Datasets:
Dataset Viewer
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221,786 |
Verifying grad_x after autograd double backprop
|
Verifying grad_x after autograd double backprop
|
verifying-grad-x-after-autograd-double-backprop
| 1 | 0 | 1 | null |
2025-07-24T13:06:12.931Z
|
2025-07-24T13:06:12.969Z
| true |
2025-07-24T13:06:12.969Z
|
regular
| false | false | null | true | false | false | null | null | null | 4 | 0 | false |
jvwilliams23
| 7 | false | null | false |
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] | null | null |
221,784 |
optim.Adam error
|
optim.Adam error
|
optim-adam-error
| 1 | 0 | 1 | null |
2025-07-24T12:31:41.805Z
|
2025-07-24T12:31:41.853Z
| true |
2025-07-24T12:31:41.853Z
|
regular
| false | false | null | true | false | false | null | null | null | 4 | 0 | false |
mohmead
| 26 | false | null | false |
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"flair_group_id": null,
"primary_group_id": null,
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] | null | null |
221,780 |
Batching a multicategorical spec
|
Batching a multicategorical spec
|
batching-a-multicategorical-spec
| 1 | 0 | 1 | null |
2025-07-24T11:34:39.452Z
|
2025-07-24T11:34:39.492Z
| true |
2025-07-24T11:34:39.492Z
|
regular
| false | false | null | true | false | false | null | null | null | 3 | 0 | false |
rsarpongstreetor
| 6 | false | null | false |
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"user_id": 74393
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] | null | null |
221,777 |
Torch profiling, why the pytorch profiler says it takes much more memory than it should be
|
Torch profiling, why the pytorch profiler says it takes much more memory than it should be
|
torch-profiling-why-the-pytorch-profiler-says-it-takes-much-more-memory-than-it-should-be
| 1 | 0 | 1 | null |
2025-07-24T09:22:48.819Z
|
2025-07-24T09:22:48.865Z
| true |
2025-07-24T09:22:48.865Z
|
regular
| false | false | null | true | false | false | null | null | null | 7 | 0 | false |
Shyngys_Aitkazinov
| 1 | false | null | false |
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"user_id": 85208
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] | null | null |
174,745 |
Getting the fx graph of submodules, instead of 'call_module' nodes?
|
Getting the fx graph of submodules, instead of ‘call_module’ nodes?
|
getting-the-fx-graph-of-submodules-instead-of-call-module-nodes
| 2 | 0 | 2 | null |
2023-03-14T00:38:06.021Z
|
2025-07-24T05:23:00.445Z
| true |
2025-07-24T05:23:00.445Z
|
regular
| false | false | null | true | false | false | null | null | null | 718 | 0 | false |
Ninja91
| 41 | false | null | false |
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"description": "Most Recent Poster",
"extras": "latest",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 85205
}
] | null | null |
217,957 |
Pytorch Build Error
|
Pytorch Build Error
|
pytorch-build-error
| 3 | 0 | 3 | null |
2025-03-17T18:27:10.227Z
|
2025-07-24T04:51:46.210Z
| true |
2025-07-24T04:51:46.210Z
|
regular
| false | false | null | true | false | false | null | null | null | 73 | 0 | false |
Hamza_Javaid
| 1 | false | null | false |
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"extras": "latest",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 84865
}
] | null | null |
221,703 |
How to share a CUDA tensor between processes
|
How to share a CUDA tensor between processes
|
how-to-share-a-cuda-tensor-between-processes
| 2 | 0 | 2 | null |
2025-07-21T15:25:44.701Z
|
2025-07-23T21:55:17.569Z
| true |
2025-07-23T22:04:18.889Z
|
regular
| false | false | null | true | false | false | null | null | null | 27 | 0 | false |
Yann
| 1 | false | null | false |
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"flair_group_id": null,
"primary_group_id": null,
"user_id": 19048
}
] | null | null |
216,518 |
NVIDIA GeForce RTX 5090 with CUDA capability sm_120 is not compatible with the current PyTorch installation
|
NVIDIA GeForce RTX 5090 with CUDA capability sm_120 is not compatible with the current PyTorch installation
|
nvidia-geforce-rtx-5090-with-cuda-capability-sm-120-is-not-compatible-with-the-current-pytorch-installation
| 16 | 9 | 16 | null |
2025-02-11T06:45:05.827Z
|
2025-07-23T14:56:09.101Z
| true |
2025-07-23T14:56:09.101Z
|
regular
| false | false | null | true | false | false | null | null | null | 7,860 | 7 | false |
ptrblck
| 26 | false | null | false |
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{
"description": "Frequent Poster",
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{
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{
"description": "Frequent Poster",
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{
"description": "Most Recent Poster",
"extras": "latest",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 3534
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] | null | null |
221,751 |
Should we apply un-normalization before computing the loss?
|
Should we apply un-normalization before computing the loss?
