FOLDER: './experiments_t2m' TEST_FOLDER: './experiments_t2m_test' NAME: 'mld_humanml' SEED_VALUE: 1234 TRAIN: BATCH_SIZE: 64 SPLIT: 'train' NUM_WORKERS: 8 PERSISTENT_WORKERS: true PRETRAINED: 'experiments_recons/vae_humanml/vae_humanml.ckpt' validation_steps: -1 validation_epochs: 50 checkpointing_steps: -1 checkpointing_epochs: 50 max_train_steps: -1 max_train_epochs: 3000 learning_rate: 1e-4 lr_scheduler: "cosine" lr_warmup_steps: 1000 adam_beta1: 0.9 adam_beta2: 0.999 adam_weight_decay: 0.0 adam_epsilon: 1e-08 max_grad_norm: 1.0 model_ema: false model_ema_steps: 32 model_ema_decay: 0.999 VAL: BATCH_SIZE: 32 SPLIT: 'test' NUM_WORKERS: 12 PERSISTENT_WORKERS: true TEST: BATCH_SIZE: 32 SPLIT: 'test' NUM_WORKERS: 12 PERSISTENT_WORKERS: true CHECKPOINTS: 'experiments_t2m/mld_humanml/mld_humanml.ckpt' # Testing Args REPLICATION_TIMES: 20 MM_NUM_SAMPLES: 100 MM_NUM_REPEATS: 30 MM_NUM_TIMES: 10 DIVERSITY_TIMES: 300 DO_MM_TEST: true DATASET: NAME: 'humanml3d' SMPL_PATH: './deps/smpl' WORD_VERTILIZER_PATH: './deps/glove/' HUMANML3D: FRAME_RATE: 20.0 UNIT_LEN: 4 ROOT: './datasets/humanml3d' CONTROL_ARGS: CONTROL: false TEMPORAL: false TRAIN_JOINTS: [0] TEST_JOINTS: [0] TRAIN_DENSITY: 'random' TEST_DENSITY: 100 MEAN_STD_PATH: './datasets/humanml_spatial_norm' SAMPLER: MAX_LEN: 200 MIN_LEN: 40 MAX_TEXT_LEN: 20 PADDING_TO_MAX: false WINDOW_SIZE: null METRIC: DIST_SYNC_ON_STEP: true TYPE: ['TM2TMetrics'] model: target: ['motion_vae', 'text_encoder', 'denoiser', 'scheduler_ddim', 'noise_optimizer'] latent_dim: [16, 32] guidance_scale: 7.5 guidance_uncondp: 0.1 t2m_textencoder: dim_word: 300 dim_pos_ohot: 15 dim_text_hidden: 512 dim_coemb_hidden: 512 t2m_motionencoder: dim_move_hidden: 512 dim_move_latent: 512 dim_motion_hidden: 1024 dim_motion_latent: 512 bert_path: './deps/distilbert-base-uncased' clip_path: './deps/clip-vit-large-patch14' t5_path: './deps/sentence-t5-large' t2m_path: './deps/t2m/'