repo
stringlengths 8
116
| tasks
stringlengths 8
117
| titles
stringlengths 17
302
| dependencies
stringlengths 5
372k
| readme
stringlengths 5
4.26k
| __index_level_0__
int64 0
4.36k
|
|---|---|---|---|---|---|
ram-ch/RealTimeFaceRecognition | ['face detection', 'face alignment'] | ['Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks'] | FaceTrainer.py FaceDetector.py FaceDetector FaceTrainer | # Real-Time Face Recognition This project aims at building a realtime face recognition model.The purpose is to recognize a person/persons in a natural video. The model takes in a camera feed and returns a video stream with a bounding box and a probability for all the class labels. To achieve this functionality I have used: * OpenCV - For real-time camera feed from a laptop webcam * Multi-task Cascaded Convolutional Networks (MTCNN) - For face extraction from an image * Keras face net model - For creating embeddings of the extracted faces * Support Vector Machines algorithm - For predicting the target variable class ### Files and directory structure ```bash RealTimeFaceRecognition |__FaceDetector.py | 3,400 |
ramon-oliveira/deepstats | ['anomaly detection'] | ['Known Unknowns: Uncertainty Quality in Bayesian Neural Networks'] | objectives.py run_experiment.py bayesian_anova.py dataloader.py plots_anova.py layers.py uncertainty.py plots_anova_bayesian.py plot_traces effect_difference show_results load SVHN PoorBayesianConvolution2D PoorBayesian Bayesian ProbabilisticDropout bayesian_loss log_gaussian2 explicit_bayesian_loss log_gaussian KL_standard_normal run_experiment uncertainty_classifier create_model get_measures anomaly print plot show list set_title locator_params FormatStrFormatter hist figure legend zip gca plot_posterior set_major_formatter range append len show str set_title print locator_params hist figure legend plot_posterior gca defaultdict sort reshape len to_categorical copy load_data SVHN append zeros expand_dims sum array enumerate join format collect print sort to_csv anomaly mkdir append range read_csv enumerate list Bayesian PoorBayesianConvolution2D bayesian_loss PoorBayesian Sequential ProbabilisticDropout compile add Dense MaxPooling2D Convolution2D Activation Flatten Dropout update max list T entropy std print close tqdm mean swapaxes zip append argmax array range predict enumerate len append array range fit anomaly_detection save_weights DataFrame str list set_value uncertainty_classifier len append range format create_model load join time print sort reshape fit tqdm get_measures makedirs | # Known Unknowns: Uncertainty Quality in Bayesian Neural Networks This repository holds the code for the paper "Known Unknowns: Uncertainty Quality in Bayesian Neural Networks" accepted to the Bayesian Deep Learning Workshop at NIPS 2016. Arxiv link: https://arxiv.org/abs/1612.01251 We evaluate the uncertainty quality in neural networks using anomaly detection. We extract uncertainty measures (e.g. entropy) from the predictions of candidate models, use those measures as features for an anomaly detector, and gauge how well the detector differentiates known from unknown classes. We assign higher uncertainty quality to candidate models that lead to better detectors. We also propose a novel method for sampling a variational approximation of a Bayesian neural network, called One-Sample Bayesian Approximation (OSBA). We experiment on two datasets, MNIST and CIFAR10. We compare the following candidate neural network models: Maximum Likelihood, Bayesian Dropout, OSBA, and --- for MNIST --- the standard variational approximation. We show that Bayesian Dropout and OSBA provide better uncertainty information than Maximum Likelihood, and are essentially equivalent to the standard variational approximation, but much faster. ## Reproducing results (Python 3.5) ### Installing dependences ```bash pip install -r requirements.txt ``` ### Running an experiment | 3,401 |
rand0musername/urnn | ['sequential image classification'] | ['Unitary Evolution Recurrent Neural Networks'] | problems/mnist.py problems/copying_memory_problem.py evals.py mnist_evals.py problems/test_problem.py problems/dataset.py models/keras_lstm.py results/plot.py models/urnn_cell.py problems/adding_problem.py models/tf_rnn.py baseline_ap serialize_loss baseline_cm Main serialize_loss Main KerasLSTM TFRNN serialize_to_file ReflectionMatrix modReLU IFFT URNNCell DiagonalMatrix FFT normalize PermutationMatrix AddingProblemDataset CopyingMemoryProblemDataset Dataset MnistProblemDataset TestProblemDataset deserialize plot_ap_100 plot_ap_200 plot_cmp_100 format write open format write close open sqrt abs reduce_sum complex relu real abs imag show deserialize plot show deserialize axis plot show deserialize axis plot | # urnn  Own implementation of a Unitary Evolution Recurrent Neural Network (uRNN), as proposed by Arjovsky et al. [[arXiv:1511.06464](https://arxiv.org/abs/1511.06464)]. The network is implemented using TensorFlow, and its performance is evaluated on several problems referenced in the original paper. Developed as a project in [Petnica Summer Institute: Machine Learning](http://psiml.petnica.rs) in 2017. | 3,402 |
raojay7/cnnimageretrieval-pytorch | ['image retrieval'] | ['Fine-tuning CNN Image Retrieval with No Human Annotation', 'CNN Image Retrieval Learns from BoW: Unsupervised Fine-Tuning with Hard Examples'] | cirtorch/networks/imageretrievalnet.py cirtorch/utils/get_featuremap.py cirtorch/datasets/genericdataset.py cirtorch/examples/myRtest.py cirtorch/datasets/testdataset.py cirtorch/examples/test.py cirtorch/datasets/datahelpers.py cirtorch/layers/loss.py cirtorch/examples/train.py cirtorch/examples/mytest.py cirtorch/examples/test_e2e.py cirtorch/utils/whiten.py cirtorch/utils/download_win.py cirtorch/utils/download.py cirtorch/layers/functional.py cirtorch/layers/pooling.py cirtorch/utils/general.py cirtorch/datasets/traindataset.py cirtorch/__init__.py cirtorch/utils/evaluate.py cirtorch/layers/normalization.py imresize collate_tuples default_loader cid2filename accimage_loader flip pil_loader ImagesFromList ImagesFromDataList config_qimname configdataset config_imname TuplesDataset main get_imlist main get_imlist main main validate AverageMeter test save_checkpoint set_batchnorm_eval main train l2n triplet_loss mac rmac spoc contrastive_loss roipool gem powerlaw ContrastiveLoss TripletLoss PowerLaw L2N RMAC MAC SPoC Rpool GeMmp GeM extract_ss ImageRetrievalNet extract_vectors init_network extract_ssl extract_regional_vectors extract_ms extract_local_vectors extract_ssr download_train download_test download_train download_test compute_ap compute_map compute_map_and_print get_data_root get_root htime sha256_hash visualize_feature_map get_row_col pcawhitenlearn cholesky whitenlearn whitenapply thumbnail ANTIALIAS size view join lower format len htime init_network extract_vectors gpu_id whitening save cuda str list load_state_dict append parse_args download_test whitenlearn range get_data_root get format Compose close load_url network_path eval network_offtheshelf Normalize item image_size multiscale enumerate load download_train time join T print meta_repr File configdataset create_dataset numpy split get_imlist compute_map_and_print whitenapply dot argsort network pool TuplesDataset SGD pretrained DataLoader save_checkpoint arch seed test_datasets exp Adam epochs regional manual_seed_all val directory test lr resume manual_seed isfile local_whitening ExponentialLR training_dataset min train step makedirs update time format criterion backward print squeeze AverageMeter zero_grad apply create_epoch_tuples item step cuda range enumerate len update time format criterion print squeeze AverageMeter eval create_epoch_tuples item cuda range enumerate len htime compute_map_and_print extract_vectors whitenapply cuda whitenlearn get_data_root format Compose eval Normalize join time T print dot argsort configdataset test_whiten numpy split copyfile join save eval __name__ list max_pool2d size min tolist expand_as floor item Tensor abs max range int size min tolist unsqueeze floor item append Tensor abs max range clamp size pow sqrt permute sum size pow permute item sum get children list format basename join get_data_root print ImageRetrievalNet load_url load_state_dict startswith ReLU append Rpool Linear eval cuda ImagesFromList DataLoader pow zeros clone interpolate eval cuda ImagesFromList DataLoader eval cuda ImagesFromList DataLoader join format print len system mkdir range makedirs join format print len system mkdir range makedirs float arange len compute_ap str max arange print min zeros float sum array len format compute_map concatenate print around append range len round sha256 round show subplot format print squeeze axis shape imshow title savefig figure append get_row_col sum range dot norm T eig inv mean dot sqrt diag T inv eig mean dot cholesky eye | ## CNN Image Retrieval in PyTorch: Training and evaluating CNNs for Image Retrieval in PyTorch This is a Python toolbox that implements the training and testing of the approach described in our papers: **Fine-tuning CNN Image Retrieval with No Human Annotation**, Radenović F., Tolias G., Chum O., TPAMI 2018 [[arXiv](https://arxiv.org/abs/1711.02512)] **CNN Image Retrieval Learns from BoW: Unsupervised Fine-Tuning with Hard Examples**, Radenović F., Tolias G., Chum O., ECCV 2016 [[arXiv](http://arxiv.org/abs/1604.02426)] <img src="http://cmp.felk.cvut.cz/cnnimageretrieval/img/cnnimageretrieval_network_medium.png" width=\textwidth/> --- | 3,403 |
raphael-berthier/jacobi-polynomial-iterations | ['denoising'] | ['Accelerated Gossip in Networks of Given Dimension using Jacobi Polynomial Iterations'] | polynomial_gossip.py do_the_gossip coeffs_Kesten_McKay grid_gossip PolynomialGossip adjacency_random_regular_graph build_2D_graph NormalizePolynomialGossip SimpleGossip build_3D_graph plot_curves gossip_matrix_from_adjacency_matrix largest_component ParameterFreePolynomialGossip method_to_label_color_linestyle build_2D_percolation_graph ShiftRegisterGossip build_3D_percolation_graph coeffs_Jacobi_gap adjacency_and_positions_rdm_geom_graph coeffs_Jacobi shape range zeros len minimum T place dot sum int csr_matrix diag ones identity sqrt zeros round range int csr_matrix diag ones identity zeros round range minimum modf fill_diagonal uniform pdist squareform permutation lil_matrix range bincount argmax connected_components ShiftRegisterGossip norm NormalizePolynomialGossip SimpleGossip ones eigs SplittingGossip size shortest_path gossip ParameterFreePolynomialGossip sqrt zeros PolynomialGossip sum range mu len subplots plot semilogy xlabel set_xlim ylabel sqrt legend method_to_label_color_linestyle set_tick_params set_ylim coeffs_Jacobi | ## Guide for the code generating the figures of *Berthier, Bach, Gaillard - Accelerated Gossip in Networks of Given Dimension using Jacobi Polynomial Iterations*. - [polynomial_gossip.py](https://github.com/raphael-berthier/jacobi-polynomial-iterations/blob/master/polynomial_gossip.py) contains auxiliary functions that are used in the files below. - [grid.ipynb](https://github.com/raphael-berthier/jacobi-polynomial-iterations/blob/master/grid.ipynb) generates Figures 2A, 2B, 3, 4. - [percolation.ipynb](https://github.com/raphael-berthier/jacobi-polynomial-iterations/blob/master/percolation.ipynb) generates Figures 2C, 2D. - [random_geometric_graph.ipynb](https://github.com/raphael-berthier/jacobi-polynomial-iterations/blob/master/random_geometric_graph.ipynb) generates Figures 2D, 2F. - [comparison_polynomials.ipynb](https://github.com/raphael-berthier/jacobi-polynomial-iterations/blob/master/comparison_polynomials.ipynb) generates Figure 5. - [message_passing.ipynb](https://github.com/raphael-berthier/jacobi-polynomial-iterations/blob/master/message_passing.ipynb) generates Figures 6, 7. - [parameter_tuning.ipynb](https://github.com/raphael-berthier/jacobi-polynomial-iterations/blob/master/parameter_tuning.ipynb) generates Figures 8, 9. You can play interactively with the code of the Jupyter Notebooks using Binder. The launch may take one or two minutes. [](https://mybinder.org/v2/gh/raphael-berthier/jacobi-polynomial-iterations/master) | 3,404 |
raphaelBarman/dhSegment | ['document layout analysis', 'semantic segmentation'] | ['Combining Visual and Textual Features for Semantic Segmentation of Historical Newspapers'] | dh_segment_text/network/pretrained_models/resnet50/encoder.py dh_segment_text/post_processing/line_vectorization.py exps/diva/utils.py exps/page/process.py exps/Cini/cini_post_processing.py dh_segment_text/utils/evaluation.py exps/_misc/worker.py exps/_misc/post_process_evaluation.py dh_segment_text/embeddings/pca_encoder.py exps/cbad/__init__.py exps/diva/evaluation.py exps/Ornaments/ornaments_process_eval.py exps/page/evaluation.py dh_segment_text/embeddings/__init__.py dh_segment_text/post_processing/polygon_detection.py dh_segment_text/network/pretrained_models/vgg16.py exps/Cini/cini_process_set.py doc/conf.py exps/DIBCO/dibco_evaluation.py exps/_misc/layout_generate_dataset.py exps/page/__init__.py dh_segment_text/embeddings/embeddings_utils.py exps/cbad/process.py exps/Cini/cini_evaluation.py dh_segment_text/network/pretrained_models/mobilenet/conv_blocks.py dh_segment_text/utils/misc.py dh_segment_text/embeddings/conv2d_encoder.py dh_segment_text/network/pretrained_models/resnet50/resnet_v1.py dh_segment_text/utils/__init__.py exps/cbad/evaluation.py dh_segment_text/inference/loader.py exps/cbad/utils.py dh_segment_text/io/PAGE.py dh_segment_text/network/pretrained_models/resnet50/resnet_utils.py dh_segment_text/network/model.py dh_segment_text/post_processing/__init__.py dh_segment_text/utils/params_config.py dh_segment_text/estimator_fn.py dh_segment_text/network/simple_decoder.py dh_segment_text/network/pretrained_models/mobilenet/mobilenet.py exps/Ornaments/ornaments_dataset_generator.py exps/DIBCO/dibco_dataset_generator.py exps/page/utils.py exps/diva/process.py dh_segment_text/network/pretrained_models/__init__.py exps/DIBCO/dibco_post_processing.py dh_segment_text/network/__init__.py dh_segment_train.py dh_segment_text/embeddings/conv1d_encoder.py dh_segment_text/io/via.py dh_segment_text/post_processing/boxes_detection.py dh_segment_text/io/input.py dh_segment_text/utils/labels.py dh_segment_text/inference/__init__.py dh_segment_text/io/input_utils.py dh_segment_text/post_processing/binarization.py exps/Ornaments/ornaments_process_set.py exps/diva/__init__.py demo.py dh_segment_text/__init__.py exps/Ornaments/ornaments_post_processing.py dh_segment_text/network/pretrained_models/mobilenet/encoder.py exps/__init__.py setup.py dh_segment_text/io/__init__.py dh_segment_text/network/pretrained_models/mobilenet/mobilenet_v2.py exps/Ornaments/ornaments_evaluation.py dh_segment_text/embeddings/encoder.py page_make_binary_mask format_quad_to_string run default_config model_fn Conv1dEncoder Conv2dEncoder batch_resize_maps batch_gather batch_resize_and_gather EmbeddingsEncoder PCAEncoder _signature_def_to_tensors LoadedModel input_fn serving_input_filename serving_input_image InputCase rotate_crop data_augmentation_fn local_entropy load_and_resize_image load_embeddings extract_patches_fn resize_image json_serialize get_unique_tags_from_xml_text_regions TextRegion Border Point Page TableRegion Region _get_text_equiv SeparatorRegion GroupSegment save_baselines TextLine Metadata parse_file _try_to_int GraphicRegion Text BaseElement create_masks get_via_attributes _draw_mask convert_via_region_page_text_region load_annotation_data export_annotation_dict create_via_annotation_single_image _get_xywh_from_coordinates _compute_reduced_dimensions get_annotations_per_file _collect_working_items_from_local_images create_via_region_from_coordinates _collect_working_items_from_iiif collect_working_items _scale_down_original parse_via_attributes _write_mask _get_coordinates_from_xywh Decoder Encoder _get_image_shape_tensor SimpleDecoder _upsample_concat mean_substraction VGG16 expand_input_by_factor _v1_compatible_scope_naming _fixed_padding split_separable_conv2d expanded_conv _make_divisible split_conv _split_divisible MobileNetV2 mobilenet depth_multiplier _scope_all safe_arg_scope _fixed_padding apply_activation op _set_arg_scope_defaults _make_divisible NoOpScope mobilenet_base global_pool training_scope mobilenet mobilenet_base wrapped_partial training_scope ResnetV1_50 Block conv2d_same subsample resnet_arg_scope stack_blocks_dense resnet_v1_152 resnet_v1_101 bottleneck resnet_v1_200 resnet_v1_50 resnet_v1 resnet_v1_block cleaning_probs hysteresis_thresholding cleaning_binary thresholding find_boxes find_lines find_polygonal_regions Metrics intersection_over_union class_to_label_image get_n_classes_from_file label_image_to_class multiclass_to_label_image multilabel_image_to_class get_classes_color_from_file_multilabel get_n_classes_from_file_multilabel get_classes_color_from_file dump_json load_pickle shuffled get_class_from_name hash_dict dump_pickle get_data_folder download_file parse_json PredictionType EmbeddingsParams BaseParams ModelParams TrainingParams eval_fn parse_score_txt extract_lines prediction_fn cbad_post_processing_fn vertical_local_maxima remove_borders line_extraction_v1 get_image_label_basename save_and_resize draw_lines_fn annotate_one_page cbad_set_generator get_page_filename cini_evaluate_folder cini_post_processing_fn find_elements predict_on_set generate_one_tuple get_gt_filename get_exported_image_basename get_img_filenames dibco_evaluate_folder dibco_binarization_fn eval_fn prediction_fn diva_post_processing_fn parse_diva_tool_output diva_dataset_generator to_original_color_code generate_set ornament_evaluate_folder ornaments_post_processing_fn find_ornament predict_on_set eval_fn extract_page format_quad_to_string prediction_fn page_post_processing_fn make_binary_mask get_coords_form_txt_line page_dataset_generator convert_array_masks save_and_resize save_cmap_to_txt process_one make_cmap _hash_dict evaluate_one_model cleaning_binary thresholding get_n_classes_from_file CLASSIFICATION to_dict get_n_classes_from_file_multilabel input_fn BestExporter cpu_count set_random_seed evaluate_every_epoch export from_dict str model_fn Estimator get_dirs_or_files replace input_resized_size n_epochs trange ConfigProto join evaluate serving_input_filename min train makedirs trainable_variables get_regularization_loss Saver pretrained_information exponential_decay argmax from_dict training_margin name pad encoder encoder_class get_encoder get_or_create_global_step one_hot squared_difference ModelParams softmax cosine_restart_learning learning_rate decoder exponential_learning cosine_decay_restarts AdamWOptimizer PredictOutput dict AdamOptimizer get_decoder decoder_class embeddings_encoder_class histogram adamw_optimizer scalar EmbeddingsParams get_default_graph from_dict join basename list fillna isdir isinstance glob INPUT_CSV splitext INPUT_DIR append read_csv values INPUT_LIST one_hot transpose reduce_max reduce_sum conv2d pow set_shape int32 assert_has_rank py_func set_shape py_func isinstance find from_xml parse find ndarray isinstance tolist copy to_dict scale_baseline_points Page write_to_file TextRegion list parse_file text_regions custom_attribute findall append items list print issubset set append VIAttribute keys filterfalse list keys int _formatting join list items tqdm WorkingItem append _get_image_shape_without_loading get items list basename replace tqdm raise_for_status append Session WorkingItem items list copy append values join _getimage_from_iiif uint8 imsave astype iiif image_name resize collection makedirs items list all from_iterable unique append VIAttribute values polylines reshape join uint8 astype imsave makedirs options join list format uint8 _draw_mask print tqdm dict lower append zeros resize_and_write_mask append list array stack min max list _get_xywh_from_coordinates getsize basename format annotations Page _get_coordinates_from_xywh pad int max append range identity conv2d zip append _split_divisible enumerate split items list hasattr _make_divisible pop get deepcopy get as_list as_list pool_op convert_to_tensor set_shape xavier_initializer truncated_normal_initializer deepcopy partial update_wrapper pad enumerate uint8 threshold THRESH_OTSU THRESH_BINARY GaussianBlur uint8 morphologyEx astype MORPH_CLOSE MORPH_OPEN ones label zeros unique approxPolyDP query vstack boundingRect list sorted RETR_EXTERNAL append minAreaRect format validate_box findContours KDTree int0 CHAIN_APPROX_SIMPLE print boxPoints arcLength convexHull array len get_connections T defaultdict list find_costs euclidean_distances print skimage_label shape stack unravel_index skeletonize MakeLineMCP append argmax values list sorted CHAIN_APPROX_SIMPLE print Polygon findContours RETR_EXTERNAL append zeros uint8 astype int8 get_classes_color_from_file get_classes_color_from_file get_classes_color_from_file_multilabel zeros get_classes_color_from_file_multilabel int32 zip astype float32 astype float32 seed shuffle copy rsplit import_module getattr join expanduser makedirs join extract_lines list basename format decode parse_score_txt glob print parse_file tqdm splitlines append float join sort_values to_csv splitlines rename reindex next read_csv StringIO glob join makedirs dump_pickle line_extraction_v1 cleaning_probs append find_lines hysteresis_thresholding uint8 zeros_like ones morphologyEx astype MORPH_CLOSE ones label copy load join format imresize line_extraction_v1 save_baselines shape imread imsave makedirs split sqrt float imsave resize join get_image_label_basename format zeros_like save_and_resize polylines parse_file circle copy imread get_page_filename join format glob tqdm stack savetxt annotate_one_page makedirs join format image_filename parse_file draw_baselines imsave load_pickle polylines DataFrame intersection_over_union append imread sort_values imsave format replace cini_post_processing_fn imresize glob astype join print float32 to_csv makedirs RETR_TREE uint8 sorted get_cleaned_prediction zeros_like CHAIN_APPROX_SIMPLE concatenate ones findContours astype fillConvexPoly dump_pickle int32 erode minAreaRect argmax load join cini_post_processing_fn tqdm imread makedirs int abspath int split split join format get_exported_image_basename zeros_like imread imsave precision compute_psnr resize Metrics max compute_mse imread imsave format glob compare_bin_prediction_to_label f_measure PSNR recall join uint8 print compute_prf zeros makedirs uint8 threshold astype THRESH_OTSU THRESH_BINARY GaussianBlur imsave mean connectedComponents uint8 threshold format zeros_like imsave astype THRESH_OTSU THRESH_BINARY unique GaussianBlur range process_hlp_fn splitlines split items list zeros_like join format glob annotate_one tqdm imread imsave join format tqdm stack savetxt abspath imread imsave makedirs compute_miou polylines precision resize Metrics max compute_accuracy imread imsave format glob mIOU f_measure recall join uint8 print find_box maximum compute_prf tqdm accuracy makedirs uint8 threshold format morphologyEx THRESH_OTSU THRESH_BINARY astype MORPH_CLOSE GaussianBlur imsave MORPH_OPEN load compute_miou extract_page mIOU shape intersection_over_union Metrics imread max format imsave cleaning_binary thresholding find_boxes uint8 page_post_processing_fn reshape array split join get_coords_form_txt_line uint8 basename format fillPoly open zeros imread imsave split join get_coords_form_txt_line format fillPoly tqdm stack savetxt open zeros imread imsave makedirs join format zeros_like convert_array_masks save_and_resize fillPoly parse_file copy dstack graphic_regions imread uint8 astype concatenate zeros int32 enumerate savetxt concatenate join format glob print sort _hash_dict tqdm dict makedirs | # dhSegment text This a fork of the original [dhSegment repository](https://github.com/dhlab-epfl/dhSegment). It contains the code used for the experiments of the paper: ``` Barman, Raphaël, Ehrmann, Maud, Clematide, Simon, Ares Oliveira, Sofia, and Kaplan, Frédéric (2020). Combining Visual and Textual Features for Semantic Segmentation of Historical Newspapers. Journal of Data Mining and Digital Humanities. https://arxiv.org/abs/2002.06144 ``` ## Modifications The following modifications were made: - Changing the input pipeline to read embeddings | 3,405 |
raphaelmemmesheimer/simitate | ['imitation learning'] | ['Simitate: A Hybrid Imitation Learning Benchmark'] | simitate/trajectory_loader.py setup.py simitate/transformations.py simitate/simitate_bullet.py download_and_unzip_data_file SimitateTrajectoryLoader filter_lines own_genfromtxt plot_trajectory matrix_from_row orthogonalization_matrix inverse_matrix euler_matrix translation_matrix shear_matrix vector_norm quaternion_from_matrix quaternion_inverse Arcball projection_matrix unit_vector rotation_from_matrix random_rotation_matrix quaternion_from_euler decompose_matrix clip_matrix quaternion_conjugate quaternion_slerp quaternion_about_axis arcball_map_to_sphere scale_from_matrix euler_from_quaternion scale_matrix random_quaternion quaternion_matrix superimposition_matrix arcball_nearest_axis projection_from_matrix translation_from_matrix shear_from_matrix euler_from_matrix rotation_matrix random_vector compose_matrix identity_matrix reflection_matrix concatenate_matrices is_same_transform arcball_constrain_to_axis reflection_from_matrix quaternion_multiply _import_module print get enumerate split split translation_matrix quaternion_matrix plot identity dot unit_vector identity squeeze eig array cos identity dot sin unit_vector array T squeeze eig atan2 trace array dot unit_vector array identity squeeze eig array trace dot unit_vector array identity T squeeze eig dot array len dot unit_vector tan identity T vector_norm squeeze eig identity cross dot atan array T vector_norm asin inv cos copy atan2 dot any zeros array dot euler_matrix identity radians cos sin svd T reshape eig identity quaternion_matrix roll mean dot sum identity sqrt atan2 empty cos sin zeros cos vector_norm dot array outer empty trace pi dot sin unit_vector acos sqrt rand pi sqrt array array vector_norm dot arcball_constrain_to_axis array atleast_1d sqrt sum array atleast_1d sqrt expand_dims sum array dot identity array __import__ | # Simitate: A Hybrid Imitation Learning Benchmark  * A preprint can be found on [arxiv](https://arxiv.org/abs/1905.06002). * A short overview video is available on [youtube](https://www.youtube.com/watch?v=EHRgX0_G-j4). * A [pytorch dataset integration](https://github.com/airglow/simitate_dataset_pytorch) is available. <!--<section id="video" class="bg-light">--> ## Video <video width=100% controls> <source src="video/simitate.mp4"> </video> | 3,406 |
rapidsai/cuml | ['information retrieval'] | ['GPU Semiring Primitives for Sparse Neighborhood Methods'] | python/cuml/test/dask/test_label_encoder.py python/cuml/dask/decomposition/base.py python/cuml/test/dask/test_func.py python/cuml/common/doc_utils.py python/cuml/test/test_sparsefuncs.py python/cuml/test/test_label_binarizer.py python/cuml/ensemble/__init__.py python/cuml/test/test_pickle.py python/cuml/test/test_prims.py python/cuml/test/dask/test_dask_sql.py python/cuml/test/dask/test_nearest_neighbors.py python/cuml/dask/linear_model/__init__.py python/cuml/dask/cluster/__init__.py python/cuml/common/numba_utils.py python/cuml/common/array.py python/cuml/naive_bayes/naive_bayes.py python/cython_build_ext.py python/cuml/test/dask/test_pca.py python/cuml/benchmark/nvtx_benchmark.py python/cuml/test/test_fil.py python/cuml/preprocessing/text/stem/porter_stemmer_utils/len_flags_utils.py python/cuml/test/test_logger.py python/cuml/test/test_dataset_generator_types.py python/cuml/dask/manifold/umap.py python/cuml/dask/common/func.py python/cuml/multiclass/__init__.py python/cuml/test/test_compose.py python/cuml/dask/preprocessing/__init__.py python/cuml/test/dask/test_kmeans.py python/cuml/dask/neighbors/nearest_neighbors.py python/cuml/_thirdparty/sklearn/preprocessing/_imputation.py python/cuml/test/dask/test_linear_regression.py ci/checks/copyright.py python/cuml/prims/stats/__init__.py python/cuml/linear_model/__init__.py python/cuml/test/test_batched_lbfgs.py python/cuml/test/test_array.py python/cuml/test/test_meta_estimators.py python/cuml/test/test_one_hot_encoder.py python/cuml/test/dask/test_naive_bayes.py python/cuml/test/test_svm.py python/cuml/dask/datasets/__init__.py python/cuml/test/test_make_regression.py python/cuml/test/dask/test_base.py python/cuml/test/dask/test_kneighbors_classifier.py cpp/examples/kmeans/prepare_input.py python/cuml/internals/__init__.py python/cuml/test/test_target_encoder.py python/cuml/test/dask/test_dask_utils.py ci/utils/nbtestlog2junitxml.py python/cuml/test/test_coordinate_descent.py python/cuml/test/dask/test_serialization.py python/cuml/thirdparty_adapters/adapters.py python/cuml/test/dask/test_coordinate_descent.py python/cuml/dask/metrics/confusion_matrix.py python/cuml/dask/solvers/__init__.py python/cuml/decomposition/__init__.py python/cuml/common/kernel_utils.py python/cuml/test/test_random_projection.py python/cuml/test/dask/test_dbscan.py python/cuml/dask/decomposition/tsvd.py python/cuml/feature_extraction/text.py python/cuml/dask/ensemble/__init__.py python/cuml/dask/datasets/utils.py python/cuml/internals/api_decorators.py python/cuml/test/test_benchmark.py python/cuml/test/test_incremental_pca.py python/cuml/benchmark/__init__.py python/cuml/dask/solvers/cd.py python/cuml/test/dask/test_dask_arr_utils.py python/cuml/dask/linear_model/ridge.py python/cuml/test/test_auto_arima.py python/cuml/prims/label/classlabels.py python/cuml/dask/feature_extraction/text/__init__.py python/cuml/test/test_tsvd.py python/cuml/_version.py python/cuml/common/memory_utils.py python/cuml/dask/cluster/dbscan.py python/setup.py python/cuml/test/test_nearest_neighbors.py python/cuml/test/test_allocator.py python/cuml/test/test_holtwinters.py python/cuml/internals/api_context_managers.py python/cuml/_thirdparty/sklearn/preprocessing/_discretization.py python/cuml/metrics/_ranking.py python/cuml/explainer/sampling.py python/cuml/test/test_dbscan.py python/cuml/dask/neighbors/__init__.py python/cuml/test/test_qn.py python/cuml/test/test_tfidf.py python/cuml/naive_bayes/__init__.py python/cuml/test/stemmer_tests/test_len_utils.py python/cuml/model_selection/_split.py python/setuputils.py python/cuml/dask/ensemble/base.py python/cuml/common/array_sparse.py python/cuml/preprocessing/text/__init__.py python/cuml/common/exceptions.py python/cuml/common/mixins.py python/cuml/test/dask/test_random_forest.py python/cuml/experimental/explainer/__init__.py python/cuml/dask/common/dask_arr_utils.py python/cuml/test/explainer/test_explainer_kernel_shap.py python/cuml/cluster/__init__.py python/cuml/random_projection/__init__.py python/cuml/dask/neighbors/kneighbors_regressor.py python/cuml/internals/global_settings.py python/cuml/test/test_make_classification.py python/cuml/test/test_hdbscan.py python/cuml/test/plugins/__init__.py python/cuml/test/dask/test_input_utils.py python/cuml/test/stemmer_tests/test_steps.py python/cuml/test/test_metrics.py python/cuml/solvers/__init__.py docs/source/conf.py python/cuml/preprocessing/TargetEncoder.py python/cuml/test/stemmer_tests/test_suffix_utils.py python/cuml/dask/common/part_utils.py python/cuml/preprocessing/label.py python/cuml/test/utils.py python/cuml/dask/common/dask_df_utils.py python/cuml/test/test_serialize.py python/cuml/test/test_mbsgd_classifier.py python/cuml/experimental/__init__.py python/cuml/test/dask/__init__.py python/cuml/benchmark/datagen.py python/cuml/test/dask/test_kneighbors_regressor.py python/cuml/common/timing_utils.py python/cuml/dask/neighbors/kneighbors_classifier.py python/cuml/preprocessing/text/stem/porter_stemmer_utils/measure_utils.py python/cuml/experimental/hyperopt_utils/plotting_utils.py python/cuml/dask/common/input_utils.py python/cuml/prims/array.py python/cuml/test/test_linear_model.py python/cuml/test/test_make_arima.py python/cuml/test/test_multiclass.py python/cuml/test/test_text_feature_extraction.py python/cuml/_thirdparty/__init__.py python/cuml/dask/datasets/regression.py cpp/scripts/gitutils.py python/cuml/dask/ensemble/randomforestregressor.py python/cuml/dask/feature_extraction/__init__.py python/cuml/test/test_class_enumerator.py python/cuml/test/test_preproc_utils.py python/cuml/dask/preprocessing/encoders.py python/cuml/tsa/__init__.py python/cuml/dask/datasets/blobs.py python/cuml/dask/preprocessing/label.py python/cuml/test/dask/test_label_binarizer.py python/cuml/dask/linear_model/lasso.py python/cuml/common/array_descriptor.py python/cuml/preprocessing/LabelEncoder.py python/cuml/benchmark/algorithms.py python/cuml/dask/metrics/utils.py python/cuml/test/test_module_config.py python/cuml/test/test_train_test_split.py python/cuml/dask/datasets/classification.py python/cuml/test/test_api.py python/cuml/internals/base_helpers.py python/cuml/dask/naive_bayes/naive_bayes.py python/cuml/test/test_umap.py cpp/scripts/include_checker.py python/cuml/metrics/cluster/__init__.py python/cuml/benchmark/ci_benchmark.py python/cuml/dask/ensemble/randomforestclassifier.py python/cuml/svm/linear_svr.py python/cuml/test/test_adapters.py python/cuml/test/stemmer_tests/__init__.py python/cuml/test/explainer/test_explainer_common.py python/cuml/dask/feature_extraction/text/tfidf_transformer.py python/cuml/model_selection/__init__.py python/cuml/datasets/__init__.py python/cuml/neighbors/__init__.py python/cuml/test/test_sgd.py python/cuml/datasets/utils.py python/cuml/pipeline/__init__.py python/cuml/test/test_kneighbors_classifier.py python/cuml/test/test_cuml_descr_decor.py python/cuml/test/test_kneighbors_regressor.py python/cuml/experimental/preprocessing/__init__.py python/cuml/_thirdparty/sklearn/preprocessing/_column_transformer.py python/cuml/_thirdparty/sklearn/preprocessing/_data.py python/cuml/test/test_make_blobs.py python/cuml/svm/__init__.py python/cuml/test/explainer/test_sampling.py python/cuml/test/dask/test_one_hot_encoder.py python/cuml/dask/common/base.py python/cuml/datasets/blobs.py python/cuml/test/test_lars.py python/cuml/test/dask/test_datasets.py python/cuml/__init__.py python/cuml/common/sparse_utils.py python/cuml/metrics/confusion_matrix.py python/cuml/preprocessing/__init__.py python/cuml/_thirdparty/sklearn/preprocessing/__init__.py python/cuml/common/sparsefuncs.py python/cuml/preprocessing/text/stem/porter_stemmer_utils/porter_stemmer_rules.py python/cuml/test/test_random_forest.py python/cuml/feature_extraction/_tfidf_vectorizer.py python/cuml/metrics/_classification.py cpp/examples/dbscan/gen_dataset.py python/cuml/common/input_utils.py python/cuml/multiclass/multiclass.py python/cuml/test/test_agglomerative.py python/cuml/test/dask/utils.py python/cuml/benchmark/runners.py python/cuml/benchmark/bench_helper_funcs.py python/cuml/experimental/linear_model/__init__.py python/cuml/test/dask/test_tfidf.py python/cuml/explainer/common.py python/cuml/test/explainer/test_explainer_base.py cpp/scripts/run-clang-tidy.py python/cuml/_thirdparty/sklearn/utils/validation.py python/cuml/explainer/__init__.py python/cuml/preprocessing/text/stem/porter_stemmer_utils/__init__.py python/cuml/preprocessing/text/stem/porter_stemmer_utils/consonant_vowel_utils.py python/cuml/test/dask/test_ridge_regression.py python/cuml/test/test_thirdparty.py python/cuml/_thirdparty/sklearn/utils/__init__.py python/cuml/test/test_stationarity.py python/cuml/test/conftest.py python/cuml/test/dask/test_global_settings.py python/cuml/feature_extraction/_tfidf.py python/cuml/preprocessing/text/stem/porter_stemmer.py python/cuml/test/test_naive_bayes.py python/cuml/test/explainer/test_explainer_permutation_shap.py cpp/scripts/run-clang-format.py python/cuml/test/test_trustworthiness.py python/conftest.py python/cuml/common/__init__.py python/cuml/test/test_kmeans.py python/cuml/test/test_pca.py python/cuml/pytest_benchmarks/test_bench.py python/cuml/thirdparty_adapters/sparsefuncs_fast.py python/cuml/dask/decomposition/__init__.py cpp/scripts/cuda-memcheck.py python/versioneer.py python/cuml/dask/manifold/__init__.py python/cuml/test/dask/conftest.py python/cuml/experimental/hyperopt_utils/__init__.py python/cuml/tsa/batched_lbfgs.py python/cuml/comm/serialize.py python/cuml/test/plugins/quick_run_plugin.py python/cuml/test/test_mbsgd_regressor.py python/cuml/benchmark/run_benchmarks.py python/cuml/dask/metrics/__init__.py python/cuml/prims/stats/covariance.py python/cuml/test/explainer/test_shap_plotting.py python/cuml/test/test_raft.py python/cuml/test/test_tsne.py python/cuml/metrics/__init__.py python/cuml/_thirdparty/sklearn/utils/sparsefuncs.py python/cuml/dask/common/utils.py python/cuml/_thirdparty/sklearn/utils/extmath.py python/cuml/test/test_preprocessing.py python/cuml/test/explainer/test_gpu_treeshap.py python/cuml/test/dask/test_tsvd.py python/cuml/thirdparty_adapters/__init__.py python/cuml/test/stemmer_tests/test_porter_stemmer_rules.py python/cuml/test/dask/test_umap.py python/cuml/prims/__init__.py python/cuml/dask/common/__init__.py python/cuml/test/stemmer_tests/test_stemmer.py python/cuml/manifold/__init__.py python/cuml/dask/cluster/kmeans.py python/cuml/metrics/utils.py python/cuml/decomposition/incremental_pca.py python/cuml/test/test_solver_attributes.py python/cuml/feature_extraction/_vectorizers.py python/cuml/preprocessing/text/stem/__init__.py python/cuml/test/test_label_encoder.py python/cuml/_thirdparty/sklearn/utils/skl_dependencies.py python/cuml/feature_extraction/_stop_words.py python/cuml/common/import_utils.py python/cuml/dask/decomposition/pca.py python/cuml/_thirdparty/sklearn/preprocessing/_function_transformer.py python/cuml/test/test_base.py python/cuml/dask/linear_model/elastic_net.py python/cuml/dask/preprocessing/LabelEncoder.py python/cuml/test/dask/test_metrics.py python/cuml/test/test_stats.py python/cuml/preprocessing/encoders.py python/cuml/fil/__init__.py python/cuml/datasets/classification.py python/cuml/preprocessing/onehotencoder_mg.py python/cuml/preprocessing/text/stem/porter_stemmer_utils/suffix_utils.py python/cuml/test/test_arima.py python/cuml/prims/label/__init__.py python/cuml/feature_extraction/__init__.py python/cuml/test/test_array_sparse.py python/cuml/test/test_input_utils.py python/cuml/common/type_utils.py python/cuml/dask/linear_model/linear_regression.py python/cuml/svm/linear_svc.py python/cuml/test/test_internals_api.py python/cuml/dask/naive_bayes/__init__.py python/cuml/test/test_linear_svm.py cpp/examples/symreg/prepare_input.py docs/source/sphinxext/github_link.py checkCopyright_main getCopyrightYears checkThisFile getAllFilesUnderDir checkCopyright replaceCurrentYear makeTestCaseElement getFileBaseName setTimeAttr setFileNameAttr parseLog makeFailureElement setClassNameAttr incrNumAttr makeSystemOutElement setTestNameAttr run_tests run_cmd main get_testlist parse_args listFilesToCheck __gitdiff uncommittedFiles branch repo_version_major_minor changedFilesBetween listAllFilesInDir repo_version __git determine_merge_commit changesInFileBetween isFileEmpty modifiedFiles Issue list_all_source_file rel_include_warnings make_error_msg check_includes_in make_warn_msg make_msg main parse_args main parse_args run_clang_format list_all_src_files run_clang_tidy get_gpu_archs remove_item_plus_one get_index collect_result print_result get_all_commands get_clang_includes get_tidy_args run_tidy_for_all_files main print_results run_clang_tidy_command parse_args remove_item setup isfunction make_linkcode_resolve _linkcode_resolve _get_git_revision pytest_addoption pytest_collection_modifyitems cython_build_ext cuml_build_ext cuml_build clone_repo_if_needed get_repo_cmake_info _get_repo_path clean_folder get_submodule_dependency get_cli_option use_raft_package clone_repo get_environment_option versions_from_parentdir do_vcs_install get_cmdclass get_version run_command get_root scan_setup_py render_git_describe_long render_pep440_old do_setup write_to_version_file git_pieces_from_vcs render VersioneerBadRootError NotThisMethod git_versions_from_keywords render_git_describe get_versions versions_from_file plus_or_dot render_pep440_pre get_config_from_root VersioneerConfig render_pep440_post git_get_keywords render_pep440 register_vcs_handler versions_from_parentdir run_command render_git_describe_long render_pep440_old git_pieces_from_vcs get_keywords render NotThisMethod get_config git_versions_from_keywords render_git_describe get_versions plus_or_dot render_pep440_pre VersioneerConfig render_pep440_post git_get_keywords render_pep440 register_vcs_handler __getattr__ AlgorithmPair _labels_to_int_hook _treelite_format_hook algorithm_by_name all_algorithms _build_fil_classifier _build_cpu_skl_classifier _build_fil_skl_classifier fit_kneighbors _build_treelite_classifier _treelite_fil_accuracy_score _training_data_to_numpy fit_transform predict fit log_range make_bench_configs expand_params report_asv _gen_data_blobs _download_and_cache _gen_data_higgs _convert_to_numpy _convert_to_scipy_sparse_csc all_datasets _convert_to_gpuarray load_higgs gen_data _convert_to_scipy_sparse _convert_to_pandas _convert_to_scipy_sparse_csr _convert_to_gpuarray_c _sparsify_and_convert _gen_data_zeros _convert_to_cudf _gen_data_regression _gen_data_classification Profiler AccuracyComparisonRunner run_variations BenchmarkTimer SpeedupComparisonRunner extract_param_overrides rfc_deserialize rfc_serialize rfr_serialize rfr_deserialize serialize_mat_descriptor _check_low_level_type CumlArray CumlArrayDescriptor CumlArrayDescriptorMeta SparseCumlArray generate_docstring insert_into_docstring NotFittedError has_sklearn check_min_cupy_version dummy_function_always_false has_shap has_hdbscan_plots has_dask_sql check_min_numba_version has_lightgbm has_cupy has_dask has_pytest_benchmark check_min_dask_version has_scipy has_ucp has_xgboost DummyClass has_umap has_dask_cudf determine_array_type get_supported_input_type is_array_like determine_array_dtype input_to_host_array order_to_str convert_dtype determine_array_type_full input_to_cuml_array input_to_cupy_array sparse_scipy_to_cp _typecast_will_lose_information get_dtype_str get_dtype_strs cuda_kernel_factory _check_array_contiguity _strides_to_order class_with_cupy_rmm using_output_type _rmm_cupy6_array_like _get_size_from_shape numba_row_matrix ArrayInfo _order_to_strides with_cupy_rmm set_global_output_type rmm_cupy_ary ClassifierMixin StringInputTagMixin TagsMixin AllowNaNTagMixin SparseInputTagMixin ClusterMixin StatelessTagMixin RegressorMixin FMajorInputTagMixin CMajorInputTagMixin zeros gpu_zeros_2d gpu_zeros_1d extract_knn_graph csr_row_normalize_l2 csr_row_normalize_l1 csr_diag_mul _insert_zeros create_csr_matrix_from_count_df _map_l1_norm_kernel _map_l2_norm_kernel is_sparse is_dense timed wraps_typed DBSCAN KMeans _transform_func mnmg_import DelayedInverseTransformMixin DelayedPredictionProbaMixin _predict_proba_func DelayedParallelFunc _inverse_transform_func _predict_func SyncFitMixinLinearModel DelayedPredictionMixin _func_fit DelayedTransformMixin BaseEstimator _get_meta _to_cudf validate_dask_array _conv_df_to_sparse to_sparse_dask_array _conv_array_to_sparse to_dask_cudf get_meta to_dask_df to_dask_cudf reduce tree_reduce DistributedDataHandler _get_meta _get_rows to_output _to_dask_cudf concatenate to_dask_cupy _workers_to_parts _get_ary_meta _get_datatype_from_inputs hosts_to_parts flatten_grouped_results parts_to_ranks workers_to_parts _extract_partitions _func_get_rows _default_part_getter get_visible_devices device_of_devicendarray get_client MultiHolderLock build_host_dict persist_across_workers raise_exception_from_futures wait_and_raise_from_futures get_device_id select_device parse_host_port raise_mg_import_exception _create_local_data make_blobs _create_covariance make_classification _f_order_standard_normal _convert_to_order _generate_chunks_for_qr _dask_data_from_multivariate_normal _make_low_rank_covariance _shuffle _create_rs_generator make_low_rank_matrix _data_from_multivariate_normal make_regression _dask_shuffle _dask_make_low_rank_covariance _generate_singular_values _dask_f_order_standard_normal _get_labels _create_delayed _dask_array_from_delayed _get_X DecompositionSyncFitMixin BaseDecomposition PCA TruncatedSVD RandomForestClassifier RandomForestRegressor TfidfTransformer ElasticNet Lasso LinearRegression Ridge UMAP _local_cm confusion_matrix sorted_unique_labels MultinomialNB KNeighborsClassifier KNeighborsRegressor NearestNeighbors OneHotEncoder LabelBinarizer LabelEncoder CD _get_centers make_blobs _generate_hypercube make_classification _create_rs_generator _safe_accumulator_op _svd_flip _validate_sparse_input _incremental_mean_and_var IncrementalPCA _gen_batches plot_heatmap plot_search_results get_tag_from_model_func logit get_dtype_from_model_func _identity_inverse model_func_call identity get_handle_from_cuml_model_func get_link_fn_from_str_or_fn output_list_shap_values _logit_inverse get_cai_ptr kmeans_sampling TfidfTransformer _sparse_document_frequency _get_dtype TfidfVectorizer _VectorizerMixin _term_frequency _preprocess CountVectorizer _document_frequency HashingVectorizer ProcessEnterBaseMixin BaseReturnGenericCM get_internal_context BaseReturnAnyCM ReturnGenericCM ReturnAnyCM InternalAPIContext ProcessReturnGeneric set_api_output_dtype ProcessEnterBaseReturnArray set_api_output_type ProcessReturn BaseReturnSparseArrayCM ProcessEnterReturnArray _using_mirror_output_type ProcessReturnAny in_internal_api ProcessEnter InternalAPIContextBase ProcessReturnSparseArray BaseReturnArrayCM ReturnSparseArrayCM ReturnArrayCM ProcessEnterReturnAny ProcessReturnArray api_ignore ReturnGenericDecorator mirror_args BaseReturnSparseArrayDecorator BaseReturnGenericDecorator ReturnAnyDecorator BaseReturnAnyDecorator BaseReturnArrayDecorator ReturnSparseArrayDecorator HasGettersDecoratorMixin WithArgsDecoratorMixin ReturnDecorator _deprecate_pos_args exit_internal_api api_base_return_autoarray DecoratorMetaClass ReturnArrayDecorator HasSettersDecoratorMixin BaseReturnArrayFitTransformDecorator _check_and_wrap_init _get_base_return_type _process_generic _wrap_attribute BaseMetaClass _tags_class_and_instance GlobalSettings _GlobalSettingsData confusion_matrix sorted_unique_labels _weighted_sum log_loss _calculate_area_under_curve _addup_x_in_group _binary_roc_auc_score precision_recall_curve _binary_clf_curve _group_same_scores roc_auc_score _stratify_split train_test_split _approximate_mode OneVsOneClassifier OneVsRestClassifier MulticlassClassifier GaussianNB count_features_dense_kernel count_classes_kernel BernoulliNB CategoricalNB _convert_x_sparse _BaseNB _BaseDiscreteNB MultinomialNB count_features_coo_kernel OneHotEncoder LabelBinarizer label_binarize LabelEncoder OneHotEncoderMG TargetEncoder apply_rule_list map_irregular_forms build_can_replace_mask PorterStemmer apply_rule get_condition_flag is_vowel contains_vowel is_consonant len_gt_n len_eq_n measure_eq_n has_positive_measure measure_gt_n ends_with_double_constant last_char_not_in last_char_in ends_with_suffix ends_cvc subtract_valid replace_suffix get_str_replacement_series get_stem_series get_index_replacement_series _binarize_kernel binarize invert_labels _validate_kernel check_labels make_monotonic _inverse_map_kernel _map_kernel cov _cov_kernel test_pca _benchmark_algo test_with_blobs test_kmeans LinearSVC LinearSVR housing_dataset pytest_runtest_makereport pytest_configure exact_shap_regression_dataset nlp_20news get_gpu_memory exact_shap_classification_dataset create_synthetic_dataset random_seed failure_logger test_inplace_csr_row_normalize_l1 test_check_array test_csr_mean_variance_axis0 sparse_random_dataset test_masked_column_mean test_masked_column_median mask_dataset test_inplace_csr_row_normalize_l2 test_csc_mean_variance_axis0 test_masked_column_mode test__csc_mean_variance_axis0 test_get_mask test_duplicate_distances test_single_linkage_sklearn_compare test_invalid_inputs test_dummy_allocator dummy_allocator test_logistic_regression test_naive_bayes test_dynamic_tags_and_composition func_positional_arg test_get_tags dummy_class_with_tags test_tag_mixins test_mro test_fit_function dummy_classifier_estimator test_estimator_type_mixins dummy_regressor_estimator dataset dummy_cluster_estimator test_loglikelihood _statsmodels_to_cuml fill_interpolation test_gradient extract_order test_predict_inout get_ref_fit _predict_common test_forecast test_intervals get_dataset test_integration test_start_params mase test_predict_in ARIMAData test_output test_create_full test_sliced_array_owner test_deepcopy test_create_ones test_array_init_from_bytes test_create_zeros test_serialize test_cuda_array_interface create_input test_array_init get_owner test_pickle helper_test_ownership create_ary_init_tests test_cumlary_binops test_get_set_item test_create_empty test_output_dtype test_ownership_with_gc test_array_init_bad test_output test_convert_to_dtype test_convert_index test_nonsparse_input_fails test_input test_divide_by_min test_divide_by_mask _build_division_map_ref test_merge_series test_build_division_map test_base_children_get_param_names test_base_class_usage test_base_hasattr test_base_subclass_init_matches_docs test_base_n_features_in test_base_class_usage_with_handle rosenbrock g_rosenbrock batched_rosenbrock test_batched_lbfgs_rosenbrock g_batched_rosenbrock test_run_variations test_data_generator_split test_fil_input_types test_real_algos_runner test_multi_reps test_data_generators test_speedup_runner test_data_generator_types test_accuracy_runner test_training_data_to_numpy test_class_enumerator_empty_module test_class_enumerator_parameters test_class_enumerator test_class_enumerator_actual_module test_make_column_selector test_column_transformer_get_feature_names test_column_transformer test_column_transformer_named_transformers_ test_column_transformer_sparse test_make_column_transformer_sparse test_make_column_transformer test_elastic_net_default test_elastic_net test_lasso test_lasso_predict_convert_dtype test_elastic_net_predict_convert_dtype test_set_params test_lasso_default test_xy_output_type test_time_series_label_output_type test_core_point_prop2 test_dbscan_sklearn_comparison test_dbscan_propagation test_dbscan_no_calc_core_point_indices test_dbscan_precomputed test_dbscan_default test_dbscan_on_empty_array test_core_point_prop3 test_core_point_prop1 test_dbscan test_dbscan_out_dtype_fails_invalid_input small_classifier_and_preds test_fil_skl_classification test_output_algos test_print_forest_shape test_output_blocks_per_sm test_threads_per_tree test_output_args test_lightgbm simulate_data to_categorical test_thresholding test_fil_regression test_fil_classification test_output_storage_type test_fil_skl_regression _build_and_save_xgboost test_hdbscan_cluster_patterns test_hdbscan_sklearn_datasets test_hdbscan_sklearn_extract_clusters test_hdbscan_cluster_patterns_extract_clusters test_hdbscan_core_dists_bug_4054 assert_condensed_trees get_bfs_level assert_cluster_counts test_hdbscan_plots get_children test_hdbscan_empty_cluster_tree test_hdbscan_blobs test_get_trend test_inputs_holtwinters test_series_holtwinters test_get_season test_singlets_holtwinters test_multits_holtwinters test_get_level test_start_freq_holtwinters test_seasonal_holtwinters test_eps_holtwinters test_exceptions test_svd_flip test_fit test_partial_fit test_dtype_check test_fail_on_order get_input test_input_to_host_array test_convert_vector_order_cuml_array test_input_to_cuml_array test_indexed_inputs test_tocupy_missing_values_handling test_convert_input_dtype test_non_contiguous_to_contiguous_input check_ptr test_convert_matrix_order_cuml_array check_numpy_order test_internals_api CustomCallback random_state test_traditional_kmeans_plus_plus_init test_n_init_cluster_consistency test_kmeans_sklearn_comparison test_weighted_kmeans test_all_kmeans_params test_kmeans_sklearn_comparison_default test_kmeans_clusters_blobs get_data_consistency_test test_fit_transform_weighted_kmeans test_score test_nonmonotonic_labels test_predict_proba test_predict_large_n_classes test_predict_proba_multioutput test_predict_non_gaussian _build_train_test_data test_predict_multioutput test_neighborhood_predictions test_predict_proba_large_n_classes test_score test_kneighborsRegressor_multioutput_uniform_weight test_score_dtype test_kneighbors_regressor test_predict_multioutput test_score test_basic_functions _df_to_similarity_mat test_labelencoder_unseen test_unfitted_inverse_transform test_masked_encode test_labelencoder_unfitted test_labelencoder_transform test_inverse_transform test_labelencoder_fit_transform test_empty_input test_lars_copy_X test_lars_model test_lars_collinear normalize_data test_lars_attributes test_logistic_regression_model_digits test_ridge_regression_model_default test_linreg_predict_convert_dtype test_logistic_regression_unscaled test_logistic_regression_model_default test_linear_regression_single_column test_linear_models_set_params _make_regression_dataset_uncached make_classification_dataset test_ridge_regression_model test_logistic_regression_decision_function test_ridge_predict_convert_dtype test_logistic_regression test_logistic_regression_predict_proba _make_regression_dataset_from_cache test_logistic_regression_input_type_consistency test_logistic_predict_convert_dtype regression_dataset test_logistic_regression_sparse_only make_regression_dataset test_linear_regression_model_default test_logistic_regression_weighting test_linear_regression_model test_regression_eps with_timeout run_regression run_classification test_classification_2 test_classification_1 make_regression_dataset test_regression_basic make_classification_dataset good_enough test_make_arima test_make_blobs_scalar_parameters test_make_classification test_make_classification_informative_features test_make_regression test_mbsgd_classifier_set_params make_dataset test_mbsgd_classifier_vs_skl test_mbsgd_classifier_default test_mbsgd_classifier test_mbsgd_regressor_vs_skl test_mbsgd_regressor make_dataset test_mbsgd_regressor_set_params test_mbsgd_regressor_default test_pipeline_with_regression classification_dataset test_pipeline test_gridsearchCV regression_dataset test_pipeline_with_classification test_r2_score test_pairwise_distances_exceptions test_rand_index_score random_state test_confusion_matrix test_sparse_pairwise_distances_exceptions test_sparse_pairwise_distances_corner_cases test_silhouette_samples_batched prepare_sparse_data test_sparse_pairwise_distances_output_types test_mutual_info_score_range_equal_samples test_multioutput_regression test_silhouette_score_batched naive_inner test_homogeneity_non_homogeneous_labeling test_accuracy test_pairwise_distances test_regression_metrics_multioutput_array test_mse_vs_msle_custom_weights test_silhouette_score_batched_non_monotonic test_roc_auc_score_random test_pairwise_distances_sklearn_comparison test_pairwise_distances_output_types test_confusion_matrix_binary test_mutual_info_score_big_array test_mutual_info_score test_confusion_matrix_random test_precision_recall_curve_random test_hinge_loss test_confusion_matrix_random_weights test_confusion_matrix_normalize test_regression_metrics test_regression_metrics_random score_mutual_info test_entropy test_homogeneity_score_big_array test_log_loss test_mean_squared_error ref_sparse_pairwise_dist naive_hellinger test_homogeneity_non_perfect_labeling test_mean_squared_log_error_exceptions ref_dense_pairwise_dist test_sklearn_search prep_dense_array test_confusion_matrix_multiclass_subset_labels test_homogeneity_perfect_labeling test_completeness_non_perfect_labeling test_completeness_non_complete_labeling score_completeness test_completeness_perfect_labeling test_log_loss_random test_regression_metrics_custom_weights test_roc_auc_score test_sparse_pairwise_distances_sklearn_comparison test_mutual_info_score_many_blocks test_entropy_random score_homogeneity test_pairwise_distances_one_dimension_order test_completeness_score_big_array test_precision_recall_curve_at_limits test_kl_divergence test_roc_auc_score_at_limits naive_kl_divergence_dist test_regression_metrics_at_limits test_pairwise_distances_unsuppored_metrics test_homogeneity_completeness_symmetry labeled_clusters test_precision_recall_curve test_log_loss_at_limits test_global_output_type test_default_global_output_type get_small_dataset test_output_type_context_mgr global_output_type test_logistic_regression test_gaussian_fit_predict test_categorical_partial_fit test_gaussian_parameters test_gaussian_partial_fit test_categorical_parameters test_multinomial_predict_proba test_categorical test_bernoulli_partial_fit test_gaussian_basic test_multinomial_score test_multinomial_predict_log_proba test_multinomial_partial_fit test_sparse_integral_dtype_fails test_bernoulli test_multinomial_basic_fit_predict_sparse test_multinomial_basic_fit_predict_dense_numpy test_return_dists test_knn_graph test_nearest_neighbors_sparse test_knn_fit_twice metric_p_combinations test_ivfsq_pred test_haversine_fails_high_dimensions test_ann_distances_metrics test_ivfflat_pred test_ivfpq_pred valid_metrics_sparse test_nn_downcast_fails test_knn_x_none test_self_neighboring test_neighborhood_predictions test_nearest_neighbors_rbc predict test_knn_separate_index_search test_haversine test_n_jobs_parameter_passthrough valid_metrics test_onehot_random_inputs from_df_to_numpy test_onehot_category_specific_cases _convert_drop test_onehot_drop_exceptions test_onehot_categories test_onehot_inverse_transform_handle_unknown test_onehot_inverse_transform test_onehot_drop_idx_first test_onehot_fit_handle_unknown test_onehot_transform_handle_unknown _from_df_to_cupy test_onehot_sparse_drop generate_inputs_from_categories test_onehot_category_class_count test_onehot_vs_skonehot test_onehot_drop_one_of_each test_onehot_get_categories test_onehot_categories_shape_mismatch assert_inverse_equal test_pca_defaults test_sparse_pca_inputs test_exceptions test_pca_fit_then_transform test_pca_fit test_pca_fit_transform test_pca_inverse_transform test_unfit_pickle make_dataset test_dbscan_pickle test_neighbors_pickle test_unfit_clone test_cluster_pickle test_solver_pickle test_k_neighbors_classifier_pickle make_classification_dataset test_decomposition_pickle test_small_rf test_svr_pickle test_umap_pickle test_neighbors_pickle_nofit test_regressor_pickle test_tsne_pickle pickle_save_load test_svr_pickle_nofit test_decomposition_pickle_xfail test_agglomerative_pickle test_svc_pickle_nofit test_svc_pickle test_rf_regression_pickle test_poly_features_sparse test_imputer test_normalize test_binarizer_sparse test_poly_features test_binarize test_normalizer test__repr__ test_maxabs_scaler_sparse test_robust_scale test_binarizer test_scale_sparse test_standard_scaler test_standard_scaler_sparse test_maxabs_scaler test_robust_scaler_sparse test_minmax_scaler test_robust_scaler test_robust_scale_sparse test_missing_indicator_sparse test_maxabs_scale test_add_dummy_feature_sparse test_imputer_sparse test_missing_indicator test_function_transformer test_binarize_sparse test_minmax_scale test_normalizer_sparse test_add_dummy_feature test_scale test_function_transformer_sparse test_normalize_sparse test_kbinsdiscretizer test_monotonic_validate_invert_labels test_qn test_raft mclass_clf test_rf_multiclass_classifier_gtil_integration large_reg test_rf_regression_float64 test_multiple_fits_regression test_rf_get_json special_reg test_tweedie_convergence test_rf_classification_proba test_rf_binary_classifier_gtil_integration test_concat_memory_leak test_rf_classification test_multiple_fits_classification large_clf test_rf_memory_leakage test_rf_regression_sparse test_rf_classification_multi_class small_clf test_rf_regression_with_identical_labels check_predict_proba test_rf_nbins_small test_rf_classification_sparse test_rf_regressor_gtil_integration test_rf_regression test_create_classification_model test_rf_classification_seed test_rf_classification_float64 rf_classification test_rf_host_memory_leak test_rf_get_text test_random_projection_fit_transform test_random_projection_fit test_random_projection_fit_transform_default test_johnson_lindenstrauss_min_dim test_cupy_sparse_patch test_naive_bayes_cuda test_sgd_default test_sgd test_mbsgd_regressor_attributes test_mbsgd_classifier_attributes test_elastic_net_attributes test_lasso_attributes test_logistic_regression_attributes test_csr_norms kpss_ref prepare_data test_stationarity test_cov test_svm_memleak compare_probabilistic_svm make_dataset compare_svm test_svr_skl_cmp_weighted test_svm_numeric_arraytype get_memsize test_svm_predict_convert_dtype compare_svr test_svm_skl_cmp_predict_proba array_equal test_svm_predict test_svm_skl_cmp_datasets test_svm_no_support_vectors test_svm_skl_cmp_kernels test_svm_memleak_on_exception test_svr_skl_cmp test_svm_skl_cmp_decision_function test_svc_weights test_svm_skl_cmp_multiclass make_regression_dataset test_svm_gamma get_binary_iris_dataset test_targetencoder_fit_transform test_targetencoder_cupy test_targetencoder_newly_encountered test_targetencoder_transform test_targetencoder_multi_column test_one_category test_targetencoder_pandas test_targetencoder_smooth test_targetencoder_random test_targetencoder_numpy test_countvectorizer_max_df test_word_analyzer test_vectorizer_empty_token_case test_countvectorizer_separate_fit_transform test_tfidf_vectorizer_idf_setter test_hashingvectorizer_stop_word test_empty_doc_after_limit_features test_tfidf_vectorizer assert_almost_equal_hash_matrices test_space_ngrams test_hashingvectorizer test_countvectorizer_max_features_counts test_countvectorizer_stop_words_ngrams test_vectorizer_min_df test_tfidf_vectorizer_setters test_hashingvectorizer_n_features test_vectorizer_inverse_transform test_hashingvectorizer_lowercase test_countvectorizer_empty_vocabulary test_hashingvectorizer_alternate_sign test_hashingvectorizer_delimiter test_count_binary_occurrences test_only_delimiters test_transform_unsigned_categories test_count_vectorizer test_countvectorizer_max_features test_hashingvectorizer_norm test_hashingvectorizer_dtype test_countvectorizer_stop_words test_sngle_len test_character_ngrams test_tfidf_vectorizer_get_feature_names test_non_ascii test_countvectorizer_custom_vocabulary test_tfidf_transformer_sparse test_tfidf_transformer_copy test_tfidf_transformer test_check_X_y test_inplace_csr_column_scale sparse_random_dataset random_dataset test_incremental_mean_and_var test_min_max_axis sparse_extremes test_mean_variance_axis test_row_norms test_inplace_column_scale test_min_max_axis_extremes test_inplace_csr_row_scale test_stratified_split test_split_size_mismatch test_random_state test_split_column test_split_dataframe test_stratify_any_input test_split_dataframe_array test_split_df_single_argument test_split_array_single_argument test_stratified_random_seed test_split_invalid_proportion test_stratify_retain_index test_array_split test_default_values test_stratified_binary_classification test_trustworthiness test_trustworthiness_invalid_input test_tsne_knn_parameters test_tsne test_components_exception test_tsne_fit_transform_on_digits_sparse validate_embedding test_tsne_large test_tsne_knn_graph_used test_tsne_knn_parameters_sparse test_tsvd_fit test_tsvd_inverse_transform test_tsvd_fit_transform test_umap_transform_on_digits test_umap_fit_transform_reproducibility test_blobs_cluster test_umap_fit_transform_against_fit_and_transform test_exp_decay_params test_semisupervised_umap_trustworthiness_on_iris test_umap_transform_on_iris test_umap_fit_transform_score test_umap_fit_transform_score_default test_umap_fit_transform_trust test_umap_fit_transform_trustworthiness_with_consistency_enabled test_umap_transform_trustworthiness_with_consistency_enabled test_umap_transform_on_digits_sparse test_umap_transform_reproducibility test_supervised_umap_trustworthiness_on_iris test_umap_knn_parameters test_umap_data_formats test_umap_trustworthiness_on_iris get_handle ClassEnumerator get_classes_from_package normalize_clusters small_regression_dataset generate_random_labels array_equal clusters_equal stress_param assert_dbscan_equal get_shap_values score_labeling_with_handle get_pattern to_nparray quality_param small_classification_dataset get_number_positional_args unit_param create_output create_input test_dec_input_output test_auto_predict test_return_array test_pickle test_auto_fit assert_array_identical DummyTestEstimator test_redirected_logger test_logger test_log_flush create_rand_integers convert sparse_clf_dataset sparsify_and_convert int_dataset sparse_blobs_dataset create_rand_clf sparse_dataset_with_coo sparse_imputer_dataset to_output_type sparse_int_dataset create_rand_blobs clf_dataset blobs_dataset assert_allclose ucx_client cluster ucx_cluster client test_regressor_sg_train_mg_predict test_getattr test_get_combined_model make_dataset test_check_internal_model_failures test_regressor_mg_train_sg_predict test_elastic_net test_lasso_default test_elastic_net_default test_lasso test_validate_dask_array test_to_sparse_dask_array test_dask_sql_sg_logistic_regression _raise_exception test_dask_exceptions test_make_classification test_make_regression test_make_blobs test_dbscan_propagation test_dbscan_sklearn_comparison test_dbscan_no_calc_core_point_indices test_dbscan_precomputed test_dbscan_default test_dbscan test_dbscan_out_dtype_fails_invalid_input test_reduce_futures test_tree_reduce_delayed test_tree_reduce_futures s test_set_global_output_type test_using_mirror_output_type test_using_output_type test_global_settings_data test_global_settings test_extract_partitions_shape test_extract_partitions_worker_list test_extract_partitions_futures test_end_to_end test_weighted_kmeans test_transform test_score exact_match test_predict_proba generate_dask_array check_probabilities test_predict_and_score dataset test_predict_1D_labels exact_match generate_dask_array test_predict_and_score dataset test_predict_1D_labels test_basic_functions test_sparse_output_fails test_labelencoder_unseen test_unfitted_inverse_transform _arr_to_similarity_mat test_masked_encode test_labelencoder_unfitted test_labelencoder_transform test_inverse_transform test_labelencoder_fit_transform test_empty_input make_regression_dataset _prep_training_data test_ols test_confusion_matrix test_confusion_matrix_binary test_confusion_matrix_random test_confusion_matrix_random_weights test_confusion_matrix_normalize test_confusion_matrix_multiclass_subset_labels test_single_distributed_exact_results test_basic_fit_predict test_model_multiple_chunks test_score _scale_rows test_default_n_neighbors test_one_query_partition test_compare_skl test_return_distance _prep_training_data test_batch_size predict test_onehot_vs_skonehot test_onehot_random_inputs test_onehot_inverse_transform test_onehot_drop_idx_first test_onehot_drop_one_of_each test_onehot_drop_exceptions test_onehot_fit_handle_unknown test_onehot_transform_handle_unknown test_onehot_get_categories test_onehot_categories test_onehot_inverse_transform_handle_unknown test_pca_fit test_pca_fit_transform_fp32 test_pca_fit_transform_fp64 test_pca_fit_transform_fp32_noncomponents test_rf_regression_dask_cpu test_rf_classification_multi_class test_rf_get_combined_model_right_aftter_fit test_rf_get_json test_rf_regression_dask_fil test_rf_classification_dask_array test_single_input_regression test_rf_instance_count test_rf_broadcast test_rf_classification_dask_fil_predict_proba test_rf_concatenation_dask _prep_training_data test_rf_get_text make_regression_dataset _prep_training_data test_ridge test_register_naive_bayes_serialization test_sparse_cumlarray_serialization generate_dask_array create_cp_sparse_ar_from_dense_np_ar create_cp_sparse_dask_array create_scipy_sparse_array_from_dask_cp_sparse_array test_tfidf_transformer test_pca_fit test_pca_fit_transform_fp32 test_pca_fit_transform_fp64 _run_mnmg_test _umap_mnmg_trustworthiness test_umap_mnmg _local_umap_trustworthiness _load_dataset load_text_corpus dummy_func test_init_explainer_base_wrong_dtype test_init_explainer_base_init_cuml_model test_init_explainer_base_init_abritrary_model test_get_tag_from_model_func test_get_link_fn_from_str test_get_gpu_tag_from_model_func test_model_func_call_gpu create_dummy_model test_get_handle_from_cuml_model_func test_get_link_fn_from_fn dummy_func test_get_handle_from_dummy_func test_get_cai_ptr test_get_link_fn_from_wrong_str test_get_dtype_from_model_func test_partial_powerset test_kernel_housing_dataset test_exact_classification_datasets test_l1_regularization test_full_powerset test_exact_regression_datasets test_kernel_shap_standalone test_generate_nsamples_weights test_kernel_gpu_cpu_shap test_typeerror_input test_binom_coef test_get_number_of_exact_random_samples assert_and_log test_shapley_kernel test_permutation test_different_parameters test_exact_classification_datasets test_not_shuffled_explanation test_regression_datasets test_cuml_rf_classifier test_degenerate_cases test_xgb_classifier test_cuml_rf_regressor test_xgb_regressor test_kmeans_input explainer test_summary test_decision_plot test_dependence_plot get_shap_values test_bar test_heatmap test_waterfall test_violin pytest_addoption pytest_collection_modifyitems test_len_gt_n test_len_eq_n test_ends_with_suffix test_ends_with_empty_suffix get_words test_same_results test_step2 test_step5a test_step1c test_step1b test_step4 test_step1a test_step5b test_step3 test_replace_suffix test_get_stem_series check_dtype _get_mask check_array _masked_column_median _masked_column_mode check_sparse check_finite _masked_column_mean l1_step1_k csr_polynomial_expansion l2_step1_k norm_step2_k csr_mean_variance_axis0 _csc_mean_variance_axis0 _deg3_column perform_expansion _deg2_column csc_mean_variance_axis0 inplace_csr_row_normalize_l1 inplace_csr_row_normalize_l2 _fd_fprime batched_fmin_lbfgs_b _transform_one _safe_indexing _print_elapsed_time _determine_key_type _get_column_indices _message_with_time _fit_transform_one issparse ColumnTransformer _FuncWrapper _name_estimators _pandas_indexing delayed _list_indexing _get_transformer_list make_column_selector _is_empty_column_selection _array_indexing make_column_transformer MaxAbsScaler Binarizer minmax_scale robust_scale _handle_zeros_in_scale binarize maxabs_scale PolynomialFeatures normalize scale add_dummy_feature KernelCenterer QuantileTransformer RobustScaler Normalizer PowerTransformer power_transform MinMaxScaler quantile_transform StandardScaler digitize KBinsDiscretizer FunctionTransformer _identity SimpleImputer _check_inputs_dtype is_scalar_nan _BaseImputer _get_elem_at_rank _get_median _most_frequent MissingIndicator _incremental_mean_and_var _safe_accumulator_op row_norms TransformerMixin BaseComposition BaseEstimator issparse iscsc _minor_reduce inplace_csr_column_scale mean_variance_axis _sparse_min_or_max _raise_error_wrong_axis min_max_axis _sparse_min_max _min_or_max_axis inplace_column_scale _raise_typeerror _sparse_nan_min_max iscsr inplace_csr_row_scale check_is_fitted check_X_y _allclose_dense_sparse check_random_state search search format sub join format getCopyrightYears print close append replaceCurrentYear year pathFilter join walk append join format print add_argument parse_known_args ArgumentParser git_modified_only sep sum modifiedFiles split join Element join Element update int str strip float split get int str add_argument ArgumentParser chdir getcwd rstrip run print run_cmd splitlines sub append time print pwd run_cmd verbose append flush len run_tests exe pwd get_testlist parse_args join list check_output rstrip __git print repo_version group match print repo_version_major_minor __git format strip sub __git splitlines append split branch __gitdiff __git __gitdiff branch splitlines __git append get uncommittedFiles print branch changedFilesBetween splitlines determine_merge_commit append append join walk append listAllFilesInDir isdir isfile compile regex append join search walk join format curdir Issue any append join relpath Issue subn group search altsep rel_include_warnings dirname abspath append sep split regex_compiled join format list_all_source_file print dirs inplace get_msg_str exit check_includes_in append sep split decode exe check_output mkdtemp search group ignore append join search walk basename print check_call dirname makedirs dstdir ignore_compiled list_all_src_files cpu_count search group append range len get_index get_index join decode check_output getenv dirname get_gpu_archs endswith remove_item_plus_one extend get_clang_includes get_index remove_item split join run exe extend get_tidy_args run_clang_tidy_command append append print print_result join run_clang_tidy apply_async collect_result close cdb get_all_commands run_tidy_for_all_files add_css_file type orig hasattr strip join format relpath print __import__ getsourcefile search group __doc__ abspath unwrap _get_git_revision addoption getgroup getoption skip add_marker boolean_options user_options boolean_options user_options get str print print str remove glob extend rmtree clone_repo_if_needed join str isinstance print realpath symlink islink join get_submodule_dependency _get_repo_path get_repo_cmake_info join str isinstance print clone_repo exists print getcwd chdir check_call findall replace _get_repo_path resolve join print getcwd realpath dirname abspath normcase get join SafeConfigParser VersioneerConfig str decode print strip Popen readlines group search close startswith open get join sorted replace print strip set startswith int replace print endswith strip search group run_command relpath readlines close write run_command startswith append open basename print dirname startswith append range S search M unlink print dumps render_pep440_old render_pep440_pre render_git_describe render_pep440_post render_pep440 render_git_describe_long get join versions_from_parentdir get_config_from_root get_keywords_f from_keywords_f tag_prefix print style versionfile_source render VCS get_root from_vcs_f versions_from_file parentdir_prefix join do_vcs_install get_config_from_root print versionfile_source set get_root dirname exists print set VersioneerConfig get_config git_pieces_from_vcs realpath verbose dirname split all_algorithms kneighbors fit copy_to_host _convert_to_numpy ndarray isinstance is_cuda_ndarray to_numpy DataFrame update join save_model has_xgboost _training_data_to_numpy train DMatrix update join pop dump RandomForestClassifier open _training_data_to_numpy fit load join open join load_model export_lib Booster has_xgboost from_xgboost int32 convert_dtype BenchmarkInfo ASVDb addResult iterrows getRepoInfo uname getCommitInfo BenchmarkResult append log_range dict int make_regression int make_blobs int make_classification load_higgs urlretrieve GzipFile join read_csv _download_and_cache Series DataFrame ndarray isinstance Series DataFrame isinstance isinstance Series DataFrame from_pandas isinstance int format TypeError size choice Series DataFrame ndarray isinstance int train_test_split tuple product print AccuracyComparisonRunner name from_records append run append loads product split isinstance has_cupy hasattr isinstance Series isspmatrix has_scipy is_cuda_ndarray DataFrame get_supported_input_type tuple dtype keys isinstance get_supported_input_type convert_dtype DataFrame str dtype hasattr getattr check_order asarray debug CumlArray __class__ from_interface compute deepcopy isinstance Series order to_numpy array input_to_cuml_array isinstance values input_to_cuml_array ndarray to_output isinstance compute dtype asarray ndarray is_cuda_array isinstance astype _typecast_will_lose_information asarray is_cuda_array isinstance iinfo finfo type values data asarray row tocoo col str should_log_for replace debug get_dtype_strs level_debug enumerate get append join copyto check_min_cupy_version _rmm_cupy6_array_like cupy_fn rmm_cupy_allocator shape ndarray nbytes itemsize isinstance mul itemsize reduce isinstance dtype itemsize hasattr _strides_to_order __array_interface__ __cuda_array_interface__ lower isinstance output_type set_global_output_type array to_cupy grid grid device_array MAX_THREADS_PER_BLOCK isinstance kernel _map_l1_norm_kernel copy kernel _map_l2_norm_kernel copy copy reset_index cumsum pad _insert_zeros sort_values values zeros len data isinstance csr_matrix reshape col indices has_scipy argsort flatten input_to_cuml_array print time asarray rmm_cupy_ary to_cupy asarray ndarray tocsr isinstance csr_matrix isspmatrix scipy_sparse_isspmatrix has_scipy _conv_df_to_sparse DataFrame rmm_cupy_ary sync df_to_dask_cudf _conv_array_to_sparse Array isinstance csr_matrix shape map_partitions scatter zeros DataFrame rmm_cupy_ary compute submit result str should_log_for debug level_debug compute to_delayed submit result compute who_has get_client tree_reduce wait local_reduction_func str debug wait delayed func append range len validate_dask_array isinstance ndarray isinstance submit str should_log_for debug result level_debug OrderedDict append DataFrame isinstance list from_delayed wait result append range len OrderedDict parse_host_port append OrderedDict append isinstance compute list reduce append submit compute persist isinstance futures_of device_of_gpu_matrix get_visible_devices str close warning get_current_device int split add set list keys check_min_dask_version wait raise_exception_from_futures sg_make_blobs _get_centers list get_client max int concatenate tuple debug _create_rs_generator _create_delayed randint keys RandomState submit int list get_client intp max permutation concatenate tuple _create_rs_generator astype rand _create_delayed int64 randint keys RandomState hasattr __name__ __module__ reshape standard_normal RandomState list permutation _create_delayed keys len zeros RandomState list permutation _create_delayed keys len permutation RandomState create permutation _create_delayed len create _create_delayed append int max exp arange qr _generate_singular_values standard_normal RandomState int _create_rs_generator standard_normal min rechunk qr _generate_singular_values max from_array _f_order_standard_normal permutation tuple _create_rs_generator _data_from_multivariate_normal max _convert_to_order _shuffle squeeze rechunk get_client concatenate make_low_rank_matrix compute int _make_low_rank_covariance min standard_normal dot toarray ones size logical_and make_monotonic create get_client bool sum sorted_unique_labels unique concatenate uniform Integral isinstance len Real where seed set_api_output_type add sum range normal choice zip full zeros enumerate isinstance reshape array len int astype randint randn where resize seed set_api_output_type sum range choice enumerate isinstance reshape dot zeros array isinstance csr_matrix issparse int range float32 astype op nanvar nansum sum _safe_accumulator_op abs argmax sign mean_test_score max heatmap subplots cv_results_ show list param_grid all set_xlabel legend append errorbar upper stack keys enumerate items suptitle text array len get getattr getattr getattr array hasattr getattr callable isinstance append asnumpy SimpleImputer set_api_output_type columns name determine_array_type get_supported_input_type reshape fit argmin cluster_centers_ labels_ abs array range values fit_transform isspmatrix_csr filter_alphanum lower filter_tokens replace count sum output_type determine_array_type isinstance determine_array_dtype InternalAPIContext root_cm issubclass CumlArray SparseCumlArray __args__ issubclass isinstance get_type_hints CumlArray _GenericAlias SparseCumlArray Base get _get_base_return_type CUML_WRAPPED_FLAG get signature FLAG_NAME toarray ones logical_and astype int64 input_to_cuml_array input_to_cupy_array len hstack astype expand_dims input_to_cupy_array max clip concatenate _binary_clf_curve input_to_cupy_array sum flip input_to_cupy_array int cumsum _addup_x_in_group astype argsort unique _group_same_scores zeros _binary_clf_curve ceil RawKernel addup_x_in_group_kernel cumsum shape empty permutation concat DataFrame _approximate_mode values dtype _strides_to_order hasattr tolist as_cuda_array bincount range asarray RandomState concatenate take unique item isinstance Series argsort array split int min where choice floor sum len int dtype RandomState arange isinstance hasattr _strides_to_order _stratify_split Series as_cuda_array shuffle is_cuda_ndarray DataFrame array drop data asarray row tocoo col CumlArrayDescriptor dtype asarray arange tocsr synchronize astype coo_matrix make_monotonic full CumlArrayDescriptor items list get_str_replacement_series logical_not get_stem_series cat len ends_with_double_constant replace_suffix slice logical_not ends_with_suffix get_condition_flag apply_rule ones Series is_vowel max range len porter_stemmer_measure porter_stemmer_measure porter_stemmer_measure len_gt_n is_consonant get Series get Series get len_gt_n len_eq_n Series logical_not is_vowel is_consonant Series scalar_broadcast_to get Series get_str_replacement_series isinstance get_stem_series get_index_replacement_series len grid int Series data_array_view ceil zeros float len dtype asarray _binarize_kernel copy binarizer int dtype itemsize map_labels unique array _map_kernel int dtype itemsize validate _validate_kernel array dtype itemsize inverse_map _inverse_map_kernel array len dtype issparse todense compute_cov dot _cov_kernel zeros sum algorithm_by_name benchmark gen_data _benchmark_algo _benchmark_algo _benchmark_algo set set get_gpu_memory set_allocator data fetch_20newsgroups target CountVectorizer array fit_transform fetch_california_housing array int str print getenv randint when setattr get_result format print failed getenv nodeid generator train_test_split astype pop decode int sort ceil append split seed int float64 size astype choice nan randint seed int csr_matrix size rand choice csc_matrix coo_matrix check_array array nanvar csr_mean_variance_axis0 skip nanmean assert_allclose nanvar skip nanmean csc_mean_variance_axis0 assert_allclose nanvar skip _csc_mean_variance_axis0 nanmean sum assert_allclose sk_normalize assert_allclose inplace_csr_row_normalize_l1 skip inplace_csr_row_normalize_l2 assert_allclose skip sk_normalize sk_get_mask cu_get_mask assert_allclose get median range get mean range get range get fit array AgglomerativeClustering int make_blobs AgglomerativeClustering asnumpy fit int32 astype float32 co_argcount __defaults__ hasattr len float64 astype make_classification _get_tags list hasattr items print _get_tags __mro__ items list __class__ getmro fail reversed normal hasattr xfail func_positional_arg astype __init__ classes_ int32 unique assert_array_almost_equal dataset_exog join fillna format from_pandas nan dataset train_test_split read_csv get_dataset nanmean abs array mean to_numpy range len ARIMA batch_size extract_order get_ref_fit get_dataset forecast predicted_mean n_test zeros mase max range fit batch_size complexity unpack zeros range ARIMA _statsmodels_to_cuml batch_size extract_order assert_allclose get_ref_fit get_forecast get_dataset to_numpy forecast predicted_mean zeros range predict summary_frame _predict_common n_train n_obs _predict_common n_train _predict_common n_train n_obs n_test _predict_common n_train n_obs n_test ARIMA _statsmodels_to_cuml extract_order get_ref_fit get_dataset llf array assert_allclose ARIMA pack batch_size extract_order approx_fprime complexity get_dataset _loglike_grad zeros _estimate_x0 range assert_allclose ARIMA pack fill_interpolation batch_size extract_order complexity get_dataset to_numpy range _estimate_x0 zeros assert_allclose to_output skip helper_test_ownership create_ary_init_tests asnumpy create_ary_init_tests helper_test_ownership float32 skip ptr create_input CumlArray ndarray isinstance deepcopy get_owner collect asarray dtype bytes CumlArray data_type zeros create_input CumlArray skip isinstance create_input CumlArray skip empty zeros astype ones astype full astype create_input to_output reshape CumlArray DataFrame create_input to_output isinstance CumlArray DataFrame copy_to_host create_input isinstance CumlArray sqrt serialize create_input CumlArray float32 deserialize create_input CumlArray float32 skip dumps loads append CumlArray deepcopy create_input float32 operation arange CumlArray random collect array CumlArray ones SparseCumlArray random random SparseCumlArray random SparseCumlArray int64 random astype todense random assert_array_equal SparseCumlArray fail zeros range len assert_array_equal int list permutation to_output transpose input_to_cuml_array _divide_by_mask array range assert_allclose assert_array_equal list to_output _divide_by_min assert_allclose transpose argmin input_to_cuml_array array range append permutation array_split to_output _build_division_map_ref _build_division_map assert_array_equal permutation array_split to_output _build_division_map_ref transpose _merge_series assert_allclose input_to_cuml_array zeros range append len get_param_names sync Base sync Base Handle Stream Base small_classification_dataset Base _set_n_features_in items list issubclass skip get_param_doc NumpyDocString __doc__ signature Base signature apply_defaults bind array zeros rosenbrock range zeros g_rosenbrock range seed normal batched_fmin_lbfgs_b zeros array range assert_allclose gen_data gen_data gen_data algorithm_by_name run_variations t AlgorithmPair SpeedupComparisonRunner AccuracyComparisonRunner AlgorithmPair run AccuracyComparisonRunner AlgorithmPair xfail algorithm_by_name print AccuracyComparisonRunner xfail algorithm_by_name AccuracyComparisonRunner _training_data_to_numpy gen_data get_models ClassEnumerator pop get_models ClassEnumerator get_models isinstance cuColumnTransformer skColumnTransformer transform fit_transform assert_allclose xfail size cuColumnTransformer skColumnTransformer transform fit_transform nnz assert_allclose sk_make_column_transformer isinstance cu_make_column_transformer transform fit_transform assert_allclose sk_make_column_transformer xfail size cu_make_column_transformer transform fit_transform nnz assert_allclose skColumnTransformer cuColumnTransformer fit_transform get_feature_names skColumnTransformer named_transformers_ cuColumnTransformer fit_transform from_pandas assert_allclose cuColumnTransformer pdDataFrame skColumnTransformer fit_transform astype cuLasso make_regression Lasso r2_score train_test_split predict fit astype cuLasso make_regression Lasso r2_score train_test_split predict fit cuElasticNet astype make_regression ElasticNet r2_score train_test_split predict fit cuElasticNet astype make_regression ElasticNet r2_score train_test_split predict fit cuElasticNet astype make_regression train_test_split predict fit astype cuLasso make_regression train_test_split predict fit set_params coef_ algo linspace fit zip get_handle make_blobs skDBSCAN skip cuDBSCAN core_sample_indices_ adapt_stress_test assert_dbscan_equal max_gpu_memory fit_predict make_blobs astype skDBSCAN cuDBSCAN core_sample_indices_ assert_dbscan_equal fit_predict update skDBSCAN copy skip cuDBSCAN core_sample_indices_ adapt_stress_test assert_dbscan_equal get_pattern max_gpu_memory fit_transform fit_predict update skDBSCAN copy cuDBSCAN core_sample_indices_ assert_dbscan_equal get_pattern fit_transform fit_predict cuDBSCAN fit_predict make_blobs skDBSCAN cuDBSCAN core_sample_indices_ assert_dbscan_equal array fit_predict skDBSCAN cuDBSCAN core_sample_indices_ assert_dbscan_equal array fit_predict skDBSCAN cuDBSCAN core_sample_indices_ assert_dbscan_equal array fit_predict get_handle make_blobs astype skDBSCAN cuDBSCAN core_sample_indices_ assert_dbscan_equal fit_predict cuDBSCAN fit_transform fit_predict get_pattern fit array assert_raises cuDBSCAN make_classification make_regression update train DMatrix save_model argmax join load asarray RandomState assert_allclose simulate_data shape stack predict_proba around accuracy_score train_test_split DMatrix predict _build_and_save_xgboost load join asarray RandomState reshape simulate_data shape mean_squared_error train_test_split DMatrix predict _build_and_save_xgboost model_class RandomState load_from_sklearn asarray reshape assert_allclose simulate_data shape predict_proba around accuracy_score train_test_split predict fit model_class RandomState load_from_sklearn asarray reshape simulate_data shape mean_squared_error train_test_split predict fit str join simulate_data DMatrix predict _build_and_save_xgboost load asarray reshape shape around predict load asarray reshape shape around predict load asarray reshape shape around predict load asarray assert_allclose reshape shape stack predict_proba around predict load load asarray predict load asarray reshape shape predict concatenate Series default_rng min astype copy choice hash Categorical DataFrame range load str join save_model simulate_data to_categorical astype predict LGBMClassifier predict_proba train Dataset assert_allclose fit get sort labels_ unique assert_almost_equal extend where get_children range sort get_bfs_level condense_hierarchy _linkage make_blobs assert_condensed_trees HDBSCAN assert_cluster_counts asnumpy fit data assert_condensed_trees HDBSCAN assert_cluster_counts asnumpy fit data condensed_tree_ HDBSCAN _extract_clusters asnumpy fit assert_condensed_trees HDBSCAN assert_cluster_counts asnumpy fit condensed_tree_ HDBSCAN _extract_clusters asnumpy fit make_moons fit_predict asarray CondensedTree recarray HDBSCAN _extract_clusters HDBSCAN fit make_blobs cuml_ES asarray xfail sm_ES forecast r2_score to_numpy fit cuml_ES asarray xfail sm_ES forecast r2_score to_numpy fit cuml_ES asarray forecast fit cuml_ES asarray score get_level forecast get_season get_trend fit cuml_ES asarray forecast fit cuml_ES asarray forecast fit cuml_ES asarray score get_level forecast get_season get_trend fit cuml_ES array fit cuml_ES arange fit cuml_ES arange sin to_numpy fit get make_blobs random skip skIPCA cuIPCA transform inverse_transform asnumpy fit int asnumpy make_blobs partial_fit copy skIPCA cuIPCA transform inverse_transform range toarray eye cuIPCA dot reshape _svd_flip svd get_input to_output skip assert_equal input_to_cuml_array input_to_cuml_array get_input skip input_to_cuml_array get_input to_output assert_equal input_to_cuml_array get_input to_output assert_equal input_to_host_array get_input skip assert_equal xfail get_input skip input_to_cuml_array copy_to_host get_input xfail skip assert_equal convert_dtype to_numpy check_ptr input_to_cuml_array get_input to_output assert_equal arange get_input to_output float32 assert_equal input_to_cuml_array to_numpy items list values zip Series pdSeries as_cuda_array rand reshape CumlArray pdDF DataFrame array asnumpy Series input_to_cupy_array DataFrame check fit UMAP CustomCallback make_blobs randint KMeans cluster_centers_ get_data_consistency_test fit int make_blobs score KMeans asnumpy fit seed make_blobs score KMeans randint asnumpy fit int KMeans fit_predict make_blobs update KMeans adjusted_rand_score copy get_pattern fit_transform fit_predict update KMeans adjusted_rand_score copy get_pattern fit_transform fit_predict seed KMeans rand fit_predict int make_blobs score KMeans assert_allclose cluster_centers_ square sum array enumerate predict fit seed make_blobs score KMeans randint fit_transform asnumpy reshape DataFrame choice make_blobs fit astype float32 cuKNN predict _build_train_test_data astype float32 cuKNN _build_train_test_data make_blobs reshape fit astype float32 cuKNN predict_proba to_numpy argmax _build_train_test_data make_blobs fit astype float32 cuKNN predict_proba to_numpy _build_train_test_data make_blobs fit astype float32 cuKNN to_numpy ravel predict _build_train_test_data seed from_pandas skKNN ravel cuKNN uniform randint DataFrame predict fit arange make_blobs reshape fit astype float32 cuKNN range predict _build_train_test_data asarray astype float32 cuKNN int32 DataFrame predict fit asarray astype float32 cuKNN predict_proba int32 DataFrame fit RandomState rand cuKNN sqrt sum predict fit check_random_state rand astype cuKNN int32 assert_array_almost_equal train_test_split array predict fit reshape DataFrame make_blobs astype cuKNN predict fit get skLB data LabelBinarizer asarray tocsr skip has_scipy array_equal transform inverse_transform fit reshape Series _df_to_similarity_mat fit_transform choice _df_to_similarity_mat Series choice transform fit Series fit choice Series LabelEncoder choice inverse_transform fit fit_transform LabelEncoder Series LabelEncoder choice fit fit_transform LabelEncoder DataFrame fit_transform mean sqrt var T cuLars score print make_regression_dataset dot sqrt normalize_data skLars fit cuLars concatenate make_regression_dataset min skip adapt_stress_test max_gpu_memory fit hasattr cuLars n_iter_ min astype intercept_ load_boston skLars abs fit asarray cuLars copy load_boston fit make_regression _make_regression_dataset_uncached _make_regression_dataset_from_cache train_test_split astype int32 make_classification make_regression_dataset cuLinearRegression skip skLinearRegression predict fit cuLinearRegression small_regression_dataset cuLinearRegression skLinearRegression predict fit small_regression_dataset skRidge cuRidge predict fit skRidge make_regression_dataset cuRidge skip predict fit cuLog skLog astype skip make_classification_dataset predict fit load_breast_cancer cuLog astype train_test_split fit cuLog skLog astype small_classification_dataset fit load_digits cuLog score reshape astype shape train_test_split fit cuLog csr_matrix score astype train_test_split fit T arange cuLog skLog astype intercept_ make_classification_dataset decision_function fit T arange cuLog skLog astype intercept_ make_classification_dataset predict_proba predict_log_proba fit type astype fit cuLinearRegression astype make_regression train_test_split predict fit astype cuRidge make_regression train_test_split predict fit cuLog make_classification astype train_test_split predict fit param rand astype int32 startswith argmax T coef_ cuLog print skLog squeeze rand array_equal startswith abs predict fit set_params coef_ algo linspace fit get Process get_context start Queue int min make_regression ceil max int min ceil max get LinearSVR with_timeout collect score make_regression_dataset min perf_counter good_enough max fit run_regression run_regression float32 get sync with_timeout collect score debug min LinearSVC perf_counter skip Handle make_classification_dataset good_enough max fit run_classification run_classification make_blobs make_classification make partial view sign mean unique range asnumpy len make_regression train_test_split param astype make_classification cumlMBSGClassifier SGDClassifier accuracy_score asnumpy predict fit cumlMBSGClassifier accuracy_score asnumpy predict fit cumlMBSGClassifier accuracy_score asnumpy predict fit cumlMBSGClassifier set_params coef_ astype int32 linspace fit skip make_regression adapt_stress_test max_gpu_memory cumlMBSGRegressor SGDRegressor r2_score ravel asnumpy predict fit cumlMBSGRegressor r2_score predict fit cumlMBSGRegressor r2_score asnumpy predict fit cumlMBSGRegressor set_params coef_ linspace fit make_classification score train_test_split Pipeline fit data GridSearchCV load_iris SVC target fit make_regression make_classification score make_pipeline model_const StandardScaler Pipeline predict fit score skip make_pipeline model_const StandardScaler Pipeline predict fit make_blobs get_handle to_device r2_score assert_almost_equal array data cumlRidge GridSearchCV train target dict load_diabetes train_test_split DataFrame array fit get_handle make_classification astype sk_acc_score cu_acc_score curfc int32 predict fit update cu_ars KMeans copy sk_ars get_pattern fit_transform asnumpy fit_predict sk_silhouette_score cu_silhouette_score assert_almost_equal sk_silhouette_samples cu_silhouette_samples around all sk_silhouette_samples cu_silhouette_samples array assert_almost_equal score_homogeneity assert_almost_equal score_homogeneity assert_almost_equal score_homogeneity sk_homogeneity_score assert_almost_equal generate_random_labels score_homogeneity score_completeness assert_almost_equal generate_random_labels score_homogeneity assert_almost_equal sk_mutual_info_score score_mutual_info assert_almost_equal generate_random_labels score_mutual_info sk_mutual_info_score assert_almost_equal generate_random_labels score_mutual_info sk_mutual_info_score assert_almost_equal generate_random_labels score_mutual_info sk_mutual_info_score score_completeness assert_almost_equal score_completeness assert_almost_equal score_completeness assert_almost_equal score_completeness assert_almost_equal generate_random_labels sk_completeness_score arange mean_squared_log_error mean_absolute_error mean_squared_error assert_almost_equal log sklearn_reg xfail generate_random_labels cuml_reg assert_array_almost_equal assert_almost_equal cuml_reg array mean_squared_log_error mean_absolute_error mean_squared_error assert_almost_equal array mean_squared_log_error mean_absolute_error assert_array_almost_equal mean_squared_error assert_almost_equal array log assert_almost_equal cuml_reg array sklearn_reg mean_squared_log_error mean_squared_error assert_almost_equal array log entropy assert_almost_equal get_handle array get_handle entropy generate_random_labels skip has_scipy bincount assert_almost_equal array sp_entropy assert_array_equal array confusion_matrix assert_array_equal ravel array sk_confusion_matrix generate_random_labels confusion_matrix assert_array_almost_equal list confusion_matrix chain array assert_allclose generate_random_labels confusion_matrix sk_confusion_matrix assert_array_almost_equal array generate_random_labels rand confusion_matrix sk_confusion_matrix assert_array_almost_equal randint assert_almost_equal array sklearn_roc_auc_score roc_auc_score assert_almost_equal generate_random_labels sklearn_roc_auc_score roc_auc_score array sklearn_precision_recall_curve precision_recall_curve array array sklearn_precision_recall_curve generate_random_labels precision_recall_curve assert_almost_equal array sklearn_log_loss log_loss assert_almost_equal generate_random_labels sklearn_log_loss log_loss array normalize RandomState asfarray random_sample ref_dense_pairwise_dist pairwise_distances prep_dense_array assert_array_almost_equal randint RandomState asfarray random_sample ref_dense_pairwise_dist pairwise_distances prep_dense_array assert_array_almost_equal RandomState random_sample ref_dense_pairwise_dist pairwise_distances prep_dense_array asfortranarray assert_array_almost_equal RandomState random_sample RandomState asfarray random_sample pairwise_distances choice randint DataFrame asarray RandomState random_sample csr_row_normalize_l1 tocsr get todense ref_sparse_pairwise_dist float64 astype prepare_sparse_data pairwise_distances float32 int32 assert_array_almost_equal sparse_pairwise_distances random int32 skip sparse_pairwise_distances ref_sparse_pairwise_dist float64 astype prepare_sparse_data float32 assert_array_almost_equal sparse_pairwise_distances random skip cuml_hinge T asarray sk_hinge make_classification Series cu_log decision_function int32 assert_array_almost_equal to_numpy train_test_split DataFrame asnumpy values fit asarray RandomState random_sample cu_kl_divergence skip assert_array_almost_equal DataFrame sp_entropy squeeze array param set_global_output_type DBSCAN labels_ get_small_dataset fit DBSCAN labels_ get_small_dataset set_global_output_type fit DBSCAN labels_ get_small_dataset set_global_output_type fit asarray MulticlassClassifier score OneVsRestClassifier OneVsOneClassifier synchronize astype MultinomialNB asnumpy predict fit fit astype float32 MultinomialNB get assert_allclose astype ascontiguousarray skNB MultinomialNB predict fit asnumpy tocsr astype partial_fit unique ceil MultinomialNB range predict get tocsr astype skNB predict_proba MultinomialNB assert_allclose fit get tocsr astype skNB predict_log_proba MultinomialNB assert_allclose fit get tocsr score astype skNB MultinomialNB fit get assert_array_equal todense score skBNB astype BernoulliNB class_count_ predict_log_proba class_log_prior_ assert_allclose fit get skBNB assert_allclose astype partial_fit BernoulliNB unique ceil range predict get assert_array_equal GaussianNB theta_ sigma_ assert_allclose predict_proba assert_array_almost_equal predict_log_proba array skGNB predict fit int todense GaussianNB astype ascontiguousarray sparse_scipy_to_cp asnumpy predict fit asnumpy assert_raises GaussianNB partial_fit unique ceil range predict get asnumpy todense GaussianNB assert_allclose float32 epsilon_ int32 linspace assert_array_equal array skGNB predict fit get assert_array_equal todense predict_log_proba score astype CategoricalNB skip class_count_ skCNB class_log_prior_ sparse_scipy_to_cp assert_allclose fit score astype partial_fit CategoricalNB skip unique ceil range get assert_array_equal todense predict_log_proba assert_allclose float32 CategoricalNB int32 linspace skCNB array predict fit get ndarray isinstance astype int32 mode remove update set valid_metrics get arange make_blobs skip cuKNN shape assert_array_equal to_numpy kneighbors DataFrame zeros assert_allclose fit collect skip to_numpy kneighbors DataFrame collect make_blobs cuKNN kneighbors predict fit collect make_blobs cuKNN kneighbors predict fit kneighbors collect make_blobs cuKNN set_level level_debug predict fit get collect make_blobs cuKNN skKNN kneighbors fit fit kneighbors cuKNN make_blobs get make_blobs skKNN cuKNN to_numpy kneighbors DataFrame assert_allclose fit get make_blobs skKNN cuKNN kneighbors DataFrame X_m assert_allclose fit fit kneighbors cuKNN make_blobs skmb from_pandas cuKNN DataFrame array fit get make_blobs skKNN DataFrame kneighbors_graph fit int make_blobs sort cuKNN cuPW kneighbors fit get kneighbors todense random astype cuKNN skKNN set_level level_debug abs assert_allclose fit pairwise_distances pi cuKNN argsort kneighbors array range assert_allclose kneighbors array cuKNN set_params cuKNN DataFrame isinstance columns DataFrame isinstance RandomState from_pandas from_df_to_numpy DataFrame array ndarray isinstance assert_frame_equal to_pandas assert_array_equal toarray OneHotEncoder from_df_to_numpy _from_df_to_cupy SkOneHotEncoder assert_array_equal DataFrame fit_transform asnumpy OneHotEncoder _from_df_to_cupy inverse_transform DataFrame fit_transform assert_inverse_equal _convert_drop transpose OneHotEncoder _from_df_to_cupy assert_array_equal DataFrame array fit_transform DataFrame OneHotEncoder _from_df_to_cupy fit assert_array_equal OneHotEncoder _from_df_to_cupy transform DataFrame array fit OneHotEncoder _from_df_to_cupy inverse_transform DataFrame array assert_inverse_equal fit toarray OneHotEncoder generate_inputs_from_categories SkOneHotEncoder assert_array_equal inverse_transform fit_transform assert_inverse_equal OneHotEncoder _from_df_to_cupy SkOneHotEncoder assert_array_equal inverse_transform DataFrame fit_transform asnumpy assert_inverse_equal dtype print OneHotEncoder dict from_df_to_numpy _from_df_to_cupy assert_array_equal inverse_transform DataFrame fit_transform asnumpy assert_inverse_equal _convert_drop DataFrame _from_df_to_cupy categories_ len _from_df_to_cupy assert_array_equal to_numpy DataFrame array range fit toarray OneHotEncoder from_df_to_numpy _from_df_to_cupy SkOneHotEncoder assert_array_equal DataFrame fit_transform asnumpy _convert_drop transpose DataFrame _from_df_to_cupy DataFrame fit_transform linspace OneHotEncoder int OneHotEncoder linspace ceil float DataFrame range sync get_handle load_digits make_blobs print make_multilabel_classification skip getattr cuPCA skPCA fit get sync transform xfail make_multilabel_classification random cuPCA skPCA fit data int sync get_handle cuPCA make_blobs make_multilabel_classification load_iris skip adapt_stress_test transform max_gpu_memory skPCA fit data int sync get_handle make_blobs make_multilabel_classification load_iris skip adapt_stress_test cuPCA max_gpu_memory fit_transform skPCA sync RandomState get_handle make_blobs randn skip cuPCA inverse_transform fit_transform get int transform random skip adapt_stress_test cuPCA inverse_transform max_gpu_memory fit join func_assert func_create_model xfail pickle_save_load adapt_stress_test max_gpu_memory skip pickle_save_load pickle_save_load pickle_save_load pickle_save_load pickle_save_load xfail loads dumps xfail clone pickle_save_load adapt_stress_test max_gpu_memory skip pickle_save_load adapt_stress_test max_gpu_memory skip pickle_save_load pickle_save_load adapt_stress_test max_gpu_memory skip pickle_save_load pickle_save_load pickle_save_load pickle_save_load pickle_save_load pickle_save_load pickle_save_load cuMinMaxScaler skMinMaxScaler inverse_transform fit_transform assert_allclose sk_minmax_scale cu_minmax_scale assert_allclose skStandardScaler cuStandardScaler inverse_transform fit_transform assert_allclose skStandardScaler issparse cuStandardScaler inverse_transform fit_transform assert_allclose sk_scale cu_scale assert_allclose issparse cu_scale assert_allclose sk_scale sk_maxabs_scale cu_maxabs_scale assert_allclose cuMaxAbsScaler skMaxAbsScaler inverse_transform fit_transform assert_allclose issparse cuMaxAbsScaler skMaxAbsScaler inverse_transform fit_transform assert_allclose assert_allclose fit_transform skNormalizer cuNormalizer issparse skip cuNormalizer fit_transform skNormalizer assert_allclose sk_normalize cu_normalize assert_allclose sk_normalize issparse cu_normalize assert_allclose seed cuSimpleImputer skSimpleImputer fit_transform assert_allclose issparse assert_allclose skSimpleImputer skip fit_transform cuSimpleImputer get_feature_names ndarray isinstance skPolynomialFeatures cuPolynomialFeatures fit_transform assert_allclose issparse skPolynomialFeatures cuPolynomialFeatures fit_transform assert_allclose sk_add_dummy_feature cu_add_dummy_feature assert_allclose sk_add_dummy_feature issparse cu_add_dummy_feature assert_allclose cu_binarize sk_binarize assert_allclose cu_binarize issparse sk_binarize assert_allclose assert_allclose cuBinarizer fit_transform skBinarizer issparse cuBinarizer skBinarizer fit_transform assert_allclose skRobustScaler inverse_transform fit_transform assert_allclose cuRobustScaler issparse skRobustScaler assert_allclose inverse_transform fit_transform tocsc cuRobustScaler cu_robust_scale assert_allclose sk_robust_scale issparse tocsr cu_robust_scale assert_allclose sk_robust_scale tocsc cuKBinsDiscretizer skKBinsDiscretizer inverse_transform fit_transform assert_allclose cuMissingIndicator transform skMissingIndicator fit_transform assert_allclose fit cuMissingIndicator transform skMissingIndicator fit_transform assert_allclose fit assert_allclose cuFunctionTransformer inverse_transform fit_transform skFunctionTransformer assert_allclose cuFunctionTransformer inverse_transform fit_transform skFunctionTransformer asarray synchronize invert_labels copy check_labels make_monotonic array coef_ make_classification print astype skip cuQN accuracy_score assert_array_almost_equal train_test_split array objective predict fit make_classification make_classification make_classification make_regression fetch_california_housing make_regression seed mean_tweedie_deviance astype float32 predict get_handle reshape astype shape curfc int32 accuracy_score skrfc train_test_split predict fit get_handle curfr reshape astype shape skrfr r2_score train_test_split predict fit reshape astype shape curfc int32 accuracy_score randint train_test_split range predict fit reshape astype shape curfc int32 accuracy_score skrfc train_test_split predict fit curfr reshape astype shape skrfr r2_score train_test_split predict fit zeros mean_squared_error enumerate shape argmax get_handle Series skrfc astype check_predict_proba curfc predict_proba int32 accuracy_score assert_array_equal to_numpy train_test_split DataFrame predict fit rf_classification rf_classification convert_to_treelite_model get_handle score reshape astype shape curfc convert_to_fil_model int32 accuracy_score assert_almost_equal skrfc train_test_split predict fit convert_to_treelite_model get_handle curfr reshape astype shape skrfr convert_to_fil_model r2_score train_test_split predict fit sync test_for_memory_leak get_handle astype float32 curfc int32 train_test_split range fit get_params curfc set_params astype float32 curfc int32 get_params fit curfr astype float32 make_regression int32 get_params fit get_handle make_classification get_summary_text astype float32 curfc int32 startswith split get_detailed_text fit make_classification print curfr len astype float32 predict_with_json_rf_regressor curfc loads int32 predict_with_json_rf_classifier get_json append assert_almost_equal array range enumerate fit Process set_params collect curfr astype float32 getpid curfc int32 range rss fit Process collect _concatenate_treelite_handle debug astype float32 getpid int32 info range rss fit astype float32 curfc int32 train_test_split curfr loads get_json array fit join curfr load_boston assert_almost_equal deserialize to_treelite_checkpoint predict fit join load_breast_cancer curfc assert_almost_equal deserialize to_treelite_checkpoint predict fit join load_iris curfc predict_proba assert_almost_equal deserialize to_treelite_checkpoint predict fit SparseRandomProjection make_blobs astype GaussianRandomProjection fit SparseRandomProjection make_blobs astype skip has_scipy GaussianRandomProjection pdist transform fit list rand cuml_johnson_lindenstrauss_min_dim sklearn_johnson_lindenstrauss_min_dim zip randint SparseRandomProjection make_blobs astype skip has_scipy GaussianRandomProjection pdist transform fit ser random array MultinomialNB fit loads random dumps make_blobs Series astype cumlSGD to_numpy train_test_split DataFrame predict fit make_blobs Series astype cumlSGD to_numpy train_test_split DataFrame predict fit cumlMBSGRegressor fit make_blobs fit make_blobs cumlMBSGClassifier fit make_blobs cumlElastic fit make_blobs fit cumlLasso make_blobs norm todense csr_matrix astype ref_norm assert_array_almost_equal shape range zeros zeros range seed normal prepare_data choice uniform linspace assert_array_equal zeros range todense cov random all print ravel argsort nonzero abs T norm coef_ score print tol dot sqrt decision_function seed int make_blobs make_gaussian_quantiles range data dtype load_iris astype target StandardScaler fit_transform compare_svm get_binary_iris_dataset SVC fit make_dataset make_dataset astype SVC make_dataset decision_function int32 predict fit make_blobs SVC train_test_split sum predict fit brier_score_loss predict_proba to_output make_classification SVC compare_probabilistic_svm train_test_split array fit make_blobs ones score SVC compare_svm fit pop make_blobs score Series astype float32 SVC to_device fit astype SVC get_binary_iris_dataset sum predict fit getattr sync format get_memsize print SVC Handle Stream make_dataset range predict fit sync format make_blobs print astype Handle float32 Stream SVC range seed astype float32 make_friedman1 train_test_split StandardScaler fit_transform score mean_squared_error predict compare_svr make_regression_dataset SVR fit compare_svr fit pi make_regression SVR linspace sin len make_classification astype SVC SVR train_test_split predict fit ones SVR uniform predict fit DataFrame category array transform label TargetEncoder fit_transform fit DataFrame category array transform label TargetEncoder fit_transform fit arange DataFrame astype sort_values merge agg transform TargetEncoder fit_transform values len DataFrame array transform label TargetEncoder fit_transform fit DataFrame category array transform label TargetEncoder fit_transform fit DataFrame category array transform label TargetEncoder fit_transform DataFrame print category type array transform label TargetEncoder fit_transform print type transform TargetEncoder array fit_transform print type transform TargetEncoder array fit_transform DataFrame category zip transform label TargetEncoder array fit_transform fit todense toarray Series assert_array_equal fit_transform fit list todense toarray Series assert_array_equal keys fit_transform assert_array_equal todense fit_transform toarray CountVectorizer Series CountVectorizer fit CountVectorizer fit Series sum CountVectorizer get_feature_names Series CountVectorizer fit Series CountVectorizer fit todense Series CountVectorizer assert_array_equal to_pylist fit_transform asnumpy sort CountVectorizer zip assert_array_equal inverse_transform to_pylist fit_transform SkCountVect Series fit todense toarray Series assert_array_equal fit_transform transform todense assert_array_equal toarray todense toarray Series CountVectorizer assert_array_equal fit_transform todense toarray Series CountVectorizer assert_array_equal fit_transform todense toarray Series assert_array_equal fit_transform Series CountVectorizer fit list transform Series append range fit TfidfVectorizer TfidfVectorizer assert_array_almost_equal todense fit toarray todense fit_transform assert_array_almost_equal TfidfVectorizer fit_transform Series sort assert_almost_equal abs range get assert_almost_equal_hash_matrices toarray Series fit_transform get assert_almost_equal_hash_matrices todense toarray Series assert_array_equal fit_transform get assert_almost_equal_hash_matrices toarray Series fit_transform get assert_almost_equal_hash_matrices fit_transform toarray get toarray get assert_almost_equal_hash_matrices fit_transform toarray flatten fit_transform fit_transform get assert_almost_equal_hash_matrices toarray Series fit_transform todense SkTfidfTransfo TfidfTransformer assert_array_almost_equal array todense xfail csr_matrix TfidfTransformer assert_array_almost_equal array fit_transform todense csr_matrix rand assert_array_almost_equal csc_matrix seed rand ones check_X_y cu_row_norms sk_row_norms assert_allclose seed get rand cu_incremental_mean_and_var sk_incremental_mean_and_var assert_allclose seed get cu_inplace_csr_column_scale rand sk_inplace_csr_column_scale skip assert_allclose seed get cu_inplace_csr_row_scale rand skip sk_inplace_csr_row_scale assert_allclose seed get rand sk_inplace_column_scale cu_inplace_column_scale assert_allclose assert_allclose cu_mean_variance_axis sk_mean_variance_axis sk_min_max_axis cu_min_max_axis nan assert_allclose csr_matrix array csc_matrix sk_min_max_axis cu_min_max_axis assert_allclose Series train_test_split DataFrame sort_values Series train_test_split DataFrame values train_test_split DataFrame sort_values Series DataFrame Series DataFrame int RandomState Series randint train_test_split DataFrame range asarray concatenate reshape sort to_device zeros train_test_split zeros train_test_split asarray reshape train_test_split DataFrame asarray concatenate reshape sort to_device zeros train_test_split asarray make_classification to_device counts train_test_split int RandomState Series randint train_test_split DataFrame range Series train_test_split DataFrame assert_array_equal train_test_split array unique Series train_test_split DataFrame sklearn_trustworthiness make_blobs DataFrame astype float32 cuml_trustworthiness round fit_transform make_blobs isnan sum print trustworthiness data TSNE csr_matrix ones astype shape trustworthiness fit_transform fit data TSNE tocoo csr_matrix astype validate_embedding normalize fit_transform tocsc fit data validate_embedding fit_transform TSNE TSNE astype float32 isnan sum fit_transform data get TSNE sparse astype trustworthiness fit_transform data get TSNE sparse tocoo csr_matrix astype validate_embedding fit_transform tocsc fit sync check_random_state RandomState get_handle randn make_blobs reshape skTSVD cuTSVD skip array fit sync check_random_state RandomState get_handle randn make_blobs reshape skTSVD cuTSVD skip array fit_transform sync check_random_state RandomState randn make_blobs reshape cuTSVD skip inverse_transform array fit_transform adjusted_rand_score fit_transform fit_predict make_blobs cuUMAP UMAP make_blobs adjusted_rand_score fit_transform fit_predict data load_iris target trustworthiness fit_transform data load_iris copy trustworthiness fit_transform data load_iris trustworthiness fit_transform cuUMAP load_iris choice transform trustworthiness fit get cuUMAP sparse load_digits csr_matrix choice transform trustworthiness fit_transform fit cuUMAP load_digits choice transform trustworthiness fit data load_wine cuUMAP UMAP load_digits make_blobs load_iris target trustworthiness fit_transform cuUMAP load_digits make_blobs astype fit_transform cuUMAP UMAP make_blobs adjusted_rand_score fit_transform fit_predict transform cuUMAP fit_transform make_blobs make_blobs copy mean abs get_embedding make_blobs copy choice mean abs get_embedding data cuUMAP load_iris trustworthiness fit_transform data cuUMAP load_iris choice transform trustworthiness fit compare_exp_decay_params test_equality NearestNeighbors tocsr make_blobs tocoo astype float32 test_trustworthiness transform_embed fit_transform_embed kneighbors_graph tocsc fit to_nparray seed make_blobs make_moons make_circles dot to_nparray deepcopy range where Series DataFrame ndarray isinstance normalize_clusters shape range set Handle Stream train_test_split astype make_regression train_test_split astype int32 make_classification replace __file__ import_module dirname sep walk random_generation_lambda RandomState array get_handle co_argcount __defaults__ hasattr len explainer shap_values CumlArrayDescriptor array CumlArray input_to_cuml_array create_output get_input input_any_ assert_array_identical store_input DummyTestEstimator create_output create_input skip input_any_ assert_array_identical store_input DummyTestEstimator fit create_input DummyTestEstimator create_input float32 assert_array_identical predict DummyTestEstimator create_input xfail float64 float16 int32 test_func error debug warn trace info critical StringIO BytesIO TextIOWrapper issparse todense rename to_output make_classification make_blobs seed float64 astype asnumpy to_output_type int gpu_csr_matrix size gpu_coo_matrix cpu_coo_matrix choice cpu_csc_matrix startswith cpu_csr_matrix asnumpy gpu_csc_matrix create_rand_clf create_rand_blobs seed int param size create_rand_integers convert choice nan create_rand_clf create_rand_clf create_rand_blobs create_rand_integers int param size create_rand_integers sparsify_and_convert choice tocsc size sum to_output_type LocalCUDACluster close close Client LocalCUDACluster initialize close close Client compute get print assert_allclose make_dataset get_combined_model LinearRegression predict fit submit LinearRegression compute get assert_equal make_dataset get_combined_model LinearRegression predict fit compute get make_dataset ParallelPostFit LinearRegression assert_allclose fit make_blobs KMeans load_text_corpus MultinomialNB fit get sync todense random compute_chunk_sizes to_sparse_dask_array from_cudf DataFrame from_array rechunk standard_normal validate_dask_array from_array compute create_table make_classification sql Context to_numpy accuracy_score from_cudf train_test_split DataFrame set_global_output_type fit submit wait compute int create make_blobs result compute create all result dot abs std compute sync result compute delayed tree_reduce compute tree_reduce compute reduce list create to_dask_cudf make_blobs compute create make_blobs range to_dask_cudf len list create standard_normal persist from_array to_dask_cudf compute list str cumlKMeans make_blobs values print squeeze len adjusted_rand_score array keys predict fit compute int cumlKMeans abs cluster_centers_ uniform sum array range from_array compute cumlKMeans make_blobs values reshape squeeze argmin astype array to_dask_cudf fit compute cumlKMeans get_combined_model to_dask_cudf int tuple normal make_multilabel_classification shuffle shape append array range all range len to_dask_cudf compute exact_match generate_dask_array score lKNNClf dKNNClf mean round predict fit list generate_dask_array check_probabilities lKNNClf dKNNClf to_dask_cudf from_pandas make_classification Series predict dKNNClf DataFrame from_array fit dKNNReg lKNNReg r2_score float make_regression dKNNReg compute rechunk compute_chunk_sizes map_blocks from_array LabelBinarizer reshape asnumpy _arr_to_similarity_mat from_cudf to_numpy asnumpy _arr_to_similarity_mat from_cudf to_numpy from_cudf from_cudf compute reset_index len has_what from_cudf from_cudf compute len has_what from_cudf assign has_what from_cudf len list from_pandas Series persist_across_workers array from_cudf DataFrame keys values len cumlOLS_dask int values make_regression_dataset fit mean_squared_error _prep_training_data predict run from_array from_array from_array array from_array compute load_text_corpus MultinomialNB predict fit get SGNB load_text_corpus MultinomialNB predict fit load_text_corpus MultinomialNB astype array int32 MultinomialNB fit int64 has_scipy list keys len _scale_rows kneighbors make_blobs wait len astype float32 to_numpy daskNN _prep_training_data array predict fit _scale_rows kneighbors make_blobs astype float32 to_numpy daskNN _prep_training_data predict fit _scale_rows compute kneighbors make_blobs astype float32 daskNN _prep_training_data fit _scale_rows kneighbors make_blobs astype float32 daskNN _prep_training_data fit daskNN fit kneighbors make_blobs compute from_cudf assert_frame_equal to_pandas from_cudf compute from_cudf from_cudf compute from_cudf assert_frame_equal to_pandas from_cudf from_array compute from_cudf from_array compute assert_frame_equal to_pandas from_cudf compute assert_frame_equal to_pandas SkOneHotEncoder from_cudf from_cudf from_cudf compute to_dask_cudf PCA daskPCA to_numpy asnumpy values compute daskPCA fit_transform make_blobs compute daskPCA fit_transform make_blobs compute daskPCA fit_transform make_blobs compute make_classification cuRFC_mg fit astype float32 Client int32 accuracy_score train_test_split _prep_training_data from_array len compute list cuRFR_mg from_pandas xfail Series fit astype make_regression array r2_score from_cudf train_test_split DataFrame keys asnumpy predict len compute make_classification cuRFC_mg fit astype float32 int32 accuracy_score train_test_split _prep_training_data from_array len list cuRFR_mg from_pandas Series fit astype float32 make_regression persist_across_workers r2_score from_cudf train_test_split DataFrame keys predict len compute argmax mean_squared_error make_classification cuRFC_mg fit astype float32 skrfc assert_equal shape predict_proba int32 to_numpy train_test_split _prep_training_data zeros len compute cuRFR_mg internal_model from_treelite_model_handle _obtain_treelite_handle make_classification cuRFC_mg fit astype float32 int32 _prep_training_data predict len compute cuRFR_mg make_classification astype float32 _prep_training_data array asnumpy predict fit cuRFR_mg cuRFC_mg _prep_training_data xfail to_numpy make_classification xfail check_instance_count_for_non_leaf cuRFC_mg fit astype float32 loads int32 get_json _prep_training_data len cuRFR_mg make_classification xfail cuRFC_mg fit astype float32 get_combined_model int32 _prep_training_data len cuRFC_mg _prep_training_data len accuracy_score from_array list cuRFR_mg len train_test_split predict cuRFC_mg astype r2_score _prep_training_data keys compute make_classification float32 make_regression int32 asnumpy fit int values make_regression_dataset cumlRidge_dask mean_squared_error _prep_training_data predict fit serialize random array MultinomialNB fit serialize SparseCumlArray random generate_dask_array cp_csr_matrix map_blocks zeros from_array compute scipy_csr_matrix map_blocks zeros from_array SkTfidfTransformer create_cp_sparse_dask_array fit_transform range TruncatedSVD adapt_stress_test daskTPCA max_gpu_memory daskTPCA daskTPCA asarray load_digits load_iris repeat ceil len transform UMAP fit compute MNMG_UMAP UMAP transform choice ceil from_array fit format _umap_mnmg_trustworthiness debug _local_umap_trustworthiness _load_dataset _run_mnmg_test fetch_20newsgroups astype float32 int32 to_sparse_dask_array HashingVectorizer SHAPBase astype Handle float32 DataFrame fit SHAPBase handle isinstance astype Handle float32 reg float64 astype make_regression fit get_tag_from_model_func reg skreg get_tag_from_model_func create_dummy_model get_param_names get_handle_from_cuml_model_func create_dummy_model Handle isinstance get_handle_from_cuml_model_func model_func_call fit make_regression ones get_cai_ptr ones get_link_fn_from_str_or_fn get_link_fn_from_str_or_fn model print sum asnumpy allclose print reshape expected_value get_shap_values append assert_and_log range predict fit assert_and_log get_shap_values append float enumerate fit get_shap_values create_synthetic_dataset range expected_value fit asnumpy shap_values has_shap expected_value KernelExplainer get_shap_values create_synthetic_dataset range predict fit shap_values KernelExplainer astype float32 train_test_split fit _binomCoef range has_scipy range _shapley_kernel _powerset range len _powerset range len _get_number_of_exact_random_samples enumerate _generate_nsamples_weights _powerset rand _l1_regularization shap_values KernelExplainer make_regression Lasso fit predict get_shap_values append range expected_value fit print predict_proba range expected_value seed shap_values predict create_synthetic_dataset PermutationExplainer float range expected_value fit PermutationExplainer shap_values fit shap_values ones PermutationExplainer zeros fit from_xgboost shap_values TreeExplainer make_regression assert_almost_equal train DMatrix expected_value shap_values make_classification TreeExplainer set_group assert_almost_equal startswith train DMatrix expected_value shap_values ones curfr default_rng standard_normal TreeExplainer fit get shap_values curfr expected_value TreeExplainer make_regression to_numpy assert_almost_equal sum predict fit fit curfc make_classification Series kmeans_sampling as_cuda_array tolist flatten assert_array_equal DataFrame array asnumpy values cuKE fit importorskip bar get_shap_values importorskip decision_plot get_shap_values importorskip dependence_plot get_shap_values importorskip heatmap get_shap_values importorskip get_shap_values summary_plot importorskip violin get_shap_values importorskip get_shap_values waterfall pytest_deselected process_leaf_seeonce listchain append get_leaf get Series asarray assert_array_equal get Series asarray assert_array_equal get Series asarray assert_array_equal get Series asarray assert_array_equal fileids list tagged_words set lower append download Series stem PorterStemmer get_words Series PorterStemmer _step1a Series PorterStemmer _step1b len Series PorterStemmer _step1c len Series PorterStemmer _step2 Series PorterStemmer _step3 len Series PorterStemmer _step4 len Series PorterStemmer _step5a len Series PorterStemmer _step5b Series get_stem_series Series replace_suffix isinstance any isinstance any isinf data gpu_csr_matrix hasattr check_dtype astype gpu_coo_matrix check_sparse check_finite input_to_cupy_array gpu_csc_matrix arange sort _get_mask copy isnan logical_or any nan sum full _get_mask sum nansum _get_mask min nan unique empty max range tocsc _csc_mean_variance_axis0 _csc_mean_variance_axis0 sum size shape nansum empty enumerate y x abs y x add data indptr ceil zeros max y x add data indptr sqrt ceil zeros max y _deg3_column _deg2_column range x data int cumsum indptr indices empty ceil sum max diff f copy zeros range len norm format inf concatenate float64 min has_scipy tobytes fprime any int32 info zeros max range len hasattr isinstance tuple set start stop keys list columns arange isinstance _determine_key_type _safe_indexing get_loc append _determine_key_type hasattr list issparse asarray is_cuda_array isinstance list asarray hasattr isinstance to_output items list defaultdict reversed zip range len print _message_with_time default_timer len hasattr list zip _get_transformer_list copy ndarray isscalar isinstance issparse asarray rollaxis check_array mean_variance_axis warn nanmean sqrt nanstd _handle_zeros_in_scale inplace_column_scale CumlArrayDescriptor reshape check_array ndim CumlArrayDescriptor CumlArrayDescriptor reshape check_array ndim CumlArrayDescriptor reshape check_array ndim sum issparse T check_array tolist maximum min_max_axis inplace_csr_row_normalize_l1 repeat _handle_zeros_in_scale row_norms abs max inplace_csr_row_normalize_l2 eliminate_zeros issparse check_array logical_not issparse concatenate check_array hstack indptr col shape isspmatrix_csc coo_matrix isspmatrix_coo __class__ klass csc_matrix QuantileTransformer PowerTransformer CumlArrayDescriptor _get_elem_at_rank sort divmod sum len min max unique CumlArrayDescriptor CumlArrayDescriptor data issparse isinstance squeeze square copy sqrt einsum copy T iscsc inplace_csr_column_scale _raise_typeerror iscsr inplace_csr_row_scale _raise_error_wrong_axis iscsc iscsr _raise_typeerror indptr fminmax zeros enumerate flatnonzero diff sum_duplicates compress isnan fmax fminmax coo_matrix nan fmin _minor_reduce data fminmax isnan _raise_typeerror issparse check_array Integral RandomState isinstance isclass all_or_any sum_duplicates tocsr | # <div align="left"><img src="img/rapids_logo.png" width="90px"/> cuML - GPU Machine Learning Algorithms</div> [](https://gpuci.gpuopenanalytics.com/job/rapidsai/job/gpuci/job/cuml/job/branches/job/cuml-branch-pipeline/) cuML is a suite of libraries that implement machine learning algorithms and mathematical primitives functions that share compatible APIs with other [RAPIDS](https://rapids.ai/) projects. cuML enables data scientists, researchers, and software engineers to run traditional tabular ML tasks on GPUs without going into the details of CUDA programming. In most cases, cuML's Python API matches the API from [scikit-learn](https://scikit-learn.org). For large datasets, these GPU-based implementations can complete 10-50x faster than their CPU equivalents. For details on performance, see the [cuML Benchmarks Notebook](https://github.com/rapidsai/cuml/tree/branch-0.14/notebooks/tools). | 3,407 |