|
should-we-apply-un-normalization-before-computing-the-loss
| 1 | 0 | 1 | null |
2025-07-23T13:38:49.459Z
|
2025-07-23T13:38:49.546Z
| true |
2025-07-23T13:38:49.546Z
|
regular
| false | false | null | true | false | false | null | null | null | 15 | 0 | false |
Eyzzle
| 1 | false | null | false |
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"flair_group_id": null,
"primary_group_id": null,
"user_id": 83959
}
] | null | null |
221,631 |
RTX 5090 interconnection with pytorch
|
RTX 5090 interconnection with pytorch
|
rtx-5090-interconnection-with-pytorch
| 6 | 4 | 6 | null |
2025-07-18T08:31:51.623Z
|
2025-07-23T13:36:43.597Z
| true |
2025-07-23T13:36:43.597Z
|
regular
| false | false | null | true | false | false | null | null | null | 54 | 3 | false |
ptrblck
| 6 | false | null | false |
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{
"description": "Most Recent Poster",
"extras": "latest",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 3534
}
] | null | null |
221,749 |
Should we split the trajectories prior to calculating the loss for a DQN?
|
Should we split the trajectories prior to calculating the loss for a DQN?
|
should-we-split-the-trajectories-prior-to-calculating-the-loss-for-a-dqn
| 1 | 0 | 1 | null |
2025-07-23T13:01:26.078Z
|
2025-07-23T13:01:26.121Z
| true |
2025-07-23T13:01:26.121Z
|
regular
| false | false | null | true | false | false | null | null | null | 12 | 0 | false |
icarosadero
| 6 | false | null | false |
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"flair_group_id": null,
"primary_group_id": null,
"user_id": 23119
}
] | null | null |
221,281 |
Torch::cuda::is_available() always returns false
|
Torch::cuda::is_available() always returns false
|
torch-is-available-always-returns-false
| 2 | 0 | 2 | null |
2025-07-04T08:26:33.951Z
|
2025-07-15T06:56:46.817Z
| true |
2025-07-23T08:31:08.437Z
|
regular
| false | false | null | true | false | false | null | null | null | 65 | 0 | false |
qyq
| 11 | false | null | false |
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"description": "Original Poster",
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"user_id": 84940
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{
"description": "Most Recent Poster",
"extras": "latest",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 85084
}
] | null |
Torch::cuda::is_available() always returns false
|
221,742 |
How to use flight recorder in a convenient way?
|
How to use flight recorder in a convenient way?
|
how-to-use-flight-recorder-in-a-convenient-way
| 1 | 0 | 1 | null |
2025-07-23T02:14:16.023Z
|
2025-07-23T02:14:16.067Z
| true |
2025-07-23T02:14:16.067Z
|
regular
| false | false | null | true | false | false | null | null | null | 22 | 0 | false |
zzibc
| 1 | false | null | false |
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{
"description": "Original Poster, Most Recent Poster",
"extras": "latest single",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 52317
}
] | null | null |
221,738 |
Continued pre-training large models with FSDP2?
|
Continued pre-training large models with FSDP2?
|
continued-pre-training-large-models-with-fsdp2
| 2 | 0 | 2 | null |
2025-07-22T19:49:32.821Z
|
2025-07-22T22:02:05.861Z
| true |
2025-07-22T22:02:05.861Z
|
regular
| false | false | null | true | false | false | null | null | null | 25 | 0 | false |
hpcpony
| 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": 84894
}
] | null | null |
221,694 |
Model loss not decreasing even after increasing learning rate
|
Model loss not decreasing even after increasing learning rate
|
model-loss-not-decreasing-even-after-increasing-learning-rate
| 4 | 2 | 4 | null |
2025-07-21T12:02:43.294Z
|
2025-07-22T19:13:19.674Z
| true |
2025-07-22T19:13:19.674Z
|
regular
| false | false | null | true | false | false | null | null | null | 45 | 2 | false |
KFrank
| 1 | false | null | true |
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{
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"user_id": 85169
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{
"description": "Most Recent Poster, Accepted Answer",
"extras": "latest",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 18088
}
] | null | null |
221,736 |
FullyShardedDataParallel hangs depending on wrap policy for Llama-3.2-1B
|
FullyShardedDataParallel hangs depending on wrap policy for Llama-3.2-1B
|
fullyshardeddataparallel-hangs-depending-on-wrap-policy-for-llama-3-2-1b
| 1 | 0 | 1 | null |
2025-07-22T19:09:53.188Z
|
2025-07-22T19:09:53.286Z
| true |
2025-07-22T19:09:53.286Z
|
regular
| false | false | null | true | false | false | null | null | null | 21 | 0 | false |
hpcpony
| 12 | false | null | false |
[
{
"description": "Original Poster, Most Recent Poster",
"extras": "latest single",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 84894
}
] | null | null |
120,374 |
Object detection for extremely small object
|
Object detection for extremely small object
|
object-detection-for-extremely-small-object
| 2 | 0 | 2 |
2021-05-06T03:52:38.587Z
|
2025-07-22T18:23:38.022Z
| true |
2025-07-22T18:23:38.022Z
|
regular
| false | false | null | true | false | false | null | null | null | 376 | 1 | false |
mycul
| 5 | false | null | false |
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{
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"user_id": 44335
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{
"description": "Most Recent Poster",
"extras": "latest",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 77908
}
] | null | null |
|
221,718 |
Scaling Vision Transformers to 22 billion parameters
|
Scaling Vision Transformers to 22 billion parameters
|
scaling-vision-transformers-to-22-billion-parameters
| 2 | 0 | 2 | null |
2025-07-22T04:28:07.619Z
|
2025-07-22T17:11:08.051Z
| true |
2025-07-22T17:11:08.051Z
|
regular
| false | false | null | true | false | false | null | null | null | 46 | 0 | false |
ptrblck
| 1 | false | null | false |
[
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{
"description": "Most Recent Poster",
"extras": "latest",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 3534
}
] | null | null |
218,181 |
Help with training performances
|
Help with training performances
|
help-with-training-performances
| 3 | 0 | 3 | null |
2025-03-23T18:46:00.470Z
|
2025-07-22T16:00:36.568Z
| true |
2025-07-22T16:00:36.568Z
|
regular
| false | false | null | true | false | false | null | null | null | 119 | 0 | false |
CodingWookie
| 1 | false | null | false |
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"description": "Most Recent Poster",
"extras": "latest",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 85189
}
] | null | null |
221,727 |
Loss.backward() assertion failures on mps
|
Loss.backward() assertion failures on mps
|
loss-backward-assertion-failures-on-mps
| 1 | 0 | 1 | null |
2025-07-22T08:55:25.479Z
|
2025-07-22T08:55:25.530Z
| true |
2025-07-22T08:55:25.530Z
|
regular
| false | false | null | true | false | false | null | null | null | 21 | 0 | false |
roach
| 38 | false | null | false |
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"flair_group_id": null,
"primary_group_id": null,
"user_id": 76547
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] | null | null |
221,457 |
Why does init_device_mesh() or DeviceMesh() have to be called globally?
