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214,376 |
[Bug] Memory leak in C++ libtorch
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[Bug] Memory leak in C++ libtorch
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2024-12-18T23:19:15.780Z
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214,395 |
SIGILL from the precompiled old LibTorch
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SIGILL from the precompiled old LibTorch
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183,019 |
NNPACK unsupported hardware despite AVX2 and 3-level cache hierarchy available (on Docker)
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NNPACK unsupported hardware despite AVX2 and 3-level cache hierarchy available (on Docker)
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nnpack-unsupported-hardware-despite-avx2-and-3-level-cache-hierarchy-available-on-docker
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214,389 |
Pytorch 2 Export QAT is training
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Pytorch 2 Export QAT is training
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pytorch-2-export-qat-is-training
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2024-12-19T05:17:39.134Z
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214,357 |
How to load a large text file into datasets for pretraining llm
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How to load a large text file into datasets for pretraining llm
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how-to-load-a-large-text-file-into-datasets-for-pretraining-llm
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2024-12-18T09:53:07.657Z
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214,310 |
Reduce time to first kernel when using CUDA graphs
|
Reduce time to first kernel when using CUDA graphs
|
reduce-time-to-first-kernel-when-using-cuda-graphs
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32,153 |
The differences between torch.mul(A,B) and A*B
|
The differences between torch.mul(A,B) and A*B
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the-differences-between-torch-mul-a-b-and-a-b
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2018-12-14T15:07:48.517Z
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214,360 |
I met strange error when train rwkv
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I met strange error when train rwkv
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i-met-strange-error-when-train-rwkv
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2024-12-18T13:10:15.024Z
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214,336 |
Is it safe to assume labels will be the same for two different directories using datasets.ImageFolder
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Is it safe to assume labels will be the same for two different directories using datasets.ImageFolder
|
is-it-safe-to-assume-labels-will-be-the-same-for-two-different-directories-using-datasets-imagefolder
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2024-12-17T21:53:56.157Z
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2024-12-19T02:42:54.893Z
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214,380 |
How can I prevent infinity value after switching from float32 to float16?
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How can I prevent infinity value after switching from float32 to float16?
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how-can-i-prevent-infinity-value-after-switching-from-float32-to-float16
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214,243 |
Unable to import torch after update no module torch._utils
|
Unable to import torch after update no module torch._utils
|
unable-to-import-torch-after-update-no-module-torch-utils
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2024-12-15T11:34:25.337Z
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214,378 |
Faster R-CNN Over-Detecting
|
Faster R-CNN Over-Detecting
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faster-r-cnn-over-detecting
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213,658 |
Autograd graph traversal
|
Autograd graph traversal
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autograd-graph-traversal
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2024-12-01T13:15:22.254Z
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2024-12-18T23:35:26.182Z
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2024-12-18T23:35:26.182Z
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108,659 |
How to create a LSTM with 'one to many'
|
How to create a LSTM with ‘one to many’
|
how-to-create-a-lstm-with-one-to-many
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2021-01-13T01:34:04.051Z
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2024-12-18T22:09:34.925Z
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2024-12-18T22:09:34.925Z
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regular
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167,988 |
Confusing with the implementation of Many to Many LSTM
|
Confusing with the implementation of Many to Many LSTM
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confusing-with-the-implementation-of-many-to-many-lstm
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2022-12-10T05:05:25.877Z
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214,200 |
Compiling a model that uses sdp_kernel to enable the backends does not work
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Compiling a model that uses sdp_kernel to enable the backends does not work
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compiling-a-model-that-uses-sdp-kernel-to-enable-the-backends-does-not-work
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214,228 |
Pytorch start training process stucked when blocking GPU 0
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Pytorch start training process stucked when blocking GPU 0
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pytorch-start-training-process-stucked-when-blocking-gpu-0
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2024-12-14T17:55:33.286Z
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2024-12-18T18:04:11.216Z
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2024-12-18T18:04:11.216Z
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214,370 |
LoRA + DP-SGD tutorial
|
LoRA + DP-SGD tutorial
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lora-dp-sgd-tutorial
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2024-12-18T17:58:21.594Z
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2024-12-18T17:58:21.642Z
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2024-12-18T17:58:21.642Z
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214,164 |
Efficient single object detector
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Efficient single object detector
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efficient-single-object-detector
| 6 | 3 | 6 | null |
2024-12-12T18:33:33.575Z
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2024-12-18T17:00:44.088Z
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2024-12-18T17:00:44.088Z
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183,235 |
How to apply layernorm to image data with shape N C H W?
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How to apply layernorm to image data with shape N C H W?