raquelaoki/ParKCa | ['causal inference'] | ['ParKCa: Causal Inference with Partially Known Causes'] | src/bart.py src/main.py src/train.py src/eval.py src/deconfounder.py data_code_future_repo/pickle_reader.py src/cevae.py read_pickle_file BART Data q_t_x q_z_tyx p_y_zt get_y0_y1 init_qz q_y_xt p_t_z CEVAE p_x_z deconfounder_algorithm diversity roc_table_creation recall pehe_calc simulation_eval precision first_level_asmeta roc_plot_all roc_plot roc_cevae main classification_models data_norm nn_classifier learners meta_learner read_pickle q_z_tyx_dist mean q_y_xt_dist float cat sum qz zero_grad Adam parameters iter next cuda range cat len to_pickle replace print roc_curve append DataFrame read_csv roc_auc_score arange replace set_index plot xlabel ylabel index title savefig read_pickle figure legend xticks yticks to_pickle str zip print concat roc_curve mean read_pickle isfile append DataFrame range roc_auc_score show arange set_index replace plot xlabel concat ylabel index title savefig read_pickle figure legend xticks yticks columns abs hstack confusion_matrix precision quantile append f1_score train_test_split DataFrame recall roc_auc_score drop ravel quantile append to_numpy abs range drop range len str diversity append first_level_asmeta Series fit pehe_calc to_csv range meta_learner matrix DataFrame array read_csv predict train_test_split generate_samples read diversity set_index print first_level_asmeta data_norm to_csv cgc learners meta_learner DataFrame gwas_simulated_data fillna append cate save fit_all DataFrame str list all append train_test_split head DA range normal concatenate copy mean CEVAE time print BART min fit len classification_models set_index concatenate print Series len divide append zeros train_test_split DataFrame values drop filterwarnings GridSearchCV concatenate print RandomForestClassifier PUAdapter fit SVC nn_classifier where LogisticRegression predict_proba precision_score binomial f1_score sum array len concat zero_grad loss_func SGD DataFrame values range reset_index Net eval akkuracy sample BCELoss net backward reshape Batcher parameters repeat Tensor train step drop var columns index mean shape sqrt append zeros DataFrame range | # ParKCa Causality for Computational Biology Citation: Aoki, Raquel, and Martin Ester. "ParKCa: Causal Inference with Partially Known Causes." Pac Symp Biocomput. 2021 ([link](https://arxiv.org/abs/2003.07952)) TODO: Update train.py ## Code Instructions ### 1. DATA PRE-PROCESSING - datapreprocessing.py: simulated dataset generation, pre-processing of cgc list, and other operations - script_realdata_preparation.R: real-dataset download, filtering, merging #### Example: | 3,408 |
rarefin/TTS_VAE | ['speech synthesis'] | ['Hierarchical Generative Modeling for Controllable Speech Synthesis'] | src/Main.py src/DataLoader.py src/Model.py src/Trainer.py MelDataset collateFunction Decoder VAE Encoder DownScale ConvLayer UnetDecoder UpScale train Tensor pad_sequence zero_grad save dataset open MSELoss load_state_dict to range state_dict format close eval mkdir load time backward print min write step len | # TTS_VAE A conditional generative model based on the variational autoencoder (VAE) to get disentangled representation to have controllable Text to Speech Synthesis. I am working on this paper https://arxiv.org/pdf/1810.07217.pdf | 3,409 |
ratschlab/RGAN | ['time series'] | ['Real-valued (Medical) Time Series Generation with Recurrent Conditional GANs'] | tstr.py tf_ops.py RVAE/sine_generation_RVAE_find_best_model.py kernel.py differential_privacy/dp_sgd/dp_optimizer/sanitizer.py RVAE/launch_sine_generation_RVAE_concatenated_input.py eICU_synthetic_dataset_generation.py plotting.py paths.py RVAE/launch_sine_generation_RVAE.py mod_core_rnn_cell_impl.py utils.py differential_privacy/privacy_accountant/tf/accountant.py eICU_task.py RVAE/sine_generation_RVAE_concatenated_input_find_best_model.py data_utils.py eICU_tstr_evaluation.py experiment.py eugenium_mmd.py differential_privacy/dp_sgd/dp_optimizer/utils.py mmd.py mountains/parse_mountains.py model.py RVAE/sine_generation_RVAE.py eval.py differential_privacy/dp_sgd/dp_optimizer/dp_optimizer.py RVAE/sine_generation_RVAE_concatenated_input.py resample_eICU_patient generate_eICU_resampled_patients get_data resampled_eICU get_samples_and_labels linear_marginal_likelihood make_predict_labels get_batch load_resized_mnist_0_5 eICU_task get_eICU_with_targets GP scale_data changepoint sine_wave mnist load_resized_mnist linear normalise_data changepoint_pdf generate_synthetic periodic_kernel get_cohort_of_complete_downsampled_patients changepoint_cristobal split generator get_batch train_generator train_discriminator sample_Z discriminator train_model get_train_data run_grid get_df get_labels gen_data my_kernel MMD_unbiased kernelwidth MMD_Diff_Var grbf kernelwidthPair MMD_3_Sample_Test model_memorisation train_CNN sample_distance assert_same_data view_reconstruction model_comparison TSTR_mnist error_per_sample view_interpolation TSTR_eICU view_digit view_fixed view_params view_latent_vary NIPS_toy_plot get_reconstruction_errors compare_y compare_metrics my_rbf cos_dist _mix_rbf_kernel _mmd2 median_pairwise_distance rbf_mmd2_and_ratio mix_rbf_mmd2_and_ratio rbf_mmd2 mix_rbf_mmd2 _mmd2_and_ratio _mmd2_and_variance generator invert GAN_loss GAN_solvers train_epoch create_placeholders dump_parameters sample_Z WGAN_loss discriminator load_parameters sample_trained_model sample_C MultiRNNCell _linear _enumerated_map_structure BasicRNNCell BasicLSTMCell InputProjectionWrapper _SlimRNNCell _checked_scope LSTMCell OutputProjectionWrapper EmbeddingWrapper DeviceWrapper LSTMStateTuple DropoutWrapper GRUCell ResidualWrapper interpolate save_plot_interpolate vis_eICU_patients view_marginals_cristobal plot_parameters visualise_latent save_mnist_plot_sample vis_eICU_patients_downsampled vary_latent_dimension nips_plot_sine nips_plot_rbf reconstruction_errors save_plot_sample view_mnist_eval visualise_at_epoch plot_sine_evaluation view_marginals_raw nips_plot_mnist save_plot_vary_dimension plot_trace save_plot_reconstruct dot sq_sum rgan_options_parser load_settings_from_file DPGradientDescentOptimizer AmortizedGaussianSanitizer NetworkParameters BuildNetwork SoftThreshold GenerateBinomialTable LayerParameters VaryRate BatchClipByL2norm GetTensorOpName ConvParameters AddGaussianNoise GaussianMomentsAccountant AmortizedAccountant MomentsAccountant DummyAccountant gps_distance_elevation downsample_mountain get_mts submit_job submit_job sine_wave get_batch decoder save_plot_sample encoder sine_wave get_batch decoder save_plot_sample encoder int list items print reshape normalise_data dict sqrt get_data zeros make_predict_labels max split sine_wave mnist load_resized_mnist linear print eICU_task resampled_eICU GP item mean vstack std reshape vstack fit seed items list permutation print normalise_data dict scale_data ceil items list print hstack dict zeros range reshape list items item load reshape permutation print mnist print astype save array str mnist print astype save array groupby pid generate_eICU_resampled_patients save values str groups append head set eICU_proc_dir item empty enumerate print loadtxt filter get_cohort_of_complete_downsampled_patients dropna read_csv len T arange pi uniform sin append float array range exp reshape pi pdist sin squareform rvs det arange multivariate_normal print reshape rbf_kernel periodic_kernel logpdf zeros empty range det T reshape inv pi dot sqrt gamma empty log enumerate rvs normal arange partial reshape choice uniform eye zeros array range int min linspace logpdf append range enumerate int T randn range dstack round array swapaxes append abs max clip enumerate rvs int T arange partial concatenate print reshape inv min choice kernel dot linspace eye append zeros range eICU_hdf_dir set_index sort_index total_seconds TimedeltaIndex read_hdf rename int32 median empty observationoffset str resample_eICU_patient print loadtxt write to_csv set difference eICU_proc_dir flush open str print to_csv filter eICU_proc_dir drop_duplicates read_csv concat read_hdf drop get_data get_dummies DataFrame values list map replace reindex set_index print reshape to_csv index age dropna split load argmax str print dict mode save item sample_trained_model sample_C open normal arange choice append range get_batch range run get_batch range run int pid print reshape get_labels set any empty head len int permutation recall_score precision_score append accuracy_score range predict fit str list print loadtxt map filter read_csv train_model str list join product get_train_data print loadtxt write map filter read_csv flush open set_index sort_index concat min shift index DataFrame max T get_train_data get_df dict save train_test_split reshape exp set_trace einsum cdf partial min kernel sqrt diagonal kernelwidth MMD_Diff_Var sum diag kernelwidthPair T dot dict diagonal sum diag T transpose dot shape tile sum array transpose dot shape sqrt tile median sum array T ones kron dot sqrt median expand_dims sum array sum diag diagonal load seed load_resized_mnist print reshape median_pairwise_distance eICU_task choice split vstack scale_data item sample_trained_model MMD_3_Sample_Test open load assert_same_data print open sample_trained_model MMD_3_Sample_Test load str ks_2samp print argsort reconstruction_errors save_plot_sample item open invert median_pairwise_distance min float32 mean zeros range load str reshape save_mnist_plot_sample zeros sample_trained_model open load invert str sample_distance print median_pairwise_distance DataFrame save_plot_interpolate interpolate item append sample_trained_model open load vary_latent_dimension save_plot_vary_dimension append sample_trained_model range open load invert str visualise_latent save_plot_reconstruct sample_trained_model open load sample_Z save_plot_sample sample_trained_model range open load str plot_parameters load_parameters open norm exp print compile EarlyStopping Sequential fit predict add Dense MaxPooling2D Conv2D expand_dims Flatten Dropout clear_session save accuracy_score argmax sample_trained_model open str map precision_recall_fscore_support predict classification_report close tile item RandomForestClassifier view_mnist_eval join train_CNN print reshape write fit save accuracy_score sample_trained_model roc_auc_score open str map precision_score precision_recall_fscore_support append range predict recall_score classification_report close mean tile item join T print reshape write average_precision_score array fit load nips_plot_mnist item sample_trained_model open norm norm join subplots arange suptitle plot fastdtw set_title distance_measure close tight_layout argsort clf savefig append range set_ylim enumerate normal str plot print close zfill title axhline ylim savefig clf fill_between xlim my_rbf matmul diag_part unstack zip tensordot _mix_rbf_kernel _mix_rbf_kernel reduce_sum cast float32 trace sqrt maximum _mmd2_and_variance sq_sum float32 reduce_sum dot diag_part cast sqrt reshape einsum print float32 linspace zeros choice int get_batch zeros_like reshape len choice mean sample_Z argmax range run generator norm group reduce_mean assign discriminator clip_by_value append random_normal generator reduce_mean discriminator sigmoid_cross_entropy_with_logits minimize print float32 placeholder reduce_mean GaussianMomentsAccountant AmortizedGaussianSanitizer float32 placeholder trainable_variables print dict save run item load str generator print float32 placeholder sample_Z reset_default_graph load_parameters open load str generator _mix_rbf_kernel norm minimize print median_pairwise_distance float32 placeholder diag_part reduce_mean get_variable reset_default_graph load_parameters open get_variable_scope reshape vis_eICU_patients_downsampled save_mnist_plot_sample save_plot_sample argmax mode int list subplots arange plot suptitle hsv_to_rgb close subplots_adjust set_ticks zfill clf savefig range set_ylim subplots arange set_ticks set_visible clf tick_params list set_title savefig dA range plot hsv_to_rgb set_xlim close dB int suptitle subplots_adjust set_facecolor set_ylim subplots set_title print set_xlim tight_layout set_visible hist savefig tick_params int list subplots arange plot set_title close subplots_adjust set_ticks clf savefig range int list subplots arange set_title plot suptitle hsv_to_rgb close subplots_adjust set_ticks zfill set_visible clf set_facecolor savefig tick_params range normal array linspace mean linspace abs array range rfft subplots vlines set_title close zfill mean set_ylabel hist savefig clf rfftfreq abs max len subplots arange D_loss set_ticks set_visible clf G_loss tick_params read_table set_xlabel twinx savefig legend set_color mmd2 epoch plot set_xlim close get_ylim set_label_coords ll real_ll set_ylabel dropna set_ylim subplots read_hdf set_visible clf linspace tick_params abs list set_xlabel savefig plot close set get_ylim get_xlim zip set_label_coords tick_bottom set_index suptitle sort_index print index set_ylabel set_ylim len int str subplots set_title suptitle reshape close subplots_adjust zfill imshow sqrt clf savefig argmax range print random close scatter savefig clf array range T subplots set_title matshow set_xlim tight_layout set_visible savefig set_ylim split subplots set_visible clf linspace tick_params abs list set_xlabel savefig range plot close get_ylim get_xlim zip set_label_coords enumerate tick_bottom suptitle zfill set_ylabel set_ylim len int list subplot reshape axis tight_layout sqrt imshow title savefig zip enumerate subplots set_yticklabels grid set_visible linspace round max imshow savefig append range tight_layout mean set_ticks_position enumerate T set_yticks min set_adjustable set_ylabel set_xticks zeros subplots zeros_like set_yticklabels grid flatten set_visible linspace argmax max round str set_title set_xlabel imshow savefig legend append range tight_layout mean set_ticks_position scale_data enumerate load T view_marginals_raw set_size_inches suptitle reshape set_yticks eICU_task_data min subplots_adjust set_adjustable eICU_synthetic_dir set_ylabel set_xticks hist zeros str subplots arange plot reshape close set_visible clf set_facecolor savefig tick_params set_ylim len str subplots arange plot reshape close set_visible clf set_facecolor savefig tick_params set_ylim len str axis close imshow clf savefig add_argument ArgumentParser load update list print keys open rsplit patch_size layer_parameters input_size with_bias weight_decay num_units projection_dimensions name matmul conv2d relu in_channels sqrt truncated_normal Variable reshape max_pool gradient_l2norm_bound num_outputs zeros bias_gradient_l2norm_bound conv_parameters zeros range plot cumsum clf savefig points append elevation plot clf savefig linspace interp gps_distance_elevation reshape downsample_mountain save join list items print system print | # RGAN This repository contains code for the paper, _[Real-valued (Medical) Time Series Generation with Recurrent Conditional GANs](https://arxiv.org/abs/1706.02633)_, by Stephanie L. Hyland* ([@corcra](https://github.com/corcra)), Cristóbal Esteban* ([@cresteban](https://github.com/cresteban)), and Gunnar Rätsch ([@ratsch](https://github.com/ratsch)), from the Ratschlab, also known as the [Biomedical Informatics](http://bmi.inf.ethz.ch/) Group at ETH Zurich. *Contributed equally, can't decide on name ordering ## Paper Overview Idea: Use generative adversarial networks (GANs) to generate real-valued time series, for medical purposes. As the title suggests. The GAN is **R**GAN because it uses recurrent neural networks for both encoder and decoder (specifically LSTMs). #### What does this have to do with medicine? We aim to generate time series from ICU patients, using the open-access [eICU dataset](http://eicu-crd.mit.edu/about/eicu/). However, we also generate some non-medical time-series, like sine waves and smooth functions sampled from Gaussian Processes, and MNIST digits (imagined as a time series). #### Why generating data at all? Sharing medical data is hard, because it comes from real people, and is naturally highly sensitive (not to mention legally protected). One workaround for this difficultly would be to create _sufficiently realistic_ synthetic data. This synthetic data could then be used to reproducibly develop and train machine learning models, enabling better science, and ultimately better models for medicine. | 3,410 |
raywu0123/Brain-Tumor-Segmentation | ['semantic segmentation'] | ['Deep Learning Based Segmentation of Various Brain Lesions for Radiosurgery'] | models/tests/test_utils.py optimizers/radam.py data/base.py data/tcia_ct.py models/u_net.py data/brats2015.py data/data_providers.py data/structseg.py models/extractors.py preprocess_tools/preprocess.py models/batch_samplers/uniform_patch3d.py models/batch_samplers/three_dim.py trainers/pytorch_trainer.py data/augmentations/base.py models/batch_samplers/base.py models/loss_functions/misc.py preprocess_tools/image_utils.py ntu_challenge_tools/check_shape.py metrics.py ntu_challenge_tools/ensemble.py parser.py data/augmentations/volume_augmentation.py data/wrappers.py models/__init__.py tests/test_utils.py data/augmentations/tests/tests.py utils.py misc/get_max_depth.py models/utils.py optimizers/__init__.py models/v_net.py models/base.py models/loss_functions/__init__.py data/ntu_ct.py data/ntu_mri.py trainers/base.py predict.py models/batch_samplers/utils.py models/batch_samplers/tests/test.py models/batch_samplers/__init__.py main.py models/loss_functions/tests/test.py models/loss_functions/dice.py tests/test_metrics.py models/tests/test_modules.py models/pspnet.py models/high_resolution_compact_network.py models/loss_functions/utils.py models/batch_samplers/center_patch3d.py data/augmentations/image_augmentation.py models/toy_model.py models/batch_samplers/two_dim.py data/data_provider_base.py preprocess_tools/postprocess.py main flow hard_max StructSegHaNMetric volumewise_mean_score BRATSMetric ClasswiseMetric soft_dice MetricBase cross_entropy add_general_args add_optimizing_args add_prediction_args add_training_args brain_tumor_argparse categorize_by_diagnosis flow highlight_print match_kwargs to_one_hot_label get_3d_from_2d parse_exp_id get_2d_from_3d strip_file_extension DataGeneratorWrapperBase DataGeneratorBase Brats2015DataGenerator Brats2015DataProvider DataProviderHub DataProviderBase NtuCtDataGenerator NtuCtDataProvider NtuMriDataGenerator NtuMriDataProvider StructSegDataGenerator StructSeg2019DataProvider TciaCtDataGenerator TciaCtDataProvider NormalizedDataGeneratorWrapper AsyncDataGeneratorWrapper AugmentedDataGeneratorWrapper AugmentorBase ImageAugmentor VolumeAugmentor AugmentationTestCase PytorchModelBase ModelBase Fire SqueezeNet densenet DenseNet ResNet resnet50 Bottleneck resnet152 squeezenet conv3x3 _DenseLayer resnet34 _DenseBlock resnet18 load_weights_sequential BasicBlock _Transition resnet101 HighResolutionCompactNetwork CustomConv PSPNet PSPModule PSPUpsample ToyModel normalize_batch_image summarize_logs get_tensor_from_array co_shuffle AttentionUpConv SelfAttention UNet UpConv ConvNTimes DownConv Duplicate UpConv VNet ConvNTimes DownConv BatchSamplerBase CenterPatch3DBatchSampler ThreeDimBatchSampler TwoDimBatchSampler UniformPatch3DBatchSampler flatten TwoDimBatchSamplerTestCase Patch3DBatchSamplerTestCase naive_soft_dice_score my_soft_dice_score generalized_soft_dice_score weighted_cross_entropy minus_dice ce_minus_log_dice GetClassWeights LossFunctionTestCase ModuleTests DiceLossTestCase AdamW RAdam PlainRAdam OptimizerFactory crop_or_pad_single_dim get_boundaries crop_image_and_label_with_mask ImageProcessor crop_or_pad_to_shape pad_label_with_dims get_dims save_array_to_nii load_nii zoom_image MetricTestCase DimensionConvertTestCase TrainerBase PytorchTrainer fit_generator checkpoint_dir do_comet log_parameters optimizer_factory flow PytorchTrainer data_format basename parse_exp_id strftime normpath append get_data_provider get DataProviderHub mkdir vars join print auxiliary_data_provider_ids get_model OptimizerFactory to_one_hot_label argmax sum mean squeeze take_along_axis log add_general_args add_optimizing_args add_argument_group add_prediction_args add_training_args ArgumentParser set_defaults add_argument set_defaults add_argument add_argument add_argument highlight_print summarize_logs get_data_generator_fn list print categorize_by_diagnosis predict_on_generator keys list print tqdm data_generator append range len print reshape transpose reshape transpose join split items list max tuple reshape moveaxis shape zeros ravel array items list OrderedDict load_state_dict zip load_url ResNet load_weights_sequential load_url ResNet load_weights_sequential load_url ResNet load_weights_sequential load_url ResNet load_weights_sequential load_url ResNet load_weights_sequential mean std astype permutation len uint8 astype is_available Tensor cuda mean list keys len array get_tensor_from_array view mean softmax sum get_tensor_from_array view mean softmax sum get_tensor_from_array view mean softmax sum weighted_cross_entropy to_one_hot_label dice_fn log get_tensor_from_array long to_one_hot_label dice_fn Nifti1Image diag Nifti1Header save astype any get_boundaries astype get_dims astype zoom int list shape take floor ceil zeros array range crop_or_pad_single_dim array range ndim zeros load get_fdata | # Brain-Tumor-Segmentation ## Usage ### 1. Install Dependencies ``` pipenv install pipenv shell ``` ### 2. Set up .env ``` cp .env.example .env | 3,411 |
rbawden/paraphrasing-bleu | ['machine translation'] | ['A Study in Improving BLEU Reference Coverage with Diverse Automatic Paraphrasing'] | treelstm-autoencoder/trainer.py treelstm-autoencoder/config.py scripts/sample_random_codes.py scripts/uniq.py scripts/calculate_diversity.py scripts/prep_ref_hyp_data.py treelstm-autoencoder/bottleneck.py scripts/find_new_ngrams_combine.py treelstm-autoencoder/util.py treelstm-autoencoder/vocab.py treelstm-autoencoder/tree.py treelstm-autoencoder/zglobal.py scripts/ngram_analysis.py scripts/calc_system_scores.py treelstm-autoencoder/run.py scripts/metric_correlation-create-raw-500-latex-table.py scripts/ngram_search.py scripts/metric_correlation_seglevel.py scripts/williams.py scripts/add_codes_to_vocab.py scripts/cluster.py treelstm-autoencoder/model.py scripts/ngram_coverage.py treelstm-autoencoder/parallel.py scripts/find_new_ngrams.py scripts/metric_correlation_syslevel.py scripts/syntactic_similarity.py scripts/calculate_diversity-500subsample.py scripts/metric_correlation-create-summary-latex-table.py treelstm-autoencoder/dataset.py scripts/prune_trees.py scripts/take_one.py treelstm-autoencoder/attn.py scripts/project_constraints.py scripts/get_constraints.py scripts/metric_correlation-create-raw-latex-table.py diversity TreeKernel BLEU escape read_file read_files BOW diversity TreeKernel BLEU escape read_file read_files BOW main normalize_row add_scores main save_predictions clusterModel load_data main main main get_all_lang_correlations write_table get_all_lang_correlations write_raw_table write_table_content write_header get_summary_correlations_small content_small_table content_large_table get_summary_correlations write_summary_table bootstrap_resampling correlate_all_lps normalise get_results print_results correlate read_ref read_scores normalise get_results print_results correlate read_ref read_scores main main main main prune_trees read_trees delete_leaves apted_tree_format apted compare_all_trees test_trees rule_intersection delete_all_below_depth compare_trees main dice williams_test ResidualLayer attn_mask_maker MHAttention FFNLayer sinusoid_position_encoder TransformerEncoder bit_to_int saturating_sigmoid ISemHash inverse_exp_decay parse_args _tree_batching TreeDataset _batch_indexer TreeLSTMAutoEncoder BranchLinear ParentExpandLSTMCell TreeLSTMDecoder TreeLSTMEncoder ChildSumLSTMCell parallel_model get_device map_structure putter main Trainer string_to_tree linear_tree_to_encdec get_labels_on_tree Tree masked_acc expand_tile_dims masked_loss Vocab global_get global_update str sorted list print write group extend match read_file zip append listdir keys len replace str sorted list print TreeKernel BLEU write metric len BOW keys enumerate nan list map split update items list print concat apply nanmean set nanstd unique append range read_csv values split load str endswith loadtxt resize shape info fromfile numpy exists str savetxt shape info save_predictions in_file save_model model_file load_model add_argument out_file load_data ArgumentParser info parse_args train clusterModel predict systems uniq open sorted defaultdict map Counter extract_ngrams zip float keys enumerate join human_scores len DictReader int field_size_limit files maxsize SentencePieceProcessor reference normalize spm MosesPunctNormalizer Load print get_results print get_all_lang_correlations dirname abspath join sorted list append sum keys len join sorted list get_all_lang_correlations print dirname abspath keys print print write_table_content write_header sorted print get_results sum len print get_results print get_summary_correlations dirname abspath print get_summary_correlations_small dirname abspath print content_large_table content_small_table sub replace close normalise open float split arange extend choice correlate range append len bootstrap_resampling sorted list correlate flush float correlate correlate_all_lps read_ref read_scores join sorted correlate_all_lps print read_ref read_scores replace append sorted list sorted keys sum len correlate round keys paraphrases pretty stdin translations dumps loads delete_leaves replace print strip fromstring sub delete_all_below_depth label APTED strip from_text len productions intersection set exit print fromstring label range pretty_print len enumerate enumerate print write zeros compare_trees enumerate split set dice cdf sqrt print exit exp arange size contiguous unsqueeze float log cat sigmoid global_get float exp log sum detach add_argument add_mutually_exclusive_group ArgumentParser set_defaults list zip zeros max range len append tolist range format device map_structure zip append model putter get_device replicate map_structure parallel_apply to data TreeLSTMAutoEncoder getLogger SGD Trainer save DEBUG setLevel cuda TreeDataset seed addHandler Adam mem_dim global_get Vocab load_state_dict to global_update setFormatter Adagrad format debug size StreamHandler test input_dim manual_seed isfile INFO FileHandler load Formatter use_src expname epochs makedirs copy_from_nltk_tree fromstring Tree sub label _get_labels_on_tree range len get_labels_on_tree size unsqueeze len size sum view scatter_ sum float argmax numel | # A Study in Improving BLEU Reference Coverage with Diverse Automatic Paraphrasing ## Citation If you use or reference this work, please cite: ``` @inproceedings{bawden2020study, title={{A Study in Improving BLEU Reference Coverage with Diverse Automatic Paraphrasing}}, author={Rachel Bawden and Biao Zhang and Lisa Yankovskaya and Andre Tättar and Matt Post}, year={2020}, booktitle={Findings of the 2020 Conference on Empirical Methods in Natural Language Processing}, notes={To appear} | 3,412 |
reiinakano/neural-painters-pytorch | ['style transfer'] | ['Neural Painters: A learned differentiable constraint for generating brushstroke paintings'] | neural_painters/gan_painter.py neural_painters/mypaint_env.py neural_painters/common.py neural_painters/vae_painter.py neural_painters/transforms.py neural_painters/data.py neural_painters/viz.py neural_painters/canvas.py NeuralCanvas NeuralCanvasStitched paint_over_canvas reconstruction_loss_function ActionStrokeDataLoader FullActionStrokeDataLoader train_gan_neural_painter load_from_latest_checkpoint Generator GANNeuralPainter save_train_checkpoint weights_init Discriminator calc_gradient_penalty rotate_ellipse midpoint PaintMode ColorEnv constraint_angle angle_normal vector_length distance perpendicular point_in_ellipse multiply add point_on_curve_2 normal multiply_add get_angle starting_point_for_ellipse constrain_to_angle length_and_normal difference dot_product point_on_curve_1 RandomRotate RandomCrop Normalization RandomScale VAEEncoder VAEDecoder load_from_latest_checkpoint kl_loss_function save_train_checkpoint train_vae_neural_painter VAEPredictor VAENeuralPainter neural_painter_stroke_animation plot_images animate_strokes_on_canvas validate_neural_painter animate_frames view mean shape repeat max ones_like view where mean eq sum data normal_ __name__ constant_ join format print save makedirs load join format print load_state_dict view rand mean discriminator to generator add_images zero_grad reconstruction_loss_function Adam apply save_train_checkpoint discriminator to range detach FullActionStrokeDataLoader SummaryWriter format mean calc_gradient_penalty enumerate load_from_latest_checkpoint backward print parameters train step add_scalar difference multiply_add difference multiply_add rotate_ellipse radians cos sin rotate_ellipse radians cos sin multiply dot_product acos pi length_and_normal constraint_angle angle_normal pi acos radians cos sin difference vector_length length_and_normal sqrt difference vector_length multiply add ones_like exp mean pow sum max add_images zero_grad reconstruction_loss_function list predictor Adam save_train_checkpoint encoder to range FullActionStrokeDataLoader SummaryWriter format param_groups close item enumerate decoder load_from_latest_checkpoint backward print kl_loss_function parameters train step mse_loss add_scalar show grid add_subplot imshow figure enumerate len write_videofile VideoClip load_from_train_checkpoint transpose numpy plot_images neural_painter_fn format print VideoClip load_from_train_checkpoint uniform reset write_videofile append concatenate transpose shape stack tile animate_frames | # The author's PyTorch implementation of Neural Painters  Neural Painters: A learned differentiable constraint for generating brushstroke paintings https://arxiv.org/abs/1904.08410 ## Dependencies Dependencies are listed in [`environment.yaml`](https://github.com/reiinakano/neural-painters-pytorch/tree/master/environment.yaml) but the notable ones are: * PyTorch 1.3+ * kornia * gdown * (Optional) MyPaint - installing this is a bit of a pain but you can view examples of how to set up the exact versions in the notebooks [`train_vae_painter.ipynb`](https://colab.research.google.com/github/reiinakano/neural-painters-pytorch/blob/master/notebooks/train_vae_painter.ipynb) and [`train_gan_painter.ipynb`](https://colab.research.google.com/github/reiinakano/neural-painters-pytorch/blob/master/notebooks/train_gan_painter.ipynb). | 3,413 |
reinhardh/supplement_deep_decoder | ['denoising'] | ['Deep Decoder: Concise Image Representations from Untrained Non-convolutional Networks'] | include/wavelet.py include/fit.py include/visualize.py include/decoder.py include/__init__.py include/compression.py include/helpers.py rep_error_wavelet myimgshow rep_error_deep_decoder ResidualBlock resdecoder decodernw add_module conv exp_lr_scheduler fit psnr np_to_tensor ycbcr2rgb rgb2gray rgb2ycbcr mse pil_to_np np_to_var savemtx_for_logplot num_param var_to_np load_and_crop save_np_img save_tensor apply_until save_np_img plot_image_grid denoise_wavelet _wavelet_threshold type ycbcr2rgb rgb2ycbcr fit transpose denoise_wavelet imshow transpose clip str len int ReflectionPad2d Conv2d Sequential add Sigmoid conv Upsample BatchNorm2d range len ResidualBlock Sequential add Sigmoid conv Upsample range len print param_groups format data int deepcopy print Variable clone Adam SGD MSELoss mse exp_lr_scheduler normal_ LBFGS uniform_ zeros step range len size open transpose axis close imshow savefig clip transpose array flatten mean square flatten mean square log sum list sorted T set savetxt array print type fun enumerate subplots min tight_layout imshow set_visible ceil enumerate len close savefig plot_image_grid concatenate sort min dec_len wavedecn shape Wavelet abs max img_as_float ycbcr2rgb rgb2ycbcr empty_like _wavelet_threshold range | # Deep Decoder This repository provides code for reproducing the figures in the paper: **``Deep Decoder: Concise Image Representations from Untrained Non-convolutional Networks''**, by Reinhard Heckel and Paul Hand. Contact: [email protected] The paper is available online [[here]](http://www.reinhardheckel.com/papers/deep_decoder.pdf). The deep decoder is a simple image generating deep neural network. The network is untrained, non-convolutional, and under-parameterized, i.e., it generates images from few paramters. The deep decoder enables image compression and solving invere problems:  ## Installation The code is written in python and relies on pytorch. The following libraries are required: - python 3 - pytorch | 3,414 |
rekords-uw/Picket | ['outlier detection'] | ['Picket: Guarding Against Corrupted Data in Tabular Data during Learning and Inference'] | picket/transformer/sparsemax.py picket/encoder/example_encoder.py picket/filter/filtersTest.py picket/rvae/EmbeddingMul.py picket/rvae/utils.py picket/prepare/dataInfo.py picket/prepare/dataPrepare.py picket/visualize/visualization.py picket/filter/filtersTrain.py picket/helper.py picket/rvae/train_eval_models.py picket/preprocessor/dataset.py picket/core.py picket/globalvar.py picket/preprocessor/embeddings.py picket/rvae/run.py picket/rvae/RVAE.py picket/wrappers/pytorchNN.py picket/wrappers/pytorchNNThreeClass.py picket/encoder/curl_model.py picket/rvae/model_utils.py picket/rvae/imageDataset.py picket/transformer/PicketNet.py picket/rvae/mixedDataset.py picket/transformer/utils.py DeepTable GlobalTimer LookUpModelSimple EncodingSimple Encoding LookUpModel AttrEmbedding getCalibratedScore add_random_noise_odd find_optimal_thres_acc repeated_exps_bc getSafeAndVictimAdv validate_per_class_detector knnScore randomSelectWithIdx printResTestTime Attribute find_optimal_thres_f1 getRobustMeanScoreOnebyOne evaluateTestTime evaluationMetric printTestTimeMicroBM distanceScore evaluation_LR_class randomSelect acc_for_thres NLL getTemperature evaluation_LR_class_time_analysis Metadata is_zero_one evaluation_LR PK_model_prepare time_analysis add_random_noise_ds get_log_odds_diff NLL_SVM getRobustMeanScore RVAE_ds runtime_test dataPackArtificialTrain testTimeAnalysis dataPack getPKLossInference dataPackAdv f1_for_thres add_random_noise flattern get_log_odds_diff_new printResTestTimeExact getArtificialSize mixCleanDirty pack_res repeated_exps evaluation_LR_class_no_train runtime_test_real Filters dataPackMix pad_to_3d validate_early_filtering getCleanPoisonMix computeMetric flattern FiltersTrain printResTrainTime printResTwoStream RVAE_ds printAccDiffThres ds_acc_diff_thres pack_res Metadata evaluateTrainTime Attribute getCleanDirtyMix picketOnly printResEarlyFiltering pad_to_3d toOneHot random_flip system_flip TrainTestSplit dataPrepareTestAdv oneHotToZeroOne systematicFlipTrain randomFlipTrain mixCleanDirtyData flip_correct_wrong randomFlipTest system_flip_ds FGMAttack mixCleanPoisonData getAttackSuccessId evasionAttack PGDAttack getAttackFailId systematicFlipTest standardize random_flip_ds flattern dataPrepareTest dataPrepareTrain Dataset Attribute PaddingModel LocalFasttextModel OneHotEncoderModel AvgModel load_embedding EmbeddingMul imageDatasetInstance imageDataset mixedDatasetInstance mixedDataset nll_gauss_global copy_params_vae rnn_vae_forward_two_stage reparam_real reparam_categ masker combine_x_data get_pi_exact_categ logit_fn reparam_gen_model get_pi_exact_gauss get_pi_exact_vec rnn_vae_forward_one_stage nll_categ_global save_to_csv compute_metrics get_outlier_scores VAE repair_phase evaluation_phase training_phase brier_score row_metrics cell_metrics get_avpr_metrics generate_score_outlier_matrix load_data error_computation get_auc_metrics generate_score_outlier_matrix_complete MultiHeadedAttentionDiff PositionwiseFeedForward clones LayerNorm SublayerConnection SimpleLossCompute EncoderLayerDiff Batch Generator NoamOpt run_epoch enable_dropout make_model PicketNetModel Encoder Preprocessor MultiHeadedAttention EncoderLayer run_epoch_with_loss PositionalEncoding attention TwoStreamTransformer Sparsemax hideValues saveAttributeInfo AttributeInfo loadAttributeInfo trainTest flipValues computePR getIndependentIdx generateMaskFromName oneHotFilter NLL independentRecover getPositiveMask generateMask permuteValues colorMap MidpointNormalize flattern toOneHot Net oneHotToZeroOne torchNN flattern toOneHot Net torchNNThreeClass oneHotToZeroOne ones zeros concatenate permutation concatenate print ones zeros permutation permutation append concatenate getSafeAndVictimAdv mixCleanDirty files append zeros keys concatenate ones zeros concatenate concatenate print ones min randomSelect zeros flattern torchNN f1_score accuracy_score predict fit f1_score join dump flattern concatenate predict zeros accuracy_score max torchNN fit load join f1_score flattern concatenate zeros accuracy_score max predict f1_score time flattern concatenate predict zeros accuracy_score max torchNN fit float sum f1_score permutation range acc_for_thres f1_for_thres permutation range exp expit choose T int permutation arange delete decision_function range predict fit expit T decision_function choose predict norm stack zeros std einsum enumerate flattern print distanceScore LinearSVC append float sum range predict fit normal abs range copy add_random_noise range copy normal rand copy shape randint abs range T flattern add_random_noise_ds mean decision_function stack append choose range predict T flattern add_random_noise_odd mean decision_function stack append choose range predict concatenate abs eig mean cov eye argmax append range getRobustMeanScore f1_score accuracy_score stack PKLossFilter str LogisticRegression append CalibratedConfidenceScoreFilter ExtraClassFilter torchNN TheOddsAreOddFilter load flattern RVAEFilter savez print LinearSVC RawFeatureFilter pack_res res NearestNeighbourFilter Filters makedirs load str Filters flattern LinearSVC LogisticRegression runTimeAnalysis torchNN load str Filters flattern savez RawFeatureFilterUnified print LinearSVC LogisticRegression RawFeatureFilter pack_res res append PKLossFilterThreshold torchNN makedirs append print repeated_exps print time_analysis print mean load print mean load append print repeated_exps_bc print load load saveModel print loadData PicketNetModel Tensor train double loadData rand PicketNetModel randint train double Tensor load loadData PicketNetModel Tensor train double getLossTest double Tensor range rand copy int permutation floor concatenate zeros roc_curve average_precision_score auc print PicketFilter aggregateStatisticsPK FiltersTrain FiltersTrain savez RVAEFilter print aggregateStatistics PicketFilter LinearSVC LogisticRegression OCSVMFilter effectOnDownstream pack_res append range IFFilter aggregateStatisticsPK torchNN makedirs print mean load append load mean print FiltersTrain savez print PicketFilter pack_res append aggregateStatisticsPK makedirs load mean print FiltersTrain savez print PicketFilter effectOnDownstreamDiffThreshold pack_res append torchNN load mean print range mean std range copy normal range randint copy random_flip range copy range copy system_flip range copy argmax predict argmax predict format getAttackSuccessId print ProjectedGradientDescent getAttackFailId generate FastGradientMethod sum predict len random_flip mean system_flip stack array append randint std permutation arange delete EncodingSimple values train_idx load_embedding load_dataset sum size env standardize int savez print reshape makedirs ds DeepTable numpy len load str flattern savez print score LinearSVC predict flip_correct_wrong LogisticRegression save exists torchNN fit load str flattern savez print score LinearSVC predict flip_correct_wrong LogisticRegression torchNN fit load random_flip_ds savez load system_flip_ds savez load str flattern evasionAttack savez SklearnClassifier toOneHot LinearSVC LogisticRegression classifier torchNN fit load str flattern evasionAttack savez SklearnClassifier toOneHot LinearSVC LogisticRegression classifier torchNN fit PGDAttack print systematicFlipTest randomFlipTest FGMAttack print FGMAttack PGDAttack systematicFlipTrain randomFlipTrain savez print TrainTestSplit range rand copy pad_to_3d int permutation concatenate reshape astype float32 floor PaddingModel join str AvgModel OneHotEncoderModel load_vocab values view ones shape tensor type log type exp log view ones shape tensor type log type log view view clamp gather get_pi_exact_categ feat_info append get_pi_exact_gauss type long cat enumerate view squeeze size scatter_ softmax tensor Gumbel max randn_like exp_ detach reparam_real append reparam_categ feat_info cat enumerate dict cp_dict_func squeeze sigmoid round tensor Gumbel append feat_info view enumerate format copy_params_vae model print backward training loss_function reparam_gen_model median get_pi_exact_vec dataset_obj range decode format reparameterize copy_params_vae model print training get_pi_exact_vec masker combine_x_data loss_function reparam_gen_model encode median bool dataset_obj range print evaluation_phase format repair_phase from_dict cell_metrics to_csv repair_phase evaluation_phase cpu DataFrame makedirs number_epochs training_phase Adam VAE cuda_on compute_metrics tensor cuda range model zero_grad cuda_on tensor dataset get_pi_exact_vec cuda rnn_vae_forward_one_stage format seqvae_bprop item float enumerate backward print loss_function train step len model rnn_vae_forward_two_stage get_pi_exact_vec seqvae_two_stage eval loss_function bool rnn_vae_forward_one_stage format bool model rnn_vae_forward_two_stage print dict seqvae_two_stage eval loss_function item error_computation dict_slice tensor get_pi_exact_vec rnn_vae_forward_one_stage format columns FloatTensor print mixedDatasetInstance ByteTensor DataLoader type imageDatasetInstance mean auc_compute any zeros range mean any zeros range avpr_compute nll_gauss_global view feat_info type long nll_categ_global enumerate nll_gauss_global view clamp feat_info type long nll_categ_global enumerate cpu get_auc_metrics numpy get_avpr_metrics ones shape numpy any auc_compute cpu sum avpr_compute exp brier_score view to mean feat_info type item append bool sum enumerate dropout size transpose matmul sqrt Sparsemax masked_fill softmax sparsemax to deepcopy MultiHeadedAttentionDiff PositionwiseFeedForward EncoderLayerDiff Generator Encoder xavier_uniform_ parameters Preprocessor c MultiHeadedAttention TwoStreamTransformer EncoderLayer time loss_compute layers print target_class zero_grad attribute_id_mask samples target_value to forward enumerate time loss_compute layers append view print target_class zero_grad attribute_id_mask samples target_value to forward cat enumerate train modules startswith expand repeat unsqueeze eye sum range cat eye append len append range index len seed int permutation index seed int permutation index seed int permutation index allclose randint range Tensor vec recall_score precision_score f1_score accuracy_score predict fit argmax print reshape sqrt sum max vec print vocab str save to_pickle vec load str AttributeInfo OrderedDict read_pickle range show list xlabel yticks ylabel colorbar tight_layout imshow title xticks range max MidpointNormalize len | # Picket: Guarding Against Corrupted Data in Tabular Data during Learning and Inference Picket is a system that safeguards against data corruptions during both training and deployment of machine learning models over tabular data. Details of the system can be found in our paper: https://arxiv.org/abs/2006.04730. Please cite our paper if you use the code. ## Environment Requirements We run the experiments with the following dependencies: * pytorch v1.0.1 * matplotlib v3.2.1 * pandas v0.23.4 * scikit-learn v0.22.1 * gensim v3.8.1 * tqdm v4.45.0 | 3,415 |
remicres/otbtf | ['time series'] | ['M3Fusion: A Deep Learning Architecture for Multi-{Scale/Modal/Temporal} satellite data fusion'] | test/tutorial_unittest.py python/examples/tensorflow_v1x/create_savedmodel_pxs_fcn.py test/test_utils.py python/examples/tensorflow_v1x/create_savedmodel_simple_cnn.py python/examples/tensorflow_v1x/create_savedmodel_maggiori17_fullyconv.py python/examples/tensorflow_v1x/create_savedmodel_simple_fcn.py test/models/model5.py python/examples/tensorflow_v1x/create_savedmodel_ienco-m3_patchbased.py python/tricks.py test/sr4rs_unittest.py python/ckpt2savedmodel.py python/otbtf.py main DatasetFromPatchesImages Buffer RandomIterator gdal_open read_as_np_arr IteratorBase PatchesReaderBase Dataset PatchesImagesReader create_savedmodel ckpt_to_savedmodel read_image_as_np read_samples CNN get_prediction RnnAttention my_model conv2d_valid my_model conv2d_valid my_model conv2d_valid SR4RSv1Test command_train_succeed compare get_nb_of_channels resolve_paths run_command_and_test_exist TutorialTest run_command_and_compare run_command resolve_paths add_argument ckpt_to_savedmodel ArgumentParser parse_args set_defaults Open int transpose ReadAsArray RasterYSize RasterXSize gdal_open print simple_save get_default_graph reset_default_graph MultiRNNCell tanh Variable reshape static_rnn reduce_sum expand_dims stack unstack softmax random_normal append GRUCell range tensordot get_shape max_pooling2d concat conv2d batch_normalization reduce_mean CNN truncated_normal Variable concat matmul RnnAttention Conv2D conv2d_valid reshape max_pool_2x MaxPool2D stack argmax format system Path CreateApplication SetParameterString ExecuteAndWriteOutput CreateApplication format get_nb_of_channels print SetParameterString GetParameterFloat SetParameterInt range Execute print format replace print format system resolve_paths format print run_command Path resolve_paths print items format run_command |  # OTBTF: Orfeo ToolBox meets TensorFlow [](https://opensource.org/licenses/Apache-2.0) [](https://gitlab.irstea.fr/remi.cresson/otbtf/-/commits/develop) This remote module of the [Orfeo ToolBox](https://www.orfeo-toolbox.org) provides a generic, multi purpose deep learning framework, targeting remote sensing images processing. It contains a set of new process objects that internally invoke [Tensorflow](https://www.tensorflow.org/), and a bunch of user-oriented applications to perform deep learning with real-world remote sensing images. Applications can be used to build OTB pipelines from Python or C++ APIs. ## Features ### OTB Applications - Sample patches in remote sensing images with `PatchesExtraction`, | 3,416 |
rener1199/deep_memory | ['click through rate prediction'] | ['Click-Through Rate Prediction with the User Memory Network'] | model_mem.py dataset.py ctr_funcs.py config.py train_mem.py model_mem_wide_deep.py model_wide_deep.py model_dnn.py count_lines print_time cal_rmse list_flatten cal_rectified_rmse tf_read_data cal_auc get_dataset_op decode_line create_dataset roc_curve auc mean_squared_error sqrt mean_squared_error sqrt enumerate sum pop read TextLineReader decode_csv print now strftime pop int decode_csv shuffle map repeat TextLineDataset batch output_types make_initializer from_structure get_next create_dataset append output_shapes range len | # Click-Through Rate Prediction with the User Memory Network If you use this code, please cite the following paper: * **Wentao Ouyang, Xiuwu Zhang, Shukui Ren, Li Li, Zhaojie Liu, Yanlong Du. 2019. Click-Through Rate Prediction with the User Memory Network. In DLP-KDD. ACM.** #### TensorFlow (TF) version 1.3.0 #### Abbreviation ft - feature, slot == field ## Data Preparation Data is in the "csv" format, where each row contains an instance.\ Assume there are N unique fts. Fts need to be indexed from 1 to N. Use 0 for missing values or for padding. | 3,417 |
renmengye/oc-fewshot-public | ['few shot learning'] | ['Wandering Within a World: Online Contextualized Few-Shot Learning'] | fewshot/data/iterators/iterator.py fewshot/data/samplers/seq_crp_sampler.py sim/modules/vis_utils.py fewshot/models/modules/container_module.py fewshot/models/modules/proto_memory_ssl.py fewshot/models/nets/proto_net.py fewshot/models/nets/episode_recurrent_net.py fewshot/data/iterators/semisupervised_episode_iterator_tests.py fewshot/experiments/get_stats.py fewshot/experiments/utils.py fewshot/data/samplers/mix_sampler.py fewshot/models/nets/episode_recurrent_sigmoid_net.py fewshot/configs/train_config_pb2.py fewshot/data/registry.py sim/scripts/fill_depth.py sim/scripts/unzip_scans.py sim/modules/MatterSim.py sim/modules/utils.py fewshot/data/iterators/minibatch_iterator_tests.py fewshot/models/modules/gru.py fewshot/models/modules/resnet_snail_backbone.py sim/config/color_palette.py fewshot/models/registry.py fewshot/models/modules/online_classifier.py sim/config/blacklist.py fewshot/experiments/oc_fewshot.py fewshot/data/datasets/__init__.py sim/generate_dataset.py fewshot/data/preprocessors/__init__.py sim/modules/postproc_utils.py sim/modules/EpisodeHandler.py fewshot/models/modules/dnc_writehead_v2.py fewshot/configs/resnet_config_pb2.py fewshot/data/samplers/crp_sampler.py fewshot/data/preprocessors/data_augmentation_preprocessor_tests.py sim/visualization/VideoGenerator_Model.py fewshot/configs/environment_config_pb2.py fewshot/data/datasets/dataset.py fewshot/models/modules/proto_memory_min_dist_gau_ssl.py fewshot/data/datasets/uppsala.py fewshot/models/nets/online_proto_net.py fewshot/models/nets/__init__.py sim/scripts/depth_to_skybox.py fewshot/models/modules/oml.py fewshot/models/modules/resnet_gn_backbone.py sim/scripts/precompute_img_features.py fewshot/models/modules/proto_memory_min_dist_forget_ssl.py fewshot/models/nets/pretrain_net.py gpu_lock.py fewshot/models/nets/oml_trunc_net.py fewshot/experiments/get_data_iter.py fewshot/configs/protonet_config_pb2.py sim/config/zoom_params.py fewshot/models/nets/online_example_net.py fewshot/models/modules/module.py fewshot/models/modules/dnc.py fewshot/viz/plot_timestep_acc.py fewshot/configs/oml_config_pb2.py fewshot/data/samplers/semisupervised_episode_sampler.py fewshot/models/modules/lstm.py fewshot/data/samplers/hierarchical_episode_sampler.py fewshot/models/modules/example_memory.py fewshot/viz/plot_episode.py fewshot/data/samplers/minibatch_sampler.py fewshot/configs/experiment_config_pb2.py fewshot/models/nets/lstm_sigmoid_net.py fewshot/models/nets/net.py fewshot/experiments/visualize_roaming_rooms_dataset.py fewshot/data/samplers/random_sampler.py fewshot/data/iterators/episode_iterator_tests.py fewshot/data/episode_processors/__init__.py fewshot/data/samplers/seq_crp_sampler_tests.py fewshot/models/modules/layer_norm.py fewshot/models/modules/mann.py fewshot/models/model_factory.py fewshot/data/iterators/semisupervised_episode_iterator.py sim/scripts/downsize_skybox.py fewshot/configs/c4_config_pb2.py fewshot/data/preprocessors/normalization_preprocessor.py sim/modules/HabitatSim.py fewshot/experiments/oc_fewshot_hvd.py fewshot/configs/memory_net_config_pb2.py fewshot/models/modules/c4_double_backbone.py sim/config/sim_params.py fewshot/models/modules/proto_memory_min_dist_lstm_ssl.py fewshot/models/modules/c4_plus_fc_backbone.py fewshot/data/samplers/blender.py fewshot/data/samplers/crp_sampler_tests.py fewshot/experiments/run_stage_tsne.py fewshot/utils/logger.py sim/config/vis.py fewshot/data/iterators/__init__.py fewshot/models/modules/proto_memory_min_dist.py fewshot/data/datasets/tiered_imagenet.py fewshot/experiments/pretrain.py sim/visualization/generate_videos.py fewshot/configs/mann_config_pb2.py sim/visualization/VideoGenerator_Dataset.py fewshot/data/data_factory.py fewshot/data/matterport_split/create_matterport_split.py fewshot/experiments/visualize_roaming_rooms_prediction.py fewshot/models/modules/group_norm_tests.py fewshot/data/preprocessors/data_augmentation_preprocessor.py fewshot/data/episode_processors/background_processor_v2.py fewshot/models/variable_context.py fewshot/models/modules/proto_memory_min_dist_ssl.py sim/scripts/timer.py fewshot/models/modules/online_matchingnet_memory.py fewshot/data/samplers/incremental_sampler_tests.py fewshot/models/nets/episode_recurrent_sigmoid_trunc_net.py fewshot/data/episode_processors/background_processor.py fewshot/data/iterators/minibatch_iterator.py fewshot/data/iterators/sim_episode_iterator.py fewshot/models/modules/resnet_12_backbone.py fewshot/data/iterators/episode_iterator.py fewshot/data/samplers/semisupervised_episode_sampler_tests.py fewshot/experiments/run_offline.py fewshot/data/datasets/pickle_cache_dataset.py fewshot/models/nets/online_proto_sigmoid_net.py fewshot/data/preprocessors/nchw_preprocessor.py fewshot/experiments/metrics.py fewshot/data/datasets/episode.py fewshot/models/modules/proto_memory.py fewshot/experiments/build_model.py fewshot/data/samplers/hierarchical_episode_sampler_tests.py fewshot/models/modules/resmlp.py fewshot/data/metadata.py fewshot/data/samplers/sampler.py fewshot/models/modules/weight_module.py fewshot/models/nets/lstm_net.py sim/visualization/utils.py fewshot/data/preprocessors/random_box_occluder.py fewshot/data/preprocessors/sequential_preprocessor.py sim/modules/ZoomGenerator.py fewshot/data/samplers/constant_prob_sampler.py fewshot/data/samplers/fewshot_sampler.py fewshot/data/samplers/incremental_sampler.py fewshot/data/datasets/omniglot.py fewshot/data/samplers/blender_tests.py fewshot/models/modules/online_ocsvm.py fewshot/models/nets/cpm_net.py fewshot/models/modules/online_imp_memory.py fewshot/data/datasets/matterport.py fewshot/models/nets/online_classifier_net.py sim/modules/zoom_utils.py fewshot/models/modules/group_norm.py fewshot/models/modules/cpm.py fewshot/data/preprocessors/preprocessor.py sim/config/vis_model.py fewshot/configs/episode_config_pb2.py fewshot/models/modules/resnet_backbone.py fewshot/models/modules/cpm_ssl.py fewshot/models/modules/nnlib.py fewshot/models/modules/rnn_encoder.py fewshot/data/samplers/constant_prob_sampler_tests.py fewshot/models/modules/c4_backbone.py fewshot/data/compress_tiered_imagenet.py fewshot/configs/lstm_config_pb2.py fewshot/models/nets/oml_net.py fewshot/configs/optimizer_config_pb2.py fewshot/models/modules/__init__.py fewshot/models/nets/rnn_encoder_net.py fewshot/configs/hybrid_config_pb2.py fewshot/data/samplers/episode_sampler.py fewshot/models/modules/c4_gn_backbone.py fewshot/models/modules/backbone.py fewshot/data/samplers/__init__.py fewshot/models/modules/mlp.py fewshot/tests/load_checkpoint_tests.py fewshot/models/modules/roi_pooling_backbone.py obtain_lock_id_specify _lock_file board_ids _obtain_lock _launch_reaper free_lock obtain_lock_id_to_hog obtain_lock_id nvidia_gpu_stats owner_of_lock decompress main compress get_sampler get_dataset get_metadata RegisterSampler RegisterIterator RegisterDataset Dataset expand_episode merge_episodes pad Episode MatterportDataset OmniglotDataset get_image_folder get_ren_split_file read_vinyals_split read_lake_split get_vinyals_split_file PickleCacheDataset TieredImageNetDataset UppsalaDataset BackgroundProcessor BackgroundProcessorV2 EpisodeIterator EpisodeIteratorTests Iterator MinibatchIterator MinibatchIteratorTests SemiSupervisedEpisodeIterator SemiSupervisedEpisodeIteratorTests SimEpisodeIterator transform_bbox DataAugmentationPreprocessor DataAugmentationTests NCHWPreprocessor NormalizationPreprocessor Preprocessor RandomBoxOccluder SequentialPreprocessor register_blender Blender MarkovSwitchBlender BlurBlender HardBlender get_blender BlenderTests ConstantProbSampler ConstantProbSamplerTests Dataset CRPSampler CRPSamplerTests Dataset EpisodeSampler FewshotSampler HierarchicalEpisodeSampler Dataset HierarchicalEpisodeSamplerTests IncrementalSampler Dataset IncrementalSamplerTests MinibatchSampler MixSampler RandomshotSampler Sampler SemiSupervisedEpisodeSampler SemiSupervisedEpisodeSamplerTests Dataset SeqCRPSampler SeqCRPSamplerTests Dataset build_backbone build_memory_module build_fewshot_net build_net build_pretrain_net get_dataiter get_dataiter_continual get_dataiter_fewshot get_dataiter_sim get_stats log_results calc_nshot_acc calc_nshot_acc_2d calc_interval top1_acc calc_nshot calc_acc calc_acc_time_label stderr calc_nshot_ap mean label_equal topk_acc calc_acc_time calc_nshot_acc_2dv2 calc_ap calc_nshot_acc_2dv3 calc_nshot_acc_3d top1_correct main evaluate train dummy_context_mgr main top1_acc evaluate evaluate_fs stderr log_results label_equal topk_acc main train top1_correct main eval_step evaluate main evaluate visualize save_config get_config latest_file get_data_fs ExperimentLogger main evaluate train dummy_context_mgr main evaluate train dummy_context_mgr get_model get_module RegisterModule RegisterModel VariableScope VariableManager set_variable variable_scope reset_variables get_variable MANN Backbone C4Backbone ConvModule C4DoubleBackbone C4GNBackbone ConvGNModule C4PlusFCBackbone ContainerModule swish CPM swish CPMSSL DNC ResMLP swish DNCWriteHeadFeed2 ExampleMemory GroupNorm GroupNormTests LSTM1DMod GAU GRU LayerNorm StackLSTM LSTM StackResLSTM CosineLastMLP MLP Module Conv2D CosineLinear BatchNorm Linear OML OnlineClassifier OnlineLR OnlineOVRSVM OnlineIMPMemory OnlineMatchingNetMemory OnlineOCSVM ProtoMemory MinDistProtoMemory SemiSupervisedMinDistForgetProtoMemory SemiSupervisedMinDistGAUProtoMemory SemiSupervisedMinDistLSTMProtoMemory SemiSupervisedMinDistProtoMemory SemiSupervisedProtoMemory ResMLP Resnet12Backbone ResidualModule ResnetBackbone BottleneckResidualModule ResidualModule InitConvModule ResnetGNBackbone BottleneckResidualModule ResidualModule InitConvModule ResidualSnailModule ResnetSnailBackbone InitConvModule FinalConvModule RNNEncoder swish ROIPoolingBackbone WeightModule CPMTruncNet CPMNet EpisodeRecurrentNet EpisodeRecurrentSigmoidNet dummy_context_mgr EpisodeRecurrentSigmoidTruncNet dummy_context_mgr LSTMNet LSTMSigmoidNet Net OMLNet OMLSigmoidNet OMLTruncNet dummy_context_mgr OMLTruncSigmoidNet OnlineClassifierNet OnlineExampleNet OnlineProtoNet ProtoMemSigmoidTruncNet OnlineProtoSigmoidNet PretrainNet ProtoNet RNNEncoderNet main test_load_one get Logger main plot_one_episode plot_episodes read_data main_old plot_time_acc_seaborn_old plot_time_acc main plot_time_acc_seaborn setup_simulators setup_args _step_7__split_align_and_log_data setup_paths _step_5__extract_sim_history_data _step_6__multiprocess_images set_random_seed _step_1__setup_scene _step_4__filter_empty_frames main _step_2__run_simulation _step_6__process_images Episode HabitatSimAPI MatterSimAPI semantic_seg_to_binary_map compute_objects_dict get_centroid get_valid_ids change_brightness apply_attention run_connected_components zoom_in_on_img rotation_to_quaternion compute_new_dimensions compute_objects_dict generate_timestamp get_alignment_matrix get_connectivity change_brightness apply_attention bbox2centroid resize_imgs upsample_frames transform_bbox extract_elevations euler_to_quat get_valid_ids encode_to_png euler_to_quaternion crop_img_from_bbox extract_headings idx2byte run_connected_components attention2bbox decode_png_to_np make_dir log_data get_centroid softmax create_split_idxs limit_centroid_location pad_image generate_scene_to_viewpoint_map np2pt align_images quaternion_to_euler semantic_seg_to_binary_map byte2idx make_row_imgs get_valid_centroid_limits drawpoly add_text add_labels_to_img annotate_locations_on_img color_semantic_image vid2imgs toAnimation FrameAnimator VideoMaker colorize_img draw_dotted_rect imgs2vid drawline draw_bbox plot_centroid_boundary ZoomGenerator zoom_in_on_img zoom_on_object zoom_on_object__bbox instrinsic_matrix depth_to_skybox fill_joint_bilateral_filter z_to_euclid camera_parameters downsize downsizeWithMerge fill_joint_bilateral_filter load_viewpointids build_tsv read_tsv transform_img Timer main process split_processes setup_args setup_dataset setup_args EmptyBboxes setup_directories main process_episode run add_line hex2rgb add_primary_baseline_text compute_max_label_width add_legend generate_grid_bank renorm_img add_rect get_text_centering_offset add_to_base_img add_background highlight generate_instance_row add_grid_bank_baseline_text add_instance_bank_img_text EmptyBboxes GeneratorArgs VideoGenerator build_instance_lookup build_class_lookup EmptyBboxes GeneratorArgs VideoGenerator build_instance_lookup build_class_lookup glob range len exists lstat _lock_file symlink _lock_file join endswith getcwd dirname Popen _launch_reaper obtain_lock_id_to_hog getpid _obtain_lock getpid _launch_reaper _obtain_lock board_ids rename remove _lock_file str getElementsByTagName parseString lstrip toxml append float Popen tqdm imdecode save zeros enumerate decompress compress format info format info array all concat zip append max pad _train_images _test_flag _train_labels_full _test_images _train_groundtruth _train_flag _expand _train_distractor_flag _train_labels _test_labels join realpath join format dirname realpath join format dirname minimum join warpAffine str format concatenate print maximum expand_dims getRotationMatrix2D resize append imread listdir array range len resize str map getRotationMatrix2D append expand_dims imread range warpAffine format replace concatenate readlines listdir minimum join print maximum array len reshape array backbone_class roi_pooling_backbone c4_config resnet_config get_module get_model build_backbone fix_unknown oml_config nstack num_classes hybrid_config sub_memory_class memory_net_config get_module hidden_dim readout_type memory_class sub_memory_class2 startswith use_ssl_beta_gamma_write mann_config add_stage_id get_model build_backbone model_class get_model build_backbone model_class build_memory_module random_color random_crop NCHWPreprocessor DataAugmentationPreprocessor random_rotate random_flip MinibatchSampler crop_size rank MinibatchIterator NormalizationPreprocessor SequentialPreprocessor image_size NCHWPreprocessor EpisodeIterator FewshotSampler rank NormalizationPreprocessor SequentialPreprocessor use_class_hierarchy random_flip semisupervised get_blender use_new_class_hierarchy mix_class_hierarchy distractor_nquery SequentialPreprocessor nstage distractor_nway random_rotate MixSampler base_sampler crop_size rank label_ratio append random_color random_crop use_same_family HierarchicalEpisodeSampler distractor_nshot SemiSupervisedEpisodeSampler zip image_size NCHWPreprocessor RandomBoxOccluder get_sampler blender IteratorClass hierarchical DataAugmentationPreprocessor shuffle_time dict NormalizationPreprocessor array len IteratorClass MinibatchSampler rank NormalizationPreprocessor zip array calc_nshot_acc calc_acc_time_label calc_acc_time append zeros calc_ap range len fromtimestamp time format join zip len write close strftime info range open argmax argsort bool concatenate print float64 cumsum astype auc argsort shape append zeros expand_dims sum len zeros range shape arange cumsum reshape astype shape int64 max calc_ap range bool concatenate float64 astype mean append expand_dims calc_acc range zeros calc_acc range zeros calc_acc range len zeros calc_acc range len zeros calc_acc range len label_equal append sum range enumerate sum astype float32 label_equal append argmax range enumerate eval_step tqdm xrange zip append numpy len try_flush get_stats set_step xrange save open var_to_optimize try_log train_config train_step set_backbone_lr broadcast_variables set_postfix variables range max_train_steps dump format latest_file learn_rate info zip load join evaluate print error tqdm reset numpy data config fix_unknown get_stats testonly ExperimentLogger dataset open nstage build_net get_dataiter_sim set_trainable dump format results freeze_backbone pretrain save_config valonly get_config log_results tag env latest_file info zip maxlen checkpoint load join int evaluate makedirs nway usebest reset get_data_fs create_file_writer get_dataiter_continual build_pretrain_net lr_list lr_decay_steps exists len range lr_scaling top1_acc batch_size topk_acc set_postfix array range top1_acc eval_step tqdm set_postfix xrange zip zeros numpy ExperimentLogger create_file_writer batch_size get_dataiter_fewshot get_data assign evaluate_fs build_fewshot_net print get_dataiter train loo mask LogisticRegression predict_log_proba zeros argmax max range fit sum backbone num_classes RNNEncoder rnn RNNEncoderNet get_module hidden_dim print f stack join format TSNE concatenate PCA numpy scatter figure savefig annotate append xticks sum max range fit_transform yticks append keys data_folder radius_init join time format int makedirs read config_cls Merge train_fs_split test_fs_split val_fs_split get_dataset dataset data_folder glob join max join format GeneratorArgs makedirs VideoGenerator flatten process_episode setup_directories format info format info fix_unknown get_stats nstage build_net get_dataiter_sim format get_config latest_file info zip maxlen load join int evaluate print nway reset get_data_fs get_dataiter_continual build_pretrain_net realpath dirname Logger axis argmax max dtype subplot str set_title eval_step shape imshow savefig range format tight_layout float keys print text min add_patch figure Rectangle numpy array plot_one_episode range format zip restore hierarchical output nepisode plot_episodes arange plot xlabel len ylabel savefig figure legend keys enumerate arange set_yticklabels DataFrame list set_xlabel shape savefig legend gca concatenate set_xticklabels get_legend_handles_labels tight_layout set lineplot get_yticks keys print reshape set_ylabel figure get_xticks len arange set_yticklabels get_xticks DataFrame list set_xlabel axvline savefig legend gca append range format set_xticklabels tight_layout set lineplot get_yticks keys print set_ylabel figure get_legend_handles_labels array len print format read_data print plot_time_acc_seaborn_old keys plot_time_acc_seaborn MatterSimAPI HabitatSimAPI Episode join items print sort choice get_connectivity find_intersection_image_ids generate_scene_to_viewpoint_map data_root randint sample_from_viewpoints len print run_sim mode print items print list print write zip append resize_imgs enumerate flush align_images get Process items join list n_processes zip print sort resize_imgs start Queue create_split_idxs append keys enumerate len int list items print slice _step_6__multiprocess_images n_frames_save log_data multiproc ceil _step_6__process_images range len setup_simulators categories ZoomGenerator n_episodes _step_5__extract_sim_history_data start _step_1__setup_scene zoom_params _step_4__filter_empty_frames sim_params _step_2__run_simulation _step_7__split_align_and_log_data run parse_args add_argument ArgumentParser seed RandomState print make_dir values dict zip uint8 astype copy append items unique COLOR_RGB2HSV COLOR_HSV2RGB cvtColor copy where run_connected_components connectedComponentsWithStats CV_32S now defaultdict glob print write append flush enumerate print shape resize ones where cumsum list array resize cast2int uint8 astype argmax append list range cumsum array rad2deg cumsum array rad2deg get_valid_centroid_limits print dtype unique int64 astype concatenate join glob print save_sim_history_json jsonify_data encode_to_png max permute numpy zeros enumerate shape zeros enumerate shape makedirs int exp max warpPerspective copy get_alignment_matrix byte2idx repeat unique eigvals INTER_NEAREST BORDER_CONSTANT abs max load join open FlannBasedMatcher print reshape RANSAC SIFT_create dict eye findHomography append knnMatch detectAndCompute asin atan2 list quat_from_angle_axis array cos sin sqrt get_valid_limits axis copy imshow rectangle figure uint8 astype append int arange circle append drawline pop drawpoly copy copy rectangle draw_dotted_rect resize circle LINE_AA putText FONT_HERSHEY_SIMPLEX copy resize ndarray isinstance putText FONT_HERSHEY_SIMPLEX copy permute Tensor int str rel_elevation putText FONT_HERSHEY_SIMPLEX copy rel_distance rel_heading enumerate uint8 new convert astype flatten putpalette putdata VideoCapture read isOpened print append print write VideoWriter release VideoWriter_fourcc flush enumerate get FrameAnimator print animator save int min byte2idx array max idx2byte zoom_in_on_img list color_semantic_image copy byte2idx get_centroid align_imgs repeat permute append apply_attention numpy range len zoom_in_on_img list color_semantic_image copy byte2idx get_centroid align_imgs repeat permute append apply_attention numpy range len norm reshape indices dot vstack zeros double uint8 uint16 zeros_like COLOR_BGR2GRAY float64 astype cbf asfortranarray max cvtColor uint16 float64 where IMREAD_ANYDEPTH resize max camera_parameters destroyAllWindows list ones waitKey fill_joint_bilateral_filter imshow append COLORMAP_JET z_to_euclid imread range ones_like instrinsic_matrix concatenate astype set warpPerspective flip uint8 namedWindow print applyColorMap inv dot erode zeros array list concatenate print set resize append imread range camera_parameters list print set resize imread range camera_parameters list print set IMREAD_ANYDEPTH imread range camera_parameters print len transpose astype float32 zeros array Timer radians initialize reshape setBatchSize set_device Simulator set_mode_gpu Net setDiscretizedViewingAngles setCameraResolution TEST setCameraVFOV list append array range len join basename move print rmtree listdir exists enumerate Process split_processes n_processes glob enumerate zoom_pause_frac numpy add_to_base_img apply_attention _ROW_PARAMS _FONT_SCALE pause_on_zoom list all generate_grid_bank append crop_img_from_bbox range add_primary_baseline_text concatenate _TEXT_Y astype copy _TEXT_Y2 vis generate_instance_row _TEXT_X _GRID_PARAMS draw_bbox write_fps zip keys add_grid_bank_baseline_text flush enumerate int uint8 _FONT_THICKNESS write zoom_out bool vis_utils array len join n_episodes print imgs2vid zip write_video process_episode range split_path MinibatchSampler MatterportDataset data_root split_key SimEpisodeIterator join print mkdir output_dir output_root setup_dataset setup_directories lstrip tuple len int print write zip max range flush uint8 astype copy draw_bbox add_background add_text make_grid permute zip numpy add_instance_bank_img_text enumerate list make_grid min choice permute numpy array range len zeros addWeighted copy rectangle copy line copy addWeighted add_text add_rect copy zeros add_legend add_background int add_text get_text_centering_offset add_text | # oc-fewshot-public Code for our ICLR 2021 paper *Wandering Within a World: Online Contextualized Few-Shot Learning* [[arxiv](https://arxiv.org/abs/2007.04546)] ## RoamingRooms Dataset <span> <img src="img/vid1.gif" width="250"><img src="img/vid2.gif" width="250"><img src="img/vid3.gif" width="250"> </span> Although our code base is MIT licensed, the RoamingRooms dataset is not since it is derived from the Matterport3D dataset. | 3,418 |
respectableupstandinggentleman/test | ['face swapping'] | ['DeepFaceLab: Integrated, flexible and extensible face-swapping framework'] | models/Model_XSeg/Model.py mainscripts/VideoEd.py XSegEditor/QImageDB.py merger/MergerScreen/MergerScreen.py mainscripts/dev_misc.py merger/InteractiveMergerSubprocessor.py samplelib/SampleGeneratorImageTemporal.py core/leras/models/__init__.py samplelib/Sample.py core/joblib/__init__.py core/imagelib/estimate_sharpness.py core/joblib/MPFunc.py core/leras/layers/DenseNorm.py core/leras/nn.py samplelib/SampleProcessor.py core/leras/archis/__init__.py core/leras/layers/Conv2D.py core/stdex.py core/imagelib/text.py core/leras/models/PatchDiscriminator.py core/leras/__init__.py models/Model_XSeg/__init__.py core/leras/layers/DepthwiseConv2D.py core/imagelib/equalize_and_stack_square.py samplelib/__init__.py core/imagelib/sd/draw.py core/randomex.py core/joblib/MPClassFuncOnDemand.py core/leras/optimizers/__init__.py core/leras/initializers/__init__.py mainscripts/Extractor.py mainscripts/Sorter.py core/mathlib/__init__.py core/leras/optimizers/OptimizerBase.py core/imagelib/draw.py samplelib/SampleGeneratorBase.py core/leras/layers/BatchNorm2D.py core/leras/layers/ScaleAdd.py XSegEditor/QCursorDB.py models/__init__.py core/joblib/SubprocessGenerator.py DFLIMG/DFLIMG.py core/leras/layers/__init__.py models/ModelBase.py facelib/FaceEnhancer.py core/joblib/ThisThreadGenerator.py XSegEditor/QIconDB.py core/imagelib/blursharpen.py merger/MergeMasked.py core/cv2ex.py models/Model_Quick96/__init__.py main.py core/leras/archis/ArchiBase.py localization/localization.py facelib/LandmarksProcessor.py core/leras/layers/Dense.py models/Model_SAEHD/__init__.py mainscripts/Merger.py mainscripts/XSegUtil.py core/imagelib/filters.py XSegEditor/QStringDB.py core/leras/initializers/CA.py core/imagelib/__init__.py core/leras/models/ModelBase.py samplelib/SampleGeneratorFaceTemporal.py core/leras/layers/InstanceNorm2D.py facelib/S3FDExtractor.py samplelib/SampleLoader.py samplelib/SampleGeneratorFaceXSeg.py core/qtex/qtex.py DFLIMG/__init__.py core/leras/optimizers/RMSprop.py core/structex.py core/leras/layers/BlurPool.py facelib/__init__.py core/leras/archis/DeepFakeArchi.py core/imagelib/SegIEPolys.py mainscripts/FacesetEnhancer.py merger/FrameInfo.py models/Model_SAEHD/Model.py core/mplib/__init__.py samplelib/SampleGeneratorFacePerson.py merger/MergerScreen/__init__.py core/imagelib/common.py core/imagelib/sd/__init__.py core/leras/layers/AdaIN.py core/leras/layers/LayerBase.py facelib/FANExtractor.py core/leras/models/XSeg.py samplelib/SampleGeneratorFace.py merger/MergeAvatar.py core/pathex.py core/leras/layers/Conv2DTranspose.py core/qtex/QXMainWindow.py merger/__init__.py core/imagelib/morph.py core/joblib/SubprocessorBase.py mainscripts/Trainer.py samplelib/PackedFaceset.py core/mathlib/umeyama.py mainscripts/Util.py core/interact/__init__.py core/leras/layers/FRNorm2D.py core/leras/layers/Saveable.py core/leras/layers/TLU.py facelib/XSegNet.py core/mplib/MPSharedList.py core/leras/models/CodeDiscriminator.py facelib/FaceType.py XSegEditor/XSegEditor.py merger/MergerConfig.py core/leras/ops/__init__.py core/interact/interact.py core/leras/device.py core/imagelib/sd/calc.py core/imagelib/reduce_colors.py samplelib/SampleGeneratorImage.py localization/__init__.py DFLIMG/DFLJPG.py core/qtex/__init__.py core/qtex/QSubprocessor.py core/qtex/QXIconButton.py samplelib/SampleGeneratorFaceCelebAMaskHQ.py core/imagelib/warp.py core/osex.py core/imagelib/color_transfer.py models/Model_Quick96/Model.py process_dev_test process_merge process_videoed_cut_video process_train process_faceset_enhancer process_xsegeditor process_xsegapply process_xsegremove process_xsegremovelabels process_videoed_video_from_sequence process_xsegfetch process_util process_extract fixPathAction process_videoed_extract_video process_sort bad_args process_videoed_denoise_image_sequence cv2_imwrite cv2_resize cv2_imread set_process_dpi_aware get_screen_size set_process_lowest_prio get_image_paths move_all_files write_bytes_safe get_first_file_by_stem get_image_unique_filestem_paths get_all_dir_names get_file_paths delete_all_files scantree get_paths get_all_dir_names_startswith random_normal suppress_stdout_stderr struct_unpack LinearMotionBlur blursharpen _scale_array color_transfer color_transfer_idt color_transfer_mkl reinhard_color_transfer lab_image_stats linear_color_transfer channel_hist_match color_transfer_mix color_transfer_sot color_hist_match overlay_alpha_image cut_odd_image normalize_channels draw_polygon draw_rect equalize_and_stack_square compute _calculate_sharpness_metric marziliano_method get_block_contrast _simple_thinning estimate_sharpness is_edge_block sobel apply_random_motion_blur apply_random_rgb_levels apply_random_hsv_shift apply_random_bilinear_resize apply_random_gaussian_blur morphTriangle morph_by_points applyAffineTransform reduce_colors SegIEPolys SegIEPolyType SegIEPoly get_text_image draw_text_lines draw_text _get_pil_font get_draw_text_lines warp_by_params gen_warp_params dist_to_edges random_circle_faded circle_faded InteractBase InteractColab InteractDesktop MPClassFuncOnDemand MPFunc SubprocessGenerator Subprocessor ThisThreadGenerator Devices Device nn ArchiBase DeepFakeArchi CAInitializerSubprocessor initializers AdaIN BatchNorm2D BlurPool Conv2D Conv2DTranspose Dense DenseNorm DepthwiseConv2D FRNorm2D InstanceNorm2D LayerBase Saveable ScaleAdd TLU CodeDiscriminator ModelBase UNetPatchDiscriminator PatchDiscriminator XSeg dssim concat average_gv_list resize2d_bilinear flatten rgb_to_lab resize2d_nearest space_to_depth tf_gradients random_binomial style_loss gelu init_weights tf_get_value upsample2d reshape_4D batch_set_value max_pool average_tensor_list gaussian_blur depth_to_space OptimizerBase RMSprop umeyama get_power_of_two rotationMatrixToEulerAngles polygon_area ArrayFillerSubprocessor MPSharedList IndexHost Index2DHost ListHost DictHostCli DictHost QSubprocessor QDarkPalette QActionEx QSize_to_np QImage_from_np QImage_to_np QPixmap_from_np QPoint_to_np QPoint_from_np QXIconButton QXMainWindow DFLIMG DFLJPG FaceEnhancer FaceType FANExtractor blur_image_hull_mask mirror_landmarks get_face_struct_mask estimate_pitch_yaw_roll convert_98_to_68 expand_eyebrows get_rect_from_landmarks get_transform_mat draw_rect_landmarks get_cmask transform_points estimate_averaged_yaw calc_face_pitch alpha_to_color get_image_eye_mask draw_landmarks get_image_hull_mask S3FDExtractor XSegNet dev_test_68 dev_test1 dev_resave_pngs extract_vggface2_dataset extract_umd_csv dev_segmented_trash process_folder FacesetEnhancerSubprocessor extract_video video_from_sequence denoise_image_sequence cut_video remove_xseg remove_xseg_labels apply_xseg fetch_xseg FrameInfo InteractiveMergerSubprocessor MergeFaceAvatar process_frame_info MergeMasked MergeMaskedFace MergerConfigMasked MergerConfigFaceAvatar MergerConfig ScreenManager ScreenAssets Screen ModelBase PreviewHistoryWriter import_model QModel SAEHDModel XSegModel PackedFaceset Sample SampleType SampleGeneratorBase SampleGeneratorFace SampleGeneratorFaceCelebAMaskHQ MaskType SampleGeneratorFacePerson Index2DHost SampleGeneratorFaceTemporal SampleGeneratorFaceXSeg SegmentedSampleFilterSubprocessor SampleGeneratorImage SampleGeneratorImageTemporal FaceSamplesLoaderSubprocessor SampleLoader SampleProcessor QCursorDB QIconDB QImageDB QStringDB ImagePreviewSequenceBar QUIConfig QCanvasOperator LoaderQSubprocessor CanvasConfig OpMode QCanvas DragType ViewLock ColorScheme QCanvasControlsLeftBar start QCanvasControlsRightBar MainWindow PTEditMode main set_process_lowest_prio main set_process_lowest_prio unpack_faceset pack save_faceset_metadata log_info restore_faceset_metadata_folder pack_faceset save_faceset_metadata_folder restore_faceset_metadata Path input_dir unpack recover_original_aligned_filename set_process_lowest_prio add_landmarks_debug_images main set_process_lowest_prio main set_process_lowest_prio output_ext fps extract_video output_dir input_file set_process_lowest_prio audio_track_id from_time bitrate to_time cut_video input_file set_process_lowest_prio factor denoise_image_sequence set_process_lowest_prio input_dir video_from_sequence set_process_lowest_prio Path set_process_lowest_prio input_dir process_folder dev_test set_process_lowest_prio input_dir start Path set_process_lowest_prio input_dir model_dir apply_xseg Path input_dir set_process_lowest_prio Path remove_xseg set_process_lowest_prio input_dir remove_xseg_labels Path set_process_lowest_prio input_dir Path fetch_xseg set_process_lowest_prio input_dir print_help exit loader_func asarray bytearray imencode suffix shape normalize_channels resize nice SetPriorityClass HANDLE GetCurrentProcess SetProcessDPIAware user32 write_bytes parent name unlink rename exists is_dir scandir str list scandir any Path scantree exists append remove get_image_paths name stem set add verbose_print_func Path exists Path exists Path exists str list lower scandir Path startswith append exists str sorted list path lower scandir Path exists name Path rename get_file_paths unlink Path get_file_paths normal empty prod range calcsize warpAffine ones getRotationMatrix2D zeros sum medianBlur addWeighted ones zeros GaussianBlur max dtype reshape astype copy argsort shape bilateralFilter fill empty range eps T clip reshape eig dot shape sqrt cov mean diag T reshape min astype float32 empty_like solve dot shape histogram interp max range _scale_array uint8 astype float32 merge lab_image_stats COLOR_LAB2BGR cvtColor split T reshape transpose mean dot eigh eye cholesky split min max float64 astype shape unique interp ravel dtype astype shape channel_hist_match range uint8 astype float32 COLOR_BGR2LAB color_transfer_sot COLOR_LAB2BGR cvtColor uint8 color_transfer_idt color_transfer_mkl astype float32 reinhard_color_transfer linear_color_transfer color_transfer_sot clip shape repeat len shape shape range tuple line range len draw_polygon concatenate shape resize expand_dims max enumerate T convolve square mean sqrt array shape zeros float64 marziliano_method astype canny sobel gradient atan2 shape any zeros round range int exp slice get_block_contrast shape flipud round zeros is_edge_block rot90 range cvtColor COLOR_BGR2GRAY rand random clip array COLOR_HSV2BGR random merge COLOR_BGR2HSV randint clip cvtColor split LinearMotionBlur randint random randint GaussianBlur random int rand random shape resize float32 getAffineTransform float32 fillConvexPoly shape boundingRect int32 applyAffineTransform zeros expand_dims array shape morphTriangle zeros simplices fromarray uint8 convert astype COLOR_RGB2BGR array cvtColor truetype asarray Draw get_default_ttf_font_name concatenate text new _get_pil_font shape clip draw_text range len draw_text_lines zeros shape T random astype copy float32 getRotationMatrix2D dict uniform linspace random_normal warpAffine remap resize norm clip einsum concatenate norm reshape empty abs clip max random randint initializer inputs append batch_set_value run gradients expand_dims __enter__ __exit__ enumerate reduce_mean __enter__ __exit__ concat pow tanh sqrt pi as_list reshape tile transpose value resize transpose value resize transpose reshape transpose randint float32 pad make_kernel tile depthwise_conv2d gaussian_blur dtype constant arange reshape float32 square reduce_mean reducer cast softmax tile max as_list reshape transpose as_list reshape transpose constant reshape multiply matmul cast svd T ones matrix_rank mean dot eye sum diag sqrt atan2 shape Format_Grayscale8 Format_BGR888 Format_ARGB32 height reshape convertToFormat width constBits setsize range squeeze invertAffineTransform shape transform expand_dims get norm getAffineTransform polygon_area astype float32 transform_points sqrt estimate_averaged_yaw array transform_points FULL_NO_ALIGN get_transform_mat float32 array copy concatenate expand_eyebrows fillConvexPoly convexHull zeros int getStructuringElement astype fillConvexPoly MORPH_ELLIPSE convexHull dilate zeros GaussianBlur shape zeros concatenate process copy blend alpha_to_color zeros get_image_hull_mask gdf max clip int blur getStructuringElement min erode argwhere MORPH_ELLIPSE expand_dims copy draw_landmarks zeros expand_eyebrows concatenate polylines tuple shape get_image_hull_mask array circle get_transform_mat draw_rect transform_points draw_polygon draw_landmarks array array rotationMatrixToEulerAngles concatenate astype float32 pi solvePnP zeros array clip get pop get_image_paths parent log_info name stem progress_bar_generator get_all_dir_names Path mkdir run fromString split cv2_imread Path normalize_channels exists input_bool str log_info name stem append get_image_paths get_rect_from_landmarks unlink mkdir parent cv2_imwrite progress_bar_generator read_text split get str get_image_paths parent log_info name len unlink Path mkdir split log_err run range exists fromString input_bool get_image_paths progress_bar_generator get_all_dir_names Path x get_image_paths cv2_imwrite progress_bar_generator cv2_imread Path get_image_paths parent name stem rename Path mkdir append input_bool join get_image_paths log_info parent name copy unlink rmtree mkdir run update str get_image_paths parent input_str stem output get_first_file_by_stem unlink input_int mkdir Path log_err input run str suffix parent input_str stem overwrite_output input_int log_err Path input max run update str suffix parent progress_bar_generator output input_int rename log_err Path run clip enumerate suffix input_str wait input_int Path max input_bool str stem input update run_async get_image_paths close mkdir parent overwrite_output get_first_file_by_stem log_err probe load extract initialize get_image_paths log_info set_xseg_mask progress_bar_generator astype float32 get_resolution ask_choose_device shape XSegNet resize save load str get_image_paths log_info parent name has_polys progress_bar_generator copy get_seg_ie_polys mkdir load get_image_paths log_info set_xseg_mask input_str progress_bar_generator has_xseg_mask save load get_image_paths log_info input_str has_seg_ie_polys progress_bar_generator save set_seg_ie_polys warpAffine get_transform_mat astype float32 cv2_imread normalize_channels filename clip sharpen_func sharpen_mode concatenate predictor_func add_source_image process_frame_info temporal_face_count append range sharpen_amount predictor_func color_transfer_mkl motion_power bicubic_degrade_power motion_blur_power linear_color_transfer color_transfer_mix boundingRect resize reduce_colors max clip face_enhancer_func hist_match_threshold medianBlur super_resolution_power WARP_INVERSE_MAP ones LinearMotionBlur shape pad blur_mask_modifier image_denoise_power masked_hist_match blursharpen range color_hist_match BORDER_TRANSPARENT warpAffine sharpen_mode xseg_256_extract_func seamlessClone color_transfer_idt astype copy reinhard_color_transfer empty_like motion_deg INTER_CUBIC MORPH_ELLIPSE color_transfer_sot dilate GaussianBlur get_image_hull_mask NORMAL_CLONE uint8 int erode_mask_modifier getStructuringElement get_transform_mat float32 erode argwhere blursharpen_amount color_degrade_power landmarks_list concatenate astype float32 cv2_imread shape normalize_channels MergeMaskedFace filepath clip enumerate str parent cv2_imread locals __import__ globals dict setApplicationName setPalette QDarkPalette Path show str initialize log_info setWindowIcon addApplicationFont AA_EnableHighDpiScaling setStyle setFont gettempdir setAttribute QApplication path_contains app_icon MainWindow exec_ parent QFont raise_ AA_UseHighDpiPixmaps | <table align="center" border="0"> <tr><td colspan=2 align="center"> # DeepFaceLab <a href="https://arxiv.org/abs/2005.05535"> <img src="https://static.arxiv.org/static/browse/0.3.0/images/icons/favicon.ico" width=14></img> https://arxiv.org/abs/2005.05535</a> ### the leading software for creating deepfakes <img src="doc/DFL_welcome.png" align="center"> </td></tr> <tr><td colspan=2 align="center"> | 3,419 |
revsic/tf-diffwave | ['speech synthesis'] | ['DiffWave: A Versatile Diffusion Model for Audio Synthesis'] | train.py utils/noam_schedule.py dataset/ljspeech.py inference.py model/wavenet.py config.py model/__init__.py dataset/config.py dataset/__init__.py model/config.py TrainConfig load_state Config main Trainer Config LJSpeech Config Block WaveNet DilatedConv1d DiffWave NoamScheduler items list setattr hasattr data model sr mel_fn diffwave str write_wav offset skip shape iter next normal format LJSpeech DiffWave enumerate join sample_dir print makedirs expect_partial randint numpy split | # tf-diffwave (Unofficial) Tensorflow implementation of DiffWave (Zhifeng Kong et al., 2020) - DiffWave: A Versatile Diffusion Model for Audio Synthesis, Zhifeng Kong et al., 2020. [[arXiv:2009.09761](https://arxiv.org/abs/2009.09761)] ## Requirements Tested in python 3.7.3 conda environment, [requirements.txt](./requirements.txt) ## Usage To download LJ-Speech dataset, run under script. Dataset will be downloaded in '~/tensorflow_datasets' in tfrecord format. If you want to change the download directory, specify `data_dir` parameter of `LJSpeech` initializer. ```python from dataset import LJSpeech | 3,420 |
revsic/tf-neural-process | ['gaussian processes'] | ['Conditional Neural Processes'] | neural_process/module/base.py neural_process/__init__.py neural_process/module/tfutils.py neural_process/anp.py neural_process/module/attention.py gp_curves.py neural_process/np.py neural_process/cnp.py GPCurvesGenerator plot_func AttentiveNP ConditionalNP NeuralProcess MultiheadAttention uniform_attention laplace_attention Attention dotprod_attention Decoder GaussianProb Encoder dense_sequential show fill_between plot reduce_mean tile expand_dims softmax reduce_sum transpose float32 sqrt cast softmax Dense Sequential add | # tf-neural-process Tensorflow implementation of Neural Process family - Full code and experiment is based on deepmind repository [[GIT](https://github.com/deepmind/neural-processes), [LICENSE](./3RD-PARTY.md)] - This repository aims to write more generic code and split model from experiment. - Paper: 1. Conditional Neural Process [[arxiv](https://arxiv.org/abs/1807.01613)] 2. Neural Process [[arxiv](https://arxiv.org/abs/1807.01622)] 3. Attentive Neural Process [[arxiv](https://arxiv.org/abs/1901.05761)] ## Sample Jupyter notebook sample is [here](./NeuralProcess.ipynb). | 3,421 |
rexxxx1234/SAUNet-demo | ['medical image segmentation', 'semantic segmentation'] | ['SAUNet: Shape Attentive U-Net for Interpretable Medical Image Segmentation'] | radam.py data/u.py models/mynn.py lib/utils/data/distributed.py lib/nn/modules/tests/test_numeric_batchnorm.py lib/nn/modules/tests/test_sync_batchnorm.py models/GSConv.py lib/utils/data/sampler.py loss.py lib/utils/th.py lib/nn/__init__.py train.py lib/utils/data/dataloader.py misc_functions.py models/custom_functions.py lib/utils/data/__init__.py lib/utils/__init__.py test_and_pack.py models/__init__.py lib/nn/modules/batchnorm.py lib/nn/modules/unittest.py utils.py lib/utils/data/dataset.py models/models.py data/augmentations.py lib/nn/parallel/__init__.py lib/nn/modules/replicate.py vanilla_backprop.py guided_backprop.py lib/nn/modules/__init__.py lib/nn/parallel/data_parallel.py data/dataloader.py models/attention_blocks.py smoothgrad.py AttrDict.py models/adaptive_avgmax_pool.py models/norm.py config.py lib/nn/modules/comm.py data/crop_and_pad_augmentations.py models/resnet.py data/test_loader.py AttrDict assert_and_infer_cfg GuidedBackprop dice_loss ImageBasedCrossEntropyLoss2d CrossEntropyLoss2d LabelSmoothSoftmaxCE DualLoss save_class_activation_images recreate_image save_gradient_images get_positive_negative_saliency convert_to_grayscale get_example_params format_np_output preprocess_image save_image apply_colormap_on_image AdamW RAdam PlainRAdam generate_smooth_grad undo_crop visualize_result evaluate save_as_nifti round_num main resample_to_orig visualize_result mask_to_edges onehot_to_binary_edges visualize_pred eval visualize_dcm create_optimizers adjust_learning_rate preprocess main train mask_to_onehot group_weight checkpoint process_range colorEncode AverageMeter accuracy intersectionAndUnion parse_devices unique NotSupportedCliException find_recursive VanillaBackprop PaddingCenterCropTest CenterCrop RandomCrop RandomSized AdjustGamma RandomErasing AdjustHue RandomRotate PaddingCenterCrop RandomVerticallyFlip AdjustBrightness AdjustContrast RandomHorizontallyFlip AdjustSaturation FreeScale Compose RandomTranslate ComposeTest RandomSizedCrop Scale random_crop get_lbs_for_random_crop center_crop get_lbs_for_center_crop pad_nd_image_and_seg crop AC17_2DLoad LungData augment_gamma AC17Test rotate_coords_3d elastic_deform_coordinates_2 pad_nd_image scale_coords center_crop_2D_image mask_random_squares resize_image_by_padding_batched random_crop_2D_image create_random_rotation create_matrix_rotation_z_3d center_crop_2D_image_batched find_entries_in_array illumination_jitter convert_seg_image_to_one_hot_encoding_batched random_crop_3D_image convert_seg_image_to_one_hot_encoding generate_elastic_transform_coordinates resize_image_by_padding transpose_channels rotate_coords_2d uniform mask_random_square create_matrix_rotation_2d generate_noise create_matrix_rotation_x_3d convert_seg_to_bounding_box_coordinates random_crop_3D_image_batched center_crop_3D_image_batched interpolate_img get_range_val general_cc_var_num_channels random_crop_2D_image_batched elastic_deform_coordinates create_matrix_rotation_y_3d uncenter_coords center_crop_3D_image resize_multichannel_image create_zero_centered_coordinate_mesh resize_segmentation _sum_ft SynchronizedBatchNorm2d _unsqueeze_ft _SynchronizedBatchNorm SynchronizedBatchNorm1d SynchronizedBatchNorm3d SyncMaster FutureResult SlavePipe execute_replication_callbacks CallbackContext DataParallelWithCallback patch_replication_callback TorchTestCase as_numpy handy_var NumericTestCase SyncTestCase handy_var _find_bn _async_copy_stream UserScatteredDataParallel dict_gather _async_copy DictGatherDataParallel async_copy_to _get_stream user_scattered_collate mark_volatile as_variable as_numpy DataLoaderIter _set_SIGCHLD_handler default_collate _worker_manager_loop DataLoader _worker_loop ExceptionWrapper pin_memory_batch random_split ConcatDataset Subset TensorDataset Dataset DistributedSampler SubsetRandomSampler WeightedRandomSampler RandomSampler BatchSampler SequentialSampler Sampler AdaptiveAvgMaxPool2d adaptive_avgmax_pool2d pooling_factor conv1x1 SEResNetBottleneck SEBottleneck SpatialAttentionBlock _MRF convbnrelu Bottleneck conv3x3 batchnorm DualAttBlock SEModule conv2d_same numerical_gradients_2d gradient_central_diff calc_pad_same convTri compute_normal compute_normal_2 compute_grad_mag compute_single_sided_diferences t GatedSpatialConv2d HighFrequencyGatedSpatialConv2d Conv2dPad CenterBlock SegmentationModule ConvRelu SAUNet conv1x1_bn_relu SegmentationModuleBase conv3x3 conv3x3_bn_relu ModelBuilder SkipConv DecoderBlock initialize_weights Norm2d initialize_weights Norm2d ResNet resnet50 Bottleneck load_url conv3x3 resnet18 BasicBlock resnet101 batch_weighting syncbn print immutable BatchNorm2d sum tuple sigmoid mean unsqueeze softmax float type range cat ndimension percentile sum min expand_dims abs clip join save_image min makedirs join save_image apply_colormap_on_image makedirs fromarray uint8 color_map new size astype alpha_composite copy convert get_cmap uint8 transpose astype repeat expand_dims fromarray save isinstance format_np_output unsqueeze_ Variable transpose thumbnail float32 float enumerate transpose round range copy max maximum preprocess_image convert alexnet generate_gradients Variable normal_ item zeros range fromarray int uint8 size crop astype round_num max zeros_like shape resize range undo_crop str uint8 join imwrite min astype result randrange max join str print Nifti1Image eye to_filename update visualize_result synchronize AverageMeter perf_counter tqdm eval cuda visualize SegmentationModule evaluate ComposeTest print set_device LungData ModelBuilder DataLoader build_unet cuda gpu join uint8 imwrite print min astype shape max join uint8 astype imwrite update format num_class as_numpy print synchronize AverageMeter intersectionAndUnion average shape sum cuda enumerate zero_grad num_epoch lr_encoder adjust_learning_rate cuda running_lr_decoder running_lr_encoder lr_pow append update format param_groups mean item float epoch_iters time backward print max_iters AverageMeter average step segmentation_module format ckpt print save state_dict _ConvNd isinstance bias _BatchNorm modules append weight Linear group_weight Adam SGD running_lr_encoder param_groups cos lr_encoder num_epoch mask_to_onehot onehot_to_binary_edges uint8 distance_transform_edt astype pad zeros expand_dims range uint8 std concatenate print float Compose astype mask_to_edges copy mean long read_file augmentations uint32 expand_dims pixel_array UserScatteredDataParallel Compose patch_replication_callback named_parameters eval DualLoss create_optimizers len append join filter walk concatenate cumsum sort flatten argsort shape nonzero empty zeros astype unique float sum histogram copy map strip groups match func append split append randint range len append range len dtype list get_lbs_for_random_crop tuple shape pad any get_lbs_for_center_crop zeros range len pad_nd_image std min mean uniform power float max range tuple random append meshgrid range gaussian_filter len tuple astype range len list shape unique zeros enumerate list unique zeros range enumerate random append array range gaussian_filter len random array append abs max range gaussian_filter len create_matrix_rotation_z_3d reshape identity create_matrix_rotation_y_3d shape create_matrix_rotation_x_3d len reshape create_matrix_rotation_2d shape deepcopy range dtype astype map_coordinates unique zeros enumerate random gaussian_filter arange array zeros max len shape array len shape array len shape array len shape array len shape randint len shape randint len shape randint len shape randint len list ones tuple reshape shape array max list ones tuple reshape array max array array array array normal dot shape array range max deepcopy sum grey_dilation tuple min power sqrt any gaussian_gradient_magnitude append zeros abs array range gaussian_filter len pop int max lb astype extend copy argwhere append array range enumerate dtype astype unique resize zeros enumerate dtype list astype resize zeros range isinstance orig_type uniform normalvariate type list shape pad array range len randint get_range_val range copy range mask_random_square list hasattr __data_parallel_replicate__ modules enumerate len replicate data isinstance size sum modules isinstance is_tensor record_stream isinstance Sequence Mapping cuda zip len zip len device_count Stream Mapping Sequence isinstance is_tensor Mapping Sequence is_tensor isinstance Sequence Variable Mapping seed init_fn get set_num_threads _set_worker_signal_handlers collate_fn manual_seed get isinstance set_device put pin_memory_batch sum isinstance Sequence new Mapping type zip _new_shared is_tensor Mapping is_tensor isinstance Sequence SIGCHLD signal getsignal randperm sum print max_pool2d avg_pool2d cat shape pad conv2d calc_pad_same conv2d_same shape repeat Tensor cuda clone shape gradient_central_diff list reversed shape pad conv2d repeat Tensor cuda range cat remainder print numerical_gradients_2d set_trace pi sign convTri atan remainder print numerical_gradients_2d set_trace pi sign convTri atan mul numerical_gradients_2d convTri sqrt max show normal print imshow float GatedSpatialConv2d gconv MODEL getattr layer fill_ isinstance modules zero_ BatchNorm2d weight kaiming_normal load_url ResNet load_state_dict load_url ResNet load_state_dict load_url ResNet load_state_dict join format urlretrieve write makedirs | # SAUNet: Shape Attentive U-Net for Interpretable Medical Image Segmentation
**Abstract**: Medical image segmentation is a difficult but important task for many clinical operations such as cardiac bi-ventricular volume estimation. More recently, there has been a shift to utilizing deep learning and fully convolutional neural networks (CNNs) to perform image segmentation that has yielded state-of-the-art results in many public benchmark datasets. Despite the progress of deep learning in medical image segmentation, standard CNNs are still not fully adopted in clinical settings as they lack robustness and interpretability. Shapes are generally more meaningful features than solely textures of images, which are features regular CNNs learn, causing a lack of robustness. Likewise, previous works surrounding model interpretability have been focused on post hoc gradient-based saliency methods. However, gradient-based saliency methods typically require additional computations post hoc and have been shown to be unreliable for interpretability. Thus, we present a new architecture called Shape Attentive U-Net (SAUNet) which focuses on model interpretability and robustness. The proposed architecture attempts to address these limitations by the use of a secondary shape stream that captures rich shape-dependent information in parallel with the regular texture stream. Furthermore, we suggest multi-resolution saliency maps can be learned using our dual-attention decoder module which allows for multi-level interpretability and mitigates the need for additional computations post hoc. Our method also achieves state-of-the-art results on the two large public cardiac MRI image segmentation datasets of SUN09 and AC17.