|
Why does init_device_mesh() or DeviceMesh() have to be called globally?
|
why-does-init-device-mesh-or-devicemesh-have-to-be-called-globally
| 4 | 0 | 5 | null |
2025-07-12T01:56:35.520Z
|
2025-07-22T07:32:43.980Z
| true |
2025-07-22T07:32:43.980Z
|
regular
| false | false | null | true | false | false | null | null | null | 45 | 0 | false |
irisz
| 12 | false | null | false |
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"flair_group_id": null,
"primary_group_id": null,
"user_id": 62488
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] | null | null |
221,725 |
Custom Physics-Informed Loss Function Not Converging for PINN Thermodynamics Model
|
Custom Physics-Informed Loss Function Not Converging for PINN Thermodynamics Model
|
custom-physics-informed-loss-function-not-converging-for-pinn-thermodynamics-model
| 1 | 0 | 1 |
2025-07-22T07:17:38.840Z
|
2025-07-22T07:17:38.930Z
| true |
2025-07-22T07:17:38.930Z
|
regular
| false | false | null | true | false | false | null | null | null | 26 | 0 | false |
Joyal_Jojo
| 7 | false | null | false |
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|
221,721 |
Why would functional and non-functional broadcast use `src` with different semantics?
|
Why would functional and non-functional broadcast use `src` with different semantics?
|
why-would-functional-and-non-functional-broadcast-use-src-with-different-semantics
| 1 | 0 | 1 | null |
2025-07-22T05:58:18.477Z
|
2025-07-22T05:58:18.518Z
| true |
2025-07-22T05:58:18.518Z
|
regular
| false | false | null | true | false | false | null | null | null | 15 | 0 | false |
hankzhwang
| 12 | false | null | false |
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] | null | null |
118,448 |
Do i need 'no object' example when i train a single class object detection model?
|
Do i need ‘no object’ example when i train a single class object detection model?
|
do-i-need-no-object-example-when-i-train-a-single-class-object-detection-model
| 4 | 1 | 4 | null |
2021-04-16T14:14:09.053Z
|
2025-07-22T05:00:00.302Z
| true |
2025-07-22T05:00:00.302Z
|
regular
| false | false | null | true | false | false | null | null | null | 1,707 | 1 | false |
Aditya_Sule
| 5 | false | null | false |
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"user_id": 85180
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171,935 |
Conda - Huge disk usage
|
Conda - Huge disk usage
|
conda-huge-disk-usage
| 4 | 0 | 4 | null |
2023-02-06T18:02:52.015Z
|
2025-07-22T01:56:17.962Z
| true |
2025-07-22T01:56:17.962Z
|
regular
| false | false | null | true | false | false | null | null | null | 2,868 | 0 | false |
Camaro
| 1 | false | null | false |
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"primary_group_id": null,
"user_id": 85177
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194,906 |
Left padded transformer input with causal mask
|
Left padded transformer input with causal mask
|
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Incorporating metadata into a resnet50 object detector
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Reaserch: 3D data and 2D discriminator
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Reaserch: 3D data and 2D discriminator
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CUDA error: unknown error. CUDA kernel errors might be asynchronously reported at some other API call
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Using megacache vs saving /tmp/torchinductor_root
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Using megacache vs saving /tmp/torchinductor_root
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Freezing training without no reason
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218,275 |
Segmentation fault (core dumped) in torch 2.1.0
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Segmentation fault (core dumped) in torch 2.1.0
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3 backprop vs 1 backprop for gan discriminator training
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3 backprop vs 1 backprop for gan discriminator training
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3-backprop-vs-1-backprop-for-gan-discriminator-training
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36,205 |
Inference time GPU memory management and gc
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Inference time GPU memory management and gc
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160,141 |
How to speed up small parallel nn.Linear blocks (or small parallel matrix multiplications or group convolutions)?
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How to speed up small parallel nn.Linear blocks (or small parallel matrix multiplications or group convolutions)?
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how-to-speed-up-small-parallel-nn-linear-blocks-or-small-parallel-matrix-multiplications-or-group-convolutions
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2022-08-26T19:28:05.100Z
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41,284 |
Tensorflow-esque bucket by sequence length
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Tensorflow-esque bucket by sequence length
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tensorflow-esque-bucket-by-sequence-length
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139,445 |
Docker images with different Python versions
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Docker images with different Python versions
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docker-images-with-different-python-versions
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221,665 |
[DCP] how to load dcp ckpts?
|
[DCP] how to load dcp ckpts?
