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221,402 |
Pytoch geometric dimension mismatch input and edge indices
|
Pytoch geometric dimension mismatch input and edge indices
|
pytoch-geometric-dimension-mismatch-input-and-edge-indices
| 6 | 0 | 7 | null |
2025-07-09T22:13:56.187Z
|
2025-07-12T17:01:03.413Z
| true |
2025-07-12T17:01:03.413Z
|
regular
| false | false | null | true | false | false | null | null | null | 47 | 1 | false |
Dhia-naouali
| 1 | false | null | true |
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221,449 |
PyTorch compute compatibility with sm_120
|
PyTorch compute compatibility with sm_120
|
pytorch-compute-compatibility-with-sm-120
| 2 | 0 | 2 | null |
2025-07-11T21:47:56.189Z
|
2025-07-12T04:07:16.138Z
| true |
2025-07-12T04:07:16.138Z
|
regular
| false | false | null | true | false | false | null | null | null | 37 | 0 | false |
ptrblck
| 1 | false | null | false |
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] | null | null |
221,453 |
Create PackedSequence directly
|
Create PackedSequence directly
|
create-packedsequence-directly
| 1 | 0 | 1 | null |
2025-07-12T01:27:02.093Z
|
2025-07-12T01:27:02.143Z
| true |
2025-07-12T01:27:02.143Z
|
regular
| false | false | null | true | false | false | null | null | null | 16 | 0 | false |
alexj
| 1 | false | null | false |
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] | null | null |
221,446 |
Problems with RTX5090 in compatibility with PyTorch
|
Problems with RTX5090 in compatibility with PyTorch
|
problems-with-rtx5090-in-compatibility-with-pytorch
| 3 | 1 | 3 | null |
2025-07-11T18:08:46.194Z
|
2025-07-11T18:19:18.364Z
| true |
2025-07-11T18:19:18.364Z
|
regular
| false | false | null | true | false | false | null | null | null | 38 | 0 | false |
Botd
| 14 | false | null | false |
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"flair_group_id": null,
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"user_id": 3534
}
] | null | null |
221,442 |
LSTM model weight gradients are all zero
|
LSTM model weight gradients are all zero
|
lstm-model-weight-gradients-are-all-zero
| 4 | 1 | 4 | null |
2025-07-11T15:52:23.161Z
|
2025-07-11T17:04:42.326Z
| true |
2025-07-11T17:04:42.326Z
|
regular
| false | false | null | true | false | false | null | null | null | 36 | 0 | false |
jaysan33
| 7 | false | null | false |
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"extras": null,
"flair_group_id": null,
"primary_group_id": null,
"user_id": 3534
}
] | null | null |
221,438 |
Help understanding data collectors
|
Help understanding data collectors
|
help-understanding-data-collectors
| 1 | 0 | 1 | null |
2025-07-11T12:17:32.291Z
|
2025-07-11T12:17:32.336Z
| true |
2025-07-11T13:56:14.116Z
|
regular
| false | false | null | true | false | false | null | null | null | 23 | 0 | false |
icarosadero
| 6 | false | null | false |
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"flair_group_id": null,
"primary_group_id": null,
"user_id": 23119
}
] | null | null |
221,420 |
Tensor chunking
|
Tensor chunking
|
tensor-chunking
| 3 | 1 | 3 | null |
2025-07-10T23:06:31.636Z
|
2025-07-11T06:47:39.414Z
| true |
2025-07-11T06:49:13.605Z
|
regular
| false | false | null | true | false | false | null | null | null | 30 | 0 | false |
Ravi_Ghadia
| 1 | false | null | false |
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"description": "Frequent Poster",
"extras": null,
"flair_group_id": null,
"primary_group_id": null,
"user_id": 3534
}
] | null | null |
149,777 |
Dataloader for partitioned dataset
|
Dataloader for partitioned dataset
|
dataloader-for-partitioned-dataset
| 9 | 6 | 9 | null |
2022-04-21T22:15:39.566Z
|
2025-07-11T03:26:57.990Z
| true |
2025-07-11T03:26:57.990Z
|
regular
| false | false | null | true | false | false | null | null | null | 1,534 | 1 | false |
Dushan
| 37 | false | null | false |
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"extras": "latest",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 85025
}
] | null | null |
221,398 |
GAN => maping a random noise to an output space!