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how-to-apply-layernorm-to-image-data-with-shape-n-c-h-w
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2023-07-01T02:09:01.208Z
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2024-12-18T09:46:58.511Z
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214,324 |
Checking termination condition is exceptionally slow
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Checking termination condition is exceptionally slow
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checking-termination-condition-is-exceptionally-slow
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2024-12-17T16:53:47.241Z
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2024-12-18T08:55:09.146Z
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128,743 |
Relationship of libtorch and pytorch (Do I need Libtorch if I already pip installed pytorch)
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Relationship of libtorch and pytorch (Do I need Libtorch if I already pip installed pytorch)
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relationship-of-libtorch-and-pytorch-do-i-need-libtorch-if-i-already-pip-installed-pytorch
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2021-08-06T09:56:38.013Z
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2024-12-18T07:47:38.942Z
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179,147 |
Using both libtorch c++ and python API
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Using both libtorch c++ and python API
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using-both-libtorch-c-and-python-api
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2023-05-04T15:36:48.839Z
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214,096 |
Encoder-Bottleneck-Decoder Unet Based Semantic Segmentation
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Encoder-Bottleneck-Decoder Unet Based Semantic Segmentation
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encoder-bottleneck-decoder-unet-based-semantic-segmentation
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2024-12-11T10:13:08.305Z
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2024-12-18T06:52:53.050Z
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214,280 |
Running PyTorch to use artificial intelligence to generate images with Nvidia GTX 1650Ti
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Running PyTorch to use artificial intelligence to generate images with Nvidia GTX 1650Ti
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running-pytorch-to-use-artificial-intelligence-to-generate-images-with-nvidia-gtx-1650ti
| 15 | 14 | 15 | null |
2024-12-16T16:16:36.476Z
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2024-12-17T16:58:10.513Z
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2024-12-18T00:23:36.853Z
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6,522 |
When should you save_for_backward vs. storing in ctx
|
When should you save_for_backward vs. storing in ctx
|
when-should-you-save-for-backward-vs-storing-in-ctx
| 12 | 6 | 12 | null |
2017-08-21T16:44:01.465Z
|
2024-12-17T23:25:14.877Z
| true |
2024-12-17T23:25:14.877Z
|
regular
| false | false | null | true | false | false | null | null | null | 11,863 | 12 | false |
soulitzer
| 1 | false | null | false |
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] | null | null |
214,304 |
Cutlass custom kernel integration in Pytorch
|
Cutlass custom kernel integration in Pytorch
|
cutlass-custom-kernel-integration-in-pytorch
| 3 | 1 | 3 | null |
2024-12-17T11:16:38.632Z
|
2024-12-17T15:03:16.594Z
| true |
2024-12-17T23:03:36.714Z
|
regular
| false | false | null | true | false | false | null | null | null | 329 | 0 | false |
Izan_C_G
| 11 | false | null | false |
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214,270 |
Forward function not being compiled by default
|
Forward function not being compiled by default
|
forward-function-not-being-compiled-by-default
| 2 | 0 | 2 | null |
2024-12-16T11:43:10.958Z
|
2024-12-17T22:56:47.754Z
| true |
2024-12-17T22:56:47.754Z
|
regular
| false | false | null | true | false | false | null | null | null | 167 | 1 | false |
soulitzer
| 41 | false | null | true |
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"extras": "latest",
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}
] | null | null |
214,326 |
Optimizing difference of two outer products help
|
Optimizing difference of two outer products help
|
optimizing-difference-of-two-outer-products-help
| 2 | 0 | 2 | null |
2024-12-17T17:23:18.739Z
|
2024-12-17T21:31:49.025Z
| true |
2024-12-17T21:31:49.025Z
|
regular
| false | false | null | true | false | false | null | null | null | 19 | 1 | false |
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| 1 | false | null | false |
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}
] | null | null |
214,334 |
How to beat LSTM in time series regression preferably with transformer?
|
How to beat LSTM in time series regression preferably with transformer?
|
how-to-beat-lstm-in-time-series-regression-preferably-with-transformer
| 1 | 0 | 1 | null |
2024-12-17T21:00:34.298Z
|
2024-12-17T21:00:34.336Z
| true |
2024-12-17T21:00:34.336Z
|
regular
| false | false | null | true | false | false | null | null | null | 94 | 0 | false |
Rajesh_Singh
| 1 | false | null | false |
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] | null | null |
214,325 |
Quantized GLU not implemented?
|
Quantized GLU not implemented?
|
quantized-glu-not-implemented
| 2 | 0 | 2 | null |
2024-12-17T17:01:00.816Z
|
2024-12-17T19:49:39.548Z
| true |
2024-12-17T19:49:39.548Z
|
regular
| false | false | null | true | false | false | null | null | null | 171 | 0 | false |
iliasslasri
| 17 | false | null | false |
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] | null | null |
213,925 |
Temporal Fusion Transformer Error
|
Temporal Fusion Transformer Error
|
temporal-fusion-transformer-error
| 3 | 1 | 3 | null |
2024-12-06T20:29:08.583Z
|
2024-12-17T19:48:46.480Z
| true |
2024-12-17T19:48:46.480Z
|
regular
| false | false | null | true | false | false | null | null | null | 263 | 0 | false |
Juan_pablo_Mazo_quin
| 1 | false | null | false |
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] | null | null |
214,331 |
Taking advantage of sparsity with FlexAttention
|
Taking advantage of sparsity with FlexAttention
|
taking-advantage-of-sparsity-with-flexattention
| 1 | 0 | 1 | null |
2024-12-17T19:24:08.318Z
|
2024-12-17T19:24:08.359Z
| true |
2024-12-17T19:24:08.359Z
|
regular
| false | false | null | true | false | false | null | null | null | 133 | 1 | false |
cajoek
| 1 | false | null | false |
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"primary_group_id": null,
"user_id": 53185
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] | null | null |
214,319 |
Modifying GPU operators
|
Modifying GPU operators
|
modifying-gpu-operators
| 2 | 0 | 2 | null |
2024-12-17T15:15:56.744Z
|
2024-12-17T18:36:06.932Z
| true |
2024-12-17T18:36:06.932Z
|
regular
| false | false | null | true | false | false | null | null | null | 219 | 2 | false |
ptrblck
| 1 | false | null | false |
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"extras": "latest",
"flair_group_id": null,
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}
] | null | null |
214,314 |
MAML Implementation failing to adapt to new tasks
|
MAML Implementation failing to adapt to new tasks
|
maml-implementation-failing-to-adapt-to-new-tasks
| 1 | 0 | 1 |
2024-12-17T13:48:29.167Z
|
2024-12-17T13:48:29.236Z
| true |
2024-12-17T17:57:30.895Z
|
regular
| false | false | null | true | false | false | null | null | null | 164 | 0 | false |
Vulcan88
| 6 | false | null | false |
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"flair_group_id": null,
"primary_group_id": null,
"user_id": 81535
}
] | null | null |
|
214,161 |
Recommended way to modify the Adam optimizer?
|
Recommended way to modify the Adam optimizer?
|
recommended-way-to-modify-the-adam-optimizer
| 4 | 2 | 4 | null |
2024-12-12T17:34:14.096Z
|
2024-12-17T16:41:15.255Z
| true |
2024-12-17T16:41:15.255Z
|
regular
| false | false | null | true | false | false | null | null | null | 386 | 0 | false |
ptrblck
| 1 | false | null | false |
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"flair_group_id": null,
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"user_id": 3534
}
] | null | null |
214,045 |
Any faster and memory-efficient alternative of torch.autograd.functional.jacobian(model.decoder, latent_l)?
|
Any faster and memory-efficient alternative of torch.autograd.functional.jacobian(model.decoder, latent_l)?