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dcp-how-to-load-dcp-ckpts
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2025-07-19T08:17:36.836Z
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2025-07-21T03:00:50.317Z
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146,685 |
Pytorch Profiler not profiling GPU on Windows
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Pytorch Profiler not profiling GPU on Windows
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pytorch-profiler-not-profiling-gpu-on-windows
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2022-03-17T04:52:30.016Z
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2025-07-21T00:32:08.163Z
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2025-07-21T00:32:08.163Z
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220,817 |
How Can PyTorch Be Used to Enhance AI Models in Customer Support Systems Like Salesforce Agentforce?
|
How Can PyTorch Be Used to Enhance AI Models in Customer Support Systems Like Salesforce Agentforce?
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how-can-pytorch-be-used-to-enhance-ai-models-in-customer-support-systems-like-salesforce-agentforce
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2025-06-14T12:48:32.735Z
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221,417 |
Dist.all_gather with uneven tensor sizes
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Dist.all_gather with uneven tensor sizes
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dist-all-gather-with-uneven-tensor-sizes
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2025-07-10T17:23:20.173Z
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221,347 |
Gradient not accumulated across nodes in deepspeed code
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Gradient not accumulated across nodes in deepspeed code
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gradient-not-accumulated-across-nodes-in-deepspeed-code
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2025-07-08T07:27:38.972Z
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2025-07-20T21:57:33.154Z
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221,455 |
Does elastic torch support model parallelism
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Does elastic torch support model parallelism
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does-elastic-torch-support-model-parallelism
| 2 | 0 | 2 | null |
2025-07-12T01:37:39.350Z
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2025-07-20T21:46:59.308Z
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221,659 |
FSDP2 and gradient w.r.t. inputs
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FSDP2 and gradient w.r.t. inputs
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fsdp2-and-gradient-w-r-t-inputs
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2025-07-18T23:42:58.881Z
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221,618 |
PyTorch Model Reproducibility Issue: RTX 2080 Ti vs. RTX 4090 Ti
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PyTorch Model Reproducibility Issue: RTX 2080 Ti vs. RTX 4090 Ti
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pytorch-model-reproducibility-issue-rtx-2080-ti-vs-rtx-4090-ti
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2025-07-18T01:14:08.431Z
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2025-07-20T16:00:35.046Z
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2025-07-20T16:00:35.046Z
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81,005 |
PyTorch certification
|
PyTorch certification
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pytorch-certification
| 57 | 10 | 57 | null |
2020-05-13T10:10:35.252Z
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2025-07-20T04:14:28.284Z
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2025-07-20T04:14:28.284Z
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221,483 |
Model almost instantly produces "nan"
|
Model almost instantly produces “nan”
|
model-almost-instantly-produces-nan
| 5 | 3 | 5 | null |
2025-07-13T13:59:04.663Z
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2025-07-19T20:44:56.915Z
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221,661 |
CUDA error: an illegal memory access was encountered problem
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CUDA error: an illegal memory access was encountered problem
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cuda-error-an-illegal-memory-access-was-encountered-problem
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2025-07-19T04:33:04.794Z
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Is there any way to save multiple graphs from same model without redundantly saving their state dicts?
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Is there any way to save multiple graphs from same model without redundantly saving their state dicts?
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221,081 |
CUDA initialization: CUDA driver initialization failed
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CUDA initialization: CUDA driver initialization failed
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220,827 |
How to use torch with CUDA 12.9
|
How to use torch with CUDA 12.9
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how-to-use-torch-with-cuda-12-9
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221,648 |
Indirect Loss Computation and Backpropagation
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Indirect Loss Computation and Backpropagation
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221,651 |
PyTorch version for Cuda 12.9
|
PyTorch version for Cuda 12.9
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pytorch-version-for-cuda-12-9
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221,646 |
Dendritic Learning: An open-source upgrade to PyTorch based on modern neuroscience
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Dendritic Learning: An open-source upgrade to PyTorch based on modern neuroscience
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dendritic-learning-an-open-source-upgrade-to-pytorch-based-on-modern-neuroscience
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221,641 |
Which dataset can I use to retrain a pruned model
|
Which dataset can I use to retrain a pruned model
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which-dataset-can-i-use-to-retrain-a-pruned-model
| 1 | 0 | 1 | null |
2025-07-18T13:57:28.784Z
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2025-07-18T13:57:28.828Z
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221,640 |
ONNX dynamo export fails in 2.7 but worked in 2.3
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ONNX dynamo export fails in 2.7 but worked in 2.3
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onnx-dynamo-export-fails-in-2-7-but-worked-in-2-3
| 1 | 0 | 1 | null |
2025-07-18T13:49:49.059Z
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2025-07-18T13:49:49.105Z
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221,594 |
Code crashing without error while using pytorch profiler with_stack=True
|
Code crashing without error while using pytorch profiler with_stack=True
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code-crashing-without-error-while-using-pytorch-profiler-with-stack-true
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2025-07-18T13:18:01.809Z
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221,638 |
Do CTCHypothesis keep autograd history?
|
Do CTCHypothesis keep autograd history?
