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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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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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] | 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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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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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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] | 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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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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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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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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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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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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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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] | 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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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 | [
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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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] | 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 | [
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] | 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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] | 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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] | 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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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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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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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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] | null | null | |
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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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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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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194,906 | Left padded transformer input with causal mask | Left padded transformer input with causal mask | left-padded-transformer-input-with-causal-mask | 2 | 0 | 2 | null | 2024-01-05T19:14:57.036Z | 2025-07-21T21:46:05.372Z | true | 2025-07-21T21:46:05.372Z | regular | false | false | null | true | false | false | null | null | null | 662 | 2 | false | simpleParadox | 8 | false | null | false | [
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221,056 | Work vs. Future sync primitives for Distributed Torch backends | Work vs. Future sync primitives for Distributed Torch backends | work-vs-future-sync-primitives-for-distributed-torch-backends | 2 | 0 | 2 | null | 2025-06-25T13:42:13.540Z | 2025-07-21T20:43:23.802Z | true | 2025-07-21T20:43:23.802Z | regular | false | false | null | true | false | false | null | null | null | 40 | 0 | false | yf225 | 12 | false | null | false | [
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221,711 | Incorporating metadata into a resnet50 object detector | Incorporating metadata into a resnet50 object detector | incorporating-metadata-into-a-resnet50-object-detector | 1 | 0 | 1 | null | 2025-07-21T18:56:15.016Z | 2025-07-21T18:56:15.056Z | true | 2025-07-21T18:56:15.056Z | regular | false | false | null | true | false | false | null | null | null | 13 | 0 | false | mycul | 1 | false | null | false | [
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221,710 | Reaserch: 3D data and 2D discriminator | Reaserch: 3D data and 2D discriminator | reaserch-3d-data-and-2d-discriminator | 1 | 0 | 1 | null | 2025-07-21T18:52:51.319Z | 2025-07-21T18:52:51.362Z | true | 2025-07-21T18:52:51.362Z | regular | false | false | null | true | false | false | null | null | null | 16 | 0 | false | 40uf411 | 5 | false | null | false | [
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141,640 | CUDA error: unknown error. CUDA kernel errors might be asynchronously reported at some other API call | CUDA error: unknown error. CUDA kernel errors might be asynchronously reported at some other API call | cuda-error-unknown-error-cuda-kernel-errors-might-be-asynchronously-reported-at-some-other-api-call | 15 | 10 | 15 | null | 2022-01-14T03:48:51.168Z | 2025-07-21T16:04:43.988Z | true | 2025-07-21T16:04:43.988Z | regular | false | false | null | true | false | false | null | null | null | 14,966 | 1 | false | Liyan_Yi | 5 | false | null | false | [
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221,704 | Using megacache vs saving /tmp/torchinductor_root | Using megacache vs saving /tmp/torchinductor_root | using-megacache-vs-saving-tmp-torchinductor-root | 1 | 0 | 1 | null | 2025-07-21T15:26:31.863Z | 2025-07-21T15:26:31.903Z | true | 2025-07-21T15:26:31.903Z | regular | false | false | null | true | false | false | null | null | null | 22 | 0 | false | Fred_Liu | 41 | false | null | false | [