**Link**: https://arxiv.org/pdf/2001.07645.pdf
If you find our work helpful, please consider citing our work:
```
| 3,422 |
rfeinman/detecting-adversarial-samples | ['density estimation'] | ['Detecting Adversarial Samples from Artifacts'] | detect/util.py scripts/craft_adv_samples.py detect/attacks.py scripts/train_model.py scripts/detect_adv_samples.py fast_gradient_sign_method saliency_map_method basic_iterative_method fgsm get_mc_predictions score_point train_lr get_deep_representations get_data get_noisy_samples normalize get_model flip compute_roc score_samples main craft_one_type main main to_float softmax_cross_entropy_with_logits gradients reduce_max inputs reduce_sum sign reduce_mean clip_by_value stop_gradient equal model batch_eval float32 placeholder fgsm minimum list defaultdict model print predict_classes f batch_eval float32 placeholder set maximum add tqdm fgsm zeros range int list generate_np zeros_like choice tqdm other_classes zeros argmax range SaliencyMapMethod len print reshape transpose to_categorical astype call shape load_data loadmat Sequential add shape reshape copy choice minimum normal zeros_like maximum warn flip range len list value function tqdm append range predict int value function ceil zeros float range join asarray close map Pool concatenate scale len transpose fit concatenate show plot concatenate xlabel roc_curve ylabel title figure legend auc asarray basic_iterative_method evaluate print saliency_map_method fast_gradient_sign_method save set_learning_phase set_session load_model evaluate print batch_size craft_one_type close get_data attack dataset Session warn predict_classes get_noisy_samples normalize range compute_roc get_deep_representations mean zip load fit train_lr score_samples len save get_model compile | # Detecting Adversarial Samples from Artifacts This repository contains the code for the paper [Detecting Adversarial Samples from Artifacts](https://arxiv.org/abs/1703.00410) (Feinman et al., 2017). ## Requirements & Setup This code repository requires Keras > 2.0 and TensorFlow. Keras must be configured to use TensorFlow backend. A full list of requirements can be found in `requirements.txt`. To install, run the following command to clone the repository into a folder of your choice: git clone https://github.com/rfeinman/detecting-adversarial-samples.git | 3,423 |
rguo12/network-deconfounder-wsdm20 | ['causal inference'] | ['Learning Individual Causal Effects from Networked Observational Data'] | preproc.py res_mean.py models/netdeconf.py utils.py preproc_flickr_clean.py main.py train eva prepare wasserstein sparse_mx_to_torch_sparse_tensor pdist load_data normalize GCN_DECONF int GCN_DECONF permutation normalize todense LongTensor sparse_mx_to_torch_sparse_tensor squeeze Adam path parameters load_data tr Tensor time normy wasserstein model backward print zero_grad where step loss extrastr str writer normy model print writerow where mean sqrt eval tr dataset abs loss open data FloatTensor Size astype float32 from_numpy shape int64 cuda diags flatten dot sum array loadmat exp dropout ones squeeze matmul mean shape t pdist sum cuda range cat detach sum size mm expand t float abs | # network-deconfounder-wsdm20 Code for the WSDM '20 paper, [Learning Individual Causal Effects from Networked Observational Data](https://arxiv.org/abs/1906.03485). **First Work on Causal Effect Estimation Based on Graph Convolutional Neural Networks** For now, please cite the WSDM version if you find this paper/repository is helpful. ``` @inproceedings{guo2020learning, title={Learning Individual Causal Effects from Networked Observational Data}, author={Guo, Ruocheng and Li, Jundong and Liu, Huan}, booktitle={Proceedings of the 13th International Conference on Web Search and Data Mining}, pages={232--240}, | 3,424 |
ricardobnjunior/OctHU-PageScan | ['semantic segmentation'] | ['A Fast Fully Octave Convolutional Neural Network for Document Image Segmentation'] | RUN_OctHU-PageScan.py octLayers.py residual_functions.py octUpsize octActivation octBatchNorm octPooling octLambda octLambda_second_type add_common_layers grouped_convolution residual_block oct_BatchNormalization dice_coef_loss octHu_PageScan main generator_batch dice_coef randint str append range concatenate add_common_layers grouped_convolution format replace print reshape astype IMREAD_GRAYSCALE resize append imread range len flatten sum octUpsize octPooling Model summary Input compile seed EarlyStopping octHu_PageScan shuffle CSVLogger fit_generator generator_batch SaveImageCallback summary append ModelCheckpoint len | # A Fast Fully Octave Convolutional Neural Network for Document Image Segmentation This is an implementation of OctHU-PageScan on Python 3, Keras, Tensorflow and keras-octave-conv. The training dataset is the CDPhotoDataset and DTDDataset. The proposed model is based on Octave Convolutions to qualify the method to situations where storage, processing, and time resources are limited, such as in mobile and robotic applications. Informations for training: - Architecture used: OctHU-PageScan - Input Image Dimensions: 512x512 (gray scale - 1 channel) - Learning Rate: 0.0001 - Mini-batches size: 4 - Dimensions Output Image: 512x512 (binaeized - 1 channel) | 3,425 |
richard-UMD/Unity-ml-agents | ['unity'] | ['Unity: A General Platform for Intelligent Agents'] | ml-agents/mlagents/envs/communicator_objects/environment_parameters_proto_pb2.py ml-agents/tests/trainers/test_trainer_controller.py ml-agents/mlagents/trainers/buffer.py ml-agents/mlagents/envs/communicator_objects/unity_rl_initialization_input_pb2.py ml-agents/mlagents/envs/communicator_objects/brain_parameters_proto_pb2.py ml-agents/tests/envs/test_envs.py ml-agents/mlagents/envs/communicator_objects/__init__.py ml-agents/mlagents/envs/rpc_communicator.py ml-agents/mlagents/trainers/ppo/__init__.py gym-unity/gym_unity/envs/__init__.py ml-agents/mlagents/envs/communicator_objects/agent_action_proto_pb2.py ml-agents/mlagents/trainers/learn.py gym-unity/gym_unity/envs/unity_env.py ml-agents/mlagents/trainers/bc/trainer.py ml-agents/mlagents/trainers/policy.py ml-agents/mlagents/envs/communicator_objects/unity_rl_initialization_output_pb2.py ml-agents/tests/trainers/test_curriculum.py ml-agents/mlagents/trainers/meta_curriculum.py ml-agents/mlagents/trainers/curriculum.py ml-agents/mlagents/trainers/ppo/models.py ml-agents/mlagents/envs/communicator_objects/space_type_proto_pb2.py ml-agents/mlagents/envs/communicator_objects/unity_output_pb2.py ml-agents/mlagents/envs/communicator_objects/unity_input_pb2.py gym-unity/gym_unity/__init__.py ml-agents/mlagents/trainers/ppo/policy.py ml-agents/mlagents/envs/communicator_objects/engine_configuration_proto_pb2.py ml-agents/mlagents/envs/communicator_objects/brain_type_proto_pb2.py ml-agents/mlagents/envs/socket_communicator.py gym-unity/setup.py ml-agents/mlagents/trainers/trainer_controller.py ml-agents/mlagents/envs/communicator_objects/agent_info_proto_pb2.py ml-agents/mlagents/envs/communicator_objects/unity_to_external_pb2_grpc.py ml-agents/tests/trainers/test_ppo.py ml-agents/mlagents/envs/brain.py ml-agents/mlagents/trainers/bc/policy.py ml-agents/tests/trainers/test_bc.py ml-agents/tests/mock_communicator.py ml-agents/mlagents/envs/communicator_objects/unity_message_pb2.py ml-agents/mlagents/trainers/models.py ml-agents/mlagents/trainers/__init__.py ml-agents/mlagents/envs/communicator_objects/resolution_proto_pb2.py ml-agents/mlagents/envs/communicator_objects/unity_to_external_pb2.py ml-agents/mlagents/envs/communicator_objects/unity_rl_input_pb2.py ml-agents/tests/trainers/test_buffer.py ml-agents/mlagents/trainers/trainer.py ml-agents/mlagents/envs/communicator.py ml-agents/setup.py ml-agents/mlagents/envs/communicator_objects/unity_rl_output_pb2.py ml-agents/mlagents/envs/__init__.py ml-agents/mlagents/trainers/bc/__init__.py gym-unity/tests/test_gym.py ml-agents/mlagents/envs/exception.py ml-agents/mlagents/envs/environment.py ml-agents/mlagents/trainers/bc/models.py ml-agents/mlagents/envs/communicator_objects/command_proto_pb2.py ml-agents/mlagents/trainers/exception.py ml-agents/tests/trainers/test_meta_curriculum.py ml-agents/mlagents/trainers/ppo/trainer.py ml-agents/mlagents/envs/communicator_objects/header_pb2.py UnityGymException UnityEnv test_gym_wrapper test_multi_agent BrainInfo BrainParameters Communicator UnityEnvironment UnityException UnityTimeOutException UnityEnvironmentException UnityActionException RpcCommunicator UnityToExternalServicerImplementation SocketCommunicator UnityToExternalServicer UnityToExternalStub add_UnityToExternalServicer_to_server BufferException Buffer Curriculum CurriculumError MetaCurriculumError TrainerError main run_training MetaCurriculum LearningModel Policy UnityPolicyException UnityTrainerException Trainer TrainerController BehavioralCloningModel BCPolicy BehavioralCloningTrainer PPOModel PPOPolicy PPOTrainer get_gae discount_rewards MockCommunicator test_initialization test_reset test_close test_step test_handles_bad_filename test_dc_bc_model test_cc_bc_model test_visual_cc_bc_model test_bc_policy_evaluate dummy_config test_visual_dc_bc_model assert_array test_buffer location default_reset_parameters test_init_curriculum_bad_curriculum_raises_error test_init_curriculum_happy_path test_increment_lesson test_get_config test_init_meta_curriculum_happy_path test_increment_lessons_with_reward_buff_sizes default_reset_parameters MetaCurriculumTest test_increment_lessons measure_vals reward_buff_sizes test_set_all_curriculums_to_lesson_num test_get_config test_set_lesson_nums test_init_meta_curriculum_bad_curriculum_folder_raises_error more_reset_parameters test_rl_functions test_ppo_model_dc_vector_curio test_ppo_model_dc_vector_rnn test_ppo_model_cc_vector_rnn test_ppo_policy_evaluate test_ppo_model_cc_visual dummy_config test_ppo_model_dc_vector test_ppo_model_dc_visual test_ppo_model_cc_visual_curio test_ppo_model_dc_visual_curio test_ppo_model_cc_vector_curio test_ppo_model_cc_vector test_initialization test_initialize_trainers dummy_bc_config dummy_bad_config dummy_config dummy_start test_load_config sample step MockCommunicator UnityEnv step MockCommunicator UnityEnv method_handlers_generic_handler add_generic_rpc_handlers start_learning int str TrainerController int Process getLogger print start info append randint docopt range list zeros_like size reversed range asarray tolist discount_rewards UnityEnvironment close MockCommunicator UnityEnvironment close MockCommunicator reset str local_done print agents step close reset MockCommunicator UnityEnvironment len UnityEnvironment close MockCommunicator reset_default_graph close reset_default_graph reset_default_graph reset_default_graph reset_default_graph flatten list range len get_batch Buffer assert_array append_update_buffer make_mini_batch append reset_agent array range Curriculum Curriculum Curriculum MetaCurriculum assert_has_calls MetaCurriculumTest increment_lessons assert_called_with MetaCurriculumTest increment_lessons assert_called_with assert_not_called MetaCurriculumTest set_all_curriculums_to_lesson_num MetaCurriculumTest dict update MetaCurriculumTest reset_default_graph reset_default_graph reset_default_graph reset_default_graph reset_default_graph reset_default_graph reset_default_graph reset_default_graph reset_default_graph reset_default_graph reset_default_graph assert_array_almost_equal array discount_rewards TrainerController | <img src="docs/images/unity-wide.png" align="middle" width="3000"/> <img src="docs/images/image-banner.png" align="middle" width="3000"/> # Unity ML-Agents Toolkit (Beta) **The Unity Machine Learning Agents Toolkit** (ML-Agents) is an open-source Unity plugin that enables games and simulations to serve as environments for training intelligent agents. Agents can be trained using reinforcement learning, imitation learning, neuroevolution, or other machine learning methods through a simple-to-use Python API. We also provide implementations (based on TensorFlow) of state-of-the-art algorithms to enable game developers and hobbyists to easily train intelligent agents for 2D, 3D and VR/AR games. These trained agents can be | 3,426 |
richoux/LearningCostFunctions | ['combinatorial optimization'] | ['Learning Interpretable Error Functions for Combinatorial Optimization Problem Modeling'] | explored/eigen/scripts/relicense.py explored/eigen/debug/gdb/__init__.py explored/eigen/debug/gdb/printers.py EigenQuaternionPrinter lookup_function register_eigen_printers build_eigen_dictionary EigenMatrixPrinter update append strip_typedefs search tag target type | # How to: ## Compile the main program to learn Error Functions `$> cd learn_cp` `$> ./compilation/compile_learn_cp.sh` <br> ## Run the main program to learn Error Functions /\* in learn_cp folder \*/ `$> ./bin/learn_cf_cp (and many options, type -h first to have them)` ### For instance | 3,427 |
rickyHong/CRNN-Tensorflow-Text-repl | ['optical character recognition', 'scene text recognition'] | ['An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition'] | local_utils/establish_char_dict.py global_configuration/__init__.py local_utils/log_utils.py tools/test_shadownet.py crnn_model/__init__.py global_configuration/config.py tools/train_shadownet.py local_utils/__init__.py tools/write_text_features.py tools/demo_shadownet.py tools/__init__.py data_provider/data_provider.py data_provider/base_data_provider.py crnn_model/cnn_basenet.py data_provider/__init__.py crnn_model/crnn_model.py local_utils/data_utils.py CNNBaseModel ShadowNet Dataset TextDataset TextDataProvider TextFeatureWriter TextFeatureIO TextFeatureReader FeatureIO CharDictBuilder init_logger recognize init_args init_args test_shadownet train_shadownet init_args init_args write_tfrecords join setFormatter getLogger addHandler getcwd WARNING StreamHandler Formatter dirname TimedRotatingFileHandler setLevel makedirs add_argument ArgumentParser ShadowNet ctc_beam_search_decoder TextFeatureIO tuple astype float32 placeholder IMREAD_COLOR ConfigProto GPU_MEMORY_FRACTION Saver resize TF_ALLOW_GROWTH imread INPUT_SIZE Session ctc_beam_search_decoder read_features Saver Session ShadowNet BATCH_SIZE ones SEQ_LENGTH cast ceil TF_ALLOW_GROWTH tf_record_iterator ConfigProto batch join int reader GPU_MEMORY_FRACTION shuffle_batch ctc_beam_search_decoder read_features localtime Saver LR_DECAY_STEPS exponential_decay Session str ShadowNet BATCH_SIZE LR_DECAY_RATE ones ctc_loss get_collection merge_all strftime EPOCHS SEQ_LENGTH cast LEARNING_RATE TF_ALLOW_GROWTH format close FileWriter ConfigProto join time reader Variable graph add_graph edit_distance GPU_MEMORY_FRACTION reduce_mean UPDATE_OPS int32 shuffle_batch scalar makedirs join print write_char_dict TextFeatureIO reduce labels map set union images map_ord_to_index dirname write_features imagenames read_char_dict keys makedirs | # CRNN_Tensorflow Use tensorflow to implement a Deep Neural Network for scene text recognition mainly based on the paper "An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition".You can refer to their paper for details http://arxiv.org/abs/1507.05717. Thanks for the author [Baoguang Shi](https://github.com/bgshih). This model consists of a CNN stage, RNN stage and CTC loss for scene text recognition task. ## Installation This software has mostly been tested on Ubuntu 16.04(x64) using python3.5 and tensorflow 1.3.0 with cuda-8.0, cudnn-6.0 and a GTX-1070 GPU. Other versions of tensorflow have not been tested but might work properly above version 1.0. The following methods are provided to install dependencies: ## Docker There are Dockerfiles inside the folder `docker`. Follow the instructions inside `docker/README.md` to build the images. ## Conda You can create a conda environment with the required dependencies using: | 3,428 |
rickyHong/ClariNet-WaveNet-repl | ['speech synthesis'] | ['ClariNet: Parallel Wave Generation in End-to-End Text-to-Speech'] | preprocessing.py train.py data.py synthesize_student.py wavenet_iaf.py wavenet.py train_student.py synthesize.py modules.py loss.py _pad collate_fn_synthesize _pad_2d collate_fn LJspeechDataset KL_gaussians sample_from_gaussian gaussian_loss GaussianLoss ResBlock STFT KL_Loss Conv ExponentialMovingAverage _process_utterance preprocess build_from_path write_metadata load_checkpoint build_model load_checkpoint build_student build_model evaluate build_model load_checkpoint save_checkpoint train clone_as_averaged_model synthesize evaluate build_model load_checkpoint build_student load_teacher_checkpoint save_checkpoint train clone_as_averaged_model Wavenet Wavenet_Student Wavenet_Flow pad contiguous array append randint tensor max range len max contiguous append tensor array range len pow clamp transpose exp exp clamp transpose Normal sample pow clamp exp ProcessPoolExecutor load join T astype float32 maximum pad log10 save max clip len build_from_path write_metadata makedirs print sum max Wavenet print format load load_state_dict Wavenet_Student build_model clone named_parameters load_state_dict to state_dict update data time format collect criterion model param_groups backward print clip_grad_norm_ zero_grad len named_parameters parameters step enumerate format criterion print eval model_ema enumerate clone_as_averaged_model join format clone_as_averaged_model model_name save state_dict join requires_grad data build_model named_parameters model_name save to register build_student model_t upsample Normal criterion_frame criterion_t model_s size new_zeros eval sample stft new_ones array criterion_t model_t detach stft upsample size model_s_ema new_zeros Normal new_ones criterion_frame sample array write_wav format time teacher_name print synchronize size upsample new_zeros eval Normal new_ones model_name numpy sample sample_path enumerate clone_as_averaged_model teacher_name teacher_name build_student print format load load_state_dict | # ClariNet A Pytorch Implementation of ClariNet (Mel Spectrogram --> Waveform) # Requirements PyTorch 0.4.0 & python 3.6 & Librosa # Examples #### Step 1. Download Dataset - LJSpeech : [https://keithito.com/LJ-Speech-Dataset/](https://keithito.com/LJ-Speech-Dataset/) #### Step 2. Preprocessing (Preparing Mel Spectrogram) `python preprocessing.py --in_dir ljspeech --out_dir DATASETS/ljspeech` #### Step 3. Train Gaussian Autoregressive WaveNet (Teacher) | 3,429 |
rickyHong/Conv-RNN-repl | ['audio classification'] | ['Convolutional RNN: an Enhanced Model for Extracting Features from Sequential Data'] | CRNN.py crnn | TensorFlow (v1.0) code for the paper "Convolutional RNN: an Enhanced Model for Extracting Features from Sequential Data" (https://arxiv.org/abs/1602.05875) by Gil Keren and Björn Schuller. For any questions feel free to contact: [email protected] | 3,430 |
rickyHong/GANomaly-repl | ['semi supervised anomaly detection', 'anomaly detection'] | ['GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training'] | train.py lib/model.py lib/evaluate.py lib/loss.py lib/networks.py options.py lib/visualizer.py lib/data.py Options get_mnist_anomaly_dataset get_cifar_anomaly_dataset load_data get_mnist2_anomaly_dataset roc auprc evaluate l2_loss l1_loss Ganomaly Decoder Encoder NetD NetG weights_init Visualizer MNIST int get_cifar_anomaly_dataset format Compose get_mnist2_anomaly_dataset CIFAR10 dataset anomaly_class get_mnist_anomaly_dataset seed int arange concatenate shuffle copy array len seed int arange clone shuffle from_numpy cat len from_numpy clone cat join plot xlabel roc_curve close ylabel dict ylim title savefig figure brentq legend xlim auc average_precision_score normal_ __name__ fill_ | # GANomaly This repository contains PyTorch implementation of the following paper: GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training [[1]](#reference) ## Table of Contents - [GANomaly](#ganomaly) - [Table of Contents](#table-of-contents) - [Prerequisites](#prerequisites) - [Experiment](#experiment) - [Training](#training) - [Training on MNIST](#training-on-mnist) - [Training on CIFAR10](#training-on-cifar10) | 3,431 |
rickyHong/PSPNet-tensorflow-repl | ['scene parsing', 'semantic segmentation'] | ['Semantic Understanding of Scenes through the ADE20K Dataset'] | train.py network.py tools.py inference.py evaluate.py image_reader.py model.py load main get_arguments read_images_from_disk ImageReader image_scaling read_labeled_image_list random_crop_and_pad_image_and_labels image_mirroring load main get_arguments save PSPNet50 PSPNet101 layer Network load_img decode_labels preprocess prepare_label read_labelcolours load main get_arguments save add_argument ArgumentParser print restore format crop_to_bounding_box where set_shape add_n Saver flipped_eval gather argmax decode_image Session run open checkpoints global_variables PSPNet squeeze resize_bilinear placeholder add shape streaming_mean_iou cast expand_dims get_arguments format get_checkpoint_state preprocess flip_left_right ConfigProto trange local_variables_initializer load int join constant not_equal print reshape model_checkpoint_path read_file int32 global_variables_initializer split less stack boolean_mask reverse to_float resize_images to_int32 squeeze multiply stack random_uniform resize_nearest_neighbor expand_dims pad_to_bounding_box random_crop concat maximum shape cast set_shape append join split open image_scaling concat image_mirroring read_file cast random_crop_and_pad_image_and_labels decode_png decode_jpeg split print join makedirs decode_labels save_dir imsave img_path load_img makedirs shape loadmat constant one_hot reshape matmul read_labelcolours format print exit read_file isfile decode_png decode_jpeg pad_to_bounding_box concat cast expand_dims split set_random_seed save list num_classes less_equal get_collection map scalar_mul range num_steps start_queue_runners sparse_softmax_cross_entropy_with_logits stack random_seed power time learning_rate PSPNet101 snapshot_dir request_stop Coordinator reduce_mean pow UPDATE_OPS prepare_label | # PSPNet_tensorflow ## Introduction This is an implementation of PSPNet in TensorFlow for semantic segmentation on the [cityscapes](https://www.cityscapes-dataset.com/) dataset. We first convert weight from [Original Code](https://github.com/hszhao/PSPNet) by using [caffe-tensorflow](https://github.com/ethereon/caffe-tensorflow) framework. ## Update: ## News (2018.11.08 updated): Now you can try PSPNet on your own image online using [ModelDepot live demo](https://modeldepot.io/hellochick/pspnet)! #### 2018/01/24: 1. `Support evaluation code for ade20k dataset` #### 2018/01/19: | 3,432 |
rickyHong/segan-pytorch-repl | ['speech enhancement'] | ['SEGAN: Speech Enhancement Generative Adversarial Network', 'Whispered-to-voiced Alaryngeal Speech Conversion with Generative Adversarial Networks', 'Language and Noise Transfer in Speech Enhancement Generative Adversarial Network'] | clean.py train.py segan/models/__init__.py select_speakers.py segan/utils.py segan/models/modules.py segan/datasets/se_dataset.py segan/models/core.py segan/models/ops.py segan/models/generator.py segan/models/spectral_norm.py segan/models/model.py segan/datasets/__init__.py eval_noisy_performance.py segan/datasets/vc_dataset.py segan/models/discriminator.py segan/__init__.py main ArgParser main txt_clean_file main CompositeEval wss llr SSNR composite_helper eval_composite Additive lpcoeff ComposeAdditive denormalize_wave_minmax make_divN PESQ pre_emphasize abs_normalize_wave_minmax slice_index_helper abs_short_normalize_wave_minmax de_emphasize slice_signal_index SEDataset RandomChunkSEF0Dataset collate_fn SEH5Dataset slice_signal dynamic_normalize_wave_minmax normalize_wave_minmax RandomChunkSEDataset varlen_wav_collate VCDataset Conv1DResBlock pos_code LayerNorm Model Saver Discriminator Generator GSkip Generator1D wsegan_weights_init weights_init SEGAN AEWSEGAN WSEGAN z_dropout GConv1DBlock CombFilter sinc PostProcessingCombNet SincConv ResARModule GDeconv1DBlock ResBlock1D flip build_norm_layer make_optimizer F0Evaluator compute_MAE KLD select_voiced get_grads compute_accuracy convert_wav SpectralNorm l2normalize soundfile load_pretrained synthesis_path cuda pre_emphasize basename view default_timer test_files generate WSEGAN format glob eval normalize_wave_minmax g_pretrained_ckpt enumerate join read preemph print write SEGAN len load clean_wavs CompositeEval test_wavs sum close mean append logfile open DataLoader SEH5Dataset l1_dec_step noisy_trainset l1_dec_epoch seed aewsegan h5_data_root SEDataset MSELoss save_freq AEWSEGAN to manual_seed_all wsegan l1_weight clean_trainset manual_seed clean_valset noisy_valset h5 d_pretrained_ckpt train zeros size CompositeEval reshape name getcwd write NamedTemporaryFile split run int min cos pi log10 linspace round append sum max range wss sorted llr min SSNR PESQ trim_mos mean float round len cos pi floor linspace abs round log max fft list exp ones log10 ceil append sum range concatenate int reshape zeros array int T squeeze cos pi range dot lpcoeff floor linspace append round log list ones append zeros sum array range append default_collate append int array range load int range append max abs astype int32 min astype int32 float max reshape concatenate zeros range zeros FloatTensor enumerate len exp arange size transpose cos is_cuda unsqueeze item zeros to range sin data fill_ print named_parameters xavier_uniform_ normal_ __name__ data print named_parameters xavier_uniform_ __name__ eval train __name__ spectral_norm size view contiguous ones pi sin to flip cat items format view print cat enumerate StepLR Adam RMSprop print exp size abs read_aco_file int16 name interpolation min iinfo astype write NamedTemporaryFile wav2aco exists | # Speech Enhancement Generative Adversarial Network in PyTorch ### Requirements ``` SoundFile==0.10.2 scipy==1.1.0 librosa==0.6.1 h5py==2.8.0 numba==0.38.0 torch==0.4.1 matplotlib==2.2.2 | 3,433 |
riron1206/candlestick_model | ['stock market prediction'] | ['Using Deep Learning Neural Networks and Candlestick Chart Representation to Predict Stock Market'] | code/config/param_2day_label_small_trainable85.py code/config/param_2day_label_trainable125.py GitHub/mplfinance/tests/conftest.py GitHub/mplfinance/setup.py code/tf_base_class_all_data_2day_label_binary.py code/make_candlestick.py GitHub/mplfinance/examples/original_flavor/longshort.py GitHub/mplfinance/src/mplfinance/original_flavor.py code/config/param_2day_label_small_trainable65.py code/post_my_slack.py code/config/param_2day_label.py GitHub/mplfinance/examples/scratch_pad/tplot.py code/tf_base_class_all_data_binary.py GitHub/mplfinance/examples/original_flavor/date_demo1.py GitHub/mplfinance/examples/original_flavor/finance_work2.py GitHub/mplfinance/src/mplfinance/_styledata/__init__.py GitHub/mplfinance/tests/original_flavor/test_finance_work2.py GitHub/mplfinance/tests/original_flavor/test_date_demo2.py GitHub/mplfinance/src/mplfinance/_styledata/mike.py GitHub/mplfinance/src/mplfinance/_styledata/yahoo.py GitHub/mplfinance/tests/test_renko.py GitHub/mplfinance/tests/original_flavor/test_date_demo1.py code/config/param_2day_label_trainable85.py code/model_paper.py GitHub/mplfinance/src/mplfinance/plotting.py GitHub/mplfinance/src/mplfinance/_mpf_warnings.py GitHub/mplfinance/tests/test_exceptions.py code/make_dataset.py code/config/param_2day_label_small.py GitHub/mplfinance/src/mplfinance/_styledata/classic.py GitHub/mplfinance/src/mplfinance/_styledata/checkers.py code/tf_base_class_all_data_2day_label_small.py code/config/param_2day_label_trainable105.py GitHub/mplfinance/tests/original_flavor/test_plot_day_summary_oclh_demo.py code/config/test/test.py code/config/param_positive_negative_line_label.py GitHub/mplfinance/tests/original_flavor/test_finance_demo.py code/config/test/param_tmp.py GitHub/mplfinance/src/mplfinance/_utils.py code/tf_predict_best_model.py code/config/param_2day_label_small_trainable45.py GitHub/mplfinance/doc/source/conf.py GitHub/mplfinance/examples/original_flavor/date_demo2.py code/config/param_2day_label_small_trainable105.py GitHub/mplfinance/src/mplfinance/_version.py code/tf_base_class_all_data.py GitHub/mplfinance/examples/original_flavor/plot_day_summary_oclh_demo.py GitHub/mplfinance/src/mplfinance/_arg_validators.py GitHub/mplfinance/src/mplfinance/_styledata/blueskies.py code/tf_base_class_all_data_2day_label.py code/config/param_2day_label_small_trainable125.py code/tf_base_class_all_data_small.py code/tf_base_class_all_data_positive_negative_line_label.py GitHub/mplfinance/examples/scratch_pad/rcp_to_df.py GitHub/mplfinance/examples/scratch_pad/rcpars.py GitHub/mplfinance/src/mplfinance/_styledata/sas.py code/config/param_2day_label_trainable65.py GitHub/mplfinance/tests/test_pnf.py GitHub/mplfinance/tests/original_flavor/test_longshort.py GitHub/mplfinance/src/mplfinance/_styledata/brasil.py code/config/param_2day_label_small_trainable25.py GitHub/mplfinance/src/mplfinance/_styledata/nightclouds.py GitHub/mplfinance/src/mplfinance/_styledata/binance.py GitHub/mplfinance/src/mplfinance/_styles.py GitHub/mplfinance/tests/test_addplot.py GitHub/mplfinance/src/mplfinance/_styledata/starsandstripes.py GitHub/mplfinance/src/mplfinance/_styledata/default.py code/config/param_2day_label_trainable45.py GitHub/mplfinance/examples/original_flavor/finance_demo.py GitHub/mplfinance/src/mplfinance/_styledata/charles.py GitHub/mplfinance/src/mplfinance/__init__.py get_positive_negative_line_label_df get_args gen_file_name make_mav_candlestick_mplfinance get_2day_label_df daterange get_code_prices main get_binary_label_df table_to_df get_label_df make_candlestick_mplfinance _equalize_label_size get_args make_ts_dataset_train_val_test make_ts_dataset_train_test create_paper_cnn post_filter_df_2day_label post_filter_df_positive_negative_line_label post_slack Objective train_directory get_class_fine_tuning_parameter_base OptunaCallback pred_directory Objective get_args train_directory OptunaCallback pred_directory Objective train_directory get_class_fine_tuning_parameter_base OptunaCallback pred_directory Objective get_args train_directory OptunaCallback pred_directory Objective train_directory get_class_fine_tuning_parameter_base OptunaCallback pred_directory Objective get_args train_directory OptunaCallback pred_directory Objective train_directory get_class_fine_tuning_parameter_base OptunaCallback pred_directory Predict get_args get_class_fine_tuning_parameter_base get_class_fine_tuning_parameter_base get_class_fine_tuning_parameter_base get_class_fine_tuning_parameter_base get_class_fine_tuning_parameter_base get_class_fine_tuning_parameter_base get_class_fine_tuning_parameter_base get_class_fine_tuning_parameter_base get_class_fine_tuning_parameter_base get_class_fine_tuning_parameter_base get_class_fine_tuning_parameter_base get_class_fine_tuning_parameter_base get_class_fine_tuning_parameter_base get_class_fine_tuning_parameter_base get_class_fine_tuning_parameter_base price relative_strength moving_average moving_average_convergence MyLocator rcParams_to_df candlestick2_ohlc plot_day_summary2_ochl _candlestick _plot_day_summary candlestick_ohlc volume_overlay2 volume_overlay3 plot_day_summary2_ohlc candlestick_ochl candlestick2_ochl volume_overlay index_bar _check_input plot_day_summary_oclh plot_day_summary_ohlc _valid_addplot_kwargs plot with_rc_context _valid_plot_kwargs make_addplot rcParams_to_df _warn_no_xgaps_deprecated _list_of_dict _kwarg_not_implemented _mav_validator _bypass_kwarg_validation _check_and_prepare_data _process_kwargs _validate_vkwargs_dict _apply_mpfstyle make_mpf_style _valid_mpf_color_spec make_marketcolors available_styles _valid_make_mpf_style_kwargs _valid_make_marketcolors_kwargs _get_mpfstyle _construct_candlestick_collections _construct_ohlc_collections combine_adjacent _construct_renko_collections _construct_pointnfig_collections _updown_colors _calculate_atr roundTime IntegerIndexDateTimeFormatter _valid_renko_kwargs coalesce_volume_dates _valid_pointnfig_kwargs _check_input _validate_style bolldata percentB_belowzero test_addplot03 percentB_aboveone test_addplot01 test_addplot04 test_addplot02 test_kwarg_validation_error test_figratio_bounds test_dataframe_typeErr test_kwarg_not_implemented test_pmove_addplot test_unrecognized_kwarg test_pnf04 test_pnf01 test_pnf02 test_pnf03 test_renko01 test_renkovalues test_renko03 test_renko04 test_renko02 test_date_demo1 test_date_demo2 test_finance_demo test_finance_work2 test_longshort test_plot_day_summary_oclh_demo connect str parent plot make_mpf_style dict append make_marketcolors str parent plot make_mpf_style dict append make_marketcolors str set_index to_datetime timedelta get_code_prices head str set_index print to_datetime timedelta get_code_prices head str set_index print to_datetime timedelta get_code_prices head str set_index to_datetime timedelta get_code_prices head range days glob add_argument ArgumentParser get_args makedirs sample to_list join reset_index value_counts glob print to_csv apply _equalize_label_size DataFrame makedirs join reset_index value_counts glob print to_csv apply _equalize_label_size DataFrame makedirs Input post groupby print sort_values to_list date read_csv post_slack groupby print sort_values to_list date read_csv post_slack valid_gen create_my_generator_flow_from_directory LabeledDataset plot_results save create_paper_cnn init_train_steps_per_epoch get_fine_tuning_model run load_my_data create_my_generator_flow binary_generator_multi_output_wrapper get_optimizers format compile join time print makedirs train_gen get_base_cb fit join load_my_data create_my_generator_flow_from_directory LabeledDataset load_model test_gen conf_matrix_from_pred_classes_generator get_predict_generator_results predict_tta_generator binary_generator_multi_output_wrapper create_test_generator load_model cal_weight parse_args ones exp asarray linspace zeros_like diff sum range len moving_average append DataFrame autoscale_view add_line Line2D extend add_line autoscale_view Line2D add_patch Rectangle set_alpha append _missing set_transform max dpi min update_datalim add_collection to_rgba scale autoscale_view _check_input LineCollection max min update_datalim PolyCollection add_collection to_rgba autoscale_view _check_input LineCollection update_datalim PolyCollection add_collection to_rgba autoscale_view set_transform list height dpi insert update_datalim PolyCollection add_collection to_rgba scale zip autoscale_view max set_transform height dpi update_datalim PolyCollection add_collection scale autoscale_view max warn _validate_vkwargs_dict arange autoscale_view grid update_datalim set_visible clf set_major_formatter xticks DataFrame max log values show list _construct_candlestick_collections _apply_mpfstyle tick_right set_linewidth bar scatter twinx IntegerIndexDateTimeFormatter setp set_color append savefig DateFormatter range get_offset update fabs get_xticklabels _check_and_prepare_data close add_axes add_collection _updown_colors set_label_position num2date float tick_left set_size_inches isinstance suptitle set_axisbelow _construct_renko_collections _construct_pointnfig_collections min draw _valid_plot_kwargs cycle set_ylabel _process_kwargs figure _construct_ohlc_collections _get_mpfstyle set_ylim len _validate_vkwargs_dict _valid_addplot_kwargs _process_kwargs append date2num values to_pydatetime items list items list strip keys update use _validate_vkwargs_dict update _valid_make_mpf_style_kwargs _get_mpfstyle _process_kwargs _validate_vkwargs_dict update _check_and_set_mktcolor _process_kwargs _valid_make_marketcolors_kwargs _get_mpfstyle seconds now abs max range len pop abs append sum range append sum range len _validate_vkwargs_dict _validate_vkwargs_dict print to_rgba float _check_input LineCollection len print PolyCollection _updown_colors to_rgba float _check_input LineCollection len pop int print min extend PolyCollection _calculate_atr to_rgba _process_kwargs _valid_renko_kwargs append abs max range enumerate len Ellipse _valid_pointnfig_kwargs abs max list set_edgecolor _calculate_atr append sum PatchCollection range LineCollection insert combine_adjacent enumerate int print min to_rgba set_facecolor _process_kwargs coalesce_volume_dates len join plot print close getsize compare_images join plot print close make_addplot getsize compare_images append items nan append items nan join percentB_belowzero plot print close percentB_aboveone getsize compare_images join percentB_belowzero plot print close percentB_aboveone getsize compare_images Series DataFrame make_addplot make_addplot BytesIO plot join plot print close getsize compare_images join plot print close getsize compare_images join plot print close getsize compare_images join plot print close getsize compare_images join plot print close getsize compare_images join plot print close getsize compare_images join plot print close getsize compare_images join plot print close getsize compare_images close plot join set_major_locator BytesIO subplots grid YearLocator set_minor_locator autofmt_xdate set_major_formatter MonthLocator savefig autoscale_view plot_date DateFormatter read_csv values join list set_major_locator subplots BytesIO values grid set_minor_locator autofmt_xdate set_major_formatter MonthLocator read_csv autoscale_view savefig plot_date DateFormatter range WeekdayLocator subplots candlestick_ohlc DayLocator set_minor_locator set_major_formatter set_major_locator list savefig setp to_pydatetime DateFormatter get_xticklabels zip WeekdayLocator join BytesIO subplots_adjust date2num xaxis_date autoscale_view read_csv zeros_like set_visible axhline High max values moving_average set_major_locator set_title set_rotation MyLocator FontProperties set_horizontalalignment relative_strength Close twinx savefig legend DateFormatter plot get_xticklabels add_axes set_alpha Low Volume join BytesIO vlines moving_average_convergence text rc set_yticks tail index figure fill_between read_csv set_ylim diff join gains2 subplots set_title zeros_like plot BytesIO grid autofmt_xdate savefig cumprod gains1 diff read_csv values merge join list to_pydatetime subplots set_major_locator BytesIO grid date2num plot_day_summary_oclh autofmt_xdate set_major_formatter savefig zip autoscale_view DateFormatter read_csv WeekdayLocator | riron1206/candlestick_model | 3,434 |
rishavroy1264bitmesra/Tensorflow-Boundary-Loss-for-Remote-Sensing-Imagery-Semantic-Segmentation | ['boundary detection', 'semantic segmentation'] | ['Boundary Loss for Remote Sensing Imagery Semantic Segmentation'] | boundary_loss.py segmentation_boundary_loss mean sum | rishavroy1264bitmesra/Tensorflow-Boundary-Loss-for-Remote-Sensing-Imagery-Semantic-Segmentation | 3,435 |
ristea/arim-v2 | ['autonomous driving'] | ['Estimating the Magnitude and Phase of Automotive Radar Signals under Multiple Interference Sources with Fully Convolutional Networks'] | main.py FConvNet.py process_dataset.py dataset.py RadarDataset FConv3Net process split_dataset build_radar_dataset load show plot float len range log10 load_state_dict figure to abs network RadarDataset __getitem__ open arange shuffle append loadmat array range len join concatenate split_dataset save range len | # Automotive Radar Interference Mitigation data sets (ARIM-v2) We propose a novel large scale database consisting of radar data samples, generated automatically while trying to replicate a realistic automotive scenario with variable interference sources. We provide two ways to obtain data: - directly by downloading the data from below listed links - generate the data by using the provided scripts -----------------------------------------  ----------------------------------------- ## Download data set | 3,436 |
ritesh2212/DeepPhotoStyle_pytorch-master | ['style transfer'] | ['Deep Photo Style Transfer'] | image_preprocessing.py neural_style.py closed_form_matting.py compute_laplacian _rolling_block closed_form_matting_with_trimap closed_form_matting_with_prior closed_form_matting_with_scribbles main get_all_masks image_to_tensor image_loader get_masks plt_images masks_loader is_nonzero tensor_to_image masks_to_tensor extract_masks resize_masks AugmentedStyleLoss Normalization StyleLoss gram_matrix ContentLoss get_style_model_and_losses run_style_transfer get_input_optimizer strides _rolling_block reshape inv astype ravel mean shape coo_matrix eye bool sum einsum minimum compute_laplacian reshape maximum shape info spsolve ravel diags imwrite image closed_form_matting_with_scribbles ArgumentParser trimap basicConfig solve_fg exit IMREAD_COLOR solve_foreground_background parse_args imread concatenate IMREAD_GRAYSCALE closed_form_matting_with_trimap error add_argument output print_help scribbles append array open get_all_masks get_masks resize_masks masks_to_tensor unsqueeze Compose open show subplot tight_layout tensor_to_image imshow title figure t size mm view deepcopy children format isinstance AvgPool2d AugmentedStyleLoss Sequential len MaxPool2d add_module Conv2d ReLU ContentLoss BatchNorm2d to range append detach LBFGS compute_laplacian tensor_to_image clamp_ get_style_model_and_losses step get_input_optimizer | ritesh2212/DeepPhotoStyle_pytorch-master | 3,437 |
ritheshkumar95/energy_based_generative_models | ['anomaly detection'] | ['Maximum Entropy Generators for Energy-Based Models'] | scripts/evals.py scripts/train/wgan-gp_cifar.py scripts/train/ebm_celeba.py scripts/utils.py scripts/train/classifier_mnist.py data/kdd.py scripts/inception_score.py networks/cifar.py data/celeba.py scripts/train/anomaly_mnist.py scripts/train/ebm_cifar.py networks/kdd.py scripts/train/functions.py networks/toy.py networks/regularizers.py scripts/test/latent_space_mcmc.py scripts/test/eval_metrics_cifar.py networks/celeba.py scripts/train/ebm_mnist.py data/mnist_anomaly.py scripts/train/anomaly_kdd.py scripts/train/wgan-gp_mnist.py data/mnist.py networks/mnist.py scripts/train/ebm_toy.py scripts/sampler.py data/toy.py data/cifar.py inf_train_gen inf_train_gen _get_dataset get_train get_test _adapt get_shape_input _encode_text_dummy get_shape_label _col_names _to_xy _get_adapted_dataset inf_train_gen get_train num_classes get_test get_shape_input get_shape_label adapt_labels get_shape_input_flatten _get_adapted_dataset inf_train_gen Generator StatisticsNetwork EnergyModel Generator StatisticsNetwork weights_init EnergyModel Generator StatisticsNetwork EnergyModel Generator StatisticsNetwork weights_init EnergyModel score_penalty gradient_penalty Generator StatisticsNetwork EnergyModel ModeCollapseEval KLD tf_fid tf_inception_score inception_logits preds2score get_inception_score get_inception_probs MALA_corrected_sampler get_sgld_proposal MALA_sampler save_energies save_samples save_toy_samples parse_args parse_args parse_args do_eval compute_scores parse_args do_eval compute_scores main Net train test parse_args parse_args parse_args parse_args train_wgan_generator train_generator train_wgan_discriminator train_energy_model parse_args parse_args ImageFolder Compose DataLoader CIFAR10 _adapt _get_dataset transform astype float32 copy _to_xy _encode_text_dummy _col_names sample MinMaxScaler read_csv fit int permutation RandomState concatenate drop columns format get_dummies append columns seed join astype fromfile randint float range zeros open load int permutation concatenate reshape astype float32 adapt_labels randn shuffle choice append array len normal_ __name__ fill_ mean requires_grad_ netD rand_like netE requires_grad_ eval train str list imsave transpose system tqdm eval Path train range exists makedirs transpose concat resize_bilinear map_fn unstack split exp concatenate append sum range len exp range mean append expand_dims sum log print preds2score time get_inception_probs netE randn_like requires_grad_ netG sqrt detach get_sgld_proposal netE clamp netG mcmc_iters alpha cuda range detach norm get_sgld_proposal print clamp mcmc_iters alpha cuda range detach add_subplot scatter Figure numpy cuda make_grid train eval cuda exp reshape add_subplot colorbar imshow clf linspace Figure add_argument ArgumentParser percentile print astype precision_recall_fscore_support norm print netE compute_scores requires_grad_ numpy cuda add_scalar xlabel ylabel precision_recall_curve ylim title figure fill_between xlim step auc add_figure format backward model print nll_loss dataset zero_grad item step enumerate len format print eval dataset len seed MNIST print train add_argument SGD test device parameters DataLoader ArgumentParser manual_seed save parse_args to epochs range state_dict fill_ backward netE squeeze zero_grad mean netG append step cuda cat score_penalty backward netE zero_grad mean append step cuda detach backward zero_grad mean netG netD step cuda gradient_penalty backward zero_grad mean netD append step cuda detach | ritheshkumar95/energy_based_generative_models | 3,438 |
rithinch/session-based-vehicle-recommendations | ['session based recommendations'] | ['Session-based Recommendation with Graph Neural Networks'] | pre_process/clean_data.py model/training_scripts/model.py model/model.py client/view_recommendations.py model/training_scripts/main.py pre_process/gather_data.py model/score.py model/main.py pre_process/pre_process.py model/training_scripts/utils.py model/utils.py get_recomendations open_results main boolean_string GNN trans_to_cuda predict_scores train_test trans_to_cpu SessionGraph forward post_process create_connection_matrix pre_process init run Data pad_features split_validation get_feature_vectors data_masks main boolean_string GNN trans_to_cuda predict_scores train_test trans_to_cpu SessionGraph forward Data pad_features split_validation get_feature_vectors data_masks get_details rename_df_columns concat_csv_files get_timeframe get_item_features_embeddings obtian_tra get_item_mappings obtian_tes process_seqs post dumps get content fromstring open_new_tab predict_scores save log open Data split_validation get_feature_vectors range state_dict epoch train_test copy load join validation trans_to_cuda time output_folder print makedirs valid_portion SessionGraph dataset_folder len is_available is_available trans_to_cuda get_slice model float long trans_to_cuda arange batch_size print forward backward predict_scores zero_grad loss_function item zip train step long generate_batch len batch_size print mask mean eval numpy zip append isin forward generate_batch load join pad_features eval SessionGraph load_state_dict open get_feature_vectors len arange transpose tolist divide unique append zeros sum max len trans_to_cuda create_connection_matrix lower append float long model pre_process max int arange shuffle round len len append lower split rename glob print concat astype to_csv apply rename_df_columns DataFrame head drop print list range zip len set_index apply to_dict drop_duplicates read_csv drop join list columns items set_index drop to_dict get_dummies drop_duplicates read_csv values len | # Session Based Vehicle Recommendations Adapted from: - Wu, Shu et al. (2018). “Session-based Recommendation with Graph Neural Networks”. In: doi: arXiv:1811.00855v3. url: http://arxiv.org/abs/1811.00855 Core model implementation taken from: - [https://github.com/CRIPAC-DIG/SR-GNN](https://github.com/CRIPAC-DIG/SR-GNN) | 3,439 |
rizvansky/Internship-AI-Lab-IU-2020 | ['domain generalization'] | ['On the limits of cross-domain generalization in automated X-ray prediction'] | preprocessing/preprocess_rsna.py custom_transforms.py preprocessing/preprocess_chest14.py resnet18_pretrained.py evaluation.py preprocessing/preprocess_gb7.py visualize.py preprocessing/preprocess_all.py preprocessing/preprocess_tb.py weights.py preprocessing/preprocess_chest_xray_pneumonia.py NIH_dataset_model.py main.py utils_xray.py pred_acc test Net XRayDatasetFromCSV train train validate validate ImbalancedDataSampler calculate_weights test XRayDatasetFromCSV train test_net calculate_metrics show_image show_distribution show_metrics get_weights set_weights pred_acc format criterion backward print zero_grad mean item cpu step net append enumerate format print mean eval save max eval roc_curve astype len range auc update tqdm set_description_str range len roc_curve astype tqdm save append auc append tqdm tensor to sum load resnet50 CustomDataset Compose in_features test parameters DataLoader eval load_state_dict show_metrics save is_available to CrossEntropyLoss calculate_metrics Linear str arange transpose add_subplot imshow title figure iter Tensor next show format set_title reshape set figure heatmap len show pie legend len reshape save cat parameters parameters reshape shape | # r.iskaliev
***Description of the work:*** *Evaluate the generalization performance of a specific model in
Pneumonia detection when trained and tested on datasets from various institutions that were
annotated by different clinicians or labeling tools.*
**Week 1:**
Learn PyTorch framework basics, write and train the neural network on some dataset for
the image classification.
| 3,440 |
rleap-project/d2l | ['combinatorial optimization'] | ['Learning General Policies from Small Examples Without Supervision'] | src/pyperplan/heuristics/__init__.py src/sltp/solvers/__init__.py src/sltp/driver.py src/sltp/util/defaults.py src/pyperplan/pyperplan.py experiments/run.py src/pyperplan/pddl/lisp_parser.py src/sltp/solvers/library.py experiments/hanoi.py src/sltp/util/serialization.py src/sltp/util/tools.py domains/reward/generator.py src/sltp/language.py experiments/visitall.py src/pyperplan/tools.py src/pyperplan/search/sat.py src/pyperplan/heuristics/lm_cut.py src/sltp/__init__.py setup.py experiments/childsnack.py domains/spanner-ipc11-learning/spanner-generator.py src/sltp/extensions.py src/pyperplan/search/a_star.py src/pyperplan/pddl/parser.py src/pyperplan/pddl/pddl.py domains/delivery/generator.py experiments/satellite.py src/sltp/util/runner.py src/pyperplan/search/__init__.py src/sltp/outputs.py experiments/spanner.py src/sltp/returncodes.py src/sltp/models.py experiments/blocks.py src/pyperplan/search/iterative_deepening_search.py src/sltp/solvers/common.py src/sltp/util/misc.py domains/blocks/generator.py src/pyperplan/pddl/tree_visitor.py src/sltp/util/names.py src/sltp/featuregen.py src/pyperplan/search/breadth_first_search.py experiments/reward.py experiments/logistics.py src/sltp/util/console.py src/pyperplan/heuristics/blind.py src/pyperplan/heuristics/relaxation.py src/pyperplan/search/minisat.py src/sltp/sampling.py src/pyperplan/search/searchspace.py src/sltp/steps.py src/pyperplan/search/full_state_space_search.py domains/gridworld/generator.py experiments/miconic.py src/sltp/cnfgen.py src/pyperplan/heuristics/landmarks.py src/sltp/util/naming.py src/sltp/matrices.py experiments/floortile.py src/pyperplan/external/argparse.py src/pyperplan/task.py src/pyperplan/search/enforced_hillclimbing_search.py scripts/profiling.py scripts/alltests.py src/pyperplan/pddl/__init__.py experiments/gripper.py src/pyperplan/grounding.py src/pyperplan/pddl/lisp_iterators.py src/sltp/tester.py src/sltp/version.py src/sltp/util/bootstrap.py src/sltp/util/performance.py domains/graph-traversal/generator.py src/sltp/errors.py src/pyperplan/pddl/errors.py src/sltp/util/cnfwriter.py src/pyperplan/pddl/parser_common.py experiments/delivery.py src/sltp/separation.py src/sltp/util/command.py experiments/cluster.py src/pyperplan/heuristics/heuristic_base.py experiments/gridworld.py src/sltp/features.py experiments/barman.py _post_install SltpInstall get_description get_version SltpDevelop main main generate_atomic_bw_language generate_problem main create_actions generate_domain main generate_propositional_domain create_noop main generate_propositional_domain generate_domain generate_propositional_domain create_two_action_version main create_single_action_version create_noop get_goals get_objects get_init experiments all_test_instances all_on_test_instancess fs_debug_features2 debug_features_at2 debug_features_4op all_4op_test_instances debug_features_clear fs_debug_policy fs_debug_features all_clear_test_instancess debug_features_at experiments debug_policy_4op experiments all_test_instances create_parser main generate_script debug_features expected_features all_test_instances expected_features_wo_conditionals experiments debug_policy experiments experiments add_domain_parameters add_domain_parameters_strips experiments experiments experiments all_instances experiments debug_policy debug_features all_test_instances experiments debug_features all_test_instances experiments all_test_instances experiments debug_policy all_test_instances experiments debug_features all_test_instances runtests test start display_top print_snapshot _get_fact _get_grounded_string _relevance_analysis _get_statics _create_type_map _ground_action _ground_atom _ground_actions _create_operator _get_partial_state _ground_atoms ground _collect_facts _find_pred_in_init find_domain _get_heuristic_name _search _write_solution get_heuristics _parse search_plan validator_available _ground validate_solution main parse_args setup_logging Task Operator remove command_available import_python_file ArgumentError ArgumentDefaultsHelpFormatter _AppendAction _AppendConstAction _callable ArgumentParser _ensure_value _StoreAction _ArgumentGroup _StoreConstAction _AttributeHolder ArgumentTypeError _CountAction _StoreTrueAction _get_action_name FileType Namespace _HelpAction _VersionAction _SubParsersAction _StoreFalseAction _ActionsContainer _MutuallyExclusiveGroup RawDescriptionHelpFormatter Action HelpFormatter RawTextHelpFormatter BlindHeuristic Heuristic LandmarkHeuristic _get_relaxed_task get_landmarks compute_landmark_costs LmCutHeuristic RelaxedFact _compare RelaxedOp RelaxedFact RelaxedOperator hFFHeuristic _RelaxationHeuristic hMaxHeuristic hAddHeuristic hSAHeuristic BraceError ParseError LispIterator _tokenize parse_lisp_iterator _parse_list_aux parse_nested_list GoalStmt ActionStmt _parse_precondition_or_effect Predicate InitStmt _parse_string_helper parse_predicate_instance_list Parser PredicateInstance parse_predicates_stmt parse_typed_var_list Keyword parse_goal_stmt parse_precondition_stmt parse_domain_def EffectStmt RequirementsStmt parse_formula parse_problem_name PreconditionStmt parse_requirements_stmt parse_action_stmt Object parse_name ProblemDef parse_keyword_list parse_predicate_list parse_keyword parse_variable parse_list_template DomainStmt _parse_domain_helper parse_predicate_instance _parse_type_helper parse_predicate Variable parse_effect_stmt Formula parse_problem_def PredicatesStmt DomainDef _parse_types_with_error Type parse_init_stmt parse_parameters Problem Predicate Effect Type Domain Action ordered_node_weighted_astar astar_search weighted_astar_search greedy_best_first_search ordered_node_astar ordered_node_greedy_best_first breadth_first_search enforced_hillclimbing_search StateSpaceInfo full_state_space_search iterative_deepening_search IterativeDeepeningSearchAlgorithm minisat_available CnfWriter solve retransform_output solve_with_minisat sat_solve _formula_str get_formula_for_fact _extract_plan get_formula_for_operator get_plan_formula index_fact makes_false makes_true make_root_node SearchNode make_child_node prepare_maxsat_solver_input print_good_features_list print_good_transition_list generate_cnf run load SubprocessStepRunner check_int_parameter run_and_check_output run_experiment _deserializer Bunch Experiment Step StepRunner save InvalidConfigParameter get_step _create_exception_msg CriticalPipelineError get_term_key compress_binary_extension ExtensionTrace uncompress_extension uncompress_binary_extension compress_extension compress_unary_extension UniverseIndex uncompress_unary_extension trace_to_bits serialize_dl_model goal_predicate_name invoke_cpp_generator deal_with_serialized_features print_feature_matrix make_script generate_feature_pool convert_tuple print_actual_output generate_output_from_handcrafted_features print_sample_info transform_generator_output generate_debug_scripts serialize_static_info process_predicate_atoms run compute_static_atoms DLModelCache compute_predicates_appearing_in_goal compute_instance_information create_model_factory report_use_goal_denotation create_model_cache_from_samples create_model_cache InstanceInformation generate_model_cache parse_all_instances compute_nominals compute_models parse_pddl printer log_feature_denotations next_power_of_two print_feature_info int_printer cast_feature_value_to_numpy_value DLModelFactory default_denotation_by_arity FeatureModel DLModel print_transition_matrix ExitCode log_sampled_states run_backwards_brfs print_atom mark_optimal sample_generated_states random_sample compute_parents read_transitions_from_files mark_all_optimal remap_state_ids read_single_sample_file mark_optimal_transitions sample_expanded_and_goal_states normalize_atom_name TransitionSample sample_first_x_states run generate_policy_from_sat_solution DNFAtom print_maxsat_solution minimize_dnf_policy changes_are_analogous generate_user_provided_policy TransitionClassificationPolicy compute_good_transitions compute_policy_clauses read_selected_variable_ids extract_features_from_sat_solution attempt_dnf_merge _run_planner TransitionSamplingStep PlannerStep generate_pipeline CPPFeatureGenerationStep CPPMaxsatProblemGenerationStep D2LPolicyTestingStep generate_pipeline_from_list _import_pyperplan apply_policy_on_test_instances test_d2l_policy_is_complete _run_pyperplan generate_model_from_state translate_state create_pyperplan_policy_based_search test_d2l_policy PolicySearchException translate_atom create_action_selection_function_from_transition_policy get_version choose_solver Solution parse_maxsat_output solve run_solver run_with_controlling_timer OpenwboInc Openwbo Glucose GlucoseSyrup Maxino WPM3 RawAndDefaultsHelpFormatter ErrorAbortHandler setup_argparser parse_and_set_log_level get_parser setup_logging Clause Variable print_clause CNFWriter Literal create_experiment_workspace read_file count_file_lines remove_duplicate_lines execute get_terminal_size lines header print_hello log_time pddl_language_creator OptimizationPolicy get_experiment_class default_feature_namer generate_experiment print_tuple try_number print_set update_dict compute_universe_from_pddl_model extend_namer_to_all_features types_as_atoms state_as_atoms print_relation spanner_names logistics_names blocksworld_names gripper_names blocksworld_parameters_for_on delivery_names childsnack_names gridworld_names floortile_names barman_names satellite_names visitall_names reward_names miconic_names hanoi_names no_parameter blocksworld_parameters_for_clear gripper_parameters compute_sample_filenames filename_core compute_maxsat_filename compute_info_filename compute_serialization_name compute_test_sample_filenames compute_sample_filename memory_usage display_top print_memory_usage report_and_exit do import_experiment_file import_from_file run serialize build_concept unserialize_feature Node unserialize_features parse_concept deserialize read_subitems read_ast ActionEffect generate_effect abstract_state print_atom feature_type attempt_single_merge IdentifiedFeature AbstractAction Abstraction minimize_dnf merge_precondition_sets optimize_abstract_action_model load_selected_features prettyprint_precs_and_effects process_features generate_qualitative_effects_from_transition insert join setup call join get generate_random_bw_pattern permutations add constants on generate_atomic_bw_language action append land create_fstrips_problem language constant predicate FstripsWriter write generate_problem range language get variable action language pop list constant function product sort create_actions shuffle add set choice predicate cell_name land range create_fstrips_problem generate_domain language get variable action language create_noop list permutations sort add at predicate sample range create_fstrips_problem action int generate_propositional_domain interval action Integer function variable set land language get variable action language get variable action product len shuffle create_two_action_version cell_name append str range str range randint str range dict update_dict add_argument ArgumentParser parse_args do generate_script join format print strftime expanduser append range format join print test display_top take_snapshot join filter_traces statistics print strip sum enumerate update join list initial_state name debug _get_statics _create_type_map map goal _get_partial_state _relevance_analysis domain _ground_actions objects _collect_facts values constants add_effects info name debug copy add set del_effects len chain set items list defaultdict parent add set chain list compile items remove list product name debug precondition copy set filter info chain signature name precondition dellist _get_grounded_string add _ground_atom set addlist _ground_atoms append signature join extend dirname abspath listdir import_python_file __name__ join format error group search exit info listdir split format debug actions predicates Parser constants objects info parse_domain parse_problem len format operators name info ground facts len name format search info format _search perf_counter _parse _ground info heuristic_class call warning info print get_callable_names add_argument exit print_help ArgumentParser values basicConfig find_domain state_space_output _write_solution len search exit domain problem search_plan validate_solution warning abspath info __name__ setup_logging check_call basename insert endswith __import__ dirname normpath abspath append setattr option_strings deepcopy operators set initial_state goals operators set apply _get_relaxed_task add facts items list defaultdict operators min add len list map list map _tokenize list next _parse_list_aux replace split append list f pop list insert parse_list_template is_structure type_class get_word append next get_word get_word next parse_typed_var_list parse_keyword_list parse_name parse_typed_var_list parse_name parse_list_template parse_name parse_list_template is_structure get_word parse_variable next parse_formula next parse_precondition_stmt parse_effect_stmt parse_parameters parse_name parse_predicate_list parse_action_stmt parse_constants_stmt parse_types_stmt peek name parse_name parse_domain_stmt DomainDef parse_requirements_stmt append parse_keyword match_end next parse_predicates_stmt parse_name parse_init_stmt parse_goal_stmt dict parse_problem_name parse_objects_stmt match_end next parse_problem_domain_stmt parse_predicate_instance_list parse_formula next g get g goal_reached initial_state heuristic make_root_node debug calc_h_with_plan state name heappop get_successor_states info make_child_node float heappush make_open_entry goal_reached initial_state make_root_node debug popleft state make_child_node add get_successor_states info deque append clear goal_reached initial_state heuristic make_root_node debug popleft state calc_h_with_plan name make_child_node set add get_successor_states info deque append len add_state goal_reached parent initial_state make_root_node debug popleft state make_child_node set add StateSpaceInfo get_successor_states info deque append IterativeDeepeningSearchAlgorithm debug wait remove Popen get items int remove debug dict startswith append split solve_with_minisat write retransform_output str makes_true sorted list preconditions sorted list initial_state operators extend get_formula_for_operator append facts range int join format defaultdict debug len add startswith append max range split format info operators solve _extract_plan get_plan_formula range generate_policy_from_sat_solution good_transitions_filename good_features_filename solve print_good_features_list experiment_dir maxsat_timeout model_cache maxsat_solver cnf_filename print_good_transition_list info range generate_cnf get join format prepare_maxsat_solver_input realpath generators_path CNFGenerationUnknownError info execute int join list format keys DEBUG log_time DEBUG join format log_time get_step_runner get_required_data description runner_class run exit run isinstance append isinstance convert_tuple items universe process_predicate_atoms items name convert_tuple universe append serialize_dl_model update items defaultdict join experiment_dir close info append enumerate sum format print_actual_output shape info empty len states items get_feature_model feature_denotation_filename get_sorted_state_ids len print_actual_output log_feature_denotations print_denotations empty enumerate print_feature_matrix goals get_sorted_state_ids deadends feature_matrix_filename join format make_script S_IEXEC chmod st_mode stat update join deal_with_serialized_features instances feature_generator experiment_dir set serialized_feature_filename domain generate_output_from_handcrafted_features print_sample_info transform_generator_output info append parse_all_instances compute_models parameter_generator join format experiment_dir realpath generators_path info execute generate_debug_scripts split feature_generator info len format info parse_all_instances compute_models info language approximate_symbol_fluency add set init types_as_atoms state_as_atoms language compute_static_atoms list goal compute_universe_from_pddl_model transform_to_ground_atoms append goal transform_to_ground_atoms info language report_use_goal_denotation create_model_cache_from_samples compute_dl_vocabulary union parse_pddl compute_predicates_appearing_in_goal compute_instance_information report_use_goal_denotation parse_pddl compute_dl_vocabulary compute_nominals states compute_nominals create_model_cache instance items list create_model DLModelFactory append parse_instance FstripsReader problem parse_domain constants max len feature_info_filename format info sorted format info get_sorted_state_ids alive_states transitions info sum keys optimal_transitions len add min set get inf popleft deque append items run_backwards_brfs set format info set update range zip set sample_files update instance_roots read_transitions_from_files num_sampled_states resample set mark_optimal_transitions info sample_first_x_states compute_optimal_states goals mark_all_optimal mark_as_alive mark_as_optimal parents num_sampled_states min sample_expanded_and_goal_states num_states len list shuffle add set iter next range items defaultdict add replace OrderedDict items defaultdict mark_as_goals remap_state_ids add_transitions read_single_sample_file append num_states TransitionSample mark_as_root enumerate int sorted defaultdict tuple set add OrderedDict read_file startswith info sum keys split log_sampled_states print_transition_matrix transitions_info_filename sample_generated_states resampled_states_filename dict join print natsorted get_feature_model assignment frozenset wsat_varmap_filename denotation add_clause compute_good_transitions print_aaai20 extract_features_from_sat_solution TransitionClassificationPolicy join assignment language_creator experiment_dir serialized_feature_filename load_selected_features read_selected_variable_ids d2l_policy parse parse_pddl domain feature_namer diff add remove attempt_dnf_merge symmetric_difference combinations list difference sample_files test_domain instances test_sample_files num_tested_states domain zip num_states test_instances run generate_pipeline_from_list append config klass test_domain _import_pyperplan test_policy_instances _run_pyperplan info pyperplan_path parameter_generator insert compute_static_atoms create_model_factory create_pyperplan_policy_based_search main parse_args create_policy translate_state searchspace d2l_policy test_d2l_policy_is_complete apply_policy_on_test_instances info get_feature_model test_domain transition_is_good read_transitions_from_files expanded test_sample_files error generate_model_cache info test_instances parameter_generator Solution run_solver name join remove communicate start kill Timer stdout setFormatter ErrorAbortHandler getLogger handlers addHandler removeHandler Formatter setLevel add_argument setdefault ArgumentParser add_argument get_parser parse_known_args upper getattr get_parser setup_logging join call remove name close call info rmtree makedirs get_terminal_size columns min max process_time f log format print format get_version header get create_experiment_workspace join replace generate_pipeline dict parse_pddl domain update copy UniverseIndex finish update items list set update sorts set items list str str extend_namer_to_all_features str str str str str str str str str str str str Process float getpid rss ru_maxrss memory_usage format info spec_from_file_location module_from_spec report_and_exit exec_module isfile print exit print_description report_and_exit print run experiments import_experiment_file print_hello generate_experiment split show exp_id workspace do parse_args steps get parse_concept startswith split read_ast get isinstance append enumerate rfind find unserialize_features join sorted items list defaultdict AbstractAction add preconditions merge_precondition_sets append symmetric_difference combinations list difference attempt_single_merge remove copy add | rleap-project/d2l | 3,441 |
rlitschk/UnsupCLIR | ['information retrieval'] | ['Unsupervised Cross-Lingual Information Retrieval using Monolingual Data Only'] | experiment_europarl.py text2vec.py collection_extractors.py timer.py faiss_index.py experiment_clef.py ensemble_clef.py load_data.py constants.py embeddings.py _combine extract_italian_sda9495 _find_all_and_concatenate extract_finish_aamuleth9495 extract_dutch extract_italian_lastampa _load_embedding Embeddings run_ensemble main _score_doc_unigram_lm run_experiment _save_ranking run_wordbyword_translation prepare_word_embeddings _count_words run_unigram_lm run main _word_overlap evaluate_clef prepare_experiment run_experiment clean_mt_data create_index get_idx search load_relevance_assessments load_txt_data load_clef_documents load_queries _decode_xml text2vec_bigram _map_func create_text_representations compute_idf_weights lookup text2vec_sum clean tokenize text2vec_idf_sum Timer join _combine _find_all_and_concatenate findtext _combine _find_all_and_concatenate findtext _combine _find_all_and_concatenate findtext _combine _find_all_and_concatenate findtext join norm array split items sorted list join tolist set mean append array enumerate len str max partial PPrintTimer PROCESS_COUNT endswith print pprint_stop YEARs LANGUAGE_PAIRS_SHORT extend map PATH_BASE_EVAL load_relevance_assessments Pool RESULTS_DIR dict get items list sum values append str join split load_queries print pprint_lap extend load_clef_documents load_relevance_assessments Embeddings load_embeddings tolist len mean append array range enumerate starmap permutation most_common _word_overlap Pool seed str list map Counter append sum evaluate_clef update partial pprint_lap close zip enumerate join print dict repeat len search list create_index all compress map add lookup append chain partial pprint_lap set zip EMBEDDING_DIM print dict zeros array list create_index all compress print pprint_lap create_text_representations search evaluate_clef len _save_ranking experiment print pprint_stop start append RESULTS_DIR PATH_BASE_QUERIES RESULTS_FILE METHODs pprint_lap prepare_word_embeddings PATH_BASE_DOCUMENTS LANGUAGE_PAIRS run PATH_EMB_BASE exists prepare_experiment add set zip append clean load_embeddings seed str pprint_stop clean_mt_data choice mean power PPrintTimer load_txt_data Embeddings where list PPrintTimer concatenate print reshape map zip array range len add METRIC_INNER_PRODUCT IndexFlatIP IndexIVFFlat train list extractor append _decode_xml enumerate int join list findtext strip append _decode_xml enumerate lower replace word_tokenize punctuation words set append lower get_vector join tanh bigrams lookup append clean tokenize zeros add set lookup append clean sum tokenize zeros list set lookup append clean tokenize join list partial close map Counter dict chain Pool len deepcopy list join partial print close map compute_idf_weights set_vector Pool get_vector keys | # Unsupervised Cross-Lingual Information Retrieval using Monolingual Data Only This project is the codebase for our paper "*Unsupervised Cross-Lingual Information Retrieval using Monolingual Data Only*" (UnsupCLIR) accepted at [SIGIR'18](http://sigir.org/sigir2018/). We propose a fully unsupervised framework for ad-hoc cross-lingual information retrieval (CLIR) which requires no bilingual data at all. Our experiments use the standard CLEF CLIR collections and outperform baselines that utilize cross-lingual embeddings relying on word- and document-level alignments. Preprint: https://arxiv.org/abs/1805.00879 ## Getting Started In order to get started follow these steps: * Get the official CLEF evaluation data from http://catalog.elra.info/product_info.php?products_id=888 * Copy the data into the project folder to match the directory structure shown below (subfolder structure in /HOME/Data/) * Download the embeddings from https://madata.bib.uni-mannheim.de/273/ and paste them into /HOME/Embeddings. Alternatively, you can also train your own shared embedding spaces. * Smith: https://github.com/Babylonpartners/fastText_multilingual * Conneau: https://github.com/facebookresearch/MUSE | 3,442 |
rlopt/l2i | ['combinatorial optimization'] | ['A Learning-based Iterative Method for Solving Vehicle Routing Problems'] | sequence_encoder.py ml_opt.py calculate_adjusted_distance_between_indices get_cycle_from_path calculate_path_distance insert_into_path cross_two_paths exchange_two_paths eject_three_paths build_multi_operator_model get_path_from_cycle embedding_net_attention apply_two_opt do_exchange_path embed_solution_with_nothing format_print_array get_edge_set calculate_replacement_cost do_exchange_two_paths calculate_consumption calculate_distance_between_indices get_exact_lengths_for_exchange_two_paths do_eject_two_paths improve_solution_by_action calculate_solution_distance embedding_net_2 embedding_net calculate_solution_similarity initialize_uninitialized calculate_trip_distance env_act embedding_net_lstm do_two_opt_path relocate calculate_distance embed_trip eject_two_paths format_print two_opt_path should_restart do_eject_three_paths reconstruct_solution_by_exchange Problem do_cross_two_paths two_opt get_random_capacities do_relocate_path get_config Graph do_relocate_two_paths exchange_path generate_problem str2bool env_generate_state two_exchange relocate_path mutate relocate_two_paths sample_next_index construct_graph reconstruct_solution embed_solution_with_attention get_num_points construct_solution env_step embed_solution validate_solution dense_to_one_hot reshape_input PolicyEstimator embedding_net_nothing improve_solution embed_seq multihead_attention feedforward encode_seq isinstance parse_args add_argument ArgumentParser get_frequency get_distance range len range len calculate_consumption range get_num_customers len deepcopy copy calculate_trip_distance two_opt float range len deepcopy min copy calculate_distance range len deepcopy copy calculate_distance range len calculate_distance range len deepcopy calculate_distance_between_indices range len deepcopy calculate_distance_between_indices range len calculate_distance_between_indices range len get_capacity range len do_cross_two_paths calculate_consumption calculate_distance_between_indices range len min do_relocate_two_paths calculate_consumption calculate_distance_between_indices range len min do_exchange_two_paths calculate_consumption calculate_distance_between_indices range len do_eject_two_paths get_capacity calculate_distance_between_indices float calculate_consumption range len calculate_distance_between_indices float calculate_consumption range len do_eject_three_paths calculate_consumption calculate_distance_between_indices range len deepcopy relocate_path relocate_two_paths cross_two_paths exchange_two_paths exchange_path two_opt_path range len deepcopy relocate_path relocate_two_paths mark_no_improvement insert_into_path cross_two_paths exchange_two_paths should_try exchange_path mark_change_at two_opt_path eject_two_paths get_exact_lengths_for_exchange_two_paths range len zeros num_training_points arange batch_norm relu num_feedforward_units fully_connected BasicLSTMCell unstack static_bidirectional_rnn num_training_points num_lstm_units get randint range asarray list Graph choice append range len calculate_adjusted_distance_between_indices permutation get_cycle_from_path get_capacity reset_change_at_and_no_improvement_at get_path_from_cycle max_num_customers_to_shuffle calculate_solution_distance list get_num_customers tolist append range copy float sample_next_index reconstruct_solution min randint deepcopy range len num_paths_to_ruin calculate_adjusted_distance_between_indices get_capacity mark_change_at round calculate_solution_distance list sorted get_num_customers add_distance_hash find_negative_cycle append range reconstruct_solution_by_exchange choice deepcopy construct_graph sample_next_index len seed list asarray get_random_capacities Problem problem_seed get_num_points choice calculate_distance uniform append randint sum range len reshape norm hstack vstack max_points_per_trip unstack minimum deepcopy min get_location max_points_per_trip embed_trip max_trips_per_solution zeros range len zeros get_distance get_capacity extend get_location append zeros calculate_consumption range len record_solution debug_mode print construct_solution improve_solution_by_action calculate_solution_distance append range extend num_history_action_use env_generate_state env_act now append format_print variables_initializer len global_variables run round format min add set max range len get_edge_set intersection | # A Learning-based Iterative Method for Solving Vehicle Routing Problems A learning-based algorithm for solving the Travelling Salesman Problem (TSP) and the Vehicle Routing Problem (VRP). # Paper For more details, please see our paper [A Learning-based Iterative Method for Solving Vehicle Routing Problems](https://openreview.net/pdf?id=BJe1334YDH), which has been accepted at ICLR 2020. # Dependencies * Python>=3.6 * TensorFlow # Quick Start For training CVRP-20 with 2000 problem instances: ```python | 3,443 |
robertsenps/data | ['data augmentation'] | ['DENSER: Deep Evolutionary Network Structured Representation'] | utils/helper.py configs.py benchmark/convnet.py app.py benchmark/runner.py utils/argparser.py utils/mnist_reader.py visualization/project_zalando.py start_s3_sync get_json_logger touch touch_dir _get_logger main cnn_model_fn PredictJob JobWorker JobManager get_args_request parse_arg get_args_cli now_int upload_result_s3 get_sprite_image invert_grayscale create_sprite_image vector_to_matrix_mnist UploadS3Thread load_mnist UploadS3Thread start Event dirname makedirs makedirs setFormatter touch_dir DEBUG getLogger addHandler StreamHandler Formatter touch setLevel INFO FileHandler setFormatter getLogger addHandler Formatter touch setLevel INFO FileHandler dense max_pooling2d dropout one_hot minimize reshape GradientDescentOptimizer conv2d softmax_cross_entropy asarray evaluate print Estimator shuffle labels images numpy_input_fn train range read_data_sets int append items list defaultdict utcfromtimestamp info int isinstance ones sqrt ceil array range vector_to_matrix_mnist invert_grayscale join | # Fashion-MNIST [](https://github.com/zalandoresearch/fashion-mnist/) [](https://gitter.im/fashion-mnist/Lobby?utm_source=share-link&utm_medium=link&utm_campaign=share-link) [](README.zh-CN.md) [](README.ja.md) [](https://opensource.org/licenses/MIT) [](https://hanxiao.github.io/2018/09/28/Fashion-MNIST-Year-In-Review/) <details><summary>Table of Contents</summary><p> * [Why we made Fashion-MNIST](#why-we-made-fashion-mnist) * [Get the Data](#get-the-data) | 3,444 |
robertstrauss/nnDiffEq | ['time series'] | ['Augmenting Neural Differential Equations to Model Unknown Dynamical Systems with Incomplete State Information'] | py/torchpendulum.py Lambda | Julia version 1.0.5 Flux version 0.9.0 DiffEqFlux version 0.10.2 DifferentialEquations version 6.9.0 | 3,445 |
robustml-eurecom/Vessel-Captcha | ['semantic segmentation'] | ['Vessel-CAPTCHA: an efficient learning framework for vessel annotation and segmentation'] | captcha/evaluation_segmentation.py captcha/utils/helper.py captcha/utils/unetcls.py captcha/utils/resnet.py captcha/filter.py captcha/preprocessing/cls_patch_extraction.py captcha/utils/metrics.py captcha/utils/vgg.py captcha/utils/wnetseg.py captcha/preprocessing/seg_patch_extraction.py captcha/train_pnetcls.py captcha/pnetcls/prediction.py captcha/utils/pnetcls.py captcha/preprocessing/skull_stripping.py captcha/train_wnetseg.py captcha/utils/unet.py captcha/preprocessing/grid.py captcha/preprocessing/rough_mask.py captcha/predict_full_testset.py main parse_arguments main parse_arguments main parse_arguments main parse_arguments main parse_arguments main parse_arguments main parse_arguments main parse_arguments main parse_arguments main parse_arguments main parse_arguments create_and_save_nifti getAllFiles load_nifti_mat_from_file Rand aplly_mask avg_class_acc dice_coef binary_conf_mat_values dice_coef_loss conv_block get_pnetcls block get_resnet conv_block get_unet up_concat_block conv_block get_unetcls up_concat_block vgg_block vgg_block1 get_vgg conv_block up_concat_block2 up_concat_block get_wnetseg sorted uint8 result_dir print astype getAllFiles flatten avg_class_acc load_nifti_mat_from_file append f1_score accuracy_score enumerate add_argument ArgumentParser patch_size where max create_and_save_nifti load_model wnetseg_prediction_dir shape ceil train_metadata_filepath range wnetseg_pnetcl_filepath model_filepath unique float int min zeros test_set_dir predict model_arch time prediction_filepath reshape patch_dir save get_unetcls expanduser fit_transform LabelBinarizer concatenate mean get_pnetcls load get_resnet get_vgg std fit flow get_pnet list get_unet get_wnetseg fit_generator zip ImageDataGenerator dict label_rough train_non_label_dir grid_label_filepath str patch_vessel_dir asarray skull_stripping_dir makedirs original_data grid_filepath kmeans means_ KMEANS_PP_CENTERS patch_annotation_dir len clustering connectedComponents rough_mask_dir float32 any patch_extraction_dir target_dir original_data_dir aplly_mask join sorted isdir append listdir load print print Nifti1Image eye save append randint range flatten sum binary_conf_mat_values flatten tolist range append range conv_block concatenate print SGD Model summary Input compile print Model summary Input compile concatenate conv_block print Model summary Input up_concat_block compile conv_block print Model summary Input up_concat_block compile range range vgg_block print Model vgg_block1 summary Input compile concatenate conv_block up_concat_block2 print Model summary Input up_concat_block compile | # Vessel-Captcha: An Efficient Learning Framework for Vessel Annotation and Segmentation <img src="imgs/pipeline.png" > This is the implementation of our Vessel-CAPTCHA framework for vessel brain MRI segmentation in Keras. ### 1. Preprocessing Data #### Skull stripping: Removing the skull from the MRI images by applying the mask. ```sh python -m captcha.preprocessing.skull_stripping --original_data_dir <path-to-raw-dataset> --target_dir <path-to-skull-stripping-dir> ``` ### 2. Generating Weak Annotations | 3,446 |
rodsom22/gcn_refinement | ['graph learning'] | ['Uncertainty-based graph convolutional networks for organ segmentation refinement', 'An Uncertainty-Driven GCN Refinement Strategy for Organ Segmentation'] | source/utilities/opencvgui.py source/gcn/utils.py source/utilities/__init__.py source/main.py source/dlm/unet.py source/path_config.py source/dlm/fcn_tools.py source/dlm/mcunet.py source/unet_config.py source/gcn/weighting.py source/gcn/layers.py source/gcn/__init__.py source/gcn/train.py source/gcn/connectivity.py source/gcn/models.py source/gen_graph.py source/run_crf.py source/loaders/tploaders.py source/loaders/__init__.py source/run_mcdo.py source/dlm/__init__.py source/utilities/misc.py source/utilities/nparrays.py source/global_param.py source/train_gcn.py generate_components reconstruct_segmentation load_data_test main crf_refine vol_dsc get_unary2d main mean_vol_dsc vol_dsc mcdo_process generate_graph_roi main mean_vol_dsc vol_dsc gcn_inference focal_loss main train mean_vol_dsc ModelUnetAxial1 ModelUnetAxial1Montecarlo expand_to_size_np segment_vol_logits view_bin_seg_results_np load_chkpnt dice_score_np segment_vol dice_score_tensor crop_tensor_to_size_reference dsc_logits_to_predictions assemble_fts_save montecarlo_dropout expand_ft_to_size voxel_selection assemble_vol_save UnetDown UNet crop_and_concat_tensor crop_label_to_size UnetUp UnetConv get_connect_func connect_n6_krandom GraphConvolution GCN train test normalize normalize_adj graph_fts sparse_mx_to_torch_sparse_tensor reconstruct_from_n6 sparse_to_tuple accuracy reference_to_graph normalize_adj2 generate_mask show_mask_graph load_data encode_onehot map_voxel_nodes vol_graph_map add_feature BasicWeighting get_weighting_func Weighting1 get_pancreas_generator npy_to_nifti nifti_to_numpy npy_norm_to_nifti extend1_before expand_to_size_3d largest_connected_component3d bounding_cube extend2_before two_image_view three_image_view overlap_images GRAPH_PATH DILATION_PATH ROI_PREDICTION MASK_PATH LABELS_PATH save ROI_REFERENCE Y_TEST_PATH graph_fts shape generate_mask expand_dims sum format ENT_PATH astype reference_to_graph BIN_ENTROPY E_PATH float add_feature load FEATURES_PATH print WEIGHTS_PATH float32 ROI_VOLUME map_voxel_nodes bool array load uint8 reconstruct_from_n6 astype waitKey shape imshow LABELS_PATH ROI_VOLUME vol_graph_map range load_data load format print generate_graph_roi ROI_LIMITS now generate_components float dice_score_np range sum shape ndarray vol_dsc create_pairwise_bilateral npy_to_nifti create_pairwise_gaussian DenseCRF save argmax WORKING_DIR addPairwiseEnergy ndarray shape inference CRF_PREDICTION NIFTI_CRF_SEG mean_vol_dsc zeros load ROI_LIMITS reshape ROI_VOLUME ROI_PREDICTION setUnaryEnergy crf_refine format print print format model npy_to_nifti largest_connected_component3d save NIFTI_PREDICTION device get_organ_generator ROI_REFERENCE WORKING_DIR segment_vol bounding_cube to chkp_dir format asarray montecarlo_dropout load_chkpnt is_available load print ROI_LIMITS ROI_VOLUME ROI_PREDICTION voxel_selection mcdo_process ModelUnetAxial1Montecarlo pow ones_like time format model backward print zero_grad accuracy eval item focal_loss step vol_dsc model DILATION_PATH ROI_PREDICTION npy_to_nifti save focal_loss WORKING_DIR shape GRAPH_PREDICTION reconstruct_from_n6 astype eval mean_vol_dsc zeros load ROI_LIMITS NIFTI_GRAPH_SEG accuracy float32 ROI_VOLUME map_voxel_nodes bool seed time set_grad_enabled Adam parameters eval gcn_inference load_data manual_seed train cuda range GCN mean sum sum zeros shape expand_to_size_np uint8 normalize three_image_view astype waitKey imshow zeros array sigmoid print load load_state_dict expand_to_size_np uint8 logits_to_predictions model set_grad_enabled astype eval append to numpy assemble_vol expand_to_size_np model set_grad_enabled astype float32 sigmoid eval append to numpy assemble_vol zeros print shape save empty range len shape save empty range len load int uint8 format ENT_PATH NIFTI_BIN_ENTROPY print ROI_LIMITS ones DILATION_PATH astype npy_to_nifti shape BIN_ENTROPY save zeros E_PATH sum model set_grad_enabled npy_to_nifti Sigmoid log2 save NIFTI_ENT max shape append to sum range expand_to_size_np format ENT_PATH astype E_PATH float sigm uint8 int print now assemble_vol_save zeros train numpy array NIFTI_E cat int post_process asarray transpose weights_for sparse_to_tuple where append randint get_weights array range nll_loss format model print nll_loss accuracy eval item shape expand_dims concatenate len int astype zeros sum range zeros range zeros range zeros range zeros dtype range zeros uint8 range int zeros float range get list map set array GRAPH_PATH where MASK_PATH LABELS_PATH Y_TEST_PATH normalize_adj todense FloatTensor uniform normalize sum format LongTensor coo_matrix load FEATURES_PATH print sparse_mx_to_torch_sparse_tensor WEIGHTS_PATH eye array diags flatten dot sum array flatten sum array diags flatten sum array diags sum type_as double data Size astype float32 from_numpy shape int64 to_tuple range isinstance len load shape range extend2_before Nifti1Image uint8 astype save Nifti1Image uint8 astype save ones copy label sum range where zeros zeros COLOR_GRAY2BGR cvtColor zeros COLOR_GRAY2BGR cvtColor zeros round cvtColor | # Uncertainty Based GCN Refinement Strategy This repository contains the uncertainty analysis and GCN refinement used in our work ["Uncertainty-based Graph Convolutional Networks for Organ Segmentation Refinement"](https://openreview.net/pdf?id=UUie86nf5B). ## Overview Organ segmentation in CT volumes is an important pre-processing step in many computer assisted intervention and diagnosis methods. In recent years, convolutional neural networks have dominated the state of the art in this task. However, since this problem presents a challenging environment due to high variability in the organ’s shape and similarity between tissues, the generation of false negative and false positive regions in the output segmentation | 3,447 |
rodsom22/lwf_polyps | ['object localization'] | ['Understanding the effects of artifacts on automated polyp detection and incorporating that knowledge via learning without forgetting'] | retinanet/evaluate.py run_model.py retinanet/backend/__init__.py retinanet/callbacks/common.py retinanet/models/vgg.py retinanet/utils/coco_eval.py retinanet/utils/config.py artifact_detector.py retinanet/models/retinanet.py retinanet/utils/compute_overlap_py.py retinanet/callbacks/eval.py retinanet/keras_resnet/models/_1d.py retinanet/keras_resnet/backend/cntk_backend.py retinanet/utils/transform.py retinanet/utils/polyp_utils.py retinanet/models/__init__.py retinanet/models/mobilenet.py retinanet/utils/model.py retinanet/initializers.py retinanet/utils/keras_version.py retinanet/bin/convert_model.py retinanet/backend/theano_backend.py retinanet/keras_resnet/classifiers/__init__.py retinanet/train.py retinanet/preprocessing/coco.py retinanet/callbacks/__init__.py retinanet/keras_resnet/backend/__init__.py retinanet/keras_resnet/blocks/_1d.py retinanet/keras_resnet/blocks/__init__.py retinanet/keras_resnet/backend/theano_backend.py retinanet/keras_resnet/models/_3d.py retinanet/backend/cntk_backend.py retinanet/bin/debug.py retinanet/callbacks/coco.py retinanet/keras_resnet/blocks/_3d.py retinanet/keras_resnet/benchmarks/__init__.py retinanet/preprocessing/kitti.py retinanet/backend/common.py retinanet/models/inception.py retinanet/preprocessing/csv_generator.py retinanet/utils/anchors.py retinanet/keras_resnet/models/__init__.py retinanet/keras_resnet/layers/__init__.py retinanet/keras_resnet/models/_feature_pyramid_2d.py retinanet/utils/eval.py retinanet/keras_resnet/layers/_batch_normalization.py retinanet/layers/filter_detections.py retinanet/losses.py retinanet/keras_resnet/backend/tensorflow_backend.py retinanet/preprocessing/generator.py retinanet/backend/tensorflow_backend.py retinanet/keras_resnet/blocks/_2d.py retinanet/models/resnet.py retinanet/utils/eval_polyp.py retinanet/keras_resnet/models/_time_distributed_2d.py retinanet/layers/_misc.py retinanet/models/densenet.py retinanet/utils/visualization.py retinanet/preprocessing/pascal_voc.py retinanet/utils/image.py retinanet/keras_resnet/classifiers/_2d.py retinanet/keras_resnet/blocks/_time_distributed_2d.py retinanet/preprocessing/open_images.py retinanet/backend/dynamic.py retinanet/utils/colors.py retinanet/keras_resnet/models/_2d.py retinanet/keras_resnet/metrics.py retinanet/layers/__init__.py retinanet/keras_resnet/__init__.py main main create_generator get_session parse_args main create_generator get_session parse_args PriorProbability smooth_l1 focal focal2 create_models create_callbacks get_session check_args create_generators main parse_args model_with_weights makedirs shift bbox_transform_inv resize_images ones transpose where map_fn scatter_nd pad gather_nd top_k clip_by_value meshgrid range non_max_suppression main parse_args get_session run create_generator main parse_args CocoEval RedirectModel Evaluate top_1_categorical_error top_5_categorical_error resize resize resize __main__ bottleneck_1d basic_1d basic_2d bottleneck_2d basic_3d bottleneck_3d time_distributed_bottleneck_2d time_distributed_basic_2d ResNet18 ResNet34 ResNet50 ResNet200 ResNet101 ResNet152 BatchNormalization ResNet1D101 ResNet1D152 ResNet1D18 ResNet1D ResNet1D200 ResNet1D50 ResNet1D34 ResNet2D101 ResNet2D200 ResNet2D50 ResNet2D18 ResNet2D152 ResNet2D ResNet2D34 ResNet3D200 ResNet3D50 ResNet3D ResNet3D101 ResNet3D34 ResNet3D152 ResNet3D18 FPN2D152 FPN2D FPN2D34 FPN2D200 FPN2D50 FPN2D18 FPN2D101 TimeDistributedResNet200 TimeDistributedResNet34 TimeDistributedResNet TimeDistributedResNet50 TimeDistributedResNet152 TimeDistributedResNet101 TimeDistributedResNet18 FilterDetections filter_detections UpsampleLike RegressBoxes ClipBoxes Anchors densenet_retinanet DenseNetBackbone InceptionBackbone inc_retinanet mobilenet_retinanet MobileNetBackbone resnet50_retinanet resnet_retinanet ResNetBackbone resnet101_retinanet resnet152_retinanet default_regression_model assert_training_model default_submodels retinanet retinanet_bbox __build_model_pyramid default_polyp_model __build_pyramid __create_pyramid_features multi_submodels default_classification_model __build_anchors VGGBackbone vgg_retinanet assert_training_model convert_model load_model Backbone check_training_model backbone CocoGenerator _read_classes CSVGenerator _parse _read_annotations _open_for_csv Generator KittiGenerator generate_images_annotations_json get_labels load_hierarchy_children find_hierarchy_parent OpenImagesGenerator load_hierarchy PascalVocGenerator _findNode anchor_targets_bbox_multiclass generate_anchors AnchorParameters bbox_transform shift compute_gt_annotations anchor_targets_bbox guess_shapes layer_shapes anchors_for_shape make_shapes_callback evaluate_coco label_color compute_overlap parse_anchor_parameters read_config_file _get_annotations evaluate _get_detections _compute_ap evaluate_polyp _get_detections_p compute_resize_scale adjust_transform_for_image resize_image preprocess_image read_image_bgr TransformParameters apply_transform check_keras_version assert_keras_version keras_version keras_version_ok freeze f2 no_det_on_image get_components df_builder center_based_validation precision run_validation f1 recall shear rotation _random_vector random_transform colvec translation random_scaling scaling random_flip change_transform_origin random_rotation random_transform_generator random_shear random_translation transform_aabb draw_box draw_boxes draw_annotations draw_detections draw_caption replace to_csv ConfigProto PascalVocGenerator pascal_path coco_path val_annotations CSVGenerator CocoGenerator classes add_argument ArgumentParser config model parse_anchor_parameters evaluate_polyp precision f1 create_generator list set_session load_model data_dir len val_dir append parse_args evaluate_coco sum range check_keras_version convert_model format save_path mean read_config_file classes score_threshold recall items get_session evaluate print f2 val_annotations mode gpu makedirs annotations add_subparsers add_parser load_weights multi_gpu_model parse_anchor_parameters num_anchors retinanet_bbox backbone_retinanet model_with_weights compile join snapshot_path format snapshots RedirectModel TensorBoard tensorboard_dir data_dir Evaluate val_annotations ReduceLROnPlateau CocoEval append ModelCheckpoint makedirs join random_transform data_dir annotations CSVGenerator val_annotations classes random_transform_generator format backbone warn retinanet_bbox backbone create_models annotations create_generators image_path read_csv download_imagenet snapshot create_callbacks fit_generator set preprocess_image join compute_shapes weights array make_shapes_callback stack constant arange reshape transpose stack floatx cast meshgrid check_training_model save model_in model_out KittiGenerator main_dir kitti_path pascal_set random_transform_generator OpenImagesGenerator coco_set random_transform_group_entry random_transform draw_boxes size anchors compute_gt_annotations resize_image annotations shape imshow load_annotations resize draw_annotations load_image anchors_for_shape range namedWindow loop WINDOW_NORMAL run to_categorical float16 flow Input Session str set_session expand_dims train_test_split format astype fit_generator resource_filename ImageDataGenerator ConfigProto compile join load_data CSVLogger ModelCheckpoint fit str format chr ord str format chr ord str format chr ord str format chr ord str format chr ord str format chr ord str format chr ord str format chr ord append range enumerate int zip concatenate ones maximum pad gather_nd top_k _filter_detections cast set_shape append gather argmax max range creator retinanet modifier Model Input InceptionResNetV2 Input modifier MobileNet modifier Model float Input modifier ResNet101 ResNet50 Input ResNet152 Input range Input range Input range default_submodels create_pyramid_features num_anchors __build_pyramid multi_submodels assert_training_model retinanet __build_anchors default VGG19 Input VGG16 modifier assert_training_model _parse format enumerate _parse format append enumerate join append dict join dict join format find T bbox_transform compute_gt_annotations shape logical_or zip zeros enumerate len T bbox_transform compute_gt_annotations shape logical_or zip zeros enumerate len float64 argmax astype compute_overlap compute_output_shape _inbound_nodes array generate_anchors shift shapes_callback append zeros enumerate default T sqrt repeat ratios scales zeros len stack array T isinstance progressbar summarize set_name resize_image open list transpose predict_on_batch loadRes append load_image expand_dims range dump format size accumulate zip preprocess_image evaluate COCOeval coco format warn float64 min zeros max range ConfigParser read list map floatx array split insert tolist append max range len join format imwrite num_classes concatenate transpose size copy resize_image image_path draw_annotations load_annotations append load_image preprocess_image draw_detections range list num_classes progressbar size copy load_annotations range eps num_classes _compute_ap _get_annotations cumsum size _get_detections maximum argsort asscalar append zeros expand_dims argmax range compute_overlap imwrite draw_detections resize_image transpose image_path df_builder append load_image range format concatenate size copy mean load_annotations preprocess_image join time print to_csv draw_annotations join print df_builder _get_detections_p run_validation asarray convert astype float32 shape change_transform_origin warpAffine Sequential augment_image min max shape compute_resize_scale resize join __version__ map assert_keras_version layers count_nonzero uint8 connectedComponentsWithStats astype zeros CV_32S range get_components array open get_components array range open list replace no_det_on_image astype set center_based_validation unique read_csv int class_name list range append DataFrame read_csv len dot min max array array RandomState int LINE_AA putText astype FONT_HERSHEY_SIMPLEX rectangle putText FONT_HERSHEY_PLAIN astype draw_box format draw_box draw_caption format draw_box ndarray isinstance range draw_caption | rodsom22/lwf_polyps | 3,448 |
rodsveiga/rbm_flows_ising | ['speech recognition'] | ['An exact mapping between the Variational Renormalization Group and Deep Learning'] | modules/net.py modules/mc_ising2d.py modules/mc_ising2d_MF.py modules/rbm.py IsingMC IsingMC Net RBM | # Restricted Boltzmann Machine Flows and The Critical Temperature of Ising models ## Description Code for *Restricted Boltzmann Machine Flows and The Critical Temperature of Ising models*. Paper link: [arXiv:2006.10176](https://arxiv.org/abs/2006.10176) ## Prerequisites - [python](https://www.python.org/) >= 3.6 - [pytorch](https://pytorch.org/) - [scikit-learn](https://scikit-learn.org/stable/) - [numpy](https://www.numpy.org/) - [matplotlib](https://matplotlib.org/) | 3,449 |
rogertrullo/pytorch_convlstm | ['weather forecasting', 'video prediction'] | ['Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting'] | conv_lstm.py CLSTM_cell CLSTM weights_init normal_ __name__ fill_ | rogertrullo/pytorch_convlstm | 3,450 |
roggirg/count-ception_mbm | ['object localization'] | ['Count-ception: Counting by Fully Convolutional Redundant Counting'] | utils/create_datafiles.py train.py utils/dataset.py test.py utils/save_utils.py model.py SimpleBlock ConvBlock ModelCountception main main getTrainingExampleCells getMarkersCells getCellCountCells getLabelsCells MBM save_samples L1Loss load ckpt print DataLoader eval MBM load_state_dict device parse_args to format criterion backward step zero_grad Adam epochs parameters save forward range enumerate zeros range maximum sum range int range getCellCountCells zeros getMarkersCells pad getLabelsCells format set_title concatenate add_subplot tight_layout imshow savefig figure numpy | roggirg/count-ception_mbm | 3,451 |
rohith2506/facedetect | ['face detection', 'face alignment'] | ['Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks'] | models/server.py MultiClientServer | <h1 align="center">Face Detection as a Service</h1> Facedetect is a pure Go face detection API which depends on [mtcnn](https://github.com/ipazc/mtcnn). For more information on pigo, Follow this [paper](https://arxiv.org/pdf/1604.02878.pdf). ### Demo <img src="./test_images/me.png" alt="alt text" width="900"/> Current demo shows json result as ``` [ "Faces": [ { | 3,452 |
rohitrango/BC-regularized-GAIL | ['imitation learning'] | ['Augmenting GAIL with BC for sample efficient imitation learning'] | a2c_ppo_acktr/envs.py a2c_ppo_acktr/algo/__init__.py gail_experts/convert_to_pytorch.py print_results.py a2c_ppo_acktr/distributions.py evaluation.py generate_tmux_yaml.py print_experts.py a2c_ppo_acktr/algo/gail.py a2c_ppo_acktr/model.py a2c_ppo_acktr/algo/a2c_acktr.py plot_length_bar_graphs.py a2c_ppo_acktr/algo/ppo.py bc.py main.py a2c_ppo_acktr/arguments.py a2c_ppo_acktr/storage.py a2c_ppo_acktr/utils.py a2c_ppo_acktr/algo/kfac.py plot_graphs.py enjoy.py setup.py save_trajectories_images record_trajectories main evaluate save_trajectories_images record_trajectories save_trajectories main main check_last_name main main main get_args Bernoulli FixedCategorical FixedBernoulli Categorical DiagGaussian FixedNormal TransposeImage VecPyTorch make_env MaskGoal TransposeObs VecNormalize VecPyTorchFrameStack make_vec_envs TimeLimitMask NNBase CNNBase MLPBase Policy Flatten RolloutStorage _flatten_helper update_linear_schedule AddBias get_vec_normalize cleanup_log_dir init get_render_func A2C_ACKTR RED ExpertImageDataset Discriminator CNNDiscriminator ExpertDataset Flatten _extract_patches compute_cov_g compute_cov_a KFACOptimizer SplitBias update_running_stat PPO main numpy device save_dir seed str save_trajectories_images shape env_name load_state_dict make_vec_envs expanduser to append range manual_seed_all format get_args cleanup_log_dir manual_seed gamma num_episodes load join tanh log_dir print set_num_threads action_space load_model_name reset model_name Policy step join str get_args print transpose load_model_name save append save_dir array makedirs ppo_epoch update_linear_schedule recurrent_hidden_state_size save seed str env_name load_state_dict manual_seed_all clip_param use_proper_time_limits gail_experts_dir mean manual_seed join time evaluate makedirs load_model_name predict_reward model_name ExpertImageDataset use_gae median step num_processes DataLoader update_bc save_dir CNNDiscriminator max append expanduser to num_steps record_trajectories insert lower eval optimizer gail_epoch value_loss_coef min ExpertDataset ob_rms shape use_linear_lr_decay Discriminator range get_args PPO cleanup_log_dir gamma num_mini_batch tanh log_dir print set_num_threads action_space reset numpy gae_lambda copy_ device gail FloatTensor make_vec_envs format inf compute_returns deque A2C_ACKTR int entropy_coef RolloutStorage Policy len format print close get_vec_normalize mean eval reset recurrent_hidden_state_size make_vec_envs zeros tensor step append len len bcgail _obfilt RED _rev_obfilt gailgamma redsigma after_update gail_batch_size red rediters update num_env_steps decay int dirname split plot_results set_visible list ylabel ylim title savefig legend walk replace plot files startswith yscale xlabel load_results extend fill_between std split arange xticks sorted bar glob dirs tight_layout text keys dict sum parse_args recurrent_policy add_argument ArgumentParser DummyVecEnv ShmemVecEnv VecPyTorch eval VecNormalize startswith VecPyTorchFrameStack hasattr hasattr isinstance param_groups float data weight_init bias_init makedirs data view size contiguous unfold _extract_patches view ones size mean div_ cuda is_cuda view size contiguous mul_ sum pt_file add_argument ArgumentParser parse_args | # Augmenting GAIL with BC for sample efficient imitation learning Official implemention of the paper [Augmenting GAIL with BC for sample efficient imitation learning](https://arxiv.org/abs/2001.07798) in PyTorch. It builds upon the PyTorch implementation of popular RL algorithms repository (readme below). ## Installation 1. Install required packages from `requirements.txt` file. 2. Install this package with `pip install -e`. ## Reproducing results * To reproduce results for GAIL, run the `gail.sh` script. Be sure to change the default log and model paths in `a2c_ppo_acktr/arguments.py` first. The general script to run is ``` | 3,453 |
rohitrango/STNAdversarial | ['few shot learning'] | ['MA 3 : Model Agnostic Adversarial Augmentation for Few Shot learning'] | fewshot/few_shot/proto.py prototypical-networks/protonets/models/__init__.py prototypical-networks/protonets/engine.py prototypical-networks/protonets/models/factory.py prototypical-networks/scripts/predict/few_shot/run_eval.py prototypical-networks/protonets/utils/data.py fewshot/few_shot/losses.py prototypical-networks/protonets/models/stn.py prototypical-networks/setup.py fewshot/tests/test_maml.py prototypical-networks/protonets/data/__init__.py prototypical-networks/protonets/utils/log.py fewshot/tests/test_utils.py prototypical-networks/protonets/data/base.py prototypical-networks/scripts/train/few_shot/run_train.py fewshot/config.py fewshot/few_shot/core.py fewshot/few_shot/train.py fewshot/few_shot/utils.py prototypical-networks/scripts/train/few_shot/run_trainval.py prototypical-networks/scripts/train/few_shot/train.py fewshot/experiments/proto_nets.py prototypical-networks/scripts/predict/few_shot/eval.py prototypical-networks/scripts/train/few_shot/trainval.py fewshot/few_shot/callbacks.py prototypical-networks/protonets/data/omniglot.py fewshot/scripts/prepare_omniglot.py fewshot/few_shot/maml.py fewshot/tests/test_matching.py fewshot/scripts/prepare_mini_imagenet.py prototypical-networks/protonets/models/few_shot.py prototypical-networks/protonets/data/miniimagenet.py prototypical-networks/protonets/models/losses.py prototypical-networks/protonets/models/utils.py fewshot/few_shot/metrics.py fewshot/few_shot/models.py fewshot/few_shot/eval.py prototypical-networks/protonets/utils/__init__.py fewshot/experiments/matching_nets.py fewshot/few_shot/stn.py fewshot/tests/test_proto.py fewshot/few_shot/datasets.py fewshot/tests/test_few_shot.py prototypical-networks/protonets/utils/model.py fewshot/few_shot/matching.py fewshot/experiments/maml.py fewshot/read_csv.py prepare_meta_batch lr_schedule EvaluateMetrics ProgressBarLogger ReduceLROnPlateau DefaultCallback CSVLogger ModelCheckpoint LearningRateScheduler CallbackList Callback NShotTaskSampler create_nshot_task_label EvaluateFewShot prepare_nshot_task OmniglotDataset DummyDataset MiniImageNet evaluate IdentityTransformLoss NoThetaLoss kl_divergence replace_grad meta_gradient_step matching_net_predictions matching_net_episode categorical_accuracy conv_block get_few_shot_encoder FewShotClassifier AttentionLSTM BidrectionalLSTM Flatten GlobalMaxPool1d MatchingNetwork GlobalAvgPool2d functional_conv_block compute_prototypes proto_net_episode conv_block STNv0 STNv1 STNVAE Flatten batch_metrics fit gradient_step copy_weights setup_dirs pairwise_distances mkdir rmdir autograd_graph handle_alphabet handle_characters TestNShotSampler TestNShotLabel TestMAML DummyModel TestMatchingNets TestProtoNets TestAutogradGraphRetrieval TestDistance Engine STNEngine convert_dict CudaTransform SequentialBatchSampler EpisodicBatchSampler load load_class_images rotate_image scale_image convert_tensor extract_episode load_image_path load load_class_images rotate_image scale_image convert_tensor extract_episode load_image_path get_model register_model load_protonet_conv Flatten Protonet IdentityTransformLoss nothetaloss NoThetaLoss identitydistance kl_divergence conv_block STNv0 load_stn_vae STNVAE load_stn Flatten euclidean_dist load render_meter_values extract_meter_values load_trace convert_array load evaluate format_opts filter_opt merge_dict main main main long eval exp zip model zero_grad stn_reg_coeff stnidentityloss values functional_forward list OrderedDict append to range cat grad mean eval softmax replace_grad targetonly remove backward register_hook named_parameters loss_fn train step stnmodel g clip_grad_norm_ zero_grad unsqueeze stn_reg_coeff stnidentityloss log squeeze f encoder cat eval softmax targetonly matching_net_predictions backward clamp pairwise_distances parameters loss_fn train step stnmodel mm scatter unsqueeze zeros double conv2d max_pool2d batch_norm relu targetonly model backward log_softmax zero_grad pairwise_distances stnidentityloss eval softmax stn_reg_coeff loss_fn train step stnmodel compute_prototypes cat detach mean backward model zero_grad loss_fn train step m eval isinstance on_epoch_end set_model batch_size on_train_begin prepare_batch on_batch_end range CallbackList on_batch_begin item fit_function enumerate set_params print dict batch_metrics on_train_end on_epoch_begin len rmtree mkdir sqrt sum scale expand isinstance clone Conv2d modules zip BatchNorm2d Linear grad_fn _add_nodes format min rotate mkdir resize imread walk max imsave handle_characters format print mkdir rmdir walk open contiguous resize join sorted format glob print TransformDataset shape DataLoader ListDataset compose split size CudaTransform join len TransformDataset SequentialBatchSampler DataLoader ListDataset append compose EpisodicBatchSampler view rotate conv_block Sequential Flatten STNv0 STNVAE size expand items list keys items list format append keys items list array isinstance filter_opt items list tqdm add reset loss cat items list split items list items list copy load join list items format replace evaluate value print map sqrt eval dirname manual_seed cuda split partial Engine makedirs STNEngine train argmin merge_dict call format_opts load_trace | rohitrango/STNAdversarial | 3,454 |
rohitsuv/BitCoin_Price_Predictor | ['sentiment analysis', 'stock market prediction'] | ['Sentiment Analysis of Twitter Data for Predicting Stock Market Movements'] | Data_Extraction.py | rohitsuv/BitCoin_Price_Predictor | 3,455 |