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do-ctchypothesis-keep-autograd-history
| 1 | 0 | 1 | null |
2025-07-18T12:56:36.405Z
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2025-07-18T12:56:36.456Z
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221,626 |
Compatibility of Pytorch with RTX 5080
|
Compatibility of Pytorch with RTX 5080
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compatibility-of-pytorch-with-rtx-5080
| 2 | 0 | 2 | null |
2025-07-18T06:26:46.979Z
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2025-07-18T12:29:11.303Z
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221,609 |
Extremely slow training speed on RTX 5070 Laptop GPU despite latest PyTorch & CUDA setup
|
Extremely slow training speed on RTX 5070 Laptop GPU despite latest PyTorch & CUDA setup
|
extremely-slow-training-speed-on-rtx-5070-laptop-gpu-despite-latest-pytorch-cuda-setup
| 6 | 2 | 6 | null |
2025-07-17T17:01:11.218Z
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2025-07-18T12:28:06.679Z
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221,604 |
Can't initialize NVML: Ambiguous response
|
Can’t initialize NVML: Ambiguous response
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cant-initialize-nvml-ambiguous-response
| 8 | 6 | 8 | null |
2025-07-17T08:47:23.007Z
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221,598 |
CUDA out of memory issues
|
CUDA out of memory issues
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cuda-out-of-memory-issues
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2025-07-17T06:16:26.095Z
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2025-07-18T01:13:21.099Z
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74,474 |
Obtaining outputs and attention weights from intermediate Transformer layers
|
Obtaining outputs and attention weights from intermediate Transformer layers
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obtaining-outputs-and-attention-weights-from-intermediate-transformer-layers
| 9 | 6 | 9 | null |
2020-03-26T18:26:22.738Z
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2025-07-17T21:43:48.011Z
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2025-07-17T21:43:48.011Z
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221,612 |
PyTorch support for NVIDIA RTX 5090
|
PyTorch support for NVIDIA RTX 5090
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pytorch-support-for-nvidia-rtx-5090
| 2 | 0 | 2 | null |
2025-07-17T17:05:47.439Z
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2025-07-17T21:06:45.437Z
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178,222 |
Fastest way to batch multi_dot
|
Fastest way to batch multi_dot
|
fastest-way-to-batch-multi-dot
| 3 | 1 | 3 | null |
2023-04-21T18:56:26.945Z
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2025-07-17T20:58:24.484Z
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2025-07-17T20:58:24.484Z
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regular
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221,613 |
Python Kernel crash
|
Python Kernel crash
|
python-kernel-crash
| 1 | 0 | 1 | null |
2025-07-17T17:05:50.340Z
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2025-07-17T17:05:50.487Z
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2025-07-17T17:05:50.487Z
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122,033 |
How to plot ROC Curve using PyTorch model
|
How to plot ROC Curve using PyTorch model
|
how-to-plot-roc-curve-using-pytorch-model
| 7 | 6 | 7 | null |
2021-05-22T10:40:42.609Z
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2021-05-25T18:38:44.814Z
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2025-07-17T14:04:15.614Z
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regular
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ahmediqbal
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221,509 |
NVIDIA GeForce RTX 5070 Ti with CUDA capability sm_120
|
NVIDIA GeForce RTX 5070 Ti with CUDA capability sm_120
|
nvidia-geforce-rtx-5070-ti-with-cuda-capability-sm-120
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2025-07-14T10:11:41.292Z
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2025-07-17T13:47:45.137Z
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2025-07-17T13:47:45.137Z
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151,382 |
Could not run 'aten::quantize_per_tensor' with arguments from the 'QuantizedCPU' backend
|
Could not run ‘aten::quantize_per_tensor’ with arguments from the ‘QuantizedCPU’ backend
|
could-not-run-aten-quantize-per-tensor-with-arguments-from-the-quantizedcpu-backend
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2022-05-11T09:35:15.284Z
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2025-07-17T13:03:20.085Z
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2025-07-17T13:03:20.085Z
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221,382 |
How can I successfully fine-tune a pruned LLM?
|
How can I successfully fine-tune a pruned LLM?
|
how-can-i-successfully-fine-tune-a-pruned-llm
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2025-07-09T11:35:56.843Z
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2025-07-09T16:39:47.538Z
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2025-07-17T13:00:28.603Z
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221,574 |
How to install pytorch when cuda=12.0?
|
How to install pytorch when cuda=12.0?
|
how-to-install-pytorch-when-cuda-12-0
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51,381 |
Gathering dictionaries of DistributedDataParallel
|
Gathering dictionaries of DistributedDataParallel
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gathering-dictionaries-of-distributeddataparallel
| 12 | 6 | 12 | null |
2019-07-23T12:20:19.815Z
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2025-07-17T07:10:03.989Z
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221,451 |
Building Torch as a Static Library Issues
|
Building Torch as a Static Library Issues
|
building-torch-as-a-static-library-issues
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2025-07-11T22:34:24.047Z
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2025-07-17T07:02:08.512Z
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2025-07-17T07:02:08.512Z
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Hamza_Javaid
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] | null | null |
221,404 |
Tensor sharing across multiple venvs
|
Tensor sharing across multiple venvs
|
tensor-sharing-across-multiple-venvs
| 3 | 0 | 3 | null |
2025-07-09T23:43:03.457Z
|
2025-07-17T06:54:39.090Z
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2025-07-17T06:54:39.090Z
|
regular
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Hamza_Javaid
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221,601 |
Libtorch for aarch64 linux
|
Libtorch for aarch64 linux
|
libtorch-for-aarch64-linux
| 1 | 0 | 1 | null |
2025-07-17T06:48:25.527Z
|
2025-07-17T06:48:25.567Z
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2025-07-17T06:48:25.567Z
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regular
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anyon17
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221,583 |
Why is strict hardcoded to true in module._load_from_state_dict?