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172,419 | Freezing training without no reason | Freezing training without no reason | freezing-training-without-no-reason | 6 | 3 | 7 | null | 2023-02-12T22:32:11.275Z | 2025-07-21T15:23:35.004Z | true | 2025-07-21T15:23:35.004Z | regular | false | false | null | true | false | false | null | null | null | 1,731 | 0 | false | AFDtea | 8 | false | null | false | [
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218,275 | Segmentation fault (core dumped) in torch 2.1.0 | Segmentation fault (core dumped) in torch 2.1.0 | segmentation-fault-core-dumped-in-torch-2-1-0 | 6 | 2 | 6 | 2025-03-26T07:30:35.615Z | 2025-07-21T15:22:39.666Z | true | 2025-07-21T15:22:39.666Z | regular | false | false | null | true | false | false | null | null | null | 155 | 0 | false | AFDtea | 11 | false | null | false | [
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221,670 | 3 backprop vs 1 backprop for gan discriminator training | 3 backprop vs 1 backprop for gan discriminator training | 3-backprop-vs-1-backprop-for-gan-discriminator-training | 5 | 2 | 5 | null | 2025-07-19T23:37:47.361Z | 2025-07-21T13:36:35.133Z | true | 2025-07-21T13:36:35.133Z | regular | false | false | null | true | false | false | null | null | null | 35 | 4 | false | 40uf411 | 5 | false | null | false | [
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36,205 | Inference time GPU memory management and gc | Inference time GPU memory management and gc | inference-time-gpu-memory-management-and-gc | 5 | 1 | 5 | null | 2019-02-02T04:33:22.841Z | 2019-03-11T08:22:27.224Z | true | 2025-07-21T12:34:01.481Z | regular | false | false | null | true | false | false | null | null | null | 1,883 | 1 | false | suke | 1 | false | null | false | [
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] | null | null |
160,141 | How to speed up small parallel nn.Linear blocks (or small parallel matrix multiplications or group convolutions)? | How to speed up small parallel nn.Linear blocks (or small parallel matrix multiplications or group convolutions)? | how-to-speed-up-small-parallel-nn-linear-blocks-or-small-parallel-matrix-multiplications-or-group-convolutions | 9 | 4 | 9 | null | 2022-08-26T19:28:05.100Z | 2025-07-21T11:39:05.406Z | true | 2025-07-21T11:39:05.406Z | regular | false | false | null | true | false | false | null | null | null | 2,077 | 0 | false | Kajo_Kratzenstein | 1 | false | null | false | [
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41,284 | Tensorflow-esque bucket by sequence length | Tensorflow-esque bucket by sequence length | tensorflow-esque-bucket-by-sequence-length | 28 | 21 | 29 | null | 2019-03-30T21:22:02.356Z | 2025-07-21T09:24:25.601Z | true | 2025-07-21T09:24:25.601Z | regular | false | false | null | true | false | false | null | null | null | 16,539 | 35 | false | vdw | 8 | false | null | false | [
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139,445 | Docker images with different Python versions | Docker images with different Python versions | docker-images-with-different-python-versions | 3 | 0 | 3 | null | 2021-12-15T12:17:15.189Z | 2025-07-21T04:25:16.665Z | true | 2025-07-21T04:25:16.665Z | regular | false | false | null | true | false | false | null | null | null | 3,362 | 1 | false | barakugav | 14 | false | null | false | [
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221,665 | [DCP] how to load dcp ckpts? | [DCP] how to load dcp ckpts? | dcp-how-to-load-dcp-ckpts | 4 | 2 | 4 | null | 2025-07-19T08:17:36.836Z | 2025-07-21T03:00:50.317Z | true | 2025-07-21T04:06:56.105Z | regular | false | false | null | true | false | false | null | null | null | 26 | 2 | false | GyLU | 12 | false | null | false | [
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146,685 | Pytorch Profiler not profiling GPU on Windows | Pytorch Profiler not profiling GPU on Windows | pytorch-profiler-not-profiling-gpu-on-windows | 20 | 6 | 22 | 2022-03-17T04:52:30.016Z | 2025-07-21T00:32:08.163Z | true | 2025-07-21T00:32:08.163Z | regular | false | false | null | true | false | false | null | null | null | 3,542 | 9 | false | neoncube | 26 | false | null | false | [
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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? | how-can-pytorch-be-used-to-enhance-ai-models-in-customer-support-systems-like-salesforce-agentforce | 3 | 0 | 3 | null | 2025-06-14T12:48:32.735Z | 2025-07-20T23:32:50.945Z | true | 2025-07-20T23:32:50.945Z | regular | false | false | null | true | false | false | null | null | null | 48 | 0 | false | brian_demajh | 1 | false | null | false | [
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221,417 | Dist.all_gather with uneven tensor sizes | Dist.all_gather with uneven tensor sizes | dist-all-gather-with-uneven-tensor-sizes | 2 | 0 | 2 | null | 2025-07-10T17:23:20.173Z | 2025-07-20T22:45:32.886Z | true | 2025-07-20T22:45:32.886Z | regular | false | false | null | true | false | false | null | null | null | 31 | 1 | false | yf225 | 12 | false | null | true | [
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221,347 | Gradient not accumulated across nodes in deepspeed code | Gradient not accumulated across nodes in deepspeed code | gradient-not-accumulated-across-nodes-in-deepspeed-code | 2 | 0 | 3 | null | 2025-07-08T07:27:38.972Z | 2025-07-20T21:57:33.154Z | true | 2025-07-20T21:57:33.154Z | regular | false | false | null | true | false | false | null | null | null | 43 | 0 | false | yf225 | 12 | false | null | false | [