roholazandie/EmpTransfo | ['text generation'] | ['EmpTransfo: A Multi-head Transformer Architecture for Creating Empathetic Dialog Systems'] | train_multihead.py pytorch_pretrained_bert/optimization_openai.py pytorch_pretrained_bert/optimization.py pytorch_pretrained_bert/tokenization_gpt2.py train.py pytorch_pretrained_bert/convert_transfo_xl_checkpoint_to_pytorch.py pytorch_pretrained_bert/modeling.py pytorch_pretrained_bert/modeling_openai.py train_full.py pytorch_pretrained_bert/modeling_transfo_xl_utilities.py pytorch_pretrained_bert/__main__.py pytorch_pretrained_bert/convert_gpt2_checkpoint_to_pytorch.py pytorch_pretrained_bert/file_utils.py evaluate.py utils.py pytorch_pretrained_bert/modeling_transfo_xl.py pytorch_pretrained_bert/tokenization_openai.py pytorch_pretrained_bert/tokenization_transfo_xl.py pytorch_pretrained_bert/convert_tf_checkpoint_to_pytorch.py pytorch_pretrained_bert/modeling_gpt2.py train_emotion_recognition.py eval_emotion_recognition.py pytorch_pretrained_bert/convert_openai_checkpoint_to_pytorch.py config.py interact.py pytorch_pretrained_bert/tokenization.py pytorch_pretrained_bert/__init__.py Config InteractConfig top_filtering build_input_from_segments get_emotions calculate_metrics run average_distributed_scalar get_emotion_label get_data_loaders build_input_from_segments pad_dataset train run build_input_from_segments top_filtering sample_sequence average_distributed_scalar get_data_loaders build_input_from_segments pad_dataset train average_distributed_scalar get_emotion_label get_data_loaders build_input_from_segments pad_dataset train average_distributed_scalar get_data_loaders build_input_from_segments pad_dataset train average_distributed_scalar get_emotion_label get_data_loaders build_input_from_segments pad_dataset train get_dataset_personalities normalize_answer get_dataset_for_daily_dialog get_dataset _prec_recall_f1_score download_pretrained_model _bleu AttrDict _f1_score convert_gpt2_checkpoint_to_pytorch convert_openai_checkpoint_to_pytorch convert_tf_checkpoint_to_pytorch convert_transfo_xl_checkpoint_to_pytorch cached_path s3_etag http_get s3_request s3_get read_set_from_file get_from_cache filename_to_url url_to_filename split_s3_path get_file_extension BertPreTrainingHeads BertMultipleChoice BertDoubleHeadsModel BertForQuestionAnswering BertEncoder BertSelfAttention BertForMaskedLM BertOnlyMLMHead BertOnlyNSPHead BertEmbeddings BertOutput BertPredictionHeadTransform BertAttention prune_linear_layer BertPooler gelu BertPreTrainedModel BertLMHeadModel BertForMultipleChoice BertConfig BertLayer BertForTokenClassification BertModel BertForNextSentencePrediction BertIntermediate BertForSequenceClassification BertForPreTraining swish BertLMPredictionHead load_tf_weights_in_bert BertSelfOutput GPT2LMHeadModel Block GPT2DoubleHeadsModel load_tf_weights_in_gpt2 MLP gelu GPT2PreTrainedModel GPT2Model GPT2LMHead Conv1D GPT2MultipleChoiceHead Attention GPT2Config OpenAIGPTMultiHeadModel OpenAIGPTBatchedEmotionChoiceHead OpenAIGPTLMHeadModel OpenAIGPTModel OpenAIGPTEmotionChoiceHead OpenAIGPTMultipleChoiceHead OpenAIGPTDoubleHeadLMEmotionRecognitionModel OpenAIGPTLMHead OpenAIGPTEmotionHead Attention Block OpenAIGPTConfig MLP gelu OpenAIGPTForEmotionDetection Conv1D OpenAIGPTPreTrainedModel swish OpenAIGPTDoubleHeadsModel load_tf_weights_in_openai_gpt DecoderLayer TransfoXLModel PositionalEmbedding load_tf_weights_in_transfo_xl RelLearnableDecoderLayer AdaptiveEmbedding RelLearnableMultiHeadAttn TransfoXLPreTrainedModel MultiHeadAttn RelPartialLearnableDecoderLayer TransfoXLLMHeadModel PositionwiseFF TransfoXLConfig RelMultiHeadAttn build_tf_to_pytorch_map RelPartialLearnableMultiHeadAttn ProjectedAdaptiveLogSoftmax LogUniformSampler sample_logits _LRSchedule BertAdam WarmupCosineWithWarmupRestartsSchedule WarmupCosineSchedule WarmupCosineWithHardRestartsSchedule WarmupConstantSchedule WarmupLinearSchedule ConstantLR OpenAIAdam BasicTokenizer WordpieceTokenizer load_vocab whitespace_tokenize _is_whitespace _is_control BertTokenizer _is_punctuation bytes_to_unicode get_pairs GPT2Tokenizer get_pairs text_standardize OpenAIGPTTokenizer LMOrderedIterator TransfoXLCorpus TransfoXLTokenizer LMMultiFileIterator get_lm_corpus LMShuffledIterator main list convert_tokens_to_ids chain sum len cumsum sort size min clone softmax tqdm decode top_filtering model print convert_tokens_to_ids tqdm multinomial build_input_from_segments temperature unsqueeze softmax item append range _f1_score max_length seed from_pretrained basicConfig manual_seed getLogger dataset_cache model_checkpoint get_dataset device dataset_path eval download_pretrained_model pformat info to from_json_file calculate_metrics all_reduce tensor get_world_size max convert_tokens_to_ids get_emotion_label items list get_dataset_for_daily_dialog format dataset_cache print min num_candidates dataset_path build_input_from_segments DataLoader shape pad_dataset info append tensor from_pretrained DistributedDataParallel warning device from_json_file set_special_tokens basicConfig initialize set_device to init_process_group model_checkpoint get_data_loaders set_num_special_tokens distributed eval pformat info fp16 print OpenAIAdam parameters local_rank len top_filtering model convert_tokens_to_ids multinomial build_input_from_segments temperature unsqueeze softmax item append range max_length encode decode print input append view get_dataset enumerate bool len STARTED COMPLETED ITERATION_STARTED MetricsLambda TensorboardLogger save rename run save_vocabulary exp list to_json_file eval_before_start update PiecewiseLinear add_event_handler ProgressBar close EPOCH_COMPLETED attach items join log_dir EPOCH_STARTED Engine ModelCheckpoint cached_path format mkdtemp info cached_path load save info tokenize __name__ cached_path load save info tokenize __name__ cached_path load list format isfile save info append tokenize __name__ values len len sum Counter values split method4 method3 method6 method7 method2 method5 method0 method1 format load_tf_weights_in_gpt2 print GPT2Model save GPT2Config state_dict format OpenAIGPTConfig print save load_tf_weights_in_openai_gpt OpenAIGPTModel state_dict str format print BertForPreTraining save load_tf_weights_in_bert from_json_file state_dict pop str join format __dict__ load_tf_weights_in_transfo_xl print TransfoXLLMHeadModel save abspath TransfoXLConfig state_dict encode hexdigest sha256 str join str urlparse exists path netloc urlparse startswith resource split_s3_path Object resource split_s3_path download_fileobj get update write close tqdm iter_content len get str s3_etag decode join list url_to_filename filter startswith listdir head makedirs set list size len contiguous copy_ device to detach load_variable join int format zip print transpose fullmatch from_numpy any getattr list_variables abspath append split load_variable int format zip print squeeze fullmatch from_numpy getattr list_variables abspath append split load pop int format zip print cumsum fullmatch from_numpy getattr split open update r_r_bias hasattr tie_weight layers out_layers tie_projs emb_layers r_w_bias transformer emb_projs untie_r zip append out_projs enumerate load_variable pop list format items join print transpose from_numpy list_variables keys build_tf_to_pytorch_map enumerate embedding view size einsum masked_fill_ sample cat detach OrderedDict strip split category category startswith startswith category ord append list range ord add set sub replace load join format TransfoXLCorpus print save exists pop print convert_openai_checkpoint_to_pytorch convert_transfo_xl_checkpoint_to_pytorch convert_tf_checkpoint_to_pytorch convert_gpt2_checkpoint_to_pytorch | roholazandie/EmpTransfo | 3,456 |
roimehrez/DDIS | ['template matching'] | ['Template Matching with Deformable Diversity Similarity'] | DDIS_code_matlab/utils/deepFeatures/image_analogies/flann-1.6.11-src/src/python/pyflann/util/__init__.py DDIS_code_matlab/utils/deepFeatures/image_analogies/flann-1.6.11-src/test/memusage_clustering.py DDIS_code_matlab/utils/deepFeatures/image_analogies/flann-1.6.11-src/src/python/pyflann/io/dataset.py DDIS_code_matlab/utils/deepFeatures/image_analogies/flann-1.6.11-src/test/test_nn_autotune.py DDIS_code_matlab/utils/deepFeatures/image_analogies/flann-1.6.11-src/src/python/pyflann/__init__.py DDIS_code_matlab/utils/deepFeatures/image_analogies/flann-1.6.11-src/bin/run_test.py DDIS_code_matlab/utils/deepFeatures/image_analogies/flann-1.6.11-src/src/python/pyflann/io/hdf5_dataset.py DDIS_code_matlab/utils/deepFeatures/image_analogies/flann-1.6.11-src/src/python/pyflann/io/npy_dataset.py DDIS_code_matlab/utils/deepFeatures/image_analogies/flann-1.6.11-src/src/python/pyflann/exceptions.py DDIS_code_matlab/utils/deepFeatures/image_analogies/flann-1.6.11-src/test/flann_uint_autotune.py DDIS_code_matlab/utils/deepFeatures/image_analogies/flann-1.6.11-src/src/python/pyflann/index.py DDIS_code_matlab/utils/deepFeatures/image_analogies/flann-1.6.11-src/test/memusage_nn.py DDIS_code_matlab/utils/deepFeatures/image_analogies/flann-1.6.11-src/src/python/pyflann/bindings/__init__.py DDIS_code_matlab/utils/deepFeatures/image_analogies/flann-1.6.11-src/bin/download_checkmd5.py DDIS_code_matlab/utils/deepFeatures/image_analogies/flann-1.6.11-src/test/test_clustering.py DDIS_code_matlab/utils/deepFeatures/image_analogies/flann-1.6.11-src/src/python/pyflann/io/__init__.py DDIS_code_matlab/utils/deepFeatures/image_analogies/flann-1.6.11-src/src/python/pyflann/io/binary_dataset.py DDIS_code_matlab/utils/deepFeatures/image_analogies/flann-1.6.11-src/test/test_index_save.py DDIS_code_matlab/utils/deepFeatures/image_analogies/flann-1.6.11-src/src/python/pyflann/bindings/flann_ctypes.py DDIS_code_matlab/utils/deepFeatures/image_analogies/flann-1.6.11-src/src/python/pyflann/util/weave_tools.py DDIS_code_matlab/utils/deepFeatures/image_analogies/flann-1.6.11-src/test/test_nn.py DDIS_code_matlab/utils/deepFeatures/image_analogies/flann-1.6.11-src/test/test_nn_index.py DDIS_code_matlab/utils/deepFeatures/image_analogies/flann-1.6.11-src/test/tools.py DDIS_code_matlab/utils/deepFeatures/image_analogies/flann-1.6.11-src/src/python/pyflann/io/dat_dataset.py file_md5 main AppURLopener FLANNException CommandException FLANN set_distance_type define_functions FLANNParameters CustomStructure ensure_2d_array FlannLib load_flann_library load check save load save load check is_number save __missing_h5py load check save CStruct CModule main _VmB memory stacksize resident _VmB memory stacksize resident Test_PyFLANN_clustering Test_PyFLANN_nn Test_PyFLANN_nn_index Test_PyFLANN_nn Test_PyFLANN_nn Test_PyFLANN_nn Test_PyFLANN_nn_index load_file md5 read update remove urlretrieve OptionParser print error parse_args md5_file flush flann_set_distance_type property RandomState dirname abspath exec reshape require size read open tofile fromfile isfile list check values splitext float split savetxt loadtxt save load FLANN build_index open read close index open split File | roimehrez/DDIS | 3,457 |
roksikonja/tsipy | ['gaussian processes'] | ['Iterative Correction of Sensor Degradation and a Bayesian Multi-Sensor Data Fusion Method'] | src/tsipy/utils/data.py tests/test_fusion_kernels.py tests/test_fusion_windows.py src/tsipy/correction/algorithms.py tests/utils_fusion.py src/tsipy/__init__.py docs/conf.py src/tsipy/correction/__init__.py src/tsipy/fusion/utils.py src/tsipy/utils/print.py tests/test_env.py tests/test_fusion_localgp.py scripts/exp_tsi_40_dataset.py src/tsipy/utils/__init__.py src/tsipy/fusion/local_gp.py src/tsipy/correction/generator.py src/tsipy/fusion/core.py src/tsipy/fusion/windows.py scripts/exp_virgo.py tests/test_fusion_svgp.py src/tsipy/fusion/kernels.py src/tsipy/__version__.py tests/test_correction.py src/tsipy/fusion/__init__.py src/tsipy/correction/exposure.py src/tsipy/utils/plot.py src/tsipy/correction/models.py setup.py src/tsipy/fusion/models_gp.py tests/utils.py scripts/exp_fusion.py tests/test_fusion_core.py scripts/exp_tsi_40.py parse_arguments load_dataset parse_arguments load_dataset parse_arguments load_dataset parse_arguments load_dataset _check_convergence correct_both _check_inputs correct_one correct_degradation compute_exposure SignalGenerator DegradationModel SmoothMRModel load_model MRModel ExpModel ExpFamilyMixin ExpLinModel NormalizeAndClip FusionModel MultiWhiteKernel LocalGPModel SVGPModel build_and_concat_label_mask_output _build_and_concat_label_mask build_and_concat_label_mask create_prediction_windows Windows create_fit_windows Window create_windows is_integer find_nearest_indices closest_binary_search find_nearest transform_time_to_unit denormalize make_dir create_dir get_window_indices is_sorted downsampling_indices_by_max_points nonclipped_indices get_time_output normalize downsample_signal sort_inputs plot_signals_history plot_signals_and_confidence configure_plot set_style plot_signals pformat pprint_block pprint cformat test_degradation_correct_one test_degradation_correct_both _run_degradation_correction test_dependencies test_qpsolvers test_normalize_and_clip test_kernel test_localgp_convergence_with_labels test_svgp_convergence_with_labels _run_svgp test_svgp_convergence_without_labels test_ranges_three test_ranges_two test_ranges_one test_windows_gather_data check_array_2d check_array_shape check_window_ranges check_array_approximate check_array_equal check_array_1d load_data_with_labels load_data_without_labels add_argument ArgumentParser join transform_time_to_unit copy rename read_csv read_hdf drop correct_both correct_one _check_convergence _check_inputs divide pprint append History range fit _check_convergence _check_inputs divide pprint append History range fit shape norm nan_to_num float astype divide lower ones reshape concatenate append pprint format format min pprint append max create_prediction_windows format fit_window_width print Windows min create_fit_windows Window copy shape pprint get_window_indices zip pprint_block max add_window x pred_window_width mkdir join make_dir strftime ones_like zeros_like array int min max linspace argsort argmin zeros_like enumerate append abs array enumerate logical_and less_equal greater_equal closest_binary_search update use set_xscale set_major_locator set_yscale set_xlabel set_xlim MultipleLocator set_ylabel legend set_ylim show join subplots plot configure_plot tight_layout savefig show join ppf subplots plot configure_plot tight_layout savefig fill_between show join subplots plot configure_plot tight_layout savefig enumerate str cformat print pformat print join cformat range _run_degradation_correction range _run_degradation_correction seed data check_array_approximate load_model get_exposure_nn get_signal_nn divide initial_fit degradation_model compute_exposure SignalGenerator dropna get_indices_nn values correct_degradation filterwarnings T reshape dot solve_qp array normalize_y normalize_and_clip normalize_x compute_normalization_values print NormalizeAndClip reshape array y_shift seed convert_to_tensor float64 equal build_and_concat_label_mask MultiWhiteKernel vstack cast randint range array zeros Linear check_array_approximate Matern12 SVGPModel load_data_with_labels MultiWhiteKernel fusion_model LocalGPModel plot_signals fit _run_svgp load_data_with_labels MultiWhiteKernel Matern12 White _run_svgp load_data_without_labels Matern12 fusion_model SVGPModel check_array_approximate fit check_window_ranges randn reshape create_windows linspace check_window_ranges randn reshape create_windows linspace check_window_ranges randn reshape create_windows linspace seed randn reshape check_array_equal gather_data create_windows linspace range enumerate check_array_shape norm build_and_concat_label_mask_output reshape hstack build_and_concat_label_mask vstack SignalGenerator sort_inputs x reshape hstack SignalGenerator sort_inputs x | <a href='https://tsipy.readthedocs.io/en/latest/?badge=latest'> <img src='https://readthedocs.org/projects/tsipy/badge/?version=latest' alt='Documentation Status' /> </a> <a href='https://github.com/roksikonja/tsipy/actions/workflows/ci.yml'> <img src='https://github.com/roksikonja/tsipy/actions/workflows/ci.yml/badge.svg' alt='CI status' /> </a> # TSIPY Python package for processing TSI signals. Full documentation is available [online](https://tsipy.readthedocs.io/). ## Installation | 3,458 |
rolandying/FusionLane | ['time series', 'semantic segmentation'] | ['FusionLane: Multi-Sensor Fusion for Lane Marking Semantic Segmentation Using Deep Neural Networks'] | preprocessing.py train.py create_my_record.py build_data.py dataset_util.py dataset.py mymodel.py inference.py xception.py evaluate.py _int64_list_feature image_seg_to_tfexample _bytes_list_feature ImageReader main _convert_dataset generate_captcha_image prepare_test_set recursive_parse_xml_to_dict int64_list_feature read_dataset make_initializable_iterator read_examples_list float_list_feature int64_feature bytes_feature bytes_list_feature main main network_model_fn model_generator atrous_spatial_pyramid_pooling random_crop_or_pad_image_and_label mean_image_addition random_flip_left_right_image_and_label eval_input_fn decode_labels mean_image_subtraction random_rescale_image_and_label input_fn get_filenames parse_record main preprocess_image xception_arg_scope xception int join ImageReader write output_dir ceil float range flush len join Glob _convert_dataset list_folder ImageCaptcha write range flush seed time move shuffle append listdir range append add_to_collection initializer TABLE_INITIALIZERS filenames_shuffle_buffer_size minimum from_tensor_slices shuffle_buffer_size shard concat size shuffle map interleave int64 repeat cast num_readers eval_input_fn read_examples_list Saver predictions evaluation_data_list subplots axis output_dir fromarray set_major_locator NullLocator Estimator infer_data_list imshow savefig predict LocalCLIDebugHook debug margins zip set_size_inches print subplots_adjust makedirs compute_mean_iou to_int32 concat decode_labels image argmax py_func to_float mean_image_addition squeeze get_collection identity cast polynomial_decay expand_dims piecewise_constant model_generator get_or_create_global_step copy map_fn mean_iou equal as_list uint8 isinstance print reshape sparse_softmax_cross_entropy confusion_matrix accuracy AdamOptimizer UPDATE_OPS int32 network scalar load new shape zeros array range enumerate range split range split to_float shape resize_images to_int32 to_float pad_to_bounding_box to_int32 concat maximum crop_to_bounding_box floor cast less cond random_uniform from_tensor_slices map make_one_shot_iterator get_next prefetch batch to_float reshape concat to_int32 convert_image_dtype set_shape parse_single_example decode_image random_crop_or_pad_image_and_label concat mean_image_subtraction set_shape TFRecordDataset from_tensor_slices get_filenames info flat_map map make_one_shot_iterator get_next repeat prefetch batch train_epochs replace evaluate LoggingTensorHook rmtree model_dir epochs_per_eval floor info append randint train range clean_model_dir | # FusionLane: This is the source code of paper [*FusionLane: Multi-Sensor Fusion for Lane Marking Semantic Segmentation Using Deep Neural Networks*](https://arxiv.org/abs/2003.04404). The source code of this project is modified based on [deeplabV3+](https://github.com/rishizek/tensorflow-deeplab-v3-plus). ## Setup Requirements: * Tensorflow>= 1.12 * Numpy * matplotlib * opencv-python ## Dataset This project uses the TFRecord format to consume data in the training and evaluation process. The TFRecord used in this project could is available at [here](https://drive.google.com/open?id=1wOLO--uDOpd6jECevHjf07-WMx_FEf_e "Tfrecord"). You can also find the testing images at [here](https://drive.google.com/open?id=15IKQ4eVhmbV7J3Ibu1PNXgC89gMnZvQP). | 3,459 |
ronaldraxon/dauruxu | ['sentiment analysis'] | ['From Pixels to Sentiment: Fine-tuning CNNs for Visual Sentiment Prediction'] | aplicacion/dauruxu/apps_administration/tests/tests.py aplicacion/dauruxu/data_registry/migrations/0003_auto_20200803_1642.py aplicacion/dauruxu/model_trainer/models/configuration/MTProperties.py aplicacion/dauruxu/prediction_dispatcher/models/storage/PredictionsHeader.py aplicacion/dauruxu/data_calendar/services/datemanagement/DateUtil.py aplicacion/dauruxu/utilities/NumpyUtilities.py aplicacion/dauruxu/data_calendar/services/configuration/DataCalendarPropertiesService.py aplicacion/dauruxu/prediction_dispatcher/views/serializers/PredictionSerializer.py aplicacion/dauruxu/prediction_dispatcher/services/core/ValidationService.py aplicacion/devops_test/devops_test/settings.py aplicacion/dauruxu/model_trainer/migrations/0001_initial.py aplicacion/dauruxu/model_trainer/views/serializer/ScheduledTaskSerializer.py aplicacion/dauruxu/user_management/admin.py aplicacion/dauruxu/user_management/urls.py aplicacion/dauruxu/prediction_dispatcher/apps.py aplicacion/dauruxu/prediction_dispatcher/services/storage/PredictionService.py aplicacion/dauruxu/model_trainer/services/mt_storage/ForecastModelRecordService.py aplicacion/dauruxu/apps_administration/views/serializers/PropertyListSerializer.py aplicacion/dauruxu/utilities/TypeUtilities.py aplicacion/dauruxu/prediction_dispatcher/services/core/PredictionManagementFacadeService.py aplicacion/dauruxu/utilities/PandasUtilities.py aplicacion/dauruxu/prediction_dispatcher/views/PredictionView.py aplicacion/dauruxu/data_calendar/models/configuration/DataCalendarProperties.py aplicacion/dauruxu/utilities/ParamManager.py aplicacion/dauruxu/data_calendar/apps.py aplicacion/dauruxu/model_trainer/services/mt_storage/MTSessionService.py aplicacion/dauruxu/data_registry/views/serializers/DataAssetRegistrySerializer.py aplicacion/dauruxu/prediction_dispatcher/models/configuration/PDProperties.py aplicacion/dauruxu/model_trainer/models/mt_storage/MTSession.py aplicacion/dauruxu/data_registry/apps.py aplicacion/dauruxu/data_calendar/tests/tests.py aplicacion/dauruxu/data_registry/urls.py aplicacion/dauruxu/data_preprocess/views/serializers/CleanDataAssetGetSerializer.py aplicacion/devops_test/devops_test/asgi.py aplicacion/dauruxu/data_preprocess/models/core/custom/CalendarIntegration.py aplicacion/dauruxu/data_preprocess/services/core/DataPreprocessReportService.py aplicacion/dauruxu/data_preprocess/views/serializers/DataAssetPreprocessReportGetSerializer.py aplicacion/dauruxu/dauruxu/wsgi.py aplicacion/dauruxu/data_preprocess/admin.py aplicacion/dauruxu/manage.py aplicacion/dauruxu/data_preprocess/models/core/custom/CMinMaxScaler.py aplicacion/dauruxu/dauruxu/asgi.py aplicacion/dauruxu/data_preprocess/models/storage/DataStatistics.py aplicacion/dauruxu/data_preprocess/services/storage/DataStatisticsService.py aplicacion/dauruxu/model_trainer/services/mt_core/TrainingService.py aplicacion/devops_test/devops_test/urls.py aplicacion/dauruxu/model_trainer/models/mt_core/LinearModel.py aplicacion/dauruxu/prediction_dispatcher/views/serializers/PredictionRequestSerializer.py aplicacion/dauruxu/apps_administration/migrations/0003_auto_20200810_1323.py aplicacion/dauruxu/data_registry/migrations/0001_initial.py aplicacion/dauruxu/prediction_dispatcher/services/core/ModelSummoningService.py aplicacion/dauruxu/model_trainer/views/ModelManagerView.py aplicacion/dauruxu/data_calendar/services/datemanagement/ColombianHolidays.py aplicacion/dauruxu/data_registry/tests/tests.py aplicacion/dauruxu/data_preprocess/views/serializers/DataAssetPreprocessReportPostSerializer.py aplicacion/dauruxu/data_preprocess/models/storage/CleanDataAsset.py aplicacion/dauruxu/data_preprocess/views/serializers/TransformationLayoutSerializer.py aplicacion/dauruxu/data_preprocess/services/core/PipelineComposerService.py aplicacion/dauruxu/data_registry/migrations/0006_auto_20200806_2052.py aplicacion/dauruxu/data_preprocess/models/core/custom/AggregateValuesWithCalendar.py aplicacion/devops_test/devops_test/wsgi.py aplicacion/dauruxu/data_preprocess/apps.py aplicacion/dauruxu/prediction_dispatcher/services/storage/PredictionHeaderService.py aplicacion/dauruxu/dauruxu/urls.py aplicacion/dauruxu/model_trainer/views/serializer/RetrainRequestSerializer.py aplicacion/dauruxu/data_preprocess/migrations/0004_auto_20200810_0911.py aplicacion/dauruxu/data_preprocess/views/DataPreprocessView.py aplicacion/dauruxu/model_trainer/models/mt_storage/ForecastModelRecord.py aplicacion/dauruxu/data_preprocess/migrations/0005_auto_20200810_0912.py aplicacion/dauruxu/data_preprocess/views/serializers/DataAssetStatisticsGetSerializer.py aplicacion/dauruxu/data_registry/migrations/0004_auto_20200803_2256.py aplicacion/dauruxu/user_management/models.py aplicacion/dauruxu/apps_administration/migrations/0001_initial.py aplicacion/dauruxu/data_preprocess/models/core/TransformationFactory.py aplicacion/dauruxu/data_calendar/views/serializer/CalendarSerializer.py aplicacion/dauruxu/user_management/apps.py aplicacion/dauruxu/model_trainer/urls.py aplicacion/dauruxu/apps_administration/admin.py aplicacion/dauruxu/data_preprocess/tests/tests.py aplicacion/dauruxu/model_trainer/services/mt_core/TrainingAssistant.py aplicacion/dauruxu/model_trainer/migrations/0002_auto_20200801_0155.py aplicacion/dauruxu/prediction_dispatcher/services/core/DataSummoningService.py aplicacion/dauruxu/utilities/EncodingUtilities.py aplicacion/dauruxu/prediction_dispatcher/migrations/0002_auto_20200801_0155.py aplicacion/dauruxu/data_calendar/services/datemanagement/HolidayManager.py aplicacion/dauruxu/data_preprocess/migrations/0001_initial.py aplicacion/dauruxu/data_registry/services/storage/DataAssetService.py aplicacion/dauruxu/prediction_dispatcher/models/storage/Prediction.py aplicacion/dauruxu/prediction_dispatcher/tests/tests.py aplicacion/dauruxu/data_preprocess/migrations/0002_auto_20200806_1027.py aplicacion/dauruxu/model_trainer/views/serializer/ForecastModelDBRecordSerializer.py aplicacion/dauruxu/data_preprocess/services/configuration/DataPreProcessPropertiesService.py aplicacion/dauruxu/data_registry/views/serializers/DataAssetRowSerializer.py aplicacion/dauruxu/data_registry/models/storage/DataAsset.py aplicacion/dauruxu/data_calendar/urls.py aplicacion/dauruxu/data_calendar/services/datemanagement/Holiday.py aplicacion/dauruxu/data_calendar/admin.py aplicacion/dauruxu/data_preprocess/migrations/0003_auto_20200806_1222.py aplicacion/dauruxu/prediction_dispatcher/services/core/TransformationSummoningService.py aplicacion/dauruxu/user_management/tests.py aplicacion/dauruxu/prediction_dispatcher/urls.py aplicacion/dauruxu/data_preprocess/models/core/custom/TwiceSquareRoot.py aplicacion/dauruxu/data_calendar/services/CalendarService.py aplicacion/dauruxu/prediction_dispatcher/views/serializers/PredictionHeaderSerializer.py aplicacion/dauruxu/data_calendar/services/datemanagement/DateManager.py aplicacion/dauruxu/model_trainer/models/mt_core/ForecastModelFactory.py aplicacion/devops_test/manage.py aplicacion/dauruxu/data_preprocess/models/configuration/DataPreprocessProperties.py aplicacion/dauruxu/model_trainer/models/mt_core/SVMModel.py aplicacion/dauruxu/apps_administration/services/PropertyService.py aplicacion/dauruxu/model_trainer/apps.py aplicacion/dauruxu/apps_administration/models/Property.py aplicacion/dauruxu/data_preprocess/models/storage/DataAssetPreprocessReport.py aplicacion/dauruxu/prediction_dispatcher/migrations/0001_initial.py aplicacion/dauruxu/model_trainer/migrations/0003_auto_20200803_2256.py aplicacion/dauruxu/dauruxu/settings.py aplicacion/dauruxu/apps_administration/apps.py aplicacion/dauruxu/prediction_dispatcher/admin.py aplicacion/dauruxu/data_calendar/models/Calendar.py aplicacion/dauruxu/data_preprocess/urls.py aplicacion/dauruxu/data_registry/models/configuration/DataRegistryProperties.py aplicacion/dauruxu/user_management/views.py aplicacion/dauruxu/model_trainer/services/mt_storage/TaskManagementService.py aplicacion/dauruxu/prediction_dispatcher/services/configuration/PDPropertiesService.py aplicacion/dauruxu/model_trainer/views/serializer/MTSessionSerializer.py aplicacion/dauruxu/model_trainer/models/mt_core/XGBTreeModel.py aplicacion/dauruxu/data_registry/migrations/0005_auto_20200805_1929.py aplicacion/dauruxu/model_trainer/models/mt_core/ForecastModel.py aplicacion/dauruxu/utilities/FormatUtilities.py aplicacion/dauruxu/model_trainer/services/configuration/MTPropertiesService.py aplicacion/dauruxu/data_registry/migrations/0002_auto_20200803_1609.py aplicacion/dauruxu/data_registry/views/serializers/DataAssetSerializer.py aplicacion/dauruxu/apps_administration/urls.py aplicacion/dauruxu/prediction_dispatcher/views/serializers/PredictionRequestHeaderSerializer.py aplicacion/dauruxu/data_registry/admin.py aplicacion/dauruxu/model_trainer/services/mt_core/TrainingManagerService.py aplicacion/dauruxu/data_registry/services/configuration/DataRegistryPropertiesService.py aplicacion/dauruxu/model_trainer/tests/tests.py aplicacion/dauruxu/apps_administration/views/PropertyView.py aplicacion/dauruxu/data_calendar/views/CalendarView.py aplicacion/dauruxu/apps_administration/migrations/0002_auto_20200805_1929.py aplicacion/dauruxu/model_trainer/admin.py aplicacion/dauruxu/user_management/forms.py aplicacion/dauruxu/model_trainer/models/mt_core/RandomForestModel.py aplicacion/dauruxu/prediction_dispatcher/services/core/ModelExecutionService.py aplicacion/dauruxu/data_calendar/migrations/0001_initial.py aplicacion/dauruxu/data_registry/views/DataAssetView.py main AppAdminConfig Migration Migration Migration Property PropertyType PropertyBehaviorTime PropertyKey PropertyService PropertyUnit DefaultProperties PropertyList PropertyListSerializer C4UfbDataCalendarConfig Migration Calendar DataCalendarProperties CalendarService DataCalendarPropertiesService FixedHolidays EasterBasedHolidays NonFixedHolidays get_day_of_year_of_date get_weekday_of_date get_days_since_previous_fortnight_of_date get_payday_of_previous_fortnight is_labor_day get_month_of_date get_days_of_year is_leap_year get_year_of_date get_payday_of_next_fortnight get_days_to_next_fortnight_of_date is_weekend get_day_of_date validate_date_splitters validate_date validate_date_format validate_date_format_year_month_day shift_holiday_to_next_monday_if_not_monday days_to_add validate_date_length shift_payday_to_previous_friday_if_weekend_or_holiday is_a_valid_date validate_date_format_day_month_year days_to_subtract is_a_valid_year Holiday get_pascua get_list_of_holidays is_business_day_with_saturday get_viernes_santo_date is_holiday get_corpus_christi_date is_business_day_without_saturday get_jueves_santo_date get_dia_de_todos_los_santos_date get_ascencion_de_jesus_date get_navidad get_dia_de_la_raza_date get_independencia_de_colombia get_sagrado_corazon_de_jesus_date get_san_jose_date get_annio_nuevo get_batalla_de_boyaca get_independencia_cartagena_date get_epifania_reyes_magos_date what_holiday_is get_asuncion_de_la_virgen_date get_san_pedro_y_san_pablo_date get_domingo_de_ramos_date get_dia_del_trabajo get_inmaculada_concepcion HolidayDetail HolidayList CalendarGeneration CalendarSerializer DataPreprocessConfig Migration Migration Migration Migration Migration DataPreprocessProperties create_new_MinMaxScaler TransformationsFactory AggregateValesWithCalendar CalendarIntegration CMinMaxScaler TwiceSquareRoot DataMiningTask CleanDataAsset DataAssetPreprocessReport DataPreprocessStatus DataPreprocessManager DataStatistics DataPreprocessPropertiesService DataPreprocessReportService PipelineComposer DataStatisticsService DataAssetPreprocessReportGetView CleanDataAssetGetView DataAssetPreprocessReportPostView DataAssetStatisticsGetView CleanDataAssetGetSerializer DataAssetPreprocessReportGetSerializer DataAssetPreprocessReportPostSerializer DataAssetStatisticsGetSerializer TransformationLayoutSerializer DataRegistryConfig Migration Migration Migration Migration Migration Migration DataRegistryProperties DataAsset DataMiningTask DataRegistryPropertiesService DataAssetService DataAssetQuery DataAssetCreation DataAssetUpdate DataAssetRegistrySerializer DataAssetRowSerializer DataAssetSerializer root_redirect ModelTrainerConfig Migration Migration Migration MTProperties ForecastModel ForecastModelFactory LinearModel RandomForestModel SVMModel XGBTreeModel ModelStatus ForecastModelRecord MTSession MTPropertiesService TrainingAssistant TrainingManager ExplorationType TrainingService ForecastModelRecordService MTSessionService TaskManagementService TrainingScheduleInfo ReTrainingRegression SynchronousTrainingRegression AsynchronousTrainingRegression MTPointManagement ForecastModelDBRecordSerializer MTSessionSerializer RetrainRequestSerializer ScheduledTaskSerializer MTPointScheduledTasksSerializer ModelExecutorConfig Migration Migration FDProperties Prediction PredictionManager PredictionsHeader PredictionsHeaderManager FDPropertiesService ModelExecutorService PredictionManagementService ValidationService PredictionHeaderService PredictionService PredictionRequest PredictionReport PredictionHeaderSerializer PredictionRequestHeaderSerializer __validate_code__ PredictionRequestSerializer PredictionSerializer UserManagementConfig LoginUserForm CreateUserForm classification_models login_page register_page home users EncodingUtilities utc_to_local NumpyUtilities PandasUtilities create_settings_parser tuple_from_list_and_remove_item get_tuple_from_enum get_tuple_from_dict_key get_correct_instance_from_object_as_string main execute_from_command_line argv setdefault CharField Parameter IN_PATH IntegerField SmallIntegerField CharField DateField BooleanField strftime strftime validate_date validate_date validate_date validate_date validate_date get_year_of_date validate_date month relativedelta date year validate_date month relativedelta day date year shift_payday_to_previous_friday_if_weekend_or_holiday validate_date relativedelta get_days_since_previous_fortnight_of_date shift_payday_to_previous_friday_if_weekend_or_holiday get_days_to_next_fortnight_of_date validate_date relativedelta strptime validate_date_splitters validate_date_length date isinstance strptime strptime validate_date days_to_add weekday days_to_subtract validate_date weekday name validate_date date year name date relativedelta name date relativedelta name date relativedelta name date relativedelta name date relativedelta name date relativedelta str validate_date value name year str validate_date value name year str validate_date value name year str validate_date value name year str validate_date value name year str validate_date value name year str validate_date value shift_holiday_to_next_monday_if_not_monday name year str validate_date value shift_holiday_to_next_monday_if_not_monday name year str validate_date value shift_holiday_to_next_monday_if_not_monday name year str validate_date value shift_holiday_to_next_monday_if_not_monday name year str validate_date value shift_holiday_to_next_monday_if_not_monday name year str validate_date value shift_holiday_to_next_monday_if_not_monday name year str validate_date value shift_holiday_to_next_monday_if_not_monday name year get_list_of_holidays validate_date get_list_of_holidays validate_date validate_date validate_date Parameter IN_PATH Parameter IN_PATH IntegerField DateTimeField CharField TextField UUIDField BinaryField DateTimeField DataPreprocessManager TextField CharField BooleanField UUIDField TextField CharField ForeignKey Parameter IN_PATH Parameter IN_PATH Parameter IN_PATH TransformationLayoutSerializer CharField ListField DictField CharField ChoiceField DateTimeField TextField IntegerField CharField BooleanField Parameter IN_PATH Parameter IN_PATH ListField JSONField JSONField CharField dict UUIDField BinaryField DateTimeField TextField CharField BooleanField DecimalField CharField TextField Parameter IN_PATH Parameter IN_PATH ListField JSONField CharField JSONField ScheduledTaskSerializer UUIDField PredictionManager ForeignKey TextField CharField UUIDField DateTimeField IntegerField CharField PredictionsHeaderManager Parameter IN_PATH PredictionSerializer debug format validate_code_for_model validate_code_for_process PredictionRequestSerializer is_valid POST save CreateUserForm login POST is_valid user_cache LoginUserForm add_argument ArgumentParser append append append pop eval | ronaldraxon/dauruxu | 3,460 |
ronniemi/explainAnomaliesUsingSHAP | ['outlier detection', 'anomaly detection'] | ['Explaining Anomalies Detected by Autoencoders Using SHAP'] | ExplainAnomaliesUsingSHAP.py ExplainAnomaliesUsingSHAP | ronniemi/explainAnomaliesUsingSHAP | 3,461 |
rosinality/ocr-pytorch | ['semantic segmentation'] | ['Segmentation Transformer: Object-Contextual Representations for Semantic Segmentation'] | train.py vovnet.py distributed.py util.py dataset.py clr.py transform.py scheduler.py model.py anneal_linear Phase CycleScheduler anneal_tanh anneal_cospow anneal_poly anneal_cos ADE20K collate_data synchronize DistributedSampler get_world_size all_gather get_rank reduce_loss_dict conv2d conv1d OCR anneal_linear Phase CycleScheduler anneal_tanh anneal_cospow anneal_poly anneal_cos data_sampler show_result train valid Pad Compose ToTensor Resize RandomCrop Normalize RandomHorizontalFlip RandomBrightness RandomScale get_colormap show_segmentation intersection_union _OSA_stage vovnet57 VoVNet conv1x1 vovnet39 _OSA_module conv3x3 _vovnet vovnet27_slim cos cos len shape zeros max enumerate barrier get_world_size from_buffer dumps get_world_size loads zip append to max cat get_world_size model backward zero_grad aux_weight tqdm set_description item to step enumerate reduce_loss_dict show model tqdm n_class eval set_description save zip all_gather item to sum max intersection_union enumerate histc load pad type float32 fromarray as_tensor make_grid div stack device to numpy load items list replace VoVNet OrderedDict load_state_dict | rosinality/ocr-pytorch | 3,462 |
roymor1/OptimalStrategiesAgainstGenerativeAttacks | ['anomaly detection'] | ['Optimal Strategies Against Generative Attacks'] | training/gim_img_training.py theory/theoretic_game_value.py authentication_eval/eval_gim_on_authentication.py train_gim_on_imgs.py authentication_eval/authentication_score.py models/model_blocks.py train_gim_on_gaussians.py training/utils.py plots/plot_game_value_of_rho_delta.py plots/plot_game_value_of_n_over_m_for different_rho_values.py authentication_eval/agents.py data_handling/prepare_voxceleb_dataset.py data_handling/utils.py baselines/siamese/models.py training/gim_gaussian_trainer.py data_handling/img_datasets.py baselines/arcface/models.py models/gim_gaussian_models.py models/gim_basic_models.py training/logger.py models/gim_img_models.py training/gim_gaussian_training.py plots/plot_game_value_of_n_over_m_for_diff_d.py training/gim_img_trainer.py training/checkpoints.py main get_args main get_args replay_impersonator rand_source_impersonator Impersonator Authenticator write_results eval_authenticator_and_impersonator comp_acc eval_dis_on_multiple_im get_au_function get_gim_authenticator get_args get_gim_impersonator get_impersonator get_siamese_au_function get_dataset get_im_function get_arcface_authenticator eval_game_for_pair get_exp_args_from_dir get_arcface_au_function get_authenticator main eval_authentication_task get_siamese_authenticator separate_bn_paras ArcFace bottleneck_IR l2_norm Bottleneck Flatten bottleneck_IR_SE get_block Backbone test_arc_face get_blocks ArcfaceHead SEModule SiameseNet ProtonetEmbeddingNet SimpleEmbeddingNetL2 SimpleEmbeddingNet process_pil_image_bw process_pil_image_glow process_pil_image load_glow_image adjust_dynamic_range load_image OmniglotGIMDataSet ArcfaceDataSet ImgGIMDataSet get_args vid_to_images id_vids_to_imgs id_largest_vid_to_imgs create_dataset main vids_to_id_imgs list_files_rec list_dir list_files GIMMeanStdStat GIMFCStat GIMDoubleFCStat GIMMeanLogVarStat GIMLogVarStat GIMMeanStat GIMStdStat GIMMeanStdFcStat get_au test_au get_im GIMGaussianAuthenticator GIMGaussianDis GIMGaussianImpersonator test_im Img2ImgAdaInResModule EnvDecoder GIMFaceImpersonator get_au Img2ImgDownModule get_im GIMFaceAuthenticator test_au AdaInImage2Image Encoder Img2ImgAdaInUpModule GIMFaceDis test_im upscale2d SGEncoderBlock SGLayerEpilogue Upscale2d NoiseLayer ResBlockDown ada_in SGDisBlock test_img_att_conv_block SGInputBlock Flatten SGFromImgBlock custom_std test_res_block_up SelfAttention ResBlockD StyleEstimator PixelNormLayer AdaResBlockUp2 weights_init AdaResBlockUp ImgAttention ResBlockUp test_ada_res_block_up MLP SGDecoderBlock test_ada_in ImgAttConvBlock BlurLayer SGToImgBlock ResMLP AdaResBlock2 ResMLP2 SGConstInputBlock AdaResBlock StyleMod Identity test_img_attention test_mlp main get_args plot_game_value_of_inv_delta_for_diff_rho plot_game_value_of_n_div_m_for_diff_d main get_args plot_game_value_of_rho_delta ml_attacker_game_value_rho_delta get_args game_value_as_func_of_n game_value_mnk game_value_diff_ml_vs_opt_rho_delta game_value_rho_delta CheckpointIO GIMGaussianTrainer train au_train_step train_gim_gaussian im_train_step GIMImgTrainer sample_and_save_imgs au_train_step save_imgs train_gim_imgs im_eval_step eval_step train_epoch im_train_step au_eval_step Logger adjust_batch_size requires_grad get_latest_ckpt freeze_module num_parameters unfreeze_module lin_interpulation clones list_files load_args DataParallelMock GlobalStep accumulate compute_grad2 get_device save_args test_compute_grad2 load get_au get_im train_gim_gaussian pretrained load_state_dict add_argument ArgumentParser train_gim_imgs OmniglotGIMDataSet ImgGIMDataSet size cat size stack append randint range len print format dirname makedirs mean act size islice tqdm DataLoader roc_auc_score cat append comp_acc to numpy enumerate detach list format print eval_authenticator_and_impersonator keys to get_au load_state_dict to load_state_dict get_im embedding_dim SiameseNet load_state_dict to ProtonetEmbeddingNet ArcFace size Backbone load_state_dict to get_authenticator eval_authenticator_and_impersonator get_exp_args_from_dir get_impersonator join get_latest_ckpt load_args format print to_csv eval_game_for_pair dirname append DataFrame makedirs OmniglotGIMDataSet ImgGIMDataSet eval_authentication_task get_device get_dataset div norm extend ArcFace randn print size randint Backbone arcface float32 convert convert augment_transforms adjust_dynamic_range resize augment_transforms convert adjust_dynamic_range resize isinstance transpose from_numpy ByteTensor augment_transforms unsqueeze div adjust_dynamic_range resize array fromarray VideoCapture read format COLOR_BGR2RGB print resize append release cvtColor join format vid_to_images extend save enumerate makedirs join format vid_to_images save enumerate makedirs join format vid_to_images save append max enumerate makedirs join format print vids_to_id_imgs list_dir create_dataset expanduser list expanduser list append expanduser join walk GIMGaussianImpersonator MLP GIMMeanStdStat GIMGaussianDis GIMGaussianAuthenticator normal get_au print size au normal im get_im print size EnvDecoder GIMFaceImpersonator AdaInImage2Image Encoder GIMFaceAuthenticator Encoder GIMFaceDis GIMMeanStdFcStat randn randn zeros size sqrt var shape view expand shape view ada_in size print randn view model randn print size ResBlockUp model print randn size AdaResBlockUp mlp randn print MLP size model print randn size ImgAttConvBlock model print randn size ImgAttention show format arange game_value_func plot xlabel grid ylabel title legend zeros range plot_game_value_of_inv_delta_for_diff_rho show plot game_value_as_func_of_n xlabel grid ylabel legend show format game_value_func zeros_like xlabel xscale ylabel colorbar title linspace logspace pcolor meshgrid range plot_game_value_of_rho_delta log gammainc zeros game_value_mnk arange log gammainc log gammainc backward step zero_grad mean train forward backward step zero_grad mean train forward list get_global_step au_train_step add_scalar do_global_step k tqdm im_train_step mean save m to range n format print train DataParallelMock resume_from_ckpt DataParallel Logger get_device to len cpu add_imgs eval eval get_global_step view add_scalar im_eval_step islice tqdm mean DataLoader append to au_eval_step enumerate len global_step au_train_step sample_and_save_imgs view im_eval_step islice do_global_step eval_step im_train_step tqdm mean DataLoader save update_learning_rate to enumerate append add_scalar list format print DataParallelMock train_epoch tqdm resume_from_ckpt DataParallel Logger get_device to range len format print min YELLOW RESET parameters data list add_ named_parameters dict keys size size sum grad parameters parameters join makedirs join list_files max int min floor print requires_grad_ compute_grad2 randn | # OptimalStrategiesAgainstGenerativeAttacks This repository contains the official code for the paper: **Optimal Strategies Against Generative Attacks** Roy Mor, Erez Peterfreund, Matan Gavish, Amir Globerson This work was published as an oral presentation in the International Conference of Learning Representations ([ICLR][iclr]), 2020. ## Table of Contents * [Setup](#setup) * [Usage](#usage) * [Game value plots](#game-value-plots) * [Training GIM on Gaussians](#training-gim-on-gaussians) | 3,463 |
roytseng-tw/px2graph_lab | ['graph generation', 'scene graph generation'] | ['Pixels to Graphs by Associative Embedding'] | util/rcnn/__init__.py data/genome/ref.py util/setup.py util/viz.py util/rcnn/generate_anchors.py util/calc.py util/loader.py opts.py util/rcnn/generate.py util/colormap.py infer.py models/hg.py data/genome/driver/utils.py models/layers.py data/genome/driver/api.py util/rcnn/anchor_target_layer.py task/graph.py models/px2graph.py main.py task/base.py data/genome/driver/local.py util/rcnn/proposal_layer.py eval.py data/genome/driver/models.py util/rcnn/proposal_target_layer.py util/img.py process_pred evaluate_pred load_predictions main main main mkdir_p parse_command_line num_objects initialize get_gt_triplets get_rpn_proposals get_id get_bboxes get_obj_classes get_graph preload_sample_info setup_val_split load_image get_rels image_dims GetAllImageIds GetImageData GetQAofImage GetSceneGraphOfImage GetRegionDescriptionsOfImage GetRegionGraphOfRegion GetAllQAs GetQAofType GetImageIdsInRange ListToDict ParseGraphLocal SaveSceneGraphsById ParseGraphVRD AddAttrsToSceneGraphs GetAllImageData GetSceneGraphsModified fix_words GetSceneGraph GetSceneGraphsVRD GetSceneGraphs GetAllQAs GetAllRegionDescriptions MapObject QA Object Image Graph QAObject Synset Attribute Region Relationship ParseRegionDescriptions ParseImageData RetrieveData ParseSynset ParseGraph ParseQA GetDataDir initialize hourglass dense cnv max_pool gated top_k res_block gather avg_pool initialize Task Task tf_decode_boxes match_and_shuffle tf_relation_recall huber_loss flip_boxes _relation_recall box_inbounds activation_loss hinge_loss push_apart compare_classes push_pull_loss softmax_loss classify_loss py_cpu_nms bce_loss iou top_k_threshold tf_iou py_max_match mse_loss colormap nms visualize_heatmap line gauss get_transform draw_circle draw_text draw_polygon draw_gaussian resize transform draw_bbox crop color_heatmap Loader average_gradients merge_gpu_results init_task init_model visualize_preds _unmap _compute_targets AnchorTargetLayer _vis_proposals _get_image_blob im_proposals imdb_proposals generate_anchors _scale_enum _whctrs _ratio_enum _mkanchors _filter_boxes ProposalLayer _sample_rois _compute_targets _get_bbox_regression_labels ProposalTargetLayer join list print tqdm transform edict range image_dims stack min edict concatenate process_pred triplet_boxes triplets _relation_recall get_gt_triplets join list print evaluate_pred load_predictions tqdm mean idxs range len init_model batchsize TRAINABLE_VARIABLES new_optim Saver Session run str restore init_task exp_id start_threads get_collection placeholder img_as_ubyte visualize_preds predict restore_session global_variables_initializer parse_command_line get_id start_epoch zeros bool flatten save last_round exp FileWriter setup_summaries flush items learning_rate graph add_summary num_rounds makedirs branch batchsize class_thr ArgumentParser obj_thr open list exp_id argv split_str parse_known_args suppress_output gpu_num continue_exp devnull range rel_thr restore_session format gpu_choice mkdir_p keys print add_argument add_mutually_exclusive_group split scale_feats num_rounds len ones loadtxt arange setup_val_split use_rpn print max image_dims reshape tolist max image_dims get_graph get_graph get_graph zeros num_objects get_graph enumerate reshape get_obj_classes get_graph zeros range len str extend RetrieveData RetrieveData range extend str RetrieveData ParseImageData str RetrieveData GetImageData str RetrieveData GetImageData str RetrieveData GetImageData str str GetImageData extend RetrieveData ParseQA str GetImageData extend RetrieveData ParseQA str GetImageData extend RetrieveData ParseQA load join GetDataDir open load join ParseRegionDescriptions GetAllImageData append GetDataDir open load join GetAllImageData append GetDataDir open load ListToDict str ParseGraphLocal GetAllImageData GetDataDir open ListToDict int GetAllImageData GetSceneGraph relationships append listdir GetDataDir len Object append Relationship MapObject print load join str collect mkdir GetDataDir open load join collect copy append open rename relationships objects predicate enumerate load ListToDict int GetAllImageData GetSceneGraph relationships open listdir len Object Image Attribute append Relationship enumerate HTTPSConnection getresponse read request loads Object ParseSynset Attribute append Relationship Image append Region append QA QAObject Synset cnv split cnv activation int stack range to_float reshape max_pool stack expand_dims range equal len to_int32 num_feats concat max_nodes max_pool stack top_k reverse enumerate generate_anchors astype float32 compute Munkres gather expand_dims size where append maximum minimum ones pad sparse_softmax_cross_entropy_with_logits pow maximum one_hot reduce_sum less abs square gather squeeze where to_float exp squeeze greater where stack gather gather_nd cond range copy to_float minimum exp to_int32 reshape astype float32 maximum stack gather_nd unstack floor ceil gather argmax len minimum reshape maximum to_float minimum reshape maximum tile reshape tile iou astype intersect1d zip enumerate to_int32 compare_classes reshape astype float32 zeros range float32 copy pi dot eye zeros float dot get_transform inv T int norm imrotate transform zeros float array ones order_filter copy zeros uint8 astype gauss color_heatmap resize fromarray Draw exp arange maximum fromarray Draw text astype rectangle shape circle polygon shape line get_sample initialize task Loader print Task import_module dataset reduce_mean stack zip list print concat reduce_mean stack keys range len opt_fn model print average_gradients min get_collection float32 placeholder batchsize setup_network batch_split import_module UPDATE_OPS int32 gpu_num setup_grad range get_variable axis Digraph colormap str defaultdict squeeze len node Counter imshow render savefig relationships append Axes update astype close set add_axes zip enumerate join set_size_inches text edge add_patch argsort figure Rectangle split fill empty format subplots set_title text draw axis tight_layout add_patch imshow Rectangle MAX_SIZE min astype float32 shape resize append im_list_to_blob float max reshape forward _get_image_blob copy toc show format print average_time hstack _vis_proposals num_images im_proposals tic Timer imread range image_path_at vstack _ratio_enum array hstack sqrt _whctrs round _mkanchors _whctrs _mkanchors zeros BBOX_INSIDE_WEIGHTS shape BBOX_NORMALIZE_STDS bbox_transform BBOX_NORMALIZE_MEANS BBOX_NORMALIZE_TARGETS_PRECOMPUTED array _get_bbox_regression_labels size min _compute_targets ascontiguousarray choice bbox_overlaps argmax max append | # Pixels to Graphs by Associative Embedding Tensorflow training pipeline for: **Pixels to Graphs by Associative Embedding.** [Alejandro Newell](http://www-personal.umich.edu/~alnewell/) and [Jia Deng](http://web.eecs.umich.edu/~jiadeng/). Neural Information Processing Systems (NIPS), 2017. [arXiv:1706.07365](https://arxiv.org/abs/1706.07365) **Update (March 25, 2018):** Changed default optimization to deal with diverging models, so code should no longer freeze in the middle of training. Also, finally added pretrained models! ## Getting started #### Python 3 package requirements: (code tested on Python 3.5 and 3.6) - tensorflow_gpu (1.3.0) - numpy | 3,464 |
rpatrik96/lod-wmm-2019 | ['time series'] | ['Stochastic Weight Matrix-based Regularization Methods for Deep Neural Networks'] | src/networks.py src/ignite_main.py src/wmm.py src/ignite_callbacks.py src/utilities.py src/descriptors.py src/datasets.py TimeSeriesData MIDIData ModelParameters DataSetDescriptor IgniteCustomLogger wmm_callback early_stopping_score objective_fn MNISTNet JSBChoralesNet LSTMNet TimeSeriesTestNet CIFAR10Net SequentialMNIST generate_search_space loss_fn_selector model_selector generate_basic_arguments metrics_selector folder_generator WeightShuffle WMMBase WeightReinit run batch_size STARTED interval Loss create_supervised_trainer COMPLETED ITERATION_COMPLETED device problem_type create_supervised_evaluator count run str len log_validate test_batch_size add_event_handler generate_datasets base_dir log_init listdir EPOCH_COMPLETED metrics_selector checkpoint join EarlyStopping timestamp lr_scheduling log_test WmmObject loss_fn ModelCheckpoint makedirs join dirname abspath makedirs parameters lower JSBChoralesNet MNISTNet LSTMNet CIFAR10Net SequentialMNIST binary_cross_entropy nll_loss lower mse_loss cross_entropy lower CosineAnnealingLR ModelParameters model_selector SGD lower | # Weight Matrix Modification - LOD2019 paper supplement ### Authors: Patrik Reizinger & Bálint Gyires-Tóth ## General description: The project contains the source files (without the datasets) which implement WMM _(Weight Matrix Modification,)_ a weight matrix-based regularization technique for Deep Neural Networks. In the following the proposed methods are shortly introduced, including the evaluation framework. ### Weight shuffling Weight shuffling is based on the assumption that locally the coefficients of a weight matrix are correlated. Based on this, we hypothesize that shuffling the weight within a rectangular window - which is under the beforementioned assumption a way of adding correlated noise to the weights - may help reduce overfitting. ### Weight reinitialization Weight reinitialization aims to reduce overfitting while partially reinitializing the weight matrix, thus in the case of a non-representative training set it may reduce the over-/underestimation of the significance regarding specific input data. ## Usage: The code can be run with typing the following command: | 3,465 |
rpeloff/multimodal-one-shot-learning | ['dynamic time warping', 'one shot learning'] | ['Multimodal One-Shot Learning of Speech and Images'] | kaldi_features/flickr_audio/get_kaldi_fbank.py src/mltoolset/neural_blocks.py src/mltoolset/_globals.py kaldi_features/flickr_audio/get_iso_words.py src/mltoolset/data/__init__.py kaldi_features/flickr_audio/flickr8k_data_prep_vad.py src/multimodal/speech.py src/mltoolset/data/load_data.py kaldi_features/flickr_audio/get_kaldi_mfcc.py src/multimodal/train_vision.py src/multimodal/test_speech.py src/dtw/__init__.py src/mltoolset/data/batch.py kaldi_features/flickr_audio/combine_archives.py src/mltoolset/siamese.py kaldi_features/tidigits/combine_archives.py kaldi_features/tidigits/kaldi_to_numpy.py src/mltoolset/__init__.py src/mltoolset/training.py src/multimodal/train_speech.py kaldi_features/tidigits/tidigits_segments_prep.py src/mltoolset/nearest_neighbour.py src/multimodal/vision.py kaldi_features/flickr_audio/plotting.py src/multimodal/test_vision.py src/mltoolset/data/batchfeeders.py src/multimodal/test_multimodal.py kaldi_features/flickr_audio/data_io.py src/dtw/setup.py src/mltoolset/utils.py main check_arguments read_kaldi_ark_from_scp load_flickr8k_padded_bow_labelled load_flickr8k_padded_visionsig pad_sequences main ctm_to_dict check_argv main ctm_to_dict check_argv get_flickr8k_train_test_dev main check_argv main check_argv array_to_pixels tile_images make_patch_spines_invisible scale_unit_interval main check_arguments read_kaldi_ark_from_scp main check_argv main check_argv fast_knn_cos _parse_conv_property_list _pooling2d_layer max_pooling2d_layer global_pooling2d_layer dense_layer conv2d_layer avg_pooling2d_layer dropout_layer hidden_layers dropout_channel_layer convolutional_layers cos_distance cos_similarity loss_triplets_cos siamese_network siamese_triplet_network get_training_op literal_to_activation_func is_list_like literal_to_float_list set_logger literal_to_optimizer_class literal_to_initializer_func save_image _sample_k_examples_for_labels create_episode_label_set _get_originator_mask sample_triplets batch_k_examples_for_p_concepts _get_all_triplets_from_indices batch_few_shot_episodes _get_difficult_label_mask sample_dataset_triplets make_train_test_split batch_dataset TripletsBatchIterator generate_matches_vec FewShotTrialIterator BatchIterator load_flickraudio load_omniglot pad_sequences load_mnist load_tidigits preprocess_images build_speech_model softmax_classifier build_embedding_network load_model_params test_mulitmodal_few_shot_model _get_unpadded_image main check_arguments main check_arguments _get_unpadded_image test_few_shot_model main check_arguments test_few_shot_model train_few_shot_model main check_arguments train_few_shot_model main check_arguments zero_to_infinity_generator softmax_classifier build_embedding_network build_vision_model add_argument ArgumentParser load list format asarray savez print out_file check_arguments keys len int min append zeros round enumerate load join sorted print pad_sequences shuffle zeros keys enumerate load join sorted print pad_sequences shuffle zeros keys enumerate add_argument exit ArgumentParser print_help join fadir ctm_to_dict now outdir check_argv set makedirs sorted int subset datadir features round print join format array_to_pixels vstack save fa_textdir values savez_compressed fromarray read_kaldi_ark_from_scp get_flickr8k_train_test_dev scp_fn mean mkdir std copy zeros range scale_unit_interval shape reshape copy shape scale_unit_interval zeros range set_frame_on set_visible values npz_fn dataset transpose matmul l2_normalize int activation matmul get_variable list is_list_like flatten zip_longest zip enumerate int activation upper conv2d bias_add get_variable upper _parse_conv_property_list is_list_like reshape zip append enumerate append is_list_like isinstance constant equal cond copy copy to_float cos_distance greater maximum reduce_sum histogram scalar get_or_create_global_step get_collection UPDATE_OPS exponential_decay scalar optimizer_class join setFormatter getLogger addHandler StreamHandler Formatter setLevel INFO FileHandler print eval format type AdagradOptimizer MomentumOptimizer GradientDescentOptimizer AdamOptimizer AdadeltaOptimizer sigmoid tanh leaky_relu relu variance_scaling_initializer zeros_initializer glorot_normal_initializer glorot_uniform_initializer set_yticks close imshow set_xticks savefig dirname figure gca makedirs convert_to_tensor TF_FLOAT cast random_shuffle split batch_and_drop_remainder shuffle apply zip batch from_tensor_slices flat_map shuffle take repeat batch map constant set_diag ones _get_all_triplets_from_indices logical_not where cond zeros expand_dims equal create_episode_label_set flat_map shuffle repeat batch convert_to_tensor from_tensor_slices concatenate flat_map shuffle map int64 take cast zip fill values bool constant while_loop logical_and reduce_sum cast int32 gather expand_dims range equal random_shuffle gather expand_dims equal where unique_with_counts reduce_sum cast int32 gather expand_dims equal unique_with_counts reduce_sum cast int32 gather expand_dims equal zeros range int len load remove print dirname isfile savez_compressed makedirs asarray isfile isfile resize_images expand_dims cast convolutional_layers hidden_layers l2_normalize build_embedding_network info triplet_semihard_loss sparse_softmax_cross_entropy build_embedding_network placeholder copy loss_triplets_cos siamese_triplet_network cond softmax_classifier placeholder_with_default equal test_mulitmodal_few_shot_model set_logger load_mnist set_random_seed speech_model_dir output_dir seed params_file strftime placeholder multivariate_dtw_cost_cosine getattr Graph vision_model_dir info load_model_params vars random_seed fast_knn_cos load_tidigits get_next image save_image Session run dtw_post_process squeeze logical_and strftime placeholder sum range format close FileWriter zip info flush enumerate join graph add_summary array scalar join format exists info range model_dir abspath exists test_few_shot_model load_flickraudio build_speech_model get_or_create_global_step Saver info load_omniglot build_vision_model list format keys feats_type center_padded save_base_params copy train_few_shot_model items literal_to_optimizer_class get_training_op model_version scalar RunOptions get_or_create_global_step Variable merge_all placeholder Saver ConfigProto scalar triplet_semihard_loss sparse_softmax_cross_entropy build_embedding_network placeholder copy loss_triplets_cos flatten siamese_triplet_network cond softmax_classifier placeholder_with_default equal | rpeloff/multimodal-one-shot-learning | 3,466 |
rpeloff/multimodal_one_shot_learning | ['dynamic time warping', 'one shot learning'] | ['Multimodal One-Shot Learning of Speech and Images'] | kaldi_features/flickr_audio/get_kaldi_fbank.py src/mltoolset/neural_blocks.py src/mltoolset/_globals.py kaldi_features/flickr_audio/get_iso_words.py src/mltoolset/data/__init__.py kaldi_features/flickr_audio/flickr8k_data_prep_vad.py src/multimodal/speech.py src/mltoolset/data/load_data.py kaldi_features/flickr_audio/get_kaldi_mfcc.py src/multimodal/train_vision.py src/multimodal/test_speech.py src/dtw/__init__.py src/mltoolset/data/batch.py kaldi_features/flickr_audio/combine_archives.py src/mltoolset/siamese.py kaldi_features/tidigits/combine_archives.py kaldi_features/tidigits/kaldi_to_numpy.py src/mltoolset/__init__.py src/mltoolset/training.py src/multimodal/train_speech.py kaldi_features/tidigits/tidigits_segments_prep.py src/mltoolset/nearest_neighbour.py src/multimodal/vision.py kaldi_features/flickr_audio/plotting.py src/multimodal/test_vision.py src/mltoolset/data/batchfeeders.py src/multimodal/test_multimodal.py kaldi_features/flickr_audio/data_io.py src/dtw/setup.py src/mltoolset/utils.py main check_arguments read_kaldi_ark_from_scp load_flickr8k_padded_bow_labelled load_flickr8k_padded_visionsig pad_sequences main ctm_to_dict check_argv main ctm_to_dict check_argv get_flickr8k_train_test_dev main check_argv main check_argv array_to_pixels tile_images make_patch_spines_invisible scale_unit_interval main check_arguments read_kaldi_ark_from_scp main check_argv main check_argv fast_knn_cos _parse_conv_property_list _pooling2d_layer max_pooling2d_layer global_pooling2d_layer dense_layer conv2d_layer avg_pooling2d_layer dropout_layer hidden_layers dropout_channel_layer convolutional_layers cos_distance cos_similarity loss_triplets_cos siamese_network siamese_triplet_network get_training_op literal_to_activation_func is_list_like literal_to_float_list set_logger literal_to_optimizer_class literal_to_initializer_func save_image _sample_k_examples_for_labels create_episode_label_set _get_originator_mask sample_triplets batch_k_examples_for_p_concepts _get_all_triplets_from_indices batch_few_shot_episodes _get_difficult_label_mask sample_dataset_triplets make_train_test_split batch_dataset TripletsBatchIterator generate_matches_vec FewShotTrialIterator BatchIterator load_flickraudio load_omniglot pad_sequences load_mnist load_tidigits preprocess_images build_speech_model softmax_classifier build_embedding_network load_model_params test_mulitmodal_few_shot_model _get_unpadded_image main check_arguments main check_arguments _get_unpadded_image test_few_shot_model main check_arguments test_few_shot_model train_few_shot_model main check_arguments train_few_shot_model main check_arguments zero_to_infinity_generator softmax_classifier build_embedding_network build_vision_model add_argument ArgumentParser load list format asarray savez print out_file check_arguments keys len int min append zeros round enumerate load join sorted print pad_sequences shuffle zeros keys enumerate load join sorted print pad_sequences shuffle zeros keys enumerate add_argument exit ArgumentParser print_help join fadir ctm_to_dict now outdir check_argv set makedirs sorted int subset datadir features round print join format array_to_pixels vstack save fa_textdir values savez_compressed fromarray read_kaldi_ark_from_scp get_flickr8k_train_test_dev scp_fn mean mkdir std copy zeros range scale_unit_interval shape reshape copy shape scale_unit_interval zeros range set_frame_on set_visible values npz_fn dataset transpose matmul l2_normalize int activation matmul get_variable list is_list_like flatten zip_longest zip enumerate int activation upper conv2d bias_add get_variable upper _parse_conv_property_list is_list_like reshape zip append enumerate append is_list_like isinstance constant equal cond copy copy to_float cos_distance greater maximum reduce_sum histogram scalar get_or_create_global_step get_collection UPDATE_OPS exponential_decay scalar optimizer_class join setFormatter getLogger addHandler StreamHandler Formatter setLevel INFO FileHandler print eval format type AdagradOptimizer MomentumOptimizer GradientDescentOptimizer AdamOptimizer AdadeltaOptimizer sigmoid tanh leaky_relu relu variance_scaling_initializer zeros_initializer glorot_normal_initializer glorot_uniform_initializer set_yticks close imshow set_xticks savefig dirname figure gca makedirs convert_to_tensor TF_FLOAT cast random_shuffle split batch_and_drop_remainder shuffle apply zip batch from_tensor_slices flat_map shuffle take repeat batch map constant set_diag ones _get_all_triplets_from_indices logical_not where cond zeros expand_dims equal create_episode_label_set flat_map shuffle repeat batch convert_to_tensor from_tensor_slices concatenate flat_map shuffle map int64 take cast zip fill values bool constant while_loop logical_and reduce_sum cast int32 gather expand_dims range equal random_shuffle gather expand_dims equal where unique_with_counts reduce_sum cast int32 gather expand_dims equal unique_with_counts reduce_sum cast int32 gather expand_dims equal zeros range int len load remove print dirname isfile savez_compressed makedirs asarray isfile isfile resize_images expand_dims cast convolutional_layers hidden_layers l2_normalize build_embedding_network info triplet_semihard_loss sparse_softmax_cross_entropy build_embedding_network placeholder copy loss_triplets_cos siamese_triplet_network cond softmax_classifier placeholder_with_default equal test_mulitmodal_few_shot_model set_logger load_mnist set_random_seed speech_model_dir output_dir seed params_file strftime placeholder multivariate_dtw_cost_cosine getattr Graph vision_model_dir info load_model_params vars random_seed fast_knn_cos load_tidigits get_next image save_image Session run dtw_post_process squeeze logical_and strftime placeholder sum range format close FileWriter zip info flush enumerate join graph add_summary array scalar join format exists info range model_dir abspath exists test_few_shot_model load_flickraudio build_speech_model get_or_create_global_step Saver info load_omniglot build_vision_model list format keys feats_type center_padded save_base_params copy train_few_shot_model items literal_to_optimizer_class get_training_op model_version scalar RunOptions get_or_create_global_step Variable merge_all placeholder Saver ConfigProto scalar triplet_semihard_loss sparse_softmax_cross_entropy build_embedding_network placeholder copy loss_triplets_cos flatten siamese_triplet_network cond softmax_classifier placeholder_with_default equal | Multimodal One-Shot Learning of Speech and Images ================================================= Overview -------- This repository contains the full code recipe for building models that can acquire novel concepts from only *one* paired audio-visual example per class, without receiving any hard labels. These models can then be used to match new continuous speech input to the correct visual instance (e.g. the spoken word "lego" is matched to the visual signal of lego, without receiving any textual labels, and after seeing only a single paired speech-image example of a different *lego* instance). This is *multimodal one-shot learning*, a new task which we formalise in the following paper: - R. Eloff, H. A. Engelbrecht, H. Kamper, "Multimodal One-Shot Learning of Speech and Images," *arXiv preprint arXiv:1811.03875*, 2018. [[arXiv](https://arxiv.org/abs/1811.03875)] Please cite this paper if you use the code. Datasets -------- The following datasets are required for these experiments: | 3,467 |
rpryzant/neutralizing-bias | ['text generation'] | ['Automatically Neutralizing Subjective Bias in Text'] | deprecated/interpretation/mutual_information.py deprecated/scripts/data/make_vocab.py deprecated/eval/score_results.py deprecated/scripts/data/tag_corpusfile.py src/tagging/train.py deprecated/scripts/data/wiki_crawl/util.py baselines/decoders.py deprecated/scripts/data/tighten_word_data.py baselines/encoders.py baselines/evaluation.py deprecated/scripts/data/wiki_crawl/gain_wiki_revision_text.py deprecated/scripts/sandbox/words_distribution.py src/tagging/features.py deprecated/turking/statement_quality_scripts/parse_statement_quality_results.py deprecated/scripts/eval/run_eval.py harvest/add_tags.py deprecated/scripts/data/diff_vec_clustering_attempt/diff_explore.py deprecated/scripts/sandbox/unique_test_words.py deprecated/turking/statement_quality_scripts/resultsfile_to_mturk.py deprecated/scripts/data/diff_vec_clustering_attempt/vector_diff.py baselines/utils.py deprecated/scripts/data/get_revision_ids.py src/tagging/model.py src/tagging/utils.py deprecated/scripts/data/make_tok_data.py deprecated/eval/utils.py harvest/crawl_revision_text.py deprecated/scripts/data/gen_data_from_crawl.py src/joint/utils.py baselines/models.py deprecated/scripts/data/top_n_vocab.py deprecated/scripts/eval/build_eval_classifier.py src/shared/constants.py deprecated/scripts/data/diff_vec_clustering_attempt/make_corpus_vectors.py src/shared/beam.py deprecated/scripts/sandbox/edit_type_distribution.py baselines/data.py baselines/inference.py deprecated/turking/statement_quality_scripts/corpusfile_to_mturk.py harvest/get_revision_ids.py src/seq2seq/model.py deprecated/scripts/data/make_attribute_vocab.py src/shared/data.py harvest/gen_data_from_crawl.py src/seq2seq/utils.py deprecated/scripts/data/wiki_crawl/join_crawl_outputs.py src/joint/inference.py src/joint/train.py baselines/ops.py deprecated/scripts/data/DEPRECIATED/gen_data_from_crawl.py baselines/cuda.py deprecated/scripts/eval/batch_bleu.py src/joint/model.py src/seq2seq/transformer_decoder.py deprecated/scripts/eval/inspect_outputs.py src/tagging/baseline.py src/shared/args.py baselines/train.py deprecated/interpretation/feature_importance.py deprecated/scripts/data/fake_rel_pos.py deprecated/scripts/data/DEPRECIATED/gen_parallel_corpus.py src/seq2seq/train.py deprecated/turking/statement_quality_scripts/mturk_to_datafile.py get_side_info minibatch read_nmt_data sample_replace extract_attributes unsort build_vocab_maps get_minibatch split_with_diff CorpusSearcher StackedAttentionLSTM AttentionalLSTM LSTMEncoder get_precision_recall get_metrics inference_metrics get_bleu decode_minibatch ids_to_toks evaluate_lpp decode_dataset get_precisions_recalls_DEPRECIATED bleu get_edit_distance bleu_stats TextClassifier get_latest_ckpt SeqModel attempt_load_model FeedForwardAttention BilinearAttention FcTube FFNN config_key_string config_val_string nested_iter main detokenize parse_results_file detokenize printr importance_scores mi find_matches is_spelling_diff clean_wikitext should_keep get_tok_labels sent_generator tokenize rm_refs Revision SalienceCalculator timeout pos_rel_from_words TimeoutError words_from_toks is_single_word_diff diff_dmp extract_sents find_matches is_spelling_diff load_metadata BLEU clean_wikitext should_filter extract_examples get_tok_labels ratio tokenize get_sents prep_wikitext load_metadata BLEU extract_examples ratio tokenize diff read_vecs set_diff diff read_vecs url2diff go gen_revisions bcolors print_withcolor html2diff wiki_text_clean bcolors url2diff print_withcolor html2diff get_bleu tgt_unique histogram src_unique detokenize CorpusSearcher detokenize main get_pos_dep url2diff go gen_revisions bcolors print_withcolor html2diff wiki_text_clean find_matches is_spelling_diff clean_wikitext should_keep get_tok_labels sent_generator tokenize rm_refs Revision JointModel train_for_epoch run_eval StackedAttentionLSTM AttentionalLSTM Seq2Seq BilinearAttention LSTMEncoder PointerSeq2Seq PositionwiseFeedForward TransformerDecoderLayer AverageAttention TransformerDecoder generate_relative_positions_matrix MultiHeadedAttention relative_matmul run_eval get_bleu build_optimizer build_loss_fn dump_outputs train_for_epoch bleu bleu_stats coverage_loss Beam get_dataloader softmax get_tok_labels noise_seq get_examples data_for_scipy Featurizer gelu identity AddCombine ConcatCombine BertForMultitask BertForMultitaskWithFeaturesOnTop TaggerFromDebiaser is_ranking_hit tag_hits build_optimizer run_inference build_loss_fn to_probs train_for_epoch softmax len enumerate append append defaultdict zip diff append zip list get_side_info set build_vocab_maps zip split_with_diff CorpusSearcher insert next enumerate LongTensor FloatTensor Variable sample_replace cuda max LongTensor Variable get_minibatch cuda len enumerate list zip Counter append max range len sum array zip list zip len zip LongTensor model Variable transpose from_numpy array append cuda range cat isinstance index unsort append Tensor numpy enumerate len append write decode_minibatch ids_to_toks unsort minibatch range flush len get_precision_recall get_bleu get_edit_distance error_rate get_metrics from_pickle decode_dataset append view model ones write minibatch loss_criterion range cuda CrossEntropyLoss flush len glob join load int get_latest_ckpt print load_state_dict sorted items isinstance append split list input print system choice add eval results_dir listdir keys range len decode strip eval hexdigest open str print load items list get_feature_names defaultdict print Featurizer transpose numpy range enumerate len log sub join parse replace strip strip_code sub rm_refs max range len strip spell enumerate join word_tokenize is_spelling_diff get_tok_labels diff split list isinstance find_matches should_keep sent_tokenize tqdm lower append append startswith enumerate join raw_parse to_conll zip append range enumerate len diff_match_patch diff_cleanupSemantic diff_main open split exp min Counter append sum max range len word_tokenize SpellChecker diff diff_dmp is_spelling_diff diff find_matches should_filter sent_tokenize get_tok_labels split clean_wikitext extract_sents isinstance tqdm word_tokenize strip diff diff_match_patch diff_cleanupSemantic diff_main lower word_tokenize join join sent_tokenize diff max enumerate len join parse replace strip strip_code sub items list get_sents prep_wikitext iter enumerate append open split set OKBLUE str ENDC OKGREEN replace print end HEADER group DOTALL finditer compile enumerate prettify strip BeautifulSoup match find_all append DOTALL range compile len urlopen read join replace url2diff str print tqdm zip append wiki_text_clean len print join gen_revisions show set_title add_subplot hist figure join words_from_toks NLP zip join get_pos_dep tqdm open split is_single_word_edit model backward tuple coverage_loss clip_grad_norm_ zero_grad tqdm parameters tag_loss_mixing_prob numpy tagging_loss_fn coverage_lambda append train step debias_loss_fn enumerate tuple min close tqdm dump_outputs numpy enumerate open clamp transpose unsqueeze arange reshape transpose permute matmul ones NLLLoss cuda list BertAdam Adam named_parameters parameters filter bert_encoder zip loss_fn list zip print strip split encode append len ones len CrossEntropyLoss exp max append join shuffle argmax open defaultdict uniform pad append sum next set noise_seq diff enumerate join print tqdm get_tok_labels split category_input len load dump DataLoader TensorDataset tensor get_examples open csr_matrix tqdm featurize_batch vstack zip append zeros numpy range len tagger_from_debiaser num_tok_labels debias_weight CrossEntropyLoss tuple tqdm append float numpy enumerate append tolist softmax zip list len range zip softmax | rpryzant/neutralizing-bias | 3,468 |
rsantana-isg/GP_word2vec | ['word embeddings'] | ['Reproducing and learning new algebraic operations on word embeddings using genetic programming'] | GP_Evolve_Answers.py mycosine GP_Definitions Compute_Portion_Question_Accuracy Init_GP_MOP word_fitness4 word_fitness1 Compute_Question_Accuracy Apply_GP_MOP Read_Questions mycorrelation corrcoef cosine_similarity reshape split int list permutation similar_by_vector func range compile int list permutation mycosine reshape isnan func range compile int list permutation isnan func mycorrelation range compile neg mul ndarray add repeat sub addPrimitive PrimitiveSetTyped individual selNSGA2 genHalfAndHalf selTournament register mutNodeReplacement genFull create Toolbox expr Fitness staticLimit decorate Individual selBest compile mutUniform GP_Definitions PrimitiveTree cxOnePoint mutShrink initIterate initRepeat HallOfFame max eaMuPlusLambda Statistics min mean register std population similar_by_vector range func compile | rsantana-isg/GP_word2vec | 3,469 |
rszeto/moving-symbols | ['video prediction'] | ['A Dataset To Evaluate The Representations Learned By Video Prediction Models'] | moving_symbols/__init__.py iclr2018_workshop/generate_moving_symbols.py data/icons8_raw_to_images.py data/mnist_raw_to_images.py moving_symbols/moving_symbols_utils.py iclr2018_workshop/view_moving_symbols.py moving_symbols/moving_symbols.py data/omniglot_raw_to_images.py data/download_sun_bg.py _todict _check_keys main loadmat download_numbered_file main main mnist_read main _check_keys _todict loadmat generate_all_moving_symbol_videos get_param_dicts MovingSymbolsClassTrajectoryTracker generate_moving_symbols_video main main view_video_tensor ImageLoader Symbol MovingSymbolsEnvironment merge_dicts compute_pm_hull_vertices tight_crop create_triangle_fn pil_grid create_sine_fn get_closest_axis_vector _todict mat_struct isinstance isinstance mat_struct _fieldnames array read seek convert write urlopen BICUBIC resize StringIO open join read remove partial replace chdir print makedirs shuffle images urlopen imap abspath zeros Pool enumerate len NEAREST dirname resize open save listdir join range len mnist_read str threshold THRESH_BINARY stack fromarray isdir concatenate rmtree append loadmat array get_info MovingSymbolsEnvironment MovingSymbolsClassTrajectoryTracker add_subscriber append next array range join list print map stack swapaxes zip save items generate_all_moving_symbol_videos get_param_dicts print waitKey imshow resize range load withdraw search exit shape askopenfilename view_video_tensor dict items new max enumerate paste findNonZero convert boundingRect crop squeeze findNonZero float float degrees arctan2 | rszeto/moving-symbols | 3,470 |
rubenkruiper/FOBIE | ['relation extraction'] | ["In Layman's Terms: Semi-Open Relation Extraction from Scientific Texts", 'A Scientific Information Extraction Dataset for Nature Inspired Engineering'] | SORE/__init__.py SORE/my_utils/convert_json_article_to_OIE5.py SORE/my_utils/clean_raw_input.py scripts/convert_to_SciIE_format.py SORE/my_utils/IDF_weight_utils.py docs/conf.py scripts/check_SciIE_metrics.py SORE/my_utils/filter_utils.py SORE/prepare_data.py SORE/my_utils/spacyNLP.py scripts/brat_to_json.py SORE/my_utils/__init__.py scripts/dataset_statistics.py run_SORE.py SORE/my_utils/convert_json_article_to_SciIE.py SORE/filterOIE_with_narrowIE.py SORE/parse_narrowIE_output.py SORE/scierc_scripts/generate_FOBIE_embeddings.py SORE/SORE_to_BRAT.py SORE/run_OIE5.py SORE/scierc_scripts/embed_and_predict.py NarrowIEParser SORE_filter DataPreparation main FilterPrep setup GithubURLDomain main get_annotations_from_ann_file standalone_TradeoffWordSplitter compare_against_gold Scorer convert_dataset_to_SCIIE main standalone_TradeoffWordSplitter main standalone_TradeoffWordSplitter statistics_per_split NarrowIEOpenIECombiner simple_tokens_to_string read_sciie_output_format convert_spans_to_tokenlist start_parsing write_dicts_to_files convert_documents OpenIE5_client run_OpenIE_5 BratConverter clean_dict write_sentences_to_txt_file convert_doc_to_sciie_format get_stats_filtered ClusterTradeOffs get_stats_unfiltered PrepareEmbeddings SoreFilter PrepIDFWeights spacy_nlp quote_merger Predictor Embedder EmbedAndPredict remove format exists print concat convert_to_BRAT to_csv start NarrowIEParser BratConverter SORE_filter determine_output_name DataPreparation append FilterPrep run_OpenIE_5 output_csv_path add_transform add_config_value add_domain load vocab add Matcher add_pipe int list str items print i nlp rsplit dump standalone_TradeoffWordSplitter endswith get_annotations_from_ann_file open update format Scorer print get_prf zip f1_score int list items format print tqdm nlp append keys len write convert_dataset_to_SCIIE str list items format max print Counter tqdm nlp append sum keys values len statistics_per_split Counter sum values append Counter simple_tokens_to_string rsplit replace print Counter convert_spans_to_tokenlist zip append print read_sciie_output_format close dump format replace print convert_doc_to_sciie_format write write_sentences_to_txt_file exists open write_dicts_to_files list format move print tqdm append sents spacy_nlp keys enumerate get_extractions OpenIE5_client stop_server print getcwd chdir lower start_server update items list rstrip replace sub format replace print clean_dict append exists items list clean_dict append spacy_nlp pop items list format insert tuple print Counter append keys len pop items list format insert tuple print Counter append keys len matcher append merge | Semi-Open Relation Extraction -- The Focused Open Biology Information Extraction (FOBIE) dataset aims to support IE from Computer-Aided Biomimetics. The dataset contains ~1,500 sentences from scientific biological texts. These sentences are annotated with TRADE-OFFS and syntactically similar relations between unbounded arguments, as well as argument-modifiers. The FOBIE dataset has been used to explore Semi-Open Relation Extraction (SORE). The code for this and instructions can be found inside the SORE folder Readme.md, or in [the ReadTheDocs documentations](https://sore-documentation.readthedocs.io/en/latest/). ### Format The train/test/dev data files are provided in two formats. A verbose json format inspired on the Semeval2018 task 7 dataset: ```json | 3,471 |
ruer98/headshot-style-transfer | ['style transfer'] | ['A Neural Algorithm of Artistic Style'] | nst_utils.py generate_noise_image reshape_and_normalize_image save_image CONFIG load_vgg_model reshape _conv2d_relu Variable zeros _avgpool loadmat astype reshape MEANS shape MEANS imsave astype | ruer98/headshot-style-transfer | 3,472 |
rug-compling/bimu | ['word embeddings'] | ['Bilingual Learning of Multi-sense Embeddings with Discrete Autoencoders'] | bimu/optimizers.py bimu/losses.py examples/run_bimu.py bimu/utils/conll_utils.py examples/run_senseinfer.py bimu/utils/logger.py bimu/preprocessing/multiling_sequence.py bimu/utils/test_utils.py tests/cosines_senses.py eval/nn/score.py bimu/utils/generic_utils.py bimu/utils/tokens.py tests/run_senseinfer_check.py bimu/models/skipgram.py bimu/models/senses_expectation.py examples/run_mono.py tests/test_blas.py tests/masking.py bimu/models/bimu_expectation.py bimu/activations.py bimu/utils/bible.py tests/batchdots.py bimu/preprocessing/text.py bimu/preprocessing/sequence.py eval/scws/corrstats.py bimu/preprocessing/io.py eval/nn/conll_to_bar.py tests/gpu.py bimu/models/senses.py tests/hello.py eval/neighbors.py bimu/models/bimu.py examples/ex1.py eval/entropy/entropy.py eval/nn/create_tag_vocab.py bimu/initializations.py eval/scws/embed.py eval/scws/scws.py setup.py tests/expectations.py eval/scws/correlation.py tests/dots.py sigmoid hard_sigmoid zeros uniform w2v get crossentropy_masked mse mse_masked crossentropy get Adagrad get_gradients SGDDynamic RMSprop SGD Bimu BimuExpectation Senses SensesExpectationInference SensesInference SensesExpectation Skipgram FastSkipgram line_reader get_file_list mbatch_skipgrams_affil eff_window affiliate extract_alignment build_subsampling_tab mbatch_skipgrams_inference get_random_w build_sampling_tab skipgrams mbatch_skipgrams VocabBuild update_counts prune_freq n_toks sort_vocab down get_text Conll07Reader filter_len filter_freq DependencyInstance writeCorpusTriples save_model save_npy load_w2v opt_to_mean load_json _save_w2v save_w2v load_model v_to_json save_json permute _save_w2v_sep save_w2v_to_sep save_txtw2v_to_sep get_from_module load_npy detect_nan str_to_nparr dyn_print nparr_to_str setup_logging avg_sim closest_to_word closest_to_w_distinct_weights closest_to_w embed_w cosine softmax cosines max_sim normalize closest_idxs closest_to_point pretty_print plot_probs get_entropy get_probs get_entropy_per_type read_vocab process ConllToBar TagVocab ScoreExpEmbedding ScoreEmbedding softmax spearman independent_corr dependent_corr rz_ci rho_rxy_rxz avg_emb local_emb loc_predict avg_exp Instance Dataset save_weights save_run_details run save_weights run_fastskipgram save_run_details run save_weights save_run_details run run_senseinfer write_senses test_numpy_3 test_numpy_2 test_numpy test_means_numpy test_means_theano test_means_numpy_noflatten seed seed empty rand range clip clip grad append join walk randint min max len list defaultdict map append split items list get line_to_seq line_to_seq_pairs extract_alignment eff_window affiliate zip append range enumerate len n_toks min sqrt append range len int n_toks append range len line_to_seq min append randint max range enumerate len line_to_seq min append max range enumerate len min permute append randint max range enumerate len down split iterparse range len get save line_reader save_json enumerate format write flush _save_w2v_sep format _save_w2v load_npy save_npy load_w2v line_reader print split append zeros enumerate seed shuffle print outputs debugprint basicConfig append norm reshape shape cosines empty max range get list embed_w zip append closest_idxs embed_w list sort dot zip range len get atleast_1d norm print join pretty_tup len loc_predict format plot sort flatten savefig input_dir items list endswith load_json ConllToBar pow ppf atanh float pow pow sqrt rho_rxy_rxz cdf abs pow sqrt cdf abs log mean contexts dot exp argmax loc_predict mean average loc_predict update settings_save_fname format save_json save_npy format hasattr get_value save_weights corpus_path_f corpus_path_a all mbatch_skipgrams_affil append range line_reader format mean info enumerate time corpus_path_e print sim dyn_print train array corpus_path mbatch_skipgrams append range line_reader format line_to_seq mean lr info train enumerate time print reshape extend sim dyn_print corpus_path array skipgrams len model_load_dir basename model_load_dir corpus_path update mbatch_skipgrams_inference time format line_reader corpus_path print extend dyn_print mbatch_skipgrams_inference info append train array enumerate corpus_path format info reshape dot empty sum range transpose dot empty sum range reshape build emb_dim Senses array array Senses build vector function reshape imatrix uniform shared matrix sum array | rug-compling/bimu | 3,473 |
rui1996/DeRaindrop | ['rain removal'] | ['Attentive Generative Adversarial Network for Raindrop Removal from a Single Image'] | metrics.py models/__init__.py predict.py models/discriminator.py models/vgg_init.py models/generator.py calc_psnr calc_ssim get_args predict align_to_four Discriminator Generator vgg vgg_init trainable parse_args add_argument ArgumentParser int data transpose from_numpy cuda numpy array parameters cuda trainable | ## Attentive Generative Adversarial Network for Raindrop Removal from A Single Image (CVPR'2018) [Rui Qian](https://rui1996.github.io), [Robby T.Tan](https://tanrobby.github.io), [Wenhan Yang](http://www.icst.pku.edu.cn/struct/people/Wenhan_Yang_files/WenhanYang.html), Jiajun Su and [Jiaying Liu](http://www.icst.pku.edu.cn/struct/people/liujiaying.html) [[Paper Link]](https://arxiv.org/abs/1711.10098) [[Project Page]](https://rui1996.github.io/raindrop/raindrop_removal.html) [[Slides]]()(TBA)[[Video]]()(TBA) (CVPR'18 Spotlight) ### Abstract Raindrops adhered to a glass window or camera lens can severely hamper the visibility of a background scene and degrade an image considerably. In this paper, we address the problem by visually removing raindrops, and thus transforming a raindrop degraded image into a clean one. The problem is intractable, since first the regions occluded by raindrops are not given. Second, the information about the background scene of the occluded regions is completely lost for most part. To resolve the problem, we apply an attentive generative network using adversarial training. Our main idea is to inject visual attention into both the generative and discriminative networks. During the training, our visual attention learns about raindrop regions and their surroundings. Hence, by injecting this information, the generative network will pay more attention to the raindrop regions and the surrounding structures, and the discriminative network will be able to assess the local consistency of the restored regions. Apart from raindrop removal, this injection of visual attention to both generative and discriminative networks is another contribution of this paper. Our experiments show the effectiveness of our approach, which outperforms the state of the art methods quantitatively and qualitatively. #### If you find the resource useful, please cite the following :- ) ``` @InProceedings{Qian_2018_CVPR, author = {Qian, Rui and Tan, Robby T. and Yang, Wenhan and Su, Jiajun and Liu, Jiaying}, title = {Attentive Generative Adversarial Network for Raindrop Removal From a Single Image}, | 3,474 |
ruishu/bcde | ['density estimation'] | ['Bottleneck Conditional Density Estimation'] | data.py adamax.py extra_layers.py models.py config.py utils.py main.py AdamaxOptimizer Mnist recode bjde_y infer infer_recode bjde_xy per_sample_loss bjde_x bcde main conditional hybrid pretrained make_file_name build_optimizer recode infer pre_loss n_pretrain_epochs n_label conditional pretrained reset_default_graph Session run seed train_step placeholder n_total global_variables_initializer TensorDict Mnist bs pre_train_step n_epochs make_file_name float make_writer train task print dict hybrid bool loss build_optimizer UPDATE_OPS get_collection loss build_optimizer UPDATE_OPS get_collection loss pre_loss build_optimizer get_collection UPDATE_OPS loss format exists | # bcde The Bottleneck Conditional Density Estimator provides a semi-supervised learning framework for high-dimensional conditional density estimation. This repository provides code to run experiments in from the 2017 ICML paper [Bottleneck Conditional Density Estimation](https://arxiv.org/abs/1611.08568). This work was done while interning at Adobe Systems. ## Dependencies Please make sure to pip install the following dependencies ``` tensorflow-gpu==1.1.0 tensorbayes==0.1.1 ``` ## Example | 3,475 |
runzhouge/MAC | ['temporal localization'] | ['TALL: Temporal Activity Localization via Language Query', 'MAC: Mining Activity Concepts for Language-based Temporal Localization'] | cnn.py dataset.py acl_model.py main.py mpu.py acl_model fc_layer softmax_loss_layer pooling_layer deconv_layer deconv_relu_layer conv_relu_layer conv_layer fc_relu_layer TrainingDataSet TestingDataSet calculate_nIoL calculate_IoU do_eval_slidingclips run_training nms_temporal compute_precision_top_n calculate_IoU main parse_args compute_IoU_recall_top_n_forreg compute_IoU_recall_top_n compute_recall_top_n vs_multilayer conv2d bias_add conv_layer relu as_list conv2d_transpose bias_add deconv_layer relu max_pool as_list reshape xw_plus_b matmul fc_layer relu as_list batch_size reshape concat sparse_to_dense range add_argument ArgumentParser range range list map sub append range len float nms_temporal range calculate_IoU float nms_temporal range calculate_IoU str expit print reshape len write load_movie_slidingclip zeros float compute_IoU_recall_top_n_forreg movie_names range run int time checkpoint_path test_name replace is_continue_training makedirs checkpoint_path_continue_training localtime asctime save_checkpoint_parent_dir is_only_test parse_args acl_model open run_training | runzhouge/MAC | 3,476 |
ruoqi-liu/DeepIPW | ['causal inference'] | ['When deep learning meets causal inference: a computational framework for drug repurposing from real-world data'] | preprocess/run_preprocess.py deep-ipw/baselines.py preprocess/pre_outcome.py preprocess/pre_cohort.py deep-ipw/dataset.py preprocess/user_cohort.py preprocess/pre_drug.py preprocess/utils.py deep-ipw/main.py deep-ipw/utils.py deep-ipw/vocab.py preprocess/pre_demo.py deep-ipw/model.py preprocess/pre_cohort_dx.py deep-ipw/evaluation.py preprocess/pre_cohort_rx.py PropensityEstimator OutcomeEstimator Dataset plot model_eval cal_weights transfer_data cal_deviation cal_ATE _model_eval cal_AUC main parse_args LSTMModel save_model load_model plot get_cohort_size plot_deviation maybe_download_and_unzip_file cal_deviation cal_ATE load_cohort_size get_medi_CAD_indication CodeVocab exclude my_load drug_time_interval_is_valid criteria_1_is_valid minimal_criteria_is_valid criteria_3_is_valid get_patient_cohort my_dump criteria_2_is_valid user_cohort_extractor get_css_code_for_icd get_user_cohort_dx pre_user_cohort_dx get_user_dx AutoVivification drug_is_taken_in_baseline_v2 pre_user_cohort_rx_v2 pre_user_cohort_rx get_prescription_taken_times AutoVivification drug_is_taken_in_baseline pre_user_cohort_demo get_user_cohort_demo parse_args drug_time_interval_is_valid pre_drug_table ndc2rxing pre_user_cohort_outcome is_valid_outcome_range main parse_args get_patient_list pre_user_cohort_triplet get_demo_feature_vector get_dx_feature_vector get_rx_feature_vector get_outcome_feature_vector get_patient_init_date cal_ATE cal_AUC transfer_data cal_deviation transfer_data cal_deviation roc_auc_score exp clip len asarray cal_weights mean sqrt abs max TSNE scatter savefig figure legend fit_transform cal_weights add_argument ArgumentParser outputs_lstm save_model save_model_filename model zero_grad diag_vocab_length where DataLoader floor device cuda roc_auc_score open seed compute_weights list load_model data_dir LSTMModel SubsetRandomSampler Adam add epochs binary_cross_entropy_with_logits intersection append to range get asarray format outputs_lr concatenate shuffle med_vocab_length set mean cal_ATE item is_available random_seed float listdir keys PropensityEstimator load join int controlled_drug_ratio backward print model_eval write extend cal_deviation tqdm dict parameters treated_drug_file pickles_dir train step Dataset len print basename load str model_class load_state_dict str isinstance DataParallel save module exp plot clip len exp clip len load dump dict open listdir len set close open list plot yticks xlabel ylabel tight_layout scatter savefig figure legend range len my_dump get items sorted defaultdict max get range len get items defaultdict format print minimal_criteria_is_valid len drug_time_interval_is_valid items sorted range len print dump open print join list defaultdict iterrows get_css_code_for_icd extend tqdm listdir read_csv append get range len get items list strptime set tqdm union AutoVivification get_user_dx get items sorted defaultdict list tqdm append drug_is_taken_in_baseline get items sorted list drug_is_taken_in_baseline_v2 tqdm append AutoVivification append format loadtxt join dump defaultdict format output_data_dir print input_data_dir len ndc2rxing listdir open startswith join list defaultdict is_valid_outcome_range iterrows tqdm append listdir read_csv add list items set get_patient_list pre_user_cohort_triplet input_data time_interval followup get_patient_init_date pre_user_cohort_rx_v2 get_user_cohort_dx exclude pickles save_cohort_all baseline get_user_cohort_demo min_patients pre_user_cohort_outcome get items sorted format list dump len tqdm dict open get_demo_feature_vector append max get_outcome_feature_vector get get set int year dump format open | # DeepIPW ## 1. Introduction This repository contains source code and data description for paper "[A deep learning framework for drug repurposing via emulating clinical trials on real world patient data](https://rdcu.be/cc2CP)". (accepted by **_Nature Machine Intelligence_**). In this paper, we present an efficient and easily-customized framework for generating and testing multiple candidates for drug repurposing using a retrospective analysis of real world data (RWD). <img src="img/flowchart.png" width="60%"/> Building upon well-established causal inference and deep learning methods, our framework emulates randomized clinical trials for drugs present in a large-scale medical claims database. <img src="img/LSTM.png" width="60%"/> We demonstrate our framework on a coronary artery disease (CAD) cohort of millions of patients. We successfully identify drugs and drug combinations that significantly improve the CAD outcomes but not have been indicated for treating CAD, paving the way for drug repurposing. ## 2. System requirement | 3,477 |
ruosongwang/CNTK | ['gaussian processes'] | ['On Exact Computation with an Infinitely Wide Neural Net'] | utils.py CNTK.py xx xz load_cifar conv3 reshape sqrt append zeros range trans conv3 reshape zeros range trans load join format std reshape astype extend float32 mean append array range open | # Convolutional Neural Tangent Kernel (CNTK) This repository contains the code for Convolutional Neural Tangent Kernel (CNTK) in the following paper [On Exact Computation with an Infinitely Wide Neural Net](https://arxiv.org/abs/1904.11955) (NeurIPS 2019) ### Citation @inproceedings{arora2019exact, title={On exact computation with an infinitely wide neural net}, author={Arora, Sanjeev and Du, Simon S. and Hu, Wei and Li, Zhiyuan and Salakhutdinov, Ruslan and Wang, Ruosong}, booktitle={Thirty-third Conference on Neural Information Processing Systems}, year={2019} } | 3,478 |