|
Why is strict hardcoded to true in module._load_from_state_dict?
|
why-is-strict-hardcoded-to-true-in-module-load-from-state-dict
| 1 | 0 | 1 | null |
2025-07-16T13:26:42.769Z
|
2025-07-16T13:26:42.808Z
| true |
2025-07-17T05:06:30.520Z
|
regular
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ekf
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] | null | null |
221,586 |
Differentiating a method
|
Differentiating a method
|
differentiating-a-method
| 2 | 0 | 2 | null |
2025-07-16T17:23:09.703Z
|
2025-07-16T20:01:39.421Z
| true |
2025-07-16T20:01:39.421Z
|
regular
| false | false | null | true | false | false | null | null | null | 24 | 0 | false |
ptrblck
| 1 | false | null | false |
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] | null | null |
221,588 |
Thread safety of `AOTIModelContainerRunner::run`
|
Thread safety of `AOTIModelContainerRunner::run`
|
thread-safety-of-aotimodelcontainerrunner-run
| 1 | 0 | 1 | null |
2025-07-16T19:56:38.204Z
|
2025-07-16T19:56:38.246Z
| true |
2025-07-16T19:56:38.246Z
|
regular
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rdgq
| 11 | false | null | false |
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] | null | null |
220,878 |
Can't vmap autograd.grad over outputs
|
Can’t vmap autograd.grad over outputs
|
cant-vmap-autograd-grad-over-outputs
| 11 | 7 | 12 | null |
2025-06-17T14:34:58.576Z
|
2025-07-16T16:51:15.690Z
| true |
2025-07-16T16:51:15.690Z
|
regular
| false | false | null | true | false | false | null | null | null | 120 | 5 | false |
qq-me
| 7 | false | null | false |
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221,562 |
Autograd function returns tensor views
|
Autograd function returns tensor views
|
autograd-function-returns-tensor-views
| 2 | 0 | 2 | null |
2025-07-16T02:48:24.372Z
|
2025-07-16T14:37:12.076Z
| true |
2025-07-16T14:37:12.076Z
|
regular
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soulitzer
| 7 | false | null | true |
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] | null | null |
220,944 |
Copying params between 2 identically sharded (FSDP) networks
|
Copying params between 2 identically sharded (FSDP) networks
|
copying-params-between-2-identically-sharded-fsdp-networks
| 3 | 1 | 3 | null |
2025-06-20T11:02:43.179Z
|
2025-07-16T14:00:29.979Z
| true |
2025-07-16T14:00:29.979Z
|
regular
| false | false | null | true | false | false | null | null | null | 44 | 0 | false |
Timofey_Abramski
| 12 | false | null | false |
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175,328 |
Cannot reproduce BERT training results despite following all reproducibility guideness
|
Cannot reproduce BERT training results despite following all reproducibility guideness
|
cannot-reproduce-bert-training-results-despite-following-all-reproducibility-guideness
| 4 | 2 | 4 | null |
2023-03-19T18:52:57.421Z
|
2025-07-16T10:27:56.487Z
| true |
2025-07-16T10:27:56.487Z
|
regular
| false | false | null | true | false | false | null | null | null | 763 | 1 | false |
f3ba
| 8 | false | null | false |
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"extras": "latest",
"flair_group_id": null,
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"user_id": 24962
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] | null | null |
221,474 |
Sort YoloPose detection using Tracker ID
|
Sort YoloPose detection using Tracker ID
|
sort-yolopose-detection-using-tracker-id
| 2 | 0 | 2 | null |
2025-07-12T17:23:26.556Z
|
2025-07-12T23:58:14.018Z
| true |
2025-07-16T09:25:29.695Z
|
regular
| false | false | null | true | false | false | null | null | null | 32 | 0 | false |
neonwatty
| 5 | false | null | false |
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"flair_group_id": null,
"primary_group_id": null,
"user_id": 83318
}
] | null | null |
221,440 |
Split backward into multiple gpus
|
Split backward into multiple gpus
|
split-backward-into-multiple-gpus
| 3 | 2 | 6 | null |
2025-07-11T15:21:47.783Z
|
2025-07-16T08:39:33.875Z
| true |
2025-07-16T08:39:33.875Z
|
regular
| false | false | null | true | false | false | null | null | null | 51 | 0 | false |
mrk22
| 12 | false | null | false |
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"extras": null,
"flair_group_id": null,
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"user_id": 81227
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] | null | null |
221,571 |
Does export support quantized models with torchAo
|
Does export support quantized models with torchAo
|
does-export-support-quantized-models-with-torchao
| 1 | 0 | 1 | null |
2025-07-16T08:18:08.545Z
|
2025-07-16T08:18:08.583Z
| true |
2025-07-16T08:18:08.583Z
|
regular
| false | false | null | true | false | false | null | null | null | 16 | 0 | false |
Anis_Moncef
| 17 | false | null | false |
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"user_id": 85109
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] | null | null |
43,959 |
Does group norm maintain an running average of mean and variance?
|
Does group norm maintain an running average of mean and variance?