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221,455 | Does elastic torch support model parallelism | Does elastic torch support model parallelism | does-elastic-torch-support-model-parallelism | 2 | 0 | 2 | null | 2025-07-12T01:37:39.350Z | 2025-07-20T21:46:59.308Z | true | 2025-07-20T21:46:59.308Z | regular | false | false | null | true | false | false | null | null | null | 21 | 0 | false | yf225 | 12 | false | null | false | [
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221,659 | FSDP2 and gradient w.r.t. inputs | FSDP2 and gradient w.r.t. inputs | fsdp2-and-gradient-w-r-t-inputs | 2 | 0 | 2 | null | 2025-07-18T23:42:58.881Z | 2025-07-20T21:43:51.135Z | true | 2025-07-20T21:43:51.135Z | regular | false | false | null | true | false | false | null | null | null | 19 | 0 | false | yf225 | 12 | false | null | false | [
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221,618 | PyTorch Model Reproducibility Issue: RTX 2080 Ti vs. RTX 4090 Ti | PyTorch Model Reproducibility Issue: RTX 2080 Ti vs. RTX 4090 Ti | pytorch-model-reproducibility-issue-rtx-2080-ti-vs-rtx-4090-ti | 2 | 0 | 2 | null | 2025-07-18T01:14:08.431Z | 2025-07-20T16:00:35.046Z | true | 2025-07-20T16:00:35.046Z | regular | false | false | null | true | false | false | null | null | null | 22 | 0 | false | ptrblck | 1 | false | null | false | [
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81,005 | PyTorch certification | PyTorch certification | pytorch-certification | 57 | 10 | 57 | null | 2020-05-13T10:10:35.252Z | 2025-07-20T04:14:28.284Z | true | 2025-07-20T04:14:28.284Z | regular | false | false | null | true | false | false | null | null | null | 49,966 | 76 | true | S_Yeshwanth | 1 | false | null | false | [
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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 | 2025-07-19T20:44:56.915Z | true | 2025-07-19T20:44:56.915Z | regular | false | false | null | true | false | false | null | null | null | 72 | 0 | false | Jake_Watson | 6 | false | null | false | [
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221,661 | CUDA error: an illegal memory access was encountered problem | CUDA error: an illegal memory access was encountered problem | cuda-error-an-illegal-memory-access-was-encountered-problem | 3 | 1 | 3 | null | 2025-07-19T04:33:04.794Z | 2025-07-19T14:07:04.775Z | true | 2025-07-19T14:07:04.775Z | regular | false | false | null | true | false | false | null | null | null | 27 | 1 | false | ptrblck | 1 | false | null | false | [
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211,060 | Is there any way to save multiple graphs from same model without redundantly saving their state dicts? | Is there any way to save multiple graphs from same model without redundantly saving their state dicts? | is-there-any-way-to-save-multiple-graphs-from-same-model-without-redundantly-saving-their-state-dicts | 3 | 0 | 3 | null | 2024-10-02T12:38:21.688Z | 2025-07-19T05:31:17.805Z | true | 2025-07-19T05:31:17.805Z | regular | false | false | null | true | false | false | null | null | null | 45 | 0 | false | AnneStructo | 39 | false | null | false | [
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221,081 | CUDA initialization: CUDA driver initialization failed | CUDA initialization: CUDA driver initialization failed | cuda-initialization-cuda-driver-initialization-failed | 9 | 4 | 9 | null | 2025-06-26T13:29:47.167Z | 2025-07-18T23:08:33.089Z | true | 2025-07-18T23:08:33.089Z | regular | false | false | null | true | false | false | null | null | null | 132 | 1 | false | ptrblck | 1 | false | null | true | [
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220,827 | How to use torch with CUDA 12.9 | How to use torch with CUDA 12.9 | how-to-use-torch-with-cuda-12-9 | 5 | 2 | 7 | null | 2025-06-15T07:08:55.857Z | 2025-07-18T22:41:59.447Z | true | 2025-07-18T22:41:59.447Z | regular | false | false | null | true | false | false | null | null | null | 3,221 | 1 | false | HipHop_Delhi | 26 | false | null | false | [
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221,648 | Indirect Loss Computation and Backpropagation | Indirect Loss Computation and Backpropagation | indirect-loss-computation-and-backpropagation | 2 | 0 | 2 | null | 2025-07-18T16:37:34.853Z | 2025-07-18T22:09:34.008Z | true | 2025-07-18T22:09:34.008Z | regular | false | false | null | true | false | false | null | null | null | 16 | 0 | false | KFrank | 1 | false | null | false | [
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221,651 | PyTorch version for Cuda 12.9 | PyTorch version for Cuda 12.9 | pytorch-version-for-cuda-12-9 | 3 | 1 | 3 | null | 2025-07-18T19:31:42.248Z | 2025-07-18T19:50:34.196Z | true | 2025-07-18T19:50:34.196Z | regular | false | false | null | true | false | false | null | null | null | 128 | 0 | false | Bstrum36 | 1 | false | null | false | [
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221,646 | Dendritic Learning: An open-source upgrade to PyTorch based on modern neuroscience | Dendritic Learning: An open-source upgrade to PyTorch based on modern neuroscience | dendritic-learning-an-open-source-upgrade-to-pytorch-based-on-modern-neuroscience | 1 | 0 | 1 | null | 2025-07-18T16:13:47.461Z | 2025-07-18T16:13:47.503Z | true | 2025-07-18T16:13:47.503Z | regular | false | false | null | true | false | false | null | null | null | 27 | 2 | false | PerforatedAI | 1 | false | null | false | [