|
GAN => maping a random noise to an output space!
|
gan-maping-a-random-noise-to-an-output-space
| 3 | 0 | 3 | null |
2025-07-09T16:57:31.255Z
|
2025-07-11T02:29:04.746Z
| true |
2025-07-11T02:29:04.746Z
|
regular
| false | false | null | true | false | false | null | null | null | 33 | 3 | false |
pytoB
| 1 | false | null | true |
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] | null | null |
221,307 |
How to Efficiently Gather Python Objects Across GPUs Without GPU-to-CPU-to-GPU-to-CPU Overhead in torch.distributed?
|
How to Efficiently Gather Python Objects Across GPUs Without GPU-to-CPU-to-GPU-to-CPU Overhead in torch.distributed?
|
how-to-efficiently-gather-python-objects-across-gpus-without-gpu-to-cpu-to-gpu-to-cpu-overhead-in-torch-distributed
| 2 | 0 | 2 | null |
2025-07-06T12:09:09.292Z
|
2025-07-11T00:02:20.832Z
| true |
2025-07-11T00:02:20.832Z
|
regular
| false | false | null | true | false | false | null | null | null | 31 | 0 | false |
5o1
| 12 | false | null | false |
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"primary_group_id": null,
"user_id": 81154
}
] | null | null |
221,299 |
Custom loss and its gradient
|
Custom loss and its gradient
|
custom-loss-and-its-gradient
| 2 | 0 | 2 | null |
2025-07-05T18:26:30.580Z
|
2025-07-10T21:56:38.721Z
| true |
2025-07-10T21:56:38.721Z
|
regular
| false | false | null | true | false | false | null | null | null | 31 | 0 | false |
soulitzer
| 7 | false | null | false |
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"extras": "latest",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 41396
}
] | null | null |
221,367 |
Slow inference with libtorch on CPUs
|
Slow inference with libtorch on CPUs
|
slow-inference-with-libtorch-on-cpus
| 3 | 0 | 3 | null |
2025-07-08T17:35:42.696Z
|
2025-07-10T17:05:14.061Z
| true |
2025-07-10T17:05:14.061Z
|
regular
| false | false | null | true | false | false | null | null | null | 36 | 0 | false |
George_Artavanis
| 11 | false | null | false |
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"extras": null,
"flair_group_id": null,
"primary_group_id": null,
"user_id": 83624
}
] | null | null |
221,338 |
Compiling from source a static PyTorch library
|
Compiling from source a static PyTorch library
|
compiling-from-source-a-static-pytorch-library
| 3 | 0 | 3 | null |
2025-07-07T16:24:46.598Z
|
2025-07-10T16:39:27.530Z
| true |
2025-07-10T16:39:27.530Z
|
regular
| false | false | null | true | false | false | null | null | null | 26 | 0 | false |
KirilloCirillo
| 11 | false | null | false |
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"primary_group_id": null,
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"description": "Frequent Poster",
"extras": null,
"flair_group_id": null,
"primary_group_id": null,
"user_id": 211
}
] | null | null |
221,413 |
How does the decoder works in Transformers
|
How does the decoder works in Transformers
|
how-does-the-decoder-works-in-transformers
| 3 | 1 | 3 | null |
2025-07-10T11:49:16.724Z
|
2025-07-10T15:33:21.090Z
| true |
2025-07-10T15:33:21.090Z
|
regular
| false | false | null | true | false | false | null | null | null | 33 | 0 | false |
Eyzzle
| 1 | false | null | false |
[
{
"description": "Original Poster, Most Recent Poster",
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"primary_group_id": null,
"user_id": 83959
},
{
"description": "Frequent Poster",
"extras": null,
"flair_group_id": null,
"primary_group_id": null,
"user_id": 84935
}
] | null | null |
221,397 |
Does the optimizer have to be created after model is moved to the GPU?