|
does-group-norm-maintain-an-running-average-of-mean-and-variance
| 4 | 2 | 4 | null |
2019-04-29T19:24:05.168Z
|
2025-07-16T08:09:00.846Z
| true |
2025-07-16T08:09:00.846Z
|
regular
| false | false | null | true | false | false | null | null | null | 2,580 | 6 | false |
ignasa007
| 5 | false | null | true |
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"flair_group_id": null,
"primary_group_id": null,
"user_id": 85110
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] | null | null |
221,568 |
The shapes of output in .engine is 0, but the onnx works fine
|
The shapes of output in .engine is 0, but the onnx works fine
|
the-shapes-of-output-in-engine-is-0-but-the-onnx-works-fine
| 1 | 0 | 1 | null |
2025-07-16T07:21:18.307Z
|
2025-07-16T07:21:18.344Z
| true |
2025-07-16T07:21:18.344Z
|
regular
| false | false | null | true | false | false | null | null | null | 6 | 0 | false |
Mahesh_Reddy_Tapeti
| 1 | false | null | false |
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"user_id": 84529
}
] | null | null |
221,520 |
Torchzero - modular optimization library
|
Torchzero - modular optimization library
|
torchzero-modular-optimization-library
| 1 | 0 | 1 | null |
2025-07-14T19:56:41.890Z
|
2025-07-14T19:56:41.932Z
| true |
2025-07-16T04:38:44.736Z
|
regular
| false | false | null | true | false | false | null | null | null | 43 | 1 | false |
qq-me
| 33 | false | null | false |
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"flair_group_id": null,
"primary_group_id": null,
"user_id": 75871
}
] | null | null |
179,207 |
Create a torch tensor with a device pointer
|
Create a torch tensor with a device pointer
|
create-a-torch-tensor-with-a-device-pointer
| 4 | 1 | 4 | null |
2023-05-05T11:30:39.138Z
|
2025-07-15T12:23:31.380Z
| true |
2025-07-16T04:34:02.852Z
|
regular
| false | false | null | true | false | false | null | null | null | 1,555 | 1 | false |
Mary319Horne
| 1 | false | null | false |
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"extras": "latest",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 85082
}
] | null | null |
221,522 |
NCCL timeout when reducing batch size
|
NCCL timeout when reducing batch size
|
nccl-timeout-when-reducing-batch-size
| 2 | 0 | 2 | null |
2025-07-14T22:16:09.732Z
|
2025-07-15T14:52:30.610Z
| true |
2025-07-15T14:52:30.610Z
|
regular
| false | false | null | true | false | false | null | null | null | 38 | 0 | false |
ptrblck
| 12 | false | null | false |
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"extras": "latest",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 3534
}
] | null | null |
122,247 |
Masking out locations in convolutional kernels
|
Masking out locations in convolutional kernels
|
masking-out-locations-in-convolutional-kernels
| 10 | 6 | 10 | null |
2021-05-24T21:08:20.398Z
|
2025-07-15T14:30:16.626Z
| true |
2025-07-15T14:30:16.626Z
|
regular
| false | false | null | true | false | false | null | null | null | 4,020 | 1 | false |
Ahmed_Tarek
| 5 | false | null | true |
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"extras": "latest",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 85095
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] | null | null |
221,550 |
Using CUDA Graphs output during warmup/capture
|
Using CUDA Graphs output during warmup/capture
|
using-cuda-graphs-output-during-warmup-capture
| 2 | 0 | 2 | null |
2025-07-15T14:04:07.758Z
|
2025-07-15T14:20:28.422Z
| true |
2025-07-15T14:20:28.422Z
|
regular
| false | false | null | true | false | false | null | null | null | 18 | 0 | false |
kevmo314
| 1 | false | null | true |
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"primary_group_id": null,
"user_id": 84189
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] | null | null |
221,533 |
Copy construct user warning despite using .clone().detach()
|
Copy construct user warning despite using .clone().detach()
|
copy-construct-user-warning-despite-using-clone-detach
| 3 | 1 | 4 | null |
2025-07-15T07:33:55.205Z
|
2025-07-15T12:58:33.800Z
| true |
2025-07-15T12:58:33.800Z
|
regular
| false | false | null | true | false | false | null | null | null | 25 | 0 | false |
MSurtel
| 1 | false | null | true |
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"extras": null,
"flair_group_id": null,
"primary_group_id": null,
"user_id": 85093
}
] | null | null |
221,496 |
Question about ModuleList
|
Question about ModuleList
|
question-about-modulelist
| 2 | 0 | 4 | null |
2025-07-14T04:34:45.011Z
|
2025-07-15T12:12:21.567Z
| true |
2025-07-15T12:12:21.567Z
|
regular
| false | false | null | true | false | false | null | null | null | 41 | 0 | false |
paulk
| 1 | false | null | false |
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"extras": "latest",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 84935
}
] | null | null |
221,531 |
Question about utilizing vmap to calculate per-sample gradient
|
Question about utilizing vmap to calculate per-sample gradient
|
question-about-utilizing-vmap-to-calculate-per-sample-gradient
| 1 | 0 | 1 | null |
2025-07-15T07:19:58.270Z
|
2025-07-15T07:19:58.369Z
| true |
2025-07-15T07:19:58.369Z
|
regular
| false | false | null | true | false | false | null | null | null | 12 | 0 | false |
ymhwang
| 1 | false | null | false |
[
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"flair_group_id": null,
"primary_group_id": null,
"user_id": 85085
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] | null | null |
221,424 |
Does INT8 Quantized Convolution Still Involve Floating-Point Operations?