|
any-faster-and-memory-efficient-alternative-of-torch-autograd-functional-jacobian-model-decoder-latent-l
| 4 | 2 | 4 | null |
2024-12-10T11:54:03.056Z
|
2024-12-17T16:02:40.912Z
| true |
2024-12-17T16:02:40.912Z
|
regular
| false | false | null | true | false | false | null | null | null | 74 | 2 | false |
Jimut123
| 7 | false | null | true |
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"extras": null,
"flair_group_id": null,
"primary_group_id": null,
"user_id": 41396
}
] | null | null |
214,316 |
Can MPS profiles be inspected by non closed-source software? Where are they stored?
|
Can MPS profiles be inspected by non closed-source software? Where are they stored?
|
can-mps-profiles-be-inspected-by-non-closed-source-software-where-are-they-stored
| 1 | 0 | 1 | null |
2024-12-17T14:12:17.965Z
|
2024-12-17T14:12:18.009Z
| true |
2024-12-17T15:31:06.343Z
|
regular
| false | false | null | true | false | false | null | null | null | 27 | 0 | false |
Aknw_Fen
| 38 | false | null | false |
[
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"extras": "latest single",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 81089
}
] | null | null |
214,237 |
Questions Regarding the Direction of Half Padding for Odd-Sized Inputs in PyTorch Conv2D and ConvTransposed2D
|
Questions Regarding the Direction of Half Padding for Odd-Sized Inputs in PyTorch Conv2D and ConvTransposed2D
|
questions-regarding-the-direction-of-half-padding-for-odd-sized-inputs-in-pytorch-conv2d-and-convtransposed2d
| 2 | 0 | 2 |
2024-12-15T07:28:33.352Z
|
2024-12-17T13:51:47.078Z
| true |
2024-12-17T13:51:47.078Z
|
regular
| false | false | null | true | false | false | null | null | null | 74 | 0 | false |
mx34kryce
| 1 | false | null | false |
[
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"flair_group_id": null,
"primary_group_id": null,
"user_id": 81511
}
] | null | null |
|
204,505 |
How to Fine-Tune Pre-Trained Stable Diffusion Models Using Custom Images
|
How to Fine-Tune Pre-Trained Stable Diffusion Models Using Custom Images
|
how-to-fine-tune-pre-trained-stable-diffusion-models-using-custom-images
| 2 | 0 | 2 |
2024-06-12T13:46:25.828Z
|
2024-12-17T13:25:20.197Z
| true |
2024-12-17T13:25:20.197Z
|
regular
| false | false | null | true | false | false | null | null | null | 338 | 0 | false |
ritabratamaiti
| 5 | false | null | false |
[
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"extras": "latest",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 80967
}
] | null | null |
|
214,210 |
Problems with fork() in DataLoader with num_workers > 1
|
Problems with fork() in DataLoader with num_workers > 1
|
problems-with-fork-in-dataloader-with-num-workers-1
| 3 | 0 | 3 | null |
2024-12-14T02:50:38.012Z
|
2024-12-17T11:59:06.598Z
| true |
2024-12-17T12:49:17.791Z
|
regular
| false | false | null | true | false | false | null | null | null | 377 | 0 | false |
tanhevg
| 1 | false | null | false |
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"extras": null,
"flair_group_id": null,
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"user_id": 3534
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] | null | null |
214,303 |
Error in Encoder Decoder Based Model
|
Error in Encoder Decoder Based Model
|
error-in-encoder-decoder-based-model
| 1 | 0 | 1 | null |
2024-12-17T10:53:49.759Z
|
2024-12-17T10:53:49.796Z
| true |
2024-12-17T10:53:49.796Z
|
regular
| false | false | null | true | false | false | null | null | null | 66 | 0 | false |
Idrees11
| 5 | false | null | false |
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"flair_group_id": null,
"primary_group_id": null,
"user_id": 81422
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] | null | null |
214,051 |
The model trained in PyTorch produces inconsistent predictions for the same image when processed individually versus in a batch.
|
The model trained in PyTorch produces inconsistent predictions for the same image when processed individually versus in a batch.
|
the-model-trained-in-pytorch-produces-inconsistent-predictions-for-the-same-image-when-processed-individually-versus-in-a-batch
| 5 | 3 | 5 | null |
2024-12-10T13:15:22.322Z
|
2024-12-17T08:22:05.979Z
| true |
2024-12-17T08:22:05.979Z
|
regular
| false | false | null | true | false | false | null | null | null | 42 | 0 | false |
Dishant_Dua
| 1 | false | null | false |
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] | null | null |
214,297 |
I meet 3 API-calls not listed in the NVIDIA-DOC
|
I meet 3 API-calls not listed in the NVIDIA-DOC
|
i-meet-3-api-calls-not-listed-in-the-nvidia-doc
| 1 | 0 | 1 | null |
2024-12-17T06:19:03.705Z
|
2024-12-17T06:19:03.739Z
| true |
2024-12-17T06:19:03.739Z
|
regular
| false | false | null | true | false | false | null | null | null | 65 | 0 | false |
shysuen001
| 1 | false | null | false |
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"extras": "latest single",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 80843
}
] | null | null |
214,293 |
Printing weights while training
|
Printing weights while training
|
printing-weights-while-training
| 2 | 0 | 2 | null |
2024-12-17T02:30:52.890Z
|
2024-12-17T05:09:24.350Z
| true |
2024-12-17T05:09:24.350Z
|
regular
| false | false | null | true | false | false | null | null | null | 101 | 0 | false |
soulitzer
| 1 | false | null | false |
[
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{
"description": "Most Recent Poster",
"extras": "latest",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 41396
}
] | null | null |
214,264 |
GPU Support with PyTorch on Jetson Nano Using JetPack 4.6 and CUDA 10.2
|
GPU Support with PyTorch on Jetson Nano Using JetPack 4.6 and CUDA 10.2
|
gpu-support-with-pytorch-on-jetson-nano-using-jetpack-4-6-and-cuda-10-2
| 5 | 3 | 5 | null |
2024-12-16T10:11:38.507Z
|
2024-12-17T04:32:08.632Z
| true |
2024-12-17T04:32:08.632Z
|
regular
| false | false | null | true | false | false | null | null | null | 883 | 0 | false |
Sanjana_Jain
| 1 | false | null | false |
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"extras": null,
"flair_group_id": null,
"primary_group_id": null,
"user_id": 3534
}
] | null | null |
174,830 |
Confusion about Mask R CNN output
|
Confusion about Mask R CNN output
|
confusion-about-mask-r-cnn-output
| 6 | 1 | 6 | null |
2023-03-14T15:37:44.350Z
|
2024-12-17T03:21:10.718Z
| true |
2024-12-17T03:21:10.718Z
|
regular