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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 | which-dataset-can-i-use-to-retrain-a-pruned-model | 1 | 0 | 1 | null | 2025-07-18T13:57:28.784Z | 2025-07-18T13:57:28.828Z | true | 2025-07-18T13:57:28.828Z | regular | false | false | null | true | false | false | null | null | null | 10 | 0 | false | Sixte_Oriol_Llenas_S | 1 | false | null | false | [
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221,640 | ONNX dynamo export fails in 2.7 but worked in 2.3 | ONNX dynamo export fails in 2.7 but worked in 2.3 | onnx-dynamo-export-fails-in-2-7-but-worked-in-2-3 | 1 | 0 | 1 | null | 2025-07-18T13:49:49.059Z | 2025-07-18T13:49:49.105Z | true | 2025-07-18T13:49:49.105Z | regular | false | false | null | true | false | false | null | null | null | 20 | 0 | false | vermont_waters | 14 | false | null | false | [
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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 | code-crashing-without-error-while-using-pytorch-profiler-with-stack-true | 3 | 1 | 3 | null | 2025-07-17T05:30:39.927Z | 2025-07-18T13:18:01.809Z | true | 2025-07-18T13:18:01.809Z | regular | false | false | null | true | false | false | null | null | null | 19 | 0 | false | Deepak_Kumar1 | 1 | false | null | false | [
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221,638 | Do CTCHypothesis keep autograd history? | Do CTCHypothesis keep autograd history? | do-ctchypothesis-keep-autograd-history | 1 | 0 | 1 | null | 2025-07-18T12:56:36.405Z | 2025-07-18T12:56:36.456Z | true | 2025-07-18T12:56:36.456Z | regular | false | false | null | true | false | false | null | null | null | 10 | 0 | false | alicemabille | 9 | false | null | false | [
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221,626 | Compatibility of Pytorch with RTX 5080 | Compatibility of Pytorch with RTX 5080 | compatibility-of-pytorch-with-rtx-5080 | 2 | 0 | 2 | null | 2025-07-18T06:26:46.979Z | 2025-07-18T12:29:11.303Z | true | 2025-07-18T12:29:11.303Z | regular | false | false | null | true | false | false | null | null | null | 29 | 0 | false | ptrblck | 1 | false | null | false | [
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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 | 2025-07-18T12:28:06.679Z | true | 2025-07-18T12:28:06.679Z | regular | false | false | null | true | false | false | null | null | null | 57 | 1 | false | ptrblck | 1 | false | null | false | [
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221,604 | Can't initialize NVML: Ambiguous response | Can’t initialize NVML: Ambiguous response | cant-initialize-nvml-ambiguous-response | 8 | 6 | 8 | null | 2025-07-17T08:47:23.007Z | 2025-07-18T07:06:02.253Z | true | 2025-07-18T07:06:02.253Z | regular | false | false | null | true | false | false | null | null | null | 31 | 0 | false | tovtyvold | 1 | false | null | false | [
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221,598 | CUDA out of memory issues | CUDA out of memory issues | cuda-out-of-memory-issues | 4 | 1 | 4 | null | 2025-07-17T06:16:26.095Z | 2025-07-18T01:13:21.099Z | true | 2025-07-18T01:13:21.099Z | regular | false | false | null | true | false | false | null | null | null | 45 | 0 | false | VIVEK_PANDEY | 5 | false | null | false | [
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74,474 | Obtaining outputs and attention weights from intermediate Transformer layers | Obtaining outputs and attention weights from intermediate Transformer layers | obtaining-outputs-and-attention-weights-from-intermediate-transformer-layers | 9 | 6 | 9 | null | 2020-03-26T18:26:22.738Z | 2025-07-17T21:43:48.011Z | true | 2025-07-17T21:43:48.011Z | regular | false | false | null | true | false | false | null | null | null | 7,101 | 5 | false | joseph-pq | 8 | false | null | false | [
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221,612 | PyTorch support for NVIDIA RTX 5090 | PyTorch support for NVIDIA RTX 5090 | pytorch-support-for-nvidia-rtx-5090 | 2 | 0 | 2 | null | 2025-07-17T17:05:47.439Z | 2025-07-17T21:06:45.437Z | true | 2025-07-17T21:06:45.437Z | regular | false | false | null | true | false | false | null | null | null | 67 | 1 | false | ptrblck | 5 | false | null | false | [
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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 | 2025-07-17T20:58:24.484Z | true | 2025-07-17T20:58:24.484Z | regular | false | false | null | true | false | false | null | null | null | 380 | 0 | false | f3ba | 1 | false | null | false | [
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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 | 2025-07-17T17:05:50.487Z | true | 2025-07-17T17:05:50.487Z | regular | false | false | null | true | false | false | null | null | null | 10 | 0 | false | Maciej_Mamczur111 | 1 | false | null | false | [
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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 | 2021-05-25T18:38:44.814Z | true | 2025-07-17T14:04:15.614Z | regular | false | false | null | true | false | false | null | null | null | 18,559 | 1 | false | ahmediqbal | 1 | false | null | false | [