rupes438/CodeGen | ['text generation'] | ['SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient', 'Long Text Generation via Adversarial Training with Leaked Information'] | SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/html5lib/_trie/datrie.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/html5lib/_trie/py.py SeqGAN_3/venv/lib/python2.7/site-packages/setuptools/package_index.py SeqGAN_3/venv/lib/python2.7/site-packages/pkg_resources/_vendor/packaging/markers.py SeqGAN_3/venv/lib/python2.7/site-packages/setuptools/command/alias.py SeqGAN_3/venv/lib/python2.7/site-packages/pkg_resources/_vendor/packaging/__about__.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/webencodings/__init__.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/distlib/compat.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_internal/commands/wheel.py SeqGAN_3/venv/lib/python2.7/site-packages/setuptools/wheel.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_internal/utils/logging.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/progress/counter.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/chardet/eucjpprober.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/html5lib/html5parser.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/html5lib/_trie/__init__.py SeqGAN_3/venv/lib/python2.7/site-packages/setuptools/pep425tags.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_internal/commands/configuration.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_internal/pyproject.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/chardet/sbcsgroupprober.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/urllib3/_collections.py SeqGAN_3/discriminator.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/html5lib/treebuilders/__init__.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_internal/utils/encoding.py SeqGAN_3/venv/lib/python2.7/site-packages/setuptools/_vendor/packaging/version.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/cachecontrol/__init__.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/certifi/__init__.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/webencodings/labels.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/packaging/__about__.py SeqGAN_3/venv/lib/python2.7/site-packages/wheel/wheelfile.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/chardet/cli/chardetect.py SeqGAN_3/rollout.py SeqGAN_3/venv/lib/python2.7/site-packages/setuptools/command/register.py SeqGAN_3/venv/lib/python2.7/site-packages/wheel/cli/pack.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/requests/api.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/pytoml/core.py SeqGAN_3/venv/lib/python2.7/site-packages/setuptools/unicode_utils.py SeqGAN_3/sequence_gan_main.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/html5lib/treewalkers/__init__.py SeqGAN_3/venv/lib/python2.7/site-packages/pkg_resources/_vendor/packaging/utils.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/colorama/ansi.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_internal/cache.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/html5lib/treewalkers/dom.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/distlib/scripts.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_internal/req/constructors.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/html5lib/filters/base.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/cachecontrol/wrapper.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/webencodings/tests.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/chardet/jisfreq.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/distlib/version.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_internal/wheel.py SeqGAN_3/venv/lib/python2.7/site-packages/setuptools/monkey.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/chardet/langgreekmodel.py SeqGAN_3/venv/lib/python2.7/site-packages/pkg_resources/extern/__init__.py SeqGAN_3/venv/lib/python2.7/site-packages/setuptools/command/develop.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/pytoml/test.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_internal/models/index.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_internal/req/__init__.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/idna/package_data.py SeqGAN_3/venv/lib/python2.7/site-packages/setuptools/dep_util.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/distlib/markers.py SeqGAN_3/venv/lib/python2.7/site-packages/setuptools/command/egg_info.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/pytoml/parser.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/html5lib/_trie/_base.py SeqGAN_3/venv/lib/python2.7/site-packages/setuptools/_vendor/six.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_internal/models/format_control.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/progress/__init__.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/msgpack/__init__.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/requests/utils.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/chardet/codingstatemachine.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/html5lib/filters/lint.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/chardet/big5prober.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/colorama/__init__.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/msgpack/fallback.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/html5lib/treeadapters/genshi.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_internal/vcs/mercurial.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_internal/utils/appdirs.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/pep517/__init__.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_internal/vcs/git.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/__init__.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/chardet/utf8prober.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/requests/compat.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/requests/status_codes.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/chardet/euctwprober.py SeqGAN_3/venv/lib/python2.7/site-packages/setuptools/launch.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_internal/utils/misc.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/chardet/version.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/appdirs.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_internal/cli/base_command.py SeqGAN_3/venv/lib/python2.7/site-packages/pkg_resources/_vendor/pyparsing.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/chardet/euctwfreq.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/pkg_resources/__init__.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_internal/index.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/pep517/_in_process.py SeqGAN_3/venv/lib/python2.7/site-packages/pkg_resources/_vendor/packaging/requirements.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/lockfile/symlinklockfile.py SeqGAN_3/venv/lib/python2.7/site-packages/pkg_resources/_vendor/packaging/_structures.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/webencodings/x_user_defined.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_internal/utils/hashes.py SeqGAN_3/venv/lib/python2.7/site-packages/setuptools/command/py36compat.py SeqGAN_3/venv/lib/python2.7/site-packages/wheel/cli/unpack.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/packaging/version.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/requests/sessions.py SeqGAN_3/venv/lib/python2.7/site-packages/pkg_resources/_vendor/packaging/version.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_internal/utils/temp_dir.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/chardet/charsetgroupprober.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/requests/structures.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/html5lib/treewalkers/etree.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_internal/cli/parser.py SeqGAN_3/venv/lib/python2.7/site-packages/wheel/__init__.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_internal/models/candidate.py SeqGAN_3/venv/lib/python2.7/site-packages/setuptools/extern/__init__.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/urllib3/__init__.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/pep517/compat.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/html5lib/_tokenizer.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/urllib3/util/timeout.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_internal/pep425tags.py SeqGAN_3/venv/lib/python2.7/site-packages/setuptools/py33compat.py SeqGAN_3/venv/lib/python2.7/site-packages/wheel/pep425tags.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/urllib3/packages/backports/makefile.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/requests/help.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/requests/_internal_utils.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/ipaddress.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/pep517/build.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/html5lib/serializer.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/chardet/latin1prober.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/certifi/core.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/colorama/ansitowin32.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/cachecontrol/compat.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/urllib3/contrib/_securetransport/low_level.py SeqGAN_3/venv/lib/python2.7/site-packages/setuptools/command/upload_docs.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_internal/locations.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_internal/commands/download.py SeqGAN_3/venv/lib/python2.7/site-packages/setuptools/command/bdist_egg.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/distlib/__init__.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_internal/exceptions.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/distlib/wheel.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/chardet/escsm.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_internal/models/link.py SeqGAN_3/venv/lib/python2.7/site-packages/setuptools/command/upload.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/idna/__init__.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/requests/adapters.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/html5lib/_ihatexml.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/pkg_resources/py31compat.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_internal/utils/typing.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_internal/req/req_tracker.py SeqGAN_3/venv/lib/python2.7/site-packages/easy_install.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/urllib3/packages/ssl_match_hostname/__init__.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/chardet/euckrprober.py SeqGAN_3/venv/lib/python2.7/site-packages/wheel/cli/__init__.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/pep517/colorlog.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/pep517/check.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/chardet/sjisprober.py SeqGAN_3/venv/lib/python2.7/site-packages/setuptools/_vendor/packaging/utils.py SeqGAN_3/venv/lib/python2.7/site-packages/setuptools/extension.py SeqGAN_3/venv/lib/python2.7/site-packages/setuptools/py31compat.py SeqGAN_3/venv/lib/python2.7/site-packages/pkg_resources/py31compat.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/pytoml/writer.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/urllib3/contrib/_securetransport/bindings.py SeqGAN_3/venv/lib/python2.7/site-packages/setuptools/command/install.py SeqGAN_3/venv/lib/python2.7/site-packages/setuptools/command/sdist.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_internal/cli/status_codes.py SeqGAN_3/venv/lib/python2.7/site-packages/setuptools/sandbox.py SeqGAN_3/venv/bin/activate_this.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/packaging/specifiers.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/urllib3/packages/__init__.py SeqGAN_3/venv/lib/python2.7/site-packages/setuptools/command/build_clib.py SeqGAN_3/venv/lib/python2.7/site-packages/setuptools/__init__.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/chardet/chardistribution.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/urllib3/util/url.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_internal/cli/main_parser.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/urllib3/packages/ordered_dict.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/html5lib/filters/optionaltags.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/urllib3/contrib/ntlmpool.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_internal/req/req_uninstall.py SeqGAN_3/venv/lib/python2.7/site-packages/setuptools/command/install_egg_info.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/lockfile/sqlitelockfile.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/chardet/sbcharsetprober.py SeqGAN_3/venv/lib/python2.7/site-packages/setuptools/lib2to3_ex.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/chardet/compat.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/urllib3/contrib/appengine.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_internal/commands/completion.py SeqGAN_3/venv/lib/python2.7/site-packages/pkg_resources/_vendor/packaging/specifiers.py SeqGAN_3/venv/lib/python2.7/site-packages/setuptools/command/build_ext.py SeqGAN_3/venv/lib/python2.7/site-packages/setuptools/command/easy_install.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/urllib3/contrib/pyopenssl.py SeqGAN_3/venv/lib/python2.7/site-packages/wheel/__main__.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/chardet/cp949prober.py SeqGAN_3/venv/lib/python2.7/site-packages/setuptools/_vendor/packaging/__init__.py SeqGAN_3/generator.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_internal/commands/install.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/retrying.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_internal/commands/help.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_internal/utils/ui.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_internal/vcs/__init__.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/__init__.py SeqGAN_3/venv/lib/python2.7/site-packages/setuptools/depends.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/cachecontrol/adapter.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/idna/compat.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/urllib3/fields.py SeqGAN_3/venv/lib/python2.7/site-packages/setuptools/site-patch.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/cachecontrol/caches/__init__.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/urllib3/packages/six.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_internal/commands/list.py SeqGAN_3/venv/lib/python2.7/site-packages/setuptools/command/__init__.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/distlib/_backport/sysconfig.py SeqGAN_3/venv/lib/python2.7/distutils/__init__.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/chardet/langturkishmodel.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/distlib/index.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/cachecontrol/controller.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/__main__.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/requests/hooks.py SeqGAN_3/venv/lib/python2.7/site-packages/setuptools/command/saveopts.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/requests/exceptions.py SeqGAN_3/venv/lib/python2.7/site-packages/setuptools/command/install_lib.py SeqGAN_3/venv/lib/python2.7/site-packages/wheel/util.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/urllib3/packages/ssl_match_hostname/_implementation.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/packaging/markers.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_internal/download.py SeqGAN_3/venv/lib/python2.7/site-packages/wheel/metadata.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_internal/utils/compat.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/urllib3/util/queue.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/lockfile/__init__.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/html5lib/filters/alphabeticalattributes.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/distlib/database.py SeqGAN_3/venv/lib/python2.7/site-packages/setuptools/ssl_support.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/chardet/escprober.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/urllib3/util/connection.py SeqGAN_3/venv/lib/python2.7/site-packages/setuptools/glibc.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/cachecontrol/heuristics.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/chardet/langhungarianmodel.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/distlib/metadata.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_internal/operations/check.py SeqGAN_3/venv/lib/python2.7/site-packages/setuptools/command/build_py.py SeqGAN_3/venv/lib/python2.7/site-packages/setuptools/_deprecation_warning.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_internal/commands/__init__.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/idna/core.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/pep517/wrappers.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_internal/utils/deprecation.py SeqGAN_3/venv/lib/python2.7/site-packages/setuptools/_vendor/packaging/requirements.py SeqGAN_3/venv/lib/python2.7/site-packages/pkg_resources/_vendor/appdirs.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_internal/commands/check.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/urllib3/util/__init__.py SeqGAN_3/venv/lib/python2.7/site-packages/pkg_resources/_vendor/packaging/__init__.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_internal/utils/filesystem.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/html5lib/__init__.py SeqGAN_3/venv/lib/python2.7/site-packages/pkg_resources/__init__.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/colorama/win32.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_internal/cli/autocompletion.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/requests/cookies.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/chardet/langthaimodel.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/chardet/universaldetector.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_internal/build_env.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/html5lib/treewalkers/genshi.py SeqGAN_3/venv/lib/python2.7/site-packages/pkg_resources/_vendor/six.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/html5lib/_inputstream.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/urllib3/util/request.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/cachecontrol/serialize.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/distlib/_backport/__init__.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/distlib/_backport/tarfile.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/urllib3/connection.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/idna/codec.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/urllib3/util/ssl_.py SeqGAN_3/venv/lib/python2.7/site-packages/setuptools/build_meta.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/chardet/langcyrillicmodel.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/packaging/_compat.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/chardet/gb2312prober.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/lockfile/pidlockfile.py SeqGAN_3/venv/lib/python2.7/site-packages/setuptools/command/bdist_wininst.py SeqGAN_3/venv/lib/python2.7/site-packages/setuptools/_vendor/pyparsing.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_internal/req/req_set.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/chardet/__init__.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/idna/idnadata.py SeqGAN_3/venv/lib/python2.7/site-packages/setuptools/msvc.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/cachecontrol/caches/file_cache.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/progress/spinner.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/distlib/_backport/shutil.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_internal/vcs/subversion.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/html5lib/treewalkers/etree_lxml.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_internal/utils/packaging.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/html5lib/treeadapters/sax.py SeqGAN_3/venv/lib/python2.7/site.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/cachecontrol/cache.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/chardet/mbcsgroupprober.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/msgpack/_version.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_internal/commands/show.py SeqGAN_3/venv/lib/python2.7/site-packages/setuptools/_vendor/packaging/specifiers.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/msgpack/exceptions.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/requests/certs.py SeqGAN_3/venv/lib/python2.7/site-packages/setuptools/command/install_scripts.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/html5lib/treeadapters/__init__.py SeqGAN_3/venv/lib/python2.7/site-packages/wheel/cli/convert.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/packaging/_structures.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/urllib3/util/wait.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_internal/commands/uninstall.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/html5lib/filters/whitespace.py SeqGAN_3/venv/lib/python2.7/site-packages/setuptools/command/bdist_rpm.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_internal/models/__init__.py SeqGAN_3/target_lstm.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_internal/__init__.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/requests/packages.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/idna/uts46data.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/distlib/_backport/misc.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/urllib3/contrib/socks.py SeqGAN_3/venv/lib/python2.7/site-packages/setuptools/dist.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/chardet/langhebrewmodel.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_internal/utils/models.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/cachecontrol/_cmd.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/distlib/manifest.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/distlib/resources.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/urllib3/response.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/chardet/mbcssm.py SeqGAN_3/venv/lib/python2.7/site-packages/setuptools/command/test.py SeqGAN_3/venv/lib/python2.7/site-packages/setuptools/_vendor/packaging/_structures.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/html5lib/treebuilders/etree.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/requests/__version__.py SeqGAN_3/venv/lib/python2.7/site-packages/pkg_resources/_vendor/packaging/_compat.py SeqGAN_3/venv/lib/python2.7/site-packages/setuptools/_vendor/packaging/_compat.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/distlib/util.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/html5lib/treewalkers/base.py SeqGAN_3/venv/lib/python2.7/site-packages/setuptools/config.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_internal/commands/freeze.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/html5lib/filters/inject_meta_charset.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/urllib3/contrib/securetransport.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/requests/auth.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_internal/operations/prepare.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_internal/configuration.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/html5lib/treebuilders/etree_lxml.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/pyparsing.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/chardet/mbcharsetprober.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/pytoml/__init__.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_internal/utils/glibc.py SeqGAN_3/venv/lib/python2.7/site-packages/setuptools/windows_support.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/cachecontrol/caches/redis_cache.py SeqGAN_3/venv/lib/python2.7/site-packages/wheel/pkginfo.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/urllib3/connectionpool.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/chardet/big5freq.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/urllib3/util/response.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/packaging/utils.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/urllib3/util/retry.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_internal/cli/cmdoptions.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/idna/intranges.py SeqGAN_3/venv/lib/python2.7/site-packages/setuptools/version.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_internal/req/req_install.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_internal/vcs/bazaar.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_internal/commands/hash.py SeqGAN_3/venv/lib/python2.7/site-packages/setuptools/glob.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/urllib3/filepost.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/chardet/langbulgarianmodel.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/lockfile/linklockfile.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/requests/models.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_internal/req/req_file.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_internal/operations/freeze.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/urllib3/exceptions.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/distlib/locators.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/requests/__init__.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/html5lib/treebuilders/dom.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/six.py SeqGAN_3/venv/lib/python2.7/site-packages/setuptools/command/setopt.py SeqGAN_3/dataloader.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/chardet/hebrewprober.py SeqGAN_3/venv/lib/python2.7/site-packages/setuptools/py27compat.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/certifi/__main__.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/pep517/envbuild.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/urllib3/contrib/_appengine_environ.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/colorama/initialise.py SeqGAN_3/venv/lib/python2.7/site-packages/setuptools/archive_util.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/cachecontrol/filewrapper.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_internal/utils/outdated.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/urllib3/poolmanager.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/progress/helpers.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/chardet/jpcntx.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_internal/commands/search.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/packaging/__init__.py SeqGAN_3/venv/lib/python2.7/site-packages/wheel/bdist_wheel.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/chardet/euckrfreq.py SeqGAN_3/venv/lib/python2.7/site-packages/setuptools/command/dist_info.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/packaging/requirements.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/webencodings/mklabels.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_internal/cli/__init__.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/chardet/gb2312freq.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_internal/utils/setuptools_build.py SeqGAN_3/venv/lib/python2.7/site-packages/setuptools/_vendor/packaging/__about__.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/pytoml/utils.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/lockfile/mkdirlockfile.py SeqGAN_3/venv/lib/python2.7/site-packages/setuptools/_vendor/packaging/markers.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/html5lib/_utils.py SeqGAN_3/venv/lib/python2.7/site-packages/setuptools/namespaces.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/colorama/winterm.py SeqGAN_3/checksyntax.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_internal/resolve.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/html5lib/constants.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/distro.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/progress/bar.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/chardet/enums.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/urllib3/request.py SeqGAN_3/venv/lib/python2.7/site-packages/setuptools/command/rotate.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/html5lib/filters/sanitizer.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/html5lib/treebuilders/base.py SeqGAN_3/venv/lib/python2.7/site-packages/pip/_vendor/chardet/charsetprober.py check_code check_with_gcc check_with_clang Gen_Data_loader Dis_dataloader linear highway Discriminator Generator ROLLOUT generate_samples load_positive target_loss main pre_train_epoch TARGET_LSTM sethelper _init_pathinfo setencoding aliasmbcs _Printer addsitepackages virtual_addsitepackages setcopyright addusersitepackages check_enableusersite virtual_install_main_packages setBEGINLIBPATH addsitedir setquit _Helper force_global_eggs_after_local_site_packages execsitecustomize main makepath removeduppaths addpackage fixclasspath abs__file__ addbuilddir execusercustomize _script sysconfig_get_python_lib sysconfig_get_python_inc sysconfig_get_config_vars build_ext find_config_files NoOpBuildEnvironment BuildEnvironment _Prefix Cache EphemWheelCache WheelCache SimpleWheelCache _normalize_name _disassemble_key Configuration MultiDomainBasicAuth InsecureHTTPAdapter SafeFileCache _copy_file unpack_http_url unpack_vcs_link is_archive_file unpack_file_url get_file_content unpack_url path_to_url is_vcs_url _progress_indicator _copy_dist_from_dir _download_url _download_http_url is_file_url url_to_path _check_download_dir is_dir_url PipSession LocalFSAdapter PipXmlrpcTransport is_url user_agent _get_used_vcs_backend PreviousBuildDirError PipError HashErrors BadCommand RequirementsFileParseError InvalidWheelFilename UninstallationError BestVersionAlreadyInstalled ConfigurationFileCouldNotBeLoaded InstallationError VcsHashUnsupported CommandError HashMissing ConfigurationError HashUnpinned DirectoryUrlHashUnsupported UnsupportedPythonVersion UnsupportedWheel HashError DistributionNotFound HashMismatch _determine_base_url _ensure_html_header _handle_get_page_fail PackageFinder _get_html_response _clean_link _ensure_html_response _get_encoding_from_headers _is_url_like_archive _find_name_version_sep _match_vcs_scheme _get_html_page _NotHTML _egg_info_matches _NotHTTP HTMLPage distutils_scheme virtualenv_no_global running_under_virtualenv write_delete_marker_file get_supported get_impl_tag get_abbr_impl get_darwin_arches _is_running_32bit is_manylinux1_compatible get_config_var get_flag is_manylinux2010_compatible get_all_minor_versions_as_strings get_abi_tag get_impl_ver get_impl_version_info get_platform load_pyproject_toml make_pyproject_path _is_list_of_str Resolver check_compatibility get_csv_rows_for_installed should_use_ephemeral_cache message_about_scripts_not_on_PATH get_entrypoints replace_python_tag fix_script WheelBuilder rehash Wheel open_for_csv _contains_egg_info move_wheel_files normpath sorted_outrows wheel_version root_is_purelib main get_path_completion_type autocomplete auto_complete_paths RequirementCommand Command make_option_group prefer_binary exists_action find_links trusted_host constraints only_binary _handle_no_binary editable extra_index_url _merge_hash check_install_build_global no_cache_dir_callback _get_format_control no_use_pep517_callback requirements raise_option_error _handle_only_binary no_binary check_dist_restriction create_main_parser parse_command invalid_config_error_message UpdatingDefaultsHelpFormatter ConfigOptionParser PrettyHelpFormatter CustomOptionParser CheckCommand CompletionCommand ConfigurationCommand DownloadCommand FreezeCommand HashCommand _hash_of_file HelpCommand InstallCommand create_env_error_message get_lib_location_guesses tabulate format_for_json ListCommand format_for_columns transform_hits highest_version SearchCommand print_results ShowCommand print_results search_packages_info UninstallCommand WheelCommand _sort_commands get_similar_commands get_summaries InstallationCandidate FormatControl PackageIndex Link _simulate_installation_of create_package_set_from_installed _create_whitelist check_package_set check_install_conflicts get_requirement_info freeze FrozenRequirement RequirementPreparer make_abstract_dist IsWheel Installed IsSDist DistAbstraction deduce_helpful_msg _strip_extras parse_editable install_req_from_req_string install_req_from_editable install_req_from_line ignore_comments join_lines break_args_options preprocess parse_requirements skip_regex expand_env_variables build_parser process_line InstallRequirement RequirementSet RequirementTracker uninstallation_paths compress_for_rename StashedUninstallPathSet compact _unique compress_for_output_listing UninstallPathSet UninstallPthEntries _script_names install_given_reqs user_data_dir _win_path_to_bytes _get_win_folder_from_registry site_config_dirs user_config_dir _get_win_folder_with_ctypes user_cache_dir get_extension_suffixes get_terminal_size samefile console_to_str native_str expanduser get_path_uid _showwarning PipDeprecationWarning install_warning_logger deprecated auto_decode check_path_owner check_glibc_version libc_ver glibc_version_string have_compatible_glibc Hashes MissingHashes split_auth_from_netloc captured_stderr rmtree_errorhandler ask normalize_path get_installed_version _transform_url ask_path_exists captured_stdout get_installed_distributions redact_password_from_url captured_output _make_build_dir dist_is_local is_svn_page split_leading_dir renames unpack_file unzip_file consume current_umask file_contents read_chunks make_vcs_requirement_url redact_netloc format_size read_text_file splitext get_prog ensure_dir FakeFile backup_dir protect_pip_from_modification_on_windows call_subprocess has_leading_dir is_local untar_file dist_in_usersite dist_location remove_auth_from_url dist_is_editable rmtree dist_in_site_packages is_installable_dir egg_link_path _get_netloc StreamWrapper display_path cached_property enum KeyBasedCompareMixin pip_version_check was_installed_by_pip SelfCheckState check_dist_requires_python check_requires_python get_metadata get_installer AdjacentTempDirectory TempDirectory hidden_cursor InteractiveSpinner InterruptibleMixin DownloadShadyBar DownloadProgressSpinner DownloadFillingCirclesBar BlueEmojiBar DownloadProgressMixin BaseDownloadProgressBar DownloadBlueEmojiProgressBar RateLimiter open_spinner DownloadSilentBar SilentBar DefaultDownloadProgressBar DownloadFillingSquaresBar _select_progress_class DownloadProgressProvider NonInteractiveSpinner DownloadChargingBar DownloadIncrementalBar SpinnerInterface WindowsMixin Bazaar looks_like_hash Git Mercurial Subversion RevOptions VersionControl VcsSupport RemoteNotFoundError user_data_dir user_log_dir _get_win_folder_from_registry AppDirs user_config_dir _get_win_folder_with_pywin32 user_state_dir site_config_dir _get_win_folder_with_ctypes site_data_dir user_cache_dir _get_win_folder_with_jna uname_attr uname_info LinuxDistribution lsb_release_attr id codename minor_version major_version name distro_release_attr linux_distribution os_release_info version_parts version build_number info os_release_attr main lsb_release_info like distro_release_info cached_property _BaseAddress summarize_address_range _IPv4Constants _IPAddressBase ip_interface _count_righthand_zero_bits _BaseV6 collapse_addresses AddressValueError IPv6Interface _BaseV4 IPv4Address _compat_to_bytes IPv6Address get_mixed_type_key _compat_bytes_to_byte_vals _split_optional_netmask ip_address ip_network NetmaskValueError v6_int_to_packed _IPv6Constants _find_address_range _compat_bit_length IPv4Network _BaseNetwork v4_int_to_packed _compat_range IPv6Network _collapse_addresses_internal IPv4Interface _TotalOrderingMixin RecursiveGrammarException ParseFatalException _defaultSuccessDebugAction matchPreviousExpr MatchFirst unicode_set oneOf Keyword CloseMatch LineStart _lazyclassproperty withClass ParseSyntaxException locatedExpr srange QuotedString removeQuotes delimitedList countedArray OneOrMore Literal line TokenConverter _makeTags indentedBlock pyparsing_unicode ParseException _escapeRegexRangeChars NotAny CaselessKeyword LineEnd SkipTo _ParseResultsWithOffset _xml_escape StringStart _flatten Suppress makeHTMLTags Word replaceHTMLEntity ParseBaseException White Forward _defaultStartDebugAction originalTextFor infixNotation Token ZeroOrMore Combine OnlyOnce _ForwardNoRecurse replaceWith dictOf lineno pyparsing_common makeXMLTags Regex StringEnd _defaultExceptionDebugAction Empty Dict ParserElement ParseExpression And _trim_arity GoToColumn CharsNotIn Each CaselessLiteral _MultipleMatch ParseResults nestedExpr traceParseAction WordEnd Optional Or withAttribute Char Group WordStart _NullToken tokenMap ParseElementEnhance PrecededBy matchPreviousLiteral _PositionToken matchOnlyAtCol FollowedBy NoMatch col ungroup nullDebugAction Retrying retry RetryError Attempt _SixMetaPathImporter remove_move u Module_six_moves_urllib_parse python_2_unicode_compatible create_unbound_method add_move assertRaisesRegex Module_six_moves_urllib_request print_ iteritems ensure_binary assertCountEqual MovedAttribute assertRegex _LazyDescr _MovedItems get_unbound_function MovedModule ensure_str Module_six_moves_urllib iterlists wraps with_metaclass Module_six_moves_urllib_error itervalues _add_doc b _LazyModule Module_six_moves_urllib_response ensure_text add_metaclass iterkeys Module_six_moves_urllib_robotparser reraise _import_module vendored CacheControlAdapter DictCache BaseCache CacheController parse_uri CallbackFileWrapper OneDayCache BaseHeuristic ExpiresAfter LastModified expire_after datetime_to_header _b64_decode_bytes _b64_decode_str Serializer CacheControl main get_args get_session setup_logging _secure_open_write FileCache url_to_file_path RedisCache where EUCTWProber Big5Prober Big5DistributionAnalysis EUCTWDistributionAnalysis CharDistributionAnalysis SJISDistributionAnalysis EUCJPDistributionAnalysis GB2312DistributionAnalysis EUCKRDistributionAnalysis CharSetGroupProber CharSetProber CodingStateMachine CP949Prober CharacterCategory MachineState ProbingState LanguageFilter InputState SequenceLikelihood EscCharSetProber EUCJPProber EUCKRProber GB2312Prober HebrewProber SJISContextAnalysis EUCJPContextAnalysis JapaneseContextAnalysis Latin1Prober MultiByteCharSetProber MBCSGroupProber SingleByteCharSetProber SBCSGroupProber SJISProber UniversalDetector UTF8Prober detect main description_of AnsiCodes set_title code_to_chars AnsiCursor AnsiBack clear_line AnsiFore AnsiStyle clear_screen AnsiToWin32 StreamWrapper wrap_stream reinit reset_all init deinit colorama_text WinStyle WinColor WinTerm quote splituser InstalledDistribution make_dist DistributionPath DependencyGraph get_dependent_dists get_required_dists Distribution EggInfoDistribution BaseInstalledDistribution _Cache make_graph PackageIndex RedirectHandler get_all_distribution_names JSONLocator PyPIRPCLocator Page DependencyFinder DirectoryLocator PyPIJSONLocator DistPathLocator SimpleScrapingLocator Locator AggregatingLocator Manifest interpret Evaluator _is_literal default_context MetadataConflictError MetadataMissingError LegacyMetadata _best_version _get_name_and_version Metadata _version2fieldlist MetadataInvalidError MetadataUnrecognizedVersionError ZipResourceFinder ResourceFinder ResourceCache ResourceBase Resource register_finder finder ResourceContainer finder_for_path _enquote_executable ScriptMaker split_filename HTTPSConnection get_executable read_exports get_process_umask Transport CSVReader path_to_cache_dir convert_path get_extras _iglob socket_timeout parse_credentials extract_by_key get_resources_dests FileOperator HTTP is_string_sequence HTTPSHandler SafeTransport ExportEntry parse_name_and_version get_project_data zip_dir CSVWriter _csv_open SubprocessMixin iglob chdir parse_marker parse_requirement Sequencer unarchive get_export_entry proceed CSVBase normalize_name resolve Cache Progress ServerProxy write_exports _get_external_data in_venv HTTPSOnlyHandler get_cache_base Configurator HTTPS ensure_slash get_package_data EventMixin cached_property tempdir get_scheme NormalizedVersion UnsupportedVersionError VersionScheme _suggest_normalized_version LegacyVersion NormalizedMatcher _suggest_semantic_version Version is_semver Matcher _legacy_key SemanticVersion LegacyMatcher _match_prefix SemanticMatcher _pep_440_key _semantic_key Mounter is_compatible compatible_tags Wheel DistlibException RegistryError move unpack_archive _ensure_directory register_unpack_format copy2 _basename _check_unpack_options _make_tarball SpecialFileError ReadError _samefile _call_external_zip unregister_unpack_format _find_unpack_format _unpack_zipfile copyfile unregister_archive_format copytree copyfileobj copystat register_archive_format _unpack_tarfile copy _destinsrc make_archive _get_gid get_unpack_formats Error ExecError ignore_patterns _make_zipfile get_archive_formats rmtree _get_uid copymode _subst_vars _extend_dict _getuserbase get_config_var get_path_names get_scheme_names _expand_vars _init_posix _ensure_cfg_read _get_default_scheme format_value get_python_version get_path parse_config_h _init_non_posix get_paths get_config_vars get_config_h_filename _parse_makefile _print_dict _main _safe_realpath is_python_build _expand_globals get_makefile_filename get_platform _LowLevelFile TarError StreamError filemode ReadError TarFile _StreamProxy itn is_tarfile EmptyHeaderError EOFHeaderError SubsequentHeaderError stn calc_chksums copyfileobj nti HeaderError TarIter InvalidHeaderError nts _BZ2Proxy TarInfo _Stream _FileInFile ExtractError CompressionError ExFileObject TruncatedHeaderError _ReparseException DataLossWarning parseFragment adjust_attributes parse impliedTagToken getPhases ParseError method_decorator_metaclass HTMLParser serialize SerializeError htmlentityreplace_errors HTMLSerializer hexToInt normaliseCharList escapeRegexp charStringToList listToRegexpStr missingRanges InfosetFilter BufferedStream HTMLUnicodeInputStream HTMLBinaryInputStream HTMLInputStream EncodingBytes lookupEncoding EncodingParser ContentAttrParser HTMLTokenizer isSurrogatePair MethodDispatcher surrogatePairToCodepoint moduleFactoryFactory memoize _attr_key Filter Filter Filter Filter Filter Filter Filter collapse_spaces to_genshi to_sax TreeBuilder Node ActiveFormattingElements getDomBuilder getETreeBuilder TreeBuilder DocumentType testSerializer Document tostring getTreeBuilder NonRecursiveTreeWalker TreeWalker TreeWalker getETreeBuilder ensure_str FragmentWrapper TreeWalker Root Doctype FragmentRoot TreeWalker concatenateCharacterTokens pprint getTreeWalker Trie Trie Trie StreamWriter Codec getregentry IncrementalEncoder IncrementalDecoder StreamReader ToASCII nameprep ToUnicode decode IDNAError _is_script check_initial_combiner check_hyphen_ok ulabel check_label check_bidi _combining_class encode valid_string_length uts46_remap alabel InvalidCodepoint InvalidCodepointContext valid_contextj valid_contexto valid_label_length check_nfc _unot _punycode IDNABidiError _decode_range intranges_contain _encode_range intranges_from_list _seg_37 _seg_70 _seg_72 _seg_4 _seg_63 _seg_36 _seg_19 _seg_53 _seg_23 _seg_55 _seg_12 _seg_41 _seg_47 _seg_74 _seg_17 _seg_58 _seg_60 _seg_66 _seg_10 _seg_8 _seg_56 _seg_68 _seg_33 _seg_65 _seg_45 _seg_3 _seg_51 _seg_30 _seg_73 _seg_52 _seg_13 _seg_67 _seg_62 _seg_15 _seg_50 _seg_38 _seg_22 _seg_76 _seg_42 _seg_44 _seg_71 _seg_61 _seg_5 _seg_46 _seg_57 _seg_49 _seg_14 _seg_26 _seg_25 _seg_1 _seg_24 _seg_77 _seg_11 _seg_48 _seg_78 _seg_0 _seg_6 _seg_35 _seg_21 _seg_54 _seg_59 _seg_31 _seg_29 _seg_7 _seg_43 _seg_18 _seg_75 _seg_40 _seg_2 _seg_9 _seg_32 _seg_27 _seg_16 _seg_34 _seg_69 _seg_39 _seg_28 _seg_20 _seg_64 LinkLockFile MkdirLockFile read_pid_from_pidfile write_pid_to_pidfile PIDLockFile remove_existing_pidfile SQLiteLockFile SymlinkLockFile Error LockBase NotLocked _SharedBase LockError LockFailed LockTimeout _fl_helper MkdirFileLock LinkFileLock UnlockError SQLiteFileLock NotMyLock AlreadyLocked locked PackOverflowError OutOfData BufferFull PackException PackValueError UnpackValueError ExtraData UnpackException Packer dict_iteritems _get_data_from_buffer unpack _check_type_strict Unpacker StringIO unpackb pack ExtType packb unpack UndefinedEnvironmentName Op Marker _coerce_parse_result _get_env Variable Value UndefinedComparison InvalidMarker default_environment Node _format_marker _eval_op _evaluate_markers format_full_version Requirement InvalidRequirement _version_split BaseSpecifier _IndividualSpecifier Specifier _pad_version _require_version_compare SpecifierSet LegacySpecifier InvalidSpecifier canonicalize_version canonicalize_name parse _BaseVersion InvalidVersion LegacyVersion _parse_local_version Version _legacy_cmpkey _parse_letter_version _cmpkey _parse_version_parts with_metaclass Infinity NegativeInfinity build mkdir_p _do_build main tempdir check_build_wheel check_build_sdist check main ansi _stderr_supports_color enable_colourful_output LogFormatter read_json write_json _load_pyproject build_sdist BuildEnvironment build_wheel BackendUnavailable UnsupportedOperation Pep517HookCaller default_subprocess_runner tempdir build_wheel _find_already_built_wheel BackendUnavailable prepare_metadata_for_build_wheel _DummyException build_sdist _get_wheel_metadata_from_wheel _dist_info_files get_requires_for_build_wheel main get_requires_for_build_sdist GotUnsupportedOperation _build_backend _makedirs_31 _is_egg_path NullProvider _rebuild_mod_path get_build_platform Environment invalid_marker fixup_namespace_packages __getstate__ get_supported_platform _cygwin_patch EggProvider _sset_dict VersionConflict find_eggs_in_zip register_finder ResolutionError _macosx_arch DistributionNotFound register_loader_type safe_listdir load_entry_point dist_factory parse_version WorkingSet ZipManifests UnknownExtra _initialize find_distributions PathMetadata FileMetadata PEP440Warning find_on_path _version_from_file safe_extra file_ns_handler _normalize_cached get_entry_info _bypass_ensure_directory EggInfoDistribution safe_name ExtractionError ResourceManager EggMetadata declare_namespace MemoizedZipManifests DistInfoDistribution get_entry_map _initialize_master_working_set _by_version_descending ContextualVersionConflict normalize_path register_namespace_handler Distribution find_nothing issue_warning parse_requirements IResourceProvider DefaultProvider _always_object resolve_egg_link compatible_platforms evaluate_marker get_provider IMetadataProvider _find_adapter safe_version PkgResourcesDeprecationWarning _sget_dict Requirement RequirementParseError _handle_ns _call_aside _remove_md5_fragment yield_lines ensure_directory null_ns_handler _macosx_vers get_distribution EmptyProvider EntryPoint split_sections get_default_cache ZipProvider _set_parent_ns __setstate__ _ReqExtras _mkstemp distributions_from_metadata run_script _sget_object _is_unpacked_egg NoDists _sset_object non_empty_lines to_filename _declare_state FillingSquaresBar FillingCirclesBar IncrementalBar ChargingBar ShadyBar PixelBar Bar Countdown Stack Counter Pie SigIntMixin WriteMixin WritelnMixin PieSpinner MoonSpinner Spinner PixelSpinner LineSpinner Progress Infinite TomlError load _p_stmt _Source _p_toml _p_value _p_basicstr_content loads _p_ws _p_key _p_ews translate_to_test format_rfc3339 parse_rfc3339_re _TimeZone parse_rfc3339 dump _escape_id _escape_string dumps _format_value HTTPAdapter BaseAdapter get options request patch delete put post head HTTPProxyAuth _basic_auth_str HTTPDigestAuth AuthBase HTTPBasicAuth MockRequest _copy_cookie_jar cookiejar_from_dict extract_cookies_to_jar CookieConflictError merge_cookies morsel_to_cookie create_cookie MockResponse RequestsCookieJar get_cookie_header remove_cookie_by_name HTTPError ChunkedEncodingError ProxyError Timeout StreamConsumedError URLRequired SSLError InvalidURL InvalidHeader RequestException ConnectionError InvalidSchema FileModeWarning RequestsWarning RequestsDependencyWarning InvalidProxyURL RetryError TooManyRedirects MissingSchema ContentDecodingError ConnectTimeout ReadTimeout UnrewindableBodyError main _implementation info dispatch_hook default_hooks Response RequestEncodingMixin PreparedRequest Request RequestHooksMixin session SessionRedirectMixin merge_setting merge_hooks Session _init CaseInsensitiveDict LookupDict guess_filename prepend_scheme_if_needed address_in_network is_valid_cidr _parse_content_type_header to_key_val_list get_auth_from_url parse_list_header select_proxy stream_decode_response_unicode extract_zipped_paths should_bypass_proxies urldefragauth get_encoding_from_headers set_environ default_user_agent unquote_unreserved super_len proxy_bypass_registry dict_to_sequence dotted_netmask get_unicode_from_response default_headers requote_uri is_ipv4_address rewind_body parse_dict_header proxy_bypass dict_from_cookiejar parse_header_links guess_json_utf unquote_header_value get_netrc_auth check_header_validity get_environ_proxies iter_slices get_encodings_from_content from_key_val_list add_dict_to_cookiejar unicode_is_ascii to_native_string check_compatibility _check_cryptography _match_hostname HTTPSConnection DummyConnection VerifiedHTTPSConnection HTTPConnection ConnectionPool connection_from_url _ipv6_host HTTPSConnectionPool HTTPConnectionPool ProtocolError HTTPError ConnectTimeoutError ProxySchemeUnknown DecodeError NewConnectionError HeaderParsingError SSLError InvalidHeader HostChangedError TimeoutError IncompleteRead PoolError InsecureRequestWarning ResponseError ClosedPoolError DependencyWarning MaxRetryError LocationValueError HTTPWarning ResponseNotChunked TimeoutStateError SecurityWarning InsecurePlatformWarning BodyNotHttplibCompatible EmptyPoolError SystemTimeWarning LocationParseError RequestError SubjectAltNameWarning SNIMissingWarning ProxyError ReadTimeoutError UnrewindableBodyError RequestField format_header_param guess_content_type encode_multipart_formdata iter_fields iter_field_objects choose_boundary proxy_from_url _default_key_normalizer ProxyManager PoolManager RequestMethods DeflateDecoder MultiDecoder GzipDecoderState GzipDecoder HTTPResponse _get_decoder HTTPHeaderDict RecentlyUsedContainer add_stderr_logger disable_warnings AppEngineManager AppEnginePlatformWarning AppEnginePlatformError NTLMConnectionPool WrappedSocket _dnsname_to_stdlib inject_into_urllib3 get_subj_alt_name _validate_dependencies_met PyOpenSSLContext _verify_callback extract_from_urllib3 makefile SecureTransportContext WrappedSocket inject_into_urllib3 extract_from_urllib3 _read_callback _write_callback makefile SOCKSHTTPSConnection SOCKSHTTPSConnectionPool SOCKSHTTPConnectionPool SOCKSProxyManager SOCKSConnection is_appengine is_prod_appengine_mvms is_appengine_sandbox is_local_appengine is_prod_appengine SecurityConst CFConst _assert_no_error _load_client_cert_chain _is_cert _cf_data_from_bytes _cf_string_to_unicode _temporary_keychain _is_identity _load_items_from_file _cf_dictionary_from_tuples _cert_array_from_pem OrderedDict _SixMetaPathImporter remove_move u Module_six_moves_urllib_parse python_2_unicode_compatible create_unbound_method add_move assertRaisesRegex Module_six_moves_urllib_request print_ iteritems assertCountEqual MovedAttribute assertRegex _LazyDescr _MovedItems get_unbound_function MovedModule Module_six_moves_urllib iterlists wraps with_metaclass Module_six_moves_urllib_error itervalues _add_doc b _LazyModule Module_six_moves_urllib_response add_metaclass iterkeys Module_six_moves_urllib_robotparser reraise _import_module backport_makefile match_hostname CertificateError _to_unicode _dnsname_match _ipaddress_match _has_ipv6 allowed_gai_family _set_socket_options is_connection_dropped create_connection LifoQueue set_file_position make_headers rewind_body is_response_to_head is_fp_closed assert_header_parsing Retry resolve_ssl_version resolve_cert_reqs ssl_wrap_socket _const_compare_digest_backport is_ipaddress assert_fingerprint create_urllib3_context Timeout Url split_first get_host parse_url _have_working_poll select_wait_for_socket NoWayToWaitForSocketError wait_for_socket poll_wait_for_socket wait_for_read wait_for_write null_wait_for_socket _retry_on_intr assert_lower generate test_invalid_label test_decode test_iter_decode assert_raises test_all_labels test_encode test_x_user_defined test_iter_encode test_labels StreamWriter Codec IncrementalEncoder IncrementalDecoder StreamReader decode encode _iter_decode_generator _get_encoding iter_decode iter_encode lookup Encoding IncrementalEncoder _iter_encode_generator IncrementalDecoder _detect_bom ascii_lower _makedirs_31 _is_egg_path NullProvider _rebuild_mod_path get_build_platform Environment invalid_marker fixup_namespace_packages __getstate__ get_supported_platform _cygwin_patch EggProvider _sset_dict VersionConflict find_eggs_in_zip register_finder ResolutionError _macosx_arch DistributionNotFound register_loader_type safe_listdir load_entry_point dist_factory parse_version WorkingSet ZipManifests UnknownExtra _initialize find_distributions PathMetadata FileMetadata PEP440Warning find_on_path _version_from_file safe_extra file_ns_handler _normalize_cached get_entry_info _bypass_ensure_directory EggInfoDistribution safe_name ExtractionError ResourceManager EggMetadata declare_namespace MemoizedZipManifests DistInfoDistribution get_entry_map _initialize_master_working_set _by_version_descending ContextualVersionConflict normalize_path register_namespace_handler Distribution find_nothing issue_warning parse_requirements IResourceProvider DefaultProvider _always_object resolve_egg_link compatible_platforms evaluate_marker get_provider IMetadataProvider _find_adapter safe_version PkgResourcesDeprecationWarning _sget_dict Requirement RequirementParseError _handle_ns _call_aside _remove_md5_fragment yield_lines ensure_directory null_ns_handler _macosx_vers get_distribution EmptyProvider EntryPoint split_sections get_default_cache ZipProvider _set_parent_ns __setstate__ _ReqExtras _mkstemp distributions_from_metadata run_script _sget_object _is_unpacked_egg NoDists _sset_object non_empty_lines to_filename _declare_state VendorImporter user_data_dir user_log_dir _get_win_folder_from_registry AppDirs user_config_dir _get_win_folder_with_pywin32 user_state_dir site_config_dir _get_win_folder_with_ctypes site_data_dir user_cache_dir _get_win_folder_with_jna _SixMetaPathImporter remove_move u Module_six_moves_urllib_parse python_2_unicode_compatible create_unbound_method add_move assertRaisesRegex Module_six_moves_urllib_request print_ iteritems assertCountEqual MovedAttribute assertRegex _LazyDescr _MovedItems get_unbound_function MovedModule Module_six_moves_urllib iterlists wraps with_metaclass Module_six_moves_urllib_error itervalues _add_doc b _LazyModule Module_six_moves_urllib_response add_metaclass iterkeys Module_six_moves_urllib_robotparser reraise _import_module UndefinedEnvironmentName Op Marker _coerce_parse_result _get_env Variable Value UndefinedComparison InvalidMarker default_environment Node _format_marker _eval_op _evaluate_markers format_full_version Requirement InvalidRequirement _version_split BaseSpecifier _IndividualSpecifier Specifier _pad_version _require_version_compare SpecifierSet LegacySpecifier InvalidSpecifier canonicalize_name parse _BaseVersion InvalidVersion LegacyVersion _parse_local_version Version _legacy_cmpkey _parse_letter_version _cmpkey _parse_version_parts with_metaclass Infinity NegativeInfinity unpack_archive unpack_zipfile unpack_directory unpack_tarfile UnrecognizedFormat default_filter SetupRequirementsError _BuildMetaBackend _get_immediate_subdirectories Distribution _to_str _BuildMetaLegacyBackend _file_with_extension read_configuration ConfigHandler ConfigMetadataHandler ConfigOptionsHandler configuration_to_dict _get_option parse_configuration get_module_constant _update_globals extract_constant find_module Require newer_pairwise_group check_importable _check_extra _get_unpatched Distribution check_nsp check_test_suite check_requirements check_package_data assert_bool check_entry_points read_pkg_file write_pkg_file check_packages get_metadata_version DistDeprecationWarning check_extras Feature check_specifier assert_string_list Library Extension _have_cython check_glibc_version libc_ver glibc_version_string have_compatible_glibc iglob glob _isrecursive glob0 _iglob escape _rlistdir has_magic glob1 glob2 run DistutilsRefactoringTool Mixin2to3 _get_mro patch_func get_unpatched_function patch_all get_unpatched _patch_distribution_metadata patch_for_msvc_specialized_compiler get_unpatched_class _augment_exception RegistryInfo msvc9_find_vcvarsall SystemInfo msvc14_gen_lib_options EnvironmentInfo PlatformInfo msvc9_query_vcvarsall msvc14_get_vc_env Installer DevelopInstaller decode_entity HashChecker parse_bdist_wininst socket_timeout open_with_auth parse_requirement_arg interpret_distro_name find_external_links htmldecode ContentChecker _encode_auth Credential PyPIConfig unique_everseen unique_values egg_info_for_url PackageIndex _splituser fix_sf_url local_open distros_for_location distros_for_filename distros_for_url get_supported get_impl_tag get_abbr_impl get_darwin_arches _is_running_32bit is_manylinux1_compatible get_config_var get_flag get_abi_tag get_impl_ver get_impl_version_info get_platform get_all_headers Bytecode_compat hide_setuptools _clear_modules ExceptionSaver save_path DirectorySandbox save_argv UnpickleableException override_temp _needs_hiding run_setup SandboxViolation _execfile save_modules pushd save_pkg_resources_state setup_context AbstractSandbox __boot opener_for match_hostname _certifi_where CertificateError find_ca_bundle get_win_certfile _dnsname_match VerifyingHTTPSConn once VerifyingHTTPSHandler filesys_decode detect_encoding try_encode decompose unpack Wheel windows_only hide_file SetuptoolsDeprecationWarning _install_setup_requires PackageFinder setup Command PEP420PackageFinder _find_all_simple findall format_alias shquote alias strip_module make_zipfile _get_purelib write_safety_flag can_scan sorted_walk analyze_egg bdist_egg iter_symbols write_stub scan_module walk_egg bdist_rpm bdist_wininst build_clib get_abi3_suffix link_shared_object build_ext _customize_compiler_for_shlib build_py assert_relative _unique_everseen develop VersionlessRequirement dist_info is_sh chmod _patch_usage EasyInstallDeprecationWarning get_site_dirs get_win_launcher load_launcher_manifest isascii extract_wininst_cfg WindowsExecutableLauncherWriter RewritePthDistributions easy_install is_python ScriptWriter is_64bit _pythonpath current_umask bootstrap update_dist_caches WindowsCommandSpec auto_chmod _remove_and_clear_zip_directory_cache_data get_exe_prefixes _update_zipimporter_cache nt_quote_arg _to_bytes CommandSpec main _first_line_re is_python_script samefile WindowsScriptWriter expand_paths PthDistributions rmtree _uncache _collect_zipimporter_cache_entries write_pkg_info FileList overwrite_arg _write_requirements egg_info write_setup_requirements get_pkg_info_revision EggInfoDeprecationWarning write_requirements write_entries translate_pattern write_toplevel_names write_arg InfoCommon warn_depends_obsolete write_file manifest_maker install install_egg_info install_lib install_scripts sdist_add_defaults register rotate saveopts sdist walk_revctrl option_base edit_config config_file setopt NonDataProperty test ScanningLoader upload _encode upload_docs VendorImporter _SixMetaPathImporter remove_move u Module_six_moves_urllib_parse python_2_unicode_compatible create_unbound_method add_move assertRaisesRegex Module_six_moves_urllib_request print_ iteritems assertCountEqual MovedAttribute assertRegex _LazyDescr _MovedItems get_unbound_function MovedModule Module_six_moves_urllib iterlists wraps with_metaclass Module_six_moves_urllib_error itervalues _add_doc b _LazyModule Module_six_moves_urllib_response add_metaclass iterkeys Module_six_moves_urllib_robotparser reraise _import_module UndefinedEnvironmentName Op Marker _coerce_parse_result _get_env Variable Value UndefinedComparison InvalidMarker default_environment Node _format_marker _eval_op _evaluate_markers format_full_version Requirement InvalidRequirement _version_split BaseSpecifier _IndividualSpecifier Specifier _pad_version _require_version_compare SpecifierSet LegacySpecifier InvalidSpecifier canonicalize_name parse _BaseVersion InvalidVersion LegacyVersion _parse_local_version Version _legacy_cmpkey _parse_letter_version _cmpkey _parse_version_parts with_metaclass Infinity NegativeInfinity bdist_wheel safer_version safer_name convert_requirements requires_to_requires_dist generate_requirements pkginfo_to_metadata pkginfo_unicode dedent_description get_supported get_abbr_impl get_flag get_config_var get_abi_tag get_impl_ver get_impl_version_info get_platform write_pkg_info read_pkg_info read_pkg_info_bytes as_unicode as_bytes native urlsafe_b64decode urlsafe_b64encode get_zipinfo_datetime WheelFile main convert parse_wininst_info wininst2wheel egg2wheel _bdist_wheel_tag pack unpack WheelError convert_f unpack_f version_f parser pack_f main require_pkgresources check_code check_with_gcc check_with_clang Gen_Data_loader Dis_dataloader linear highway Discriminator Generator ROLLOUT generate_samples load_positive target_loss main pre_train_epoch TARGET_LSTM sethelper _init_pathinfo setencoding aliasmbcs _Printer addsitepackages virtual_addsitepackages setcopyright addusersitepackages check_enableusersite virtual_install_main_packages setBEGINLIBPATH addsitedir setquit _Helper force_global_eggs_after_local_site_packages execsitecustomize makepath removeduppaths addpackage fixclasspath abs__file__ addbuilddir execusercustomize _script sysconfig_get_python_lib sysconfig_get_python_inc sysconfig_get_config_vars build_ext find_config_files NoOpBuildEnvironment BuildEnvironment _Prefix Cache EphemWheelCache WheelCache SimpleWheelCache _normalize_name _disassemble_key Configuration MultiDomainBasicAuth InsecureHTTPAdapter SafeFileCache _copy_file unpack_http_url unpack_vcs_link is_archive_file unpack_file_url get_file_content unpack_url path_to_url is_vcs_url _progress_indicator _copy_dist_from_dir _download_url _download_http_url is_file_url url_to_path _check_download_dir is_dir_url PipSession LocalFSAdapter PipXmlrpcTransport is_url user_agent _get_used_vcs_backend PreviousBuildDirError PipError HashErrors BadCommand RequirementsFileParseError InvalidWheelFilename UninstallationError BestVersionAlreadyInstalled ConfigurationFileCouldNotBeLoaded InstallationError VcsHashUnsupported CommandError HashMissing ConfigurationError HashUnpinned DirectoryUrlHashUnsupported UnsupportedPythonVersion UnsupportedWheel HashError DistributionNotFound HashMismatch _determine_base_url _ensure_html_header _handle_get_page_fail PackageFinder _get_html_response _clean_link _ensure_html_response _get_encoding_from_headers _is_url_like_archive _find_name_version_sep _match_vcs_scheme _get_html_page _NotHTML _egg_info_matches _NotHTTP HTMLPage distutils_scheme virtualenv_no_global running_under_virtualenv write_delete_marker_file get_supported get_impl_tag get_abbr_impl get_darwin_arches _is_running_32bit is_manylinux1_compatible get_config_var get_flag is_manylinux2010_compatible get_all_minor_versions_as_strings get_abi_tag get_impl_ver get_impl_version_info get_platform load_pyproject_toml make_pyproject_path _is_list_of_str Resolver check_compatibility get_csv_rows_for_installed should_use_ephemeral_cache message_about_scripts_not_on_PATH get_entrypoints replace_python_tag fix_script WheelBuilder rehash Wheel open_for_csv _contains_egg_info move_wheel_files normpath sorted_outrows wheel_version root_is_purelib main get_path_completion_type autocomplete auto_complete_paths RequirementCommand Command make_option_group prefer_binary exists_action find_links trusted_host constraints only_binary _handle_no_binary editable extra_index_url _merge_hash check_install_build_global no_cache_dir_callback _get_format_control no_use_pep517_callback requirements raise_option_error _handle_only_binary no_binary check_dist_restriction create_main_parser parse_command invalid_config_error_message UpdatingDefaultsHelpFormatter ConfigOptionParser PrettyHelpFormatter CustomOptionParser CheckCommand CompletionCommand ConfigurationCommand DownloadCommand FreezeCommand HashCommand _hash_of_file HelpCommand InstallCommand create_env_error_message get_lib_location_guesses tabulate format_for_json ListCommand format_for_columns transform_hits highest_version SearchCommand print_results ShowCommand print_results search_packages_info UninstallCommand WheelCommand _sort_commands get_similar_commands get_summaries InstallationCandidate FormatControl PackageIndex Link _simulate_installation_of create_package_set_from_installed _create_whitelist check_package_set check_install_conflicts get_requirement_info freeze FrozenRequirement RequirementPreparer make_abstract_dist IsWheel Installed IsSDist DistAbstraction deduce_helpful_msg _strip_extras parse_editable install_req_from_req_string install_req_from_editable install_req_from_line ignore_comments join_lines break_args_options preprocess parse_requirements skip_regex expand_env_variables build_parser process_line InstallRequirement RequirementSet RequirementTracker uninstallation_paths compress_for_rename StashedUninstallPathSet compact _unique compress_for_output_listing UninstallPathSet UninstallPthEntries _script_names install_given_reqs user_data_dir _win_path_to_bytes _get_win_folder_from_registry site_config_dirs user_config_dir _get_win_folder_with_ctypes user_cache_dir get_extension_suffixes get_terminal_size samefile console_to_str native_str expanduser get_path_uid _showwarning PipDeprecationWarning install_warning_logger deprecated auto_decode check_path_owner check_glibc_version libc_ver glibc_version_string have_compatible_glibc Hashes MissingHashes split_auth_from_netloc captured_stderr rmtree_errorhandler ask normalize_path get_installed_version _transform_url ask_path_exists captured_stdout get_installed_distributions redact_password_from_url captured_output _make_build_dir dist_is_local is_svn_page split_leading_dir renames unpack_file unzip_file consume current_umask file_contents read_chunks make_vcs_requirement_url redact_netloc format_size read_text_file splitext get_prog ensure_dir FakeFile backup_dir protect_pip_from_modification_on_windows call_subprocess has_leading_dir is_local untar_file dist_in_usersite dist_location remove_auth_from_url dist_is_editable rmtree dist_in_site_packages is_installable_dir egg_link_path _get_netloc StreamWrapper display_path cached_property enum KeyBasedCompareMixin pip_version_check was_installed_by_pip SelfCheckState check_dist_requires_python check_requires_python get_metadata get_installer AdjacentTempDirectory TempDirectory hidden_cursor InteractiveSpinner InterruptibleMixin DownloadShadyBar DownloadProgressSpinner DownloadFillingCirclesBar BlueEmojiBar DownloadProgressMixin BaseDownloadProgressBar DownloadBlueEmojiProgressBar RateLimiter open_spinner DownloadSilentBar SilentBar DefaultDownloadProgressBar DownloadFillingSquaresBar _select_progress_class DownloadProgressProvider NonInteractiveSpinner DownloadChargingBar DownloadIncrementalBar SpinnerInterface WindowsMixin Bazaar looks_like_hash Git Mercurial Subversion RevOptions VersionControl VcsSupport RemoteNotFoundError user_data_dir user_log_dir _get_win_folder_from_registry AppDirs user_config_dir _get_win_folder_with_pywin32 user_state_dir site_config_dir _get_win_folder_with_ctypes site_data_dir user_cache_dir _get_win_folder_with_jna uname_attr uname_info LinuxDistribution lsb_release_attr id codename minor_version major_version name distro_release_attr linux_distribution os_release_info version_parts version build_number info os_release_attr main lsb_release_info like distro_release_info cached_property _BaseAddress summarize_address_range _IPv4Constants _IPAddressBase ip_interface _count_righthand_zero_bits _BaseV6 collapse_addresses AddressValueError IPv6Interface _BaseV4 IPv4Address _compat_to_bytes IPv6Address get_mixed_type_key _compat_bytes_to_byte_vals _split_optional_netmask ip_address ip_network NetmaskValueError v6_int_to_packed _IPv6Constants _find_address_range _compat_bit_length IPv4Network _BaseNetwork v4_int_to_packed _compat_range IPv6Network _collapse_addresses_internal IPv4Interface _TotalOrderingMixin RecursiveGrammarException ParseFatalException _defaultSuccessDebugAction matchPreviousExpr MatchFirst unicode_set oneOf Keyword CloseMatch LineStart _lazyclassproperty withClass ParseSyntaxException locatedExpr srange QuotedString removeQuotes delimitedList countedArray OneOrMore Literal line TokenConverter _makeTags indentedBlock pyparsing_unicode ParseException _escapeRegexRangeChars NotAny CaselessKeyword LineEnd SkipTo _ParseResultsWithOffset _xml_escape StringStart _flatten Suppress makeHTMLTags Word replaceHTMLEntity ParseBaseException White Forward _defaultStartDebugAction originalTextFor infixNotation Token ZeroOrMore Combine OnlyOnce _ForwardNoRecurse replaceWith dictOf lineno pyparsing_common makeXMLTags Regex StringEnd _defaultExceptionDebugAction Empty Dict ParserElement ParseExpression And _trim_arity GoToColumn CharsNotIn Each CaselessLiteral _MultipleMatch ParseResults nestedExpr traceParseAction WordEnd Optional Or withAttribute Char Group WordStart _NullToken tokenMap ParseElementEnhance PrecededBy matchPreviousLiteral _PositionToken matchOnlyAtCol FollowedBy NoMatch col ungroup nullDebugAction Retrying retry RetryError Attempt _SixMetaPathImporter remove_move u Module_six_moves_urllib_parse python_2_unicode_compatible create_unbound_method add_move assertRaisesRegex Module_six_moves_urllib_request print_ iteritems ensure_binary assertCountEqual MovedAttribute assertRegex _LazyDescr _MovedItems get_unbound_function MovedModule ensure_str Module_six_moves_urllib iterlists wraps with_metaclass Module_six_moves_urllib_error itervalues _add_doc b _LazyModule Module_six_moves_urllib_response ensure_text add_metaclass iterkeys Module_six_moves_urllib_robotparser reraise _import_module vendored CacheControlAdapter DictCache BaseCache CacheController parse_uri CallbackFileWrapper OneDayCache BaseHeuristic ExpiresAfter LastModified expire_after datetime_to_header _b64_decode_bytes _b64_decode_str Serializer CacheControl main get_args get_session setup_logging _secure_open_write FileCache url_to_file_path RedisCache where EUCTWProber Big5Prober Big5DistributionAnalysis EUCTWDistributionAnalysis CharDistributionAnalysis SJISDistributionAnalysis EUCJPDistributionAnalysis GB2312DistributionAnalysis EUCKRDistributionAnalysis CharSetGroupProber CharSetProber CodingStateMachine CP949Prober CharacterCategory MachineState ProbingState LanguageFilter InputState SequenceLikelihood EscCharSetProber EUCJPProber EUCKRProber GB2312Prober HebrewProber SJISContextAnalysis EUCJPContextAnalysis JapaneseContextAnalysis Latin1Prober MultiByteCharSetProber MBCSGroupProber SingleByteCharSetProber SBCSGroupProber SJISProber UniversalDetector UTF8Prober detect main description_of AnsiCodes set_title code_to_chars AnsiCursor AnsiBack clear_line AnsiFore AnsiStyle clear_screen AnsiToWin32 StreamWrapper wrap_stream reinit reset_all init deinit colorama_text WinStyle WinColor WinTerm quote splituser InstalledDistribution make_dist DistributionPath DependencyGraph get_dependent_dists get_required_dists Distribution EggInfoDistribution BaseInstalledDistribution _Cache make_graph PackageIndex RedirectHandler get_all_distribution_names JSONLocator PyPIRPCLocator Page DependencyFinder DirectoryLocator PyPIJSONLocator DistPathLocator SimpleScrapingLocator Locator AggregatingLocator Manifest interpret Evaluator _is_literal default_context MetadataConflictError MetadataMissingError LegacyMetadata _best_version _get_name_and_version Metadata _version2fieldlist MetadataInvalidError MetadataUnrecognizedVersionError ZipResourceFinder ResourceFinder ResourceCache ResourceBase Resource register_finder finder ResourceContainer finder_for_path _enquote_executable ScriptMaker split_filename HTTPSConnection get_executable read_exports get_process_umask Transport CSVReader path_to_cache_dir convert_path get_extras _iglob socket_timeout parse_credentials extract_by_key get_resources_dests FileOperator HTTP is_string_sequence HTTPSHandler SafeTransport ExportEntry parse_name_and_version get_project_data zip_dir CSVWriter _csv_open SubprocessMixin iglob chdir parse_marker parse_requirement Sequencer unarchive get_export_entry proceed CSVBase normalize_name resolve Cache Progress ServerProxy write_exports _get_external_data in_venv HTTPSOnlyHandler get_cache_base Configurator HTTPS ensure_slash get_package_data EventMixin cached_property tempdir get_scheme NormalizedVersion UnsupportedVersionError VersionScheme _suggest_normalized_version LegacyVersion NormalizedMatcher _suggest_semantic_version Version is_semver Matcher _legacy_key SemanticVersion LegacyMatcher _match_prefix SemanticMatcher _pep_440_key _semantic_key Mounter is_compatible compatible_tags Wheel DistlibException RegistryError move unpack_archive _ensure_directory register_unpack_format copy2 _basename _check_unpack_options _make_tarball SpecialFileError ReadError _samefile _call_external_zip unregister_unpack_format _find_unpack_format _unpack_zipfile copyfile unregister_archive_format copytree copyfileobj copystat register_archive_format _unpack_tarfile copy _destinsrc make_archive _get_gid get_unpack_formats Error ExecError ignore_patterns _make_zipfile get_archive_formats rmtree _get_uid copymode _subst_vars _extend_dict _getuserbase get_config_var get_path_names get_scheme_names _expand_vars _init_posix _ensure_cfg_read _get_default_scheme format_value get_python_version get_path parse_config_h _init_non_posix get_paths get_config_vars get_config_h_filename _parse_makefile _print_dict _main _safe_realpath is_python_build _expand_globals get_makefile_filename get_platform _LowLevelFile TarError StreamError filemode ReadError TarFile _StreamProxy itn is_tarfile EmptyHeaderError EOFHeaderError SubsequentHeaderError stn calc_chksums copyfileobj nti HeaderError TarIter InvalidHeaderError nts _BZ2Proxy TarInfo _Stream _FileInFile ExtractError CompressionError ExFileObject TruncatedHeaderError _ReparseException DataLossWarning parseFragment adjust_attributes parse impliedTagToken getPhases ParseError method_decorator_metaclass HTMLParser serialize SerializeError htmlentityreplace_errors HTMLSerializer hexToInt normaliseCharList escapeRegexp charStringToList listToRegexpStr missingRanges InfosetFilter BufferedStream HTMLUnicodeInputStream HTMLBinaryInputStream HTMLInputStream EncodingBytes lookupEncoding EncodingParser ContentAttrParser HTMLTokenizer isSurrogatePair MethodDispatcher surrogatePairToCodepoint moduleFactoryFactory memoize _attr_key Filter Filter Filter collapse_spaces to_genshi to_sax TreeBuilder Node ActiveFormattingElements getDomBuilder getETreeBuilder DocumentType testSerializer Document tostring getTreeBuilder NonRecursiveTreeWalker TreeWalker TreeWalker getETreeBuilder ensure_str FragmentWrapper Root Doctype FragmentRoot concatenateCharacterTokens pprint getTreeWalker Trie Trie Trie StreamWriter Codec getregentry IncrementalEncoder IncrementalDecoder StreamReader ToASCII nameprep ToUnicode decode IDNAError _is_script check_initial_combiner check_hyphen_ok ulabel check_label check_bidi _combining_class encode valid_string_length uts46_remap alabel InvalidCodepoint InvalidCodepointContext valid_contextj valid_contexto valid_label_length check_nfc _unot _punycode IDNABidiError _decode_range intranges_contain _encode_range intranges_from_list _seg_37 _seg_70 _seg_72 _seg_4 _seg_63 _seg_36 _seg_19 _seg_53 _seg_23 _seg_55 _seg_12 _seg_41 _seg_47 _seg_74 _seg_17 _seg_58 _seg_60 _seg_66 _seg_10 _seg_8 _seg_56 _seg_68 _seg_33 _seg_65 _seg_45 _seg_3 _seg_51 _seg_30 _seg_73 _seg_52 _seg_13 _seg_67 _seg_62 _seg_15 _seg_50 _seg_38 _seg_22 _seg_76 _seg_42 _seg_44 _seg_71 _seg_61 _seg_5 _seg_46 _seg_57 _seg_49 _seg_14 _seg_26 _seg_25 _seg_1 _seg_24 _seg_77 _seg_11 _seg_48 _seg_78 _seg_0 _seg_6 _seg_35 _seg_21 _seg_54 _seg_59 _seg_31 _seg_29 _seg_7 _seg_43 _seg_18 _seg_75 _seg_40 _seg_2 _seg_9 _seg_32 _seg_27 _seg_16 _seg_34 _seg_69 _seg_39 _seg_28 _seg_20 _seg_64 LinkLockFile MkdirLockFile read_pid_from_pidfile write_pid_to_pidfile PIDLockFile remove_existing_pidfile SQLiteLockFile SymlinkLockFile Error LockBase NotLocked _SharedBase LockError LockFailed LockTimeout _fl_helper MkdirFileLock LinkFileLock UnlockError SQLiteFileLock NotMyLock AlreadyLocked locked PackOverflowError OutOfData BufferFull PackException PackValueError UnpackValueError ExtraData UnpackException Packer dict_iteritems _get_data_from_buffer unpack _check_type_strict Unpacker StringIO unpackb pack ExtType packb unpack UndefinedEnvironmentName Op Marker _coerce_parse_result _get_env Variable Value UndefinedComparison InvalidMarker default_environment Node _format_marker _eval_op _evaluate_markers format_full_version Requirement InvalidRequirement _version_split BaseSpecifier _IndividualSpecifier Specifier _pad_version _require_version_compare SpecifierSet LegacySpecifier InvalidSpecifier canonicalize_version canonicalize_name parse _BaseVersion InvalidVersion LegacyVersion _parse_local_version Version _legacy_cmpkey _parse_letter_version _cmpkey _parse_version_parts with_metaclass Infinity NegativeInfinity build mkdir_p _do_build main tempdir check_build_wheel check_build_sdist check main ansi _stderr_supports_color enable_colourful_output LogFormatter read_json write_json _load_pyproject build_sdist BuildEnvironment build_wheel BackendUnavailable UnsupportedOperation Pep517HookCaller default_subprocess_runner tempdir build_wheel _find_already_built_wheel BackendUnavailable prepare_metadata_for_build_wheel _DummyException build_sdist _get_wheel_metadata_from_wheel _dist_info_files get_requires_for_build_wheel main get_requires_for_build_sdist GotUnsupportedOperation _build_backend _makedirs_31 _is_egg_path NullProvider _rebuild_mod_path get_build_platform Environment invalid_marker fixup_namespace_packages __getstate__ get_supported_platform _cygwin_patch EggProvider _sset_dict VersionConflict find_eggs_in_zip register_finder ResolutionError _macosx_arch DistributionNotFound register_loader_type safe_listdir load_entry_point dist_factory parse_version WorkingSet ZipManifests UnknownExtra _initialize find_distributions PathMetadata FileMetadata PEP440Warning find_on_path _version_from_file safe_extra file_ns_handler _normalize_cached get_entry_info _bypass_ensure_directory EggInfoDistribution safe_name ExtractionError ResourceManager EggMetadata declare_namespace MemoizedZipManifests DistInfoDistribution get_entry_map _initialize_master_working_set _by_version_descending ContextualVersionConflict normalize_path register_namespace_handler Distribution find_nothing issue_warning parse_requirements IResourceProvider DefaultProvider _always_object resolve_egg_link compatible_platforms evaluate_marker get_provider IMetadataProvider _find_adapter safe_version PkgResourcesDeprecationWarning _sget_dict Requirement RequirementParseError _handle_ns _call_aside _remove_md5_fragment yield_lines ensure_directory null_ns_handler _macosx_vers get_distribution EmptyProvider EntryPoint split_sections get_default_cache ZipProvider _set_parent_ns __setstate__ _ReqExtras _mkstemp distributions_from_metadata run_script _sget_object _is_unpacked_egg NoDists _sset_object non_empty_lines to_filename _declare_state FillingSquaresBar FillingCirclesBar IncrementalBar ChargingBar ShadyBar PixelBar Bar Countdown Stack Counter Pie SigIntMixin WriteMixin WritelnMixin PieSpinner MoonSpinner Spinner PixelSpinner LineSpinner Progress Infinite TomlError load _p_stmt _Source _p_toml _p_value _p_basicstr_content loads _p_ws _p_key _p_ews translate_to_test format_rfc3339 parse_rfc3339_re _TimeZone parse_rfc3339 dump _escape_id _escape_string dumps _format_value HTTPAdapter BaseAdapter get options request patch delete put post head HTTPProxyAuth _basic_auth_str HTTPDigestAuth AuthBase HTTPBasicAuth MockRequest _copy_cookie_jar cookiejar_from_dict extract_cookies_to_jar CookieConflictError merge_cookies morsel_to_cookie create_cookie MockResponse RequestsCookieJar get_cookie_header remove_cookie_by_name HTTPError ChunkedEncodingError ProxyError Timeout StreamConsumedError URLRequired SSLError InvalidURL InvalidHeader RequestException ConnectionError InvalidSchema FileModeWarning RequestsWarning RequestsDependencyWarning InvalidProxyURL RetryError TooManyRedirects MissingSchema ContentDecodingError ConnectTimeout ReadTimeout UnrewindableBodyError main _implementation info dispatch_hook default_hooks Response RequestEncodingMixin PreparedRequest Request RequestHooksMixin session SessionRedirectMixin merge_setting merge_hooks Session _init CaseInsensitiveDict LookupDict guess_filename prepend_scheme_if_needed address_in_network is_valid_cidr _parse_content_type_header to_key_val_list get_auth_from_url parse_list_header select_proxy stream_decode_response_unicode extract_zipped_paths should_bypass_proxies urldefragauth get_encoding_from_headers set_environ default_user_agent unquote_unreserved super_len proxy_bypass_registry dict_to_sequence dotted_netmask get_unicode_from_response default_headers requote_uri is_ipv4_address rewind_body parse_dict_header proxy_bypass dict_from_cookiejar parse_header_links guess_json_utf unquote_header_value get_netrc_auth check_header_validity get_environ_proxies iter_slices get_encodings_from_content from_key_val_list add_dict_to_cookiejar unicode_is_ascii to_native_string check_compatibility _check_cryptography _match_hostname HTTPSConnection DummyConnection VerifiedHTTPSConnection HTTPConnection ConnectionPool connection_from_url _ipv6_host HTTPSConnectionPool HTTPConnectionPool ProtocolError HTTPError ConnectTimeoutError ProxySchemeUnknown DecodeError NewConnectionError HeaderParsingError SSLError InvalidHeader HostChangedError TimeoutError IncompleteRead PoolError InsecureRequestWarning ResponseError ClosedPoolError DependencyWarning MaxRetryError LocationValueError HTTPWarning ResponseNotChunked TimeoutStateError SecurityWarning InsecurePlatformWarning BodyNotHttplibCompatible EmptyPoolError SystemTimeWarning LocationParseError RequestError SubjectAltNameWarning SNIMissingWarning ProxyError ReadTimeoutError UnrewindableBodyError RequestField format_header_param guess_content_type encode_multipart_formdata iter_fields iter_field_objects choose_boundary proxy_from_url _default_key_normalizer ProxyManager PoolManager RequestMethods DeflateDecoder MultiDecoder GzipDecoderState GzipDecoder HTTPResponse _get_decoder HTTPHeaderDict RecentlyUsedContainer add_stderr_logger disable_warnings AppEngineManager AppEnginePlatformWarning AppEnginePlatformError NTLMConnectionPool WrappedSocket _dnsname_to_stdlib inject_into_urllib3 get_subj_alt_name _validate_dependencies_met PyOpenSSLContext _verify_callback extract_from_urllib3 makefile SecureTransportContext WrappedSocket inject_into_urllib3 extract_from_urllib3 _read_callback _write_callback makefile SOCKSHTTPSConnection SOCKSHTTPSConnectionPool SOCKSHTTPConnectionPool SOCKSProxyManager SOCKSConnection is_appengine is_prod_appengine_mvms is_appengine_sandbox is_local_appengine is_prod_appengine SecurityConst CFConst _assert_no_error _load_client_cert_chain _is_cert _cf_data_from_bytes _cf_string_to_unicode _temporary_keychain _is_identity _load_items_from_file _cf_dictionary_from_tuples _cert_array_from_pem OrderedDict _SixMetaPathImporter remove_move u Module_six_moves_urllib_parse python_2_unicode_compatible create_unbound_method add_move assertRaisesRegex Module_six_moves_urllib_request print_ iteritems assertCountEqual MovedAttribute assertRegex _LazyDescr _MovedItems get_unbound_function MovedModule Module_six_moves_urllib iterlists wraps with_metaclass Module_six_moves_urllib_error itervalues _add_doc b _LazyModule Module_six_moves_urllib_response add_metaclass iterkeys Module_six_moves_urllib_robotparser reraise _import_module backport_makefile match_hostname CertificateError _to_unicode _dnsname_match _ipaddress_match _has_ipv6 allowed_gai_family _set_socket_options is_connection_dropped create_connection LifoQueue set_file_position make_headers rewind_body is_response_to_head is_fp_closed assert_header_parsing Retry resolve_ssl_version resolve_cert_reqs ssl_wrap_socket _const_compare_digest_backport is_ipaddress assert_fingerprint create_urllib3_context Timeout Url split_first get_host parse_url _have_working_poll select_wait_for_socket NoWayToWaitForSocketError wait_for_socket poll_wait_for_socket wait_for_read wait_for_write null_wait_for_socket _retry_on_intr assert_lower generate test_invalid_label test_decode test_iter_decode assert_raises test_all_labels test_encode test_x_user_defined test_iter_encode test_labels StreamWriter Codec IncrementalEncoder IncrementalDecoder StreamReader decode encode _iter_decode_generator _get_encoding iter_decode iter_encode lookup Encoding IncrementalEncoder _iter_encode_generator IncrementalDecoder _detect_bom ascii_lower _makedirs_31 _is_egg_path NullProvider _rebuild_mod_path get_build_platform Environment invalid_marker fixup_namespace_packages __getstate__ get_supported_platform _cygwin_patch EggProvider _sset_dict VersionConflict find_eggs_in_zip register_finder ResolutionError _macosx_arch DistributionNotFound register_loader_type safe_listdir load_entry_point dist_factory parse_version WorkingSet ZipManifests UnknownExtra _initialize find_distributions PathMetadata FileMetadata PEP440Warning find_on_path _version_from_file safe_extra file_ns_handler _normalize_cached get_entry_info _bypass_ensure_directory EggInfoDistribution safe_name ExtractionError ResourceManager EggMetadata declare_namespace MemoizedZipManifests DistInfoDistribution get_entry_map _initialize_master_working_set _by_version_descending ContextualVersionConflict normalize_path register_namespace_handler Distribution find_nothing issue_warning parse_requirements IResourceProvider DefaultProvider _always_object resolve_egg_link compatible_platforms evaluate_marker get_provider IMetadataProvider _find_adapter safe_version PkgResourcesDeprecationWarning _sget_dict Requirement RequirementParseError _handle_ns _call_aside _remove_md5_fragment yield_lines ensure_directory null_ns_handler _macosx_vers get_distribution EmptyProvider EntryPoint split_sections get_default_cache ZipProvider _set_parent_ns __setstate__ _ReqExtras _mkstemp distributions_from_metadata run_script _sget_object _is_unpacked_egg NoDists _sset_object non_empty_lines to_filename _declare_state VendorImporter user_data_dir user_log_dir _get_win_folder_from_registry AppDirs user_config_dir _get_win_folder_with_pywin32 user_state_dir site_config_dir _get_win_folder_with_ctypes site_data_dir user_cache_dir _get_win_folder_with_jna _SixMetaPathImporter remove_move u Module_six_moves_urllib_parse python_2_unicode_compatible create_unbound_method add_move assertRaisesRegex Module_six_moves_urllib_request print_ iteritems assertCountEqual MovedAttribute assertRegex _LazyDescr _MovedItems get_unbound_function MovedModule Module_six_moves_urllib iterlists wraps with_metaclass Module_six_moves_urllib_error itervalues _add_doc b _LazyModule Module_six_moves_urllib_response add_metaclass iterkeys Module_six_moves_urllib_robotparser reraise _import_module UndefinedEnvironmentName Op Marker _coerce_parse_result _get_env Variable Value UndefinedComparison InvalidMarker default_environment Node _format_marker _eval_op _evaluate_markers format_full_version Requirement InvalidRequirement _version_split BaseSpecifier _IndividualSpecifier Specifier _pad_version _require_version_compare SpecifierSet LegacySpecifier InvalidSpecifier canonicalize_name parse _BaseVersion InvalidVersion LegacyVersion _parse_local_version Version _legacy_cmpkey _parse_letter_version _cmpkey _parse_version_parts with_metaclass Infinity NegativeInfinity unpack_archive unpack_zipfile unpack_directory unpack_tarfile UnrecognizedFormat default_filter SetupRequirementsError _BuildMetaBackend _get_immediate_subdirectories Distribution _to_str _BuildMetaLegacyBackend _file_with_extension read_configuration ConfigHandler ConfigMetadataHandler ConfigOptionsHandler configuration_to_dict _get_option parse_configuration get_module_constant _update_globals extract_constant find_module Require newer_pairwise_group check_importable _check_extra _get_unpatched Distribution check_nsp check_test_suite check_requirements check_package_data assert_bool check_entry_points read_pkg_file write_pkg_file check_packages get_metadata_version DistDeprecationWarning check_extras Feature check_specifier assert_string_list Library Extension _have_cython check_glibc_version libc_ver glibc_version_string have_compatible_glibc iglob glob _isrecursive glob0 _iglob escape _rlistdir has_magic glob1 glob2 run DistutilsRefactoringTool Mixin2to3 _get_mro patch_func get_unpatched_function patch_all get_unpatched _patch_distribution_metadata patch_for_msvc_specialized_compiler get_unpatched_class _augment_exception RegistryInfo msvc9_find_vcvarsall SystemInfo msvc14_gen_lib_options EnvironmentInfo PlatformInfo msvc9_query_vcvarsall msvc14_get_vc_env Installer DevelopInstaller decode_entity HashChecker parse_bdist_wininst socket_timeout open_with_auth parse_requirement_arg interpret_distro_name find_external_links htmldecode ContentChecker _encode_auth Credential PyPIConfig unique_everseen unique_values egg_info_for_url PackageIndex _splituser fix_sf_url local_open distros_for_location distros_for_filename distros_for_url get_supported get_impl_tag get_abbr_impl get_darwin_arches _is_running_32bit is_manylinux1_compatible get_config_var get_flag get_abi_tag get_impl_ver get_impl_version_info get_platform get_all_headers Bytecode_compat hide_setuptools _clear_modules ExceptionSaver save_path DirectorySandbox save_argv UnpickleableException override_temp _needs_hiding run_setup SandboxViolation _execfile save_modules pushd save_pkg_resources_state setup_context AbstractSandbox __boot opener_for match_hostname _certifi_where CertificateError find_ca_bundle get_win_certfile _dnsname_match VerifyingHTTPSConn once VerifyingHTTPSHandler filesys_decode detect_encoding try_encode decompose unpack Wheel windows_only hide_file SetuptoolsDeprecationWarning _install_setup_requires PackageFinder setup Command PEP420PackageFinder _find_all_simple findall format_alias shquote alias strip_module make_zipfile _get_purelib write_safety_flag can_scan sorted_walk analyze_egg bdist_egg iter_symbols write_stub scan_module walk_egg bdist_rpm bdist_wininst build_clib get_abi3_suffix link_shared_object build_ext _customize_compiler_for_shlib build_py assert_relative _unique_everseen develop VersionlessRequirement dist_info is_sh chmod _patch_usage EasyInstallDeprecationWarning get_site_dirs get_win_launcher load_launcher_manifest isascii extract_wininst_cfg WindowsExecutableLauncherWriter RewritePthDistributions easy_install is_python ScriptWriter is_64bit _pythonpath current_umask bootstrap update_dist_caches WindowsCommandSpec auto_chmod _remove_and_clear_zip_directory_cache_data get_exe_prefixes _update_zipimporter_cache nt_quote_arg _to_bytes CommandSpec main _first_line_re is_python_script samefile WindowsScriptWriter expand_paths PthDistributions rmtree _uncache _collect_zipimporter_cache_entries write_pkg_info FileList overwrite_arg _write_requirements egg_info write_setup_requirements get_pkg_info_revision EggInfoDeprecationWarning write_requirements write_entries translate_pattern write_toplevel_names write_arg InfoCommon warn_depends_obsolete write_file manifest_maker install install_egg_info install_lib install_scripts sdist_add_defaults register rotate saveopts sdist walk_revctrl option_base edit_config config_file setopt NonDataProperty test ScanningLoader upload _encode upload_docs VendorImporter _SixMetaPathImporter remove_move u Module_six_moves_urllib_parse python_2_unicode_compatible create_unbound_method add_move assertRaisesRegex Module_six_moves_urllib_request print_ iteritems assertCountEqual MovedAttribute assertRegex _LazyDescr _MovedItems get_unbound_function MovedModule Module_six_moves_urllib iterlists wraps with_metaclass Module_six_moves_urllib_error itervalues _add_doc b _LazyModule Module_six_moves_urllib_response add_metaclass iterkeys Module_six_moves_urllib_robotparser reraise _import_module UndefinedEnvironmentName Op Marker _coerce_parse_result _get_env Variable Value UndefinedComparison InvalidMarker default_environment Node _format_marker _eval_op _evaluate_markers format_full_version Requirement InvalidRequirement _version_split BaseSpecifier _IndividualSpecifier Specifier _pad_version _require_version_compare SpecifierSet LegacySpecifier InvalidSpecifier canonicalize_name parse _BaseVersion InvalidVersion LegacyVersion _parse_local_version Version _legacy_cmpkey _parse_letter_version _cmpkey _parse_version_parts with_metaclass Infinity NegativeInfinity bdist_wheel safer_version safer_name convert_requirements requires_to_requires_dist generate_requirements pkginfo_to_metadata pkginfo_unicode dedent_description get_supported get_abbr_impl get_flag get_config_var get_abi_tag get_impl_ver get_impl_version_info get_platform write_pkg_info read_pkg_info read_pkg_info_bytes as_unicode as_bytes native urlsafe_b64decode urlsafe_b64encode get_zipinfo_datetime WheelFile main convert parse_wininst_info wininst2wheel egg2wheel _bdist_wheel_tag pack unpack WheelError convert_f unpack_f version_f parser pack_f main require_pkgresources str read write append Popen str read write append Popen as_list int range extend generate next_batch print num_batch append pretrain_loss reset_pointer range run pretrain_step print num_batch append next_batch reset_pointer range check_code Dis_dataloader num_batch Gen_Data_loader create_batches TARGET_LSTM Session ROLLOUT run seed open str Generator savefig Discriminator append pre_train_epoch generate range plot astype load_train_data close get_reward update_params ConfigProto load generate_samples train_op print g_updates load_positive write float32 now dict global_variables_initializer next_batch reset_pointer len join abspath list getattr abspath values makepath add set path append append join hasattr dirname makepath isdir add set path join makepath rstrip exec add _init_pathinfo startswith append open makepath endswith sort extsep addpackage _init_pathinfo append listdir get join isdir getobjects insert startswith append addsitedir get join isdir joinuser addsitedir append join prefix split Quitter __file__ _Printer version dirname copyright _Helper lookup startswith setdefaultencoding getdefaultlocale join list real_prefix insert strip close extend _multiarch dirname platform append exists open path getattr enumerate force_global_eggs_after_local_site_packages append path extend sethelper addsitepackages virtual_addsitepackages aliasmbcs hasattr setcopyright removeduppaths execsitecustomize addusersitepackages fixclasspath abs__file__ virtual_install_main_packages addbuilddir check_enableusersite execusercustomize setencoding setBEGINLIBPATH setquit join print exit path dedent append join remove list endswith old_find_config_files prefix isfile append real_prefix real_prefix join old_get_config_vars real_prefix replace startswith join list python_version pypy_version_info machine linux_distribution system dict OPENSSL_VERSION filter get_installed_version libc_ver startswith zip release get replace unquote search group lstrip lower raise_for_status match startswith lower url2pathname urlsplit urljoin abspath normpath pathname2url lower unpack _get_used_vcs_backend backends url backend url_without_fragment url_to_path int DownloadProgressProvider resp_read progress_indicator debug url_without_fragment format_size check_against_chunks getattr info consume written_chunks show_url join remove info move backup_dir exit copy warning filename ask_path_exists display_path exists is_dir_url isdir _check_download_dir url_without_fragment _copy_file unpack_file rmtree info check_against_path copytree url_to_path join isdir unpack_file rmtree info append unpack_file_url PipSession unpack_vcs_link unpack_http_url is_file_url is_vcs_url write_delete_marker_file get join raise_for_status guess_extension filename parse_header join filename info check_against_path exists schemes endswith filename get raise_for_status head urlsplit _ensure_html_header get _ensure_html_header debug _ensure_html_response _is_url_like_archive raise_for_status debug meth urljoin debug _get_html_response _match_vcs_scheme urlparse compile enumerate _find_name_version_sep get findall parse_header join hasattr __file__ join dirname abspath update join running_under_virtualenv get_command_obj Distribution dict parse_config_files finalize_options getattr prefix hasattr startswith join get_impl_version_info map get_config_var debug get_config_var get_abbr_impl get_flag replace get_config_var mac_ver replace split OrderedDict _supports_arch append append join range map get_impl_version_info sorted get_extension_suffixes list partition groups add append range format get_darwin_arches is_manylinux1_compatible reversed set get_all_minor_versions_as_strings startswith enumerate int extend is_manylinux2010_compatible match encode join getfilesystemencoding get isfile rstrip sha256 split isfile match listdir replace parse_map get dict join sorted basename defaultdict format list items executable add dirname append normcase pop format tuple rehash warning append rstrip move clobber warning sep getvalue append distutils_scheme root_is_purelib get_entrypoints debug set make_multiple listdir pop join make message_about_scripts_not_on_PATH extend ScriptMaker tuple strip map get_metadata split parsestr join warning map VERBOSE compile is_wheel name link splitext info constraint setlocale autocomplete parse_command install_warning_logger LC_ALL int get_path_completion_type join _short_opts auto_complete_paths print _long_opts exit key create_main_parser lower option_list_all startswith append option_list get_installed_distributions split join isdir abspath normcase split join format error fill split option add_option OptionGroup disallow_binaries map format_control warn any FormatControl any set only_binary values no_binary _get_format_control handle_mutual_excludes only_binary values no_binary _get_format_control handle_mutual_excludes FormatControl set FormatControl set strtobool raise_option_error append error split join make_option_group disable_interspersed_args add_option_group ConfigOptionParser dirname abspath general_group get_summaries remove get_similar_commands write linesep exit create_main_parser print_help version append parse_args distutils_scheme append str extend append join max get_installer location latest_filetype latest_version append outdated get_installer text_type location latest_filetype latest_version append outdated OrderedDict append get join get_distribution wrap highest_version info max get working_set sorted isinstance strip close DistInfoDistribution feed get_metadata_lines get_metadata splitlines startswith append FeedParser has_metadata strip enumerate _sort_commands items list list lower keys get_close_matches compile canonicalize_name version PackageDetails requires project_name get_installed_distributions sorted should_ignore evaluate set dict add canonicalize_name version requires project_name _simulate_installation_of create_package_set_from_installed _create_whitelist dist set add canonicalize_name version PackageDetails key requires add requires set join sorted defaultdict iteritems list search set warning from_dist values get_installed_distributions get_backend_type location debug as_requirement warning abspath normcase get_src_requirement project_name editable match group join format _strip_extras isdir path_to_url lower abspath isfile startswith make_pyproject_path egg_fragment exists Requirement parse_editable startswith url_to_path filename is_wheel is_archive_file Marker _strip_extras Link strip Wheel extras path Requirement is_url warning normpath abspath path_to_url egg_fragment split Requirement get_file_content preprocess process_line ignore_comments join_lines skip_regex splitlines expand_env_variables enumerate pre urljoin require_hashes search break_args_options parse_requirements abspath find_links get_default_values exists extra_index_urls editables dirname trusted_hosts append encode parse_args check_install_build_global build_parser format_control index_url requirements join extend split append pop split add_option option_factory OptionParser append match strip strip sub filterfalse compile findall getenv replace append join dist_in_usersite join reader location endswith get_metadata_lines FakeFile split sorted add set any sep update sorted set dict add any difference_update sep walk join list endswith compact map add set dirname normcase walk join info join _win_path_to_bytes getenv normpath expanduser _get_win_folder join getenv normpath expanduser _get_win_folder user_data_dir getenv join expanduser append getenv _get_win_folder normpath HKEY_CURRENT_USER QueryValueEx OpenKey create_unicode_buffer value GetShortPathNameW SHGetFolderPathW getpreferredencoding decode encode getattr isinstance hasattr O_RDONLY close st_uid O_NOFOLLOW open path hasattr abspath normcase issubclass warning _original_showwarning getLogger simplefilter showwarning str warn decode startswith get_path_uid lexists gnu_get_libc_version decode CDLL c_char_p match warn glibc_version_string glibc_version_string makedirs basename chmod st_mode S_IREAD S_IWRITE func decode getdefaultencoding getcwd abspath startswith encode normcase sep getfilesystemencoding str exists split get print lower eval input join isfile read lstrip split_leading_dir realpath expanduser abspath endswith makedirs move removedirs split normalize_path dist_location join path project_name isfile join running_under_virtualenv virtualenv_no_global isfile append project_name egg_link_path umask join infolist dirname filename ensure_dir ZipFile open getmembers has_leading_dir join extractfile chmod isdir endswith name issym current_umask close utime mode warning dirname ensure_dir _extract_member open untar_file realpath unzip_file unpack critical rstrip wait returncode console_to_str warning finish Popen append spin update readline replace debug close copy info pop join PIPE decode write_delete_marker_file makedirs from_stream setattr getattr WorkingSet parse find deque list dict zip range len to_filename format rsplit tuple split split_auth_from_netloc urlunsplit netloc urlsplit transform_netloc get_distribution str parse PackageFinder find_all_candidates strptime get_installed_version utcnow SelfCheckState version save warning join SpecifierSet map parse location feed warning FeedParser display_path has_metadata get get_metadata get_metadata_lines strip has_metadata file encode getattr stdout stdout write InteractiveSpinner NonInteractiveSpinner join getenv normpath expanduser _get_win_folder getenv join site_data_dir user_data_dir getenv join expanduser user_data_dir join expanduser user_cache_dir str GetShortPathName SHGetFolderPath getattr MAX_PATH SHGFP_TYPE_CURRENT rstrip SHGetFolderPath INSTANCE getattr GetShortPathName zeros ShlObj stdout json getLogger addHandler name codename add_argument dumps StreamHandler version ArgumentParser info DEBUG setLevel parse_args isinstance isinstance split next iter _count_righthand_zero_bits min _ip ip _max_prefixlen _compat_bit_length pop get list sorted supernet append values sorted isinstance summarize_address_range extend set append _find_address_range ip isinstance frozenset __reduce__ IPv4Address IPv4Network frozenset __reduce__ IPv6Network replace zip rfind find print _ustr print str asList _ustr print _ustr extract_stack extract_tb getattr __name__ RLock type compile _trim_arity __name__ _ustr addParseAction copy Forward setName setParseAction append extend isinstance setName Forward _ustr addParseAction _ustr addParseAction copy Forward setName replace list isinstance insert masks warn isequal enumerate split locMarker copy endlocMarker ignoreExprs setParseAction setParseAction getattr __name__ Word join Keyword ZeroOrMore _L isinstance tagStr name Combine Optional Group setName Suppress Dict setParseAction items list isinstance _FB Optional Group Forward expr OneOrMore setName setParseAction enumerate setName Forward setParseAction copy suppress LineEnd Optional Group ignore OneOrMore setName suppress streamline addParseAction staticmethod addCondition setName setParseAction tokenMap __import__ _get_module name setattr delattr tp get stdout pop _print flush isinstance encode decode isinstance __str__ locals format __import__ globals groups adapter_class mount addHandler DEBUG setLevel StreamHandler controller CacheControlAdapter DictCache Session mount add_argument ArgumentParser get cache_response get_args get_session request url cached_request raw setup_logging open remove hasattr O_WRONLY cache_url dirname compile UniversalDetector feed bytearray decode done bytearray close result feed UniversalDetector getfilesystemencoding isatty input description_of compile stdout wrap_stream register stderr init AnsiToWin32 stream should_wrap encode isinstance match compile property __hash__ __hash__ add_distribution matcher get_scheme add_edge DependencyGraph debug key provides run_requires match meta_requires append parse_name_and_version build_requires add_missing dev_requires pop make_graph append append make_graph pop Metadata ServerProxy property S X I compile I compile fget property name format_full_version hasattr version dict parse_marker update items list remove debug append sub replace I compile set isdir staticmethod startswith get __import__ getattr finder_maker type get join finder get_importer type startswith split startswith parse_marker strip lstrip match get_versions append urlparse find pop join rstrip iglob get_rel_path hasattr normcase fsdecode executable input lower eval isinstance split load items read list ConfigParser get_export_entry sections read_stream StringIO items list add_section ConfigParser name write set prefix flags values mkdtemp getcwd getdefaulttimeout setdefaulttimeout remove curdir split pop getattr __import__ split __hash__ groupdict count search ExportEntry split isdir mkdtemp access warning W_OK expanduser expandvars makedirs splitdrive sep replace abspath split umask enumerate replace end search escape group match match groupdict remove add set warning startswith get load debug urlopen info urljoin _get_external_data urljoin getmembers decode endswith extractall len namelist check_path abspath getnames ZipFile open BytesIO len search join std_iglob lstrip normpath walk split dict value_converters int isdigit tuple strip groups match append split set str len join strip lower match sub append split replace lower sub startswith _normalized_key pop get_parts append startswith dict compile _operators is_semver groups join int get_suffixes insert sort groups match startswith append range enumerate Wheel read write path hasattr _samefile stat chmod hasattr st_mode stat S_IMODE chmod hasattr st_mode chflags stat st_flags utime S_IMODE join basename isdir copyfile copymode join basename isdir copystat copyfile join isdir readlink copystat set symlink ignore islink listdir copy_function makedirs join remove S_ISDIR st_mode islink rmdir listdir join _samefile isdir exists rename _basename abspath getgrnam getpwnam get add _get_uid dirname _get_gid info open makedirs spawn join isfile _call_external_zip write close dirname normpath info ZipFile walk makedirs sort curdir chdir getcwd debug func abspath sort items list _check_unpack_options dirname makedirs join read write infolist _ensure_directory filename ZipFile open extractall open endswith items list dict getcwd func _find_unpack_format join isfile set finder find _ensure_cfg_read items has_option tuple remove_section set dict sections sub has_section items list keys items _subst_vars _extend_dict normpath expanduser get_config_vars get get_config_var update int list remove str replace isinstance items tuple strip group match keys compile hasattr get_makefile_filename get_config_h_filename _parse_makefile _safe_realpath get_path dirname executable int readline group match compile get_path join _ensure_cfg_read get join int getcwd _getuserbase search group _safe_realpath abiflags sub normpath _init_non_posix append _init_posix get sorted findall tuple group find set lower match uname open compile get_config_vars print items sorted enumerate _get_default_scheme _print_dict print get_python_version get_config_vars get_paths get_platform encode find int range len insert encode range bytearray sum unpack divmod range append property close open HTMLParser getTreeBuilder HTMLParser getTreeBuilder OrderedDict viewkeys get isSurrogatePair ord isinstance start surrogatePairToCodepoint append enumerate getTreeWalker HTMLSerializer append match normaliseCharList append sorted append enumerate append chr escapeRegexp replace compile read hasattr isinstance property decode isinstance ord list frozenset append Attrs endDocument items list startElementNS endPrefixMapping startPrefixMapping endElementNS characters startDocument AttributesNSImpl property tag property InfosetFilter serializeElement serializeElement TreeBuilder lower isinstance lower TreeWalker append append items sorted concatenateCharacterTokens combining chr bidirectional enumerate get range ord len ord decode isinstance ord intranges_contain check_bidi check_initial_combiner check_nfc check_hyphen_ok enumerate str ulabel check_label encode _punycode decode check_label lower startswith encode ord enumerate decode alabel join isinstance append uts46_remap split ulabel isinstance append uts46_remap split sorted _encode_range append range len _decode_range _encode_range bisect_left open fdopen O_CREAT O_EXCL write close getpid O_WRONLY open remove warn memoryview read warn feed _got_extradata Unpacker _unpack Packer write isinstance isinstance get join serialize Specifier get value isinstance _get_env _eval_op append format releaselevel name format_full_version hasattr version VERBOSE IGNORECASE compile VERBOSE IGNORECASE compile search extend groups append split list insert append max takewhile len join epoch format local post dev Version sub append get split pop tuple lower startswith append _parse_version_parts VERBOSE IGNORECASE compile lower tuple list dropwhile reversed pip_install format getattr get_requires info join Pep517HookCaller mkdir_p list out_dir source_dir build check_build_wheel isfile check_build_sdist error Pep517HookCaller warning pjoin info check exit enable_colourful_output ansi setupterm setFormatter addHandler LogFormatter StreamHandler setLevel _load_pyproject Pep517HookCaller _load_pyproject Pep517HookCaller update copy check_call import_module getattr partition split _build_backend _build_backend append match namelist build_wheel join glob join print dirname copy2 _find_already_built_wheel _build_backend _build_backend read_json pjoin write_json hook makedirs update fromkeys items list globals items list globals clear update __setstate__ get_build_platform match _template getattr isinstance readPlist hasattr append exists split _macosx_vers replace get_platform int match group clear f_globals string_types get_provider parse isinstance evaluate_marker Marker namedtuple MemoizedZipManifests _find_adapter get_importer join _is_egg_path endswith zipimporter EggMetadata resource_listdir has_metadata dist_factory join _is_unpacked_egg _normalize_cached _by_version_descending safe_listdir factory endswith lower any map PY2 basename isdir PathMetadata FileMetadata dirname non_empty_lines list map get _rebuild_mod_path _find_adapter ModuleType handler get_importer load_module append _set_parent_ns __path__ __path__ sorted isinstance _handle_ns setdefault __import__ path acquire_lock append __path__ rpartition get _handle_ns acquire_lock join __path__ _normalize_cached pop join setattr split string_types isinstance strip splitlines compile urlparse startswith list partition filter iter next compile globals warn endswith yield_lines strip iter getmro _always_object type getattr dirname makedirs mkdir split endswith strip yield_lines startswith append open f update ResourceManager run_script update iter_entry_points list locals tuple require add_activation_listener map _build_master path add_entry _declare_state subscribe startswith get decode format replace isinstance _p_toml setdefault error object_pairs_hook append process_value _Source expect_re expect_re int expect_re consume_re group _chr append fail consume expect group pos replace _p_ws consume_re expect group last object_pairs_hook consume fail _p_basicstr_content _p_key _p_ews pos expect consume _p_value append _p_ws _p_key expect_eof _p_ews datetime isinstance match int list _TimeZone group map timedelta float utcoffset format microsecond dump StringIO append ord flush any datetime isinstance pop join format _escape_id isinstance write extend reversed append _format_value setdefault setdefault setdefault str format isinstance to_native_string strip warn encode msg MockRequest extract_cookies MockResponse MockRequest add_cookie_header append clear clear hasattr copy set_cookie update bool startswith set timegm strptime time int RequestsCookieJar create_cookie set_cookie update cookiejar_from_dict isinstance CookieJar python_implementation join python_version _implementation OPENSSL_VERSION_NUMBER get hook hasattr update dict_class to_key_val_list upper items list setattr int replace OpenKey HKEY_CURRENT_USER match I split getproxies_environment items list hasattr tell fileno hasattr len decode format exists isinstance expanduser authenticators urlparse getattr extract join gettempdir ZipFile exists split isinstance items list isinstance append _parse_list_header unquote_header_value _parse_list_header unquote_header_value split value compile warn strip find split get _parse_content_type_header decode len headers get_encoding_from_headers warn int chr split range len split inet_aton int inet_aton get get_proxy address_in_network is_valid_cidr hostname is_ipv4_address port urlparse should_bypass_proxies urlparse append strip split count urlparse urlparse isinstance urlparse _body_position body_seek getattr body encode decode isinstance encode append split list format map warn split match_hostname get_host lower strip encode encode_rfc2231 urandom decode hexlify PY3 iter iteritems isinstance isinstance data str BytesIO text_type isinstance choose_boundary write render_headers iter_field_objects b get items list pop frozenset tuple copy lower _fields keys object itervalues iterkeys setFormatter getLogger addHandler debug StreamHandler Formatter setLevel simplefilter _validate_dependencies_met X509 decode idna_encode value hasattr to_cryptography _Certificate _x509 extend get socket gettimeout from_address recv_into get socket gettimeout string_at send CFStringEncoding len decode POINTER kCFStringEncodingUTF8 value CFStringGetCStringPtr CFStringGetCString c_void_p cast create_string_buffer SecCopyErrorMessageString _cf_string_to_unicode CFRelease SSLError kCFTypeArrayCallBacks CFArrayCreateMutable replace SecCertificateCreateWithData kCFAllocatorDefault _cf_data_from_bytes byref CFArrayAppendValue CFRelease SecCertificateGetTypeID SecIdentityGetTypeID _assert_no_error decode encode len mkdtemp byref b16encode urandom SecKeychainRef SecKeychainCreate CFDataCreate _assert_no_error CFTypeRef CFArrayRef CFRetain kCFAllocatorDefault _is_cert byref cast CFArrayGetCount _is_identity append CFArrayGetValueAtIndex SecItemImport range len _assert_no_error SecIdentityCreateWithCertificate pop CFArrayCreateMutable kCFTypeArrayCallBacks SecIdentityRef kCFAllocatorDefault extend byref CFArrayAppendValue _load_items_from_file chain CFRelease append object BufferedWriter BufferedRWPair BufferedReader DEFAULT_BUFFER_SIZE SocketIO TextIOWrapper join replace escape split append IGNORECASE compile count str ip_address rstrip get ip_address _to_unicode _dnsname_match append getattr socket settimeout getaddrinfo allowed_gai_family bind strip connect _set_socket_options startswith SOCK_STREAM setsockopt AF_UNSPEC AF_INET has_ipv6 socket bind is_appengine_sandbox close AF_INET6 join isinstance decode tell rewind_body get_payload getattr isinstance _method isinstance frozenset bytearray abs zip len get unhexlify lower encode digest len getattr isinstance getattr isinstance set_ciphers SSLContext load_verify_locations warn load_cert_chain create_urllib3_context load_default_certs decode hasattr inet_pton AF_INET6 append find rsplit split_first int split parse_url append partial select _retry_on_intr register poll _retry_on_intr poll _have_working_poll hasattr append max extend function iter_decode set IncrementalEncoder IncrementalDecoder values assert_raises get strip Encoding ascii_lower lookup hasattr _get_encoding _detect_bom startswith _iter_decode_generator next IncrementalDecoder decode iter encode encode driver join copystat copyfile progress_filter ensure_directory walk open chdir getcwd parse_configuration Distribution parse_config_files dirname abspath command_options append getattr format partial target_obj defaultdict _get_option set_options ConfigMetadataHandler parse ConfigOptionsHandler package_dir metadata pop split load read get_frozen_object load_module find_module compile Bytecode arg index opcode remove append newer_group range len warn StrictVersion getattr _read_field message_from_file StrictVersion _read_list split write_field get_long_description get_obsoletes get_description get_version str list rfc822_escape hasattr long_description_content_type download_url get_contact_email get_url get_keywords _write_list getattr python_requires PY2 get_provides get_name get_contact get_requires get_metadata_version get_platforms provides_extras items join get_classifiers get_license parse rpartition assert_string_list warn items list starmap list parse_requirements partition list parse_requirements isinstance SpecifierSet parse_map iter items list isinstance warn build_ext next _iglob lexists isdir has_magic glob1 glob2 glob_in_dir encode listdir curdir isinstance join lexists isdir _rlistdir curdir isinstance encode listdir search isinstance isinstance splitdrive sub isinstance read replace exec dict getattr compile next Extension Distribution Command _patch_distribution_metadata findall patch_for_msvc_specialized_compiler DistributionMetadata setattr getattr dist setattr getattr setdefault patch_func import_module partial join get_value isfile get_unpatched format lower get endswith lower startswith urlparse unquote split egg_info_for_url group distros_for_location match interpret_distro_name endswith parse_bdist_wininst Wheel len range split filterfalse seen_add __contains__ add set key strip search map groups set find finditer split compile group encode b64encode unquote decode str _splituser endswith url urlunparse Request opener _encode_auth add_header info find_credential urlparse rpartition join format isdir url2pathname isfile append listdir urlparse StringIO map join get_suffixes exec compile tempdir makedirs chdir getcwd update resume _clear_modules copy list __getstate__ join compile list _clear_modules filter modules dirname abspath _mk_single_path_wrapper hasattr _mk_query _mk_single_with_return _mk_dual_path_wrapper fromkeys lstrip get makepath insert len dict path getattr dirname pathsep load_module append find_module addsitedir split CertFile addstore list filter isfile decode text_type isinstance encode normalize text_type isinstance readline seek match join list relpath reversed renames rmdir walk enumerate SetFileAttributesW SetFileAttributes __import__ BOOL setup_requires Distribution dict fetch_build_eggs parse_config_files _install_setup_requires __doc__ list partial relpath map _find_all_simple boolean_options user_options endswith sort walk lstrip remove next sorted_walk join list items walk_egg exists join list items close write unlink exists open load join read replace fromkeys close warn iter_symbols PY2 sep open string_types isinstance co_consts co_names warn close sorted_walk visit mkpath dirname info ZipFile customize_compiler copy link SHARED_LIBRARY filterfalse seen_add __contains__ add set key lstrip boolean_options user_options normpath text_type USER_SITE lstrip dict dedent append ENABLE_USER_SITE pathsep split get join list getsitepackages exec_prefix extend map USER_SITE append _pythonpath ENABLE_USER_SITE join list rstrip normalize_path close yield_lines listdir open decode read seek RawConfigParser readfp unpack _EndRecData getfilesystemencoding StringIO open decode read replace endswith insert sort infolist yield_lines reverse PY3 filename append ZipFile split _one_liner isinstance pattern reraise exc_info chmod S_IWRITE _remove_and_clear_zip_directory_cache_data normalize_path path_importer_cache _uncache _replace_zip_directory_cache_data append normalize_path len _collect_zipimporter_cache_entries _update_zipimporter_cache _update_zipimporter_cache _zip_directory_cache compile is_python startswith debug _chmod dict dict lstrip replace is_64bit resource_string PY2 append main dirname lstrip gen_usage escape split sep enumerate len property encode join egg_info distribution write_safety_flag metadata getattr info exists warn list yield_lines writelines map sorted _write_requirements format distribution install_requires write getvalue write_or_delete_file StringIO _write_requirements setup_requires getvalue write_or_delete_file StringIO join sorted write_file fromkeys write_arg distribution join write_or_delete_file getattr join parse_group sorted list items map entry_points append write_or_delete_file values exists warn boolean_options user_options dict __doc__ iter_entry_points tuple items read list RawConfigParser add_section debug remove_section remove_option set info boolean_options user_options boolean_options append specs getattr join sorted parse extras requires_to_requires_dist items list convert_requirements safe_extra split join sorted dedent_description exists set_payload generate_requirements split_sections replace_header read_pkg_info decode lower raw_items pkginfo_unicode join splitlines decode python_implementation format warn get_abbr_impl get_abi_tag get_all_suffixes get_platform isinstance len isinstance isinstance get int sha256 dirname join basename groupdict replace format egg2dist mkdtemp Distribution bdist_wheel rmtree match _bdist_wheel_tag isfile write_wheelfile copy2 listdir copytree replace partition search group rpartition join replace egg2dist Distribution bdist_wheel rmtree write_wheelfile _bdist_wheel_tag format iglob print conv require_pkgresources flush join sorted format print group print wheelfile unpack dest pack dest_dir directory dest_dir convert verbose files print add_argument add_parser ArgumentParser set_defaults add_subparsers parser print_help func | # CodeGen Generate Codes using Sequence GAN Reference Papers: SeqGAN : https://arxiv.org/abs/1609.05473 LeakGAN : https://arxiv.org/abs/1709.08624 | 3,479 |
rutrastone/MGAD | ['word embeddings', 'part of speech tagging', 'machine translation'] | ['MGAD: Multilingual Generation of Analogy Datasets'] | extract.py check_tags build_deriv append | # MGAD: Multilingual Generation of Analogy Datasets _Submitted to LREC2018_ ### Description We present a novel, minimally supervised method of generating word embedding evaluation datasets for a large number of languages. Our approach utilizes existing dependency treebanks and parsers in order to create language-specific syntactic analogy datasets that do not rely on translation or human annotation. As part of our work, we offer syntactic analogy datasets for three previously unexplored languages: Arabic, Hindi, and Russian. **These can be found in the `data/` subdirectory.** ### Usage Prior to running `extract.py`, it is recommended that a feature template for generating synactic analogies be provided in-file. The following is a sample template written for Hindi: ``` NOUN|Number=Plur|Case=Nom NOUN|Number=Sing|Case=Nom VERB|Aspect=Perf|Gender=Masc|Number=Sing|VerbForm=Part VERB|Case=Nom|VerbForm=Inf ``` | 3,480 |
rwaithaka/testdrive2 | ['data augmentation'] | ['DENSER: Deep Evolutionary Network Structured Representation'] | utils/helper.py configs.py benchmark/convnet.py app.py benchmark/runner.py utils/argparser.py utils/mnist_reader.py visualization/project_zalando.py start_s3_sync get_json_logger touch touch_dir _get_logger main cnn_model_fn PredictJob JobWorker JobManager get_args_request parse_arg get_args_cli now_int upload_result_s3 get_sprite_image invert_grayscale create_sprite_image vector_to_matrix_mnist UploadS3Thread load_mnist UploadS3Thread start Event dirname makedirs makedirs setFormatter touch_dir DEBUG getLogger addHandler StreamHandler Formatter touch setLevel INFO FileHandler setFormatter getLogger addHandler Formatter touch setLevel INFO FileHandler dense max_pooling2d dropout one_hot minimize reshape GradientDescentOptimizer conv2d softmax_cross_entropy asarray evaluate print Estimator shuffle labels images numpy_input_fn train range read_data_sets int append items list defaultdict utcfromtimestamp info int isinstance ones sqrt ceil array range vector_to_matrix_mnist invert_grayscale join | # Fashion-MNIST [](https://github.com/zalandoresearch/fashion-mnist/) [](https://gitter.im/fashion-mnist/Lobby?utm_source=share-link&utm_medium=link&utm_campaign=share-link) [](README.zh-CN.md) [](README.ja.md) [](https://opensource.org/licenses/MIT) [](https://hanxiao.github.io/2018/09/28/Fashion-MNIST-Year-In-Review/) <details><summary>Table of Contents</summary><p> * [Why we made Fashion-MNIST](#why-we-made-fashion-mnist) * [Get the Data](#get-the-data) | 3,481 |
ryan-wolbeck/ngboost-tuner | ['weather forecasting'] | ['NGBoost: Natural Gradient Boosting for Probabilistic Prediction'] | ngboost_tuner/cli.py ngboost_tuner/__main__.py setup.py ngboost_tuner/tune.py ngboost_tuner/log.py build_cli input_file is_gz_file new_logger run main error exit is_gz_file add_argument add_parser ArgumentParser set_defaults add_subparsers setFormatter getLogger addHandler StreamHandler Formatter gmtime DEBUG setLevel INFO LGBMRegressor target column mean_absolute_error train_file values open exit read_csv input expanduser train_test_split predict update dump format median_absolute_error space_eval copy mkdir unique info sample lightgbm mae_loss remove mean_squared_error Series fit index Trials test_file validation_file drop build_cli print_help cmd func new_logger parse_args | # ngboost-tuner A CLI Tuner of NGBoost ## Install ``` pip install ngboost-tuner ``` Build from source ```bash # Pull the code git clone [email protected]:ryan-wolbeck/ngboost-tuner.git | 3,482 |