| false | false | null | true | false | false | null | null | null | 1,254 | 1 | false |
Michael_Chee_Fu_Yoon
| 5 | false | null | false |
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"extras": "latest",
"flair_group_id": null,
"primary_group_id": null,
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] | null | null |
2,796 |
How to output weight
|
How to output weight
|
how-to-output-weight
| 10 | 6 | 12 | null |
2017-05-09T09:58:21.485Z
|
2024-12-17T02:33:35.939Z
| true |
2024-12-17T02:33:35.939Z
|
regular
| false | false | null | true | false | false | null | null | null | 65,812 | 18 | false |
Chicago_Girl
| 1 | false | null | false |
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"extras": "latest",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 81538
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] | null | null |
213,953 |
Average tensor unbind times vary drastically depending on implementation of unrelated code flows
|
Average tensor unbind times vary drastically depending on implementation of unrelated code flows
|
average-tensor-unbind-times-vary-drastically-depending-on-implementation-of-unrelated-code-flows
| 4 | 0 | 4 | null |
2024-12-08T01:00:15.218Z
|
2024-12-17T00:53:05.993Z
| true |
2024-12-17T00:53:05.993Z
|
regular
| false | false | null | true | false | false | null | null | null | 34 | 0 | false |
JPK314
| 1 | false | null | true |
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"extras": null,
"flair_group_id": null,
"primary_group_id": null,
"user_id": 50516
}
] | null | null |
214,268 |
Does autocast create copies of tensors on the fly?
|
Does autocast create copies of tensors on the fly?
|
does-autocast-create-copies-of-tensors-on-the-fly
| 3 | 1 | 3 | null |
2024-12-16T11:23:24.995Z
|
2024-12-16T17:30:40.412Z
| true |
2024-12-16T17:30:40.412Z
|
regular
| false | false | null | true | false | false | null | null | null | 39 | 1 | false |
Aknw_Fen
| 27 | false | null | true |
[
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212,063 |
How does Forward-mode AD work behind the scenes in Pytorch?
|
How does Forward-mode AD work behind the scenes in Pytorch?
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how-does-forward-mode-ad-work-behind-the-scenes-in-pytorch
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2024-10-25T00:39:14.354Z
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2024-12-16T17:14:11.709Z
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2024-12-16T17:14:11.709Z
|
regular
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soulitzer
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214,275 |
Generate a sub-2D tensor by reference
|
Generate a sub-2D tensor by reference
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generate-a-sub-2d-tensor-by-reference
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2024-12-16T15:28:23.598Z
|
2024-12-16T17:04:40.717Z
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2024-12-16T17:04:40.717Z
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214,277 |
Best way to find a specific tensor within a model
|
Best way to find a specific tensor within a model
|
best-way-to-find-a-specific-tensor-within-a-model
| 5 | 2 | 5 | null |
2024-12-16T15:35:30.104Z
|
2024-12-16T16:49:25.910Z
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2024-12-16T16:49:25.910Z
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214,261 |
Model works fine while jit gives weird results
|
Model works fine while jit gives weird results
|
model-works-fine-while-jit-gives-weird-results
| 4 | 1 | 4 |
2024-12-16T09:46:17.003Z
|
2024-12-16T16:45:54.122Z
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2024-12-16T16:45:54.122Z
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regular
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214,251 |
Autograd for duplicated index put operation
|
Autograd for duplicated index put operation
|
autograd-for-duplicated-index-put-operation
| 2 | 0 | 2 | null |
2024-12-16T02:42:21.311Z
|
2024-12-16T16:13:04.741Z
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2024-12-16T16:13:04.741Z
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111,833 |
NameError: name 'trainloader' is not defined
|
NameError: name ‘trainloader’ is not defined
|
nameerror-name-trainloader-is-not-defined
| 9 | 6 | 9 | null |
2021-02-14T04:54:04.924Z
|
2024-12-16T13:17:28.761Z
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2024-12-16T13:17:28.761Z
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214,257 |
Onnx export with dynamo using torch.cond for dynamic models
|
Onnx export with dynamo using torch.cond for dynamic models
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onnx-export-with-dynamo-using-torch-cond-for-dynamic-models
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2024-12-16T08:45:04.250Z
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2024-12-16T08:45:04.300Z
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2024-12-16T08:45:04.300Z
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183,042 |
Export to ONNX: a better story
|
Export to ONNX: a better story
|
export-to-onnx-a-better-story
| 2 | 0 | 2 | null |
2023-06-28T06:23:47.860Z
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2024-12-16T08:25:53.260Z
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2024-12-16T08:25:53.260Z
|
regular
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ionymikler
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] | null | null |
149,142 |
Installing from source error about third party eigen library
|
Installing from source error about third party eigen library
|
installing-from-source-error-about-third-party-eigen-library
| 3 | 0 | 3 | null |
2022-04-14T11:48:01.657Z
|
2024-12-16T05:56:09.921Z
| true |
2024-12-16T06:28:33.203Z
|
regular
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jingshengL
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214,252 |
Memory leaking while using shared tensor
|
Memory leaking while using shared tensor
|
memory-leaking-while-using-shared-tensor
| 1 | 0 | 1 | null |
2024-12-16T04:35:35.930Z
|
2024-12-16T04:35:35.968Z
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2024-12-16T04:35:35.968Z
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regular
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214,166 |
Why do captum's perturbation and IG treat input & target differently?
|
Why do captum’s perturbation and IG treat input & target differently?