|
Does the optimizer have to be created after model is moved to the GPU?
|
does-the-optimizer-have-to-be-created-after-model-is-moved-to-the-gpu
| 5 | 3 | 5 | null |
2025-07-09T16:20:55.386Z
|
2025-07-10T09:47:44.427Z
| true |
2025-07-10T09:47:44.427Z
|
regular
| false | false | null | true | false | false | null | null | null | 43 | 0 | false |
ening
| 1 | false | null | true |
[
{
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"description": "Frequent Poster, Accepted Answer",
"extras": null,
"flair_group_id": null,
"primary_group_id": null,
"user_id": 3534
}
] | null | null |
221,400 |
Why is AdamW not the default weight decay implementation in pytorch?
|
Why is AdamW not the default weight decay implementation in pytorch?
|
why-is-adamw-not-the-default-weight-decay-implementation-in-pytorch
| 2 | 0 | 2 | null |
2025-07-09T18:35:49.933Z
|
2025-07-09T18:58:16.750Z
| true |
2025-07-09T18:58:16.750Z
|
regular
| false | false | null | true | false | false | null | null | null | 62 | 1 | false |
ptrblck
| 1 | false | null | true |
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{
"description": "Original Poster",
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"description": "Most Recent Poster, Accepted Answer",
"extras": "latest",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 3534
}
] | null | null |
221,385 |
Why torch.nn.functional.conv2d is a lot faster when group > 1?
|
Why torch.nn.functional.conv2d is a lot faster when group > 1?
|
why-torch-nn-functional-conv2d-is-a-lot-faster-when-group-1
| 5 | 2 | 5 | null |
2025-07-09T12:12:29.975Z
|
2025-07-09T14:40:36.627Z
| true |
2025-07-09T14:40:36.627Z
|
regular
| false | false | null | true | false | false | null | null | null | 27 | 1 | false |
abin
| 1 | false | null | true |
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{
"description": "Original Poster, Most Recent Poster",
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"user_id": 85003
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"description": "Frequent Poster, Accepted Answer",
"extras": null,
"flair_group_id": null,
"primary_group_id": null,
"user_id": 84484
}
] | null | null |
220,926 |
How Do I use Pytorch with RTX 5060 Ti
|
How Do I use Pytorch with RTX 5060 Ti
|
how-do-i-use-pytorch-with-rtx-5060-ti
| 12 | 8 | 12 | null |
2025-06-19T21:04:25.604Z
|
2025-07-09T14:27:55.801Z
| true |
2025-07-09T14:27:55.801Z
|
regular
| false | false | null | true | false | false | null | null | null | 1,368 | 2 | false |
ptrblck
| 26 | false | null | false |
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"user_id": 84658
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"user_id": 19499
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"extras": "latest",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 3534
}
] | null | null |
221,373 |
Output mismatch with channels_last_3d?
|
Output mismatch with channels_last_3d?