ryanhoque/fabric-vsf | ['video prediction'] | ['VisuoSpatial Foresight for Multi-Step, Multi-Task Fabric Manipulation'] | vismpc/t2t/build/lib/tensor2tensor/data_generators/conll_ner.py vismpc/t2t/tensor2tensor/data_generators/wikisum/wikisum.py vismpc/t2t/tensor2tensor/trax/layers/base_test.py vismpc/t2t/build/lib/tensor2tensor/data_generators/celebahq.py vismpc/t2t/build/lib/tensor2tensor/trax/inputs_test.py gym_cloth/envs/__init__.py render/ext/nanogui/ext/pybind11/tools/clang/enumerations.py render/ext/nanogui/python/example1.py vismpc/t2t/build/lib/tensor2tensor/data_generators/scitail.py vismpc/t2t/tensor2tensor/trax/models/neural_gpu.py vismpc/t2t/build/lib/tensor2tensor/data_generators/gene_expression_test.py vismpc/t2t/build/lib/tensor2tensor/models/video/epva.py vismpc/t2t/tensor2tensor/trax/layers/combinators_test.py vismpc/t2t/build/lib/tensor2tensor/trax/backend.py vismpc/t2t/build/lib/tensor2tensor/utils/sari_hook_test.py vismpc/t2t/build/lib/tensor2tensor/data_generators/audio_encoder.py vismpc/t2t/build/lib/tensor2tensor/data_generators/subject_verb_agreement.py vismpc/t2t/build/lib/tensor2tensor/rl/envs/in_graph_batch_env.py vismpc/t2t/tensor2tensor/data_generators/celebahq.py vismpc/t2t/build/lib/tensor2tensor/utils/metrics_hook_test.py vismpc/t2t/tensor2tensor/layers/ngram.py vismpc/t2t/build/lib/tensor2tensor/models/text_cnn.py vismpc/t2t/tensor2tensor/data_generators/babi_qa.py vismpc/t2t/tensor2tensor/data_generators/wikisum/get_references_web.py vismpc/t2t/build/lib/tensor2tensor/utils/data_reader.py vismpc/t2t/tensor2tensor/problems.py vismpc/t2t/build/lib/tensor2tensor/data_generators/dna_encoder.py vismpc/t2t/tensor2tensor/data_generators/translate_enro.py vismpc/t2t/build/lib/tensor2tensor/layers/ngram_test.py vismpc/t2t/build/lib/tensor2tensor/data_generators/algorithmic_math.py vismpc/t2t/build/lib/tensor2tensor/models/video/sv2p_params.py vismpc/t2t/tensor2tensor/data_generators/lambada.py vismpc/t2t/tensor2tensor/rl/trainer_model_based_sv2p_test.py vismpc/t2t/build/lib/tensor2tensor/utils/quantization.py vismpc/t2t/tensor2tensor/models/video/__init__.py vismpc/t2t/tensor2tensor/data_generators/image_lsun.py vismpc/t2t/build/lib/tensor2tensor/data_generators/tokenizer.py vismpc/t2t/build/lib/tensor2tensor/bin/t2t_avg_all.py vismpc/t2t/tensor2tensor/envs/gym_spaces_utils_test.py vismpc/t2t/tensor2tensor/data_generators/multi_problem_v2_test.py render/ext/nanogui/ext/pybind11/tests/test_enum.py vismpc/t2t/build/lib/tensor2tensor/data_generators/celeba_test.py vismpc/t2t/build/lib/tensor2tensor/data_generators/wikisum/get_references_web_single_group.py vismpc/t2t/build/lib/tensor2tensor/trax/layers/base_test.py render/ext/nanogui/ext/eigen/debug/gdb/__init__.py vismpc/t2t/tensor2tensor/models/mtf_resnet.py vismpc/t2t/build/lib/tensor2tensor/layers/ngram.py vismpc/t2t/build/lib/tensor2tensor/data_generators/audio_test.py vismpc/t2t/tensor2tensor/bin/t2t_trainer.py vismpc/t2t/tensor2tensor/models/research/universal_transformer.py vismpc/t2t/build/lib/tensor2tensor/models/neural_architecture_search/nas_layers.py vismpc/t2t/tensor2tensor/data_generators/text_encoder_build_subword.py vismpc/t2t/tensor2tensor/models/neural_architecture_search/nas_model.py render/ext/nanogui/ext/pybind11/tests/test_eigen.py vismpc/t2t/build/lib/tensor2tensor/data_generators/problem.py render/ext/nanogui/ext/pybind11/tests/test_sequences_and_iterators.py vismpc/t2t/build/lib/tensor2tensor/data_generators/image_utils_test.py vismpc/t2t/build/lib/tensor2tensor/data_generators/common_voice_test.py vismpc/t2t/build/lib/tensor2tensor/trax/inputs.py vismpc/t2t/tensor2tensor/data_generators/wiki_multi_problems.py vismpc/t2t/tensor2tensor/rl/envs/in_graph_batch_env.py vismpc/t2t/build/lib/tensor2tensor/models/research/glow_test.py vismpc/t2t/build/lib/tensor2tensor/rl/batch_dqn_agent_test.py vismpc/t2t/build/lib/tensor2tensor/trax/models/resnet.py vismpc/t2t/tensor2tensor/data_generators/wnli.py vismpc/t2t/build/lib/tensor2tensor/data_generators/wiki_revision.py vismpc/t2t/build/lib/tensor2tensor/data_generators/translate_ende.py vismpc/t2t/build/lib/tensor2tensor/data_generators/cipher.py vismpc/t2t/build/lib/tensor2tensor/data_generators/yelp_polarity.py vismpc/t2t/build/lib/tensor2tensor/models/research/vqa_attention_test.py render/ext/nanogui/docs/exhale.py vismpc/t2t/build/lib/tensor2tensor/trax/layers/convolution_test.py vismpc/t2t/tensor2tensor/envs/rendered_env_problem_test.py vismpc/t2t/build/lib/tensor2tensor/bin/t2t_decoder.py vismpc/t2t/tensor2tensor/models/video/emily.py render/ext/nanogui/ext/pybind11/tests/test_methods_and_attributes.py vismpc/t2t/build/lib/tensor2tensor/data_generators/saved_visual_foresight.py vismpc/t2t/tensor2tensor/layers/modalities.py vismpc/t2t/tensor2tensor/trax/layers/convolution_test.py vismpc/t2t/build/lib/tensor2tensor/data_generators/translate_enfr.py vismpc/t2t/build/lib/tensor2tensor/serving/serving_utils.py vismpc/t2t/build/lib/tensor2tensor/utils/optimize_test.py vismpc/t2t/tensor2tensor/trax/learning_rate.py render/ext/nanogui/ext/pybind11/pybind11/__init__.py vismpc/t2t/build/lib/tensor2tensor/data_generators/vqa.py vismpc/t2t/build/lib/tensor2tensor/bin/t2t_datagen.py vismpc/t2t/build/lib/tensor2tensor/layers/area_attention_test.py vismpc/t2t/tensor2tensor/models/transformer_test.py vismpc/t2t/tensor2tensor/models/research/transformer_vae_test.py vismpc/t2t/tensor2tensor/keras/regularizers.py vismpc/t2t/build/lib/tensor2tensor/data_generators/sst_binary.py vismpc/t2t/build/lib/tensor2tensor/rl/restarter_test.py vismpc/t2t/tensor2tensor/data_generators/imagenet_test.py vismpc/t2t/tensor2tensor/models/video/nfg_uncond_test.py vismpc/t2t/build/lib/tensor2tensor/data_generators/imdb.py vismpc/t2t/build/lib/tensor2tensor/trax/rlax/envs/online_tune_env_test.py vismpc/t2t/tensor2tensor/envs/env_problem_utils_test.py vismpc/t2t/tensor2tensor/data_generators/wiki_revision.py vismpc/t2t/build/lib/tensor2tensor/utils/compute_video_metrics.py vismpc/t2t/build/lib/tensor2tensor/data_generators/tokenizer_test.py vismpc/t2t/tensor2tensor/bin/t2t_trainer_test.py render/ext/nanogui/ext/pybind11/tests/test_class_args.py vismpc/t2t/tensor2tensor/keras/__init__.py vismpc/t2t/tensor2tensor/data_generators/wikisum/get_references_web_single_group.py vismpc/t2t/build/lib/tensor2tensor/layers/gaussian_process_test.py vismpc/t2t/tensor2tensor/rl/trainer_model_based_recurrent_test.py vismpc/t2t/tensor2tensor/trax/models/research/position_lookup_transformer.py vismpc/t2t/tensor2tensor/data_generators/wsj_parsing.py vismpc/t2t/tensor2tensor/layers/common_audio.py vismpc/t2t/tensor2tensor/data_generators/allen_brain.py vismpc/t2t/tensor2tensor/data_generators/translate_envi.py vismpc/t2t/tensor2tensor/data_generators/quora_qpairs.py vismpc/t2t/tensor2tensor/serving/query.py render/ext/nanogui/python/example2.py render/ext/nanogui/python/example4.py vismpc/t2t/build/lib/tensor2tensor/data_generators/fsns.py vismpc/t2t/build/lib/tensor2tensor/data_generators/cola.py vismpc/t2t/tensor2tensor/layers/bayes.py vismpc/t2t/tensor2tensor/models/image_transformer_test.py vismpc/t2t/build/lib/tensor2tensor/models/video/nfg_conv_test.py render/ext/nanogui/ext/eigen/debug/gdb/printers.py vismpc/t2t/build/lib/tensor2tensor/data_generators/mnist.py vismpc/t2t/tensor2tensor/models/neural_gpu_test.py vismpc/t2t/tensor2tensor/models/video/next_frame_glow.py vismpc/t2t/build/lib/tensor2tensor/models/research/__init__.py vismpc/t2t/tensor2tensor/data_generators/bair_robot_pushing.py vismpc/t2t/build/lib/tensor2tensor/layers/__init__.py vismpc/t2t/build/lib/tensor2tensor/trax/learning_rate.py vismpc/t2t/tensor2tensor/insights/server.py vismpc/t2t/tensor2tensor/models/mtf_image_transformer.py vismpc/t2t/build/lib/tensor2tensor/data_generators/stanford_nli.py vismpc/t2t/build/lib/tensor2tensor/envs/mujoco_problems_test.py vismpc/t2t/build/lib/tensor2tensor/data_generators/program_search.py vismpc/t2t/tensor2tensor/data_generators/wiki_revision_utils.py vismpc/t2t/build/lib/tensor2tensor/models/research/neural_stack.py vismpc/t2t/tensor2tensor/layers/transformer_memory.py vismpc/t2t/build/lib/tensor2tensor/utils/mtf_model.py vismpc/t2t/tensor2tensor/models/transformer.py vismpc/t2t/build/lib/tensor2tensor/data_generators/cleaner_en_xx.py vismpc/t2t/build/lib/tensor2tensor/trax/models/atari_cnn_test.py vismpc/t2t/build/lib/tensor2tensor/models/evolved_transformer_test.py vismpc/t2t/tensor2tensor/models/neural_architecture_search/__init__.py vismpc/t2t/tensor2tensor/rl/trainer_model_based_test.py vismpc/t2t/tensor2tensor/trax/rlax/ppo_main.py vismpc/t2t/build/lib/tensor2tensor/data_generators/translate_test.py vismpc/t2t/tensor2tensor/bin/t2t_eval.py vismpc/t2t/build/lib/tensor2tensor/data_generators/translate_enmk.py vismpc/t2t/tensor2tensor/trax/layers/normalization.py vismpc/t2t/build/lib/tensor2tensor/models/distillation.py vismpc/t2t/tensor2tensor/trax/trax_test.py vismpc/t2t/tensor2tensor/models/mtf_image_transformer_test.py vismpc/t2t/build/lib/tensor2tensor/trax/layers/pooling_test.py vismpc/t2t/build/lib/tensor2tensor/layers/common_attention_test.py vismpc/t2t/tensor2tensor/data_generators/all_problems.py vismpc/t2t/build/lib/tensor2tensor/utils/rouge_test.py vismpc/t2t/tensor2tensor/data_generators/subject_verb_agreement.py vismpc/t2t/build/lib/tensor2tensor/models/vanilla_gan.py vismpc/t2t/build/lib/tensor2tensor/keras/regularizers_test.py vismpc/t2t/tensor2tensor/data_generators/squad.py vismpc/t2t/tensor2tensor/data_generators/timeseries_test.py vismpc/t2t/tensor2tensor/trax/rlax/ppo_training_loop_test.py vismpc/t2t/build/lib/tensor2tensor/models/video/sv2p.py vismpc/t2t/build/lib/tensor2tensor/utils/checkpoint_compatibility_test.py vismpc/t2t/tensor2tensor/data_generators/image_utils_test.py vismpc/t2t/build/lib/tensor2tensor/trax/layers/normalization_test.py vismpc/t2t/tensor2tensor/rl/player_utils.py vismpc/t2t/build/lib/tensor2tensor/data_generators/__init__.py vismpc/t2t/tensor2tensor/models/research/neural_stack_test.py vismpc/t2t/build/lib/tensor2tensor/rl/trainer_model_based_test.py vismpc/t2t/tensor2tensor/models/research/attention_lm.py vismpc/t2t/tensor2tensor/data_generators/timeseries_data_generator_test.py vismpc/t2t/tensor2tensor/metrics/__init__.py vismpc/t2t/tensor2tensor/models/video/basic_deterministic_params.py render/ext/nanogui/ext/pybind11/tests/test_numpy_dtypes.py vismpc/t2t/tensor2tensor/models/research/glow_init_hook.py vismpc/t2t/tensor2tensor/models/research/vqa_self_attention.py vismpc/t2t/build/lib/tensor2tensor/models/research/universal_transformer_util.py vismpc/t2t/build/lib/tensor2tensor/data_generators/video_utils.py vismpc/t2t/tensor2tensor/data_generators/vqa_utils.py vismpc/t2t/build/lib/tensor2tensor/trax/models/mlp_test.py vismpc/t2t/build/lib/tensor2tensor/models/image_transformer_2d_test.py vismpc/t2t/tensor2tensor/problems_colab.py vismpc/t2t/tensor2tensor/data_generators/translate_encs.py vismpc/t2t/build/lib/tensor2tensor/trax/rlax/simulated_env_problem.py vismpc/t2t/build/lib/tensor2tensor/models/research/vqa_attention.py vismpc/t2t/tensor2tensor/trax/backend.py vismpc/t2t/build/lib/tensor2tensor/data_generators/wikisum/generate_vocab.py vismpc/t2t/tensor2tensor/data_generators/qnli.py vismpc/t2t/build/lib/tensor2tensor/models/resnet_test.py vismpc/t2t/tensor2tensor/bin/build_vocab.py vismpc/t2t/tensor2tensor/models/research/similarity_transformer.py vismpc/t2t/build/lib/tensor2tensor/models/xception.py vismpc/t2t/build/lib/tensor2tensor/trax/optimizers/base.py vismpc/t2t/build/lib/tensor2tensor/data_generators/wikisum/html.py vismpc/t2t/tensor2tensor/envs/tic_tac_toe_env.py vismpc/t2t/tensor2tensor/layers/latent_layers.py vismpc/t2t/build/lib/tensor2tensor/models/research/transformer_sketch.py vismpc/t2t/build/lib/tensor2tensor/data_generators/lm1b_imdb.py vismpc/t2t/build/lib/tensor2tensor/data_generators/text_encoder_build_subword.py vismpc/t2t/build/lib/tensor2tensor/models/video/nfg_interpolate.py vismpc/t2t/build/lib/tensor2tensor/data_generators/translate_enzh.py vismpc/t2t/build/lib/tensor2tensor/utils/trainer_lib_test.py vismpc/t2t/tensor2tensor/models/video/basic_deterministic_test.py vismpc/t2t/tensor2tensor/envs/gym_spaces_utils.py vismpc/t2t/tensor2tensor/layers/common_video_test.py vismpc/t2t/build/lib/tensor2tensor/utils/mlperf_log.py vismpc/t2t/build/lib/tensor2tensor/utils/metrics_hook.py vismpc/t2t/tensor2tensor/data_generators/wikisum/validate_data.py vismpc/t2t/tensor2tensor/trax/models/resnet_test.py vismpc/t2t/tensor2tensor/models/revnet.py vismpc/t2t/tensor2tensor/data_generators/audio.py vismpc/t2t/build/lib/tensor2tensor/data_generators/wnli.py vismpc/t2t/tensor2tensor/models/slicenet_test.py vismpc/t2t/tensor2tensor/serving/export.py vismpc/t2t/build/lib/tensor2tensor/envs/env_problem_utils.py vismpc/t2t/build/lib/tensor2tensor/trax/rlax/ppo_training_loop_test.py vismpc/t2t/build/lib/tensor2tensor/utils/video_metrics_test.py vismpc/t2t/build/lib/tensor2tensor/trax/trax_test.py vismpc/t2t/tensor2tensor/layers/common_attention_test.py vismpc/t2t/tensor2tensor/data_generators/imagenet.py vismpc/t2t/build/lib/tensor2tensor/trax/rlax/ppo_test.py vismpc/t2t/tensor2tensor/data_generators/algorithmic_math_deepmind.py vismpc/t2t/tensor2tensor/layers/message_passing_attention.py vismpc/t2t/tensor2tensor/models/video/base_vae.py analysis/combine_demo_data.py vismpc/t2t/build/lib/tensor2tensor/models/mtf_transformer_test.py vismpc/t2t/tensor2tensor/data_generators/celeba_test.py vismpc/t2t/tensor2tensor/data_generators/transduction_problems_test.py vismpc/t2t/tensor2tensor/envs/gym_env_problem.py render/ext/nanogui/ext/pybind11/tools/mkdoc.py vismpc/t2t/build/lib/tensor2tensor/visualization/visualization_test.py vismpc/t2t/tensor2tensor/trax/layers/pooling_test.py gym_cloth/envs/cloth_env.py vismpc/t2t/tensor2tensor/data_generators/celeba.py analysis/check_demo_data.py vismpc/t2t/build/lib/tensor2tensor/data_generators/cnn_dailymail.py vismpc/t2t/tensor2tensor/models/research/glow_ops_test.py vismpc/t2t/build/lib/tensor2tensor/models/research/similarity_transformer.py vismpc/t2t/tensor2tensor/bin/t2t_attack.py vismpc/t2t/tensor2tensor/trax/models/mlp_test.py render/ext/nanogui/ext/pybind11/tests/test_modules.py vismpc/t2t/build/lib/tensor2tensor/layers/common_video.py vismpc/t2t/build/lib/tensor2tensor/models/video/base_vae.py vismpc/t2t/build/lib/tensor2tensor/utils/hparam_test.py vismpc/t2t/tensor2tensor/data_generators/translate_entn.py vismpc/t2t/tensor2tensor/layers/common_hparams.py vismpc/t2t/tensor2tensor/data_generators/translate_enfr.py vismpc/t2t/tensor2tensor/trax/layers/convolution.py render/ext/nanogui/ext/pybind11/tests/test_eval_call.py vismpc/t2t/tensor2tensor/trax/inputs.py vismpc/t2t/tensor2tensor/rl/evaluator_test.py vismpc/t2t/build/lib/tensor2tensor/data_generators/wikisum/get_references_commoncrawl.py vismpc/t2t/build/lib/tensor2tensor/data_generators/inspect_tfrecord.py vismpc/t2t/build/lib/tensor2tensor/trax/layers/core.py vismpc/t2t/build/lib/tensor2tensor/trax/models/neural_gpu.py vismpc/t2t/tensor2tensor/data_generators/ptb.py vismpc/t2t/tensor2tensor/trax/models/transformer.py vismpc/t2t/tensor2tensor/data_generators/saved_visual_foresight.py vismpc/t2t/build/lib/tensor2tensor/data_generators/rte.py vismpc/t2t/build/lib/tensor2tensor/data_generators/babi_qa.py vismpc/t2t/build/lib/tensor2tensor/insights/query_processor.py vismpc/t2t/build/lib/tensor2tensor/trax/models/mlp.py vismpc/t2t/build/lib/tensor2tensor/utils/registry_test.py vismpc/t2t/build/lib/tensor2tensor/data_generators/generator_utils.py vismpc/t2t/tensor2tensor/data_generators/wikisum/utils.py vismpc/t2t/build/lib/tensor2tensor/models/research/transformer_aux.py vismpc/t2t/build/lib/tensor2tensor/trax/layers/pooling.py vismpc/t2t/tensor2tensor/models/text_cnn.py vismpc/t2t/build/lib/tensor2tensor/utils/learning_rate.py vismpc/t2t/build/lib/tensor2tensor/metrics/__init__.py vismpc/t2t/tensor2tensor/data_generators/multi_problem.py vismpc/t2t/build/lib/tensor2tensor/layers/reversible_layers.py vismpc/t2t/tensor2tensor/data_generators/cifar.py vismpc/t2t/tensor2tensor/rl/trainer_model_based_agent_only.py vismpc/t2t/tensor2tensor/layers/gaussian_process_test.py vismpc/t2t/tensor2tensor/models/research/rl.py vismpc/t2t/build/lib/tensor2tensor/models/research/transformer_vae_test.py vismpc/t2t/tensor2tensor/layers/modalities_test.py vismpc/t2t/tensor2tensor/trax/rlax/ppo.py vismpc/t2t/build/lib/tensor2tensor/visualization/visualization.py vismpc/t2t/build/lib/tensor2tensor/data_generators/wikisum/get_references_web.py vismpc/t2t/tensor2tensor/data_generators/translate.py vismpc/t2t/build/lib/tensor2tensor/bin/t2t_prune.py vismpc/t2t/build/lib/tensor2tensor/data_generators/desc2code_test.py vismpc/t2t/build/lib/tensor2tensor/utils/test_utils_test.py vismpc/t2t/tensor2tensor/layers/discretization.py vismpc/t2t/tensor2tensor/data_generators/gene_expression_test.py vismpc/t2t/build/lib/tensor2tensor/data_generators/multi_problem_v2.py vismpc/t2t/build/lib/tensor2tensor/rl/gym_utils.py vismpc/t2t/build/lib/tensor2tensor/envs/time_step_test.py vismpc/t2t/build/lib/tensor2tensor/data_generators/gym_env.py vismpc/t2t/build/lib/tensor2tensor/rl/trainer_model_based_recurrent_test.py vismpc/t2t/tensor2tensor/rl/player.py vismpc/t2t/build/lib/tensor2tensor/problems_colab.py vismpc/t2t/build/lib/tensor2tensor/utils/video_metrics.py vismpc/t2t/tensor2tensor/trax/rlax/ppo_test.py render/ext/nanogui/ext/pybind11/docs/conf.py vismpc/t2t/tensor2tensor/trax/layers/combinators.py vismpc/t2t/tensor2tensor/models/evolved_transformer.py render/ext/nanogui/ext/pybind11/tests/test_python_types.py vismpc/t2t/build/lib/tensor2tensor/envs/gym_spaces_utils.py vismpc/t2t/build/lib/tensor2tensor/envs/__init__.py vismpc/t2t/tensor2tensor/data_generators/dna_encoder.py vismpc/t2t/tensor2tensor/data_generators/program_search_test.py vismpc/t2t/tensor2tensor/insights/graph.py vismpc/t2t/tensor2tensor/rl/envs/simulated_batch_env.py vismpc/t2t/tensor2tensor/data_generators/multinli.py vismpc/t2t/tensor2tensor/rl/policy_learner.py vismpc/t2t/build/lib/tensor2tensor/trax/models/transformer.py vismpc/t2t/build/lib/tensor2tensor/data_generators/problem_hparams.py vismpc/t2t/build/lib/tensor2tensor/trax/trainer.py vismpc/t2t/build/lib/tensor2tensor/models/lstm.py vismpc/t2t/build/lib/tensor2tensor/models/video/savp_params.py vismpc/t2t/tensor2tensor/models/research/adafactor_experiments.py vismpc/t2t/build/lib/tensor2tensor/data_generators/video_utils_test.py vismpc/mpc.py vismpc/t2t/tensor2tensor/data_generators/text_problems_test.py vismpc/t2t/tensor2tensor/data_generators/transduction_problems.py vismpc/t2t/build/lib/tensor2tensor/rl/rl_utils.py vismpc/t2t/build/lib/tensor2tensor/data_generators/allen_brain.py vismpc/t2t/tensor2tensor/data_generators/video_utils.py examples/env_init.py vismpc/t2t/tensor2tensor/models/xception_test.py vismpc/t2t/build/lib/tensor2tensor/insights/graph.py vismpc/t2t/build/lib/tensor2tensor/utils/pruning_utils.py vismpc/t2t/tensor2tensor/rl/envs/__init__.py vismpc/t2t/build/lib/tensor2tensor/rl/player_utils.py vismpc/t2t/build/lib/tensor2tensor/data_generators/image_lsun.py vismpc/t2t/build/lib/tensor2tensor/envs/env_problem.py vismpc/t2t/build/lib/tensor2tensor/layers/gaussian_process.py vismpc/scripts/predict.py vismpc/t2t/build/lib/tensor2tensor/models/video/basic_deterministic_test.py vismpc/t2t/tensor2tensor/trax/layers/initializers_test.py vismpc/t2t/tensor2tensor/models/research/__init__.py vismpc/t2t/tensor2tensor/rl/restarter_test.py render/ext/nanogui/ext/pybind11/docs/benchmark.py vismpc/t2t/tensor2tensor/models/video/sv2p_params.py vismpc/t2t/tensor2tensor/models/research/lm_experiments.py vismpc/t2t/tensor2tensor/insights/query_processor.py vismpc/t2t/build/lib/tensor2tensor/data_generators/gene_expression.py vismpc/t2t/build/lib/tensor2tensor/trax/layers/__init__.py vismpc/visualize.py examples/demo_spaces.py vismpc/t2t/build/lib/tensor2tensor/trax/rlax/ppo_main.py vismpc/t2t/tensor2tensor/data_generators/ocr.py vismpc/t2t/build/lib/tensor2tensor/bin/t2t_translate_all.py vismpc/t2t/tensor2tensor/rl/__init__.py vismpc/t2t/tensor2tensor/trax/models/__init__.py vismpc/t2t/build/lib/tensor2tensor/rl/trainer_model_free.py vismpc/t2t/build/lib/tensor2tensor/utils/flags.py vismpc/t2t/build/lib/tensor2tensor/data_generators/translate_encs.py vismpc/t2t/build/lib/tensor2tensor/utils/rouge.py vismpc/t2t/tensor2tensor/models/__init__.py vismpc/t2t/build/lib/tensor2tensor/trax/models/resnet_test.py vismpc/t2t/tensor2tensor/data_generators/text_encoder.py vismpc/t2t/build/lib/tensor2tensor/data_generators/text_problems.py vismpc/dqn/dqn.py vismpc/t2t/build/lib/tensor2tensor/data_generators/translate_enet.py vismpc/t2t/build/lib/tensor2tensor/trax/layers/attention.py render/ext/nanogui/ext/pybind11/tests/test_cmake_build/test.py vismpc/t2t/tensor2tensor/trax/layers/core_test.py vismpc/t2t/tensor2tensor/test_data/example_usr_dir/my_submodule.py vismpc/t2t/build/lib/tensor2tensor/models/research/moe.py vismpc/t2t/build/lib/tensor2tensor/utils/diet.py vismpc/t2t/tensor2tensor/bin/t2t_bleu.py vismpc/t2t/tensor2tensor/data_generators/wikisum/html.py vismpc/t2t/tensor2tensor/data_generators/yelp_polarity.py vismpc/t2t/tensor2tensor/envs/tic_tac_toe_env_test.py vismpc/t2t/tensor2tensor/models/video/nfg_conv_test.py vismpc/t2t/tensor2tensor/rl/trainer_model_based.py vismpc/t2t/tensor2tensor/trax/models/mlp.py render/ext/nanogui/ext/pybind11/tests/test_issues.py vismpc/t2t/build/lib/tensor2tensor/utils/multistep_optimizer_test.py vismpc/t2t/build/lib/tensor2tensor/trax/jaxboard.py vismpc/t2t/tensor2tensor/layers/__init__.py vismpc/t2t/build/lib/tensor2tensor/models/research/rl.py vismpc/t2t/tensor2tensor/models/basic.py vismpc/t2t/tensor2tensor/trax/layers/rnn.py examples/demo_bed.py render/ext/nanogui/ext/pybind11/tests/test_keep_alive.py vismpc/t2t/tensor2tensor/models/bytenet.py vismpc/t2t/tensor2tensor/trax/layers/initializers.py vismpc/t2t/build/lib/tensor2tensor/trax/layers/rnn.py vismpc/t2t/tensor2tensor/trax/models/atari_cnn_test.py vismpc/t2t/tensor2tensor/data_generators/wikisum/generate_vocab.py vismpc/t2t/build/lib/tensor2tensor/trax/history.py vismpc/t2t/tensor2tensor/trax/history.py vismpc/t2t/build/lib/tensor2tensor/models/transformer_test.py vismpc/t2t/tensor2tensor/models/neural_gpu.py vismpc/t2t/tensor2tensor/models/research/cycle_gan.py vismpc/t2t/tensor2tensor/models/research/glow_ops.py vismpc/t2t/tensor2tensor/data_generators/librispeech.py vismpc/t2t/tensor2tensor/models/slicenet.py vismpc/t2t/build/lib/tensor2tensor/data_generators/timeseries_data_generator_test.py vismpc/t2t/tensor2tensor/data_generators/wiki.py vismpc/t2t/tensor2tensor/layers/area_attention_test.py vismpc/t2t/tensor2tensor/models/research/moe.py vismpc/t2t/tensor2tensor/envs/time_step.py render/ext/nanogui/docs/mkdoc_rst.py vismpc/t2t/tensor2tensor/data_generators/desc2code.py vismpc/t2t/build/lib/tensor2tensor/models/video/base.py vismpc/t2t/build/lib/tensor2tensor/data_generators/imagenet_test.py vismpc/t2t/tensor2tensor/data_generators/__init__.py vismpc/t2t/build/lib/tensor2tensor/metrics/video_conditional_fvd_test.py vismpc/t2t/build/lib/tensor2tensor/data_generators/transduction_problems_test.py scripts/run.py vismpc/t2t/tensor2tensor/data_generators/wikisum/utils_test.py vismpc/t2t/build/lib/tensor2tensor/data_generators/wikitext103.py vismpc/t2t/tensor2tensor/models/neural_architecture_search/nas_model_test.py vismpc/t2t/build/lib/tensor2tensor/models/research/gene_expression_test.py vismpc/t2t/tensor2tensor/data_generators/pointer_generator_word.py vismpc/t2t/tensor2tensor/models/research/gene_expression_test.py vismpc/t2t/tensor2tensor/bin/t2t_avg_all.py render/ext/nanogui/ext/pybind11/tests/test_operator_overloading.py vismpc/t2t/tensor2tensor/keras/regularizers_test.py vismpc/t2t/tensor2tensor/models/research/transformer_revnet_test.py vismpc/t2t/tensor2tensor/models/evolved_transformer_test.py vismpc/t2t/build/lib/tensor2tensor/trax/layers/convolution.py vismpc/t2t/build/lib/tensor2tensor/utils/yellowfin_test.py vismpc/t2t/tensor2tensor/layers/reversible_layers_test.py vismpc/t2t/build/lib/tensor2tensor/trax/__init__.py vismpc/t2t/build/lib/tensor2tensor/trax/layers/attention_test.py vismpc/t2t/build/lib/tensor2tensor/envs/tic_tac_toe_env.py vismpc/t2t/tensor2tensor/data_generators/timeseries_data_generator.py vismpc/t2t/build/lib/tensor2tensor/models/shake_shake.py vismpc/t2t/build/lib/tensor2tensor/models/xception_test.py vismpc/t2t/tensor2tensor/layers/bayes_test.py vismpc/t2t/tensor2tensor/models/video/epva.py vismpc/t2t/tensor2tensor/models/research/transformer_parallel.py vismpc/t2t/build/lib/tensor2tensor/models/resnet.py vismpc/t2t/build/lib/tensor2tensor/envs/trajectory_test.py vismpc/t2t/build/lib/tensor2tensor/data_generators/wikisum/utils.py vismpc/t2t/tensor2tensor/models/resnet_test.py vismpc/t2t/tensor2tensor/rl/ppo_learner.py vismpc/t2t/tensor2tensor/data_generators/paraphrase_ms_coco.py vismpc/t2t/tensor2tensor/data_generators/translate_ende_test.py vismpc/t2t/tensor2tensor/models/research/glow_test.py vismpc/t2t/build/lib/tensor2tensor/serving/query.py vismpc/t2t/build/lib/tensor2tensor/bin/t2t_eval.py vismpc/t2t/build/lib/tensor2tensor/layers/area_attention.py vismpc/t2t/build/lib/tensor2tensor/serving/export.py vismpc/t2t/tensor2tensor/data_generators/vqa.py vismpc/t2t/tensor2tensor/trax/layers/base.py vismpc/t2t/build/lib/tensor2tensor/models/research/transformer_symshard.py vismpc/t2t/tensor2tensor/envs/env_problem.py vismpc/t2t/build/lib/tensor2tensor/data_generators/lambada.py vismpc/t2t/build/lib/tensor2tensor/data_generators/timeseries_data_generator.py vismpc/t2t/build/lib/tensor2tensor/layers/latent_layers.py vismpc/t2t/build/lib/tensor2tensor/rl/trainer_model_free_tictactoe_test.py vismpc/t2t/build/lib/tensor2tensor/keras/__init__.py vismpc/t2t/build/lib/tensor2tensor/models/slicenet.py vismpc/t2t/build/lib/tensor2tensor/models/research/autoencoders.py vismpc/t2t/tensor2tensor/data_generators/video_utils_test.py vismpc/t2t/tensor2tensor/models/image_transformer_2d_test.py vismpc/t2t/build/lib/tensor2tensor/utils/optimize.py vismpc/t2t/build/lib/tensor2tensor/models/video/next_frame_glow.py vismpc/t2t/tensor2tensor/data_generators/sst_binary.py vismpc/t2t/build/lib/tensor2tensor/trax/rlax/simulated_env_problem_test.py vismpc/t2t/tensor2tensor/bin/t2t_distill.py vismpc/t2t/build/lib/tensor2tensor/envs/tic_tac_toe_env_test.py vismpc/t2t/build/lib/tensor2tensor/utils/bleu_hook_test.py vismpc/t2t/build/lib/tensor2tensor/layers/vqa_layers.py vismpc/t2t/tensor2tensor/data_generators/mscoco_test.py vismpc/t2t/tensor2tensor/data_generators/wikisum/get_references_commoncrawl.py vismpc/t2t/build/lib/tensor2tensor/envs/gym_env_problem_test.py vismpc/t2t/tensor2tensor/models/video/basic_recurrent_test.py vismpc/t2t/build/lib/tensor2tensor/models/research/attention_lm_moe.py vismpc/t2t/build/lib/tensor2tensor/data_generators/translate_enro.py vismpc/t2t/build/lib/tensor2tensor/trax/rlax/__init__.py vismpc/t2t/build/lib/tensor2tensor/data_generators/lm1b.py vismpc/t2t/build/lib/tensor2tensor/models/research/super_lm.py vismpc/SV2P.py vismpc/t2t/build/lib/tensor2tensor/data_generators/wiki_revision_utils.py vismpc/t2t/build/lib/tensor2tensor/models/research/transformer_revnet.py vismpc/t2t/build/lib/tensor2tensor/trax/rlax/envs/fake_env.py vismpc/t2t/build/lib/tensor2tensor/models/basic.py vismpc/t2t/build/lib/tensor2tensor/envs/gym_spaces_utils_test.py vismpc/t2t/tensor2tensor/trax/layers/pooling.py render/ext/nanogui/ext/pybind11/tests/test_pickling.py vismpc/t2t/build/lib/tensor2tensor/models/revnet_test.py vismpc/t2t/build/lib/tensor2tensor/rl/ppo_learner.py render/ext/nanogui/ext/pybind11/tests/test_exceptions.py vismpc/t2t/tensor2tensor/rl/trainer_model_free_tictactoe_test.py vismpc/t2t/build/lib/tensor2tensor/data_generators/dna_encoder_test.py vismpc/t2t/build/lib/tensor2tensor/data_generators/translate_enes.py vismpc/t2t/tensor2tensor/data_generators/rte.py vismpc/t2t/build/lib/tensor2tensor/utils/t2t_model_test.py vismpc/t2t/tensor2tensor/models/research/vqa_recurrent_self_attention.py vismpc/t2t/build/lib/tensor2tensor/utils/hparam.py vismpc/t2t/tensor2tensor/test_data/example_usr_dir/__init__.py vismpc/t2t/build/lib/tensor2tensor/layers/modalities_test.py vismpc/t2t/tensor2tensor/bin/t2t_translate_all.py vismpc/t2t/tensor2tensor/data_generators/style_transfer_test.py vismpc/t2t/build/lib/tensor2tensor/layers/modalities.py vismpc/t2t/build/lib/tensor2tensor/models/research/glow.py vismpc/t2t/build/lib/tensor2tensor/layers/discretization.py render/ext/nanogui/ext/pybind11/tools/clang/cindex.py vismpc/t2t/build/lib/tensor2tensor/insights/__init__.py vismpc/t2t/tensor2tensor/data_generators/algorithmic_test.py vismpc/t2t/build/lib/tensor2tensor/models/research/lm_experiments.py vismpc/t2t/tensor2tensor/models/research/glow.py vismpc/t2t/tensor2tensor/data_generators/paraphrase_ms_coco_test.py vismpc/t2t/tensor2tensor/layers/transformer_memory_test.py vismpc/t2t/tensor2tensor/data_generators/function_docstring.py vismpc/t2t/build/lib/tensor2tensor/data_generators/wikisum/wikisum.py vismpc/t2t/tensor2tensor/layers/common_image_attention.py vismpc/t2t/build/lib/tensor2tensor/data_generators/program_search_test.py vismpc/t2t/tensor2tensor/models/video/nfg_conv_lstm_test.py vismpc/t2t/build/lib/tensor2tensor/data_generators/translate_envi.py vismpc/t2t/build/lib/tensor2tensor/data_generators/timeseries.py vismpc/t2t/build/lib/tensor2tensor/models/video/emily_test.py vismpc/t2t/build/lib/tensor2tensor/trax/layers/initializers_test.py vismpc/t2t/tensor2tensor/models/image_transformer_2d.py vismpc/t2t/build/lib/tensor2tensor/data_generators/algorithmic.py vismpc/t2t/build/lib/tensor2tensor/models/neural_architecture_search/nas_model_test.py vismpc/t2t/build/lib/tensor2tensor/models/video/nfg_uncond_test.py vismpc/t2t/build/lib/tensor2tensor/data_generators/wiki.py vismpc/t2t/build/lib/tensor2tensor/utils/restore_hook.py vismpc/t2t/tensor2tensor/trax/optimizers/__init__.py vismpc/cost_functions.py vismpc/t2t/tensor2tensor/data_generators/text_encoder_test.py vismpc/t2t/build/lib/tensor2tensor/data_generators/mscoco.py vismpc/t2t/tensor2tensor/envs/env_problem_utils.py render/ext/nanogui/ext/pybind11/tests/test_constants_and_functions.py vismpc/t2t/tensor2tensor/models/video/epva_params.py render/ext/nanogui/ext/pybind11/tests/test_copy_move_policies.py render/ext/nanogui/ext/pybind11/tools/clang/__init__.py vismpc/t2t/tensor2tensor/metrics/video_conditional_fvd.py vismpc/t2t/tensor2tensor/rl/batch_dqn_agent_test.py vismpc/t2t/tensor2tensor/data_generators/allen_brain_test.py setup.py vismpc/t2t/build/lib/tensor2tensor/utils/trainer_lib.py vismpc/t2t/tensor2tensor/serving/__init__.py vismpc/t2t/tensor2tensor/problems_test.py vismpc/t2t/tensor2tensor/data_generators/wikisum/produce_examples.py vismpc/t2t/tensor2tensor/rl/rl_utils.py vismpc/t2t/build/lib/tensor2tensor/data_generators/allen_brain_test.py vismpc/t2t/tensor2tensor/models/research/aligned.py vismpc/t2t/build/lib/tensor2tensor/data_generators/translate_ende_test.py vismpc/t2t/tensor2tensor/models/research/multiquery_paper.py vismpc/t2t/build/lib/tensor2tensor/models/research/multiquery_paper.py vismpc/t2t/build/lib/tensor2tensor/data_generators/common_voice.py render/ext/nanogui/ext/pybind11/tests/test_numpy_array.py vismpc/t2t/tensor2tensor/bin/t2t_datagen.py vismpc/t2t/build/lib/tensor2tensor/layers/latent_layers_test.py vismpc/t2t/build/lib/tensor2tensor/models/video/nfg_test_utils.py vismpc/t2t/build/lib/tensor2tensor/rl/ppo.py vismpc/t2t/tensor2tensor/data_generators/lm1b_mnli.py vismpc/t2t/build/lib/tensor2tensor/utils/hparams_lib_test.py vismpc/t2t/tensor2tensor/data_generators/cloth.py vismpc/t2t/tensor2tensor/data_generators/mnist.py vismpc/t2t/build/lib/tensor2tensor/keras/constraints.py vismpc/t2t/tensor2tensor/rl/restarter.py vismpc/t2t/build/lib/tensor2tensor/models/research/transformer_moe.py vismpc/t2t/build/lib/tensor2tensor/envs/tic_tac_toe_env_problem.py vismpc/t2t/build/lib/tensor2tensor/trax/models/__init__.py render/ext/nanogui/ext/eigen/scripts/relicense.py vismpc/t2t/build/lib/tensor2tensor/models/video/nfg_conv3d_test.py render/ext/nanogui/ext/pybind11/tests/test_kwargs_and_defaults.py vismpc/t2t/build/lib/tensor2tensor/data_generators/video_generated.py vismpc/t2t/build/lib/tensor2tensor/__init__.py vismpc/t2t/tensor2tensor/layers/latent_layers_test.py vismpc/t2t/build/lib/tensor2tensor/models/research/transformer_aux_test.py vismpc/t2t/tensor2tensor/data_generators/conll_ner.py vismpc/t2t/build/lib/tensor2tensor/trax/layers/base.py vismpc/t2t/build/lib/tensor2tensor/models/research/vqa_self_attention.py vismpc/t2t/tensor2tensor/data_generators/translate_enid.py vismpc/t2t/build/lib/tensor2tensor/models/video/basic_stochastic_test.py vismpc/t2t/build/lib/tensor2tensor/bin/build_vocab.py vismpc/t2t/tensor2tensor/models/research/universal_transformer_util.py vismpc/t2t/tensor2tensor/rl/trainer_model_based_stochastic_test.py vismpc/t2t/build/lib/tensor2tensor/models/research/neural_stack_test.py vismpc/t2t/tensor2tensor/data_generators/desc2code_test.py vismpc/t2t/build/lib/tensor2tensor/rl/evaluator.py vismpc/t2t/tensor2tensor/models/distillation.py render/ext/nanogui/ext/pybind11/tests/test_numpy_vectorize.py vismpc/t2t/build/lib/tensor2tensor/data_generators/text_encoder_test.py vismpc/t2t/build/lib/tensor2tensor/rl/trainer_model_based_agent_only.py vismpc/t2t/tensor2tensor/envs/tic_tac_toe_env_problem.py vismpc/t2t/build/lib/tensor2tensor/models/mtf_image_transformer.py vismpc/t2t/build/lib/tensor2tensor/utils/avg_checkpoints.py vismpc/t2t/tensor2tensor/models/neural_architecture_search/nas_layers.py vismpc/t2t/build/lib/tensor2tensor/models/slicenet_test.py vismpc/t2t/tensor2tensor/data_generators/text_problems.py vismpc/t2t/build/lib/tensor2tensor/rl/envs/simulated_batch_env.py vismpc/t2t/tensor2tensor/rl/envs/simulated_batch_gym_env.py vismpc/t2t/build/lib/tensor2tensor/data_generators/snli.py vismpc/t2t/build/lib/tensor2tensor/data_generators/librispeech.py vismpc/t2t/build/lib/tensor2tensor/layers/vq_discrete.py render/ext/nanogui/ext/pybind11/tests/test_multiple_inheritance.py vismpc/t2t/tensor2tensor/data_generators/audio_encoder.py vismpc/t2t/build/lib/tensor2tensor/layers/transformer_memory.py vismpc/t2t/tensor2tensor/trax/layers/__init__.py vismpc/t2t/build/lib/tensor2tensor/models/neural_architecture_search/nas_layers_test.py vismpc/t2t/build/lib/tensor2tensor/utils/beam_search_test.py vismpc/t2t/build/lib/tensor2tensor/data_generators/translate.py vismpc/t2t/build/lib/tensor2tensor/data_generators/ice_parsing.py vismpc/t2t/build/lib/tensor2tensor/data_generators/imagenet.py vismpc/t2t/tensor2tensor/data_generators/lm1b.py vismpc/t2t/tensor2tensor/layers/common_layers_test.py vismpc/t2t/build/lib/tensor2tensor/trax/layers/rnn_test.py vismpc/t2t/build/lib/tensor2tensor/models/lstm_test.py vismpc/t2t/build/lib/tensor2tensor/rl/trainer_model_free_test.py vismpc/t2t/build/lib/tensor2tensor/insights/transformer_model.py vismpc/t2t/build/lib/tensor2tensor/data_generators/desc2code.py vismpc/t2t/tensor2tensor/data_generators/lm1b_imdb.py vismpc/t2t/tensor2tensor/models/research/transformer_vae.py vismpc/t2t/build/lib/tensor2tensor/data_generators/ocr.py vismpc/t2t/tensor2tensor/envs/__init__.py vismpc/t2t/build/lib/tensor2tensor/models/mtf_image_transformer_test.py vismpc/t2t/tensor2tensor/models/research/vqa_attention.py vismpc/t2t/build/lib/tensor2tensor/models/research/glow_ops.py vismpc/t2t/build/lib/tensor2tensor/models/video/savp.py vismpc/t2t/build/lib/tensor2tensor/layers/bayes.py vismpc/scripts/format_hdf5.py vismpc/t2t/tensor2tensor/rl/envs/tf_atari_wrappers.py vismpc/t2t/tensor2tensor/data_generators/cleaner_en_xx.py vismpc/t2t/tensor2tensor/models/video/savp_test.py vismpc/t2t/tensor2tensor/data_generators/gym_env_test.py vismpc/t2t/tensor2tensor/rl/trainer_model_free.py vismpc/t2t/build/lib/tensor2tensor/data_generators/quora_qpairs.py vismpc/t2t/build/lib/tensor2tensor/data_generators/cloth.py vismpc/t2t/build/lib/tensor2tensor/data_generators/function_docstring.py vismpc/t2t/tensor2tensor/trax/layers/attention.py vismpc/t2t/build/lib/tensor2tensor/rl/trainer_model_based_params.py vismpc/t2t/tensor2tensor/layers/gaussian_process.py vismpc/t2t/tensor2tensor/data_generators/problem.py vismpc/t2t/build/lib/tensor2tensor/layers/common_audio.py render/ext/nanogui/ext/pybind11/tests/test_docstring_options.py vismpc/t2t/build/lib/tensor2tensor/rl/dopamine_connector.py vismpc/t2t/tensor2tensor/layers/discretization_test.py vismpc/t2t/tensor2tensor/models/lstm.py vismpc/t2t/tensor2tensor/data_generators/wikisum/__init__.py vismpc/t2t/tensor2tensor/insights/__init__.py vismpc/t2t/tensor2tensor/models/video/base.py vismpc/t2t/build/lib/tensor2tensor/data_generators/style_transfer_test.py vismpc/t2t/build/lib/tensor2tensor/trax/rlax/envs/fake_env_test.py vismpc/t2t/build/lib/tensor2tensor/models/research/moe_experiments.py render/ext/nanogui/ext/pybind11/tests/conftest.py vismpc/make_pkl.py vismpc/t2t/tensor2tensor/data_generators/moving_mnist.py vismpc/t2t/tensor2tensor/models/research/autoencoders_test.py vismpc/t2t/tensor2tensor/models/video/sv2p.py vismpc/t2t/build/lib/tensor2tensor/envs/rendered_env_problem.py vismpc/t2t/build/lib/tensor2tensor/rl/batch_runner_test.py vismpc/t2t/build/lib/tensor2tensor/data_generators/cifar.py vismpc/t2t/tensor2tensor/envs/time_step_test.py vismpc/t2t/tensor2tensor/data_generators/wikisum/parallel_launch.py vismpc/t2t/build/lib/tensor2tensor/data_generators/lm1b_mnli.py vismpc/t2t/build/lib/tensor2tensor/models/revnet.py vismpc/t2t/build/lib/tensor2tensor/models/neural_architecture_search/__init__.py vismpc/t2t/build/lib/tensor2tensor/rl/envs/tf_atari_wrappers.py vismpc/t2t/build/lib/tensor2tensor/layers/common_image_attention_test.py vismpc/t2t/build/lib/tensor2tensor/data_generators/algorithmic_math_deepmind.py vismpc/t2t/tensor2tensor/models/research/gene_expression.py vismpc/t2t/build/lib/tensor2tensor/models/video/__init__.py vismpc/t2t/build/lib/tensor2tensor/data_generators/translate_enid.py vismpc/t2t/build/lib/tensor2tensor/data_generators/yelp_full.py vismpc/t2t/build/lib/tensor2tensor/layers/common_image_attention.py vismpc/t2t/build/lib/tensor2tensor/data_generators/multinli.py vismpc/scripts/dvrk.py vismpc/t2t/tensor2tensor/models/mtf_transformer2.py vismpc/t2t/tensor2tensor/rl/trainer_model_free_test.py vismpc/t2t/build/lib/tensor2tensor/data_generators/qnli.py vismpc/t2t/tensor2tensor/data_generators/yelp_full.py vismpc/t2t/build/lib/tensor2tensor/utils/update_ops_hook.py vismpc/t2t/build/lib/tensor2tensor/models/basic_test.py vismpc/t2t/build/lib/tensor2tensor/models/video/sv2p_test.py vismpc/t2t/tensor2tensor/layers/area_attention.py vismpc/t2t/build/lib/tensor2tensor/insights/server.py vismpc/t2t/build/lib/tensor2tensor/visualization/attention.py vismpc/t2t/build/lib/tensor2tensor/visualization/__init__.py vismpc/t2t/tensor2tensor/data_generators/multi_problem_v2.py vismpc/t2t/tensor2tensor/trax/optimizers/base.py vismpc/t2t/build/lib/tensor2tensor/models/research/universal_transformer_test.py render/ext/nanogui/ext/pybind11/tests/test_alias_initialization.py vismpc/t2t/build/lib/tensor2tensor/trax/layers/initializers.py render/ext/nanogui/ext/pybind11/tests/test_stl_binders.py vismpc/t2t/build/lib/tensor2tensor/rl/gym_utils_test.py vismpc/t2t/tensor2tensor/data_generators/snli.py vismpc/t2t/tensor2tensor/rl/envs/py_func_batch_env.py vismpc/t2t/build/lib/tensor2tensor/keras/regularizers.py vismpc/t2t/build/lib/tensor2tensor/envs/time_step.py vismpc/t2t/build/lib/tensor2tensor/utils/hparams_lib.py vismpc/t2t/build/lib/tensor2tensor/models/bytenet.py vismpc/t2t/tensor2tensor/data_generators/audio_test.py vismpc/t2t/build/lib/tensor2tensor/rl/trainer_model_based_stochastic_test.py vismpc/t2t/tensor2tensor/data_generators/cipher.py vismpc/t2t/tensor2tensor/data_generators/common_voice_test.py render/ext/nanogui/ext/pybind11/tests/test_inheritance.py vismpc/t2t/build/lib/tensor2tensor/data_generators/multi_problem.py vismpc/t2t/build/lib/tensor2tensor/data_generators/wsj_parsing.py vismpc/t2t/build/lib/tensor2tensor/models/video/basic_deterministic_params.py vismpc/t2t/build/lib/tensor2tensor/data_generators/pointer_generator_word.py vismpc/t2t/build/lib/tensor2tensor/trax/models/research/transformer_revnet.py vismpc/t2t/tensor2tensor/envs/gym_env_problem_test.py vismpc/t2t/build/lib/tensor2tensor/trax/models/atari_cnn.py vismpc/t2t/tensor2tensor/__init__.py vismpc/t2t/tensor2tensor/data_generators/inspect_tfrecord.py vismpc/t2t/tensor2tensor/data_generators/program_search.py vismpc/t2t/tensor2tensor/envs/mujoco_problems.py vismpc/t2t/tensor2tensor/models/research/attention_lm_moe.py vismpc/t2t/build/lib/tensor2tensor/bin/make_tf_configs.py gym_cloth/blender/get_image_rep_279.py vismpc/t2t/tensor2tensor/models/video/basic_stochastic_test.py render/ext/nanogui/ext/pybind11/tests/test_callbacks.py vismpc/t2t/tensor2tensor/models/research/transformer_symshard.py vismpc/t2t/tensor2tensor/data_generators/algorithmic_math_test.py vismpc/t2t/build/lib/tensor2tensor/trax/trax.py vismpc/t2t/tensor2tensor/models/revnet_test.py vismpc/t2t/build/lib/tensor2tensor/layers/common_layers_test.py vismpc/t2t/build/lib/tensor2tensor/utils/metrics_test.py vismpc/t2t/build/lib/tensor2tensor/utils/scheduled_sampling.py vismpc/t2t/build/lib/tensor2tensor/data_generators/algorithmic_test.py vismpc/t2t/tensor2tensor/trax/layers/core.py vismpc/t2t/build/lib/tensor2tensor/rl/restarter.py vismpc/t2t/build/lib/tensor2tensor/problems.py vismpc/t2t/tensor2tensor/models/research/vqa_attention_test.py render/ext/nanogui/ext/pybind11/tests/test_opaque_types.py vismpc/t2t/build/lib/tensor2tensor/trax/rlax/ppo.py vismpc/t2t/tensor2tensor/envs/rendered_env_problem.py vismpc/t2t/build/lib/tensor2tensor/rl/__init__.py vismpc/t2t/build/lib/tensor2tensor/layers/common_attention.py vismpc/t2t/build/lib/tensor2tensor/data_generators/style_transfer.py vismpc/t2t/build/lib/tensor2tensor/utils/diet_test.py vismpc/t2t/tensor2tensor/models/video/basic_deterministic.py vismpc/t2t/build/lib/tensor2tensor/data_generators/wikisum/__init__.py vismpc/t2t/build/lib/tensor2tensor/models/research/adafactor_experiments.py vismpc/t2t/build/lib/tensor2tensor/models/video/nfg_conv_lstm_test.py vismpc/t2t/build/lib/tensor2tensor/models/image_transformer_2d.py vismpc/t2t/tensor2tensor/models/video/savp.py vismpc/t2t/build/lib/tensor2tensor/utils/cloud_mlengine.py vismpc/t2t/build/lib/tensor2tensor/utils/devices.py vismpc/t2t/build/lib/tensor2tensor/data_generators/mrpc.py vismpc/t2t/build/lib/tensor2tensor/rl/envs/py_func_batch_env.py vismpc/t2t/tensor2tensor/data_generators/dna_encoder_test.py vismpc/t2t/tensor2tensor/models/video/tests_utils.py vismpc/t2t/build/lib/tensor2tensor/data_generators/wikisum/produce_examples.py vismpc/t2t/build/lib/tensor2tensor/utils/multistep_optimizer.py vismpc/t2t/tensor2tensor/data_generators/algorithmic.py vismpc/t2t/tensor2tensor/metrics/video_conditional_fvd_test.py vismpc/t2t/tensor2tensor/data_generators/translate_enmk.py render/ext/nanogui/ext/pybind11/tests/test_eval.py vismpc/t2t/tensor2tensor/bin/t2t_prune.py vismpc/t2t/tensor2tensor/data_generators/wiki_lm.py vismpc/t2t/tensor2tensor/models/mtf_transformer.py vismpc/t2t/build/lib/tensor2tensor/keras/initializers.py vismpc/t2t/tensor2tensor/data_generators/translate_test.py vismpc/t2t/tensor2tensor/trax/layers/attention_test.py vismpc/t2t/build/lib/tensor2tensor/data_generators/text_problems_test.py vismpc/t2t/tensor2tensor/trax/models/resnet.py vismpc/t2t/build/lib/tensor2tensor/envs/trajectory.py vismpc/t2t/build/lib/tensor2tensor/data_generators/bair_robot_pushing.py vismpc/t2t/tensor2tensor/keras/constraints.py vismpc/t2t/build/lib/tensor2tensor/trax/layers/combinators.py vismpc/t2t/tensor2tensor/data_generators/video_generated.py vismpc/t2t/tensor2tensor/layers/common_layers.py vismpc/t2t/tensor2tensor/data_generators/mscoco.py vismpc/t2t/tensor2tensor/trax/models/neural_gpu_test.py vismpc/t2t/build/lib/tensor2tensor/data_generators/algorithmic_math_two_variables.py vismpc/t2t/build/lib/tensor2tensor/models/video/basic_deterministic.py render/ext/nanogui/python/example3.py vismpc/t2t/build/lib/tensor2tensor/layers/common_hparams.py vismpc/t2t/build/lib/tensor2tensor/keras/initializers_test.py vismpc/t2t/build/lib/tensor2tensor/models/research/aligned.py vismpc/t2t/build/lib/tensor2tensor/data_generators/wiki_multi_problems.py vismpc/t2t/tensor2tensor/layers/vqa_layers.py vismpc/t2t/tensor2tensor/data_generators/scitail.py vismpc/t2t/tensor2tensor/data_generators/speech_recognition.py vismpc/t2t/build/lib/tensor2tensor/models/research/cycle_gan.py vismpc/t2t/build/lib/tensor2tensor/utils/metrics.py vismpc/t2t/build/lib/tensor2tensor/models/mtf_transformer.py vismpc/t2t/tensor2tensor/models/xception.py vismpc/t2t/build/lib/tensor2tensor/models/transformer.py vismpc/t2t/build/lib/tensor2tensor/data_generators/google_robot_pushing.py vismpc/t2t/tensor2tensor/insights/transformer_model.py vismpc/t2t/tensor2tensor/trax/rlax/simulated_env_problem.py vismpc/t2t/tensor2tensor/models/video/emily_test.py vismpc/t2t/tensor2tensor/trax/layers/rnn_test.py vismpc/t2t/tensor2tensor/rl/batch_runner_test.py vismpc/t2t/build/lib/tensor2tensor/rl/datagen_with_agent.py vismpc/t2t/build/lib/tensor2tensor/utils/mlperf_tags.py vismpc/t2t/build/lib/tensor2tensor/layers/transformer_layers.py vismpc/t2t/build/lib/tensor2tensor/models/neural_architecture_search/nas_model.py vismpc/t2t/tensor2tensor/trax/inputs_test.py vismpc/t2t/build/lib/tensor2tensor/serving/__init__.py vismpc/t2t/tensor2tensor/models/research/autoencoders.py vismpc/t2t/build/lib/tensor2tensor/rl/envs/simulated_batch_gym_env.py vismpc/t2t/tensor2tensor/data_generators/cola.py vismpc/t2t/tensor2tensor/data_generators/mrpc.py vismpc/t2t/build/lib/tensor2tensor/data_generators/mscoco_test.py vismpc/t2t/build/lib/tensor2tensor/models/video/basic_stochastic.py vismpc/t2t/tensor2tensor/models/research/transformer_aux.py vismpc/t2t/tensor2tensor/data_generators/algorithmic_math_two_variables.py vismpc/t2t/tensor2tensor/data_generators/ops/subword_text_encoder_ops_test.py vismpc/t2t/build/lib/tensor2tensor/data_generators/translate_entn.py vismpc/t2t/tensor2tensor/trax/models/transformer_test.py vismpc/t2t/build/lib/tensor2tensor/trax/models/neural_gpu_test.py vismpc/t2t/build/lib/tensor2tensor/models/neural_gpu.py vismpc/t2t/build/lib/tensor2tensor/layers/transformer_memory_test.py vismpc/t2t/build/lib/tensor2tensor/models/video/basic_recurrent.py vismpc/t2t/build/lib/tensor2tensor/models/research/gene_expression.py vismpc/t2t/tensor2tensor/trax/trax.py vismpc/t2t/build/lib/tensor2tensor/bin/t2t_bleu.py vismpc/t2t/tensor2tensor/models/research/universal_transformer_test.py vismpc/t2t/build/lib/tensor2tensor/data_generators/text_encoder.py vismpc/t2t/build/lib/tensor2tensor/utils/decoding.py vismpc/t2t/build/lib/tensor2tensor/data_generators/gym_env_test.py vismpc/t2t/build/lib/tensor2tensor/bin/t2t_trainer_test.py vismpc/t2t/build/lib/tensor2tensor/trax/backend_test.py vismpc/t2t/build/lib/tensor2tensor/models/__init__.py vismpc/t2t/tensor2tensor/keras/initializers_test.py vismpc/t2t/tensor2tensor/models/lstm_test.py vismpc/t2t/build/lib/tensor2tensor/data_generators/problem_test.py vismpc/t2t/tensor2tensor/data_generators/image_utils.py analysis/convert_hdf5_visual_dynamics.py vismpc/t2t/build/lib/tensor2tensor/rl/policy_learner.py vismpc/t2t/tensor2tensor/models/resnet.py vismpc/t2t/build/lib/tensor2tensor/models/mtf_resnet.py vismpc/t2t/tensor2tensor/models/video/basic_stochastic.py vismpc/t2t/tensor2tensor/models/video/sv2p_test.py vismpc/t2t/tensor2tensor/models/research/neural_stack.py vismpc/t2t/setup.py vismpc/t2t/build/lib/tensor2tensor/data_generators/paraphrase_ms_coco_test.py vismpc/t2t/tensor2tensor/models/shake_shake.py vismpc/t2t/build/lib/tensor2tensor/envs/rendered_env_problem_test.py vismpc/t2t/build/lib/tensor2tensor/models/research/transformer_vae.py vismpc/t2t/tensor2tensor/models/video/basic_recurrent.py vismpc/t2t/tensor2tensor/models/video/nfg_conv3d_test.py vismpc/t2t/build/lib/tensor2tensor/rl/evaluator_test.py vismpc/t2t/build/lib/tensor2tensor/data_generators/generator_utils_test.py vismpc/t2t/build/lib/tensor2tensor/problems_test.py vismpc/t2t/build/lib/tensor2tensor/utils/data_reader_test.py vismpc/t2t/build/lib/tensor2tensor/utils/test_utils.py vismpc/t2t/build/lib/tensor2tensor/trax/optimizers/__init__.py vismpc/t2t/tensor2tensor/rl/gym_utils_test.py vismpc/t2t/build/lib/tensor2tensor/models/image_transformer_test.py vismpc/t2t/build/lib/tensor2tensor/models/research/attention_lm.py vismpc/t2t/tensor2tensor/data_generators/problem_hparams.py vismpc/t2t/build/lib/tensor2tensor/models/mtf_transformer2.py vismpc/t2t/build/lib/tensor2tensor/utils/expert_utils.py vismpc/t2t/tensor2tensor/data_generators/problem_test.py vismpc/t2t/tensor2tensor/models/neural_architecture_search/nas_layers_test.py vismpc/t2t/build/lib/tensor2tensor/layers/common_video_test.py vismpc/t2t/tensor2tensor/data_generators/generator_utils_test.py vismpc/t2t/build/lib/tensor2tensor/utils/registry.py vismpc/t2t/tensor2tensor/models/research/super_lm.py vismpc/t2t/build/lib/tensor2tensor/envs/tic_tac_toe_env_problem_test.py vismpc/t2t/build/lib/tensor2tensor/models/research/glow_ops_test.py vismpc/t2t/build/lib/tensor2tensor/models/research/transformer_revnet_test.py vismpc/t2t/build/lib/tensor2tensor/utils/video2gif.py render/ext/nanogui/ext/pybind11/setup.py vismpc/t2t/build/lib/tensor2tensor/trax/rlax/envs/online_tune_env.py vismpc/t2t/tensor2tensor/layers/vq_discrete.py vismpc/t2t/build/lib/tensor2tensor/trax/models/research/__init__.py vismpc/t2t/tensor2tensor/bin/t2t_decoder.py vismpc/t2t/build/lib/tensor2tensor/data_generators/celeba.py vismpc/t2t/tensor2tensor/bin/__init__.py vismpc/t2t/tensor2tensor/keras/initializers.py vismpc/t2t/build/lib/tensor2tensor/rl/trainer_model_based.py vismpc/t2t/tensor2tensor/bin/make_tf_configs.py render/ext/nanogui/ext/pybind11/tests/test_chrono.py vismpc/t2t/build/lib/tensor2tensor/utils/misc_utils.py vismpc/t2t/build/lib/tensor2tensor/trax/models/transformer_test.py vismpc/t2t/tensor2tensor/data_generators/google_robot_pushing.py vismpc/t2t/build/lib/tensor2tensor/bin/t2t_distill.py vismpc/t2t/tensor2tensor/data_generators/common_voice.py vismpc/t2t/build/lib/tensor2tensor/data_generators/wikisum/parallel_launch.py render/ext/nanogui/ext/pybind11/tests/test_smart_ptr.py vismpc/t2t/build/lib/tensor2tensor/data_generators/wiki_lm.py vismpc/t2t/build/lib/tensor2tensor/models/research/glow_init_hook.py vismpc/t2t/build/lib/tensor2tensor/data_generators/wikisum/validate_data.py vismpc/t2t/tensor2tensor/data_generators/imdb.py vismpc/t2t/tensor2tensor/data_generators/translate_ende.py vismpc/t2t/tensor2tensor/envs/tic_tac_toe_env_problem_test.py vismpc/t2t/tensor2tensor/models/basic_test.py vismpc/t2t/tensor2tensor/models/research/transformer_moe.py vismpc/t2t/tensor2tensor/data_generators/style_transfer.py vismpc/t2t/build/lib/tensor2tensor/utils/yellowfin.py vismpc/t2t/build/lib/tensor2tensor/utils/get_rouge.py vismpc/t2t/build/lib/tensor2tensor/layers/message_passing_attention.py vismpc/t2t/build/lib/tensor2tensor/bin/__init__.py vismpc/t2t/tensor2tensor/trax/backend_test.py examples/demo_render.py vismpc/t2t/build/lib/tensor2tensor/models/video/emily.py vismpc/t2t/tensor2tensor/data_generators/wikitext103.py vismpc/t2t/tensor2tensor/trax/models/research/transformer_revnet.py vismpc/t2t/build/lib/tensor2tensor/utils/usr_dir.py vismpc/t2t/tensor2tensor/trax/jaxboard.py vismpc/t2t/tensor2tensor/layers/common_image_attention_test.py vismpc/t2t/build/lib/tensor2tensor/utils/__init__.py vismpc/t2t/tensor2tensor/data_generators/generator_utils.py vismpc/t2t/tensor2tensor/envs/mujoco_problems_test.py vismpc/scripts/makegif.py vismpc/t2t/build/lib/tensor2tensor/data_generators/image_utils.py vismpc/t2t/build/lib/tensor2tensor/data_generators/wikisum/utils_test.py vismpc/t2t/build/lib/tensor2tensor/models/research/autoencoders_test.py vismpc/t2t/tensor2tensor/data_generators/stanford_nli.py vismpc/t2t/build/lib/tensor2tensor/utils/adv_attack_utils.py vismpc/t2t/tensor2tensor/layers/common_attention.py vismpc/t2t/tensor2tensor/rl/gym_utils.py vismpc/t2t/build/lib/tensor2tensor/trax/layers/combinators_test.py vismpc/t2t/build/lib/tensor2tensor/data_generators/ptb.py vismpc/t2t/build/lib/tensor2tensor/models/video/basic_recurrent_test.py vismpc/t2t/build/lib/tensor2tensor/utils/adafactor.py vismpc/t2t/build/lib/tensor2tensor/data_generators/speech_recognition.py vismpc/t2t/build/lib/tensor2tensor/rl/player.py render/ext/nanogui/ext/pybind11/pybind11/_version.py vismpc/t2t/build/lib/tensor2tensor/rl/trainer_model_based_sv2p_test.py vismpc/t2t/build/lib/tensor2tensor/models/neural_gpu_test.py vismpc/t2t/tensor2tensor/trax/__init__.py render/ext/nanogui/docs/conf.py vismpc/t2t/tensor2tensor/models/research/transformer_aux_test.py vismpc/t2t/tensor2tensor/trax/models/atari_cnn.py vismpc/t2t/build/lib/tensor2tensor/layers/bayes_test.py vismpc/t2t/build/lib/tensor2tensor/layers/reversible_layers_test.py vismpc/t2t/tensor2tensor/layers/common_video.py vismpc/t2t/tensor2tensor/models/research/transformer_revnet.py vismpc/t2t/tensor2tensor/rl/ppo.py vismpc/t2t/build/lib/tensor2tensor/data_generators/multi_problem_v2_test.py vismpc/t2t/tensor2tensor/data_generators/translate_enet.py vismpc/t2t/tensor2tensor/rl/datagen_with_agent.py vismpc/t2t/tensor2tensor/models/image_transformer.py vismpc/t2t/build/lib/tensor2tensor/data_generators/audio.py vismpc/t2t/tensor2tensor/data_generators/algorithmic_math.py vismpc/t2t/build/lib/tensor2tensor/models/video/tests_utils.py vismpc/t2t/build/lib/tensor2tensor/trax/models/research/position_lookup_transformer.py vismpc/t2t/build/lib/tensor2tensor/envs/env_problem_utils_test.py vismpc/t2t/tensor2tensor/models/video/nfg_interpolate.py vismpc/t2t/tensor2tensor/serving/serving_utils.py vismpc/t2t/build/lib/tensor2tensor/data_generators/vqa_utils.py vismpc/t2t/tensor2tensor/data_generators/ice_parsing.py vismpc/t2t/build/lib/tensor2tensor/utils/sari_hook.py vismpc/t2t/build/lib/tensor2tensor/layers/common_layers.py vismpc/t2t/build/lib/tensor2tensor/metrics/video_conditional_fvd.py vismpc/t2t/tensor2tensor/data_generators/ops/pack_sequences_ops_test.py vismpc/t2t/tensor2tensor/models/research/moe_experiments.py vismpc/t2t/build/lib/tensor2tensor/data_generators/paraphrase_ms_coco.py vismpc/t2t/tensor2tensor/data_generators/translate_enzh.py vismpc/t2t/tensor2tensor/trax/trainer.py vismpc/t2t/tensor2tensor/models/vanilla_gan.py vismpc/t2t/build/lib/tensor2tensor/models/research/vqa_recurrent_self_attention.py vismpc/t2t/tensor2tensor/data_generators/cnn_dailymail.py vismpc/t2t/build/lib/tensor2tensor/models/research/transformer_nat.py vismpc/t2t/build/lib/tensor2tensor/envs/mujoco_problems.py vismpc/t2t/build/lib/tensor2tensor/layers/discretization_test.py vismpc/t2t/tensor2tensor/rl/dopamine_connector.py vismpc/t2t/tensor2tensor/trax/models/research/__init__.py vismpc/t2t/tensor2tensor/data_generators/gene_expression.py vismpc/t2t/build/lib/tensor2tensor/data_generators/algorithmic_math_test.py vismpc/t2t/build/lib/tensor2tensor/models/research/transformer_parallel.py gym_cloth/physics/util.py vismpc/t2t/tensor2tensor/data_generators/timeseries.py gym_cloth/blender/test.py vismpc/t2t/build/lib/tensor2tensor/trax/rlax/envs/__init__.py vismpc/t2t/build/lib/tensor2tensor/trax/layers/normalization.py vismpc/t2t/tensor2tensor/data_generators/tokenizer_test.py vismpc/t2t/build/lib/tensor2tensor/models/video/epva_params.py vismpc/t2t/tensor2tensor/envs/trajectory.py vismpc/t2t/build/lib/tensor2tensor/data_generators/timeseries_test.py vismpc/t2t/build/lib/tensor2tensor/rl/envs/__init__.py vismpc/t2t/build/lib/tensor2tensor/data_generators/squad.py vismpc/t2t/build/lib/tensor2tensor/models/video/savp_test.py vismpc/t2t/tensor2tensor/rl/evaluator.py vismpc/t2t/build/lib/tensor2tensor/data_generators/all_problems.py vismpc/t2t/build/lib/tensor2tensor/models/bytenet_test.py vismpc/t2t/build/lib/tensor2tensor/models/image_transformer.py vismpc/t2t/tensor2tensor/layers/reversible_layers.py vismpc/t2t/tensor2tensor/models/research/transformer_sketch.py vismpc/t2t/build/lib/tensor2tensor/utils/misc_utils_test.py gym_cloth/__init__.py vismpc/t2t/build/lib/tensor2tensor/models/evolved_transformer.py vismpc/t2t/build/lib/tensor2tensor/utils/expert_utils_test.py vismpc/t2t/build/lib/tensor2tensor/utils/t2t_model.py vismpc/t2t/tensor2tensor/data_generators/fsns.py render/ext/nanogui/ext/pybind11/tests/test_virtual_functions.py vismpc/t2t/tensor2tensor/layers/ngram_test.py vismpc/t2t/tensor2tensor/models/mtf_transformer_test.py vismpc/t2t/tensor2tensor/models/research/transformer_nat.py vismpc/t2t/build/lib/tensor2tensor/trax/layers/core_test.py vismpc/t2t/build/lib/tensor2tensor/bin/t2t_trainer.py vismpc/t2t/tensor2tensor/models/bytenet_test.py vismpc/t2t/tensor2tensor/envs/trajectory_test.py vismpc/t2t/tensor2tensor/models/video/savp_params.py render/ext/nanogui/ext/pybind11/tools/libsize.py vismpc/t2t/tensor2tensor/data_generators/gym_env.py vismpc/t2t/build/lib/tensor2tensor/models/research/universal_transformer.py vismpc/t2t/tensor2tensor/data_generators/translate_enes.py vismpc/t2t/tensor2tensor/trax/layers/normalization_test.py vismpc/t2t/build/lib/tensor2tensor/bin/t2t_attack.py vismpc/t2t/build/lib/tensor2tensor/utils/beam_search.py vismpc/t2t/tensor2tensor/data_generators/tokenizer.py vismpc/t2t/build/lib/tensor2tensor/utils/bleu_hook.py vismpc/t2t/tensor2tensor/rl/trainer_model_based_params.py vismpc/t2t/build/lib/tensor2tensor/envs/gym_env_problem.py vismpc/t2t/build/lib/tensor2tensor/data_generators/moving_mnist.py vismpc/t2t/tensor2tensor/layers/transformer_layers.py vismpc/t2t/tensor2tensor/models/video/nfg_test_utils.py vismpc/t2t/build/lib/tensor2tensor/data_generators/transduction_problems.py render/ext/nanogui/ext/pybind11/tests/test_buffers.py analyze get_numpy test_init _create_scene_and_offscreen_render _save_trimesh _save_render_images _preprocess_depth run _corners_nodelta analytic_corners analytic _corners_delta run load_mesh set_floor_pose set_dom_rand set_bed_color set_camera_optical_center set_camera_pose render_image get_occlusion_vec set_cloth_color set_active BVHTreeAndVerticesInWorldFromObj set_bed_pose set_cloth_texture main compute_depth set_lighting set_camera_focal_length ClothEnv write_to_file load_from_file generateDoxygenXML setup qualifyKind kindAsBreatheDirective ExhaleNode exclaimError generate specificationsForKind ExhaleRoot extract ExtractionThread d sanitize_name process_comment EigenQuaternionPrinter lookup_function register_eigen_printers build_eigen_dictionary EigenMatrixPrinter update generate_dummy_code_pybind11 generate_dummy_code_boost get_include test_isinstance test_inheritance test_automatic_upcasting suppress _strip_and_dedent Output doc _sanitize_general pytest_namespace _test_import_pybind11 gc_collect _make_explanation Capture msg _sanitize_docstring _split_and_sort _sanitize_message pytest_assertrepr_compare SanitizedString Unordered capture test_alias_delay_initialization2 test_alias_delay_initialization1 test_from_python test_to_python test_callbacks test_keyword_args_and_generalized_unpacking test_function_signatures test_cpp_function_roundtrip test_lambda_closure_cleanup test_chrono_duration_roundtrip test_chrono_system_clock test_chrono_steady_clock_roundtrip test_chrono_duration_subtraction_equivalence test_floating_point_duration test_chrono_system_clock_roundtrip test_chrono_steady_clock test_class_args test_constants test_exception_specifiers test_bytes test_function_overloading test_lacking_copy_ctor test_lacking_move_ctor test_docstring_options test_dense_signature test_dense test_special_matrix_objects test_nonunit_stride_to_python assert_equal_ref assert_sparse_equal_ref test_eigen_ref_to_python test_sparse_signature test_fixed test_nonunit_stride_from_python test_sparse test_scoped_enum test_implicit_conversion test_binary_operators test_unscoped_enum test_evals test_error_already_set test_python_call_in_catch test_custom test_dupe_assignment test_reference_wrapper test_shared_ptr_gc test_dispatch_issue test_override_ref test_regressions test_complex_cast test_operators_notimplemented test_iterator_rvpolicy test_enable_shared_from_this_with_reference_rvp test_inheritance_override_def_static test_move_fallback test_str_issue test_no_id test_non_destructed_holders test_iterator_passthrough test_nested test_keep_alive_return_value test_keep_alive_argument test_return_none test_function_signatures test_arg_and_kwargs test_named_arguments test_property_rvalue_policy_static test_properties test_static_properties test_property_return_value_policies test_dynamic_attributes test_cyclic_gc test_methods_and_attributes test_property_rvalue_policy test_importing test_reference_internal test_nested_modules test_multiple_inheritance_cpp test_multiple_inheritance_mix1 test_multiple_inheritance_virtbase test_multiple_inheritance_mix2 test_at_fail test_constructors test_dim_check_fail test_numpy_view test_isinstance test_make_c_f_array test_cast_numpy_int64_to_uint64 test_at test_data test_wrap test_index_offset test_mutate_data test_mutate_readonly test_array_attributes arr test_bounds_check test_register_dtype test_enum_array test_signature test_array_constructors test_dtype test_string_array test_scalar_conversion packed_dtype test_format_descriptors assert_equal simple_dtype test_recarray test_vectorize test_docs test_type_selection test_pointers test_string_list test_operator_overloading test_roundtrip_with_dict test_roundtrip test_str_api test_repr test_move_out_container test_exp_optional test_method_docs test_class_docs test_instance test_module test_static test_implicit_casting test_dict_api test_print test_constructors test_accessors test_optional test_sequence test_map_iterator allclose isclose test_generalized_iterators test_shared_ptr_and_references test_smart_ptr test_unique_nodelete test_shared_ptr_from_this_and_references test_smart_ptr_refcounting test_map_string_double test_vector_int test_vector_custom test_vector_bool test_noncopyable_unordered_map test_noncopyable_vector test_noncopyable_map test_noncopyable_deque test_map_string_double_const test_override test_move_support test_inheriting_repeat extract ExtractionThread d sanitize_name process_comment Config SourceRange register_enumerations RefQualifierKind CursorKind TokenGroup register_functions TokenKind FixIt CompileCommands register_function CachedProperty ClangObject CompileCommand CompilationDatabase FileInclusion Diagnostic LibclangError CompletionString CompletionChunk Index StorageClass TranslationUnitLoadError BaseEnumeration AccessSpecifier CodeCompletionResults TypeKind TemplateArgumentKind TranslationUnitSaveError Token CCRStructure _CXUnsavedFile File _CXString CodeCompletionResult TranslationUnit Type Cursor SourceLocation CompilationDatabaseError TestApp cb make_accessors TestApp MyGLCanvas TestApp OracleCornerRevealPolicy HighestPointPolicy HarrisCornerPolicy OracleCornerWrinklePolicy OracleCornerPolicy Policy WrinklesPolicy VisualMPCPolicy run RandomPolicy L2 coverage VAE SSIM DQN VISMPC SV2P Viz format_new_hdf5 sample_data optimize_model DQN get_Q get_model get_net_results get_sorted_imgs npy_to_gif problem available problem available ProblemsTest main main create_surrogate_run_config prepare_data main create_attack_params create_surrogate_hparams create_attack main main generate_data_in_process generate_data_for_problem set_random_seed main generate_data_for_env_problem generate_data_for_registered_problem decode score_file create_decode_hparams main create_hparams main create_experiment_fn create_student_experiment create_teacher_experiment main main create_pruning_strategy create_pruning_params is_chief run_std_server generate_data maybe_log_registry_and_exit create_hparams save_metadata create_experiment_fn set_hparams_from_args execute_schedule main profile_context create_run_config TrainerTest main reverse_generator_nlplike AlgorithmicAdditionDecimal40 AlgorithmicReverseNlplike8k AlgorithmicProblem AlgorithmicReverseBinary40 zipf_random_sample AlgorithmicIdentityDecimal40 AlgorithmicReverseNlplike32k TinyAlgo AlgorithmicIdentityBinary40 AlgorithmicIdentityVocab95Train20Eval30 AlgorithmicMultiplicationBinary40 AlgorithmicReverseDecimal40 AlgorithmicReverseBinary40Test AlgorithmicShiftDecimal40 random_number_lower_endian zipf_distribution lower_endian_to_number AlgorithmicAdditionBinary40 AlgorithmicSortProblem AlgorithmicMultiplicationDecimal40 number_to_lower_endian ExprNode generate_algebra_simplify_sample algebra_inverse_solve format_sympy_expr algebra_simplify generate_algebra_inverse_sample algebra_inverse random_expr is_in_expr generate_calculus_integrate_sample math_dataset_init random_expr_with_required_var calculus_integrate ExprOp AlgorithmicMathDeepmindAll AlgorithmicMathTest AlgorithmicMathTwoVariables _download_mlu_data AlgorithmicTest Img2imgAllenBrainDim16to16Paint1 _generator Img2imgAllenBrainDim48to64 _get_case_file_paths PIL_Image Img2imgAllenBrainDim8to32 random_square_mask maybe_download_image_dataset Img2imgAllenBrain mock_raw_image TestImageMock mock_raw_data TestMockRawData TestAllenBrain TemporaryDirectory _handle_errors _is_import_err_msg import_modules _get_text_data _collect_data _get_timit timit_generator _get_audio_data AudioEncoder AudioTest BabiQa BabiQaConcat _prepare_babi_data _babi_parser _register_babi_problems _normalize_string FeatureNames _problems_to_register _build_vocab VideoBairRobotPushingWithActions PIL_Image VideoBairRobotPushing Img2imgCeleba ImageCeleba32 Img2imgCeleba64 ImageCeleba ImageCeleba64 ImageCelebaMultiResolution ImageCelebahq256 ImageCelebahq128Dmol ImageCelebahq256Dmol ImageCelebahq128 ImageCifar10PlainGen ImageCifar20PlainGen ImageCifar100PlainGen _get_cifar ImageCifar100Plain8 cifar_generator ImageCifar100Plain ImageCifar10PlainRandomShift ImageCifar20Tune ImageCifar20 ImageCifar10PlainGenFlat ImageCifar10PlainGenDmol ImageCifar20Plain Img2imgCifar100 ImageCifar100Tune Img2imgCifar10 ImageCifar20Plain8 ImageCifar10Plain8 ImageCifar10 ImageCifar10Tune ImageCifar10Plain ImageCifar100 AlgorithmicCipherShift200 AlgorithmicCipherVigenere5 generate_plaintext_random ShiftEncryptionLayer AlgorithmicCipherShift5 encipher_shift encipher_vigenere AlgorithmicCipherVigenere200 _is_match clean_en_xx_pairs _raw_sentences _regex_filter _split_sentences paracrawl_v3_pairs SavedVisualForesight SummarizeCnnDailymailWikiLMSharedVocab example_splits SummarizeFracCnnDailymailWikiLMSharedVocab64k SummarizeFrac10CnnDailymailWikiLMSharedVocab64k _maybe_download_corpora SummarizeCnnDailymail32k example_generator SummarizeFrac0p1CnnDailymailWikiLMSharedVocab64k SummarizeCnnDailymailWikiLMMultiVocab64k SummarizeFrac2CnnDailymailWikiLMSharedVocab64k SummarizeFrac20CnnDailymailWikiLMSharedVocab64k SummarizeCnnDailymailWikiLMSharedVocab64k SummarizeFrac5CnnDailymailWikiLMSharedVocab64k SummarizeCnnDailymailMulti64kPacked1k SummarizeFrac50CnnDailymailWikiLMSharedVocab64k SummarizeFrac1CnnDailymailWikiLMSharedVocab64k write_raw_text_to_files _story_summary_split Cola ColaCharacters CommonVoiceClean _collect_data CommonVoiceTrainFullTestClean CommonVoice _file_exists _is_relative set_common_voice_length_hparams CommonVoiceNoisy CommonVoiceTest Conll2002NlNer Conll2002Ner Conll2002EsNer generator_samples ProgrammingDesc2codeCpp Desc2CodeProblem ProgrammingDesc2codePy Desc2codeTest DNAEncoder DelimitedDNAEncoder DnaEncoderTest ImageFSNS GithubFunctionDocstring tfrecord_iterator_for_problem generate_lines_for_vocab get_or_generate_tabbed_vocab test_data_filenames generate_dataset_and_shuffle pack_dataset write_records _shuffle_single gunzip_file dev_data_filenames SequencePairPacker get_or_generate_txt_vocab read_records SequencePacker _data_filenames train_data_filenames sharded_name shuffle_dataset SequenceDatasetPacker combined_data_filenames generate_files_distributed pack_examples download_report_hook _pack_with_custom_ops to_example maybe_download shard_filepath outputs_exist make_tmp_dir get_or_generate_vocab_inner tfrecord_iterator maybe_download_from_drive _scan_step_fn generate_files random_deinterleave get_or_generate_vocab GeneratorUtilsTest reference_packing example_generator trim_right GeneticsTest PIL_Image VideoGoogleRobotPushing Observation DummyWorldModelProblem _Noncopyable T2TEnv EnvSimulationProblem T2TGymEnv register_game GymEnvTest TestEnv ParsingIcelandic16k tabbed_parsing_token_generator tabbed_parsing_character_generator ImageImagenet32Gen _at_least_x_are_true imagenet_pixelrnn_generator ImageImagenet64 _flip ImageImagenet224NoNormalization ImageImagenetRescaled preprocess_for_eval _random_crop Img2imgImagenet distorted_bounding_box_crop ImageImagenet32Small _do_scale ImageImagenet256 preprocess_for_train ImageImagenet ImageImagenetMultiResolutionGen ImageImagenet224 ImageImagenet64Gen ImageImagenet32 _normalize _crop imagenet_preprocess_example ImageImagenet64GenFlat _center_crop ImagenetTest ImageLsunBedrooms pil_image _get_lsun make_multiscale_dilated image_generator matplotlib_pyplot image_augmentation cifar_image_augmentation ImageProblem convert_predictions_to_image_summaries image_to_tf_summary_value Image2ClassProblem Image2TextProblem encode_images_as_png random_shift make_multiscale resize_by_area ImageTest SentimentIMDB SentimentIMDBCharacters main LambadaLm LambadaRcControl LambadaRc LambadaLmControl _prepare_lambada_data get_dataset_split _collect_data Librispeech LibrispeechClean LibrispeechNoisy set_librispeech_length_hparams LibrispeechTrainFullTestClean LibrispeechCleanSmall add_librispeech_hparams LanguagemodelLm1b32kPacked _original_vocab _train_data_filenames LanguagemodelLm1bCharactersPacked LanguagemodelLm1bCharacters LanguagemodelLm1b8kPacked _replace_oov _dev_data_filenames LanguagemodelLm1b32k _maybe_download_corpus LanguagemodelLm1b8k LanguagemodelLm1bSentimentIMDB LanguagemodelLm1bMultiNLISubwords LanguagemodelLm1bMultiNLI VideoMovingMnist MSRParaphraseCorpusCharacters MSRParaphraseCorpus ImageTextMsCoco _get_mscoco ImageTextMsCocoMultiResolution mscoco_generator ImageMsCocoTokens32k ImageMsCocoCharacters MscocoTest MultiNLICharacters MultiNLIWikiLMSharedVocab64k MultiNLIText2text _maybe_download_corpora MultiNLIText2textMulti64kPacked1k _example_generator MultiNLISharedVocab MultiNLIWikiLMSharedVocab MultiNLI MultiNLIWikiLMMultiVocab64k MultiProblem flatten_zip_dataset aggregate_task_lm_losses MixingSchedule normalize_example_nlp aggregate_task_losses MultiText2TextProblem linear_interpolation tuplize example_rates_to_pmf step_interpolation epoch_rates_to_pmf get_multi_dataset MultiProblemV2 encode_schedule decode_schedule get_schedule_distribution categorical_case constant_schedule MultiProblemV2Test OcrTest ParaphraseGenerationMsCocoProblem1dCharacters ParaphraseGenerationMsCocoProblem1d ParaphraseGenerationMsCocoProblem2dCharacters ParaphraseGenerationMsCocoProblem ParaphraseGenerationMsCocoProblem2d create_combination ParaphraseGenerationProblem ParaphraseGenerationProblemTest Text2textCopyableTokens TokenTextEncoderOov DatasetSplit _default_hparams Problem problem_hparams_to_features TaskID FeatureInfo _copy_problem_hparams SpaceID _reverse_problem_hparams preprocess_example_common default_model_hparams AudioTimitProblem AudioTimitTokens8kTune ParsingEnglishPtb16k AudioTimitTokens8kTest TestProblem test_problem_hparams ParsingEnglishPtb8k AudioTimitCharactersTune assert_tensors_equal ProblemTest ProgramSearchAlgolisp ProgramSearchAlgolispStub ProgramSearchAlgolispTest CelebaTest GenomicsExpressionGm12878 dataset_generator GeneExpressionProblem GenomicsExpressionCage10 generate_shard_args generate_dataset GenomicsExpressionL262k to_example_dict mnist_common_generator _get_fashion_mnist _extract_mnist_labels ImageMnistTune fashion_mnist_generator ImageMnist _get_mnist ImageFashionMnist _extract_mnist_images mnist_generator _get_token_encoder LanguagemodelPtbCharacters LanguagemodelPtb10k _read_words _maybe_download_corpus _build_vocab Text2TextProblem Text2TextRemotedir text2text_txt_tab_iterator Text2textTmpdir Text2textTmpdirTokens text2text_generate_encoded ChoppedTextProblem text2class_txt_iterator txt_and_label_iterator Text2ClassProblem text2text_txt_iterator_with_label TextConcat2ClassProblem Text2SelfProblem txt_line_iterator VocabType DistributedText2TextProblem text2text_txt_iterator text2self_txt_iterator QuestionAndContext2TextProblem text2text_distill_iterator TranslateEnidIwslt32k QuestionNLICharacters QuestionNLI QuoraQuestionPairsCharacters QuoraQuestionPairs RTECharacters RTE SavedVisualForesight SciTailSharedVocab SciTailCharacters SciTail _get_or_generate_vocab _get_tokens_and_tags _parse_dataset _download_and_parse_dataset snli_token_generator SpeechRecognitionProblem ByteTextEncoderWithEos SquadText2textMulti64kPacked1k SquadText2text SquadConcatPositioned SquadConcat _generate_examples Squad SquadConcatMulti64k SquadConcatSharedVocab SentimentSSTBinaryCharacters SentimentSSTBinary StanfordNLIWikiLMSharedVocab64k StanfordNLISharedVocab StanfordNLICharacters StanfordNLI StanfordNLIWikiLMSharedVocab StyleTransferModernToShakespeareCharacters StyleTransferProblemShakespeare StyleTransferModernToShakespeare StyleTransferShakespeareToModernCharacters StyleTransferShakespeareToModern StyleTransferProblemShakespeareTest SvaNumberPrediction load_examples SvaLanguageModeling _build_vocab TokenTextEncoder RealEncoder is_unicode _unescape_token OneHotClassLabelEncoder to_unicode_utf8 SubwordTextEncoder to_unicode_ignore_errors to_unicode unicode_to_native ByteTextEncoder native_to_unicode _escape_token ImageEncoder ClassLabelEncoder strip_ids TextEncoder main TokenTextEncoderTest OneHotClassLabelEncoderTest NativeToUnicodeTest SubwordTextEncoderTest EscapeUnescapeTokenTest FakeDistributedProblemNotPerSplit DistributedText2TextProblemsTest FakeDistributedProblem Test1 TextProblems TimeseriesToyProblem TimeseriesProblem TimeseriesSyntheticDataSeries10Samples100k TimeseriesToyProblemNoInputs generate_data TimeseriesDataGeneratorTest TimeseriesTest decode vocab_token_counts corpus_token_counts _read_filepattern encode TestTokenCounts TokenizerTest ReverseSequence CopySequence ReverseSequenceSmall TransductionProblem FlipBiGramSequence CopySequenceSmall TransductionProblem compute_bleu_summaries TranslateProblem _preprocess_sgm _tmx_to_source_target TranslateDistillProblem _clean_sentences compile_data TranslateEncsWmtCharacters TranslateEncsWmt32k TranslateEndeWmtPc32k TranslateEndeWmtPcClean32k TranslateEndeWmt8k TranslateEndeWmtCharacters TranslateEnde2018Wmt32k TranslateEndeWmt32kPacked TranslateEndeWmtClean32k TranslateEndeWmtCleanPc32k TranslateEndeWmtCleanPcClean32k TranslateEndeWmtMulti64k TranslateEndePcClean32k TranslateEndeWmt32k TranslateEndeWmtMulti64kPacked1k TranslateEndeWmt8kPacked TranslateEndePc32k TranslateEndeTest TranslateEnesWmt8k TranslateEnesWmtClean32k TranslateEnesWmtCharacters TranslateEnesWmt8kPacked TranslateEnesWmt32k TranslateEnesWmt32kPacked TranslateEnetWmtCharacters TranslateEnetWmt32k TranslateEnfrWmtSmall8k TranslateEnfrWmt8k TranslateEnfrWmt32k TranslateEnfrWmtCharacters TranslateEnfrWmtMulti64k TranslateEnfrWmtSmallCharacters TranslateEnfrWmt32kPacked TranslateEnfrWmtSmall32k TranslateEnfrWmtMulti64kPacked1k TranslateEnfrWmt32kWithBacktranslateEn TranslateEnfrWmt32kWithBacktranslateFr TranslateEnmkSetimes32k TranslateEnmkSetimesCharacters TranslateEnroWmtMultiTiny64kPacked1k TranslateEnroWmtCharacters TranslateEnroWmt32k TranslateEnroWmtMultiSmall64k TranslateEnroWmtMultiTiny64k TranslateEnroWmtMulti64k TranslateEnroWmt8k TranslateEntnRma TranslateEnviIwslt32k TranslateEnzhWmt32k get_filename TranslateEnzhWmt8k TranslateTest VideoStochasticShapes10k VideoProblem debug_video_writer_factory VideoProblemOld Video2ClassProblem summarize_video_metrics convert_videos_to_summaries create_border video_augmentation display_video_hooks VideoAugmentationProblem resize_video_frames VideoUtilsTest ImageVqav2Tokens10kLabels3k ImageVqav2RcnnFeatureTokens10kLabels3k _get_vqa_v2_image_raw_dataset _get_vqa_v2_image_feature_dataset _get_vqa_v2_annotations ImageQuestion2MultilabelProblem _flip _aspect_preserving_resize _distort_color _apply_with_random_selector vqa_v2_preprocess_image _smallest_size_at_least _mean_image_subtraction LanguagemodelWikiNorefV8kL1k LanguagemodelWikiXmlV8kL1k _page_to_text LanguagemodelWikiScrambleL128 _remove_double_brackets LanguagemodelWikiXmlV8kL4k _dump_to_pages _page_to_title _find_and_replace LanguagemodelWikiNorefV32kL16k LanguagemodelWikiScramble _remove_references LanguagemodelWikiScrambleL1k _remove_triple_quotes LanguagemodelWikiNorefV8kL16k LanguagemodelWikiNorefV32kL1k LanguagemodelWikiNorefV128kL1k LanguagemodelWikitext103 LanguagemodelWikitext103L16k _maybe_download_corpus LanguagemodelWikitext103L4k LanguagemodelWikitext103Characters _build_vocab mix_generators LanguagemodelEnWiki32k LanguagemodelFrWiki64k LanguagemodelRoWiki32k LanguagemodelRoWiki64k LanguagemodelDeEnFrRoWiki64k LanguagemodelFrWiki32k LanguagemodelEnWiki64k LanguagemodelDeEnFrRoWiki64kFitbPacked1k LanguagemodelDeWiki32k LanguagemodelEnWiki64kShorter LanguagemodelDeWiki64k concat_generator LanguagemodelMultiWikiTranslate LanguagemodelEnWikiLMSummarizeFrac2CnndmSubwords64k LanguagemodelEnWikiLMSummarizeFrac10CnndmSubwords64k LanguagemodelEnWikiLMSummarizeCnndmSubwords LanguagemodelEnWikiLMMultiNLISubwords LanguagemodelMultiWikiTranslatePacked1k LanguagemodelEnWikiLMSummarizeFrac50CnndmSubwords64k LanguagemodelEnWikiLMSummarizeFrac20CnndmSubwords64k LanguagemodelEnWikiLMShortMultiNLISubwords64k LanguagemodelEnWikiLMMultiNLISubwords64k LanguagemodelMultiWikiTranslateFr LanguagemodelEnWikiLMSummarizeFrac5CnndmSubwords64k LanguagemodelEnWikiLMSummarizeCnndmSubwords64k LanguagemodelEnWikiLMSummarizeFrac1CnndmSubwords64k LanguagemodelEnWikiLMSquadConcatSubwords LanguagemodelEnWikiLMMultiNLISubwordsV2 LanguagemodelMultiWikiTranslatePacked1kV2 WikiRevision WikiRevisionPacked1k WikiRevisionPacked256 _remove_double_brackets get_text corpus_page_generator introduce_errors get_title maybe_copy_file_to_directory _remove_references all_corpus_files include_revision corpus_files_for_shard get_id _find_and_replace _remove_triple_quotes get_or_generate_vocabulary strip_text _remove_curly_braces get_encoder_from_vocab file_page_generator vocab_filename edit_distance_filter _remove_boring_lines fast_match_sequences get_revisions parse_page throw_empty_pairs WinogradNLICharacters WinogradNLI parsing_token_generator WsjParsing words_and_tags_from_wsj_tree token_generator SentimentYelpFullCharacters SentimentYelpFull SentimentYelpPolarityCharacters SentimentYelpPolarity main main main get_urls_per_shard write_ref_content get_urls_for_shard_group make_tfrecord_writer shard mp_get_text make_example_from_ref text_extraction_callback encode main concat_tfrecord_files get_urls_for_shard tfrecord_fname get_text_from_html _soup_strings create_instance safe_socket launch_instance remote_run list_vm_names_and_ips wait_for_ssh default_zone shell_run_with_retry delete_instance main main WETHeader DummyPool wet_records_from_url WETRecord wet_records_from_file_obj DummyResult shard gzip_memfile wet_download_urls wet_records filter_paragraph timing download readahead UtilsTest _get_testdata aggregate_stats validate_data_files filename_to_task_id main get_length WikisumWeb extract_references_from_wets _references_content WikipediaSection produce_examples _wiki_articles _references_files_by_shard _normalize_text rank_reference_paragraphs WikisumBase _make_example_from_record WikisumCommoncrawl _truncate_to_lead_section WikipediaArticle _encode_wiki_sections make_ref_shard_files _wiki_urls_for_shard _format_title _shard_id_for_file _token_counts WikisumWebLeadSection _process_folders WikisumCommoncrawlLeadSection _tokens_to_score EnvProblem play_env_problem_randomly play_env_problem_with_policy done_indices EnvProblemUtilsTest GymEnvProblem GymEnvProblemTest gym_space_encode discrete_space_spec box_space_spec gym_space_spec cardinality GymSpacesUtilsTest ReacherEnvProblem ReacherEnvProblemTest RenderedEnvProblem RenderedEnvProblemTest get_reward_and_done DummyPolicyProblemTTT encode_pos get_open_spaces TicTacToeEnv register decode_pos TicTacToeEnvProblem TicTacToeEnvProblemTest TicTacToeEnvTest TimeStep TimeStepTest BatchTrajectory Trajectory TrajectoryTest BatchTrajectoryTest Graph Vertex Edge QueryProcessor main NumpySerializationFix DebugFrontendApplication sequence_key topk_watch_fn TransformerModel scores_filter seq_filter serialize Positive deserialize get serialize get TrainableHeNormal ScaledNormalStdDev TrainableHalfCauchy TrainableGlorotNormal TrainableNormal _compute_fans deserialize InitializersTest LogUniformKLDivergence serialize get NormalKLDivergence deserialize HalfCauchyKLDivergence RegularizersTest DiscretizationTest lengths_to_area_mask dot_product_area_attention _pool_one_shape compute_area_features _compute_sum_image basic_pool compute_area_key AreaAttentionTest NCPNormalPerturb MixtureLogistic smart_constant_value LSTMCellReparameterization Conv2DReparameterization DenseVariationalDropout NCPNormalOutput Conv2DVariationalDropout DenseFlipout Conv2DHierarchical DenseHierarchical Conv2DFlipout DenseDVI DenseReparameterization add_weight soft_relu NCPCategoricalPerturb LSTMCellFlipout get_moments BayesTest layers combine_last_two_dimensions reshape_range masked_dilated_self_attention_1d masked_local_attention_2d combine_heads_nd dot_product_unmasked_self_attention_relative_2d _make_local_block sparse_dot_product_attention_truncated causal_attention_bias_nd grouped_attention_multihead attention_bias_same_segment masked_local_attention_1d get_shifted_center_blocks add_timing_signal_nd attention_bias_ignore_padding _split_along_width local_expert_attention split_heads_nd select_block_for_decode_step sparse_dot_product_attention dilated_self_attention_1d right_shift_blockwise_nd matmul_with_relative_keys put_back_blocks_nd get_relative_embeddings_left _extract_blocks scatter_blocks_2d get_2d_local_memory_v2 large_compatible_negative dot_product_unmasked_attention_local_2d_tpu_simple dot_product_attention_relative parameter_attention break_into_blocks_nd combine_heads_2d _relative_position_to_absolute_position_unmasked get_item_at_decode_step scaled_dot_product_attention_simple multihead_attention ffn_self_attention_layer harden_attention_weights get_relative_embeddings_left_right add_layer_timing_signal_learned_1d split_heads_2d _relative_attention_inner get_layer_timing_signal_sinusoid_1d pad_to_multiple_nd combine_heads _absolute_position_to_relative_position_unmasked add_positional_embedding_nd add_positional_embedding break_into_memory_blocks_nd attention_bias_local dot_product_self_attention_relative_v2 attention_bias_batch gather_indices_2d masked_relative_local_attention_1d add_timing_signal_1d_given_position conv_elems_1d map_fn_switch _generate_relative_positions_embeddings deconv_elems_1d local_reduction_attention pad_to_multiple_2d attention_bias_lower_triangle get_layer_timing_signal_learned_1d split_last_dimension multihead_attention_2d self_attention_expert mixed_precision_is_enabled multihead_attention_nd multihead_self_attention_reduced put_item_in_decode_step attention_bias_prepend_inputs_full_attention add_timing_signal_1d embedding_to_padding attention_bias_to_padding _relative_position_to_absolute_position_masked _absolute_position_to_relative_position_masked add_layer_timing_signal_sinusoid_1d masked_local_attention_nd right_shift_blockwise LshGating compute_qkv _get_left_right_blocks attention_bias_proximal add_standard_attention_hparams encoder_decoder_attention_loss dot_product_single_head reshape_by_blocks get_standardized_layers coordinate_tensor gather_blocks_2d dot_product_attention dot_product_unmasked_attention_local_2d_tpu local_attention_2d unflatten_blocks_nd multihead_self_attention_memory_efficient make_edge_vectors padding_to_length dot_product_unmasked_self_attention_relative_v2 combine_first_two_dimensions attention_image_summary decode_step_to_index _matmul_with_relative_keys_2d get_2d_local_memory maybe_upcast dot_product_batched_head flatten_blocks_nd get_timing_signal_1d matmul_with_relative_values masked_within_block_local_attention_1d expert_dot_product gather_dilated_memory_blocks local_attention_1d get_memory_region split_heads _generate_relative_positions_matrix make_2d_block_raster_mask compute_attention_component CommonAttentionTest compute_mel_filterbank_features add_delta_deltas basic_params1 RangedHParams basic_range1 basic_moe_range prepare_encoder local_within_block_attention add_pos_signals maybe_reshape_4d_to_3d prepare_image dilated_attention_1d create_output local_global_attention get_self_attention_bias transformer_encoder_layers get_channel_embeddings prepare_decoder AttentionType postprocess_image local_attention_1d DistributionType transformer_decoder_layers encdec_attention_1d ffn_layer get_dilated_1d_attention_mask local_attention_2d full_self_attention CommonImageAttentionTest underlying_variable layers smoothing_cross_entropy_factored sparse_equals_constant split_to_discretized_mix_logistic_params targeted_dropout sparse_eye list_product conv_hidden_relu gather check_nonnegative kl_divergence maybe_zero_out_padding inverse_lin_decay to_float mask_from_embedding subseparable_conv_block _convert_factored_tensor_to_tensor expand_squeeze_to_nd running_global_pool_1d shakeshake conv_stride2_multistep conv_relu_conv double_discriminator layer_norm nalu brelu top_1_tpu mask_pos_lt saturating_sigmoid conv_gru mix conv_block is_xla_compiled cyclegan_upsample hard_tanh conv1d_block conv_lstm dense_relu_dense smoothing_cross_entropy recompute_grad add_timing_signal weights_nonzero shakeshake2 inverse_sigmoid_decay cast_like group_norm layer_norm_vars WeightNorm smoothing_cross_entropy_factored_grad mask_pos_gt gated_linear_unit_layer sru shakeshake2_grad sparse_expand_dims padded_cross_entropy discretized_mix_logistic_loss sample_with_temperature mean_with_attention weights_all fn_device_dependency subseparable_conv sliced_gan_loss unit_targeting top_kth_iterative fn_with_custom_grad summarize_video inverse_exp_decay make_even_size approximate_split convert_real_to_rgb instance_norm tpu_safe_image_summary _weights_one_third underlying_variable_ref dense conv_hidden_relu_memory_efficient convert_rgb_to_real general_conv shakeshake2_indiv_grad convert_rgb_to_symmetric_real l2_norm single_discriminator argmax_with_score conv_internal separable_conv_block linear_set_layer layer_postprocess layer_prepostprocess pool cumsum nac shakeshake2_eqgrad weight_targeting ravanbakhsh_set_layer tpu_conv1d shakeshake2_py reshape_like_all_dims td_conv get_timing_signal shakeshake2_indiv dense_dropconnect convert_gradient_to_tensor conv_block_internal conv1d should_generate_summaries sparse_add_constant layer_preprocess pad_with_zeros zero_add embedding weights_concatenated dropout_with_broadcast_dims shift_right_3d deep_discriminator weights_multi_problem_all separable_conv pad_to_same_length shape_list sepconv_relu_sepconv batch_dense deconv_stride2_multistep relu_density_logit belu apply_norm CumsumprodCell fn_device_dependency_dict conv standardize_images length_from_embedding lrelu flatten4d3d weights_prepend_inputs_to_targets global_pool_1d conv_block_downsample FactoredTensor _recompute_grad log_prob_from_logits hard_sigmoid patch_discriminator index_last_dim_with_indices weights_multi_problem_input weights_multi_problem shakeshake2_equal_grad layer_norm_compute dml_loss sru_with_scan padded_cross_entropy_factored apply_spectral_norm comma_separated_string_to_integer_list _fn_with_custom_grad gelu ones_matrix_band_part shift_right_2d shift_right upscale noam_norm gru_feedfwd diagonal_conv_gru dropout_no_scaling reshape_like sample_from_discretized_mix_logistic mask_leq RecomputeTest FnWithCustomGradTest CommonLayersTest ffmpeg_works lstm_cell WholeVideoWriter encode_to_shape VideoWriter scheduled_sample_prob vgg_layer BatchWholeVideoWriter IndividualFrameWriter scheduled_sample_count get_gaussian_tensor extract_random_video_patch py_gif_summary inject_additional_input dna_transformation basic_lstm conv_latent_tower decode_to_shape cdna_transformation _encode_gif tile_and_concat gif_summary tinyify conv_lstm_2d beta_schedule swap_time_and_batch_axes CommonVideoTest int_to_bit_embed gumbel_softmax_nearest_neighbor_dvq gumbel_softmax_discrete_bottleneck predict_bits_with_lstm discrete_bottleneck tanh_discrete_unbottleneck parametrized_bottleneck project_hidden vq_nearest_neighbor get_vq_codebook vq_loss isemhash_bottleneck iaf_hparams gumbel_sample embedding_lookup bit_to_int int_to_bit vq_discrete_unbottleneck slice_hidden vq_discrete_bottleneck vq_body parametrized_unbottleneck nearest_neighbor vae tanh_discrete_bottleneck isemhash_unbottleneck gumbel_softmax top_k_softmax embed Zeros LinearKernel BayesianLinearModel batch_mlp GaussianProcess ExponentiatedQuadratic uniform_attention laplace_attention dot_product_attention multihead_attention SparseGaussianProcess NeuralProcess Attention train_neural_process GaussianProcessTest NeuralProcessTest compress_self_attention_layer compress_encoder_2d transformer_latent_decoder compress_encoder compress_encoder_1d residual_block_layer iaf_flow transformer_image_decoder ae_latent_softmax ae_latent_sample_beam transformer_text_encoder decompress_decoder_2d compute_nats_and_bits_per_dim latent_prediction_model decompress_decoder_1d bottleneck_layer transformer_autoencoder decompress_decoder multinomial_sample imagetransformer_latent_tiny LatentLayersTest make_edge_vectors ggnn_fast_dense compute_mpnn_qkv compute_values graph_attention sparse_message_pass_batched _compute_edge_transforms multihead_mpnn_attention dot_product_mpnn_attention precompute_edge_matrices sparse_message_pass multihead_graph_attention dense_message_pass video_pixel_noise_bottom image_bottom class_label_bottom video_loss class_label_top video_raw_top generic_l2_loss symbol_one_hot_loss audio_bottom video_identity_loss video_top ctc_symbol_loss real_log_poisson_loss softmax_average_pooling_class_label_top one_hot_class_label_loss softmax_max_pooling_class_label_top ModalityType video_l2_internal_loss image_top symbol_one_hot_top get_targets_bottom audio_spectral_bottom video_identity_bottom image_channel_compress_targets_bottom video_targets_bottom video_l1_internal_loss generic_loss video_l1_top symbol_targets_bottom get_weights identity_bottom real_bottom _symbol_bottom_simple video_bitwise_targets_bottom multi_label_loss video_raw_targets_bottom sigmoid_max_pooling_class_label_loss real_top get_loss get_name video_raw_bottom get_top _image_channel_compress_bottom image_channel_compress_bottom video_bitwise_bottom video_l1_loss video_l2_loss sigmoid_class_label_loss video_identity_targets_bottom get_bottom image_channel_embeddings_bottom speech_recognition_bottom real_l2_loss image_channel_embeddings_top softmax_last_timestep_class_label_top convert_rgb_to_real video_l1_raw_loss identity_top image_channel_compress_top video_bottom get_weights_fn symbol_bottom class_label_targets_bottom make_targets_bottom symbol_top image_targets_bottom sigmoid_max_pooling_class_label_top is_pointwise video_l2_raw_loss symbol_one_hot_bottom ModalityTest NGram NGramTest one_hot_multiply one_hot_add SinkhornAutoregressiveFlow py_multiplicative_inverse one_hot_argmax one_hot_minus create_masks TransformedRandomVariable DiscreteAutoregressiveFlow ActNorm soft_to_hard_permutation Reverse DiscreteBipartiteFlow sinkhorn MADE TransformedDistribution make_masked_constraint multiplicative_inverse create_degrees make_masked_initializer _log_prob ReversibleLayersTest transformer_ffn_layer layers transformer_prepare_encoder transformer_encoder TransformerMemory RecurrentMemory RecentTokensMemory TransformerMemoryTest image_embedding summarize_tensors multihead_attention DiscreteBottleneck Model VideoEvaluationDataset evaluate_model VideoConditionalFvdTest mtf_transformer_paper_tr_0_mesh_8_v2 mtf_transformer_paper_lm_1 mtf_transformer_paper_tr_4 mtf_transformer_tiny mtf_transformer_paper_tr_0_mesh_128 mtf_transformer_paper_lm_0 mtf_transformer_paper_tr_4_mesh_16_8 mtf_transformer_paper_tr_0_a32 mtf_transformer_enc_single mtf_transformer_paper_lm_2 mtf_transformer_paper_tr_0_mesh_8 mtf_transformer_paper_lm_3 mtf_transformer_paper_tr_2 mtf_transformer_paper_tr_6_mesh_64_8 mtf_transformer_paper_lm_5 mtf_transformer_paper_tr_3 mtf_transformer_paper_lm_m1 mtf_transformer_paper_lm mtf_transformer_paper_tr_0_mesh_512 mtf_transformer_paper_tr_1 mtf_transformer_paper_lm_4 mtf_transformer_base_lm mtf_transformer_tiny_8gpu MtfTransformer mtf_transformer_paper_tr_0 mtf_transformer_paper_tr_0_nf mtf_transformer_tiny_denoising mtf_transformer_tiny_lm mtf_transformer_single mtf_transformer_paper_tr mtf_transformer_paper_tr_m1 mtf_transformer_lm_baseline mtf_transformer_base BasicFcRelu basic_fc_small BasicTest residual_dilated_conv bytenet_base ByteNet bytenet_internal ByteNetTest distill_base Distillation distill_resnet_32_to_15_cifar20x5 EvolvedTransformer evolved_transformer_encoder evolved_transformer_big_tpu add_evolved_transformer_hparams _add_attend_to_encoder_cache evolved_transformer_base_tpu evolved_transformer_deep evolved_transformer_base _capped_double_heads _init_evolved_transformer_cache evolved_transformer_decoder evolved_transformer_big get_model EvolvedTransformerTest imagetransformer_bas8l_8h_big_uncond_dr03_imgnet imagetransformer_base_12l_8h_big imagetransformer_cifar_tpu_range imagetransformer_b10l_4h_big_uncond_dr01_tpu imagetransformerpp_base_12l_8h_big_uncond_dr03_dan_k imagetransformerpp_base_5l_8h_big_uncond_dr00_dan_g_bs1 imagetransformer_base_tpu imagetransformer_base_8l_8h_big_cond_dr03_dan_128 imagetransformerpp_base_12l_8h_big_uncond_dr03_dan_m imagetransformer_base_8l_8h_big_cond_dr03_dan_dilated_b imagetransformerpp_base_14l_8h_big_uncond_dr03_dan_p_bs1 ImagetransformerMoe update_hparams_for_tpu imagetransformerpp_tiny imagetransformer_b10l_4h_big_uncond_dr03_lr025_tpu imagetransformer_base_8l_8h_big_cond_dr03_dan imagetransformer_sep_channels_16l_16h_imgnet_lrg_loc_128 imagetransformer_b12l_4h_b256_uncond_dr03_rel_tpu imagetransformer_base_14l_8h_big imagetransformerpp_base_12l_8h_big_uncond_dr03_dan_m_relsh imagetransformer_base_imagenet_tpu imagetransformer_b10l_4h_big_uncond_dr03_tpu imagetransformerpp_base_8l_8h_big_cond_dr03_dan_a imagetransformer_sep_output_channels_8l_local_and_global_att imagetransformerpp_base_5l_8h_dr00_dan_g_bs1_adafactor imagetransformer_sep_channels_16l_16h_imgnet_lrg_loc image_transformer_base imagetransformerpp_base_12l_8h_big_uncond_dr03_dan_m_bs1 imagetransformer_base_8l_8h_big_cond_dr03_dan_dilated_c imagetransformer_sep_channels_12l_16h_imagenet_large imagetransformer_base_10l_16h_big_uncond_dr01_imgnet imagetransformer_base_14l_8h_big_dr01 imagetransformer_base_rel imagetransformer_sep_channels_8l_8h imagetransformerpp_base_10l_8h_big_uncond_dr03_dan_g imagetransformer_base imagetransformer_sep_channels_8l_multipos3 imagetransformer_b12l_8h_b256_uncond_dr03_tpu imagetransformer_b12l_4h_uncond_dr03_tpu imagetransformer_b12l_4h_big_uncond_dr03_tpu imagetransformerpp_sep_channels_8l_8h imagetransformer_sep_channels_8l imagetransformer_base_10l_8h_big_uncond_dr03_dan imagetransformer_b10l_dr03_moe_tpu Imagetransformer imagetransformer_moe_tiny imagetransformer_cifar10_base_dmol imagetransformer_base_8l_8h_big_cond_dr03_dan_dilated imagetransformer_b12l_4h_b128_uncond_dr03_tpu imagetransformer_base_12l_8h_big_uncond imagetransformer1d_base_12l_64by64 imagetransformerpp_base_6l_8h_dr00_dan_g_bs1_adafactor imagetransformer_b12l_4h_b128_h512_uncond_dr01_im imagetransformerpp_base_12l_8h_big_uncond_dr03_dan_m_rel imagetransformer_base_10l_8h_big_cond_dr03_dan imagetransformerpp_base_8l_8h_big_cond_dr03_dan imagetransformer_base_8l_8h_big_cond_dr03_dan_dilated_d imagetransformerpp_base_10l_8h_big_uncond_dr03_dan_b imagetransformer_base_10l_8h_big_uncond_dr03_dan_64 imagetransformer_tiny_tpu imagetransformer_imagenet32_base imagetransformerpp_base_10l_8h_big_uncond_dr03_dan imagetransformer_tiny imagetransformer_b12l_4h_b128_h512_uncond_dr03_tpu imagetransformer_b12l_4h_big_uncond_dr03_lr025_tpu imagetransformerpp_base_10l_8h_big_uncond_dr03_dan_a imagetransformer1d_base_8l_64by64 imagetransformer_base_14l_8h_big_uncond imagetransformerpp_base_12l_8h_big_uncond_dr03_dan_l imagetransformer_sep_channels_8l_8h_local_and_global_att imagetransformer_b12l_4h_b256_uncond_dr03_tpu imagetransformer_sep_channels_8l_tpu imagetransformerpp_base_14l_8h_big_uncond_dr03_dan_p imagetransformer_cifar10_base imagetransformer_base_10l_16h_big_dr01_imgnet imagetransformer_sep_channels imagetransformerpp_base_14l_8h_big_uncond_dr03_dan_eval imagetransformer_base_10l_16h_big_dr01_moe_imgnet imagetransformer2d_base_14l_8_16_big_uncond img2img_transformer_tiny imagetransformer2d_base_8l_8_16_big_16k img2img_transformer_b3_bs6 imagetransformer_base_10l_8h_big_uncond_dr03_dan_64_2d img2img_transformer_b3_bs4 img2img_transformer_b3_bs1 image_transformer2d_base imagetransformer2d_base_8l_8_32_big img2img_transformer_b2 img2img_transformer_b3_bs9 imagetransformer2d_base_8l_8_16_ls img2img_transformer2d_tiny imagetransformer2d_base_8l_8_16 imagetransformer2d_tiny img2img_transformer_dilated update_hparams_for_tpu imagetransformer2d_base img2img_transformer_base_tpu img2img_transformer2d_n103 img2img_transformer_base img2img_transformer_b3_bs8 img2img_transformer_b3_bs10 img2img_transformer2d_n24 imagetransformer2d_base_12l_8_16_big img2img_transformer2d_q1 img2img_transformer2d_n44 Img2imgTransformerBlockParallel img2img_transformer_b1 img2img_transformer2d_n3 imagetransformer2d_base_14l_8_16_big Img2imgTransformer imagetransformer2d_base_12l_8_64_64by64 img2img_transformer_tiny_tpu img2img_transformer_b3_bs7 img2img_transformer2d_q3 Imagetransformer2d imagetransformer2d_base_8l_8_64_64by64 img2img_transformer2d_base img2img_transformer_b3 imagetransformer2d_base_8l_8_16_big img2img_transformer2d_q2 img2img_transformer_b3_bs3 img2img_transformer2d_n31 img2img_transformer_b3_bs2 img2img_transformer_b3_bs5 Img2imgTransformerTest Imagetransformer2dTest ImagetransformerTest lstm_bahdanau_attention_multi lstm_seq2seq lstm_seq2seq_internal_attention_bid_encoder lstm_luong_attention_multi lstm_bid_encoder lstm LSTMSeq2seqAttentionBidirectionalEncoder lstm_area_attention_enfr lstm_area_attention_base lstm_area_attention_char lstm_seq2seq_internal_attention LSTMSeq2seqBidirectionalEncoder lstm_luong_attention lstm_seq2seq_internal lstm_attention lstm_attention_base lstm_bahdanau_attention LSTMSeq2seq lstm_area_attention_char_enfr _dropout_lstm_cell lstm_attention_decoder lstm_asr_v1 LSTMEncoder lstm_seq2seq_internal_bid_encoder LSTMSeq2seqAttention LSTMTest local_attention1d_masked_decoder mtf_image_transformer_base_cifar local_attention2d_spatial_decoder mtf_image_transformer_base_imagenet_mp128 layer_prepostprocess_dropout mtf_image_transformer_tiny_8gpu mtf_image_transformer_single mtf_image_transformer_base_imagenet mtf_image_transformer_base_imagenet_mp mtf_image_transformer_tiny mtf_image_transformer_cifar_4x mtf_image_transformer_base_imagenet_mp64 MtfImageTransformer mtf_image_transformer_tiny_spatial2d mtf_image_transformer_base mtf_image_transformer_tiny_spatial1d mtf_image_transformer_cifar_mp_4x mtf_image_transformer_base_single local_attention1d_spatial_decoder mtf_image_transformer_base_imagenet_mp_sp mtf_image_transformer_length_sharded MtfImageTransformerTest get_model get_placement_mesh mtf_resnet_tiny MtfResNet mtf_resnet_base_cifar mtf_resnet_single batch_norm_relu mtf_resnet_base block_layer bottleneck_block mtf_resnet_base_single moe_2d_layer mtf_bitransformer_all_layers_tiny self_attention_layer mtr_lm_v1 mtr_tr_dense_1 mtr_tr_dense_0_h4 mtr_tr_dense_0_h1_16 mtr_tr_dense_0_extra_logit mtr_tr_dense_0_h1_8 mtr_tr_dense_0_shared_kv mtr_tr_ende_v0 local_self_attention_layer mtf_unitransformer_tiny mtr_tr_dense moe_1d_layer mtr_lm_dense_0 mtr_tr_dense_local_0_h1_8_kv256 attention_kwargs_from_hparams mtr_lm_dense_1 mtr_tr_dense_0_h16 mtr_tr_ende_deep mtr_lm_dense_3 mtr_tr_dense_local mtf_unitransformer_all_layers_tiny layer_stack_from_hparams MtfBitransformer mtr_lm_dense_2 mtr_lm_dense MtfUnitransformer mtr_tr_dense_local_0_h1_16_shared mtf_bitransformer_tiny mtr_lm_dense_0_h1_16 mtr_tr_dense_local_0 mtr_tr_enfr_v0 mtr_tr_dense_3_fast mtr_tr_dense_local_0_h1_16_shared_kv mtr_tr_dense_0_h2_16 enc_dec_attention_layer mtr_tr_dense_local_0_w8 mtr_tr_dense_3 mtr_lm_v1_h1_8 mtr_tr_dense_2 dense_relu_dense_layer mtr_tr_dense_0_h1_1 mtr_tr_dense_0 mtf_transformer2_base mtr_tr_dense_3_88 mtf_unitransformer_base mtf_bitransformer_base mtr_tr_dense_local_0_h1_16 get_model get_placement_mesh MtfTransformerTest NeuralGPU neural_gpu neural_gpu_body DiagonalNeuralGPU diagonal_neural_gpu NeuralGPUTest layers resnet_weight resnet_18 resnet_imagenet_102 resnet_cifar_32_td_weight_05_05 resnet_cifar_32_td_unit_no_drop conv2d_fixed_padding batch_norm_relu resnet_base resnet_random resnet_unit resnet_101 resnet_cifar_32_td_unit_05_05 Resnet resnet_152 resnet_imagenet_34_td_unit_05_05 bottleneck_block resnet_cifar_32 resnet_fgsm resnet_cifar_15 resnet_imagenet_34_td_weight_05_05 resnet_madry fixed_padding block_layer resnet_200 resnet_imagenet_34 resnet_50 resnet_v2 residual_block resnet_imagenet_34_td_unit_no_drop resnet_34 resnet_tiny_cpu ResnetTest revnet unit Revnet revnet_cifar_base revnet_38_cifar revnet_104 revnet_range f revnet_110_cifar revnet_164_cifar final_block downsample_residual init wrapped_partial revnet_base downsample_bottleneck RevnetTest shake_shake_branch shakeshake_big shake_shake_fgsm ShakeShake shake_shake_skip_connection shake_shake_layer shakeshake_tpu shakeshake_small shake_shake_block shake_shake_quick embed_target_space multi_conv_res slicenet_internal SliceNet slicenet_range1 slicenet_middle slicenet_params1_tiny embedding_to_padding slicenet_params1_noam slicenet_params1 similarity_cost attention rank_loss SliceNetTest text_cnn_base TextCNN transformer_ada_lmpackedbase transformer_dr0 transformer_relative transformer_base_v1 TransformerMemory transformer_tiny_tpu transformer_prepare_decoder transformer_topk_16_packed transformer_big_single_gpu transformer_big_enfr update_hparams_for_tpu transformer_h1 fast_decode_tpu transformer_tiny transformer_tall_pretrain_lm_tpu_adafactor_large transformer_relative_tiny transformer_clean transformer_base_vq_ada_32ex_packed transformer_base_single_gpu transformer_parsing_base TransformerRegressor transformer_base_v3 transformer_big_enfr_tpu transformer_base_range transformer_l8 TransformerEncoder transformer_clean_big transformer_mlperf_tpu transformer_l4 transformer_packed_tpu transformer_base_v2 transformer_imagenet64_memory_v0 transformer_librispeech_v2 transformer_l10 transformer_timeseries TransformerScorer transformer_ada_lmpackedbase_dialog transformer_supervised_attention transformer_base transformer_tiny_tpu_range transformer_base_multistep8 transformer_parsing_ice transformer_small_tpu transformer_base_vq1_16_nb1_packed_nda_b01_scales transformer_tall transformer_librispeech_tpu_v2 transformer_tpu_range transformer_base_vq1_16_nb1_packed_nda_b01_scales_dialog transformer_l2 transformer_parsing_big transformer_decoder transformer_tall_big transformer_small transformer_h4 transformer_tall_finetune_tied transformer_tpu_bf16_activation transformer_lm_tpu_1 transformer_test transformer_h16 transformer_tall_finetune_uniencdec transformer_big transformer_wikitext103_l4k_memory_v0 transformer_big_tpu transformer_tpu_with_conv transformer_timeseries_tpu transformer_ada_lmpackedbase_relative transformer_prepend_v1 transformer_clean_big_tpu fast_decode _init_transformer_cache transformer_librispeech_v1 transformer_tall_pretrain_lm_tpu transformer_parameter_attention_b transformer_tall_pretrain_lm transformer_hs256 transformer_common_voice_tpu transformer_encode transformer_base_vq1_16_nb1_packed_dan_b01_scales transformer_wikitext103_l16k_memory_v0 transformer_tall_train_uniencdec transformer_parameter_attention_a transformer_k128 transformer_prepend_v2 transformer_h32 transformer_librispeech transformer_relative_big transformer_lm_tpu_0 transformer_decoder_layer transformer_big_dr1 transformer_tall_finetune_textclass transformer_common_voice features_to_nonpadding transformer_big_dr2 transformer_ls0 transformer_tall_train_tied Transformer transformer_librispeech_tpu_v1 transformer_tpu_1b transformer_k256 transformer_decode transformer_ff4096 transformer_tpu transformer_librispeech_tpu transformer_cifar10_memory_v0 transformer_dr2 transformer_hs1024 transformer_prepend transformer_ls2 transformer_fairseq_fp16_activation_big transformer_ff1024 transformer_wikitext103_l4k_v0 transformer_tall_pretrain_lm_tpu_adafactor get_model TransformerScorerTest TransformerTest lrelu SlicedGan sliced_gan deconv2d AbstractGAN reverse_gradient xception_base xception_entry xception_tiny xception_exit xception_internal residual_block Xception xception_tiny_tpu XceptionTest model LayerRegisteredError IdentityLayer AttendToEncoderLayerBase SeparableConvLayer DepthwiseConvLayer LightweightConvLayer calculate_depthwise_channel_multiplier TranslationLayer StandardConvLayer DilatedConvLayer AttendToEncoderTopDownLayer GatedLinearUnitLayer AttentionLayer register_encoder_decoder_layer ConvLayerBase LayerRegistry _create_nonpadding_list LayersTest _get_empirical_parameters _zero_after_index_copy _apply_decoder_layer _apply_encoder_layer _pad_shallow_tensors _apply_nas_branch calculate_branching_model_parameters CombinerFunction nas_seq2seq_base should_alter_output_dim NasSeq2Seq nas_encoder nas_decoder _apply_layer_norm MultiplyCombiner ConcatCombiner get_activation_names apply_nas_layers AddCombiner _list_product _get_transformer_branching_encoder_config NasSeq2SeqTest _get_transformer_branching_decoder_config _add_transformer_branching_hparams transformer_moe_layer_v1 _split_into_groups _top_2_gating set_default_moe_hparams transformer_moe_layer_v2 afx_pow08_clip mimic_adam_with_adafactor afx_factored afx_pow05 afx_unscale_relative afx_small_p16 afx_small_p10 afx_small_p12 afx_clip_factored afx_small_p11 afx_adam afx_small_bfloat16 afx_clip2 afx_pow08 afx_pow10 afx_relative afx_small afx_mimic_adam afx_fast afx_clip afx_unscale afx_adafactor afx_base afx_small_p8 aligned_pos_emb Aligned aligned_local_1k aligned_grouped aligned_no_att aligned_pseudolocal_256 aligned_base aligned_8k aligned_memory_efficient aligned_local aligned_8k_grouped _should_preprocess aligned_local_expert aligned_moe _should_postprocess get_batch_coordinate aligned_no_timing aligned_lsh aligned_pseudolocal attention_lm_small attention_lm_prepare_decoder attention_lm_translation attention_lm_decoder AttentionLM attention_lm_translation_full_attention attention_lm_translation_l12 attention_lm_base attention_lm_moe_memory_efficient attention_lm_moe_small attention_lm_moe_base_memeff attention_lm_16k attention_lm_moe_large restore_pad attention_lm_moe_32b_diet attention_lm_12k remove_pad AttentionType attention_lm_hybrid_v2 attention_lm_moe_large_diet attention_lm_moe_base_ae attention_lm_moe_translation AttentionLmMoe attention_lm_moe_base_long_seq attention_lm_moe_tiny expand_batch_coordinates attention_lm_moe_24b_diet attention_lm_attention_moe_tiny attention_lm_moe_prepare_decoder get_batch_coordinate attention_lm_moe_base attention_lm_moe_base_hybrid attention_lm_moe_base_local attention_lm_no_moe_small attention_lm_ae_extended attention_lm_moe_unscramble_base attention_lm_11k autoencoder_ordered_discrete_hs256 autoencoder_ordered_discrete_vq autoencoder_ordered_text_small AutoencoderOrderedDiscrete AutoencoderBasic autoencoder_discrete_tiny time_to_channels autoencoder_autoregressive autoencoder_stacked autoencoder_ordered_discrete_single reverse_gradient autoencoder_residual_discrete_big autoencoder_ordered_text AutoencoderDualDiscrete AutoencoderResidualDiscrete autoencoder_residual_text autoencoder_ordered_discrete_patched AutoencoderAutoregressive autoencoder_discrete_pong_range autoencoder_residual_discrete autoencoder_basic autoencoder_ordered_discrete_image64 AutoencoderBasicDiscrete AutoencoderStacked autoencoder_basic_discrete autoencoder_discrete_cifar AutoencoderResidual autoencoder_residual autoencoder_discrete_pong autoencoder_ordered_discrete AutoencoderResidualVAE autoencoder_range AutoencoderTest generator CycleGAN cycle_gan_internal lossfn cycle_gan_small discriminator split_on_batch conv_layer gene_expression_conv_base fc_layer GeneExpressionConv GeneExpressionModelsTest gene_expression_conv_test glow_hparams Glow GlowInitHook get_eps invertible_1x1_conv revnet scale_gaussian_prior top_prior add_edge_bias actnorm assign conv uniform_binning_correction actnorm_scale dilated_conv_stack single_conv_dist actnorm_center temporal_latent_to_dist squeeze latent_to_dist default_initializer affine_coupling linear_interpolate_rank linear_interpolate merge_level_and_latent_dist noise_op get_dropout get_dilation_rates get_variable_ddi time_pad TemperedNormal postprocess check_cond_latents revnet_step get_cond_latents_at_level encoder_decoder conv_block set_eps level_cond_prior actnorm_3d conv_stack additive_coupling compute_prior split GlowOpsTest GlowModelTest lmx_h2k_f8k lmx_moe_h1k_f4k_x32 lmx_h1k_f64k lmx_base lmx_h1k_f4k lmx_moe_h1k_f8k_x16 lmx_relative lmx_h4k_f16k lmx_h3k_f12k lmx_relative_nopos lmx_moe xmoe2_dense_2 xmoe2_v1_l4k_compressed_c8 xmoe_tr_dense_2k xmoe_dense_8k xmoe_tr_2d xmoe2_tiny xmoe2_v1 denoise_m30 xmoe2_v1_l4k xmoe_tr_dense_32k denoise_t15 xmoe_2d_c15 xmoe2_dense denoise_v1_m50 wiki_2x2_local denoise_z15 denoise_v1_z15 xmoe2_v1_l4k_local_only denoise_dense_2_m30 xmoe2_v1_l4k_compressed_c4 xmoe_2d_x64 denoise_v1_m15 xmoe_top_2 xmoe2_dense_3 xmoe_dense_4k xmoe_tr_1d denoise_v1_t15 xmoe_2d xmoe2_dense_0 xmoe_dense_64k xmoe_top_2_c15 denoise_m15 xmoe2_dense_1 wiki_2x2_base xmoe_2d_debug xmoe2_v1_l4k_global_only wiki_2x2_v1 denoise_v1_m30 xmoe2_v1_x128 mqp_ende_h1_ff6784 mqp_lm1b_h4_kv32_ff9984 mqp_ende_h2_ff6400 mqp_ende_mq8_ff5440 mqp_lm1b_h2_kv64_ff9984 mqp_ende_h4_kv256 mqp_ende_h8_kv16_ff6784 mqp_lm1b_h8_kv16_ff9984 mqp_ende_h4_ff5632 mqp_lm1b_mq8_ff9088 mqp_ende_local mqp_ende_mq8_ff5440_local mqp_ende_h1_kv1024 mqp_ende_base mqp_ende_mq8 mqp_ende_h4_kv32_ff6784 mqp_ende_h2_kv512 mqp_ende_h2_kv64_ff6784 mqp_lm1b_mq8 mqp_lm1b_base mqp_lm1b_h1_ff9984 neural_stack lstm_transduction NeuralQueueCell NeuralQueueModel NeuralStackCell NeuralStackModel NeuralQueueCellTest build_fake_controller NeuralStackCellTest call_fake_controller NeuralStackModelTest ppo_tiny_world_model get_policy ppo_dist_params ppo_original_world_model rlmf_dqn_tiny FeedForwardCnnSmallCategoricalPolicy rlmf_5runs_atari rlmf_eval_dist ppo_discrete_action_base feed_forward_gaussian_fun DenseBitwiseCategoricalPolicy dqn_guess1_rainbow_params rlmf_tiny_overrides dqn_original_params dqn_guess1_params_eval ppo_original_tiny rlmf_5runs ppo_base_v1 make_real_env_fn make_simulated_env_fn dqn_10m_replay_buffer_params FeedForwardCategoricalPolicy ppo_atari_base discrete_random_action_base FeedForwardCnnSmallCategoricalPolicyNew RandomPolicy ppo_pong_ae_base rlmf_dist_threshold ppo_original_params_gamma90 make_simulated_env_kwargs basic_policy_parameters dqn_atari_base ppo_original_params rlmf_base dqn_guess1_params rlmf_tictactoe rlmf_tiny dqn_2m_replay_buffer_params PolicyBase DummyPolicyProblem rlmf_dist ppo_original_world_model_stochastic_discrete rlmf_eval ppo_original_params_gamma95 rlmf_original make_simulated_env_fn_from_hparams rlmf_eval_dist_threshold clip_logits ppo_ttt_params SimilarityTransformer SuperLM super_lm_moe_h4 super_lm_big_tpu super_lm_moe super_lm_moe_4b_diet super_lm_high_mix super_lm_conv super_lm_base _super_stack super_lm_low_mix super_lm_b8k super_lm_big super_lm_tpu_memtest super_lm_tpu shift_and_pad transformer_aux_tiny transformer_aux_base TransformerAux TransformerAuxTest transformer_moe_8k transformer_moe_base transformer_moe_12k transformer_moe_2k transformer_moe_prepend_8k transformer_moe_8k_lm TransformerMoe residual_conv get_latent_pred_loss vq_discrete_unbottleneck TransformerNAT vq_nearest_neighbor compress vq_discrete_bottleneck transformer_nat_big init_vq_bottleneck decode_transformer ae_latent_sample_beam decompress_step transformer_nat_small encode ae_transformer_internal transformer_nat_base transformer_tiny_bs2 transformer_base_bs2 transformer_base_bs6 transformer_base_bs7 transformer_base_bs10 transformer_base_bs3 transformer_big_bs1 transformer_base_bs8 TransformerBlockParallel transformer_base_bs4 transformer_base_bs9 transformer_base_bs1 transformer_tiny_bs3 transformer_base_bs5 transformer_tiny_bs1 transformer_revnet_encoder transformer_revnet_decoder transformer_revnet_big transformer_revnet_base TransformerRevnet transformer_revnet_test TransformerRevnetTest TransformerSketch transformer_sketch transformer_symshard_sh4 transformer_symshard_h4 transformer_symshard_base transformer_symshard_lm_0 TransformerSymshard _layer_stack residual_conv transformer_ae_base_ablation_3 transformer_ae_base_ablation_2 attend transformer_ae_base_iaf transformer_ae_base_ablation_5 transformer_ae_small transformer_ae_base_ablation_1 TransformerAE compress transformer_ae_a3 ae_latent_softmax transformer_ae_base_noatt ae_latent_sample_beam top_k_softmax encode ae_latent_sample transformer_ae_a8 transformer_ae_small_noatt imagetransformer_ae_cifar transformer_ae_base_ablation_4 transformer_ae_base top_k_experts imagetransformer_ae_imagenet decode_transformer decompress_step multinomial_sample transformer_ae_a6 ae_transformer_internal transformer_ae_base_tpu TransformerVaeTest adaptive_universal_transformer_sepconv_tiny universal_transformer_base_fp16 adaptive_universal_transformer_tall adaptive_universal_transformer_tall_actlossw001 adaptive_universal_transformer_global_base_tpu universal_transformer_small universal_transformer_mix_before_ut_base UniversalTransformerEncoder adaptive_universal_transformer_position_random_timing_tiny