|
why-do-captums-perturbation-and-ig-treat-input-target-differently
| 2 | 0 | 2 | null |
2024-12-12T19:36:08.888Z
|
2024-12-16T02:05:38.686Z
| true |
2024-12-16T02:09:14.449Z
|
regular
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rbelew
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214,245 |
Issue in the curve of training
|
Issue in the curve of training
|
issue-in-the-curve-of-training
| 6 | 4 | 6 |
2024-12-15T15:23:43.751Z
|
2024-12-15T21:16:13.480Z
| true |
2024-12-15T21:16:13.480Z
|
regular
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ptrblck
| 5 | false | null | true |
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] | null | null |
|
212,378 |
Splitting a model with detach
|
Splitting a model with detach
|
splitting-a-model-with-detach
| 3 | 0 | 3 | null |
2024-10-31T18:16:47.014Z
|
2024-12-15T17:29:13.112Z
| true |
2024-12-15T17:29:13.112Z
|
regular
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soulitzer
| 7 | false | null | true |
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] | null | null |
212,741 |
Error when updating policy networks: Trying to backward through the graph a second time
|
Error when updating policy networks: Trying to backward through the graph a second time
|
error-when-updating-policy-networks-trying-to-backward-through-the-graph-a-second-time
| 3 | 1 | 3 | null |
2024-11-09T13:52:28.199Z
|
2024-12-15T17:27:12.045Z
| true |
2024-12-15T17:27:12.045Z
|
regular
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soulitzer
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] | null | null |
213,595 |
Looking to Contribute: Understanding PyTorch Architecture/Framework
|
Looking to Contribute: Understanding PyTorch Architecture/Framework
|
looking-to-contribute-understanding-pytorch-architecture-framework
| 2 | 0 | 3 | null |
2024-11-29T00:30:25.768Z
|
2024-12-15T17:21:21.085Z
| true |
2024-12-15T17:21:21.085Z
|
regular
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soulitzer
| 1 | false | null | false |
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] | null | null |
214,246 |
Adding softmax layer with crossentropy
|
Adding softmax layer with crossentropy
|
adding-softmax-layer-with-crossentropy
| 2 | 0 | 2 | null |
2024-12-15T15:31:16.823Z
|
2024-12-15T17:04:48.668Z
| true |
2024-12-15T17:04:48.668Z
|
regular
| false | false | null | true | false | false | null | null | null | 156 | 0 | false |
soulitzer
| 5 | false | null | false |
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}
] | null | null |
214,244 |
Scraping pytorch forums data
|
Scraping pytorch forums data
|
scraping-pytorch-forums-data
| 1 | 0 | 1 | null |
2024-12-15T14:25:10.197Z
|
2024-12-15T14:25:10.234Z
| true |
2024-12-15T14:25:10.234Z
|
regular
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Sai1
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214,232 |
How to correctly apply LayerNorm after MultiheadAttention with different input shapes (batch_first vs default)?
|
How to correctly apply LayerNorm after MultiheadAttention with different input shapes (batch_first vs default)?
|
how-to-correctly-apply-layernorm-after-multiheadattention-with-different-input-shapes-batch-first-vs-default
| 1 | 0 | 1 | null |
2024-12-15T02:16:40.683Z
|
2024-12-15T02:16:40.731Z
| true |
2024-12-15T02:56:56.116Z
|
regular
| false | false | null | true | false | false | null | null | null | 65 | 0 | false |
mux
| 14 | false | null | false |
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] | null | null |
151,913 |
Best practices to solve NaN CTC loss
|
Best practices to solve NaN CTC loss
|
best-practices-to-solve-nan-ctc-loss
| 2 | 0 | 2 | null |
2022-05-17T17:03:35.237Z
|
2024-12-14T21:47:00.397Z
| true |
2024-12-14T21:47:00.397Z
|
regular
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ApaxPhoenix
| 1 | false | null | false |
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] | null | null |
214,215 |
Saving predicted results consumes too much memory
|
Saving predicted results consumes too much memory
|
saving-predicted-results-consumes-too-much-memory
| 2 | 0 | 2 | null |
2024-12-14T04:51:01.618Z
|
2024-12-14T20:31:01.239Z
| true |
2024-12-14T20:31:01.239Z
|
regular
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ptrblck
| 1 | false | null | false |
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] | null | null |
214,226 |
Slow convolutions on CPU with autocast
|
Slow convolutions on CPU with autocast
|
slow-convolutions-on-cpu-with-autocast
| 3 | 1 | 3 | null |
2024-12-14T16:09:06.447Z
|
2024-12-14T17:25:11.751Z
| true |
2024-12-14T17:33:08.481Z
|
regular
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Aknw_Fen
| 27 | false | null | false |
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213,212 |
Unable to update a latent vector using custom loss function
|
Unable to update a latent vector using custom loss function
|
unable-to-update-a-latent-vector-using-custom-loss-function
| 2 | 0 | 2 | null |
2024-11-20T15:51:08.105Z
|
2024-12-14T03:10:43.281Z
| true |
2024-12-14T03:10:43.281Z
|
regular
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soulitzer
| 7 | false | null | false |
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] | null | null |
191,096 |
DDP num_workers>0 CUDA error
|
DDP num_workers>0 CUDA error
|
ddp-num-workers-0-cuda-error
| 4 | 0 | 4 | null |
2023-11-02T02:07:27.042Z
|
2024-12-14T02:53:31.713Z
| true |
2024-12-14T02:53:31.713Z
|
regular
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tanhevg
| 1 | false | null | false |
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214,199 |
Is this example correct? `weights_only=True`?
|
Is this example correct? `weights_only=True`?