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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 | 13 | 9 | 14 | null | 2025-07-14T10:11:41.292Z | 2025-07-17T13:47:45.137Z | true | 2025-07-17T13:47:45.137Z | regular | false | false | null | true | false | false | null | null | null | 331 | 0 | false | ptrblck | 1 | false | null | false | [
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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 | 8 | 4 | 8 | null | 2022-05-11T09:35:15.284Z | 2025-07-17T13:03:20.085Z | true | 2025-07-17T13:03:20.085Z | regular | false | false | null | true | false | false | null | null | null | 4,136 | 1 | false | wululu66 | 17 | false | null | false | [
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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 | 7 | 4 | 7 | null | 2025-07-09T11:35:56.843Z | 2025-07-09T16:39:47.538Z | true | 2025-07-17T13:00:28.603Z | regular | false | false | null | true | false | false | null | null | null | 67 | 3 | false | J_Johnson | 8 | false | null | false | [
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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 | 4 | 1 | 4 | null | 2025-07-16T09:07:28.724Z | 2025-07-17T11:56:28.018Z | true | 2025-07-17T11:56:28.018Z | regular | false | false | null | true | false | false | null | null | null | 51 | 0 | false | ptrblck | 1 | false | null | false | [
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51,381 | Gathering dictionaries of DistributedDataParallel | Gathering dictionaries of DistributedDataParallel | gathering-dictionaries-of-distributeddataparallel | 12 | 6 | 12 | null | 2019-07-23T12:20:19.815Z | 2025-07-17T07:10:03.989Z | true | 2025-07-17T07:10:03.989Z | regular | false | false | null | true | false | false | null | null | null | 4,000 | 7 | false | 5o1 | 12 | false | null | false | [
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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 | 3 | 0 | 3 | null | 2025-07-11T22:34:24.047Z | 2025-07-17T07:02:08.512Z | true | 2025-07-17T07:02:08.512Z | regular | false | false | null | true | false | false | null | null | null | 26 | 0 | false | Hamza_Javaid | 11 | false | null | false | [
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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 | true | 2025-07-17T06:54:39.090Z | regular | false | false | null | true | false | false | null | null | null | 39 | 2 | false | Hamza_Javaid | 1 | false | null | false | [
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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 | true | 2025-07-17T06:48:25.567Z | regular | false | false | null | true | false | false | null | null | null | 9 | 0 | false | anyon17 | 1 | false | null | false | [
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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 | false | false | null | true | false | false | null | null | null | 22 | 0 | false | ekf | 1 | false | null | false | [
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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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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 | false | false | null | true | false | false | null | null | null | 8 | 0 | false | rdgq | 11 | false | null | false | [
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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 | false | false | null | true | false | false | null | null | null | 29 | 1 | false | soulitzer | 7 | false | null | true | [
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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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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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] | 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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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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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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] | 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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] | 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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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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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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] | 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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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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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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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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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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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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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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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 | [
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] | 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 | [
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