|
output-mismatch-with-channels-last-3d
| 2 | 1 | 4 | null |
2025-07-09T03:47:25.342Z
|
2025-07-09T13:57:29.962Z
| true |
2025-07-09T13:57:29.962Z
|
regular
| false | false | null | true | false | false | null | null | null | 24 | 0 | false |
bartley
| 23 | false | null | false |
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"flair_group_id": null,
"primary_group_id": null,
"user_id": 66240
}
] | null | null |
221,334 |
Initialise the parameters of a NN and then train it
|
Initialise the parameters of a NN and then train it
|
initialise-the-parameters-of-a-nn-and-then-train-it
| 6 | 2 | 6 | null |
2025-07-07T13:23:13.158Z
|
2025-07-09T12:34:39.704Z
| true |
2025-07-09T12:34:39.704Z
|
regular
| false | false | null | true | false | false | null | null | null | 31 | 1 | false |
Dhia-naouali
| 1 | false | null | false |
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"flair_group_id": null,
"primary_group_id": null,
"user_id": 84484
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] | null | null |
221,317 |
My Loss function becomes 0 in 2nd epoch
|
My Loss function becomes 0 in 2nd epoch
|
my-loss-function-becomes-0-in-2nd-epoch
| 2 | 0 | 2 | null |
2025-07-07T05:55:40.826Z
|
2025-07-08T22:59:30.226Z
| true |
2025-07-08T22:59:30.226Z
|
regular
| false | false | null | true | false | false | null | null | null | 42 | 1 | false |
Dhia-naouali
| 5 | false | null | false |
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"flair_group_id": null,
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"user_id": 84484
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] | null | null |
221,360 |
torch.distributed.DistBackendError: NCCL error in: /pytorch/torch/csrc/distributed/c10d/ProcessGroupNCCL.cpp:3368, unhandled cuda error (run with NCCL_DEBUG=INFO for details), NCCL version 2.25.1
|
torch.distributed.DistBackendError: NCCL error in: /pytorch/torch/csrc/distributed/c10d/ProcessGroupNCCL.cpp:3368, unhandled cuda error (run with NCCL_DEBUG=INFO for details), NCCL version 2.25.1
|
torch-distributed-distbackenderror-nccl-error-in-pytorch-torch-csrc-distributed-c10d-processgroupnccl-cpp-3368-unhandled-cuda-error-run-with-nccl-debug-info-for-details-nccl-version-2-25-1
| 3 | 0 | 3 | null |
2025-07-08T15:08:34.273Z
|
2025-07-08T18:49:28.478Z
| true |
2025-07-08T18:49:28.478Z
|
regular
| false | false | null | true | false | false | null | null | null | 79 | 1 | false |
Wznnnnn
| 12 | false | null | true |
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"extras": null,
"flair_group_id": null,
"primary_group_id": null,
"user_id": 3534
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] | null | null |
179,657 |
Using multiple gpus (ddp pytorch) and showing loss graphs by dis.reduce
|
Using multiple gpus (ddp pytorch) and showing loss graphs by dis.reduce
|
using-multiple-gpus-ddp-pytorch-and-showing-loss-graphs-by-dis-reduce
| 2 | 0 | 2 | null |
2023-05-11T04:31:44.988Z
|
2025-07-08T16:40:02.985Z
| true |
2025-07-08T16:40:02.985Z
|
regular
| false | false | null | true | false | false | null | null | null | 429 | 0 | false |
KL1236
| 5 | false | null | false |
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"description": "Most Recent Poster",
"extras": "latest",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 84991
}
] | null | null |
221,336 |
Very slow training with nn.Embedding
|
Very slow training with nn.Embedding
|
very-slow-training-with-nn-embedding
| 3 | 1 | 3 | null |
2025-07-07T14:32:21.089Z
|
2025-07-08T06:47:33.325Z
| true |
2025-07-08T15:25:37.935Z
|
regular
| false | false | null | true | false | false | null | null | null | 41 | 4 | false |
ptrch_c_m
| 8 | false | null | true |
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220,886 |
Why does autograd.backward go one edge further than `inputs`?
|
Why does autograd.backward go one edge further than `inputs`?
|
why-does-autograd-backward-go-one-edge-further-than-inputs
| 4 | 1 | 4 | null |
2025-06-17T22:27:04.846Z
|
2025-07-08T15:01:47.549Z
| true |
2025-07-08T15:01:47.549Z
|
regular
| false | false | null | true | false | false | null | null | null | 39 | 2 | false |
valerian.rey
| 7 | false | null | true |
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107,259 |
PyTorch equivalent of exclusive cumsum?