|
is-this-example-correct-weights-only-true
| 2 | 0 | 2 | null |
2024-12-13T14:16:09.203Z
|
2024-12-14T02:31:11.696Z
| true |
2024-12-14T02:31:11.696Z
|
regular
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soulitzer
| 1 | false | null | false |
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] | null | null |
214,209 |
Contrastive Learning Loss Function
|
Contrastive Learning Loss Function
|
contrastive-learning-loss-function
| 1 | 0 | 1 | null |
2024-12-13T20:15:02.419Z
|
2024-12-13T20:15:02.458Z
| true |
2024-12-14T00:41:05.465Z
|
regular
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Tonnar_Castellano
| 5 | false | null | false |
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213,741 |
VAE-implementation
|
VAE-implementation
|
vae-implementation
| 6 | 3 | 6 | null |
2024-12-03T11:12:08.917Z
|
2024-12-13T23:16:31.220Z
| true |
2024-12-13T23:16:31.220Z
|
regular
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Mohamed_Farag
| 1 | false | null | false |
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] | null | null |
214,178 |
Cross-entropy loss ignores labels of a specific index but throws an error
|
Cross-entropy loss ignores labels of a specific index but throws an error
|
cross-entropy-loss-ignores-labels-of-a-specific-index-but-throws-an-error
| 2 | 0 | 2 | null |
2024-12-13T02:33:20.769Z
|
2024-12-13T21:10:31.897Z
| true |
2024-12-13T21:10:31.897Z
|
regular
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ptrblck
| 1 | false | null | false |
[
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}
] | null | null |
213,931 |
How workers work under the hood?
|
How workers work under the hood?
|
how-workers-work-under-the-hood
| 3 | 1 | 3 | null |
2024-12-06T22:53:31.747Z
|
2024-12-13T19:30:01.688Z
| true |
2024-12-13T19:30:01.688Z
|
regular
| false | false | null | true | false | false | null | null | null | 65 | 1 | false |
ado_sar
| 37 | false | null | false |
[
{
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"primary_group_id": null,
"user_id": 65042
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{
"description": "Frequent Poster",
"extras": null,
"flair_group_id": null,
"primary_group_id": null,
"user_id": 3534
}
] | null | null |
214,194 |
Error:empty() received an invalid combination of arguments - got (tuple, dtype=NoneType, device=NoneType), but expected one of: * (tuple of ints size, *, tuple of names names, torch.memory_format memory_format, torch.dtype dtype, torch.layout layout, tor
|
Error:empty() received an invalid combination of arguments - got (tuple, dtype=NoneType, device=NoneType), but expected one of: * (tuple of ints size, *, tuple of names names, torch.memory_format memory_format, torch.dtype dtype, torch.layout layout, tor
|
error-empty-received-an-invalid-combination-of-arguments-got-tuple-dtype-nonetype-device-nonetype-but-expected-one-of-tuple-of-ints-size-tuple-of-names-names-torch-memory-format-memory-format-torch-dtype-dtype-torch-layout-layout-tor
| 2 | 0 | 2 | null |
2024-12-13T12:16:20.269Z
|
2024-12-13T19:10:35.709Z
| true |
2024-12-13T19:10:35.709Z
|
regular
| false | false | null | true | false | false | null | null | null | 103 | 0 | false |
albanD
| 5 | false | null | false |
[
{
"description": "Original Poster",
"extras": null,
"flair_group_id": null,
"primary_group_id": null,
"user_id": 81488
},
{
"description": "Most Recent Poster",
"extras": "latest",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 211
}
] | null | null |
213,431 |
How to Compare Custom CUDA Gradients with PyTorch's Autograd Gradients?
|
How to Compare Custom CUDA Gradients with PyTorch’s Autograd Gradients?
|
how-to-compare-custom-cuda-gradients-with-pytorchs-autograd-gradients
| 3 | 0 | 3 | null |
2024-11-26T01:04:27.643Z
|
2024-12-13T18:38:05.506Z
| true |
2024-12-13T18:38:05.506Z
|
regular
| false | false | null | true | false | false | null | null | null | 109 | 0 | false |
soulitzer
| 7 | false | null | true |
[
{
"description": "Original Poster",
"extras": null,
"flair_group_id": null,
"primary_group_id": null,
"user_id": 81123
},
{
"description": "Most Recent Poster, Accepted Answer",
"extras": "latest",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 41396
}
] | null | null |
214,064 |
Access cuDNN convolution grad input and grad weight computation function
|
Access cuDNN convolution grad input and grad weight computation function
|
access-cudnn-convolution-grad-input-and-grad-weight-computation-function
| 3 | 0 | 3 | null |
2024-12-10T16:18:12.287Z
|
2024-12-13T14:18:10.237Z
| true |
2024-12-13T14:24:11.703Z
|
regular
| false | false | null | true | false | false | null | null | null | 114 | 0 | false |
flauron
| 11 | false | null | true |
[
{
"description": "Original Poster, Most Recent Poster",
"extras": "latest",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 81429
},
{
"description": "Frequent Poster, Accepted Answer",
"extras": null,
"flair_group_id": null,
"primary_group_id": null,
"user_id": 3534
}
] | null | null |
214,192 |
Batch normalization - don't see all the parameters
|
Batch normalization - don’t see all the parameters
|
batch-normalization-dont-see-all-the-parameters
| 4 | 2 | 4 | null |
2024-12-13T11:31:33.905Z
|
2024-12-13T13:51:42.543Z
| true |
2024-12-13T13:51:42.543Z
|
regular
| false | false | null | true | false | false | null | null | null | 23 | 1 | false |
ptrblck
| 1 | false | null | true |
[
{
"description": "Original Poster",
"extras": null,
"flair_group_id": null,
"primary_group_id": null,
"user_id": 79154
},
{
"description": "Most Recent Poster, Accepted Answer",
"extras": "latest",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 3534
}
] | null | null |
214,197 |
How to Reduce Memory Usage When Implementing Sparse Attention in a Transformer Model?
|
How to Reduce Memory Usage When Implementing Sparse Attention in a Transformer Model?