|
Does INT8 Quantized Convolution Still Involve Floating-Point Operations?
|
does-int8-quantized-convolution-still-involve-floating-point-operations
| 4 | 1 | 5 | null |
2025-07-11T03:29:37.212Z
|
2025-07-14T06:59:45.798Z
| true |
2025-07-15T04:27:11.787Z
|
regular
| false | false | null | true | false | false | null | null | null | 47 | 0 | false |
julie856batson
| 1 | false | null | false |
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"extras": "latest",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 85068
}
] | null | null |
221,488 |
Rendevous timeout when using torchrun
|
Rendevous timeout when using torchrun
|
rendevous-timeout-when-using-torchrun
| 1 | 0 | 1 | null |
2025-07-13T23:55:29.204Z
|
2025-07-13T23:55:29.244Z
| true |
2025-07-14T00:19:10.785Z
|
regular
| false | false | null | true | false | false | null | null | null | 19 | 0 | false |
sofia22
| 1 | false | null | false |
[
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"extras": "latest single",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 85059
}
] | null | null |
221,210 |
Distributed model saves weights different from current state dict?
|
Distributed model saves weights different from current state dict?
|
distributed-model-saves-weights-different-from-current-state-dict
| 4 | 1 | 6 | null |
2025-07-01T17:55:43.849Z
|
2025-07-11T04:42:23.778Z
| true |
2025-07-13T04:18:25.836Z
|
regular
| false | false | null | true | false | false | null | null | null | 46 | 0 | false |
Malik_Arshad
| 1 | false | null | false |
[
{
"description": "Original Poster",
"extras": null,
"flair_group_id": null,
"primary_group_id": null,
"user_id": 26909
},
{
"description": "Most Recent Poster",
"extras": "latest",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 84916
}
] | null | null |
221,456 |
Backward through the graph a second time
|
Backward through the graph a second time
|
backward-through-the-graph-a-second-time
| 3 | 1 | 4 | null |
2025-07-12T01:43:39.666Z
|
2025-07-12T22:43:48.812Z
| true |
2025-07-12T22:43:48.812Z
|
regular
| false | false | null | true | false | false | null | null | null | 37 | 0 | false |
Mohan_Krishna_Shrest
| 7 | false | null | false |
[
{
"description": "Original Poster, Most Recent Poster",
"extras": "latest",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 85042
},
{
"description": "Frequent Poster",
"extras": null,
"flair_group_id": null,
"primary_group_id": null,
"user_id": 84484
}
] | null | null |
End of preview. Expand
in Data Studio
PyTorch Forum Topics Dataset
This dataset contains topic metadata scraped from the PyTorch Community Forum. It includes comprehensive information about forum topics that can be used for various NLP tasks related to PyTorch and deep learning discussions.
Dataset Structure
Each record in the dataset contains the following fields:
id
: Unique topic identifiertitle
: Topic titleslug
: URL-friendly version of the titleposts_count
: Number of posts in the topicreply_count
: Number of replieshighest_post_number
: Highest post number in the topicimage_url
: Featured image URL (if any)created_at
: Topic creation timestamplast_posted_at
: Last activity timestampbumped
: Whether the topic was bumpedbumped_at
: Bump timestamparchetype
: Topic type (e.g., "regular")unseen
: Whether the topic is unseenlast_read_post_number
: Last read post numberunread
: Number of unread postsnew_posts
: Number of new postspinned
: Whether the topic is pinnedunpinned
: Unpinned timestampvisible
: Whether the topic is visibleclosed
: Whether the topic is closedarchived
: Whether the topic is archivednotification_level
: Notification levelbookmarked
: Whether the topic is bookmarkedliked
: Whether the topic is likedviews
: Number of viewslike_count
: Number of likeshas_summary
: Whether the topic has a summarylast_poster_username
: Username of the last postercategory_id
: Category identifierop_like_count
: Original post like countpinned_globally
: Whether pinned globallyfeatured_link
: Featured link (if any)posters
: List of users who posted in the topic
Use Cases
This dataset can be used for:
- Topic Analysis: Understanding discussion patterns in the PyTorch community
- Text Classification: Categorizing forum topics by content
- Trend Analysis: Analyzing the evolution of PyTorch-related discussions
- Community Insights: Understanding user engagement and popular topics
- Question-Answer Extraction: Identifying potential Q&A pairs for further processing
- Language Modeling: Training models on PyTorch-specific terminology and discussions
Data Collection
The data was collected using an automated scraper that:
- Respects the forum's rate limits
- Uses proper HTTP headers and session management
- Implements exponential backoff for failed requests
- Focuses on publicly available topic metadata
Ethical Considerations
- This dataset contains only publicly available information from the PyTorch forum
- No private or sensitive information is included
- The data collection process was designed to be respectful of the forum's resources
- Users should respect the original forum's terms of service when using this data
Citation
If you use this dataset in your research, please cite:
@dataset{pytorch_forum_topics_2025,
title={PyTorch Forum Topics Dataset},
author={Community Contributor},
year={2025},
url={https://huggingface.co/datasets/your-username/pytorch-forum-topics},
note={Scraped from discuss.pytorch.org}
}
Updates
This dataset was created on July 24, 2025, and contains topics available at that time. The PyTorch forum is continuously active, so newer topics may not be included.
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