universal_transformer_position_step_timing_tiny universal_transformer_step_sinusoid_timing_tiny universal_transformer_position_random_timing_tiny universal_transformer_small_dropconnect adaptive_universal_transformer_base_range universal_transformer_highway_base UniversalTransformer adaptive_universal_transformer_with_sru_base universal_transformer_dwa_base universal_transformer_sepconv_tiny universal_transformer_base_range adaptive_universal_transformer_small adaptive_universal_transformer_multilayer_hard adaptive_universal_transformer_mix_before_ut_base adaptive_universal_transformer_concat_tiny update_hparams_for_universal_transformer adaptive_universal_transformer_mix_after_ut_base universal_transformer_sepconv_big universal_transformer_base adaptive_universal_transformer_tall_actlossw0 adaptive_universal_transformer_base_dropout03 universal_transformer_sepconv_base universal_transformer_gru_base universal_transformer_mix_after_ut_base universal_transformer_base_tpu universal_transformer_tall universal_transformer_big adaptive_universal_transformer_base_tpu adaptive_universal_transformer_base adaptive_universal_transformer_global_base universal_transformer_teeny universal_transformer_tiny universal_transformer_lstm_tall adaptive_universal_transformer_multilayer_tpu transformer_teeny universal_transformer_lstm_base adaptive_universal_transformer_base_dropout05 adaptive_universal_transformer_tiny universal_transformer_skip_base UniversalTransformerTest universal_transformer_depthwise_attention universal_transformer_encoder transformer_decoder_ffn_unit universal_transformer_highway fill_memory_slot transformer_encoder_ffn_unit universal_transformer_with_gru_as_transition_function transformer_encoder_attention_unit universal_transformer_skip universal_transformer_with_lstm_as_transition_function universal_transformer_act transformer_decoder_attention_unit add_step_timing_signal universal_transformer_basic add_depth_embedding step_preprocess _ffn_layer_multi_inputs get_ut_layer universal_transformer_layer add_position_timing_signal universal_transformer_decoder vqa_attention_feature_initializer VqaSimpleImageSelfAttention vqa_attention_feature_batch1024 vqa_attention_feature_batch1024_drop01_dna vqa_attention_feature_dnz_noscaledp vqa_attention_feature_batch1024_dnz_noscaledp vqa_attention_drop01_dna vqa_attention_feature_dna mlp vqa_attention_feature_batch1024_numglimps1 question_encoder vqa_attention_base_range vqa_attention_feature_dnz vqa_attention_feature_base vqa_attention_feature_numglimps1 vqa_attention_feature_nonormalization vqa_attention_feature_batch512 vqa_attention_feature_imagefeat512 _get_rnn_cell attn vqa_attention_feature_imagefeat1024 VqaAttentionBaseline vqa_attention_feature_batch1024_drop01_dna_concat vqa_attention_feature_hidden1024 vqa_attention_base vqa_attention_feature_batch1024_drop01 vqa_attention_numglimps1 image_encoder vqa_attention_feature_batch1024_lstmlayernorm vqa_attention_feature_batch1024_dnz vqa_attention_feature_dnz_l2 vqa_attention_feature_lstmlayernorm vqa_attention_feature_batch1024_dnz_l2 VqaAttentionBaselineTest vqa_recurrent_self_attention_highway vqa_recurrent_self_attention_big_l4 vqa_recurrent_self_attention_mix_before_ut recurrent_transformer_decoder vqa_recurrent_self_attention_small vqa_recurrent_self_attention_base vqa_recurrent_self_attention_ls2 vqa_recurrent_self_attention_drop1 VqaRecurrentSelfAttention vqa_recurrent_self_attention_drop3 prepare_image_question_encoder vqa_recurrent_self_attention_l4 vqa_recurrent_self_attention_big vqa_recurrent_self_attention_gru vqa_recurrent_self_attention_l8 vqa_self_attention_feature_batch1024_hidden6_big prepare_question_encoder mlp VqaIterativeCombinedSelfAttention question_encoder vqa_self_attention_feature_batch1024 vqa_self_attention_feature_batch1024_hidden6 iterative_encoder_decoder vqa_self_attention_base vqa_self_attention_feature_batch1024_big prepare_image_question_encoder attn vqa_self_attention_feature vqa_self_attention_feature_batch1024_drop03 VqaCombinedSelfAttention image_question_encoder decoder image_encoder vqa_self_attention_feature_lr5 VqaSelfAttention vqa_self_attention_feature_batch1024_exp flat_lists NextFrameBase pixels_from_softmax next_frame_base NextFrameBaseVae NextFrameBasicDeterministic next_frame_base_range next_frame_pixel_noise next_frame_ae_range next_frame_ae next_frame_tpu next_frame_sampling next_frame_ae_tiny next_frame_small next_frame_pixel_noise_long next_frame_tiny next_frame_clipgrad_range next_frame_l1 next_frame_xent_cutoff_range next_frame_doubling_range next_frame_l2 next_frame_basic_deterministic NextFrameTest next_frame_basic_recurrent NextFrameBasicRecurrent NextFrameTest NextFrameBasicStochastic NextFrameBasicStochasticDiscrete next_frame_basic_stochastic_discrete next_frame_basic_stochastic next_frame_sampling_stochastic next_frame_basic_stochastic_discrete_long next_frame_stochastic_discrete_latent_range next_frame_stochastic_discrete_range NextFrameTest NextFrameEmily next_frame_emily NextFrameTest construct_model predictor van_dec_2d van van_image_enc_2d analogy_computation_2d encoder_vgg peak_signal_to_noise_ratio l1_error calc_loss_psnr van_enc_2d NextFrameEpva mean_squared_error next_frame_epva get_cond_latents next_frame_glow_hparams next_frame_glow_bair_quant frame_glow_hparams NextFrameGlow next_frame_glow_bair_qual next_frame_glow_shapes NextFrameGlowConv3DTest NextFrameGlowConv3DTest NextFrameGlowConvTest decode_hparams interpolations_to_summary preprocess_frame interpolate latents_to_frames main get_summaries_log_dir frame_to_latents fill_infer_targets fill_hparams create_basic_features NextFrameGlowTest NfgUncondTest NextFrameSavpBase NextFrameSavpRl NextFrameSAVP next_frame_savp_gan next_frame_savp next_frame_savp_vae next_frame_savp_l2 NextFrameTest NextFrameSv2pDiscrete NextFrameSv2p NextFrameSv2pLegacy NextFrameSv2pTwoFrames NextFrameSv2pAtari next_frame_sv2p_atari_deterministic next_frame_sv2p_atari_softmax_deterministic next_frame_sv2p_atari_softmax next_frame_sv2p next_frame_sv2p_atari next_frame_sv2p_discrete next_frame_sv2p_tiny_external next_frame_sv2p_tiny next_frame_sv2p_cutoff NextFrameTest action_modalities BaseNextFrameTest full_modalities fill_hparams get_tensor_shape create_basic_features create_full_features create_action_features BatchDQNAgentTest BatchedRunnerTest MockEnvironment BatchEnv MockLogger _create_mock_checkpointer main BatchRunner _OutOfGraphPrioritizedReplayBuffer get_create_batch_env_fun _WrappedPrioritizedReplayBuffer _RainbowAgent BatchDQNAgent get_create_agent DopamineBatchEnv _parse_hparams _DQNAgent BatchRainbowAgent ResizeBatchObservation _get_optimizer _OutOfGraphReplayBuffer PaddedTrajectoriesEnv DQNLearner planner_guess1 make_eval_fn_with_agent get_game_for_worker planner_tiny planner_guess3 make_agent planner_guess7 collect_frames_for_random_starts planner_guess9 planner_guess2 main evaluate_world_model evaluate planner_guess0 make_env planner_base planner_guess4 planner_guess5 planner_guess8 evaluate_all_epochs planner_guess6 planner_small make_agent_from_hparams EvalTest make_gym_env remove_time_limit_wrapper RenderedEnv StickyActionEnv MaxAndSkipEnv register_gym_env gym_env_wrapper EnvWithOptions SimpleEnv GymUtilsTest main SimAndRealEnvPlayer SingleEnvPlayer PlayerEnv infer_last_epoch_num setup_and_load_epoch SimulatedGymEnv load_data_and_make_simulated_env infer_paths PPOPolicyInferencer ExtendToEvenDimentions wrap_with_monitor RenderObservations create_simulated_env infer_game_name_from_filenames PolicyLearner calculate_generalized_advantage_estimator discounted_rewards define_ppo_epoch _distributional_to_value define_ppo_step _define_train _rollout_metadata PPOLearner _define_collect _run_train _MemoryWrapper Restarter RestarterTest full_game_name make_initial_frame_chooser update_hparams_from_hparams BatchWrapper PolicyAgent evaluate_all_configs RandomAgent compute_mean_reward summarize_metrics PlannerAgent augment_observation BatchAgent SimulatedBatchGymEnvWithFixedInitialFrames should_apply_max_and_skip_env setup_env random_rollout_subsequences evaluate_single_config run_rollouts BatchStackWrapper _eval_fn_with_learner evaluate_world_model absolute_hinge_difference get_metric_name train_agent load_metrics real_env_step_increment make_relative_timing_fn world_model_step_increment train_agent_real_env random_rollout_subsequences train_world_model setup_directories main training_loop train_supervised make_log_fn get_simulated_problem_name main rlmb_dqn_guess1 rlmb_quick rlmb_ppo_base_param_sharing rlmb_ppo_tiny rlmb_ppo_quick_param_sharing rlmb_tiny_stochastic rlmb_tiny_recurrent rlmb_all_games rlmb_dummy_range training_loop_hparams_from_scoped_overrides rlmb_basetest rlmb_base_stochastic_discrete_50k rlmb_base_stochastic_discrete_20k_model_steps rlmb_ppo_epochs_num rlmb_base_stochastic_discrete_20k rlmb_base_sv2p_softmax rlmb_tiny_sv2p rlmb_ppolr_game rlmb_l1l2cutoff_range rlmb_base_stochastic_discrete_200k rlmb_ppo_epoch_len rlmb_human_score_games create_loop_hparams rlmb_xentcutoff_range rlmb_tiny dynamic_register_hparams rlmb_base_stochastic_discrete_noresize rlmb_base_sv2p_deterministic_softmax rlmb_ppo_quick rlmb_base_stochastic_discrete_1m rlmb_epochs_num rlmb_dqn_guess1_rainbow split_scoped_hparams rlmb_pixel_noise rlmb_long rlmb_base_sampling_stochastic rlmb_curious_games10 rlmb_base_stochastic_discrete_30k_model_steps rlmb_quick_noresize rlmb_dqn_guess1_10m_replay_buffer rlmb_grid rlmb_base_stochastic_discrete_1epoch rlmb_dqn_guess1_2m_replay_buffer rlmb_base_sv2p rlmb_long_stochastic_discrete_planner rlmb_ppolr rlmb_three rlmb_ppo_optimization_batch_size rlmb_ae_variance rlmb_quick_sd rlmb_ppo_base _rlmb_base _rlmb_tiny_overrides rlmb_dqn_tiny rlmb_base_stochastic_discrete_param_sharing rlmb_base_stochastic_discrete_500k rlmb_base_stochastic_discrete rlmb_long_stochastic_discrete_gamma90 rlmb_base_recurrent rlmb_base_stochastic_discrete_3epochs rlmb_ae_ppo_lr rlmb_base_sv2p_deterministic rlmb_num_frames rlmb_base_stochastic_discrete_sticky_actions rlmb_logits_clip rlmb_games_problematic_for_ppo rlmb_long_stochastic_discrete_simulation_deterministic_starts merge_unscoped_hparams rlmb_curious_games5 rlmb_quick_sm rlmb_test1 rlmb_base_sampling rlmb_sdtest rlmb_long_stochastic_discrete_gamma95 rlmb_base_stochastic_discrete_75k_model_steps rlmb_long_stochastic_discrete_25steps rlmb_base rlmb_tiny_simulation_deterministic_starts rlmb_base_stochastic update_hparams rlmb_human_score_games_v100unfriendly rlmb_scheduled_sampling rlmb_debug_games rlmb_noresize rlmb_variance_nogame rlmb_dropout_range rlmb_intrinsic_reward_scale rlmb_long_stochastic_discrete_100steps rlmb_variance rlmb_whitelisted_games rlmb_long_stochastic_discrete rlmf_proportional_epoch_length rlmb_base_sampling_noresize rlmb_dqn_base ModelRLExperimentRecurrentTest ModelRLExperimentStochasticTest ModelRLExperimentSv2pTest ModelRLExperimentTest main train initialize_env_specs TrainTest TrainerModelFreeTicTacToeTest InGraphBatchEnv PyFuncBatchEnv compute_uncertainty_reward SimulatedBatchEnv PIL_Image PIL_ImageDraw HistoryBuffer SimulatedBatchGymEnv FlatBatchEnv StackWrapper WrapperBase export_as_tfhub_module export_module_spec_with_checkpoint main create_hparams create_estimator _get_hparams_path main make_request_fn validate_flags _decode _encode make_cloud_mlengine_request_fn make_grpc_request_fn _make_example _create_stub predict backend jit conv dataset_as_numpy RandomBackend logsumexp sum_pool jax_conv _normalize_by_window_size NumpyBackend get_name grad pmap jax_sum_pool use_backend jax_max_pool jax_avg_pool _pooling_general max_pool avg_pool BackendTest History wmt_preprocess dataset_to_stream _train_and_eval_dataset_v1 no_preprocess _make_info inputs batch_fun _eager_dataset_iterator lm1b_preprocess concat_preprocess _select_features random_inputs shuffle_and_batch_data _train_and_eval_batches train_and_eval_dataset cifar10_no_augmentation_preprocess test_dataset_ints InputsTest _pack_images SummaryWriter markdownify_operative_config_str MultifactorSchedule EvalAdjustingSchedule main _default_output_dir _setup_gin Trainer _is_jit_init save_state log loss step_log _save_replicated evaluate_loss_train_and_eval _make_list _jit_predict_fn masked_mean neg_log_perplexity evaluate_train_and_eval reshape_by_device MemoryEfficientTrainer _save_gin log_metrics restore_state _print_n_params evaluate _jit_compute_loss_fn accuracy _jit_update_fn _reshape_by_device_single train epochs get_random_number_generator_and_set_seed TraxTest test_inputs PureAttention DotProductAttention AttentionQKV ShiftRight PaddingMask _positional_encoding_new_params EncoderDecoderMask CausalMask Attention PositionalEncoding AttentionTest nested_map sizes _validate_call_input ShapeType nested_reduce _random_values _apply_to_first_n _shorten_file_path _short_traceback _is_tuple_of_shapes _find_frame LayerError shapes _eval_on_shapes layer check_shape_agreement Layer BaseLayerTest _ensure_sublayers Serial Dup _deep_flatten Swap FlattenList Gate Add Residual _pop_rng_and_split Drop _nested_op Parallel Model Multiply SubtractTop _count_items Concatenate CombinatorLayerTest Conv ConvolutionLayerTest Exp Softmax one_hot Embedding Div Relu HardTanh LogSoftmax ToFloat Tanh Sigmoid Softplus Dense AddConstant Mean HardSigmoid Flatten Dropout CoreLayerTest GlorotNormalInitializer GlorotUniformInitializer RandomNormalInitializer InitializersTest BatchNorm LayerNorm BatchNormParams LayerNormParams NormalizationLayerTest SumPool MaxPool AvgPool PoolingLayerTest GeneralGRUCell GRUCell ConvGRUCell RnnLayerTest layer_configure _shift_right AtariCnn AtariCnnTest MLP MLPTest NeuralGPU ConvDiagonalGRU DiagonalGate SaturationCost NeuralGPUTest WideResnet WideResnetBlock Resnet50 WideResnetGroup IdentityBlock ConvBlock ResnetTest Transformer EncoderBlock FeedForward TransformerLM DecoderBlock TransformerEncoder EncoderDecoder TransformerTest model_configure MixHeadsPos CombineHeadsPos LearnedQP ResidualFeedForward DecoderLayer PositionLookupTransformerLM CutAtPosition QueryPositionKV ApplyAndQueryPositions AttentionPosition Softmax5Branches PreservePosition NewPositionalEncoding SumLearnedPick Dup2 CopyHeadsPos DeepFlatten JoinHeads ApplyAttentionWrapper Map ReversibleHalfResidual SplitHeads ReversibleLayerMixin FeedForward Unchunk Split MemoryEfficientDotProductAttention ReversibleSwap ReversibleAttentionHalfResidual ReversibleSerial Chunk TransformerRevnetLM DotProductAttention DecoderBlock RMSProp Optimizer clip_grads l2_norm Adam SGD SM3 Momentum tree_unflatten tree_flatten opt_configure maybe_restore_params optimizer_fn policy_and_value_net combined_loss ppo_loss_given_predictions chosen_probabs combined_loss_given_predictions get_padding_value pad_trajectories compute_probab_ratios evaluate_policy clipped_probab_ratios collect_trajectories masked_entropy rewards_to_go clipped_objective get_time approximate_kl deltas write_eval_reward_summaries gae_advantages policy_and_value_opt_step training_loop value_loss_given_predictions atari_layers common_layers make_env get_optimizer_fn main PpoTest PpoTrainingLoopTest SimulatedEnvProblem SimulatedEnvProblemTest FakeEnv FakeEnvTest OnlineTuneEnv OnlineTuneTest MockTrainer configure_and_register_env Parallelism _add_variable_proxy_methods noisy_top_k_gating SparseDispatcher PadRemover DistributedSparseDispatcher local_moe reduce_by_device add_scope ffn_expert_fn transpose_list_of_lists expand_by_device _rowwise_unsorted_segment_sum cv_squared vq_gating _prob_in_top_k _gates_to_load update_hparams_for_vq_gating map_ids flatten_all_but_last _normal_distribution_cdf local_moe_tpu add_var_scope add_name_scope _my_top_k TruncatingDispatcher all_reduce_ring MultistepAdamOptimizer reduce_rms adafactor_optimizer_from_hparams adafactor_decay_rate_pow step_num AdafactorOptimizer adafactor_decay_rate_adam madry random RandomAttack fgsm T2TAttackModel main checkpoint_exists compute_batch_indices fast_tpu_gather compute_topk_scores_and_seq _create_make_unique _create_topk_unique _unmerge_beam_dim beam_search get_state_shape_invariants top_k_with_unique _expand_to_beam_size _merge_beam_dim BeamSearchTest UnicodeRegex _get_ngrams _read_stepfiles_list _try_twice_tf_glob stepfiles_iterator bleu_score bleu_wrapper bleu_tokenize compute_bleu BleuHookTest CheckpointCompatibilityTest get_data_dir get_default_master_type get_requirements configure_usr_dir default_project get_setup_file autotune_paramspecs flags_as_args tar_and_copy_t2t format_cmd configure_trainer_package shell_output configure_job launch launch_job configure_autotune tar_and_copy_usr_dir _tar_and_copy job_dir confirm validate_flags shell_run default_region main padded_batch input_fn pad_for_tpu example_length example_valid_size _file_num_records_cached pad_batch cpu_count _bucket_boundaries batching_scheme standardize_shapes skip_random_fraction cast_ints_to_int32 hparams_to_batching_scheme _are_shapes_fully_defined _summarize_features DummyQueueRunner DataReaderTest generate_test_data TestProblem latest_checkpoint_step decode_hparams _decode_filename get_step_from_ckpt_path _interactive_input_fn decode_from_file _decode_batch_input_fn save_video _interactive_input_tensor_to_features_dict DecodeHookArgs decode_once decode_from_dataset _save_until_eos _get_sorted_inputs decode_interactively run_postdecode_hooks _get_language_modeling_inputs _add_shard_to_filename log_decode_results show_and_save_image make_input_fn_from_generator _decode_input_tensor_to_features_dict data_parallelism data_parallelism_from_flags DietAdamOptimizer _dequantize _fn_with_diet_vars diet_adam_optimizer_params fn_with_diet_vars _create_diet_optimizer make_diet_var_getter diet_expert _quantize DietVariableOptimizer DietVarTest ExpertUtilsTest main write_to_file prep_data parse_values _reuse_fail _cast_to_type_if_compatible _process_scalar_value HParams _process_list_value _parse_fail create_hparams_from_json copy_hparams create_hparams add_problem_hparams HparamsLibTest HParamsTest _learning_rate_warmup learning_rate_factor _piecewise_learning_rate _legacy_sqrt_decay _learning_rate_decay legacy_learning_rate_schedule _global_step learning_rate_schedule sequence_edit_distance create_eager_metrics set_recall image_summary sigmoid_recall_one_hot padded_rmse padded_accuracy sigmoid_accuracy_one_hot create_evaluation_metrics Metrics padded_log_poisson set_precision multilabel_accuracy_matchk padded_variance_explained padded_sequence_accuracy word_error_rate create_eager_metrics_internal multilabel_accuracy_match3 prefix_accuracy padded_neg_log_perplexity_with_masking dmol_neg_log_perplexity rounding_accuracy sigmoid_precision_one_hot create_eager_metrics_for_problem padded_accuracy_topk sigmoid_accuracy rounding_sequence_accuracy sigmoid_cross_entropy_one_hot pearson_correlation_coefficient image_rmse padded_accuracy_top5 abs_error padded_neg_log_perplexity softmax_cross_entropy_one_hot roc_auc has_metric_plateaued EarlyStoppingHook MetricsBasedHook PlateauOpHook DummyHook MetricsHookTest MetricsTest snakecase_to_camelcase camelcase_to_snakecase pprint_hparams MiscUtilsTest get_caller _mlperf_print transformer_print get_mode MtfModel MultistepAdamOptimizerTest _mixed_precision_is_enabled optimize weight_decay_and_noise get_variable_initializer adafactor _register_base_optimizer yellow_fin momentum true_adam adam_w weight_decay adam log_variable_sizes summarize_variables weight_noise multistep_adam ConditionalOptimizer OptimizeTest sparsify weight unit EighthPowerEncoding _randomized_roundoff_to_bfloat16 noise_from_step_num simulated_quantize ParameterEncoding bfloat16_activations_var_getter _EncodingInitializer float16_activations_var_getter _to_bfloat16_unbiased help_string _nargs_validator display_list_by_prefix _on_problem_set Registries default_name env_problem _call_value parse_problem_name Registry problem get_problem_name _problem_name_validator _on_model_set _hparams_value_transformer optimizer list_hparams HParamRegistryTest RegistryHelpTest EnvProblemRegistryTest RegistryClassTest ModelRegistryTest OptimizerRegistryTest RestoreHook rouge_2_fscore _len_lcs _get_ngrams rouge_l_fscore rouge_n _f_lcs _lcs rouge_l_sentence_level TestRougeMetricsE2E TestRouge2Metric TestRougeLMetric _get_ngram_counter _get_fbeta_score get_keep_score sari_score get_deletion_score get_sari get_addition_score get_sari_score SariHookTest inverse_decay_mix_prob _mix_tokens _update_timestep sequential_scheduled_sampling_for_t2tmodel _sample_next_tokens ScheduledSamplingAdapter sequential_scheduled_sampling T2TModel create_eager_var_store DummyVariableStore create_tpu_eval_metrics_fn log_warn _flatten_dict summarize_features set_custom_getter_compose log_info initialize_from_ckpt _del_dict_non_tensors _compose_custom_getters log_debug create_dummy_vars _unflatten_dict _create_target_modality average_sharded_losses _with_timing _eager_log remove_summaries create_host_call T2TModelTest run_in_graph_and_eager_modes run_in_graph_mode_only test_main RunInGraphAndEagerTest next_checkpoint HookContext create_hooks is_cloud_async_distributed create_session_config set_random_seed create_experiment_fn restore_checkpoint create_experiment T2TExperiment create_run_config create_estimator next_undecoded_checkpoint TrainerLibTest UpdateOpsHook import_usr_dir main create_gif get_target_and_output_filepatterns stack_data_given_key compute_all_metrics_statistics save_results file_pattern compute_one_decoding_video_metrics compute_and_save_video_metrics load_videos psnr_and_ssim get_zipped_dataset_from_png_files compute_video_metrics_from_predictions load_image_map_function reduce_to_best_decode compute_video_metrics_from_png_files get_zipped_dataset_from_predictions VideoMetricsTest YellowFinOptimizer YellowFinTest show resize _get_attention _show_attention get_att_mats AttentionVisualizer build_model VisualizationTest get_data_dir problem available problem available ProblemsTest main main create_surrogate_run_config prepare_data main create_attack_params create_surrogate_hparams create_attack main main generate_data_in_process generate_data_for_problem set_random_seed main generate_data_for_env_problem generate_data_for_registered_problem decode score_file create_decode_hparams main create_hparams main create_experiment_fn create_student_experiment create_teacher_experiment main main create_pruning_strategy create_pruning_params is_chief run_std_server generate_data maybe_log_registry_and_exit create_hparams save_metadata create_experiment_fn set_hparams_from_args execute_schedule main profile_context create_run_config TrainerTest main reverse_generator_nlplike AlgorithmicAdditionDecimal40 AlgorithmicReverseNlplike8k AlgorithmicProblem AlgorithmicReverseBinary40 zipf_random_sample AlgorithmicIdentityDecimal40 AlgorithmicReverseNlplike32k TinyAlgo AlgorithmicIdentityBinary40 AlgorithmicIdentityVocab95Train20Eval30 AlgorithmicMultiplicationBinary40 AlgorithmicReverseDecimal40 AlgorithmicReverseBinary40Test AlgorithmicShiftDecimal40 random_number_lower_endian zipf_distribution lower_endian_to_number AlgorithmicAdditionBinary40 AlgorithmicSortProblem AlgorithmicMultiplicationDecimal40 number_to_lower_endian ExprNode generate_algebra_simplify_sample algebra_inverse_solve format_sympy_expr algebra_simplify generate_algebra_inverse_sample algebra_inverse random_expr is_in_expr generate_calculus_integrate_sample math_dataset_init random_expr_with_required_var calculus_integrate ExprOp AlgorithmicMathDeepmindAll AlgorithmicMathTest AlgorithmicMathTwoVariables _download_mlu_data AlgorithmicTest Img2imgAllenBrainDim16to16Paint1 _generator Img2imgAllenBrainDim48to64 _get_case_file_paths PIL_Image Img2imgAllenBrainDim8to32 random_square_mask maybe_download_image_dataset Img2imgAllenBrain mock_raw_image TestImageMock mock_raw_data TestMockRawData TestAllenBrain TemporaryDirectory _handle_errors _is_import_err_msg import_modules _get_text_data _collect_data _get_timit timit_generator _get_audio_data AudioEncoder AudioTest BabiQa BabiQaConcat _prepare_babi_data _babi_parser _register_babi_problems _normalize_string FeatureNames _problems_to_register _build_vocab VideoBairRobotPushingWithActions PIL_Image VideoBairRobotPushing Img2imgCeleba ImageCeleba32 Img2imgCeleba64 ImageCeleba ImageCeleba64 ImageCelebaMultiResolution ImageCelebahq256 ImageCelebahq128Dmol ImageCelebahq256Dmol ImageCelebahq128 ImageCifar10PlainGen ImageCifar20PlainGen ImageCifar100PlainGen _get_cifar ImageCifar100Plain8 cifar_generator ImageCifar100Plain ImageCifar10PlainRandomShift ImageCifar20Tune ImageCifar20 ImageCifar10PlainGenFlat ImageCifar10PlainGenDmol ImageCifar20Plain Img2imgCifar100 ImageCifar100Tune Img2imgCifar10 ImageCifar20Plain8 ImageCifar10Plain8 ImageCifar10 ImageCifar10Tune ImageCifar10Plain ImageCifar100 AlgorithmicCipherShift200 AlgorithmicCipherVigenere5 generate_plaintext_random ShiftEncryptionLayer AlgorithmicCipherShift5 encipher_shift encipher_vigenere AlgorithmicCipherVigenere200 _is_match clean_en_xx_pairs _raw_sentences _regex_filter _split_sentences paracrawl_v3_pairs Cloth SummarizeCnnDailymailWikiLMSharedVocab example_splits SummarizeFracCnnDailymailWikiLMSharedVocab64k SummarizeFrac10CnnDailymailWikiLMSharedVocab64k _maybe_download_corpora SummarizeCnnDailymail32k example_generator SummarizeFrac0p1CnnDailymailWikiLMSharedVocab64k SummarizeCnnDailymailWikiLMMultiVocab64k SummarizeFrac2CnnDailymailWikiLMSharedVocab64k SummarizeFrac20CnnDailymailWikiLMSharedVocab64k SummarizeCnnDailymailWikiLMSharedVocab64k SummarizeFrac5CnnDailymailWikiLMSharedVocab64k SummarizeCnnDailymailMulti64kPacked1k SummarizeFrac50CnnDailymailWikiLMSharedVocab64k SummarizeFrac1CnnDailymailWikiLMSharedVocab64k write_raw_text_to_files _story_summary_split Cola ColaCharacters CommonVoiceClean _collect_data CommonVoiceTrainFullTestClean CommonVoice _file_exists _is_relative set_common_voice_length_hparams CommonVoiceNoisy CommonVoiceTest Conll2002NlNer Conll2002Ner Conll2002EsNer generator_samples ProgrammingDesc2codeCpp Desc2CodeProblem ProgrammingDesc2codePy Desc2codeTest DNAEncoder DelimitedDNAEncoder DnaEncoderTest ImageFSNS GithubFunctionDocstring tfrecord_iterator_for_problem generate_lines_for_vocab get_or_generate_tabbed_vocab test_data_filenames generate_dataset_and_shuffle pack_dataset write_records _shuffle_single gunzip_file dev_data_filenames SequencePairPacker get_or_generate_txt_vocab read_records SequencePacker _data_filenames train_data_filenames sharded_name shuffle_dataset SequenceDatasetPacker combined_data_filenames generate_files_distributed pack_examples download_report_hook _pack_with_custom_ops to_example maybe_download shard_filepath outputs_exist make_tmp_dir get_or_generate_vocab_inner tfrecord_iterator maybe_download_from_drive _scan_step_fn generate_files random_deinterleave get_or_generate_vocab GeneratorUtilsTest reference_packing example_generator trim_right GeneticsTest PIL_Image VideoGoogleRobotPushing Observation DummyWorldModelProblem _Noncopyable T2TEnv EnvSimulationProblem T2TGymEnv register_game GymEnvTest TestEnv ParsingIcelandic16k tabbed_parsing_token_generator tabbed_parsing_character_generator ImageImagenet32Gen _at_least_x_are_true imagenet_pixelrnn_generator ImageImagenet64 _flip ImageImagenet224NoNormalization ImageImagenetRescaled preprocess_for_eval _random_crop Img2imgImagenet distorted_bounding_box_crop ImageImagenet32Small _do_scale ImageImagenet256 preprocess_for_train ImageImagenet ImageImagenetMultiResolutionGen ImageImagenet224 ImageImagenet64Gen ImageImagenet32 _normalize _crop imagenet_preprocess_example ImageImagenet64GenFlat _center_crop ImagenetTest ImageLsunBedrooms pil_image _get_lsun make_multiscale_dilated image_generator matplotlib_pyplot image_augmentation cifar_image_augmentation ImageProblem convert_predictions_to_image_summaries image_to_tf_summary_value Image2ClassProblem Image2TextProblem encode_images_as_png random_shift make_multiscale resize_by_area ImageTest SentimentIMDB SentimentIMDBCharacters main LambadaLm LambadaRcControl LambadaRc LambadaLmControl _prepare_lambada_data get_dataset_split _collect_data Librispeech LibrispeechClean LibrispeechNoisy set_librispeech_length_hparams LibrispeechTrainFullTestClean LibrispeechCleanSmall add_librispeech_hparams LanguagemodelLm1b32kPacked _original_vocab _train_data_filenames LanguagemodelLm1bCharactersPacked LanguagemodelLm1bCharacters LanguagemodelLm1b8kPacked _replace_oov _dev_data_filenames LanguagemodelLm1b32k _maybe_download_corpus LanguagemodelLm1b8k LanguagemodelLm1bSentimentIMDB LanguagemodelLm1bMultiNLISubwords LanguagemodelLm1bMultiNLI VideoMovingMnist MSRParaphraseCorpusCharacters MSRParaphraseCorpus ImageTextMsCoco _get_mscoco ImageTextMsCocoMultiResolution mscoco_generator ImageMsCocoTokens32k ImageMsCocoCharacters MscocoTest MultiNLICharacters MultiNLIWikiLMSharedVocab64k MultiNLIText2text _maybe_download_corpora MultiNLIText2textMulti64kPacked1k _example_generator MultiNLISharedVocab MultiNLIWikiLMSharedVocab MultiNLI MultiNLIWikiLMMultiVocab64k MultiProblem flatten_zip_dataset aggregate_task_lm_losses MixingSchedule normalize_example_nlp aggregate_task_losses MultiText2TextProblem linear_interpolation tuplize example_rates_to_pmf step_interpolation epoch_rates_to_pmf get_multi_dataset MultiProblemV2 encode_schedule decode_schedule get_schedule_distribution categorical_case constant_schedule MultiProblemV2Test OcrTest ParaphraseGenerationMsCocoProblem1dCharacters ParaphraseGenerationMsCocoProblem1d ParaphraseGenerationMsCocoProblem2dCharacters ParaphraseGenerationMsCocoProblem ParaphraseGenerationMsCocoProblem2d create_combination ParaphraseGenerationProblem ParaphraseGenerationProblemTest Text2textCopyableTokens TokenTextEncoderOov DatasetSplit _default_hparams Problem problem_hparams_to_features TaskID FeatureInfo _copy_problem_hparams SpaceID _reverse_problem_hparams preprocess_example_common default_model_hparams AudioTimitProblem AudioTimitTokens8kTune ParsingEnglishPtb16k AudioTimitTokens8kTest TestProblem test_problem_hparams ParsingEnglishPtb8k AudioTimitCharactersTune assert_tensors_equal ProblemTest ProgramSearchAlgolisp ProgramSearchAlgolispStub ProgramSearchAlgolispTest CelebaTest GenomicsExpressionGm12878 dataset_generator GeneExpressionProblem GenomicsExpressionCage10 generate_shard_args generate_dataset GenomicsExpressionL262k to_example_dict mnist_common_generator _get_fashion_mnist _extract_mnist_labels ImageMnistTune fashion_mnist_generator ImageMnist _get_mnist ImageFashionMnist _extract_mnist_images mnist_generator _get_token_encoder LanguagemodelPtbCharacters LanguagemodelPtb10k _read_words _maybe_download_corpus _build_vocab TokenTextEncoderTest OneHotClassLabelEncoderTest NativeToUnicodeTest SubwordTextEncoderTest EscapeUnescapeTokenTest TranslateEnfrWmtSmall8k TranslateEnfrWmt8k TranslateEnfrWmt32k TranslateEnfrWmtCharacters TranslateEnfrWmtMulti64k TranslateEnfrWmtSmallCharacters TranslateEnfrWmt32kPacked TranslateEnfrWmtSmall32k TranslateEnfrWmtMulti64kPacked1k TranslateEnfrWmt32kWithBacktranslateEn TranslateEnfrWmt32kWithBacktranslateFr QuestionNLICharacters QuestionNLI QuoraQuestionPairsCharacters QuoraQuestionPairs RTECharacters RTE SavedVisualForesight SciTailSharedVocab SciTailCharacters SciTail _get_or_generate_vocab _get_tokens_and_tags _parse_dataset _download_and_parse_dataset snli_token_generator SpeechRecognitionProblem ByteTextEncoderWithEos SquadText2textMulti64kPacked1k SquadText2text SquadConcatPositioned SquadConcat _generate_examples Squad SquadConcatMulti64k SquadConcatSharedVocab SentimentSSTBinaryCharacters SentimentSSTBinary StanfordNLIWikiLMSharedVocab64k StanfordNLISharedVocab StanfordNLICharacters StanfordNLI StanfordNLIWikiLMSharedVocab StyleTransferModernToShakespeareCharacters StyleTransferProblemShakespeare StyleTransferModernToShakespeare StyleTransferShakespeareToModernCharacters StyleTransferShakespeareToModern StyleTransferProblemShakespeareTest SvaNumberPrediction load_examples SvaLanguageModeling _build_vocab TokenTextEncoder RealEncoder is_unicode _unescape_token OneHotClassLabelEncoder to_unicode_utf8 SubwordTextEncoder to_unicode_ignore_errors to_unicode unicode_to_native ByteTextEncoder native_to_unicode _escape_token ImageEncoder ClassLabelEncoder strip_ids TextEncoder main Text2TextProblem Text2TextRemotedir text2text_txt_tab_iterator Text2textTmpdir Text2textTmpdirTokens text2text_generate_encoded ChoppedTextProblem text2class_txt_iterator txt_and_label_iterator Text2ClassProblem text2text_txt_iterator_with_label TextConcat2ClassProblem Text2SelfProblem txt_line_iterator VocabType DistributedText2TextProblem text2text_txt_iterator text2self_txt_iterator QuestionAndContext2TextProblem text2text_distill_iterator FakeDistributedProblemNotPerSplit DistributedText2TextProblemsTest FakeDistributedProblem Test1 TextProblems TimeseriesToyProblem TimeseriesProblem TimeseriesSyntheticDataSeries10Samples100k TimeseriesToyProblemNoInputs generate_data TimeseriesDataGeneratorTest TimeseriesTest decode vocab_token_counts corpus_token_counts _read_filepattern encode TestTokenCounts TokenizerTest ReverseSequence CopySequence ReverseSequenceSmall TransductionProblem FlipBiGramSequence CopySequenceSmall TransductionProblem compute_bleu_summaries TranslateProblem _preprocess_sgm _tmx_to_source_target TranslateDistillProblem _clean_sentences compile_data TranslateEncsWmtCharacters TranslateEncsWmt32k TranslateEndeWmtPc32k TranslateEndeWmtPcClean32k TranslateEndeWmt8k TranslateEndeWmtCharacters TranslateEnde2018Wmt32k TranslateEndeWmt32kPacked TranslateEndeWmtClean32k TranslateEndeWmtCleanPc32k TranslateEndeWmtCleanPcClean32k TranslateEndeWmtMulti64k TranslateEndePcClean32k TranslateEndeWmt32k TranslateEndeWmtMulti64kPacked1k TranslateEndeWmt8kPacked TranslateEndePc32k TranslateEndeTest TranslateEnesWmt8k TranslateEnesWmtClean32k TranslateEnesWmtCharacters TranslateEnesWmt8kPacked TranslateEnesWmt32k TranslateEnesWmt32kPacked TranslateEnetWmtCharacters TranslateEnetWmt32k TranslateEnidIwslt32k TranslateEnmkSetimes32k TranslateEnmkSetimesCharacters TranslateEnroWmtMultiTiny64kPacked1k TranslateEnroWmtCharacters TranslateEnroWmt32k TranslateEnroWmtMultiSmall64k TranslateEnroWmtMultiTiny64k TranslateEnroWmtMulti64k TranslateEnroWmt8k TranslateEntnRma TranslateEnviIwslt32k TranslateEnzhWmt32k get_filename TranslateEnzhWmt8k TranslateTest VideoStochasticShapes10k VideoProblem debug_video_writer_factory VideoProblemOld Video2ClassProblem summarize_video_metrics convert_videos_to_summaries create_border video_augmentation display_video_hooks VideoAugmentationProblem resize_video_frames VideoUtilsTest ImageVqav2Tokens10kLabels3k ImageVqav2RcnnFeatureTokens10kLabels3k _get_vqa_v2_image_raw_dataset _get_vqa_v2_image_feature_dataset _get_vqa_v2_annotations ImageQuestion2MultilabelProblem _flip _aspect_preserving_resize _distort_color _apply_with_random_selector vqa_v2_preprocess_image _smallest_size_at_least _mean_image_subtraction LanguagemodelWikiNorefV8kL1k LanguagemodelWikiXmlV8kL1k _page_to_text LanguagemodelWikiScrambleL128 _remove_double_brackets LanguagemodelWikiXmlV8kL4k _dump_to_pages _page_to_title _find_and_replace LanguagemodelWikiNorefV32kL16k LanguagemodelWikiScramble _remove_references LanguagemodelWikiScrambleL1k _remove_triple_quotes LanguagemodelWikiNorefV8kL16k LanguagemodelWikiNorefV32kL1k LanguagemodelWikiNorefV128kL1k LanguagemodelWikitext103 LanguagemodelWikitext103L16k _maybe_download_corpus LanguagemodelWikitext103L4k LanguagemodelWikitext103Characters _build_vocab mix_generators LanguagemodelEnWiki32k LanguagemodelFrWiki64k LanguagemodelRoWiki32k LanguagemodelRoWiki64k LanguagemodelDeEnFrRoWiki64k LanguagemodelFrWiki32k LanguagemodelEnWiki64k LanguagemodelDeEnFrRoWiki64kFitbPacked1k LanguagemodelDeWiki32k LanguagemodelEnWiki64kShorter LanguagemodelDeWiki64k concat_generator LanguagemodelMultiWikiTranslate LanguagemodelEnWikiLMSummarizeFrac2CnndmSubwords64k LanguagemodelEnWikiLMSummarizeFrac10CnndmSubwords64k LanguagemodelEnWikiLMSummarizeCnndmSubwords LanguagemodelEnWikiLMMultiNLISubwords LanguagemodelMultiWikiTranslatePacked1k LanguagemodelEnWikiLMSummarizeFrac50CnndmSubwords64k LanguagemodelEnWikiLMSummarizeFrac20CnndmSubwords64k LanguagemodelEnWikiLMShortMultiNLISubwords64k LanguagemodelEnWikiLMMultiNLISubwords64k LanguagemodelMultiWikiTranslateFr LanguagemodelEnWikiLMSummarizeFrac5CnndmSubwords64k LanguagemodelEnWikiLMSummarizeCnndmSubwords64k LanguagemodelEnWikiLMSummarizeFrac1CnndmSubwords64k LanguagemodelEnWikiLMSquadConcatSubwords LanguagemodelEnWikiLMMultiNLISubwordsV2 LanguagemodelMultiWikiTranslatePacked1kV2 WikiRevision WikiRevisionPacked1k WikiRevisionPacked256 _remove_double_brackets get_text corpus_page_generator introduce_errors get_title maybe_copy_file_to_directory _remove_references all_corpus_files include_revision corpus_files_for_shard get_id _find_and_replace _remove_triple_quotes get_or_generate_vocabulary strip_text _remove_curly_braces get_encoder_from_vocab file_page_generator vocab_filename edit_distance_filter _remove_boring_lines fast_match_sequences get_revisions parse_page throw_empty_pairs WinogradNLICharacters WinogradNLI parsing_token_generator WsjParsing words_and_tags_from_wsj_tree token_generator SentimentYelpFullCharacters SentimentYelpFull SentimentYelpPolarityCharacters SentimentYelpPolarity PackSequencesOpsTest SubwordTextEncoderOpsTest main main main get_urls_per_shard write_ref_content get_urls_for_shard_group make_tfrecord_writer shard mp_get_text make_example_from_ref text_extraction_callback encode main concat_tfrecord_files get_urls_for_shard tfrecord_fname get_text_from_html _soup_strings create_instance safe_socket launch_instance remote_run list_vm_names_and_ips wait_for_ssh default_zone shell_run_with_retry delete_instance main main WETHeader DummyPool wet_records_from_url WETRecord wet_records_from_file_obj DummyResult shard gzip_memfile wet_download_urls wet_records filter_paragraph timing download readahead UtilsTest _get_testdata aggregate_stats validate_data_files filename_to_task_id main get_length WikisumWeb extract_references_from_wets _references_content WikipediaSection produce_examples _wiki_articles _references_files_by_shard _normalize_text rank_reference_paragraphs WikisumBase _make_example_from_record WikisumCommoncrawl _truncate_to_lead_section WikipediaArticle _encode_wiki_sections make_ref_shard_files _wiki_urls_for_shard _format_title _shard_id_for_file _token_counts WikisumWebLeadSection _process_folders WikisumCommoncrawlLeadSection _tokens_to_score EnvProblem play_env_problem_randomly play_env_problem_with_policy done_indices EnvProblemUtilsTest GymEnvProblem GymEnvProblemTest gym_space_encode discrete_space_spec box_space_spec gym_space_spec cardinality GymSpacesUtilsTest ReacherEnvProblem ReacherEnvProblemTest RenderedEnvProblem RenderedEnvProblemTest get_reward_and_done DummyPolicyProblemTTT encode_pos get_open_spaces TicTacToeEnv register decode_pos TicTacToeEnvProblem TicTacToeEnvProblemTest TicTacToeEnvTest TimeStep TimeStepTest BatchTrajectory Trajectory TrajectoryTest BatchTrajectoryTest Graph Vertex Edge QueryProcessor main NumpySerializationFix DebugFrontendApplication sequence_key topk_watch_fn TransformerModel scores_filter seq_filter serialize Positive deserialize get serialize get TrainableHeNormal ScaledNormalStdDev TrainableHalfCauchy TrainableGlorotNormal TrainableNormal _compute_fans deserialize InitializersTest LogUniformKLDivergence serialize get NormalKLDivergence deserialize HalfCauchyKLDivergence RegularizersTest DiscretizationTest lengths_to_area_mask dot_product_area_attention _pool_one_shape compute_area_features _compute_sum_image basic_pool compute_area_key AreaAttentionTest NCPNormalPerturb MixtureLogistic smart_constant_value LSTMCellReparameterization Conv2DReparameterization DenseVariationalDropout NCPNormalOutput Conv2DVariationalDropout DenseFlipout Conv2DHierarchical DenseHierarchical Conv2DFlipout DenseDVI DenseReparameterization add_weight soft_relu NCPCategoricalPerturb LSTMCellFlipout get_moments BayesTest layers combine_last_two_dimensions reshape_range masked_dilated_self_attention_1d masked_local_attention_2d combine_heads_nd dot_product_unmasked_self_attention_relative_2d _make_local_block sparse_dot_product_attention_truncated causal_attention_bias_nd grouped_attention_multihead attention_bias_same_segment masked_local_attention_1d get_shifted_center_blocks add_timing_signal_nd attention_bias_ignore_padding _split_along_width local_expert_attention split_heads_nd select_block_for_decode_step sparse_dot_product_attention dilated_self_attention_1d right_shift_blockwise_nd matmul_with_relative_keys put_back_blocks_nd get_relative_embeddings_left _extract_blocks scatter_blocks_2d get_2d_local_memory_v2 large_compatible_negative dot_product_unmasked_attention_local_2d_tpu_simple dot_product_attention_relative parameter_attention break_into_blocks_nd combine_heads_2d _relative_position_to_absolute_position_unmasked get_item_at_decode_step scaled_dot_product_attention_simple multihead_attention ffn_self_attention_layer harden_attention_weights get_relative_embeddings_left_right add_layer_timing_signal_learned_1d split_heads_2d _relative_attention_inner get_layer_timing_signal_sinusoid_1d pad_to_multiple_nd combine_heads _absolute_position_to_relative_position_unmasked add_positional_embedding_nd add_positional_embedding break_into_memory_blocks_nd attention_bias_local dot_product_self_attention_relative_v2 attention_bias_batch gather_indices_2d masked_relative_local_attention_1d add_timing_signal_1d_given_position conv_elems_1d map_fn_switch _generate_relative_positions_embeddings deconv_elems_1d local_reduction_attention pad_to_multiple_2d attention_bias_lower_triangle get_layer_timing_signal_learned_1d split_last_dimension multihead_attention_2d self_attention_expert mixed_precision_is_enabled multihead_attention_nd multihead_self_attention_reduced put_item_in_decode_step attention_bias_prepend_inputs_full_attention add_timing_signal_1d embedding_to_padding attention_bias_to_padding _relative_position_to_absolute_position_masked _absolute_position_to_relative_position_masked add_layer_timing_signal_sinusoid_1d masked_local_attention_nd right_shift_blockwise LshGating compute_qkv _get_left_right_blocks attention_bias_proximal add_standard_attention_hparams encoder_decoder_attention_loss dot_product_single_head reshape_by_blocks get_standardized_layers coordinate_tensor gather_blocks_2d dot_product_attention dot_product_unmasked_attention_local_2d_tpu local_attention_2d unflatten_blocks_nd multihead_self_attention_memory_efficient make_edge_vectors padding_to_length dot_product_unmasked_self_attention_relative_v2 combine_first_two_dimensions attention_image_summary decode_step_to_index _matmul_with_relative_keys_2d get_2d_local_memory maybe_upcast dot_product_batched_head flatten_blocks_nd get_timing_signal_1d matmul_with_relative_values masked_within_block_local_attention_1d expert_dot_product gather_dilated_memory_blocks local_attention_1d get_memory_region split_heads _generate_relative_positions_matrix make_2d_block_raster_mask compute_attention_component CommonAttentionTest compute_mel_filterbank_features add_delta_deltas basic_params1 RangedHParams basic_range1 basic_moe_range prepare_encoder local_within_block_attention add_pos_signals maybe_reshape_4d_to_3d prepare_image dilated_attention_1d create_output local_global_attention get_self_attention_bias transformer_encoder_layers get_channel_embeddings prepare_decoder AttentionType postprocess_image local_attention_1d DistributionType transformer_decoder_layers encdec_attention_1d ffn_layer get_dilated_1d_attention_mask local_attention_2d full_self_attention CommonImageAttentionTest underlying_variable layers smoothing_cross_entropy_factored sparse_equals_constant split_to_discretized_mix_logistic_params targeted_dropout sparse_eye list_product conv_hidden_relu gather check_nonnegative kl_divergence maybe_zero_out_padding inverse_lin_decay to_float mask_from_embedding subseparable_conv_block _convert_factored_tensor_to_tensor expand_squeeze_to_nd running_global_pool_1d shakeshake conv_stride2_multistep conv_relu_conv double_discriminator layer_norm nalu brelu top_1_tpu mask_pos_lt saturating_sigmoid conv_gru mix conv_block is_xla_compiled cyclegan_upsample hard_tanh conv1d_block conv_lstm dense_relu_dense smoothing_cross_entropy recompute_grad add_timing_signal weights_nonzero shakeshake2 inverse_sigmoid_decay cast_like group_norm layer_norm_vars WeightNorm smoothing_cross_entropy_factored_grad mask_pos_gt gated_linear_unit_layer sru shakeshake2_grad sparse_expand_dims padded_cross_entropy discretized_mix_logistic_loss sample_with_temperature mean_with_attention weights_all fn_device_dependency subseparable_conv sliced_gan_loss unit_targeting top_kth_iterative fn_with_custom_grad summarize_video inverse_exp_decay make_even_size approximate_split convert_real_to_rgb instance_norm tpu_safe_image_summary _weights_one_third underlying_variable_ref dense conv_hidden_relu_memory_efficient convert_rgb_to_real general_conv shakeshake2_indiv_grad convert_rgb_to_symmetric_real l2_norm single_discriminator argmax_with_score conv_internal separable_conv_block linear_set_layer layer_postprocess layer_prepostprocess pool cumsum nac shakeshake2_eqgrad weight_targeting ravanbakhsh_set_layer tpu_conv1d shakeshake2_py reshape_like_all_dims td_conv get_timing_signal shakeshake2_indiv dense_dropconnect convert_gradient_to_tensor conv_block_internal conv1d should_generate_summaries sparse_add_constant layer_preprocess pad_with_zeros zero_add embedding weights_concatenated dropout_with_broadcast_dims shift_right_3d deep_discriminator weights_multi_problem_all separable_conv pad_to_same_length shape_list sepconv_relu_sepconv batch_dense deconv_stride2_multistep relu_density_logit belu apply_norm CumsumprodCell fn_device_dependency_dict conv standardize_images length_from_embedding lrelu flatten4d3d weights_prepend_inputs_to_targets global_pool_1d conv_block_downsample FactoredTensor _recompute_grad log_prob_from_logits hard_sigmoid patch_discriminator index_last_dim_with_indices weights_multi_problem_input weights_multi_problem shakeshake2_equal_grad layer_norm_compute dml_loss sru_with_scan padded_cross_entropy_factored apply_spectral_norm comma_separated_string_to_integer_list _fn_with_custom_grad gelu ones_matrix_band_part shift_right_2d shift_right upscale noam_norm gru_feedfwd diagonal_conv_gru dropout_no_scaling reshape_like sample_from_discretized_mix_logistic mask_leq RecomputeTest FnWithCustomGradTest CommonLayersTest ffmpeg_works lstm_cell WholeVideoWriter encode_to_shape VideoWriter scheduled_sample_prob vgg_layer BatchWholeVideoWriter IndividualFrameWriter scheduled_sample_count get_gaussian_tensor extract_random_video_patch py_gif_summary inject_additional_input dna_transformation basic_lstm conv_latent_tower decode_to_shape cdna_transformation _encode_gif tile_and_concat gif_summary tinyify conv_lstm_2d beta_schedule swap_time_and_batch_axes CommonVideoTest int_to_bit_embed gumbel_softmax_nearest_neighbor_dvq gumbel_softmax_discrete_bottleneck predict_bits_with_lstm discrete_bottleneck tanh_discrete_unbottleneck parametrized_bottleneck project_hidden vq_nearest_neighbor get_vq_codebook vq_loss isemhash_bottleneck iaf_hparams gumbel_sample embedding_lookup bit_to_int int_to_bit vq_discrete_unbottleneck slice_hidden vq_discrete_bottleneck vq_body parametrized_unbottleneck nearest_neighbor vae tanh_discrete_bottleneck isemhash_unbottleneck gumbel_softmax top_k_softmax embed Zeros LinearKernel BayesianLinearModel batch_mlp GaussianProcess ExponentiatedQuadratic uniform_attention laplace_attention dot_product_attention multihead_attention SparseGaussianProcess NeuralProcess Attention train_neural_process GaussianProcessTest NeuralProcessTest compress_self_attention_layer compress_encoder_2d transformer_latent_decoder compress_encoder compress_encoder_1d residual_block_layer iaf_flow transformer_image_decoder ae_latent_softmax ae_latent_sample_beam transformer_text_encoder decompress_decoder_2d compute_nats_and_bits_per_dim latent_prediction_model decompress_decoder_1d bottleneck_layer transformer_autoencoder decompress_decoder multinomial_sample imagetransformer_latent_tiny LatentLayersTest make_edge_vectors ggnn_fast_dense compute_mpnn_qkv compute_values graph_attention sparse_message_pass_batched _compute_edge_transforms multihead_mpnn_attention dot_product_mpnn_attention precompute_edge_matrices sparse_message_pass multihead_graph_attention dense_message_pass video_pixel_noise_bottom image_bottom class_label_bottom video_loss class_label_top video_raw_top generic_l2_loss symbol_one_hot_loss audio_bottom video_identity_loss video_top ctc_symbol_loss real_log_poisson_loss softmax_average_pooling_class_label_top one_hot_class_label_loss softmax_max_pooling_class_label_top ModalityType video_l2_internal_loss image_top symbol_one_hot_top get_targets_bottom audio_spectral_bottom video_identity_bottom image_channel_compress_targets_bottom video_targets_bottom video_l1_internal_loss generic_loss video_l1_top symbol_targets_bottom get_weights identity_bottom real_bottom _symbol_bottom_simple video_bitwise_targets_bottom multi_label_loss video_raw_targets_bottom sigmoid_max_pooling_class_label_loss real_top get_loss get_name video_raw_bottom get_top _image_channel_compress_bottom image_channel_compress_bottom video_bitwise_bottom video_l1_loss video_l2_loss sigmoid_class_label_loss video_identity_targets_bottom get_bottom image_channel_embeddings_bottom speech_recognition_bottom real_l2_loss image_channel_embeddings_top softmax_last_timestep_class_label_top convert_rgb_to_real video_l1_raw_loss identity_top image_channel_compress_top video_bottom get_weights_fn symbol_bottom class_label_targets_bottom make_targets_bottom symbol_top image_targets_bottom sigmoid_max_pooling_class_label_top is_pointwise video_l2_raw_loss symbol_one_hot_bottom ModalityTest NGram NGramTest one_hot_multiply one_hot_add SinkhornAutoregressiveFlow py_multiplicative_inverse one_hot_argmax one_hot_minus create_masks TransformedRandomVariable DiscreteAutoregressiveFlow ActNorm soft_to_hard_permutation Reverse DiscreteBipartiteFlow sinkhorn MADE TransformedDistribution make_masked_constraint multiplicative_inverse create_degrees make_masked_initializer _log_prob ReversibleLayersTest transformer_ffn_layer layers transformer_prepare_encoder transformer_encoder TransformerMemory RecurrentMemory RecentTokensMemory TransformerMemoryTest image_embedding summarize_tensors multihead_attention DiscreteBottleneck Model VideoEvaluationDataset evaluate_model VideoConditionalFvdTest mtf_transformer_paper_tr_0_mesh_8_v2 mtf_transformer_paper_lm_1 mtf_transformer_paper_tr_4 mtf_transformer_tiny mtf_transformer_paper_tr_0_mesh_128 mtf_transformer_paper_lm_0 mtf_transformer_paper_tr_4_mesh_16_8 mtf_transformer_paper_tr_0_a32 mtf_transformer_enc_single mtf_transformer_paper_lm_2 mtf_transformer_paper_tr_0_mesh_8 mtf_transformer_paper_lm_3 mtf_transformer_paper_tr_2 mtf_transformer_paper_tr_6_mesh_64_8 mtf_transformer_paper_lm_5 mtf_transformer_paper_tr_3 mtf_transformer_paper_lm_m1 mtf_transformer_paper_lm mtf_transformer_paper_tr_0_mesh_512 mtf_transformer_paper_tr_1 mtf_transformer_paper_lm_4 mtf_transformer_base_lm mtf_transformer_tiny_8gpu MtfTransformer mtf_transformer_paper_tr_0 mtf_transformer_paper_tr_0_nf mtf_transformer_tiny_denoising mtf_transformer_tiny_lm mtf_transformer_single mtf_transformer_paper_tr mtf_transformer_paper_tr_m1 mtf_transformer_lm_baseline mtf_transformer_base BasicFcRelu basic_fc_small BasicTest residual_dilated_conv bytenet_base ByteNet bytenet_internal ByteNetTest distill_base Distillation distill_resnet_32_to_15_cifar20x5 EvolvedTransformer evolved_transformer_encoder evolved_transformer_big_tpu add_evolved_transformer_hparams _add_attend_to_encoder_cache evolved_transformer_base_tpu evolved_transformer_deep evolved_transformer_base _capped_double_heads _init_evolved_transformer_cache evolved_transformer_decoder evolved_transformer_big get_model EvolvedTransformerTest imagetransformer_bas8l_8h_big_uncond_dr03_imgnet imagetransformer_base_12l_8h_big imagetransformer_cifar_tpu_range imagetransformer_b10l_4h_big_uncond_dr01_tpu imagetransformerpp_base_12l_8h_big_uncond_dr03_dan_k imagetransformerpp_base_5l_8h_big_uncond_dr00_dan_g_bs1 imagetransformer_base_tpu imagetransformer_base_8l_8h_big_cond_dr03_dan_128 imagetransformerpp_base_12l_8h_big_uncond_dr03_dan_m imagetransformer_base_8l_8h_big_cond_dr03_dan_dilated_b imagetransformerpp_base_14l_8h_big_uncond_dr03_dan_p_bs1 ImagetransformerMoe update_hparams_for_tpu imagetransformerpp_tiny imagetransformer_b10l_4h_big_uncond_dr03_lr025_tpu imagetransformer_base_8l_8h_big_cond_dr03_dan imagetransformer_sep_channels_16l_16h_imgnet_lrg_loc_128 imagetransformer_b12l_4h_b256_uncond_dr03_rel_tpu imagetransformer_base_14l_8h_big imagetransformerpp_base_12l_8h_big_uncond_dr03_dan_m_relsh imagetransformer_base_imagenet_tpu imagetransformer_b10l_4h_big_uncond_dr03_tpu imagetransformerpp_base_8l_8h_big_cond_dr03_dan_a imagetransformer_sep_output_channels_8l_local_and_global_att imagetransformerpp_base_5l_8h_dr00_dan_g_bs1_adafactor imagetransformer_sep_channels_16l_16h_imgnet_lrg_loc image_transformer_base imagetransformerpp_base_12l_8h_big_uncond_dr03_dan_m_bs1 imagetransformer_base_8l_8h_big_cond_dr03_dan_dilated_c imagetransformer_sep_channels_12l_16h_imagenet_large imagetransformer_base_10l_16h_big_uncond_dr01_imgnet imagetransformer_base_14l_8h_big_dr01 imagetransformer_base_rel imagetransformer_sep_channels_8l_8h imagetransformerpp_base_10l_8h_big_uncond_dr03_dan_g imagetransformer_base imagetransformer_sep_channels_8l_multipos3 imagetransformer_b12l_8h_b256_uncond_dr03_tpu imagetransformer_b12l_4h_uncond_dr03_tpu imagetransformer_b12l_4h_big_uncond_dr03_tpu imagetransformerpp_sep_channels_8l_8h imagetransformer_sep_channels_8l imagetransformer_base_10l_8h_big_uncond_dr03_dan imagetransformer_b10l_dr03_moe_tpu Imagetransformer imagetransformer_moe_tiny imagetransformer_cifar10_base_dmol imagetransformer_base_8l_8h_big_cond_dr03_dan_dilated imagetransformer_b12l_4h_b128_uncond_dr03_tpu imagetransformer_base_12l_8h_big_uncond imagetransformer1d_base_12l_64by64 imagetransformerpp_base_6l_8h_dr00_dan_g_bs1_adafactor imagetransformer_b12l_4h_b128_h512_uncond_dr01_im imagetransformerpp_base_12l_8h_big_uncond_dr03_dan_m_rel imagetransformer_base_10l_8h_big_cond_dr03_dan imagetransformerpp_base_8l_8h_big_cond_dr03_dan imagetransformer_base_8l_8h_big_cond_dr03_dan_dilated_d imagetransformerpp_base_10l_8h_big_uncond_dr03_dan_b imagetransformer_base_10l_8h_big_uncond_dr03_dan_64 imagetransformer_tiny_tpu imagetransformer_imagenet32_base imagetransformerpp_base_10l_8h_big_uncond_dr03_dan imagetransformer_tiny imagetransformer_b12l_4h_b128_h512_uncond_dr03_tpu imagetransformer_b12l_4h_big_uncond_dr03_lr025_tpu imagetransformerpp_base_10l_8h_big_uncond_dr03_dan_a imagetransformer1d_base_8l_64by64 imagetransformer_base_14l_8h_big_uncond imagetransformerpp_base_12l_8h_big_uncond_dr03_dan_l imagetransformer_sep_channels_8l_8h_local_and_global_att imagetransformer_b12l_4h_b256_uncond_dr03_tpu imagetransformer_sep_channels_8l_tpu imagetransformerpp_base_14l_8h_big_uncond_dr03_dan_p imagetransformer_cifar10_base imagetransformer_base_10l_16h_big_dr01_imgnet imagetransformer_sep_channels imagetransformerpp_base_14l_8h_big_uncond_dr03_dan_eval imagetransformer_base_10l_16h_big_dr01_moe_imgnet imagetransformer2d_base_14l_8_16_big_uncond img2img_transformer_tiny imagetransformer2d_base_8l_8_16_big_16k img2img_transformer_b3_bs6 imagetransformer_base_10l_8h_big_uncond_dr03_dan_64_2d img2img_transformer_b3_bs4 img2img_transformer_b3_bs1 image_transformer2d_base imagetransformer2d_base_8l_8_32_big img2img_transformer_b2 img2img_transformer_b3_bs9 imagetransformer2d_base_8l_8_16_ls img2img_transformer2d_tiny imagetransformer2d_base_8l_8_16 imagetransformer2d_tiny img2img_transformer_dilated update_hparams_for_tpu imagetransformer2d_base img2img_transformer_base_tpu img2img_transformer2d_n103 img2img_transformer_base img2img_transformer_b3_bs8 img2img_transformer_b3_bs10 img2img_transformer2d_n24 imagetransformer2d_base_12l_8_16_big img2img_transformer2d_q1 img2img_transformer2d_n44 Img2imgTransformerBlockParallel img2img_transformer_b1 img2img_transformer2d_n3 imagetransformer2d_base_14l_8_16_big Img2imgTransformer imagetransformer2d_base_12l_8_64_64by64 img2img_transformer_tiny_tpu img2img_transformer_b3_bs7 img2img_transformer2d_q3 Imagetransformer2d imagetransformer2d_base_8l_8_64_64by64 img2img_transformer2d_base img2img_transformer_b3 imagetransformer2d_base_8l_8_16_big img2img_transformer2d_q2 img2img_transformer_b3_bs3 img2img_transformer2d_n31 img2img_transformer_b3_bs2 img2img_transformer_b3_bs5 Img2imgTransformerTest Imagetransformer2dTest ImagetransformerTest lstm_bahdanau_attention_multi lstm_seq2seq lstm_seq2seq_internal_attention_bid_encoder lstm_luong_attention_multi lstm_bid_encoder lstm LSTMSeq2seqAttentionBidirectionalEncoder lstm_area_attention_enfr lstm_area_attention_base lstm_area_attention_char lstm_seq2seq_internal_attention LSTMSeq2seqBidirectionalEncoder lstm_luong_attention lstm_seq2seq_internal lstm_attention lstm_attention_base lstm_bahdanau_attention LSTMSeq2seq lstm_area_attention_char_enfr _dropout_lstm_cell lstm_attention_decoder lstm_asr_v1 LSTMEncoder lstm_seq2seq_internal_bid_encoder LSTMSeq2seqAttention LSTMTest local_attention1d_masked_decoder mtf_image_transformer_base_cifar local_attention2d_spatial_decoder mtf_image_transformer_base_imagenet_mp128 layer_prepostprocess_dropout mtf_image_transformer_tiny_8gpu mtf_image_transformer_single mtf_image_transformer_base_imagenet mtf_image_transformer_base_imagenet_mp mtf_image_transformer_tiny mtf_image_transformer_cifar_4x mtf_image_transformer_base_imagenet_mp64 MtfImageTransformer mtf_image_transformer_tiny_spatial2d mtf_image_transformer_base mtf_image_transformer_tiny_spatial1d mtf_image_transformer_cifar_mp_4x mtf_image_transformer_base_single local_attention1d_spatial_decoder mtf_image_transformer_base_imagenet_mp_sp mtf_image_transformer_length_sharded MtfImageTransformerTest get_model get_placement_mesh mtf_resnet_tiny MtfResNet mtf_resnet_base_cifar mtf_resnet_single batch_norm_relu mtf_resnet_base block_layer bottleneck_block mtf_resnet_base_single moe_2d_layer mtf_bitransformer_all_layers_tiny self_attention_layer mtr_lm_v1 mtr_tr_dense_1 mtr_tr_dense_0_h4 mtr_tr_dense_0_h1_16 mtr_tr_dense_0_extra_logit mtr_tr_dense_0_h1_8 mtr_tr_dense_0_shared_kv mtr_tr_ende_v0 local_self_attention_layer mtf_unitransformer_tiny mtr_tr_dense moe_1d_layer mtr_lm_dense_0 mtr_tr_dense_local_0_h1_8_kv256 attention_kwargs_from_hparams mtr_lm_dense_1 mtr_tr_dense_0_h16 mtr_tr_ende_deep mtr_lm_dense_3 mtr_tr_dense_local mtf_unitransformer_all_layers_tiny layer_stack_from_hparams MtfBitransformer mtr_lm_dense_2 mtr_lm_dense MtfUnitransformer mtr_tr_dense_local_0_h1_16_shared mtf_bitransformer_tiny mtr_lm_dense_0_h1_16 mtr_tr_dense_local_0 mtr_tr_enfr_v0 mtr_tr_dense_3_fast mtr_tr_dense_local_0_h1_16_shared_kv mtr_tr_dense_0_h2_16 enc_dec_attention_layer mtr_tr_dense_local_0_w8 mtr_tr_dense_3 mtr_lm_v1_h1_8 mtr_tr_dense_2 dense_relu_dense_layer mtr_tr_dense_0_h1_1 mtr_tr_dense_0 mtf_transformer2_base mtr_tr_dense_3_88 mtf_unitransformer_base mtf_bitransformer_base mtr_tr_dense_local_0_h1_16 get_model get_placement_mesh MtfTransformerTest NeuralGPU neural_gpu neural_gpu_body DiagonalNeuralGPU diagonal_neural_gpu NeuralGPUTest layers resnet_weight resnet_18 resnet_imagenet_102 resnet_cifar_32_td_weight_05_05 resnet_cifar_32_td_unit_no_drop conv2d_fixed_padding batch_norm_relu resnet_base resnet_random resnet_unit resnet_101 resnet_cifar_32_td_unit_05_05 Resnet resnet_152 resnet_imagenet_34_td_unit_05_05 bottleneck_block resnet_cifar_32 resnet_fgsm resnet_cifar_15 resnet_imagenet_34_td_weight_05_05 resnet_madry fixed_padding block_layer resnet_200 resnet_imagenet_34 resnet_50 resnet_v2 residual_block resnet_imagenet_34_td_unit_no_drop resnet_34 resnet_tiny_cpu ResnetTest revnet unit Revnet revnet_cifar_base revnet_38_cifar revnet_104 revnet_range f revnet_110_cifar revnet_164_cifar final_block downsample_residual init wrapped_partial revnet_base downsample_bottleneck RevnetTest shake_shake_branch shakeshake_big shake_shake_fgsm ShakeShake shake_shake_skip_connection shake_shake_layer shakeshake_tpu shakeshake_small shake_shake_block shake_shake_quick embed_target_space multi_conv_res slicenet_internal SliceNet slicenet_range1 slicenet_middle slicenet_params1_tiny embedding_to_padding slicenet_params1_noam slicenet_params1 similarity_cost attention rank_loss SliceNetTest text_cnn_base TextCNN transformer_ada_lmpackedbase transformer_dr0 transformer_relative transformer_base_v1 TransformerMemory transformer_tiny_tpu transformer_prepare_decoder transformer_topk_16_packed transformer_big_single_gpu transformer_big_enfr update_hparams_for_tpu transformer_h1 fast_decode_tpu transformer_tiny transformer_tall_pretrain_lm_tpu_adafactor_large transformer_relative_tiny transformer_clean transformer_base_vq_ada_32ex_packed transformer_base_single_gpu transformer_parsing_base TransformerRegressor transformer_base_v3 transformer_big_enfr_tpu transformer_base_range transformer_l8 TransformerEncoder transformer_clean_big transformer_mlperf_tpu transformer_l4 transformer_packed_tpu transformer_base_v2 transformer_imagenet64_memory_v0 transformer_librispeech_v2 transformer_l10 transformer_timeseries TransformerScorer transformer_ada_lmpackedbase_dialog transformer_supervised_attention transformer_base transformer_tiny_tpu_range transformer_base_multistep8 transformer_parsing_ice transformer_small_tpu transformer_base_vq1_16_nb1_packed_nda_b01_scales transformer_tall transformer_librispeech_tpu_v2 transformer_tpu_range transformer_base_vq1_16_nb1_packed_nda_b01_scales_dialog transformer_l2 transformer_parsing_big transformer_decoder transformer_tall_big transformer_small transformer_h4 transformer_tall_finetune_tied transformer_tpu_bf16_activation transformer_lm_tpu_1 transformer_test transformer_h16 transformer_tall_finetune_uniencdec transformer_big transformer_wikitext103_l4k_memory_v0 transformer_big_tpu transformer_tpu_with_conv transformer_timeseries_tpu transformer_ada_lmpackedbase_relative transformer_prepend_v1 transformer_clean_big_tpu fast_decode _init_transformer_cache transformer_librispeech_v1 transformer_tall_pretrain_lm_tpu transformer_parameter_attention_b transformer_tall_pretrain_lm transformer_hs256 transformer_common_voice_tpu transformer_encode transformer_base_vq1_16_nb1_packed_dan_b01_scales transformer_wikitext103_l16k_memory_v0 transformer_tall_train_uniencdec transformer_parameter_attention_a transformer_k128 transformer_prepend_v2 transformer_h32 transformer_librispeech transformer_relative_big transformer_lm_tpu_0 transformer_decoder_layer transformer_big_dr1 transformer_tall_finetune_textclass transformer_common_voice features_to_nonpadding transformer_big_dr2 transformer_ls0 transformer_tall_train_tied Transformer transformer_librispeech_tpu_v1 transformer_tpu_1b transformer_k256 transformer_decode transformer_ff4096 transformer_tpu transformer_librispeech_tpu transformer_cifar10_memory_v0 transformer_dr2 transformer_hs1024 transformer_prepend transformer_ls2 transformer_fairseq_fp16_activation_big transformer_ff1024 transformer_wikitext103_l4k_v0 transformer_tall_pretrain_lm_tpu_adafactor get_model TransformerScorerTest TransformerTest lrelu SlicedGan sliced_gan deconv2d AbstractGAN reverse_gradient xception_base xception_entry xception_tiny xception_exit xception_internal residual_block Xception xception_tiny_tpu XceptionTest model LayerRegisteredError IdentityLayer AttendToEncoderLayerBase SeparableConvLayer DepthwiseConvLayer LightweightConvLayer calculate_depthwise_channel_multiplier TranslationLayer StandardConvLayer DilatedConvLayer AttendToEncoderTopDownLayer GatedLinearUnitLayer AttentionLayer register_encoder_decoder_layer ConvLayerBase LayerRegistry _create_nonpadding_list LayersTest _get_empirical_parameters _zero_after_index_copy _apply_decoder_layer _apply_encoder_layer _pad_shallow_tensors _apply_nas_branch calculate_branching_model_parameters CombinerFunction nas_seq2seq_base should_alter_output_dim NasSeq2Seq nas_encoder nas_decoder _apply_layer_norm MultiplyCombiner ConcatCombiner get_activation_names apply_nas_layers AddCombiner _list_product _get_transformer_branching_encoder_config NasSeq2SeqTest _get_transformer_branching_decoder_config _add_transformer_branching_hparams transformer_moe_layer_v1 _split_into_groups _top_2_gating set_default_moe_hparams transformer_moe_layer_v2 afx_pow08_clip mimic_adam_with_adafactor afx_factored afx_pow05 afx_unscale_relative afx_small_p16 afx_small_p10 afx_small_p12 afx_clip_factored afx_small_p11 afx_adam afx_small_bfloat16 afx_clip2 afx_pow08 afx_pow10 afx_relative afx_small afx_mimic_adam afx_fast afx_clip afx_unscale afx_adafactor afx_base afx_small_p8 aligned_pos_emb Aligned aligned_local_1k aligned_grouped aligned_no_att aligned_pseudolocal_256 aligned_base aligned_8k aligned_memory_efficient aligned_local aligned_8k_grouped _should_preprocess aligned_local_expert aligned_moe _should_postprocess get_batch_coordinate aligned_no_timing aligned_lsh aligned_pseudolocal attention_lm_small attention_lm_prepare_decoder attention_lm_translation attention_lm_decoder AttentionLM attention_lm_translation_full_attention attention_lm_translation_l12 attention_lm_base attention_lm_moe_memory_efficient attention_lm_moe_small attention_lm_moe_base_memeff attention_lm_16k attention_lm_moe_large restore_pad attention_lm_moe_32b_diet attention_lm_12k remove_pad AttentionType attention_lm_hybrid_v2 attention_lm_moe_large_diet attention_lm_moe_base_ae attention_lm_moe_translation AttentionLmMoe attention_lm_moe_base_long_seq attention_lm_moe_tiny expand_batch_coordinates attention_lm_moe_24b_diet attention_lm_attention_moe_tiny attention_lm_moe_prepare_decoder get_batch_coordinate attention_lm_moe_base attention_lm_moe_base_hybrid attention_lm_moe_base_local attention_lm_no_moe_small attention_lm_ae_extended attention_lm_moe_unscramble_base attention_lm_11k autoencoder_ordered_discrete_hs256 autoencoder_ordered_discrete_vq autoencoder_ordered_text_small AutoencoderOrderedDiscrete AutoencoderBasic autoencoder_discrete_tiny time_to_channels autoencoder_autoregressive autoencoder_stacked autoencoder_ordered_discrete_single reverse_gradient autoencoder_residual_discrete_big autoencoder_ordered_text AutoencoderDualDiscrete AutoencoderResidualDiscrete autoencoder_residual_text autoencoder_ordered_discrete_patched AutoencoderAutoregressive autoencoder_discrete_pong_range autoencoder_residual_discrete autoencoder_basic autoencoder_ordered_discrete_image64 AutoencoderBasicDiscrete AutoencoderStacked autoencoder_basic_discrete autoencoder_discrete_cifar AutoencoderResidual autoencoder_residual autoencoder_discrete_pong autoencoder_ordered_discrete AutoencoderResidualVAE autoencoder_range AutoencoderTest generator CycleGAN cycle_gan_internal lossfn cycle_gan_small discriminator split_on_batch conv_layer gene_expression_conv_base fc_layer GeneExpressionConv GeneExpressionModelsTest gene_expression_conv_test glow_hparams Glow GlowInitHook get_eps invertible_1x1_conv revnet scale_gaussian_prior top_prior add_edge_bias actnorm assign conv uniform_binning_correction actnorm_scale dilated_conv_stack single_conv_dist actnorm_center temporal_latent_to_dist squeeze latent_to_dist default_initializer affine_coupling linear_interpolate_rank linear_interpolate merge_level_and_latent_dist noise_op get_dropout get_dilation_rates get_variable_ddi time_pad TemperedNormal postprocess check_cond_latents revnet_step get_cond_latents_at_level encoder_decoder conv_block set_eps level_cond_prior actnorm_3d conv_stack additive_coupling compute_prior split GlowOpsTest GlowModelTest lmx_h2k_f8k lmx_moe_h1k_f4k_x32 lmx_h1k_f64k lmx_base lmx_h1k_f4k lmx_moe_h1k_f8k_x16 lmx_relative lmx_h4k_f16k lmx_h3k_f12k lmx_relative_nopos lmx_moe xmoe2_dense_2 xmoe2_v1_l4k_compressed_c8 xmoe_tr_dense_2k xmoe_dense_8k xmoe_tr_2d xmoe2_tiny xmoe2_v1 denoise_m30 xmoe2_v1_l4k xmoe_tr_dense_32k denoise_t15 xmoe_2d_c15 xmoe2_dense denoise_v1_m50 wiki_2x2_local denoise_z15 denoise_v1_z15 xmoe2_v1_l4k_local_only denoise_dense_2_m30 xmoe2_v1_l4k_compressed_c4 xmoe_2d_x64 denoise_v1_m15 xmoe_top_2 xmoe2_dense_3 xmoe_dense_4k xmoe_tr_1d denoise_v1_t15 xmoe_2d xmoe2_dense_0 xmoe_dense_64k xmoe_top_2_c15 denoise_m15 xmoe2_dense_1 wiki_2x2_base xmoe_2d_debug xmoe2_v1_l4k_global_only wiki_2x2_v1 denoise_v1_m30 xmoe2_v1_x128 mqp_ende_h1_ff6784 mqp_lm1b_h4_kv32_ff9984 mqp_ende_h2_ff6400 mqp_ende_mq8_ff5440 mqp_lm1b_h2_kv64_ff9984 mqp_ende_h4_kv256 mqp_ende_h8_kv16_ff6784 mqp_lm1b_h8_kv16_ff9984 mqp_ende_h4_ff5632 mqp_lm1b_mq8_ff9088 mqp_ende_local mqp_ende_mq8_ff5440_local mqp_ende_h1_kv1024 mqp_ende_base mqp_ende_mq8 mqp_ende_h4_kv32_ff6784 mqp_ende_h2_kv512 mqp_ende_h2_kv64_ff6784 mqp_lm1b_mq8 mqp_lm1b_base mqp_lm1b_h1_ff9984 neural_stack lstm_transduction NeuralQueueCell NeuralQueueModel NeuralStackCell NeuralStackModel NeuralQueueCellTest build_fake_controller NeuralStackCellTest call_fake_controller NeuralStackModelTest ppo_tiny_world_model get_policy ppo_dist_params ppo_original_world_model rlmf_dqn_tiny FeedForwardCnnSmallCategoricalPolicy rlmf_5runs_atari rlmf_eval_dist ppo_discrete_action_base feed_forward_gaussian_fun DenseBitwiseCategoricalPolicy dqn_guess1_rainbow_params rlmf_tiny_overrides dqn_original_params dqn_guess1_params_eval ppo_original_tiny rlmf_5runs ppo_base_v1 make_real_env_fn make_simulated_env_fn dqn_10m_replay_buffer_params FeedForwardCategoricalPolicy ppo_atari_base discrete_random_action_base FeedForwardCnnSmallCategoricalPolicyNew RandomPolicy ppo_pong_ae_base rlmf_dist_threshold ppo_original_params_gamma90 make_simulated_env_kwargs basic_policy_parameters dqn_atari_base ppo_original_params rlmf_base dqn_guess1_params rlmf_tictactoe rlmf_tiny dqn_2m_replay_buffer_params PolicyBase DummyPolicyProblem rlmf_dist ppo_original_world_model_stochastic_discrete rlmf_eval ppo_original_params_gamma95 rlmf_original make_simulated_env_fn_from_hparams rlmf_eval_dist_threshold clip_logits ppo_ttt_params SimilarityTransformer SuperLM super_lm_moe_h4 super_lm_big_tpu super_lm_moe super_lm_moe_4b_diet super_lm_high_mix super_lm_conv super_lm_base _super_stack super_lm_low_mix super_lm_b8k super_lm_big super_lm_tpu_memtest super_lm_tpu shift_and_pad transformer_aux_tiny transformer_aux_base TransformerAux TransformerAuxTest transformer_moe_8k transformer_moe_base transformer_moe_12k transformer_moe_2k transformer_moe_prepend_8k transformer_moe_8k_lm TransformerMoe residual_conv get_latent_pred_loss vq_discrete_unbottleneck TransformerNAT vq_nearest_neighbor compress vq_discrete_bottleneck transformer_nat_big init_vq_bottleneck decode_transformer ae_latent_sample_beam decompress_step transformer_nat_small encode ae_transformer_internal transformer_nat_base transformer_tiny_bs2 transformer_base_bs2 transformer_base_bs6 transformer_base_bs7 transformer_base_bs10 transformer_base_bs3 transformer_big_bs1 transformer_base_bs8 TransformerBlockParallel transformer_base_bs4 transformer_base_bs9 transformer_base_bs1 transformer_tiny_bs3 transformer_base_bs5 transformer_tiny_bs1 transformer_revnet_encoder transformer_revnet_decoder transformer_revnet_big transformer_revnet_base TransformerRevnet transformer_revnet_test TransformerRevnetTest TransformerSketch transformer_sketch transformer_symshard_sh4 transformer_symshard_h4 transformer_symshard_base transformer_symshard_lm_0 TransformerSymshard _layer_stack residual_conv transformer_ae_base_ablation_3 transformer_ae_base_ablation_2 attend transformer_ae_base_iaf transformer_ae_base_ablation_5 transformer_ae_small transformer_ae_base_ablation_1 TransformerAE compress transformer_ae_a3 ae_latent_softmax transformer_ae_base_noatt ae_latent_sample_beam top_k_softmax encode ae_latent_sample transformer_ae_a8 transformer_ae_small_noatt imagetransformer_ae_cifar transformer_ae_base_ablation_4 transformer_ae_base top_k_experts imagetransformer_ae_imagenet decode_transformer decompress_step multinomial_sample transformer_ae_a6 ae_transformer_internal transformer_ae_base_tpu TransformerVaeTest adaptive_universal_transformer_sepconv_tiny universal_transformer_base_fp16 adaptive_universal_transformer_tall adaptive_universal_transformer_tall_actlossw001 adaptive_universal_transformer_global_base_tpu universal_transformer_small universal_transformer_mix_before_ut_base UniversalTransformerEncoder adaptive_universal_transformer_position_random_timing_tiny universal_transformer_position_step_timing_tiny universal_transformer_step_sinusoid_timing_tiny universal_transformer_position_random_timing_tiny universal_transformer_small_dropconnect adaptive_universal_transformer_base_range universal_transformer_highway_base UniversalTransformer adaptive_universal_transformer_with_sru_base universal_transformer_dwa_base universal_transformer_sepconv_tiny universal_transformer_base_range adaptive_universal_transformer_small adaptive_universal_transformer_multilayer_hard adaptive_universal_transformer_mix_before_ut_base adaptive_universal_transformer_concat_tiny update_hparams_for_universal_transformer adaptive_universal_transformer_mix_after_ut_base universal_transformer_sepconv_big universal_transformer_base adaptive_universal_transformer_tall_actlossw0 adaptive_universal_transformer_base_dropout03 universal_transformer_sepconv_base universal_transformer_gru_base universal_transformer_mix_after_ut_base universal_transformer_base_tpu universal_transformer_tall universal_transformer_big adaptive_universal_transformer_base_tpu adaptive_universal_transformer_base adaptive_universal_transformer_global_base universal_transformer_teeny universal_transformer_tiny universal_transformer_lstm_tall adaptive_universal_transformer_multilayer_tpu transformer_teeny universal_transformer_lstm_base adaptive_universal_transformer_base_dropout05 adaptive_universal_transformer_tiny universal_transformer_skip_base UniversalTransformerTest universal_transformer_depthwise_attention universal_transformer_encoder transformer_decoder_ffn_unit universal_transformer_highway fill_memory_slot transformer_encoder_ffn_unit universal_transformer_with_gru_as_transition_function transformer_encoder_attention_unit universal_transformer_skip universal_transformer_with_lstm_as_transition_function universal_transformer_act transformer_decoder_attention_unit add_step_timing_signal universal_transformer_basic add_depth_embedding step_preprocess _ffn_layer_multi_inputs get_ut_layer universal_transformer_layer add_position_timing_signal universal_transformer_decoder vqa_attention_feature_initializer VqaSimpleImageSelfAttention vqa_attention_feature_batch1024 vqa_attention_feature_batch1024_drop01_dna vqa_attention_feature_dnz_noscaledp vqa_attention_feature_batch1024_dnz_noscaledp vqa_attention_drop01_dna vqa_attention_feature_dna mlp vqa_attention_feature_batch1024_numglimps1 question_encoder vqa_attention_base_range vqa_attention_feature_dnz vqa_attention_feature_base vqa_attention_feature_numglimps1 vqa_attention_feature_nonormalization vqa_attention_feature_batch512 vqa_attention_feature_imagefeat512 _get_rnn_cell attn vqa_attention_feature_imagefeat1024 VqaAttentionBaseline vqa_attention_feature_batch1024_drop01_dna_concat vqa_attention_feature_hidden1024 vqa_attention_base vqa_attention_feature_batch1024_drop01 vqa_attention_numglimps1 image_encoder vqa_attention_feature_batch1024_lstmlayernorm vqa_attention_feature_batch1024_dnz vqa_attention_feature_dnz_l2 vqa_attention_feature_lstmlayernorm vqa_attention_feature_batch1024_dnz_l2 VqaAttentionBaselineTest vqa_recurrent_self_attention_highway vqa_recurrent_self_attention_big_l4 vqa_recurrent_self_attention_mix_before_ut recurrent_transformer_decoder vqa_recurrent_self_attention_small vqa_recurrent_self_attention_base vqa_recurrent_self_attention_ls2 vqa_recurrent_self_attention_drop1 VqaRecurrentSelfAttention vqa_recurrent_self_attention_drop3 prepare_image_question_encoder vqa_recurrent_self_attention_l4 vqa_recurrent_self_attention_big vqa_recurrent_self_attention_gru vqa_recurrent_self_attention_l8 vqa_self_attention_feature_batch1024_hidden6_big prepare_question_encoder mlp VqaIterativeCombinedSelfAttention question_encoder vqa_self_attention_feature_batch1024 vqa_self_attention_feature_batch1024_hidden6 iterative_encoder_decoder vqa_self_attention_base vqa_self_attention_feature_batch1024_big prepare_image_question_encoder attn vqa_self_attention_feature vqa_self_attention_feature_batch1024_drop03 VqaCombinedSelfAttention image_question_encoder decoder image_encoder vqa_self_attention_feature_lr5 VqaSelfAttention vqa_self_attention_feature_batch1024_exp flat_lists NextFrameBase pixels_from_softmax next_frame_base NextFrameBaseVae NextFrameBasicDeterministic next_frame_base_range next_frame_pixel_noise next_frame_ae_range next_frame_ae next_frame_tpu next_frame_sampling next_frame_ae_tiny next_frame_small next_frame_pixel_noise_long next_frame_tiny next_frame_clipgrad_range next_frame_l1 next_frame_xent_cutoff_range next_frame_doubling_range next_frame_l2 next_frame_basic_deterministic NextFrameTest next_frame_basic_recurrent NextFrameBasicRecurrent NextFrameTest NextFrameBasicStochastic NextFrameBasicStochasticDiscrete next_frame_basic_stochastic_discrete next_frame_basic_stochastic next_frame_sampling_stochastic next_frame_basic_stochastic_discrete_long next_frame_stochastic_discrete_latent_range next_frame_stochastic_discrete_range NextFrameTest NextFrameEmily next_frame_emily NextFrameTest construct_model predictor van_dec_2d van van_image_enc_2d analogy_computation_2d encoder_vgg peak_signal_to_noise_ratio l1_error calc_loss_psnr van_enc_2d NextFrameEpva mean_squared_error next_frame_epva get_cond_latents next_frame_glow_hparams next_frame_glow_bair_quant frame_glow_hparams NextFrameGlow next_frame_glow_bair_qual next_frame_glow_shapes NextFrameGlowConv3DTest NextFrameGlowConv3DTest NextFrameGlowConvTest decode_hparams interpolations_to_summary preprocess_frame interpolate latents_to_frames main get_summaries_log_dir frame_to_latents fill_infer_targets fill_hparams create_basic_features NextFrameGlowTest NfgUncondTest NextFrameSavpBase NextFrameSavpRl NextFrameSAVP next_frame_savp_gan next_frame_savp next_frame_savp_vae next_frame_savp_l2 NextFrameTest NextFrameSv2pDiscrete NextFrameSv2p NextFrameSv2pLegacy NextFrameSv2pTwoFrames NextFrameSv2pAtari next_frame_sv2p_atari_deterministic next_frame_sv2p_atari_softmax_deterministic next_frame_sv2p_atari_softmax next_frame_sv2p next_frame_sv2p_atari next_frame_sv2p_discrete next_frame_sv2p_tiny_external next_frame_sv2p_tiny next_frame_sv2p_cutoff NextFrameTest action_modalities BaseNextFrameTest full_modalities fill_hparams get_tensor_shape create_basic_features create_full_features create_action_features BatchDQNAgentTest BatchedRunnerTest MockEnvironment BatchEnv MockLogger _create_mock_checkpointer main BatchRunner _OutOfGraphPrioritizedReplayBuffer get_create_batch_env_fun _WrappedPrioritizedReplayBuffer _RainbowAgent BatchDQNAgent get_create_agent DopamineBatchEnv _parse_hparams _DQNAgent BatchRainbowAgent ResizeBatchObservation _get_optimizer _OutOfGraphReplayBuffer PaddedTrajectoriesEnv DQNLearner planner_guess1 make_eval_fn_with_agent get_game_for_worker planner_tiny planner_guess3 make_agent planner_guess7 collect_frames_for_random_starts planner_guess9 planner_guess2 main evaluate_world_model evaluate planner_guess0 make_env planner_base planner_guess4 planner_guess5 planner_guess8 evaluate_all_epochs planner_guess6 planner_small make_agent_from_hparams EvalTest make_gym_env remove_time_limit_wrapper RenderedEnv StickyActionEnv MaxAndSkipEnv register_gym_env gym_env_wrapper EnvWithOptions SimpleEnv GymUtilsTest main SimAndRealEnvPlayer SingleEnvPlayer PlayerEnv infer_last_epoch_num setup_and_load_epoch SimulatedGymEnv load_data_and_make_simulated_env infer_paths PPOPolicyInferencer ExtendToEvenDimentions wrap_with_monitor RenderObservations create_simulated_env infer_game_name_from_filenames PolicyLearner calculate_generalized_advantage_estimator discounted_rewards define_ppo_epoch _distributional_to_value define_ppo_step _define_train _rollout_metadata PPOLearner _define_collect _run_train _MemoryWrapper Restarter RestarterTest full_game_name make_initial_frame_chooser update_hparams_from_hparams BatchWrapper PolicyAgent evaluate_all_configs RandomAgent compute_mean_reward summarize_metrics PlannerAgent augment_observation BatchAgent SimulatedBatchGymEnvWithFixedInitialFrames should_apply_max_and_skip_env setup_env random_rollout_subsequences evaluate_single_config run_rollouts BatchStackWrapper _eval_fn_with_learner evaluate_world_model absolute_hinge_difference get_metric_name train_agent load_metrics real_env_step_increment make_relative_timing_fn world_model_step_increment train_agent_real_env random_rollout_subsequences train_world_model setup_directories main training_loop train_supervised make_log_fn get_simulated_problem_name main rlmb_dqn_guess1 rlmb_quick rlmb_ppo_base_param_sharing rlmb_ppo_tiny rlmb_ppo_quick_param_sharing rlmb_tiny_stochastic rlmb_tiny_recurrent rlmb_all_games rlmb_dummy_range training_loop_hparams_from_scoped_overrides rlmb_basetest rlmb_base_stochastic_discrete_50k rlmb_base_stochastic_discrete_20k_model_steps rlmb_ppo_epochs_num rlmb_base_stochastic_discrete_20k rlmb_base_sv2p_softmax rlmb_tiny_sv2p rlmb_ppolr_game rlmb_l1l2cutoff_range rlmb_base_stochastic_discrete_200k rlmb_ppo_epoch_len rlmb_human_score_games create_loop_hparams rlmb_xentcutoff_range rlmb_tiny dynamic_register_hparams rlmb_base_stochastic_discrete_noresize rlmb_base_sv2p_deterministic_softmax rlmb_ppo_quick rlmb_base_stochastic_discrete_1m rlmb_epochs_num rlmb_dqn_guess1_rainbow split_scoped_hparams rlmb_pixel_noise rlmb_long rlmb_base_sampling_stochastic rlmb_curious_games10 rlmb_base_stochastic_discrete_30k_model_steps rlmb_quick_noresize rlmb_dqn_guess1_10m_replay_buffer rlmb_grid rlmb_base_stochastic_discrete_1epoch rlmb_dqn_guess1_2m_replay_buffer rlmb_base_sv2p rlmb_long_stochastic_discrete_planner rlmb_ppolr rlmb_three rlmb_ppo_optimization_batch_size rlmb_ae_variance rlmb_quick_sd rlmb_ppo_base _rlmb_base _rlmb_tiny_overrides rlmb_dqn_tiny rlmb_base_stochastic_discrete_param_sharing rlmb_base_stochastic_discrete_500k rlmb_base_stochastic_discrete rlmb_long_stochastic_discrete_gamma90 rlmb_base_recurrent rlmb_base_stochastic_discrete_3epochs rlmb_ae_ppo_lr rlmb_base_sv2p_deterministic rlmb_num_frames rlmb_base_stochastic_discrete_sticky_actions rlmb_logits_clip rlmb_games_problematic_for_ppo rlmb_long_stochastic_discrete_simulation_deterministic_starts merge_unscoped_hparams rlmb_curious_games5 rlmb_quick_sm rlmb_test1 rlmb_base_sampling rlmb_sdtest rlmb_long_stochastic_discrete_gamma95 rlmb_base_stochastic_discrete_75k_model_steps rlmb_long_stochastic_discrete_25steps rlmb_base rlmb_tiny_simulation_deterministic_starts rlmb_base_stochastic update_hparams rlmb_human_score_games_v100unfriendly rlmb_scheduled_sampling rlmb_debug_games rlmb_noresize rlmb_variance_nogame rlmb_dropout_range rlmb_intrinsic_reward_scale rlmb_long_stochastic_discrete_100steps rlmb_variance rlmb_whitelisted_games rlmb_long_stochastic_discrete rlmf_proportional_epoch_length rlmb_base_sampling_noresize rlmb_dqn_base ModelRLExperimentRecurrentTest ModelRLExperimentStochasticTest ModelRLExperimentSv2pTest ModelRLExperimentTest main train initialize_env_specs TrainTest TrainerModelFreeTicTacToeTest InGraphBatchEnv PyFuncBatchEnv compute_uncertainty_reward SimulatedBatchEnv PIL_Image PIL_ImageDraw HistoryBuffer SimulatedBatchGymEnv FlatBatchEnv StackWrapper WrapperBase export_as_tfhub_module export_module_spec_with_checkpoint main create_hparams create_estimator _get_hparams_path main make_request_fn validate_flags _decode _encode make_cloud_mlengine_request_fn make_grpc_request_fn _make_example _create_stub predict PoetryLines my_very_own_hparams backend jit conv dataset_as_numpy RandomBackend logsumexp sum_pool jax_conv _normalize_by_window_size NumpyBackend get_name grad pmap jax_sum_pool use_backend jax_max_pool jax_avg_pool _pooling_general max_pool avg_pool BackendTest History wmt_preprocess dataset_to_stream _train_and_eval_dataset_v1 no_preprocess _make_info inputs batch_fun _eager_dataset_iterator lm1b_preprocess concat_preprocess _select_features random_inputs shuffle_and_batch_data _train_and_eval_batches train_and_eval_dataset cifar10_no_augmentation_preprocess test_dataset_ints InputsTest _pack_images SummaryWriter markdownify_operative_config_str MultifactorSchedule EvalAdjustingSchedule main _default_output_dir _setup_gin Trainer _is_jit_init save_state log loss step_log _save_replicated evaluate_loss_train_and_eval _make_list _jit_predict_fn masked_mean neg_log_perplexity evaluate_train_and_eval reshape_by_device MemoryEfficientTrainer _save_gin log_metrics restore_state _print_n_params evaluate _jit_compute_loss_fn accuracy _jit_update_fn _reshape_by_device_single train epochs get_random_number_generator_and_set_seed TraxTest test_inputs PureAttention DotProductAttention AttentionQKV ShiftRight PaddingMask _positional_encoding_new_params EncoderDecoderMask CausalMask Attention PositionalEncoding AttentionTest nested_map sizes _validate_call_input ShapeType nested_reduce _random_values _apply_to_first_n _shorten_file_path _short_traceback _is_tuple_of_shapes _find_frame LayerError shapes _eval_on_shapes layer check_shape_agreement Layer BaseLayerTest _ensure_sublayers Serial Dup _deep_flatten Swap FlattenList Gate Add Residual _pop_rng_and_split Drop _nested_op Parallel Model Multiply SubtractTop _count_items Concatenate CombinatorLayerTest Conv ConvolutionLayerTest Exp Softmax one_hot Embedding Div Relu HardTanh LogSoftmax ToFloat Tanh Sigmoid Softplus Dense AddConstant Mean HardSigmoid Flatten Dropout CoreLayerTest GlorotNormalInitializer GlorotUniformInitializer RandomNormalInitializer InitializersTest BatchNorm LayerNorm BatchNormParams LayerNormParams NormalizationLayerTest SumPool MaxPool AvgPool PoolingLayerTest GeneralGRUCell GRUCell ConvGRUCell RnnLayerTest layer_configure _shift_right AtariCnn AtariCnnTest MLP MLPTest NeuralGPU ConvDiagonalGRU DiagonalGate SaturationCost NeuralGPUTest WideResnet WideResnetBlock Resnet50 WideResnetGroup IdentityBlock ConvBlock ResnetTest Transformer EncoderBlock FeedForward TransformerLM DecoderBlock TransformerEncoder EncoderDecoder TransformerTest model_configure MixHeadsPos CombineHeadsPos LearnedQP ResidualFeedForward DecoderLayer PositionLookupTransformerLM CutAtPosition QueryPositionKV ApplyAndQueryPositions AttentionPosition Softmax5Branches PreservePosition NewPositionalEncoding SumLearnedPick Dup2 CopyHeadsPos DeepFlatten JoinHeads ApplyAttentionWrapper Map ReversibleHalfResidual SplitHeads ReversibleLayerMixin FeedForward Unchunk Split MemoryEfficientDotProductAttention ReversibleSwap ReversibleAttentionHalfResidual ReversibleSerial Chunk TransformerRevnetLM DotProductAttention DecoderBlock RMSProp Optimizer clip_grads l2_norm Adam SGD SM3 Momentum tree_unflatten tree_flatten opt_configure maybe_restore_params optimizer_fn policy_and_value_net combined_loss ppo_loss_given_predictions chosen_probabs combined_loss_given_predictions get_padding_value pad_trajectories compute_probab_ratios evaluate_policy clipped_probab_ratios collect_trajectories masked_entropy rewards_to_go clipped_objective get_time approximate_kl deltas write_eval_reward_summaries gae_advantages policy_and_value_opt_step training_loop value_loss_given_predictions atari_layers common_layers make_env get_optimizer_fn main PpoTest PpoTrainingLoopTest SimulatedEnvProblem join format imwrite std print min zfill mean array resize append zeros sum max range enumerate len format print len append array enumerate join time format print action_space ClothEnv load_state observation_space stop_render realpath render reset shape dirname terminate save_state step depth_scaled_to_255 depth_to_3ch format imwrite zfill render _preprocess_depth len format remove_node zfill from_trimesh Node _save_render_images Trimesh export append array range add_node len OffscreenRenderer add SpotLight Scene array PerspectiveCamera seed join _create_scene_and_offscreen_render defaultdict format print ClothEnv stop_render render reset _save_trimesh terminate get_random_action append save_state step range get_random_action _get_xy_vals pts pi arctan2 _get_xy_vals pi sqrt pts analytic_corners obj replace append new array minimum remove new maximum links node_tree append float array render save_render replace FromPolygons matrix_world areas Vector ray_cast BVHTreeAndVerticesInWorldFromObj mode_set normalized append select_all enumerate remove new nodes links node_tree load_mesh int set_dom_rand set_bed_color argv set_floor_pose set_camera_pose set_camera_optical_center get_occlusion_vec render_image set_cloth_color delete set_bed_pose compute_depth set_camera_focal_length shade_smooth dump close open open communicate bytes close Popen generateDoxygenXML dedent generate parse ExhaleRoot customSpecificationFunction abspath generateFullAPI breathe_parse format write items join sub replace items rstrip replace endswith strip min lstrip split splitlines sub startswith TextWrapper fill float len d sanitize_name process_comment append get_children spelling append strip_typedefs search tag target type randint range randint range Pet Hamster Rabbit Dog strip sub replace _sanitize_general __doc__ str sub _sanitize_general hasattr collect skipif get rows Matrix astype cols float32 range get gc_collect Matrix array test_callback4 test_callback5 payload_cstats test_cleanup abs today test_chrono1 abs today test_chrono2 test_chrono3 today today test_chrono4 test_chrono5 timedelta test_chrono6 test_chrono7 class_args_noop C assert_array_equal assert_equal_ref todense assert_equal_ref fixed_r fixed_passthrough_r fixed_c fixed_passthrough_c assert_equal_ref dense_passthrough_c dense_passthrough_r dense_r dense_c reshape enumerate range array enumerate chol array range sparse_c sparse_passthrough_c assert_sparse_equal_ref sparse_r sparse_passthrough_r ETwo Two ESecondMode test_function EFirstMode Write Read join dirname PyClass2 get ElementA ElementList gc_collect add range enumerate gc_collect as_base NestB NestC NestA get_moveissue1 get_moveissue2 OverrideTest A_ref get_child SharedParent get holder_cstats child SpecialHolderObj make make2 dict get add8 add1 add7 add5 ExampleMandA add4 add6 add9 add3 add10 add2 TestProperties TestPropRVP getattr TestPropRVP rvalue static_rvalue get cls DynamicClass get DynamicClass A B MIType MITypePy MITypePy MITypePy array view assert_references transpose random wrap diagonal array function_taking_uint64 uint64 list default_constructors converting_constructors assert_array_equal values array dtype dtype create_rec_nested assert_equal func create_rec_partial create_rec_partial_nested arange reshape assert_array_equal range test_array_ctors create_string_array dtype dtype create_enum_array enumerate StringList push_back pop_back ClassWithSTLVecProperty enumerate return_unique_ptr get Vector Vector2 setExtra1 Pickleable setExtra2 dumps loads loads PickleableWithDict HIGHEST_PROTOCOL dumps get_array get get_valarray new_instance test_str_format test_accessor_api test_accessor_assignment TestObject raises raises move_list MoveOutContainer get_implicit_casting get Sequence reversed items list StringMap get print zip enumerate cstats_ref get MyObject4 get holder_ref ref holder_copy copy SharedPtrRef get holder_ref ref holder_copy copy bad_wp SharedFromThisRef append insert VectorInt append VectorVectorEl VectorEl El append VectorBool range UnorderedMapStringDouble MapStringDouble MapStringDoubleConst UnorderedMapStringDoubleConst str range enumerate get_vnc range get_dnc items list range get_mnc get_umnc list range items get ExtendedExampleVirt2 ExtendedExampleVirt ExampleVirt BT CR DT CCR CCT AT DR AR CT get NCVirtExt2 NCVirtExt getattr register register TokenKinds print cfg_file set_env_cfg max_episodes mean get_action std get_model astype float32 tile eval load_model encode_all count_nonzero size bitwise_and array inRange File close tile create_dataset array range flush len int sorted list from_numpy stack sample range len tuple zero_grad clamp_ unsqueeze tensor values to range policy_net astype sample_data backward print smooth_l1_loss float32 parameters zeros step len load eval load_state_dict device to to device sorted sorted ImageSequenceClip write_gif join vocab_filename data_dir get_or_create_vocab problem MakeDirs info expanduser tmp_dir print dumps split append enumerate len local_eval_frequency max iterations_per_loop to_float input_fn as_list make_estimator_input_fn reshape get_next EVAL model surrogate_model reuse_variables warn set_random_seed Saver set_verbosity set_hparams_from_args epsilon_name output_dir T2TAttackModel argmax create_run_config Session make_estimator_model_fn get_probs run to_float restore global_variables surrogate_attack ignore_incorrect shape generate create_attack_params compute_accuracy create_hparams add_problem_hparams one_hot maybe_log_registry_and_exit launch generate_data surrogate_output_dir init_from_checkpoint latest_checkpoint set_hparam set add_hparam random_seed equal INFO import_usr_dir reshape prepare_data attack_epsilons t2t_usr_dir cloud_mlengine job_dir global_variables_initializer create_surrogate_hparams create_surrogate_run_config model_dir copy2 reset_default_graph min_steps get_variable iteritems utime list_variables filename popleft stepfiles_iterator deque load_checkpoint wait_minutes zeros Exists localtime bleu_wrapper asctime sleep reference Event Value translations_dir FileWriter add_event flush time report_zero min translation event_dir seed random_seed list_base_problems warning list sorted list_env_problems getattr display_list_by_prefix generate_data_for_problem gettempdir generate_data_for_env_problem only_list error generate_data_for_registered_problem int dev_data_filenames info data_dir max_cases test_gen train_data_filenames test_data_filenames training_gen generate_files shuffle_dataset dev_gen UNSHUFFLED_SUFFIX generate_data problem initialize generate_data data_dir play_env_problem_randomly env_problem expanduser tmp_dir task_id_start num_shards generate_data data_dir prepare_to_generate map num_generate_tasks problem info expanduser Pool task_id_end tmp_dir decode_shards decode_hparams worker_id decode_to_file decode_reference checkpoint_path decode_from_dataset getmtime decode_to_file problem utime decode_interactive decode_from_file use_tpu decode_interactively model data_dir reshape placeholder Saver EVAL create_hparams feature_encoders decode decode_to_file Open create_estimator score_file disable_grappler_optimizations close write create_decode_hparams exp_fn create_experiment_fn student_dir is_chief teacher_dir execute_schedule save_metadata skip_teacher_training job_dir maybe_log_registry_and_exit import_usr_dir generate_data exp_fn set_random_seed create_experiment_fn set_verbosity t2t_usr_dir info cloud_mlengine random_seed set_hparams_from_args INFO job_dir maybe_log_registry_and_exit import_usr_dir generate_data teacher_dir exp_fn set_random_seed create_experiment_fn set_verbosity t2t_usr_dir info cloud_mlengine random_seed set_hparams_from_args add_hparam student_dir INFO EVAL hparams next_checkpoint eval_timeout_mins evaluate make_estimator_input_fn hparams_set sparsify create_pruning_params get_next model_fn create_pruning_strategy strategy repeat join hparams warn startswith info append join output_dir warn local_eval_frequency getattr tpu_job_name max iterations_per_loop data_dir problem MakeDirs info expanduser tmp_dir profile help_string exit info registry_help join hasattr flags_into_string copy_hparams MakeDirs output_dir expanduser del_hparam T2TExperiment run_std_server transformer_print source exists str locals update format system steps power arange random int normal zipf_distribution abs zipf_random_sample range randrange randrange left right is_in_expr str replace iteritems str algebra_inverse_solve random_expr_with_required_var randrange len str format_sympy_expr random_expr randrange simplify str format_sympy_expr integrate random_expr_with_required_var randrange Symbol len dict sorted values list generate_algebra_inverse_sample vlist math_dataset_init solve_ops range values list generate_algebra_simplify_sample vlist math_dataset_init range values list functions print vlist math_dataset_init generate_calculus_integrate_sample values get join basename MakeDirs int Glob floor len get join Exists Rename raise_for_status MakeDirs info enumerate len int ones sqrt floor randint fromarray int uint8 BytesIO _get_case_file_paths float32 getvalue PIL_Image shape floor maybe_download_image_dataset save info open range len fromarray PIL_Image uint8 random join range mock_raw_image MakeDirs split print str format _handle_errors import_module join exists split join strip walk readframes strip call getnframes open join list _collect_data _get_timit _get_text_data encode _get_audio_data values get join extractall close MakeDirs open TokenTextEncoder join sorted list items extend Counter store_to_file zip split join _data_file _all_task_raw_data_generator info update iteritems name append _problems_to_register type register_problem split extractall basename maybe_download join extend reshape _get_cifar list len range choice append ShiftEncryptionLayer encrypt_character enumerate append encrypt_character enumerate _raw_sentences next decode match sub group _regex_filter _split_sentences zip sub native_to_unicode split join maybe_download_from_drive Glob maybe_download append len generate_hash info example_splits to_unicode_utf8 strip Open startswith append fix_run_on_sents find len write_to_file info join format Walk maybe_download_from_drive info contains_samples list string_types iteritems isinstance integer_types Feature join TFRecordWriter write SerializeToString sharded_name close info to_example Exists replace format outputs_exist zip Rename write SerializeToString close transformer_print info to_example len print int join Exists stat Copy MakeDirs info get join list items print Exists stat MakeDirs startswith info Session Exists chmod dirname info join Exists store_to_file MakeDirs info build_from_generator generate_lines_for_vocab str join basename gunzip_file endswith Exists info maybe_download isinstance append len tf_record_iterator info TFRecordWriter close write info enumerate shuffle_dataset transformer_print generate_files extra_fn replace read_records shuffle Remove write_records _shuffle_single outputs_exist info can_fit add packer append range len list output_shapes keys SequenceDatasetPacker padded_batch flat_map map read greater_equal reduce_any one_hot ones zeros concat reduce_max write transpose logical_not stack scatter cast gather reduce_min reduce_all range randint join MakeDirs Exists filepattern Glob int exp uniform split append randint range log len zip update trim_fn zip type snakecase_to_camelcase register_problem Discrete Box join format get_or_generate_tabbed_vocab join format ByteTextEncoder join Glob preprocess_for_train preprocess_for_eval greater_equal to_int32 logical_and Assert shape stack rank equal distorted_bounding_box_crop constant _at_least_x_are_true shape cond random_flip_left_right int32 cast equal greater float32 shape cast cond _crop constant to_float _flip reshape _random_crop _normalize to_float _do_scale reshape _center_crop _normalize maybe_download use asarray BytesIO Image reshape shape imsave decode_hparams choice image_to_tf_summary_value append enumerate to_int64 resize_images set_shape append to_int64 set_shape append shape executing_eagerly encode_images_as_png shape zip random_crop random_hue random_saturation random_flip_left_right random_brightness random_contrast resize_image_with_crop_or_pad random_crop random_flip_left_right concat shape_list random_uniform token_text_encoder_filename TokenTextEncoder subword_text_encoder_filename SubwordTextEncoder print_all feature ByteTextEncoder Example ParseFromString byte_text_encoder tf_record_iterator print_inputs max input_filename print_targets join extractall maybe_download close MakeDirs open max_input_seq_length join basename maybe_download join basename maybe_download join basename extractall strip maybe_download load join get_vocab len shuffle _get_mscoco info append open extractall close ZipFile to_unicode_utf8 strip Open split enumerate pop constant hasattr squeeze int_to_bit concat int64 cast make_constant_shape has_inputs from_tensors concatenate get minimum convert_to_tensor get_loss hasattr multiproblem_reweight_label_loss get_weights_fn task_id maximum append loss get get_loss get_weights_fn maximum task_list append loss get_or_create_global_step cumsum pad transpose expand_dims argmax concatenate sum len reshape split isinstance list enumerate zip len TRAIN EVAL iteritems reshape concat warning split_to_length input_space_id pop replace GENERIC input_space_id vocab_size modality target_space_id input_space_id target_space_id TestProblem range run pop list append len print dataset_generator generate_files DNAEncoder encode list UNK dict argwhere zip append EOS_ID maybe_download join list _extract_mnist_labels shuffle zip _extract_mnist_images _get_mnist maybe_download _get_fashion_mnist _read_words join _build_vocab compile txt_line_iterator zip txt_and_label_iterator txt_line_iterator zip txt_line_iterator zip txt_line_iterator int txt_line_iterator strip dict zip txt_line_iterator split encode EOS_ID append join _parse_dataset extractall close ZipFile maybe_download endswith replace append split join _get_tokens_and_tags print close Open append enumerate split join print SubwordTextEncoder corpus_token_counts Exists build_to_target_size store_to_file _get_or_generate_vocab join _download_and_parse_dataset join strip maybe_download seed DictReader int maybe_download len shuffle open info append enumerate is_unicode PY2 is_unicode pop list replace build_from_token_counts num_iterations vocab_token_counts corpus_token_counts output_filename corpus_max_lines corpus_filepattern vocab_filepattern store_to_file min_count append list tolist range append range len append enumerate sorted Glob update _read_filepattern Counter transformer_print encode _native_to_unicode rsplit int _read_filepattern warning enumerate decode_hparams Value set_hparam decode_to_file mlperf_mode decode_reference transformer_print mlperf_decode_step info bleu_wrapper append strip index append clean_en_xx_pairs paracrawl_v3_pairs write clean_en_xx_pairs join info concat random_hue random_saturation random_contrast shape astype int list concatenate max_display_outputs reshape extend create_border border_percent shape image_to_tf_summary_value frames_per_second py_gif_summary zip append enumerate items list stack_data_given_key asarray max_display_outputs convert_videos_to_summaries extend append predictions array max_display_decodes enumerate iteritems hparams format name Graph Value problem append output_dirs predictions enumerate join disable_ffmpeg maybe_download_from_drive join basename extractall strip maybe_download maybe_download_from_drive convert_to_tensor to_float to_int32 greater cond convert_to_tensor resize_images squeeze shape set_shape _smallest_size_at_least expand_dims random_uniform range split random_crop _flip _aspect_preserving_resize _apply_with_random_selector resize_image_with_crop_or_pad subtract multiply convert_image_dtype clip_by_value startswith _mean_image_subtraction append len find find find len find extractall Glob close ZipFile join Open strip len parse_page read len find find find append len find get_revisions join basename stat Copy mkdir info stdout file_page_generator maybe_copy_file_to_directory info Popen to_unicode_utf8 strip_text find end finditer split info vocab_filename SubwordTextEncoder info append fast_match_sequences append get range len pop append split WikisumWeb WikisumCommoncrawl refs_dir for_commoncrawl generate_vocab out_dir wikis_dir task_id get_urls_for_shard urls_dir URLS_PER_CLIENT ceil shard_id append range len encode join TFRecordOptions GZIP write make_example_from_ref SerializeToString info write strftime write_ref_content int list items set join get_urls_per_shard seed int sort shard shuffle debug_num_urls ceil get_urls_for_shard len group_id get_urls_for_shard_group tfrecord_fname BeautifulSoup soup decompose join list isinstance descendants set find_all Tag split format info append range split socket settimeout range sleep shell_output info shell_output LIST_VM range shell_run info shell_run remote_run wait_for_ssh shell_run_with_retry info code_dir abspath Pool name apply_async Remove per_instance_suffix_file range get instance_ids log_dir list_vm_names_and_ips default_zone num_instances num_threads debug_keep_up out_filepaths read close endswith open GFile join basename urlretrieve print Exists Rename Remove download download wet_records match enumerate split int total_seconds now strftime info astype float32 dict histogram float sum int basename split list error set get_length append out_filepaths len aggregate_stats validate_data_files Glob dataset_filename TFRecordOptions GZIP MakeDirs concat split join defaultdict Glob append _process_folders to_unicode tfrecord_iterator join encode defaultdict native_to_unicode punctuation strip escape lower sub defaultdict sort len _token_counts set _tokens_to_score native_to_unicode filter_paragraph encode float max _normalize_text append split info SubwordTextEncoder generate_files encode example_generator len _format_title text extend enumerate title encode _normalize_text append len get join basename wet_records_from_url _make_example_from_record wet_records_from_file_obj gzip_memfile url SerializeToString make_ref_shard_files gettempdir write close METADTA_SUFFIX startswith info enumerate stack reset range step time append as_numpy size trajectory_lengths done_indices clear_completed_trajectories policy_fun reset observations_np truncate gumbel_sample step epsilon_greedy as_dtype dtype isinstance isinstance isinstance warn append encode_pos range append sum extend get_open_spaces register_gym_env Flask TransformerModel string_types callable isinstance Dimension value isinstance bool sequence_mask squeeze float32 logical_not cast compute_area_features expand_dims basic_pool compute_area_features info info constant_value Tensor bool isinstance covariance zeros_like isinstance concatenate variance mean zeros RandomVariable activation_dtype weight_dtype mixed_precision_is_enabled dict register_layer partial conv_hidden_relu add_hparam kl_divergence_loss mse_loss combine_attentions to_float exp reshape concat maximum log expand_dims pad float range get_timing_signal_1d get_variable get_layer_timing_signal_learned_1d expand_dims get_timing_signal_1d get_layer_timing_signal_sinusoid_1d to_float exp concat expand_dims pad cast_like float range log as_list to_float exp concat expand_dims pad float range log len abs reduce_sum ones_matrix_band_part to_float dtype not_equal large_compatible_negative expand_dims dtype large_compatible_negative cumsum expand_dims to_float greater to_float expand_dims range to_float expand_dims condition_fn shape_list shape_list reshape concat dims set_shape shape_list len shape_list len list split_last_dimension reshape transpose reduce_max float32 pow pad image cast maximum reduce_sum relu expand_dims clip_by_value range reshape transpose matmul slice reshape pad shape_list slice reshape pad shape_list slice pad maximum get_variable slice reshape pad shape_list slice pad maximum get_variable einsum slice reshape squeeze shape_list split slice reshape transpose _split_along_width shape_list reshape shape_list t_hw list _extract_blocks t_hw_block concat map _split_along_width pad set_shape _get_left_right_blocks shape_list _extract_blocks concat pad set_shape shape_list split list _extract_blocks slice reshape transpose map matmul dropout_with_broadcast_dims compute_qkv attention_image_summary softmax pad_to_multiple_2d combine_heads shape_list zeros concat shape_list reshape slice concat einsum einsum reshape append range gather_dilated_1d_blocks as_list pad dims set_shape shape_list gather transpose shape_list reshape_range scatter_nd reshape transpose shape_list mul all reshape reduce float32 reshape_range conv2d reduce_prod shape_list cast eye range prod concat ones_matrix_band_part split gather_blocks_2d concat pad gather_indices_2d pad_to_multiple_2d gather_blocks_2d shift_right_2d_blocks break_into_blocks_nd slice reshape pad shape_list decode_step_to_index shape_list prod shape_list shape_list break_into_blocks_nd list product slice pad append range shape_list enumerate list reshape transpose from_iterable zip shape_list list reshape transpose from_iterable zip shape_list shape_list ones reshape less_equal where zeros prod range attention_bias_lower_triangle dtype cast reshape get_variable compute_attention_component insert prod decode_step_to_index shape_list reshape transpose decode_step_to_index zip alias_inplace_update shape_list one_hot size range equal cond scalar coordinate_tensor expand_dims coordinates attention_bias_coordinates squeeze equal logical_or cond expert_dot_product dispatch coordinates order eventually_dispatch SparseDispatcher zip append stack flatten_first_dims get_gates reshape transpose map_fn_switch LshGating stack shape_list unstack zip append expand_dims BatchInfo to_float dispatch length_coordinate get_dispatcher dot_product_attention nonpadding expand_dims add_summary_capacity dot_product_batched_head reshape shape_list get_gates_head expand_dims squeeze expand_dims squeeze to_float conv_elems_1d concat greater local_reduction_attention expand_dims construct_bias_vectors squeeze conv2d convolve array to_int32 reduce_max log2 set_shape abs log tensordot to_float less_equal ceil expand_dims range value concatenate int not_equal stft maximum linear_to_mel_weight_matrix set_categorical set_discrete set_float set_float reshape shape_list maybe_reshape_4d_to_3d maybe_reshape_4d_to_3d ones expand_dims bool range maybe_reshape_4d_to_3d get_self_attention_bias maybe_reshape_4d_to_3d reshape maybe_reshape_4d_to_3d set_shape layer_prepostprocess_dropout range dropout layer_prepostprocess_dropout range dropout shape_list attention_bias_lower_triangle dense reshape transpose num_mixtures getattr shape_list CAT reshape add_pos_signals set_shape prepare_image shape_list num_channels right_shift_blockwise query_shape reshape transpose shift_right_3d add_pos_signals pad cast_like prepare_image block_raster_scan shape_list img_len postprocess_image num_channels reshape getattr CAT squeeze identity split append gather range get_variable info enabled _get_control_flow_context shape get_shape len reduce_mean abs relu reduce_mean abs relu to_float get_global_step exp float log to_float float get_global_step minimum to_float minimum get_global_step sigmoid inv_sigmoid float random_uniform shakeshake2_py gradients shakeshake2_py gradients shakeshake2_py gradients len expand_dims squeeze reshape shape_list one_hot reshape matmul reshape_like expand_dims dtype list transpose expand_dims shape_list cast comparator tensordot range len less random_uniform shape get_shape pad set_shape cond equal dense get_shape pad set_shape add_n append range get_variable reduce_mean rsqrt squared_difference rsqrt reshape moments shape_list get_variable l2_normalize reshape transpose squeeze matmul assign shape_list pop to_float exp log expand_dims range pad get_timing_signal to_float reduce_mean exp log expand_dims dense dropout_with_broadcast_dims partial dropout info cumsum to_float equal Tensor isinstance cumsum to_float check_nonnegative equal to_float zeros_like not_equal cumsum greater reduce_sum check_nonnegative equal weights_multi_problem_all check_nonnegative weights_multi_problem to_float mod cumsum to_int32 logical_and equal shape_list isinstance convert_rgb_to_symmetric_real weights_nonzero reduce_sum discretized_mix_logistic_loss weights_fn tanh reshape maximum shape_list split exp softplus split_to_discretized_mix_logistic_params reshape log_softmax maximum log where sigmoid reduce_sum stack tile shape_list exp one_hot split_to_discretized_mix_logistic_params reduce_sum shape stack clip_by_value random_uniform log1p expand_dims argmax log is_xla_compiled defaultdict get_default_graph type var_index underlying_variable_ref approximate_split concat range approximate_split range a b list get_variable_scope get_vars_fn identity flatten fn len convert_to_tensor as_list shape append enumerate ones_like reshape less_equal where multinomial tile nth_element argmax shape_list T constant all ones reshape tri float32 matrix_band_part int64 cast reshape get_shape set_shape