|
how-to-reduce-memory-usage-when-implementing-sparse-attention-in-a-transformer-model
| 1 | 0 | 1 | null |
2024-12-13T13:43:43.380Z
|
2024-12-13T13:43:43.423Z
| true |
2024-12-13T13:43:43.423Z
|
regular
| false | false | null | true | false | false | null | null | null | 102 | 0 | false |
windows95
| 1 | false | null | false |
[
{
"description": "Original Poster, Most Recent Poster",
"extras": "latest single",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 81460
}
] | null | null |
214,095 |
Dtype different for eval and train loop with mixed prescison
|
Dtype different for eval and train loop with mixed prescison
|
dtype-different-for-eval-and-train-loop-with-mixed-prescison
| 6 | 2 | 6 | null |
2024-12-11T09:51:59.380Z
|
2024-12-12T08:06:58.415Z
| true |
2024-12-13T13:41:36.570Z
|
regular
| false | false | null | true | false | false | null | null | null | 255 | 0 | false |
m.span
| 27 | false | null | true |
[
{
"description": "Original Poster, Most Recent Poster",
"extras": "latest",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 81446
},
{
"description": "Frequent Poster, Accepted Answer",
"extras": null,
"flair_group_id": null,
"primary_group_id": null,
"user_id": 3534
}
] | null | null |
214,056 |
DistributedSampler is NOT required for FSDP on a single cluster
|
DistributedSampler is NOT required for FSDP on a single cluster
|
distributedsampler-is-not-required-for-fsdp-on-a-single-cluster
| 2 | 0 | 2 | null |
2024-12-10T14:24:33.412Z
|
2024-12-13T11:04:15.024Z
| true |
2024-12-13T11:04:15.024Z
|
regular
| false | false | null | true | false | false | null | null | null | 49 | 0 | false |
hH1sG0n3
| 12 | false | null | true |
[
{
"description": "Original Poster, Most Recent Poster, Accepted Answer",
"extras": "latest single",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 34973
}
] | null | null |
114,143 |
DDP without Distributed Sampler
|
DDP without Distributed Sampler
|
ddp-without-distributed-sampler
| 3 | 2 | 3 | null |
2021-03-09T02:58:30.737Z
|
2021-03-09T20:34:14.292Z
| true |
2024-12-13T11:01:11.069Z
|
regular
| false | false | null | true | false | false | null | null | null | 1,581 | 2 | false |
Rakshit_Kothari
| 12 | false | null | true |
[
{
"description": "Original Poster, Most Recent Poster",
"extras": "latest",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 3947
},
{
"description": "Frequent Poster, Accepted Answer",
"extras": null,
"flair_group_id": null,
"primary_group_id": null,
"user_id": 22425
}
] | null | null |
191 |
Proper way to do gradient clipping?
|
Proper way to do gradient clipping?
|
proper-way-to-do-gradient-clipping
| 23 | 16 | 27 | null |
2017-01-25T16:49:21.330Z
|
2024-12-13T09:05:55.870Z
| true |
2024-12-13T09:05:55.870Z
|
regular
| false | false | null | true | false | false | null | null | null | 92,015 | 132 | false |
JohnHerry
| 1 | false | null | false |
[
{
"description": "Original Poster",
"extras": null,
"flair_group_id": null,
"primary_group_id": null,
"user_id": 110
},
{
"description": "Frequent Poster",
"extras": null,
"flair_group_id": null,
"primary_group_id": null,
"user_id": 2
},
{
"description": "Frequent Poster",
"extras": null,
"flair_group_id": null,
"primary_group_id": null,
"user_id": 5659
},
{
"description": "Frequent Poster",
"extras": null,
"flair_group_id": null,
"primary_group_id": null,
"user_id": 5086
},
{
"description": "Most Recent Poster",
"extras": "latest",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 56566
}
] | null | null |
23,448 |
NotimplementedError while implementing GoogLeNet (v2)
|
NotimplementedError while implementing GoogLeNet (v2)
|
notimplementederror-while-implementing-googlenet-v2
| 6 | 5 | 7 | null |
2018-08-19T15:58:48.582Z
|
2024-12-13T02:44:57.096Z
| true |
2024-12-13T02:53:38.325Z
|
regular
| false | false | null | true | false | false | null | null | null | 1,506 | 1 | false |
Str.Bry
| 5 | false | null | false |
[
{
"description": "Original Poster",
"extras": null,
"flair_group_id": null,
"primary_group_id": null,
"user_id": 8965
},
{
"description": "Frequent Poster",
"extras": null,
"flair_group_id": null,
"primary_group_id": null,
"user_id": 3534
},
{
"description": "Most Recent Poster",
"extras": "latest",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 81482
}
] | null | null |
214,173 |
Kernel Dies When Testing a Quantized ResNet101 Model in PyTorch
|
Kernel Dies When Testing a Quantized ResNet101 Model in PyTorch
|
kernel-dies-when-testing-a-quantized-resnet101-model-in-pytorch
| 3 | 1 | 3 | null |
2024-12-12T20:33:54.909Z
|
2024-12-12T21:01:12.378Z
| true |
2024-12-12T21:01:12.378Z
|
regular
| false | false | null | true | false | false | null | null | null | 59 | 0 | false |
pavanpandya
| 17 | false | null | false |
[
{
"description": "Original Poster, Most Recent Poster",
"extras": "latest",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 81479
},
{
"description": "Frequent Poster",
"extras": null,
"flair_group_id": null,
"primary_group_id": null,
"user_id": 3534
}
] | null | null |
213,942 |
How to pinpoint NaN grads?
|
How to pinpoint NaN grads?
|
how-to-pinpoint-nan-grads
| 3 | 1 | 3 | null |
2024-12-07T10:27:15.422Z
|
2024-12-12T20:50:29.568Z
| true |
2024-12-12T20:50:29.568Z
|
regular
| false | false | null | true | false | false | null | null | null | 228 | 1 | false |
soulitzer
| 7 | false | null | true |
[
{
"description": "Original Poster, Accepted Answer",
"extras": null,
"flair_group_id": null,
"primary_group_id": null,
"user_id": 79050
},
{
"description": "Most Recent Poster",
"extras": "latest",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 41396
}
] | null | null |
213,434 |
Custom autograd doesn't learn as good
|
Custom autograd doesn’t learn as good
|
custom-autograd-doesnt-learn-as-good
| 4 | 2 | 5 | null |
2024-11-26T02:54:38.259Z
|
2024-12-12T20:07:43.888Z
| true |
2024-12-12T20:07:43.888Z
|
regular
| false | false | null | true | false | false | null | null | null | 42 | 1 | false |
soulitzer
| 7 | false | null | false |
[
{
"description": "Original Poster",
"extras": null,
"flair_group_id": null,
"primary_group_id": null,
"user_id": 23764
},
{
"description": "Frequent Poster",
"extras": null,
"flair_group_id": null,
"primary_group_id": null,
"user_id": 68149
},
{
"description": "Most Recent Poster",
"extras": "latest",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 41396
}
] | null | null |
214,074 |
Cutlass kernel causes no grad in backward
|
Cutlass kernel causes no grad in backward
|
cutlass-kernel-causes-no-grad-in-backward
| 2 | 0 | 2 | null |
2024-12-10T20:46:09.454Z
|
2024-12-12T16:29:03.480Z
| true |
2024-12-12T16:29:03.480Z
|
regular
| false | false | null | true | false | false | null | null | null | 154 | 1 | false |
soulitzer
| 7 | false | null | true |
[
{
"description": "Original Poster",
"extras": null,
"flair_group_id": null,
"primary_group_id": null,
"user_id": 81436
},
{
"description": "Most Recent Poster, Accepted Answer",
"extras": "latest",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 41396
}
] | null | null |
214,098 |
Faster way to only calculate some derivatives
|
Faster way to only calculate some derivatives
|
faster-way-to-only-calculate-some-derivatives
| 2 | 0 | 2 | null |
2024-12-11T10:29:15.712Z
|
2024-12-12T16:23:49.079Z
| true |
2024-12-12T16:23:49.079Z
|
regular
| false | false | null | true | false | false | null | null | null | 163 | 0 | false |
soulitzer
| 7 | false | null | true |
[
{
"description": "Original Poster",
"extras": null,
"flair_group_id": null,
"primary_group_id": null,
"user_id": 75871
},
{
"description": "Most Recent Poster, Accepted Answer",
"extras": "latest",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 41396
}
] | null | null |
213,540 |
When/why would I maybe get memory leak when storing tensors in ctx?
|
When/why would I maybe get memory leak when storing tensors in ctx?
|
when-why-would-i-maybe-get-memory-leak-when-storing-tensors-in-ctx
| 2 | 0 | 2 | null |
2024-11-27T15:49:48.569Z
|
2024-12-12T16:20:38.395Z
| true |
2024-12-12T16:20:38.395Z
|
regular
| false | false | null | true | false | false | null | null | null | 37 | 0 | false |
soulitzer
| 7 | false | null | false |
[
{
"description": "Original Poster",
"extras": null,
"flair_group_id": null,
"primary_group_id": null,
"user_id": 51970
},
{
"description": "Most Recent Poster",
"extras": "latest",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 41396
}
] | null | null |
213,468 |
activation memory
|
activation memory
|
activation-memory
| 2 | 0 | 2 | null |
2024-11-26T13:48:42.606Z
|
2024-12-12T16:08:06.342Z
| true |
2024-12-12T16:08:06.342Z
|
regular
| false | false | null | true | false | false | null | null | null | 162 | 0 | false |
soulitzer
| 7 | false | null | false |
[
{
"description": "Original Poster",
"extras": null,
"flair_group_id": null,
"primary_group_id": null,
"user_id": 81127
},
{
"description": "Most Recent Poster",
"extras": "latest",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 41396
}
] | null | null |
214,155 |
Correct way to batch custom masks in SDPA
|
Correct way to batch custom masks in SDPA
|
correct-way-to-batch-custom-masks-in-sdpa
| 1 | 0 | 1 | null |
2024-12-12T14:37:13.000Z
|
2024-12-12T14:37:13.049Z
| true |
2024-12-12T14:37:13.049Z
|
regular
| false | false | null | true | false | false | null | null | null | 65 | 0 | false |
mm23
| 8 | false | null | false |
[
{
"description": "Original Poster, Most Recent Poster",
"extras": "latest single",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 81474
}
] | null | null |
214,122 |
Problem with cuda/pytorch on Fedora
|
Problem with cuda/pytorch on Fedora
|
problem-with-cuda-pytorch-on-fedora
| 3 | 1 | 3 | null |
2024-12-11T20:38:53.217Z
|
2024-12-12T11:58:37.395Z
| true |
2024-12-12T11:58:37.395Z
|
regular
| false | false | null | true | false | false | null | null | null | 255 | 0 | false |
Michal_P
| 1 | false | null | false |
[
{
"description": "Original Poster, Most Recent Poster",
"extras": "latest",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 81457
},
{
"description": "Frequent Poster",
"extras": null,
"flair_group_id": null,
"primary_group_id": null,
"user_id": 3534
}
] | null | null |
214,140 |
Dynamic Data Reinsertion in Dataloader
|
Dynamic Data Reinsertion in Dataloader
|
dynamic-data-reinsertion-in-dataloader
| 1 | 0 | 1 | null |
2024-12-12T11:21:08.734Z
|
2024-12-12T11:21:08.806Z
| true |
2024-12-12T11:21:08.806Z
|
regular
| false | false | null | true | false | false | null | null | null | 113 | 0 | false |
Caquot_Leonard
| 37 | false | null | false |
[
{
"description": "Original Poster, Most Recent Poster",
"extras": "latest single",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 81466
}
] | null | null |
214,137 |
CNN with Custom Convolutions, loss NAN
|
CNN with Custom Convolutions, loss NAN
|
cnn-with-custom-convolutions-loss-nan
| 1 | 0 | 1 |
2024-12-12T06:44:53.771Z
|
2024-12-12T06:44:53.827Z
| true |
2024-12-12T06:44:53.827Z
|
regular
| false | false | null | true | false | false | null | null | null | 74 | 0 | false |
sharom_m
| 5 | false | null | false |
[
{
"description": "Original Poster, Most Recent Poster",
"extras": "latest single",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 81464
}
] | null | null |
|
213,890 |
Partial cuda graphs are slowere than original model?
|
Partial cuda graphs are slowere than original model?
|
partial-cuda-graphs-are-slowere-than-original-model
| 6 | 4 | 6 | null |
2024-12-06T03:02:07.536Z
|
2024-12-12T06:42:55.380Z
| true |
2024-12-12T06:42:55.380Z
|
regular
| false | false | null | true | false | false | null | null | null | 203 | 0 | false |
eliird
| 1 | false | null | false |
[
{
"description": "Original Poster, Most Recent Poster",
"extras": "latest",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 81347
},
{
"description": "Frequent Poster",
"extras": null,
"flair_group_id": null,
"primary_group_id": null,
"user_id": 3534
}
] | null | null |
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