shape pop as_list format register_fully_connected name reshape get_collection GLOBAL_VARIABLES register_fully_connected_multi info shape_list reshape shape_list relu split reshape elu shape_list split pow tanh sqrt pi reshape stack gather_nd argmax shape_list foldl range to_int32 reduce_max equal range reshape stack gather_nd shape_list reuse get_name_scope reshape concat set_shape uint8 executing_eagerly image cast range shape_list convert_to_tensor dtype name cast warning device as_list int set_shape ceil pad_to_same_length to_float is_xla_compiled cast uint8 to_float to_int32 transpose reshape reduce_prod shape_list norm to_int32 reshape reduce_prod tile shape_list to_float dtype cast round targeting_fn multiply Normal exp dense_shape indices stack unstack zeros ones stack cast int64 concat zero_state BasicLSTMCell cell float32 shape_list zero_state cell float32 LSTMCell shape_list zero_state ConvLSTMCell cell float32 shape_list isinstance dynamic_stitch set_shape gather range random_shuffle dense reshape concat encode_to_shape zeros shape_list random_uniform int relu slice concat reduce_sum pad append expand_dims range dense int relu reshape transpose depthwise_conv2d reduce_sum unstack reshape pad shape_list tile WholeVideoWriter write_multi zeros _encode_gif asarray format Image Value min SerializeToString add shape append _encode_gif range Summary convert_to_tensor uint8 skip_summary cast shape exp random_normal tinyify noisy_linear_cosine_decay case maximum polynomial_decay reshape stack shape_list gather_nd random_uniform tile expand_dims range reshape transpose matmul tile shape_list reshape shape_list one_hot reshape transpose log_softmax square matmul reduce_sum stack reduce_mean top_k histogram random_uniform gather expand_dims argmax shape_list gumbel_softmax_nearest_neighbor_dvq reshape transpose matmul nearest_neighbor reduce_mean stop_gradient shape_list squared_difference stop_gradient to_int32 sum reshape to_int32 expand_dims concat to_float reshape int_to_bit shape_list reduce_min softmax top_k relu random_uniform int one_hot reshape transpose squeeze square matmul reduce_sum multinomial reduce_mean histogram stop_gradient argmax squared_difference vq_body loss_with_update vq_nearest_neighbor get_vq_codebook reshape shape_list cond one_hot get_vq_codebook reshape vq_body sparse_softmax_cross_entropy matmul reduce_mean stop_gradient shape_list to_float get_vq_codebook reshape matmul shape_list inverse_log_det_jacobian clip_by_value random_uniform stop_gradient forward argmax log_prob inverse_lin_decay transpose RelaxedOneHotCategorical reduce_sum matmul iaf_hparams less expand_dims gumbel_sample Chain range LOCAL_1D one_hot GLOBAL log_softmax square transformer_decoder_layers softmax cond dense reshape reduce_mean histogram Multinomial shape_list hidden_size random_uniform stop_gradient argmax log inverse_lin_decay get_vq_codebook transpose identity reduce_sum matmul less gumbel_sample one_hot log_softmax square softmax cond reshape assign_moving_average reduce_mean histogram shape_list squared_difference dense to_float tanh random_uniform stop_gradient less mix shape_list dense int bottleneck_bits bottleneck_noise discretize_warmup_steps tanh_discrete_bottleneck mode basic_params1 add_hparam as_list reshape reduce_mean tile weight_fn reduce_sum softmax expand_dims einsum weight_fn float32 sigmoid sqrt cast softmax einsum int constant random_normal_initializer dot_product_attention range trainable_variables list inf model Adam gradient log_prob apply_gradients tile zip range multinomial reshape argmax zeros expand_dims bottleneck_bits beam_search num_res_layers range expand_dims decompress_decoder expand_dims reshape histogram bottleneck mask_startup_steps get_global_step to_int32 maybe_reshape_4d_to_3d random_uniform to_float num_compress_steps transformer_image_decoder use_gold_targets ae_latent_sample_beam transformer_text_encoder embed_fn compress_fn less expand_dims img_len decompress_fn one_hot dropout decode_autoregressive latent_prediction_model inverse_exp_decay num_latents bottleneck_layer reshape startup_steps reduce_mean zeros shape_list hidden_size add_hparam LOCAL_1D transformer_small GLOBAL dense reshape shape_list dense _compute_edge_transforms reshape indices int64 stack cast sparse_message_pass SparseTensor sparse_reduce_sum sparse_tensor_dense_matmul reshape transpose sparse_reshape sparse_transpose to_float reduce_sum matmul reshape transpose shape_list reshape shape_list matmul get_variable num_channels to_int32 get_channel_embeddings shape_list hidden_size audio_num_mel_bins symbol_modality_num_shards convert_gradient_to_tensor concat append range hidden_size get_variable gif_summary standardize_images gif_summary standardize_images gif_summary gif_summary percentile reshape log multinomial reduce_prod getattr cast int32 shape_list squeeze gif_summary gif_summary getattr maybe_upcast to_float squared_difference to_float label_smoothing squeeze greater reduce_sum tile padded_cross_entropy weights_fn reduce_sum softmax_cross_entropy squeeze squeeze weights_fn reduce_sum sigmoid_cross_entropy weights_fn reduce_sum sigmoid_cross_entropy softmax_cross_entropy_with_logits one_hot reshape getattr reshape getattr getattr to_float reshape weights_fn video_l1_internal_loss getattr to_float reshape weights_fn video_l2_internal_loss mean_squared_error convert_rgb_to_real convert_rgb_to_real absolute_difference num_channels shared_embedding_and_softmax_weights AUTO_REUSE num_channels reshape gif_summary argmax shape_list video_num_target_frames num_channels gif_summary stack convert_real_to_rgb isinstance one_hot stop_gradient int32 py_func stop_gradient argmax softmax one_hot cast complex64 convert_to_tensor dtype value stack cast einsum convert_to_tensor dtype as_list value one_hot concat floormod cast tile einsum append asarray nditer convert_to_tensor dtype value one_hot shape set_shape int32 argmax py_func max all arange isinstance min shuffle flip append randint array float32 cast zip append create_degrees glorot_uniform identity reshape exp range ones_like reshape _assert_valid_sample reduce_sum shape logits_parameter as_list add_timing_signal_1d_given_position embedding attention_bias_ignore_padding reshape attention_bias_same_segment cast_like proximity_bias add_positional_embedding embedding_to_padding info add_timing_signal_1d max_length attention_bias_lower_triangle getattr comma_separated_string_to_integer_list transformer_print dense_relu_dense concat filter_size local_moe ffn_expert_fn restore squeeze moe_overhead_train moe_overhead_eval transformer_print getattr append expand_dims comma_separated_string_to_integer_list ffn_layer local_moe_tpu remove reshape moe_num_experts shape_list hidden_size list histogram list l2_regularizer summarize_activation values basic_params1 add_hparam encoder_layers mtf_transformer_base mtf_transformer_base encoder_layers mtf_transformer_tiny mtf_transformer_tiny_lm mtf_transformer_tiny mtf_transformer_single mtf_transformer_tiny int mtf_transformer_base_lm mtf_transformer_paper_lm mtf_transformer_paper_lm mtf_transformer_paper_lm mtf_transformer_paper_lm mtf_transformer_paper_lm mtf_transformer_paper_lm mtf_transformer_paper_lm int mtf_transformer_base mtf_transformer_paper_tr mtf_transformer_paper_tr mtf_transformer_paper_tr_0 mtf_transformer_paper_tr_0 mtf_transformer_paper_tr mtf_transformer_paper_tr mtf_transformer_paper_tr mtf_transformer_paper_tr mtf_transformer_paper_tr mtf_transformer_paper_tr mtf_transformer_paper_tr int mtf_transformer_paper_tr batch_size int mtf_transformer_paper_tr batch_size int mtf_transformer_paper_tr batch_size mtf_transformer_paper_lm basic_params1 basic_params1 add_hparam basic_params1 add_hparam add_hparam distill_base getattr comma_separated_string_to_integer_list getattr comma_separated_string_to_integer_list range update zeros _add_attend_to_encoder_cache range transformer_big add_evolved_transformer_hparams transformer_tpu add_evolved_transformer_hparams learning_rate_warmup_steps add_evolved_transformer_hparams learning_rate_warmup_steps transformer_big_tpu randint constant test_problem_hparams LOCAL_1D basic_params1 identity_top add_hparam image_channel_embeddings_bottom CAT image_transformer_base image_transformer_base identity_top image_channel_compress_targets_bottom image_transformer_base DMOL update_hparams_for_tpu imagetransformer_bas8l_8h_big_uncond_dr03_imgnet imagetransformer_base_tpu imagetransformer_cifar10_base RELATIVE_LOCAL_1D imagetransformer_base imagetransformer_base imagetransformer_base imagetransformer_sep_channels_8l imagetransformer_sep_channels_8l imagetransformer_base_10l_8h_big_cond_dr03_dan identity_top image_channel_compress_targets_bottom imagetransformer_base DMOL imagetransformerpp_sep_channels_8l_8h imagetransformerpp_base_8l_8h_big_cond_dr03_dan imagetransformerpp_base_8l_8h_big_cond_dr03_dan_a imagetransformerpp_base_10l_8h_big_uncond_dr03_dan imagetransformerpp_base_10l_8h_big_uncond_dr03_dan imagetransformerpp_base_10l_8h_big_uncond_dr03_dan_b imagetransformerpp_base_10l_8h_big_uncond_dr03_dan_g imagetransformerpp_base_10l_8h_big_uncond_dr03_dan_g imagetransformerpp_base_12l_8h_big_uncond_dr03_dan_k imagetransformerpp_base_12l_8h_big_uncond_dr03_dan_k RELATIVE_LOCAL_1D imagetransformerpp_base_12l_8h_big_uncond_dr03_dan_m_rel imagetransformerpp_base_12l_8h_big_uncond_dr03_dan_l imagetransformerpp_base_12l_8h_big_uncond_dr03_dan_m imagetransformerpp_base_14l_8h_big_uncond_dr03_dan_p imagetransformerpp_base_10l_8h_big_uncond_dr03_dan_g imagetransformerpp_base_5l_8h_big_uncond_dr00_dan_g_bs1 imagetransformerpp_base_5l_8h_dr00_dan_g_bs1_adafactor imagetransformerpp_base_12l_8h_big_uncond_dr03_dan_l imagetransformer_base_8l_8h_big_cond_dr03_dan imagetransformer_base_8l_8h_big_cond_dr03_dan imagetransformer_base_10l_8h_big_cond_dr03_dan add_hparam DILATED imagetransformer_base_8l_8h_big_cond_dr03_dan imagetransformer_base_8l_8h_big_cond_dr03_dan_dilated imagetransformer_base_8l_8h_big_cond_dr03_dan_dilated imagetransformer_base_8l_8h_big_cond_dr03_dan_dilated imagetransformer_sep_channels_8l_8h int image_transformer_base int image_transformer_base imagetransformer_base_12l_8h_big imagetransformer_base_14l_8h_big imagetransformer_base_12l_8h_big imagetransformer_base_12l_8h_big_uncond imagetransformer_sep_channels_8l_8h imagetransformer_sep_channels_12l_16h_imagenet_large imagetransformer_sep_channels_12l_16h_imagenet_large imagetransformer_sep_channels_8l imagetransformer_base_14l_8h_big_dr01 imagetransformer_base_14l_8h_big_dr01 imagetransformer_base imagetransformer_sep_channels_8l_8h imagetransformer_base_14l_8h_big_dr01 imagetransformer_base identity_top image_channel_compress_targets_bottom imagetransformer_tiny DMOL update_hparams_for_tpu imagetransformer_tiny add_hparam imagetransformer_base_10l_16h_big_dr01_imgnet add_hparam MOE_LOCAL_1D imagetransformer_tiny update_hparams_for_tpu imagetransformer_sep_channels_8l update_hparams_for_tpu imagetransformer_bas8l_8h_big_uncond_dr03_imgnet update_hparams_for_tpu imagetransformer_b10l_4h_big_uncond_dr03_tpu update_hparams_for_tpu imagetransformer_bas8l_8h_big_uncond_dr03_imgnet update_hparams_for_tpu imagetransformer_bas8l_8h_big_uncond_dr03_imgnet update_hparams_for_tpu imagetransformer_b12l_4h_big_uncond_dr03_tpu update_hparams_for_tpu imagetransformer_bas8l_8h_big_uncond_dr03_imgnet imagetransformer_b12l_4h_b256_uncond_dr03_tpu RELATIVE_LOCAL_1D set_categorical set_discrete set_float update_hparams_for_tpu imagetransformer_bas8l_8h_big_uncond_dr03_imgnet update_hparams_for_tpu imagetransformer_b12l_4h_b256_uncond_dr03_tpu imagetransformer_b12l_4h_b256_uncond_dr03_tpu update_hparams_for_tpu imagetransformer_bas8l_8h_big_uncond_dr03_imgnet update_hparams_for_tpu imagetransformer_bas8l_8h_big_uncond_dr03_imgnet imagetransformer_b12l_4h_big_uncond_dr03_tpu LOCAL_2D basic_params1 identity_top GLOBAL make_targets_bottom add_hparam image_channel_embeddings_bottom LOCAL_2D image_transformer2d_base image_transformer2d_base image_transformer2d_base image_transformer2d_base image_transformer2d_base int image_transformer2d_base LOCAL_2D image_transformer2d_base int image_transformer2d_base int image_transformer2d_base image_transformer2d_base imagetransformer2d_base_14l_8_16_big image_transformer2d_base image_channel_embeddings_bottom LOCAL_2D image_transformer2d_base img2img_transformer2d_base img2img_transformer2d_q1 img2img_transformer2d_q1 LOCAL_1D image_transformer2d_base img2img_transformer_base img2img_transformer_base img2img_transformer_base img2img_transformer_b3 img2img_transformer_b3 img2img_transformer_b3 img2img_transformer_b3 img2img_transformer_b3 img2img_transformer_b3 img2img_transformer_b3 img2img_transformer_b3 img2img_transformer_b3 img2img_transformer_b3 add_hparam DILATED img2img_transformer_base imagetransformer2d_base update_hparams_for_tpu img2img_transformer_base img2img_transformer_base_tpu img2img_transformer2d_base img2img_transformer2d_base img2img_transformer2d_base img2img_transformer2d_base img2img_transformer2d_base img2img_transformer2d_base img2img_transformer2d_base lengths_to_area_mask attention_mechanism_class MultiRNNCell num_heads clone BahdanauAttention AttentionWrapper LuongAttention hidden_size basic_params1 add_hparam lstm_seq2seq hidden_size lstm_attention_base add_hparam lstm_attention_base add_hparam lstm_bahdanau_attention lstm_luong_attention lstm_bahdanau_attention max_input_seq_length lstm_luong_attention lstm_area_attention_base lstm_area_attention_base lstm_area_attention_char Dimension block_length size dims reshape num_decoder_layers Shape layer_norm range num_channels Dimension transpose reshape dims num_decoder_layers Shape layer_norm block_height img_len range block_width print dims num_decoder_layers layer_norm range basic_params1 add_hparam mtf_image_transformer_base mtf_image_transformer_tiny mtf_image_transformer_base mtf_image_transformer_tiny mtf_image_transformer_tiny mtf_image_transformer_base mtf_image_transformer_base_cifar mtf_image_transformer_base_cifar mtf_image_transformer_base_cifar mtf_image_transformer_base_imagenet mtf_image_transformer_base_imagenet mtf_image_transformer_base_imagenet_mp128 mtf_image_transformer_base_imagenet mtf_image_transformer_tiny mtf_image_transformer_tiny mtf_image_transformer_single Graph size layout Mesh PlacementMeshImpl mesh_shape convert_to_shape batch_norm relu mesh Dimension conv2d_with_blocks Shape batch_norm_relu projection_shortcut get_variable basic_params1 add_hparam mtf_resnet_base mtf_resnet_tiny mtf_resnet_base mtf_resnet_base get basic_params1 add_hparam del_hparam mtf_transformer2_base add_hparam mtf_transformer2_base add_hparam mtf_unitransformer_base mtf_bitransformer_base mtf_unitransformer_tiny mtf_bitransformer_tiny mtf_unitransformer_base mtr_lm_dense_0 mtr_lm_dense mtr_lm_dense mtr_lm_dense mtr_lm_v1 int mtf_bitransformer_base mtr_tr_dense mtr_tr_dense mtr_tr_dense mtr_tr_dense_3 mtr_tr_dense mtr_tr_dense_local_0 mtr_tr_dense_local_0 mtr_tr_dense_local_0_h1_16 mtr_tr_dense_local_0 mtr_tr_dense_local_0_h1_16 mtr_tr_dense_0 mtr_tr_dense_0 mtr_tr_dense_0 mtr_tr_dense_0 mtr_tr_dense_0 mtr_tr_dense_0 mtr_tr_dense_0 mtr_tr_dense_0 mtr_tr_dense_local_0_h1_16 mtr_tr_dense_local_0_h1_16 mtr_tr_ende_v0 mtf_transformer_single basic_params1 ones_initializer zeros_initializer pad to_float unit_targeting weight_targeting fixed_padding shape_list td_conv conv2d_fixed_padding batch_norm_relu projection_shortcut conv2d_fixed_padding block_fn range block_layer basic_params1 add_hparam resnet_base resnet_base resnet_base resnet_imagenet_34 resnet_imagenet_34 resnet_imagenet_34 resnet_imagenet_34 resnet_base resnet_cifar_15 resnet_cifar_32 resnet_cifar_32 resnet_cifar_32 resnet_base resnet_base resnet_base resnet_base add_hparam HParams resnet_weight add_hparam HParams add_hparam resnet_fgsm add_hparam resnet_fgsm resnet_base partial update_wrapper wrapped_partial basic_params1 add_hparam revnet_base revnet_cifar_base revnet_cifar_base revnet_cifar_base set_discrete set_float int concat conv2d batch_normalization avg_pool stop_gradient conv2d batch_normalization relu list shake_shake_skip_connection relu shake_shake_concat concat conv2d batch_normalization add_n zip enumerate range basic_params1 int add_hparam shakeshake_small shakeshake_small shakeshake_big add_hparam HParams num_heads flatten4d3d subseparable_conv_block add_timing_signal squeeze multihead_attention attention_dropout shape zeros hidden_size attention_bias_lower_triangle pad_to_same_length flatten4d3d zeros_like subseparable_conv_block concat tile shift_right expand_dims attention hidden_size embedding basic_params1 add_hparam slicenet_params1 slicenet_params1 set_float basic_params1 add_hparam prepare_encoder_fn flatten4d3d dropout transformer_print layer_prepostprocess_dropout unidirectional_encoder encoder_function layer_prepostprocess_dropout decoder_function dropout transformer_print update zeros range init_cache_fn ones while_loop transformer_print beam_search fill zeros init_cache_fn ones while_loop beam_search fill zeros add_timing_signal_1d_given_position attention_bias_ignore_padding bfloat16 shift_right_3d proximity_bias add_positional_embedding cast attention_bias_prepend_inputs_full_attention embedding_to_padding causal_decoder_self_attention add_timing_signal_1d max_length attention_bias_lower_triangle get getattr comma_separated_string_to_integer_list transformer_print basic_params1 add_hparam transformer_base_v1 update_hparams_for_vq_gating transformer_base_v2 transformer_base_vq_ada_32ex_packed int transformer_base_vq_ada_32ex_packed int transformer_base_vq_ada_32ex_packed transformer_base_vq1_16_nb1_packed_nda_b01_scales transformer_base_vq_ada_32ex_packed transformer_base_vq_ada_32ex_packed transformer_base_vq_ada_32ex_packed transformer_base_v2 transformer_base_v3 transformer_base transformer_base transformer_tall transformer_tall transformer_tall transformer_tall transformer_tall transformer_tall update_hparams_for_tpu transformer_tall_pretrain_lm transformer_tall_pretrain_lm_tpu_adafactor transformer_tall_pretrain_lm_tpu_adafactor transformer_tall transformer_big transformer_base transformer_base transformer_base transformer_big transformer_base_single_gpu transformer_base transformer_base transformer_base transformer_base transformer_base transformer_base transformer_base transformer_base transformer_base transformer_base transformer_base transformer_base transformer_base transformer_base transformer_base transformer_base transformer_base transformer_base transformer_base transformer_base transformer_base transformer_base transformer_big_dr1 transformer_big_enfr update_hparams_for_tpu transformer_big_dr1 transformer_base transformer_base transformer_base_v2 transformer_base_v1 set_discrete set_float transformer_base transformer_relative transformer_big transformer_small transformer_base_v3 transformer_base update_hparams_for_tpu update_hparams_for_tpu transformer_timeseries transformer_tpu transformer_big update_hparams_for_tpu transformer_big update_hparams_for_tpu transformer_tiny set_float set_discrete set_float update_hparams_for_tpu transformer_small transformer_base_v2 transformer_clean update_hparams_for_tpu transformer_clean_big transformer_tpu update_hparams_for_tpu transformer_clean_big transformer_lm_tpu_0 transformer_base set_librispeech_length_hparams transformer_base update_hparams_for_tpu set_librispeech_length_hparams transformer_librispeech_v1 update_hparams_for_tpu set_librispeech_length_hparams transformer_librispeech_v2 transformer_librispeech_tpu transformer_base add_hparam transformer_tpu transformer_big int split_targets_chunk_length transformer_wikitext103_l4k_v0 add_hparam max_length int split_targets_chunk_length transformer_wikitext103_l4k_memory_v0 max_length int batch_size split_targets_chunk_length num_memory_items transformer_wikitext103_l4k_memory_v0 max_length int batch_size split_targets_chunk_length transformer_cifar10_memory_v0 max_length transformer_tiny basic_params1 add_hparam layer_norm hidden_size subseparable_conv_block basic_params1 xception_base xception_base register_layer transformer_base constant random_uniform apply_layer constant rand transformer_base attention_bias_lower_triangle deepcopy range len trainable_variables append min max range append pad print layer_preprocess expand_dims tile layer_preprocess attention_bias_to_padding get calculate_branching_model_parameters apply_layer STANDARD_CONV_1X1_REGISTRY_KEY enforce_output_size hidden_size layer_preprocess apply_nas_layers remove should_alter_output_dim set num_params combined_output_dim zip append range len transformer_base add_hparam ENCODER_LAYERS CONCAT_COMBINER_FUNC_KEY CONCAT_COMBINER_FUNC_KEY DECODER_LAYERS add_hparam _get_transformer_branching_encoder_config _get_transformer_branching_decoder_config dense int name Dimension size reshape min _top_2_gating Shape moe_group_size moe_num_experts einsum moe_hidden_size dims moe_group_size max einsum moe_hidden_size to_float _split_into_groups name Dimension reduce_sum Shape mesh_shape size _top_2_gating layout tensor_dim_to_mesh_dim_size moe_capacity_factor_second_level int dense reshape min greater dense to_float dtype bool top_1 one_hot zeros_like cumsum to_int32 size reduce_sum moe_use_second_place_loss reduce_mean softmax cast float Print add_hparam max info optimizer_adam_beta2 optimizer_adam_beta1 transformer_base_v2 mimic_adam_with_adafactor afx_adam afx_mimic_adam afx_base afx_base afx_base afx_base afx_clip afx_base afx_pow05 afx_pow05 afx_pow08 afx_base afx_base afx_unscale afx_adam transformer_tpu add_hparam afx_small add_hparam afx_small add_hparam afx_small add_hparam afx_small add_hparam afx_small afx_small coordinate_tensor expand_dims basic_params1 add_hparam aligned_base aligned_base aligned_base aligned_base aligned_local aligned_base aligned_pseudolocal aligned_base aligned_base aligned_base aligned_base aligned_base aligned_base aligned_grouped shift_right_3d attention_bias_prepend_inputs_full_attention add_timing_signal_1d embedding_to_padding attention_bias_lower_triangle basic_params1 add_hparam attention_lm_base attention_lm_base attention_lm_translation attention_lm_translation shift_right_3d attention_bias_prepend_inputs_full_attention add_timing_signal_1d embedding_to_padding attention_bias_lower_triangle reshape expand_dims remove flatten_all_but_last squeeze reshape_like restore basic_params1 add_hparam MULTIHEAD attention_lm_moe_base attention_lm_moe_base_long_seq LOCAL_EXPERTS attention_lm_moe_base_long_seq attention_lm_moe_base_long_seq attention_lm_moe_base_long_seq attention_lm_hybrid_v2 attention_lm_hybrid_v2 attention_lm_hybrid_v2 attention_lm_moe_base_long_seq attention_lm_moe_base_long_seq MEMORY_EFFICIENT attention_lm_moe_base attention_lm_moe_small LOCAL_EXPERTS attention_lm_moe_small attention_lm_moe_small attention_lm_moe_base attention_lm_moe_large attention_lm_moe_large MEMORY_EFFICIENT attention_lm_moe_large_diet attention_lm_moe_large_diet attention_lm_moe_base attention_lm_no_moe_small transpose shape_list basic_params1 int add_hparam add_hparam autoencoder_basic autoencoder_autoregressive int add_hparam autoencoder_residual autoencoder_autoregressive add_hparam add_hparam autoencoder_residual autoencoder_residual_discrete add_hparam autoencoder_residual_discrete autoencoder_ordered_discrete autoencoder_ordered_discrete autoencoder_ordered_discrete autoencoder_ordered_discrete autoencoder_ordered_discrete autoencoder_ordered_text autoencoder_ordered_discrete add_hparam autoencoder_ordered_discrete add_hparam autoencoder_ordered_discrete autoencoder_ordered_discrete set_discrete set_float set_discrete set_float autoencoder_residual_discrete add_hparam transformer_ae_small basic_params1 add_hparam gene_expression_conv_base basic_params1 add_hparam append ones reduce_sum where shape_list top_k append zeros range equal ones_like clip_by_value where is_finite num_cond_latents isinstance get_variable arg_scope variable_scope shape_list shape_list lu rand astype log sign shape_list triu abs diag zeros pad shape_list zeros pad shape_list concat conv3d add_edge_bias conv2d shape_list time_pad get append get_dilation_rates shape_list get shape_list exp shape_list get_variable scale_gaussian_prior concat Normal level_scale loc single_conv_dist temporal_latent_to_dist latent_to_dist h merge_level_and_latent_dist noise_op expand_dims get stack latent_encoder_width tile scale conv_lstm_2d shape_list len ones float shape_list random_uniform transformer_tpu lmx_base lmx_base lmx_base lmx_base lmx_base lmx_relative lmx_base lmx_h1k_f4k lmx_h1k_f4k lmx_base mtf_bitransformer_base xmoe_tr_dense_2k xmoe_tr_dense_2k xmoe_tr_dense_2k mtf_transformer_base_lm xmoe_dense_4k xmoe_dense_4k set_default_moe_hparams xmoe_dense_4k xmoe_top_2 xmoe_top_2 xmoe_2d xmoe_2d xmoe_2d mtf_transformer_paper_lm set_default_moe_hparams xmoe2_dense xmoe2_v1 xmoe2_v1 xmoe2_v1 xmoe2_v1_l4k xmoe2_v1_l4k xmoe2_v1_l4k xmoe2_v1_l4k_compressed_c4 set_default_moe_hparams mtf_transformer_base_lm wiki_2x2_base wiki_2x2_base xmoe2_dense_0 xmoe2_dense_0 xmoe2_dense_2 xmoe2_dense_0 xmoe2_dense_0 xmoe2_v1 denoise_v1_m15 denoise_v1_m15 denoise_v1_m15 denoise_v1_m15 mtr_tr_dense_0 mqp_ende_base mqp_ende_base mqp_ende_mq8 mqp_ende_mq8_ff5440 mqp_ende_base mqp_ende_base mqp_ende_base mqp_ende_base mqp_ende_base mqp_ende_base mqp_ende_base mqp_ende_base mqp_ende_base mtf_unitransformer_base mqp_lm1b_base mqp_lm1b_mq8 mqp_lm1b_base mqp_lm1b_base mqp_lm1b_base mqp_lm1b_base basic_params1 add_hparam basic_params1 add_hparam embedding_size add_variable basic_params1 add_hparam add_hparam ppo_base_v1 basic_params1 add_hparam ppo_discrete_action_base ppo_atari_base ppo_original_params ppo_original_params ppo_original_tiny ppo_original_params ppo_original_params iteritems list set_hparam ppo_original_params add_hparam keys next_frame_basic_deterministic values iteritems list set_hparam ppo_original_params next_frame_tiny add_hparam keys values iteritems list set_hparam next_frame_basic_stochastic_discrete ppo_original_params add_hparam keys values update wm_policy_param_sharing generative_model create_hparams generative_model_params DummyPolicyProblem video_num_target_frames DummyPolicyProblemTTT use_epochs TRAIN shape_list info max add_problem_hparams ppo_original_params set_hparam dqn_atari_base int set_hparam dqn_atari_base int dqn_guess1_params set_hparam dqn_guess1_params set_hparam dqn_guess1_params set_hparam int dqn_guess1_params set_hparam int rlmf_original add_hparam rlmf_original set_discrete list range list ATARI_GAMES_WITH_HUMAN_SCORE_NICE set_categorical set_discrete range rlmf_original rlmf_dist add_hparam rlmf_tiny_overrides override_from_dict rlmf_original add_hparam rlmf_tiny_overrides override_from_dict rlmf_original add_hparam rlmf_original rlmf_eval rlmf_eval_dist exp check_numerics random_normal_initializer reshape variance_scaling init_logstd MultivariateNormalDiag reduce_min getattr int mp mix_fraction squeeze ffn_expert_fn diet_experts add_n enumerate hidden_size split basic_params1 add_hparam super_lm_base super_lm_base super_lm_base super_lm_base super_lm_base super_lm_base super_lm_moe super_lm_moe super_lm_base super_lm_big super_lm_base int slice shape pad len transformer_base add_hparam add_hparam transformer_tiny basic_params1 add_standard_attention_hparams add_hparam transformer_moe_base transformer_moe_8k transformer_moe_8k format transformer_moe_8k transformer_moe_8k get_variable bottleneck_bits means epsilon format bottleneck_bits vq_nearest_neighbor info reshape assign_moving_average reduce_sum matmul decay beta expand_dims shape_list bottleneck_bits means dense bottleneck_bits softmax_cross_entropy_with_logits_v2 residual_conv mask_startup_steps get_global_step zeros_like to_int32 concat random_uniform stop_gradient argmax get_variable get_latent_pred_loss inverse_lin_decay to_float flatten4d3d compress num_compress_steps ae_latent_sample_beam pad encode less expand_dims range partial one_hot minimum vq_discrete_unbottleneck vq_discrete_bottleneck reshape maximum decode_transformer reduce_mean decompress_step histogram pad_to_same_length embed add_hparam transformer_small transformer_nat_small transformer_nat_small transformer_base add_hparam transformer_base add_hparam transformer_base add_hparam transformer_base add_hparam transformer_base add_hparam transformer_base add_hparam transformer_base add_hparam transformer_base add_hparam transformer_base add_hparam transformer_base add_hparam add_hparam transformer_big add_hparam transformer_tiny add_hparam transformer_tiny add_hparam transformer_tiny split split transformer_big transformer_revnet_base transformer_revnet_base transformer_small int mp comma_separated_string_to_integer_list mix_fraction squeeze getattr enumerate hidden_size split basic_params1 add_hparam transformer_symshard_base transformer_symshard_base transformer_symshard_base z_size reshape noisy_top_k_gating cv_squared shape_list dense int floordiv softmax_cross_entropy_with_logits_v2 sum z_size soft_em sampling_temp sparse_softmax_cross_entropy_with_logits floormod num_decode_blocks logit_normalization multinomial_sample range log append z_size tile next_bit ae_latent_softmax decode_transformer info range attend where maybe_reshape_4d_to_3d do_refine gather scalar sum_over_latents shape_list word_dropout do_ae prior_scale word_shuffle entropy_scale reduce_sum ae_latent_softmax shape ae_latent_sample max_length use_predict_mask format inverse_exp_decay add_positional_embedding bottleneck info do_mask bn_inputs refine_res startup_steps argsort squared_difference add_hparam transformer_small LOCAL_1D transformer_ae_small add_hparam image_channel_embeddings_bottom image_channel_embeddings_top int imagetransformer_ae_cifar transformer_ae_small transformer_ae_base transformer_ae_a3 transformer_ae_a3 update_hparams_for_tpu transformer_ae_base transformer_ae_base transformer_ae_small transformer_ae_base_noatt transformer_ae_base_ablation_1 transformer_ae_base_ablation_2 transformer_ae_base_ablation_3 transformer_ae_base_ablation_4 transformer_ae_base_ablation_5 add_hparam num_hidden_layers add_position_timing_signal transformer_base update_hparams_for_universal_transformer update_hparams_for_tpu universal_transformer_base update_hparams_for_universal_transformer universal_transformer_base update_hparams_for_universal_transformer transformer_base update_hparams_for_universal_transformer transformer_base update_hparams_for_universal_transformer transformer_tiny update_hparams_for_universal_transformer transformer_base transformer_teeny update_hparams_for_universal_transformer universal_transformer_small add_hparam universal_transformer_small universal_transformer_base update_hparams_for_tpu adaptive_universal_transformer_base adaptive_universal_transformer_base_tpu adaptive_universal_transformer_multilayer_tpu universal_transformer_small universal_transformer_tiny universal_transformer_tiny universal_transformer_base update_hparams_for_tpu adaptive_universal_transformer_global_base universal_transformer_small universal_transformer_small universal_transformer_small universal_transformer_base universal_transformer_base universal_transformer_base universal_transformer_base universal_transformer_base universal_transformer_base universal_transformer_base universal_transformer_tall universal_transformer_tiny universal_transformer_tiny universal_transformer_tiny universal_transformer_tiny universal_transformer_base universal_transformer_base universal_transformer_base universal_transformer_base universal_transformer_tiny universal_transformer_base universal_transformer_big universal_transformer_base universal_transformer_tiny set_discrete set_float set_discrete set_float getattr comma_separated_string_to_integer_list getattr comma_separated_string_to_integer_list fill_memory_slot num_rec_steps partial zeros shape_list step_preprocess unstack range num_inrecurrence_layers gate_ffn_layer num_inrecurrence_layers subtract step_preprocess _ffn_layer_multi_inputs reduce_mean append couple_carry_transform_gates range scalar gate_ffn_layer get_shape num_inrecurrence_layers subtract step_preprocess _ffn_layer_multi_inputs reduce_mean append couple_carry_transform_gates range assert_is_compatible_with scalar dense add_depth_embedding fill_memory_slot num_inrecurrence_layers step_preprocess reduce_sum softmax depth_embedding range step_preprocess attention_unit layer_preprocess add_ffn_unit_to_the_transition_function unstack ffn_unit step_preprocess attention_unit layer_preprocess add_ffn_unit_to_the_transition_function unstack ffn_unit get_shape constant zeros_like act_epsilon slice while_loop act_max_steps reduce_mean zeros scalar dense get_shape remove_pads dense_dropconnect restore replace dense_relu_dense reshape concat len squeeze copy filter_size layer_preprocess shape_list layer_postprocess assert_is_compatible_with enumerate to_float shape_list get_variable dense add_sru sru add_position_timing_signal add_step_timing_signal num_rec_steps cast_like concat get_timing_signal_1d act_max_steps cast random_uniform tile get_layer_timing_signal_learned_1d num_rec_steps concat act_max_steps get_layer_timing_signal_sinusoid_1d tile cast_like LayerNormBasicLSTMCell BasicLSTMCell basic_params1 add_hparam vqa_attention_base vqa_attention_feature_base vqa_attention_feature_base vqa_attention_feature_base vqa_attention_feature_base vqa_attention_feature_base vqa_attention_feature_base vqa_attention_feature_lstmlayernorm vqa_attention_base vqa_attention_feature_base vqa_attention_feature_numglimps1 vqa_attention_feature_base vqa_attention_feature_batch1024 vqa_attention_feature_batch1024_dnz vqa_attention_feature_base vqa_attention_feature_base vqa_attention_feature_dnz vqa_attention_feature_dnz vqa_attention_feature_batch1024_dnz vqa_attention_feature_batch1024 vqa_attention_feature_batch1024_drop01 vqa_attention_feature_batch1024_drop01_dna vqa_attention_feature_batch1024_drop01 vqa_attention_feature_base set_categorical set_discrete set_float attention_bias_ignore_padding concat add_positional_embedding embedding_to_padding add_timing_signal_1d max_length getattr comma_separated_string_to_integer_list add_hparam universal_transformer_base vqa_recurrent_self_attention_base vqa_recurrent_self_attention_base vqa_recurrent_self_attention_big vqa_recurrent_self_attention_base vqa_recurrent_self_attention_base vqa_recurrent_self_attention_base vqa_recurrent_self_attention_base vqa_recurrent_self_attention_base vqa_recurrent_self_attention_base vqa_recurrent_self_attention_base vqa_recurrent_self_attention_base attention_bias_ignore_padding add_positional_embedding add_timing_signal_1d embedding_to_padding max_length num_rec_steps range basic_params1 add_hparam vqa_self_attention_base vqa_self_attention_feature vqa_self_attention_feature_batch1024 vqa_self_attention_feature_batch1024 vqa_self_attention_feature_batch1024 vqa_self_attention_feature_batch1024_hidden6 vqa_self_attention_feature_batch1024 vqa_self_attention_feature to_float as_list log_softmax reduce_sum shape_list softmax expand_dims gumbel_sample range len basic_params1 add_hparam add_hparam next_frame_base video_identity_bottom add_hparam video_pixel_noise_bottom video_top next_frame_basic_deterministic next_frame_pixel_noise next_frame_basic_deterministic next_frame_basic_deterministic video_bitwise_bottom video_top next_frame_basic_deterministic video_bitwise_bottom next_frame_tiny video_top next_frame_basic_deterministic next_frame_basic_deterministic video_l1_top video_l1_loss next_frame_basic_deterministic video_l1_top video_l2_loss next_frame_basic_deterministic set_discrete set_float set_int set_int set_float set_float set_float set_int set_float add_hparam next_frame_basic_stochastic_discrete add_hparam next_frame_basic_deterministic next_frame_sampling add_hparam next_frame_sampling add_hparam next_frame_basic_stochastic_discrete set_int set_float set_discrete set_float video_num_input_frames next_frame_sv2p video_num_target_frames add_hparam int list encoder_vgg identity enc_size zip append range len to_float size reduce_sum squared_difference add_hparam next_frame_basic_deterministic glow_hparams add_hparam next_frame_glow_hparams next_frame_glow_bair_quant next_frame_glow_bair_quant next_frame_glow_hparams int num_cond_latents constant get_or_create_global_step greater pretrain_steps cond_first_frame add_hparam parse uniform_binning_correction convert_rgb_to_real preprocess_frame encoder_decoder postprocess encoder_decoder num_interp linear_interpolate_rank linear_interpolate rank_interp unstack linspace tile zip append latents_to_frames frame_to_latents enumerate join rank_interp summaries_log_dir frame_shape reshape image_to_tf_summary_value py_gif_summary save_frames append latest_checkpoint_step decode_hparams batch_size dataset variable_scope PREDICT get_summaries_log_dir batch num_samples problem get_hparams identity batch_size map TRAIN dataset batch add_hparam next_frame_sv2p next_frame_savp next_frame_savp next_frame_savp next_frame_basic_stochastic add_hparam add_hparam next_frame_sv2p next_frame_sv2p next_frame_sv2p_atari next_frame_sv2p_atari next_frame_sv2p_atari_softmax next_frame_sv2p_atari_softmax next_frame_sv2p_tiny next_frame_sv2p randint randint constant create_basic_features randint constant create_basic_features Mock num_env_steps game eval sum_of_rewards number_of_dones register_game pop deepcopy get list append values pop planner_base planner_base planner_base planner_base planner_base planner_base planner_base planner_base planner_base planner_base batch_size start_new_epoch run_rollouts reset info pop list values join base_algo_params frame_stack_size setup_env collect_frames_for_random_starts create_hparams make_agent_from_hparams BatchStackWrapper evaluate_world_model get_metric_name evaluate_all_configs make_eval_fn_with_agent FileWriter finish_to_disk summarize_metrics MakeDirs report_fn sort ATARI_GAMES_WITH_HUMAN_SCORE_NICE info join evaluate Glob format get_game_for_worker MkDir loop_hparams_set eval_batch_size worker_to_game_map strftime eval_step_limit loop_hparams planner_hparams_set all_epochs worker_id planner_hparams evaluate_fn agent now policy_dir eval_metrics_dir debug_video_path eval_with_learner mode Wrapper TimeLimit isinstance env remove_time_limit_wrapper RenderedEnv TimeLimit StickyActionEnv MaxAndSkipEnv make register format info split SimAndRealEnvPlayer infer_paths RETURN_DONE_ACTION game_from_filenames video_dir infer_game_name_from_filenames parse play get_keys_to_action simulated_env sim_and_real get_action_meanings dry_run make_simulated_env reset make_real_env wrap_with_monitor SingleEnvPlayer step sum listdir setup_env start_new_epoch infer_last_epoch_num sum listdir camelcase_to_snakecase deepcopy setup_and_load_epoch RenderObservations Monitor ExtendToEvenDimentions HParams iteritems get_policy prob clipping_coef concat batch_gather Categorical clip_by_value global_variables policy_network cast expand_dims sum log_softmax minimum optimize entropy value_loss_coef reshape reduce_mean int32 shape_list to_float zeros_like cumsum where softmax range concat scan stop_gradient round optimization_batch_size learning_rate_schedule to_float optimization_epochs hasattr discounted_rewards _distributional_to_value append expand_dims range calculate_generalized_advantage_estimator rewards_preprocessing_fun sqrt softmax zip gae_gamma moments merge minimum reshape maximum epoch_length gae_lambda Print zeros_like float32 scan reverse cast expand_dims cast float32 scan eval_every_epochs batch_size define_ppo_epoch action_space _define_collect eval_env_fn merge get_or_create_global_step global_variables FileWriter policy_network Saver as_list convert_to_tensor greater logical_or read_value no_op epoch_length cond Print append sum done mean make_real_env_fn frame_stack_size evaluate current_epoch_rollouts base_algo_params start_new_epoch close setup_env eval_fn info get_metric_name create_hparams get_metric_name eval_sampling_temps set zip evaluate_single_config zeros_like wm_eval_batch_size WholeVideoWriter max iteritems append_debug_frame_batch finish_to_disk wm_eval_rollout_ratios append sum range current_epoch_rollouts simulated_rollout_length decode_real_obs random_rollout_subsequences stack wm_eval_num_batches env_fn int write reset make_simulated_env_fn_from_hparams zeros step array len iteritems Summary add add_summary flush snakecase_to_camelcase should_apply_max_and_skip_env game full_game_name T2TGymEnv iteritems list set_hparam startswith values current_epoch_rollouts int abs astype int format asarray Draw text new copy list info batch_size act state write mean proceed reset augment_observation zip needs_env_state zeros step array append enumerate initial_epoch_train_steps_multiplier string_types join isinstance MakeDirs expanduser time local_eval_frequency create_experiment_fn create_run_config exp_fn base_algo_params frame_stack_size simulation_random_starts wm_policy_param_sharing base_algo train make_initial_frame_chooser make_simulated_env_fn_from_hparams update_hparams_from_hparams simulation_flip_first_random_for_beginning epochs create_hparams base_algo_params wm_policy_param_sharing base_algo real_env_step_increment reset update_hparams_from_hparams make_real_env_fn train create_hparams learning_rate_constant wm_policy_param_sharing Restarter should_skip create_hparams generative_model_params join simple_value ListDirectory summary_iterator wm_policy_param_sharing load_metrics setup_directories start_new_epoch log frame_stack_size evaluate_all_configs compute_mean_reward train_agent_real_env train_world_model summarize_metrics report_fn append range current_epoch_rollouts update format stop_loop_early current_epoch generate_data FileWriter make_relative_timing_fn setup_env pformat info train_agent join evaluate_world_model eval_world_model get_metric_name epochs make_log_fn training_loop create_loop_hparams get_simulated_problem_name train_agent world_model_dir add_hparam set_hparam iteritems dict update_hparams _rlmb_base rlmb_ppo_base dict update_hparams _rlmb_base set_hparam rlmb_dqn_base rlmb_dqn_guess1 set_hparam rlmb_dqn_guess1 set_hparam rlmb_dqn_guess1 set_hparam rlmb_base rlmb_base rlmb_ppo_base rlmb_ppo_quick rlmb_base rlmb_quick rlmb_basetest rlmb_quick rlmb_base rlmb_base rlmb_base rlmb_base_stochastic_discrete rlmb_base_stochastic_discrete rlmb_base_stochastic_discrete rlmb_base_stochastic_discrete rlmb_base_stochastic_discrete rlmb_base_stochastic_discrete rlmb_base_stochastic_discrete rlmb_base_stochastic_discrete rlmb_base_stochastic_discrete rlmb_base_stochastic_discrete rlmb_base rlmb_base_stochastic_discrete rlmb_long_stochastic_discrete rlmb_base_stochastic_discrete rlmb_long_stochastic_discrete rlmb_long_stochastic_discrete rlmb_long_stochastic_discrete rlmb_long_stochastic_discrete rlmb_base_stochastic_discrete rlmb_base_stochastic_discrete rlmb_base rlmb_base rlmb_base rlmb_base_sv2p rlmb_base_sv2p rlmb_base_sv2p_softmax rlmb_base rlmb_base_sampling rlmb_ppo_base _rlmb_tiny_overrides update_hparams override_from_dict dict _rlmb_tiny_overrides update_hparams override_from_dict dict rlmb_dqn_base rlmb_ppo_tiny rlmb_ppo_tiny rlmb_ppo_tiny rlmb_tiny set_categorical set_discrete list range set_categorical set_discrete list range set_discrete list range set_categorical set_discrete list range set_categorical set_discrete list range set_float list set_categorical ATARI_GAMES set_discrete range list ATARI_WHITELIST_GAMES set_categorical set_discrete range list ATARI_GAMES_WITH_HUMAN_SCORE_NICE set_categorical set_discrete range set_categorical set_discrete list range list ATARI_CURIOUS_GAMES set_categorical set_discrete range list ATARI_CURIOUS_GAMES set_categorical set_discrete range list set_categorical ATARI_DEBUG_GAMES set_discrete range set_categorical set_discrete list range set_categorical set_float set_float set_categorical set_float set_float set_float set_float set_float set_categorical set_discrete set_float ATARI_WHITELIST_GAMES list set_categorical set_discrete range ATARI_WHITELIST_GAMES list set_categorical set_discrete range ATARI_WHITELIST_GAMES list set_categorical set_discrete range ATARI_WHITELIST_GAMES list set_categorical set_discrete range set_categorical set_discrete list range set_categorical set_discrete list range set_categorical set_discrete list range set_categorical set_discrete ATARI_GAMES_WITH_HUMAN_SCORE iteritems list values iteritems list values get base_algo_params list parse hparams str dynamic_register_hparams values split_scoped_hparams override_from_dict create_loop_hparams zip merge_unscoped_hparams generative_model_params loop_hparams_set loop_hparams hparams parse batch_size env_problem setup_env eval_max_num_noops start_new_epoch rl_env_max_episode_steps base_algo_params eval_every_epochs frame_stack_size join base_algo vlog FileWriter epochs_num MakeDirs pprint_hparams update_hparams_from_hparams get_metric_name expanduser create_hparams initialize_env_specs env_problem_name train index_last_dim_with_indices log_prob_from_logits reduce_sum relu join checkpoint_path Exists warning dirname output_dir info create_module_spec export_module_spec_with_checkpoint export_as_tfhub_module checkpoint_path FinalExporter export dirname export_as_tfhub cloud_mlengine_model_name make_grpc_request_fn make_cloud_mlengine_request_fn cloud_mlengine_model_name make_request_fn inputs_once predict get_hparams HParams validate_flags items list example_reading_spec reduce shape info Feature insecure_channel encode EOS_ID append _create_stub encoder request_fn reduce_window expanduser _train_and_eval_batches int32 tuple fatal uint8 isinstance tuple squeeze astype int32 dataset_as_numpy split load splits VALIDATION startswith info supervised_keys TEST builder list range namedtuple len flatten dtype list _make_info shape append padded_batch str bucket_by_sequence_length apply info max map map filter filter preprocess_fun map skip shuffle batch_fun repeat randint shape train_and_eval_dataset dtype shuffle_and_batch_data minimum shape transpose reshape append process splitlines get join format print query_parameter log model data_dir config_file parse_config_files_and_bindings append dataset enable_eager_execution tf_eager tf_xla _setup_gin log_level set_jit log use_tpu isinstance len zip append argmax equal _make_list one_hot zip append sum _make_list one_hot model_predict zip append sum _make_list print flush info log join debug log join operative_config_str text markdownify_operative_config_str join format log step save_state State nested_map device_get sizes nested_reduce step_log nested_map log_metrics step_log predict_fn defaultdict iteritems split step_log compute_loss_fn log_metrics islice append input_stream iteritems step_log append max scalar seed randint set_random_seed min iter enumerate shape list fatal step_log save_computation_graphs save_gin print_n_params n_devices train_epoch trainer_class epochs repeat update_learning_rate chain step reshape exp arange cos sin zeros exp bernoulli zeros_like tie_in matmul where logsumexp sqrt shape swapaxes full_like get JoinHeads DotProductAttention SplitHeads shape pad len list nested_map pytree_to_jaxtupletree map unzip2 abstract_eval_fun tuple list f isinstance isinstance isinstance getframeinfo join find append _shorten_file_path startswith isinstance get_prng initialize layer_fn isinstance tuple ShapeType _random_values shape _is_tuple_of_shapes pseudo_call shapes split append isinstance pop isinstance append range len get shape bernoulli tie_in arange tuple mean dtype astype tuple ones zeros mean sqrt pad ConvDiagonalGRU concatenate append range append int sum range append range isinstance len array concatenate sum maximum int array Serial LayerNorm Relu Dense Dropout DotProductAttention MemoryEfficientDotProductAttention isinstance append isinstance tree_flatten l2_norm Model initialize Adam opt_init play_env_problem_with_policy uint8 uint16 int ones_like defaultdict list items get_padding_value dtype tuple ndim pad ceil float max append list reversed shape append range squeeze maximum rewards_to_go shape clip shape chosen_probabs shape exp squeeze compute_probab_ratios clipped_objective mean shape gae_advantages deltas sum std ppo_loss_given_predictions masked_entropy value_loss_given_predictions policy_and_value_net_apply get_params time exp defaultdict play_env_problem_with_policy extend split join int basename list isdigit sorted glob reversed filter info items list format info scalar maybe_restore_params combined_loss policy_and_value_optimizer_fn jit policy_and_value_get_params abs max dtype str list vlog len pad_trajectories shape evaluate_policy policy_and_value_net_fn collect_trajectories sum SummaryWriter concatenate glob get_time approximate_kl float flush n time remove policy_and_value_net_apply items text write_eval_reward_summaries makedirs min policy_and_value_opt_step get_predictions get_random_number_generator_and_set_seed scalar split update int clip_rewards partial max_timestep gym_env_wrapper run_training_loop config_file make_env parse_config_files_and_bindings jax_debug_nans register assign_sub assign initialized_value reshape shape div unstack unsorted_segment_sum range reshape greater where _normal_distribution_cdf gather expand_dims range to_float size reduce_sum squared_difference add_hparam int append argmax reduce_max range dtype constant while_loop reshape reduce_max TensorArray reshape set_shape DiscreteBottleneck batch_dense cumsum to_int32 to_float dtype transpose reduce_sum matmul cv_squared cast expand_dims range top_1_tpu one_hot softmax minimum int dense isinstance reshape min greater scalar append devices Parallelism zip list expand_by_device reshape concat reversed approximate_split parallelism add_n _step reshape_like_all_dims reduce_by_device range n to_float pow get_or_create_global_step EighthPowerEncoding optimizer_adafactor_memory_exponent adafactor_decay_rate_pow adafactor_decay_rate_adam optimizer_adafactor_beta2 dtype checkpoints all_variables get_checkpoint_state get_tensor Variable prefix output_path pop shape_list shape_list expand_dims ndims as_list range len reshape range int constant fill equal bitwise_and where bitwise_or int32 tile ceil zeros expand_dims range bitcast log reduce_max where bitwise_and log ones ceil expand_dims range greater_equal tile fill float bitcast equal int constant is_nan int32 zeros dtype float32 _create_make_unique cast _create_topk_unique compute_batch_indices fast_tpu_gather stack top_k map_structure gather top_k_with_unique constant bool reduce_any ones TensorShape while_loop where shape_list set_shape int32 tile map_structure zeros expand_dims _expand_to_beam_size tuple range Counter len _get_ngrams exp dict zip sum range to_int32 squeeze float32 argmax py_func sub split int getmtime getctime _try_twice_tf_glob info append StepFile pop join time _read_stepfiles_list localtime asctime info sleep len split join pop items list hasattr flag_values_dict extend dict startswith autotune_objective autotune_maximize strftime autotune_max_trials hparams_range autotune_parallel_trials info use_tpu configure_autotune create format default_project build get_application_default native_to_unicode execute basename rstrip shell_run join all strip get_setup_file gettempdir rmtree _tar_and_copy mkdir info split join INTERNAL_USR_DIR_PACKAGE get_setup_file gettempdir rmtree _tar_and_copy abspath info expanduser copytree RangedHParams append extend worker_gpu hparams_range cloud_mlengine_master_type input eval tar_and_copy_usr_dir configure_trainer_package configure_usr_dir configure_job launch_job pformat output_dir info t2t_usr_dir tar_and_copy_t2t validate_flags video_num_target_frames compute_and_save_video_metrics to_int32 sorted iteritems iteritems sorted maximum example_length append int max max min _bucket_boundaries max_target_seq_length iteritems pad_one_shape max_input_seq_length get_filler as_list iteritems assert_is_fully_defined merge_with set_shape expand_dims list values tf_record_iterator randint _file_num_records_cached items list shape pad cast int32 bool len pad_for_tpu window batch_size bucket_by_sequence_length warn hparams_to_batching_scheme warning max flat_map map batch_shuffle_size transformer_print apply _are_shapes_fully_defined prefetch unbatch use_fixed_batch_size DummyQueueRunner get partial skip_random_fraction shuffle output_shapes get_data_files batch n padded_batch pad_batch filter repeat add_to_collection QUEUE_RUNNERS generate_data HParams decode join format fix_and_save_video isinstance Text2ClassProblem map flatten problem show_and_save_image info _save_until_eos batch_size _decode_filename decode_to_file model_dir str num_decodes DecodeHookArgs decode_once append run_postdecode_hooks range format decode_in_memory MakeDirs PREDICT info join make_estimator_input_fn problem delimiter _decode_filename write_beam_scores Open str return_beams transformer_print append predict get close log_decode_results decode_in_memory info enumerate join beam_size write problem_hparams split batch_size delimiter _decode_filename write_beam_scores strip timer model_dir Open list return_beams DecodeHookArgs append encode _get_sorted_inputs predict range use_tpu run_postdecode_hooks _get_language_modeling_inputs _add_shard_to_filename close log_decode_results MakeDirs info flush enumerate beam_size time join reshape write extend problem isscalar split problem_hparams array len format shards shard_google_format shards_start_offset shard_id _add_shard_to_filename flatten next decode join beam_size isinstance return_beams identity_output Text2ClassProblem reshape map flatten problem enumerate isscalar info _save_until_eos predict split info encode range append len iteritems int input problem_hparams_to_features extra_length astype EOS_ID eval int32 encode problem_hparams append format enumerate imshow pop split append sorted enumerate info flatten EOS_ID index convert_to_tensor resize_images constant slice to_int32 reshape tile input_space_id problem_hparams target_space_id convert_to_tensor constant to_int32 input_space_id expand_dims problem_hparams target_space_id get_checkpoint_state model_checkpoint_path latest_checkpoint_step join Summary close FileWriter model_dir decode_hooks info add_summary summaries_log_dir pardir FLAGS getattr args ps_devices warn info minimum int16 sign float16 bitcast floor cast random_uniform abs max shape_list quantization_scale copy join split _config_dir system_dir Rouge155 ERROR output_to_dict mkdtemp convert_and_evaluate rmtree prep_data mkdir setLevel int _reuse_fail format parse_fn type issubclass groupdict end match _process_scalar_value _process_list_value _parse_fail list getattr HParams setattr values hparams parse create_hparams_from_json info add_hparam add_problem_hparams info problem Problem isinstance get_hparams to_float learning_rate_constant learning_rate_decay_steps learning_rate_decay_staircase cos maximum learning_rate_warmup_steps pi sqrt floor cast info train_steps constant transformer_print _global_step split to_float minimum _learning_rate_warmup learning_rate _learning_rate_decay learning_rate_warmup_steps where info _global_step hidden_size to_float optimizer_multistep_accumulate_steps get_or_create_global_step info to_float learning_rate_decay_steps learning_rate_cosine_cycle_steps learning_rate_decay_staircase learning_rate_decay_scheme floor info float abs _global_step to_float constant _global_step info squeeze argmax to_float pow pad_with_zeros sqrt reduce_mean weights_fn ones shape squeeze abs pad_with_zeros log_poisson_loss weights_fn reduce_sum pow pad_with_zeros reduce_mean weights_fn to_float get_shape list minimum not_equal to_int32 squeeze reduce_sum range weights_fn len constant not_equal to_int32 squeeze float32 reduce_sum cast cumprod argmax equal padded_cross_entropy extend shape_list reshape dml_loss to_int32 squeeze weights_fn to_float minimum ones to_int32 equal reduce_sum shape argmax weights_fn uint8 image cast argmax merge get make_image_wrapped_metric_fn was_reversed iteritems hasattr name get_weights_fn weights_fn_for_mp task_id eval_metric_fns problem make_problem_specific_metric_fn getattr get get_weights_fn eval_metric_fns get_hparams dict Mean constant streaming_pearson_correlation append len sub getframeinfo sub filename uuid4 str time format get_caller print debug dumps info activation_dtype weight_dtype trainable_variables weight_decay_and_noise grad_noise_scale CrossShardOptimizer list summarize_vars global_variables identity append should_generate_summaries set ConditionalOptimizer log_variable_sizes info summarize_variables clip_grad_norm optimizer optimize_loss extend summarize_grads scalar camelcase_to_snakecase trainable_variables weight_decay weight_noise scalar info append info as_list trainable_variables int sorted list ljust array info prod trainable_variables list histogram initializer_gain initializer info transformer_print int to_int32 weight_targeting prod shape_list to_int32 shape_list unit_targeting trainable_variables eval_model zip sparsities group assign pruning_strategy info no_op run cast float32 getter getter cast float32 float16 as_list abs reduce_max floor to_int32 get_or_create_global_step range to_float greater where to_float to_bfloat16 _randomized_roundoff_to_bfloat16 greater where sign endswith any value Registry warning camelcase_to_snakecase sorted hparams parse_problem_name initialize ep_cls append sorted split tuple _lcs max range _len_lcs _f_lcs zip append len to_int32 squeeze float32 argmax py_func add set _get_ngrams zip intersection append len to_int32 squeeze float32 argmax py_func Counter set sum values sum values sum values list _get_ngram_counter get_keep_score get_deletion_score Counter append get_addition_score sum keys range py_func to_int32 squeeze get_sari expand_dims argmax reshape ScheduledSamplingAdapter shape_list sequential_scheduled_sampling while_loop zeros infer_fn shape_list shape_list categorical cast int32 reshape list transpose alias_inplace_update ndims range items list isinstance items list startswith set iteritems isinstance get_weights_fn eval_metric_fns _create_target_modality append log_warn modality str log_debug SUMMARIES get_collection get_default_graph str get_global_step log_info name reshape SUMMARIES to_int32 get_collection warn OrderedDict get_default_graph type list keys executing_eagerly dtype list sorted isinstance maximum reduce_mean add_n cast zip add _eager_log _eager_log _eager_log set_custom_getter _compose_custom_getters custom_getter get load_checkpoint init_from_checkpoint has_tensor info get_trainable_variables enable_eager_execution main wait_for_new_checkpoint info int wait_for_new_checkpoint inf get_checkpoint_state all_model_checkpoint_paths info RewriterConfig ON GraphOptions ConfigProto GPUOptions update replace TPUConfig is_cloud_async_distributed TPUClusterResolver run_config_cls create_session_config data_parallelism info MirroredStrategy RunConfig V1 num_shards batch_size Estimator transformer_print problem tpu_batch_size_per_shard getattr V2 TPUEstimator add_hparam make_estimator_model_fn iterations_per_loop update EarlyStoppingHook ProfilerHook ValidationMonitor dict info append LocalCLIDebugHook HookContext make_estimator_input_fn create_hooks TrainSpec BestExporter warn EvalSpec TRAIN model_dir problem dict replace_monitors_with_hooks EVAL add_hparam create_estimator add_problem_hparams int restore get_checkpoint_state model_checkpoint_path info pop rstrip insert import_module abspath info split format system input_fn TRAIN decode_png resize_images read_file set_shape sorted constant from_tensor_slices map_and_batch Glob apply len load_videos make_one_shot_iterator zip join format iteritems ssim cast psnr stack dtype stack_data_given_key from_tensor_slices make_initializable_iterator placeholder shape get_next psnr_and_ssim mean reduce_func list std argmin mean reduce_to_best_decode argmax keys update compute_one_decoding_video_metrics append array get_zipped_dataset_from_predictions get_target_and_output_filepatterns compute_one_decoding_video_metrics get_zipped_dataset_from_png_files append array join save_results MakeDirs zip compute_video_metrics_from_png_files pardir dumps _get_attention _show_attention HTML display Javascript expand_dims sum enumerate placeholder get_att_mats int32 EVAL translate_model create_hparams append num_hidden_layers range basic_params1 add_hparam | ryanhoque/fabric-vsf | 3,483 |
rycolab/info-theoretic-probing | ['word embeddings'] | ['Information-Theoretic Probing for Linguistic Structure'] | src/h02_learn/dataset/__init__.py src/util/ud_list.py src/h01_data/process.py src/util/constants.py src/h02_learn/model/data_parallel.py src/h02_learn/train.py src/h02_learn/train_info.py src/h02_learn/dataset/pos_tag.py src/h02_learn/model/mlp.py src/h02_learn/model/base.py src/h02_learn/model/__init__.py src/util/util.py src/h02_learn/dataset/dep_label.py src/h02_learn/random_search.py process_bert_token get_args load_fasttext get_fasttext load_bert get_ud_file_base process combine_bert get_data_file_base check_bert_word process_file main tokenize_ud embed_bert dict2list args2list get_results write_done get_hyperparameters main get_hyperparameters_search append_result get_model_name _evaluate evaluate get_args eval_all save_results train train_epoch save_checkpoints main get_model TrainInfo DepLabelDataset PosTagDataset get_data_cls get_data_loaders get_data_loader generate_batch BaseModel TransparentDataParallel MLP config write_data write_csv read_data rmdir_if_exists mkdir file_len parse_args add_argument ArgumentParser info join mkdir from_pretrained eval to format model convert_tokens_to_ids info append to max range len startswith join format warning format mean info append range len join download_model rename mkdir info write_data list format tokenize_ud get_fasttext zip combine_bert info embed_bert load_bert get_ud_file_base get_data_file_base process_file info load_fasttext language basicConfig get_args batch_size ud_path output_path list arange product match groups split checkpoint_path communicate args2list get_results get_hyperparameters_search Popen file_len str representation copy mkdir get_hyperparameters append_result join task write tqdm write_done seed config pca_size print eval_batches wait_epochs task TransparentDataParallel MLP eval_batch to dataset len eval train is_best evaluate train_batch set_best eval new_batch print_progress finish parameters to Adam recover_best print evaluate write_csv mkdir save save_results print eval_all get_data_loaders train eval_batches save_path data_path save_checkpoints wait_iterations get_model pca_size float cat DataLoader dataset_cls get_data_cls get_data_loader seed manual_seed rmtree exists | # info-theoretic-probing This repository contains code accompanying the paper: [Information-Theoretic Probing for Linguistic Structure (Pimentel et al., ACL 2020)](https://arxiv.org/abs/2004.03061). It is a study of probing using information theoretic concepts. ## Install Dependencies Create a conda environment with ```bash $ conda env create -f environment.yml ``` Then activate the environment and install your appropriate version of [PyTorch](https://pytorch.org/get-started/locally/). ```bash | 3,484 |
rycolab/intrinsic-probing | ['word embeddings'] | ['Intrinsic Probing through Dimension Selection'] | estimators/fixed_samples.py readers/base.py readers/ud_treebank_reader.py utils/cache.py models/gaussian_model.py trainer/mle.py utils/parser.py models/base.py trainer/base.py trainer/map.py embedders/embedders.py utils/graph_writer.py scripts/get_ud_treebank_lang_by_id.py config.default.py utils/word.py runner/runner.py scripts/get_ud_treebank_lang.py run_ud_treebanks.py estimators/base.py utils/json.py preprocess_treebank.py unimorph_feature_parser merge_attributes subword_tokenize DummyEmbedder Embedder FastTextEmbedder Estimator FixedSamplesEstimator ProbingModel EmbeddingModel ValueModel EmbeddingDistribution GaussianEmbeddingModel GaussianEmbeddingDistribution AttributeDict Reader load_dimensions_to_features UDTreebankReader Runner Trainer MAPTrainer MLETrainer AttributeValueGaussianCacheEntry AttributeValueGaussianCache diagonalize_cov GraphWriter ResultsDecoder ResultsEncoder parse_unimorph_features Word append enumerate append items list join sorted startswith split | # Intrinsic Probing through Dimension Selection This is the repository for the EMNLP 2020 paper "Intrinsic Probing through Dimension Selection". ## Setup These instructions assume that conda is already installed on your system. 1. Clone this repository. *NOTE: We recommend keeping the default folder name when cloning.* 2. First run `conda env create -f environment.yml`. 3. Activate the environment with `conda activate intrinsic-probing`. 4. Install [pyTorch](https://pytorch.org/get-started/locally/). 5. Install [torch-scatter](https://github.com/rusty1s/pytorch_scatter). 6. (Optional) Setup wandb, if you want live logging of your runs. | 3,485 |
rymoah/BalancedCrossoverGA | ['combinatorial optimization'] | ['Balanced Crossover Operators in Genetic Algorithms'] | experiments/random-seeds/convert.py | rymoah/BalancedCrossoverGA | 3,486 |
ryokamoi/dcnn_textvae | ['text generation'] | ['Improved Variational Autoencoders for Text Modeling using Dilated Convolutions'] | model/discriminator.py train_cvae.py model/encoder.py sampling.py model/vae.py utils/batchloader.py train_vae.py config.py model/decoder.py sampling log_and_print main log_and_print main Decoder_cvae Decoder_vae Discriminator Encoder_cvae Sampler Encoder_vae Simple_VAE Semi_VAE BatchLoader BatchLoader ConfigProto print ConfigProto LOG_DIR mkdir copyfile | ryokamoi/dcnn_textvae | 3,487 |
s-huu/TurningWeaknessIntoStrength | ['adversarial defense'] | ['A New Defense Against Adversarial Images: Turning a Weakness into a Strength'] | train_vgg19.py detect.py attack.py evaluate.py utils.py target_distribution CW L3Attack L3_function L4_function PGD L4Attack noisy_img cross_entropy l1_vals targeted_vals l1_detection targeted_detection untargeted_vals untargeted_detection tune_criterion_thresholds combined_metric_fpr_tpr single_metric_fpr_tpr vgg19 validate train AverageMeter VGG accuracy save_checkpoint adjust_learning_rate main make_layers transform noisy_img random_label Noisy Variable cuda SGD Variable cuda SGD item LogSoftmax clone item data model u_attack random_label zero_grad cuda Adam t_attack range cross_entropy target_distribution eval softmax item norm backward Variable clamp noisy transform step model u_attack random_label zero_grad cuda topk Adam t_attack range eval softmax item norm backward Variable clamp noisy transform step data topk model Variable clamp backward zero_grad SGD eval item transform cuda cross_entropy data topk model Variable clamp backward zero_grad SGD eval item transform cuda load join str concatenate print l1_detection eval zeros range load join str concatenate print targeted_detection eval zeros range load join str concatenate print eval zeros range untargeted_detection print l1_vals targeted_vals untargeted_vals range len print l1_vals targeted_vals untargeted_vals range len sort l1_vals copy targeted_vals figure untargeted_vals append zeros range len Conv2d vgg19 validate SGD DataParallel DataLoader adjust_learning_rate save_checkpoint features save_dir cuda max load_state_dict parse_args CrossEntropyLoss real_dir range format start_epoch resume Normalize lr CIFAR10 load evaluate print parameters isfile cpu train epochs makedirs update time format criterion model backward float size AverageMeter zero_grad print item step cuda enumerate len update time format print size AverageMeter eval item float cuda enumerate len save param_groups lr topk size t eq mul_ expand_as append sum max cuda randint | ## A New Defense Against Adversarial Images: Turning a Weakness into a Strength <img align="right" src="detect_fig.png" width="250px" /> #### Authors: * [Tao Yu](http://www.cs.cornell.edu/~tyu/)* * [Shengyuan Hu](https://s-huu.github.io)* * [Chuan Guo](https://sites.google.com/view/chuanguo) * [Weilun Chao](http://www-scf.usc.edu/~weilunc/) * [Kilian Q. Weinberger](http://kilian.cs.cornell.edu/index.html) *: Equal Contribution ### Introduction | 3,488 |
s3nh/pytorch-tacotron2 | ['speech synthesis'] | ['Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions'] | hyperparams.py utils/audio_process.py utils/data.py utils/solver.py prediction.py src/loss.py utils/text_process.py src/model.py main.py src/optimizer.py main main create_args synthesis FeaturePredictNetLoss LocationSensitiveAttention Decoder Encoder FeaturePredictNet ConvBlock PostNet PreNet _mel_to_linear load_wav _build_mel_basis inv_melspectrogram _linear_to_mel _preemphasis get_hop_size melspectrogram _amp_to_db inv_spectrogram _istft save_wav _denormalize _db_to_amp _normalize _griffin_lim _inv_preemphasis _stft spectrogram LJSpeechDataset RandomBucketBatchSampler TextAudioCollate get_mask_from_lengths Solver sequence_to_text text_to_sequence feature_dim DataLoader cuda len Adam iter next train_dir format FeaturePredictNetLoss padding_idx num_chars TextAudioCollate use_cuda print parameters RandomBucketBatchSampler FeaturePredictNet LJSpeechDataset train Solver train_csv parse_args add_argument ArgumentParser load_model eval out_dir model_path cuda makedirs create_args synthesis int16 sample_rate write astype _preemphasis _stft _amp_to_db ref_level_db abs ref_level_db _db_to_amp _denormalize _preemphasis _stft _linear_to_mel _amp_to_db abs _mel_to_linear _db_to_amp _denormalize complex exp griffin_lim_iters angle _stft rand astype pi _istft range _build_mel_basis pinv _build_mel_basis int sample_rate frame_shift_ms hop_size zeros size range item | s3nh/pytorch-tacotron2 | 3,489 |
s3nh/unet-midv500 | ['face detection'] | ['MIDV-500: A Dataset for Identity Documents Analysis and Recognition on Mobile Devices in Video Stream'] | src/dataset.py models/loss.py mid500data.py models/resnet_unet.py models/resnet18_unet.py src/train.py setup.py src/export.py src/preprocess.py models/unet.py main.py main FocalLoss dice_loss convrelu ResNetUNet Swish UNet swish dconv MidvDataset main main create_mask train_model rglob train_model list sorted RMSprop UNet parameters ReduceLROnPlateau zip empty_cache cuda sum view randn torch_model export makedirs zeros array str format imwrite join print create_mask imread keys len model zero_grad Sigmoid DataLoader save BCEWithLogitsLoss cuda MidvDataset append to sum range eval enumerate join random_split criterion backward print train step len | ### Midv500 segmentation Unet Pytorch implementation on midv500 dataset. https://arxiv.org/abs/1807.05786 Example result  | 3,490 |
s9xie/hed | ['boundary detection', 'edge detection'] | ['Holistically-Nested Edge Detection'] | python/caffe/io.py python/caffe/test/test_python_layer.py scripts/download_model_binary.py python/caffe/net_spec.py examples/hed/solve.py python/caffe/test/test_net.py tools/extra/resize_and_crop_images.py python/draw_net.py python/caffe/test/test_net_spec.py src/caffe/test/test_data/generate_sample_data.py python/caffe/draw.py python/caffe/pycaffe.py tools/extra/extract_seconds.py scripts/cpp_lint.py python/classify.py python/caffe/test/test_solver.py python/caffe/classifier.py python/caffe/test/test_python_layer_with_param_str.py tools/extra/parse_log.py python/caffe/__init__.py python/caffe/test/test_layer_type_list.py scripts/copy_notebook.py python/caffe/detector.py python/detect.py interp_surgery upsample_filt main main main parse_args Classifier Detector get_edge_label draw_net get_layer_label get_pydot_graph choose_color_by_layertype get_pooling_types_dict draw_net_to_file Transformer blobproto_to_array datum_to_array array_to_blobproto arraylist_to_blobprotovecor_str array_to_datum resize_image blobprotovector_str_to_arraylist load_image oversample Layers Function Parameters Top NetSpec assign_proto param_name_dict to_proto _Net_blobs _Net_forward_all _Net_set_input_arrays _Net_backward _Net_params _Net_forward _Net_outputs _Net_forward_backward_all _Net_blob_loss_weights _Net_batch _Net_inputs TestLayerTypeList simple_net_file TestNet lenet TestNetSpec silent_net anon_lenet exception_net_file parameter_net_file SimpleLayer TestPythonLayer ParameterLayer python_net_file ExceptionLayer SimpleParamLayer TestLayerWithParam python_param_net_file TestSolver ParseNolintSuppressions CheckVlogArguments CheckSectionSpacing FindNextMultiLineCommentEnd ReplaceAll CheckForFunctionLengths _SetOutputFormat _IsTestFilename _VerboseLevel CheckBraces RemoveMultiLineComments ResetNolintSuppressions CheckForNonStandardConstructs _SetVerboseLevel PrintUsage _NestingState CheckIncludeLine CheckAccess _CppLintState Search CheckInvalidIncrement RemoveMultiLineCommentsFromRange CleansedLines CheckForBadCharacters UpdateIncludeState FindPreviousMatchingAngleBracket CheckEmptyBlockBody FindNextMultiLineCommentStart Match _NamespaceInfo CheckMakePairUsesDeduction CheckCheck IsBlankLine _SetFilters ProcessLine _FunctionState CheckPosixThreading GetLineWidth GetHeaderGuardCPPVariable IsCppString _IncludeState CheckSpacing _ClassInfo CheckForCopyright IsErrorSuppressedByNolint ProcessFileData CheckForMultilineCommentsAndStrings CloseExpression _PreprocessorInfo _OutputFormat CheckForIncludeWhatYouUse CheckSpacingForFunctionCall FindEndOfExpressionInLine FindNextMatchingAngleBracket _SetCountingStyle ProcessFile _IncludeError CleanseRawStrings CheckAltTokens CheckForNewlineAtEOF ParseArguments CheckForNonConstReference PrintCategories _Filters main FilesBelongToSameModule CheckCStyleCast FileInfo _BlockInfo CheckForHeaderGuard CheckCaffeDataLayerSetUp ReverseCloseExpression CleanseComments _DropCommonSuffixes _ClassifyInclude CheckStyle CheckCaffeAlternatives FindStartOfExpressionInLine _ShouldPrintError CheckComment Error _GetTextInside CheckLanguage CheckCaffeRandom GetPreviousNonBlankLine reporthook parse_readme_frontmatter model_checks_out valid_dirname get_start_time extract_seconds extract_datetime_from_line get_log_created_year write_csv parse_log fix_initial_nan_learning_rate save_csv_files main parse_args parse_line_for_net_output ResizeCropImagesMapper PILResizeCrop OpenCVResizeCrop print shape upsample_filt model_def endswith ArgumentParser save mean_file channel_swap output_file dirname expanduser parse_args input_file predict Classifier set_mode_cpu load time isdir print add_argument set_mode_gpu pretrained_model gpu len DataFrame Detector format to_hdf detect_selective_search mean set_index to_csv detect_windows read_csv add_argument ArgumentParser read NetParameter output_image_file rankdir Merge draw_net_to_file items list DESCRIPTOR batch_size str num_output get_pooling_types_dict add_edge get_edge_label list Dot get_layer_label values name choose_color_by_layertype Edge Node bottom append type layer add_node top shape BlobProto extend flat extend BlobProtoVector ParseFromString BlobProtoVector extend tostring shape Datum flat data len astype float32 tile zoom tuple resize fill empty array concatenate shape tile empty array LayerParameter list NetParameter _to_proto extend Counter OrderedDict values iteritems isinstance extend add getattr setattr items layers index set outputs _forward len items _backward layers inputs index set len items asarray extend copy next _batch iter forward values len items asarray backward extend next _batch zip_longest zip iter forward values len ascontiguousarray concatenate num iter zeros next range values len NamedTemporaryFile str close write data Pooling pool1 conv2 pool2 ip1 relu1 SoftmaxWithLoss Convolution NetSpec DummyData ip2 ReLU InnerProduct label conv1 Pooling SoftmaxWithLoss Convolution DummyData ReLU InnerProduct data NetSpec DummyData Silence data2 error search add group clear compile compile compile SetOutputFormat SetCountingStyle SetFilters _Filters startswith IsErrorSuppressedByNolint _ShouldPrintError write IncrementErrorCount replace append Match group find startswith endswith range error FindNextMultiLineCommentEnd RemoveMultiLineCommentsFromRange FindNextMultiLineCommentStart rstrip find range len FindEndOfExpressionInLine range len FindStartOfExpressionInLine error min search I range len FileInfo RepositoryName sep sub ParseNolintSuppressions error startswith split GetHeaderGuardCPPVariable enumerate error enumerate error len error replace count error find error find error find error find error Search error match InnermostClass replace error escape Match Search error group Search Check error lines Count End group Begin NumLines Match raw_lines range Search error match group error Match group pop group append Search pop group append Search elided replace CheckSpacingForFunctionCall rfind error len group min CloseExpression NumLines sub find CheckComment Match range Search lines_without_raw_strings error group starting_linenum Match range Search error rfind len group ReverseCloseExpression Search Match CloseExpression find error Match CloseExpression find elided error strip group FindEndOfExpressionInLine find Match range CloseExpression len error Match finditer normalize isinstance GetLineWidth int InnermostClass CheckCheck error CheckAltTokens CheckBraces CheckSpacing CheckSectionSpacing CheckEmptyBlockBody CheckAccess GetHeaderGuardCPPVariable lines_without_raw_strings _DropCommonSuffixes RepositoryName match split CheckNextIncludeOrder CanonicalizeAlphabeticalOrder FileInfo error search group SetLastHeader match _ClassifyInclude Match pop end search set append values M rstrip replace CheckCStyleCast error _GetTextInside CheckIncludeLine search group lstrip startswith Match ResetSection Search split rfind error group ReverseCloseExpression lstrip findall Match range Search ReplaceAll error Match Search endswith replace setdefault group search CleanseComments open list FilesBelongToSameModule error search copy sub NumLines FullName keys range error search CheckPosixThreading ParseNolintSuppressions CheckVlogArguments CheckMakePairUsesDeduction CheckCaffeDataLayerSetUp CheckLanguage CheckInvalidIncrement CheckCaffeRandom CheckForNonConstReference check_fn Update CheckForNonStandardConstructs CheckStyle raw_lines CheckForMultilineCommentsAndStrings CheckCaffeAlternatives CheckForFunctionLengths CleansedLines _NestingState CheckForBadCharacters CheckForNewlineAtEOF _IncludeState RemoveMultiLineComments CheckForCopyright ResetNolintSuppressions CheckForHeaderGuard NumLines CheckCompletedBlocks CheckForIncludeWhatYouUse range ProcessLine _FunctionState Error rstrip endswith len write ProcessFileData _SetVerboseLevel range split write exit join write exit _VerboseLevel int getopt _SetOutputFormat set _SetVerboseLevel PrintCategories _SetFilters _OutputFormat PrintUsage _SetCountingStyle split getreader ParseArguments ResetErrorCounts stderr exit verbose_level PrintErrorCounts StreamReaderWriter ProcessFile getwriter int time write flush load join index int rfind datetime split getctime year strip extract_datetime_from_line get_start_time total_seconds strip write get_log_created_year close extract_datetime_from_line open float get_log_created_year compile fix_initial_nan_learning_rate search group OrderedDict append float join basename write_csv print excel parse_log save_csv_files output_dir logfile_path | ## Holistically-Nested Edge Detection Created by Saining Xie at UC San Diego ### Introduction: <img src="http://pages.ucsd.edu/~ztu/hed.jpg" width="400"> We develop a new edge detection algorithm, holistically-nested edge detection (HED), which performs image-to-image prediction by means of a deep learning model that leverages fully convolutional neural networks and deeply-supervised nets. HED automatically learns rich hierarchical representations (guided by deep supervision on side responses) that are important in order to resolve the challenging ambiguity in edge and object boundary detection. We significantly advance the state-of-the-art on the BSD500 dataset (ODS F-score of .790) and the NYU Depth dataset (ODS F-score of .746), and do so with an improved speed (0.4s per image). Detailed description of the system can be found in our [paper](http://arxiv.org/abs/1504.06375). ### Citations If you are using the code/model/data provided here in a publication, please cite our paper: @InProceedings{xie15hed, author = {"Xie, Saining and Tu, Zhuowen"}, Title = {Holistically-Nested Edge Detection}, | 3,491 |
sabarim/itis | ['interactive segmentation', 'semantic segmentation'] | ['Iteratively Trained Interactive Segmentation'] | datasets/DetectionDataset.py core/Config.py datasets/Dataset.py scripts/Datasets/EvalGrabcut.py datasets/Resize.py scripts/Datasets/EvalDAVIS.py datasets/util/PascalColormap.py network/deeplab/core/preprocess_utils.py network/FasterRCNN_utils.py core/Engine.py network/deeplab/core/xception.py datasets/PascalVOC/PascalVOC_clicks.py core/Log.py datasets/PascalVOC/PascalVOC_dios.py network/FasterRCNN.py scripts/Datasets/EvalKITTI.py datasets/KITTI/mturkers/KITTI_masked_dios.py network/FullyConnected.py network/Network.py network/deeplab/DeepLabV3Plus.py datasets/util/LaserClicks.py datasets/Grabcut/Grabcut.py datasets/PascalVOC/PascalVOC_masked_dios.py network/SegmentationOutputLayers.py datasets/DAVIS/DAVIS.py datasets/KITTI/mturkers/KITTI_mturkers_instance.py forwarding/Forwarder.py datasets/util/BoundingBox.py datasets/util/TrackingGT.py datasets/DataKeys.py datasets/PascalVOC/PascalVOC_instance.py network/deeplab/core/feature_extractor.py datasets/util/DistanceTransform.py scripts/eval_Pascal_recursive.py core/Trainer.py datasets/PascalVOC/PascalVOC.py scripts/Datasets/EvalOSVOSWorst.py network/Util.py datasets/util/ClickSampling.py core/Extractions.py network/ConvolutionalLayers.py main.py network/Resnet.py network/deeplab/common.py datasets/util/Detection.py datasets/FeedDataset.py datasets/Augmentors.py datasets/Loader.py network/Layer.py datasets/util/Normalization.py datasets/util/Util.py core/Measures.py core/Timer.py network/NetworkTower.py scripts/Datasets/EvalPascalMasked.py network/deeplab/model.py core/Util.py core/Saver.py main init_log Config Engine accumulate_extractions Log Stream measures_string_to_print compute_measures_average accumulate_measures compute_measures_for_binary_segmentation_tf compute_measures_for_binary_segmentation_summed compute_measures_for_binary_segmentation_single_image create_mxnet_dict Saver load_wider_or_deeper_mxnet_model Timer Trainer smart_shape average_gradients calculate_ious import_submodules clip_gradients FlipAugmentor BBoxJitterAugmentor parse_augmentors Augmentor GammaAugmentor AbstractDataset FileListDataset DetectionFileListDataset FeedDataset register_dataset load_dataset random_resize_and_crop bbox_crop_and_resize_fixed_size scale_with_min_size resize fixed_resize_and_crop ResizeMode object_crop_fixed_offset resize_laser_to_fixed_size_np centre_warp resize_min_short_edge_max_long_edge resize_fixed_size resize_laser_to_fixed_size resize_unchanged transform resize_random_scale_with_min_size random_crop_tensors DAVISDataset get_input_list_file postproc_2017_labels read_image_and_annotation_list read_image_and_annotation_list_2017 DAVIS2017Dataset get_input_list_file_2017 GrabcutDataset KITTIMaskedDiosDataset KITTIMturkersInstanceDataset PascalVOCDataset PascalClicksDataset PascalVOCDiosDataset get_instances read_label get_instances_for_line PascalVOCInstanceDataset PascalVOCMaskedDiosDataset encode_bbox_as_mask_np get_bbox_from_segmentation_mask_np get_bbox_from_segmentation_mask encode_bbox_as_mask get_image_area_to_sample get_sampled_locations generate_anchors _scale_enum init_anchors load_instance_seg_annotation_np get_anchor_labels _whctrs get_rpn_anchor_input _ratio_enum add_rpn_data _mkanchors get_all_anchors signed_distance_transform_np encode_extreme_points signed_distance_transform unsigned_distance_transform test_signed_distance_transform_np get_distance_transform put_labels_and_gaussians_on_laser swap_labels_at_boundary create_random_laser_clicks put_gaussians_at_clicks _test_laser_clicks normalize unnormalize save_with_pascal_colormap load_tracking_gt_KITTI load_tracking_gt_KITTI_format encodeMask generate_click_for_correction flip_coords_horizontal visualise_clicks unique_list normalise_click_maps username random_crop_image get_masked_image get_filename_without_extension resize_coords normalise_click_maps_tf resize_image decodeMask Forwarder ConvForOutput Upsampling Conv ResidualUnit ConvTranspose rpn_head FasterRCNN fastrcnn_head maskrcnn_head roi_align pairwise_intersection clip_boxes pairwise_iou area rpn_losses generate_rpn_proposals sample_fast_rcnn_targets maskrcnn_loss crop_and_resize fastrcnn_losses fastrcnn_predictions encode_bbox_target decode_bbox_target FullyConnected Layer Network get_layer_class TowerSetup NetworkTower resnet_group ResNet50Conv4 resnet_shortcut ResNet50 pretrained_resnet50_conv4 pretrained_resnet_conv4 pretrained_resnet101_conv4 resnet_bottleneck add_resnet_conv5 SegmentationSoftmax conv2d_transpose apply_dropout create_batch_norm_vars bootstrapped_ce_loss prepare_input conv2d_dilated max_pool conv2d get_activation class_balanced_ce_loss DeepLabV3Plus scale_dimension _extract_features multi_scale_logits _get_logits predict_labels refine_by_decoder predict_labels_multi_scale _split_separable_conv2d _get_branch_logits get_extra_layer_scopes get_network _preprocess_subtract_imagenet_mean _preprocess_zero_mean_unit_range _mobilenet_v2 extract_features mean_pixel pad_to_bounding_box random_crop resize_to_range get_random_scale flip_dim _crop randomly_scale_image_and_label resolve_shape Block xception_module xception_arg_scope separable_conv2d_same xception fixed_padding xception_65 stack_blocks_dense xception_block extract load_eval_dataset EvalPascalRecursive init_log main EvalDAVISDataset EvalGrabcutDataset EvalKittiDataset get_fn_with_worst_iou OSVOSWorst generate_click_for_correction EvalPascalMaskedDataset int initialize string dir Config read print Engine init_log run update items list update items list items list sorted set_shape py_func items list float sum load items get_shape global_variables create_mxnet_dict print float32 placeholder shape assign startswith swapaxes run moveaxis enumerate append open replace isinstance print encode split as_list shape enumerate concat reduce_mean zip append expand_dims clip_by_global_norm list zip minimum maximum walk_packages import_module __path__ FlipAugmentor print BBoxJitterAugmentor GammaAugmentor append float lower lower import_submodules NN resize_ copy Coords Bilinear minimum multiply float32 where maximum greater cast int32 less float round resize_random_scale_with_min_size random_crop_tensors object_crop_fixed_offset scale_with_min_size _crop copy constant concat reduce_max maximum cast int32 minimum maximum copy shape stack unstack cast int32 crop_and_resize resize_laser_to_fixed_size round minimum float32 maximum cast int32 random_uniform resize_fixed_size round minimum float32 cast int32 resize_fixed_size round set_shape partial float32 py_func zeros scale_indices nonzero set_shape float32 copy py_func decode warpAffine copy where expand_dims get_instances split setdiff1d unique append sum read_label print get_filename_without_extension array exists open reduce_max stack cast int32 reduce_min min astype stack int32 max int uint8 tuple astype zeros max uint8 set_shape py_func int list min copy where zip append max range uint8 astype copy int_list max get_all_anchors vstack _ratio_enum array hstack sqrt _whctrs round _mkanchors _whctrs _mkanchors int generate_anchors arange reshape transpose astype flatten ceil meshgrid int sum filter_box_label ones calculate_ious zeros argmax max amax len filter_box_inside reshape get_anchor_labels zeros concat shape set_shape py_func split decode astype get_bbox_from_segmentation_mask_np index unique zeros array enumerate open ones_like distance_transform_edt argmin pdf get_distance_transform nonzero argmax get_shape set_shape float32 py_func ones_like distance_transform_edt clip logical_not maximum signed_distance_transform show zeros imshow signed_distance_transform_np minimum int zeros_like swap_labels_at_boundary logical_and astype float32 shape uniform nonzero put_gaussians_at_clicks binomial randint range logical_and astype logical_not binary_erosion uniform bool binary_dilation swap_labels_at_boundary astype float32 put_gaussians_at_clicks gaussian_filter format astype create_random_laser_clicks copy save array range open hasattr concatenate hasattr concatenate fromarray quantize squeeze new astype putpalette save genfromtxt str replace glob astype items list int setdefault astype OrderedDict TrackingGtElement load_tracking_gt_KITTI_format resize_nearest_neighbor expand_dims resize_images squeeze ones cast float32 dtype cast slice shape stack set_shape int32 random_uniform decode list concatenate where shape zip range circle len uint8 setdiff1d distance_transform_edt astype delete where min flatten unique bincount label argmax max range append astype pdf ones_like prob greater where Normal append zeros range len flatten shape logical_xor append len hsv2rgb rgb2hsv zeros_like where minimum exp reshape concat shape split reshape concat log split minimum to_float maximum reverse tile minimum clip_boxes reshape size squeeze boolean_mask non_max_suppression sigmoid top_k reverse gather reduce_all split split minimum transpose maximum split expand_dims area pairwise_intersection pairwise_iou concat sample_fg_bg gather argmax pad transform_fpcoor_for_tf stop_gradient zeros avg_pool crop_and_resize sigmoid_cross_entropy_with_logits boolean_mask float32 div reduce_mean huber_loss cast to_float size sparse_softmax_cross_entropy_with_logits reduce_mean stack gather_nd huber_loss gather truediv minimum transpose size boolean_mask where map_fn top_k reverse gather to_float sigmoid_cross_entropy_with_logits size transpose logical_and sigmoid stack gather_nd reduce_mean equal import_submodules pad stop_gradient pad resnet_group max_pool resnet_group list shape list deconv_output_length as_list set_shape atrous_conv2d int concat sum float32 maximum map_fn cast int32 round map_fn sorted reverse_v2 resize_bilinear concat reduce_mean softmax append expand_dims argmax enumerate sorted multi_scale_logits argmax resize_bilinear Tensor isinstance scale_dimension sorted _get_logits resize_bilinear concat _replace crop_size merge_fn warning set_shape outputs_to_num_classes max enumerate extract_features scale_dimension atrous_rates sorted outputs_to_num_classes _extract_features refine_by_decoder _get_branch_logits decoder_output_stride separable_conv2d reshape append less_equal cond random_uniform greater_equal logical_and Assert shape stack rank pad equal greater_equal to_int32 reshape logical_and Assert shape stack rank set_shape equal greater_equal logical_and extend Assert rank random_uniform append range equal len int lin_space random_shuffle to_float to_int32 squeeze resize_bilinear shape resize_nearest_neighbor expand_dims pad fixed_padding _split_separable_conv2d _separable_conv2d l2_regularizer lower EvalPascalRecursive replace glob print imread compute_measures_for_binary_segmentation_single_image list choice zip sample print | # Iteratively Trained Interactive Segmentation ## This is an official TensorFlow implementation for [ Sabarinath Mahadevan, Paul Voigtlaender, and Bastian Leibe, "Iteratively Trained Interactive Segmentation", British Machine Vision Conference, 2018. ](http://bmvc2018.org/contents/papers/0652.pdf) ## Requirements * Python 3 * [Tensorflow](https://www.tensorflow.org/install) | 3,492 |
sachin17git/iTransfer | ['style transfer'] | ['A Neural Algorithm of Artistic Style'] | iTransfer.py | # iTransfer ### Neural-Style-Transfer iTransfer is a model based on neural style transfer to transfer arbitrary style onto arbitrary images. This trained model allows you to take an image and reproduce it with a new artistic style. Here I have used 19 layers VGG Network like the one used in this paper https://arxiv.org/abs/1508.06576 ### Content Image  ### Style Image  ### Produced Image (512 x 512) | 3,493 |
sachin17git/iTransfer-Neural-Style-Transfer | ['style transfer'] | ['A Neural Algorithm of Artistic Style'] | iTransfer.py | # iTransfer ### Neural-Style-Transfer iTransfer is a model based on neural style transfer to transfer arbitrary style onto arbitrary images. This trained model allows you to take an image and reproduce it with a new artistic style. Here I have used 19 layers VGG Network like the one used in this paper https://arxiv.org/abs/1508.06576 ### Content Image  ### Style Image  ### Produced Image (512 x 512) | 3,494 |
sachinraja13/TabStructNet | ['optical character recognition'] | ['Table Structure Recognition using Top-Down and Bottom-Up Cues'] | mrcnn/config.py build/lib/mrcnn/config.py xml_generating_postprocessor/cell_postprocessor_adj.py samples/tabnet/tabnet.py mrcnn/model.py build/lib/mrcnn/utils.py build/lib/mrcnn/parallel_model.py setup.py mrcnn/parallel_model.py mrcnn/utils.py rename_output_files/rename_maskrcnn_result_files.py build/lib/mrcnn/visualize.py val_json_generator/test_images.py mrcnn/visualize.py val_json_generator/make_json_for_cells.py build/lib/mrcnn/model.py.5b221762ae0507c11741750ec8019445.py build/lib/mrcnn/model.py _parse_requirements Config generate_structure_classification_features LSTMLayer fpn_classifier_graph weighted_sum_layer edge_conv_layer_col rpn_bbox_loss_graph MaskRCNN compose_image_meta get_samples_for_testing prepare_graph_features_row calculate_lstm_features norm_boxes_graph gauss_of_lin compute_backbone_shapes generate_sampled_gt_matrix GlobalExchange StructureDetectionLayer rpn_class_loss_graph log DetectionTargetLayer euclidean_squared trim_zeros_graph log2_graph prepare_graph_features_row_old prepare_graph_features_col_old parse_image_meta parse_image_meta_graph data_generator rpn_graph edge_conv_layer_row identity_block BatchNorm GravNet build_fpn_mask_graph adjacency_loss build_col_adj_classifier edge_features load_image_gt build_rpn_targets resnet_graph unmold_image PyramidROIAlign adjacency_loss_old apply_box_deltas_graph high_dim_dense_col denorm_boxes_graph get_balanced_samples_for_training refine_structure_detections_graph rpn_bbox_structural_loss_graph generate_random_rois detection_targets_graph build_row_adj_classifier build_detection_targets overlaps_graph CreateZeroMask mrcnn_bbox_loss_graph high_dim_dense_row conv_block batch_pack_graph ProposalLayer gauss smooth_l1_loss clip_boxes_graph mrcnn_class_loss_graph mrcnn_mask_loss_graph mold_image build_rpn_model prepare_graph_features_col GarNet DetectionLayer refine_detections_graph fpn_classifier_graph MaskRCNN weighted_sum_layer compose_image_meta rpn_bbox_loss_graph prepare_graph_features_row norm_boxes_graph gauss_of_lin compute_backbone_shapes GlobalExchange StructureDetectionLayer rpn_class_loss_graph log DetectionTargetLayer euclidean_squared trim_zeros_graph generate_sample log2_graph parse_image_meta parse_image_meta_graph data_generator rpn_graph identity_block BatchNorm GravNet build_fpn_mask_graph adjacency_loss build_col_adj_classifier load_image_gt build_rpn_targets resnet_graph unmold_image PyramidROIAlign apply_box_deltas_graph denorm_boxes_graph refine_structure_detections_graph rpn_bbox_structural_loss_graph generate_random_rois detection_targets_graph build_row_adj_classifier build_detection_targets overlaps_graph CreateZeroMask mrcnn_bbox_loss_graph conv_block batch_pack_graph ProposalLayer gauss smooth_l1_loss clip_boxes_graph mrcnn_class_loss_graph mrcnn_mask_loss_graph mold_image build_rpn_model prepare_graph_features_col GarNet DetectionLayer refine_detections_graph ParallelModel build_model compute_ap norm_boxes compute_recall apply_box_deltas compute_overlaps compute_iou resize resize_image box_refinement_graph generate_pyramid_anchors mold_mask generate_anchors compute_ap_range compute_overlaps_masks denorm_boxes unmold_mask download_trained_weights non_max_suppression minimize_mask resize_mask extract_bboxes trim_zeros compute_matches batch_slice expand_mask box_refinement Dataset display_differences draw_box display_images draw_rois draw_boxes apply_mask random_colors display_instances display_table display_weight_stats plot_overlaps plot_precision_recall display_top_masks Config generate_structure_classification_features LSTMLayer fpn_classifier_graph weighted_sum_layer edge_conv_layer_col rpn_bbox_loss_graph MaskRCNN compose_image_meta get_samples_for_testing prepare_graph_features_row calculate_lstm_features norm_boxes_graph gauss_of_lin compute_backbone_shapes generate_sampled_gt_matrix GlobalExchange StructureDetectionLayer rpn_class_loss_graph log DetectionTargetLayer euclidean_squared trim_zeros_graph log2_graph prepare_graph_features_row_old prepare_graph_features_col_old parse_image_meta parse_image_meta_graph data_generator rpn_graph edge_conv_layer_row identity_block BatchNorm GravNet build_fpn_mask_graph adjacency_loss build_col_adj_classifier edge_features load_image_gt build_rpn_targets resnet_graph unmold_image PyramidROIAlign adjacency_loss_old apply_box_deltas_graph high_dim_dense_col denorm_boxes_graph get_balanced_samples_for_training refine_structure_detections_graph rpn_bbox_structural_loss_graph generate_random_rois detection_targets_graph build_row_adj_classifier build_detection_targets overlaps_graph CreateZeroMask mrcnn_bbox_loss_graph high_dim_dense_row conv_block batch_pack_graph ProposalLayer gauss smooth_l1_loss clip_boxes_graph mrcnn_class_loss_graph mrcnn_mask_loss_graph mold_image build_rpn_model prepare_graph_features_col GarNet DetectionLayer refine_detections_graph ParallelModel build_model compute_ap norm_boxes compute_recall apply_box_deltas compute_overlaps compute_iou resize resize_image box_refinement_graph generate_pyramid_anchors mold_mask generate_anchors compute_ap_range compute_overlaps_masks denorm_boxes unmold_mask download_trained_weights non_max_suppression minimize_mask resize_mask extract_bboxes trim_zeros compute_matches batch_slice expand_mask box_refinement Dataset display_differences draw_box display_images draw_rois draw_boxes apply_mask random_colors display_instances display_table display_weight_stats plot_overlaps plot_precision_recall display_top_masks TabDataset evaluate_tabnet build_tabnet_results TabNetConfig create_object_annotation create_root get_column_structure_indices remove_overlaps get_final_table_details_without_merge recursively_remove_overlaps add_aligned_cells_to_img recursively_remove_rowwise_unaligned_cells get_aligned_column_coordinates recursively_remove_columnwise_unaligned_cells get_row_structure_indices remove_extra_indices remove_columnwise_unaligned_cells read_text_file create_cell_annotation create_root create_output_excel main get_aligned_row_coordinates remove_cells_min_height_criteria add_cells_to_img remove_rowwise_unaligned_cells get_final_table_details list map version parse_requirements array as_list transpose reduce_sum matmul expand_dims ljust size print BACKBONE callable str str conv_block identity_block range stack minimum concat maximum set_shape split minimum reshape maximum tile expand_dims split concat reduce_max boolean_mask MASK_SHAPE crop_and_resize gather box_refinement_graph round trim_zeros_graph ROI_POSITIVE_RATIO transpose squeeze pad cast expand_dims range USE_MINI_MASK overlaps_graph cond int TRAIN_ROIS_PER_IMAGE float32 greater maximum int32 split constant sequence_mask zeros_like is_nan transpose TRAIN_ROIS_PER_IMAGE float32 reduce_sum where cast SAMPLES_PER_VERTEX tile sample expand_dims equal DETECTION_MAX_INSTANCES tile BATCH_SIZE constant BATCH_SIZE zeros_like concat TRAIN_ROIS_PER_IMAGE where DETECTION_MAX_INSTANCES gather_nd cast SAMPLES_PER_VERTEX tile int32 expand_dims equal constant BATCH_SIZE zeros_like concat TRAIN_ROIS_PER_IMAGE where DETECTION_MAX_INSTANCES gather_nd cast SAMPLES_PER_VERTEX tile int32 expand_dims equal concat reduce_max boolean_mask permute_dimensions gather argmax BBOX_STD_DEV trim_zeros_graph ones squeeze less_equal logical_and pad gather_nd cast set_intersection expand_dims greater_equal apply_box_deltas_graph denorm_boxes_graph map_fn stack overlaps_graph cond minimum constant reshape clip_boxes_graph TRAIN_ROIS_PER_IMAGE greater float32 maximum logical_or int32 split concat DETECTION_MAX_INSTANCES DETECTION_MIN_CONFIDENCE permute_dimensions gather argmax BBOX_STD_DEV ones squeeze pad gather_nd cast set_intersection expand_dims apply_box_deltas_graph denorm_boxes_graph map_fn stack minimum reshape clip_boxes_graph float32 int32 zeros split Input rpn_graph int_shape less abs cast count_nonzero weighted_cross_entropy_with_logits constant sequence_mask float32 divide reduce_sum reduce_mean cast int32 tile expand_dims softmax_cross_entropy_with_logits_v2 constant sequence_mask float32 reduce_sum reduce_mean cast int32 expand_dims switch constant not_equal squeeze where mean sparse_categorical_crossentropy gather_nd cast int32 equal constant sequence_mask float32 reduce_sum reduce_mean cast tile mean_squared_error expand_dims equal IMAGES_PER_GPU batch_pack_graph switch constant smooth_l1_loss squeeze where mean gather_nd cast int32 sum equal reduce_sum sparse_softmax_cross_entropy_with_logits cast gather argmax switch constant reshape smooth_l1_loss mean int64 stack cast gather_nd gather switch constant reshape transpose mean shape int64 stack cast gather_nd gather binary_crossentropy compose_image_meta randint warning load_cell_structure_information resize_image load_mask load_structure_information_from_boxes shape MINI_MASK_SHAPE load_image augment_image minimize_mask astype resize_mask to_deterministic uint8 extract_bboxes zeros bool fliplr int ROI_POSITIVE_RATIO concatenate resize astype TRAIN_ROIS_PER_IMAGE compute_iou choice MASK_SHAPE int32 box_refinement USE_MINI_MASK zeros argmax range sum zip ones compute_overlaps choice RPN_TRAIN_ANCHORS_PER_IMAGE zeros argmax amax len int sort min hstack randint zeros max range split image_ids arange IMAGE_SHAPE compute_backbone_shapes RPN_ANCHOR_RATIOS generate_pyramid_anchors BACKBONE_STRIDES MAX_GT_INSTANCES shape expand_dims load_image_gt build_rpn_targets astype shuffle copy choice generate_random_rois build_detection_targets RPN_ANCHOR_SCALES mold_image RPN_ANCHOR_STRIDE float32 extend zeros len range concatenate range concatenate indexing_tensor concat gather_nd tile expand_dims range len range len high_dim_dense_row edge_conv_layer_row edge_conv_layer_col high_dim_dense_col print shape list array boolean_mask reduce_sum cast bool abs append range constant concat float32 cast split constant concat float32 cast split where str shape range tile print zeros count_nonzero weighted_cross_entropy_with_logits print size divide shape count_nonzero square add print image_ids arange IMAGE_SHAPE compute_backbone_shapes RPN_ANCHOR_RATIOS generate_pyramid_anchors BACKBONE_STRIDES MAX_GT_INSTANCES shape expand_dims load_image_gt build_rpn_targets astype shuffle copy choice generate_random_rois build_detection_targets RPN_ANCHOR_SCALES print mold_image RPN_ANCHOR_STRIDE float32 extend zeros len range concatenate range concatenate reset_default_graph Input zeros array range minimum maximum zeros range compute_iou T astype float32 dot sum astype delete float32 compute_iou append astype float32 stack cast float32 log astype float32 log dtype min pad resize randint max pad astype resize zeros bool range astype resize zeros bool range zeros bool astype resize arange concatenate reshape flatten sqrt meshgrid array append generate_anchors range len ones trim_zeros compute_overlaps_masks range len arange concatenate cumsum compute_matches astype float32 maximum sum range len compute_ap format print mean append compute_overlaps set argmax max len list graph_fn zip append range len print array array subplot uint8 print axis astype imshow title figure zip len list shuffle range where subplots axis open str set_title apply_mask imshow find_contours range replace set_xlim astype close copy uint8 Polygon print text write add_patch Rectangle zeros fliplr set_ylim compute_matches display_instances concatenate len subplots arange rand axis Line2D unmold_mask shape title apply_mask format set_xlim astype copy enumerate add_line print text add_patch Rectangle int32 set_ylim len format arange display_images unique append sum range format subplots set_title plot set_xlim set_ylim list format arange product yticks text xlabel tight_layout ylabel imshow figure xticks max range len subplots axis Line2D random_colors set_title apply_mask find_contours range set_xlim astype copy add_line Polygon text add_patch Rectangle int32 zeros fliplr set_ylim HTML display get_trainable_layers name weights display_table append get_weights enumerate append around range summarize display_instances open str len savefig loadRes load_image dump format class_names astype close accumulate enumerate join time build_tabnet_results uint8 evaluate COCOeval print extend rmtree makedirs str format SubElement Element str SubElement print range len IntervalTree min set append max range len remove_overlaps IntervalTree min set append float max range len int mean append median max range len remove_columnwise_unaligned_cells IntervalTree min set append float max range len remove_rowwise_unaligned_cells create_indices_dict list sorted remove_extra set intersection append str asarray IntervalTree get_x_overlap_and_containment print min remove_extra_indices set add array intersection append max range len str asarray IntervalTree print min remove_extra_indices set add array intersection append get_y_overlap_and_containment max range len int sorted list append median float keys range len int sorted list min keys append float max range len append min range len append rectangle range len int rectangle fromarray str SubElement strip sub range len fromarray str Workbook strip write add_sheet sub save range len get_column_structure_indices imwrite get_final_table_details_without_merge endswith recursively_remove_overlaps delete recursively_remove_rowwise_unaligned_cells get_aligned_column_coordinates recursively_remove_columnwise_unaligned_cells open get_row_structure_indices str COLOR_BGR2RGB shape append imread range replace read_text_file create_cell_annotation create_root create_output_excel listdir ElementTree get_aligned_row_coordinates remove_cells_min_height_criteria load add_cells_to_img print write get_final_table_details cvtColor len | # TabStructNet ## Table Structure Recognition using Top-Down and Bottom-Up Cues This code is developed using the code from 1. https://github.com/matterport/Mask_RCNN 1. https://github.com/shahrukhqasim/TIES-2.0 ``` Download necessary files. For download locations and links please refer to note.txt files in the following folders: 1. https://github.com/sachinraja13/TabStructNet/tree/master/coco_model/coco 2. https://github.com/sachinraja13/TabStructNet/tree/master/trained_model/tab/annotations 3. https://github.com/sachinraja13/TabStructNet/tree/master/trained_model/tab/logs/tab20200821T0923 | 3,495 |
saedrna/DA-U-Net | ['semantic segmentation'] | ['Deep Fusion of Local and Non-Local Features for Precision Landslide Recognition'] | code/model.py code/test.py conv2D dilated_aspp_unet aspp att_unet dilated_conv2D_layer da_u_net attention bn total_image_predict restore_model activation_fn variable atrous_conv2d conv2D concat bn conv2D sigmoid bn relu conv2D resize_images max_pooling2d relu attention bn conv2D resize_images max_pooling2d relu aspp concat dilated_conv2D_layer bn conv2D resize_images max_pooling2d relu aspp dilated_conv2D_layer attention bn join restore basename get_checkpoint_state model_checkpoint_path run uint8 format imwrite print squeeze astype restore_model expand_dims shape run append imread range len | saedrna/DA-U-Net | 3,496 |
saeid-h/bts-fully-tf | ['depth estimation', 'monocular depth estimation'] | ['From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation'] | eval_with_pngs.py bts_test.py bts_main.py bts_dataloader.py bts_eval.py utils/extract_official_train_test_set_from_mat.py bts_sequence.py bts.py utils/download_from_gdrive.py run_bts_eval_schedule.py BtsModel BtsDataloader convert_arg_line_to_args compute_errors test eval main get_num_lines get_tensors_in_checkpoint_file convert_arg_line_to_args build_tensors_in_checkpoint_file main train get_num_lines test_sequence main main convert_arg_line_to_args test get_num_lines convert_arg_line_to_args compute_errors test eval main run_eval download_file_from_google_drive convert_image split maximum mean sqrt log10 abs log readlines close open rstrip checkpoint_path initializer getmtime filenames_file get_next Saver exists Session run str sorted make_initializable_iterator add start_queue_runners format replace global_variables_initializer BtsModel FileWriter set ConfigProto local_variables_initializer int remove join time print gt_path data_path Coordinator output_directory model_name BtsDataloader filenames_file garg_crop max_depth_eval len logical_and shape append do_kb_crop range format mean eigen_crop int min_depth_eval print compute_errors float32 zeros get_num_lines bts_parameters test sorted NewCheckpointReader get_tensor append get_variable_to_shape_map list add set append get_tensor_by_name enumerate basename checkpoint_path print log_directory system model_name dirname train Saver Session run placeholder image_path append start_queue_runners glob BtsModel ConfigProto local_variables_initializer join constant print sort float32 Coordinator global_variables_initializer len test_sequence pred_path astype float32 filter eval append imread range walk len print system now get get_confirm_token save_response_content Session int imwrite uint16 astype zeros makedirs | saeid-h/bts-fully-tf | 3,497 |
safwankdb/Neural-Style-Transfer | ['style transfer'] | ['A Neural Algorithm of Artistic Style'] | styletransfer.py gram_matrix get_features closure append bmm size transpose view backward VGG zero_grad append mse_loss range | # Neural-Style-Transfer PyTorch implementation of [A Neural Algorithm of Artistic Style](https://arxiv.org/abs/1508.06576) by Leon A. Gatys, et al. <div align='center'> <img src='img/udnie.jpg' height="256px"> <img src='img/chicago_resized.jpg' height="256px"> <img src='img/last.jpg' height="256px"> </div> <div align='center'> <img src='img/mosaic.jpg' height="256px" width="256.jpg" > <img src='img/chicago_resized.jpg' height="256px"> | 3,498 |
sagachat/VLASE | ['image retrieval'] | ['VLASE: Vehicle Localization by Aggregating Semantic Edges'] | scripts/compute_vlad_descriptor.py scripts/build_vlad_vocabulary.py scripts/vlad_place_recognition.py main describeSIFT read_list load_casenet_result main VLAD XYCASENetVLAD read_records gps2coordinate get_coordinates main astype float32 IMREAD_GRAYSCALE zeros imread range SIFT detectAndCompute skip_count describeSIFT partial_fit load_casenet_result delete savez_compressed removed_class list COLOR_BGR2RGB vocabulary_file_prefix shape meshgrid input_list imread prod range asarray format hstack astype alpha float empty enumerate join src MiniBatchKMeans print reshape float32 read_list cvtColor train_list XYCASENetVLAD test_list compute VLAD extend output meters gps2coordinate array get_records top_k get_coordinates acceptance_distance_thresh read_records replace gps_type sqrt zip item deepcopy dot zeros array len | # VLASE: Vehicle Localization by Aggregating Semantic Edges VLASE is a framework to use semantic edge features from images to achieve on-road localization. Semantic edge features denote edge contours that separate pairs of distinct objects such as building-sky, roadsidewalk, and building-ground. While prior work has shown promising results by utilizing the boundary between prominent classes such as sky and building using skylines, we generalize this approach to consider semantic edge features that arise from 19 different classes. Our localization algorithm is simple, yet very powerful. We extract semantic edge features using a recently introduced CASENet architecture and utilize VLAD framework to perform image retrieval. Our experiments show that we achieve improvement over some of the state-of-the-art localization algorithms such as SIFT-VLAD and its deep variant NetVLAD. We use ablation study to study the importance of different semantic classes, and show that our unified approach achieves better performance compared to individual prominent features such as skylines. ** This code is ONLY for academic purposes. If you are interested in commercialising the code, please contact Srikumar Ramalingam ([email protected]) Paper - https://arxiv.org/abs/1807.02536 Demo video - https://youtu.be/IKZXZmmdtiA ## Pre-requisites: 1. [Casenet](http://www.merl.com/research/license#CASENet) 2. opencv-2.4.13 - Required for SIFT features and image processing | 3,499 |
Subsets and Splits
No saved queries yet
Save your SQL queries to embed, download, and access them later. Queries will appear here once saved.