|
PyTorch equivalent of exclusive cumsum?
|
pytorch-equivalent-of-exclusive-cumsum
| 6 | 4 | 8 | null |
2020-12-27T16:47:23.035Z
|
2025-07-08T07:24:52.111Z
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2025-07-08T07:24:52.111Z
|
regular
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mrTsjolder
| 1 | false | null | true |
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221,177 |
FSDP1/FSDP2 sharding across CPUs?
|
FSDP1/FSDP2 sharding across CPUs?
|
fsdp1-fsdp2-sharding-across-cpus
| 3 | 0 | 3 | null |
2025-06-30T19:29:07.300Z
|
2025-07-08T01:55:54.318Z
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2025-07-08T01:55:54.318Z
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regular
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hpcpony
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221,205 |
NotImplementedError: could not run 'aten::as_strided'
|
NotImplementedError: could not run ‘aten::as_strided’
|
notimplementederror-could-not-run-aten-as-strided
| 2 | 0 | 2 | null |
2025-07-01T12:23:25.218Z
|
2025-07-07T21:58:18.371Z
| true |
2025-07-07T21:58:18.371Z
|
regular
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tianyu
| 12 | false | null | false |
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] | null | null |
76,821 |
BatchNorm for multi GPU Training
|
BatchNorm for multi GPU Training
|
batchnorm-for-multi-gpu-training
| 10 | 6 | 10 | null |
2020-04-15T05:35:04.144Z
|
2025-07-07T18:44:13.201Z
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2025-07-07T18:44:13.201Z
|
regular
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ptrblck
| 12 | false | null | false |
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99,644 |
Implementing calculation of the Laplacian
|
Implementing calculation of the Laplacian
|
implementing-calculation-of-the-laplacian
| 7 | 5 | 7 | null |
2020-10-16T15:49:07.151Z
|
2025-07-07T18:09:31.930Z
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2025-07-07T18:09:31.930Z
|
regular
| false | false | null | true | false | false | null | null | null | 5,230 | 5 | false |
rfmiotto
| 7 | false | null | false |
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221,328 |
Efficient Computation of Second-Order Gradients
|
Efficient Computation of Second-Order Gradients
|
efficient-computation-of-second-order-gradients
| 2 | 0 | 2 | null |
2025-07-07T11:11:16.706Z
|
2025-07-07T17:32:22.523Z
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2025-07-07T17:32:22.523Z
|
regular
| false | false | null | true | false | false | null | null | null | 25 | 0 | false |
paulk
| 7 | false | null | false |
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}
] | null | null |
221,337 |
Small loss in training, large loss after loading .pkl
|
Small loss in training, large loss after loading .pkl
|
small-loss-in-training-large-loss-after-loading-pkl
| 2 | 0 | 2 | null |
2025-07-07T15:12:07.628Z
|
2025-07-07T16:29:25.481Z
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2025-07-07T16:29:25.481Z
|
regular
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ptrblck
| 5 | false | null | false |
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"extras": "latest",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 3534
}
] | null | null |
221,309 |
CUDA support for RTX 50x on Windows
|
CUDA support for RTX 50x on Windows
|
cuda-support-for-rtx-50x-on-windows
| 4 | 2 | 4 | null |
2025-07-06T16:39:46.259Z
|
2025-07-07T15:11:41.462Z
| true |
2025-07-07T15:11:41.462Z
|
regular
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ptrblck
| 1 | false | null | false |
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"user_id": 3534
}
] | null | null |
221,335 |
Named arguments and dict output with AOTInductor
|
Named arguments and dict output with AOTInductor
|
named-arguments-and-dict-output-with-aotinductor
| 1 | 0 | 1 | null |
2025-07-07T13:59:19.634Z
|
2025-07-07T13:59:19.674Z
| true |
2025-07-07T13:59:19.674Z
|
regular
| false | false | null | true | false | false | null | null | null | 15 | 0 | false |
rdgq
| 11 | false | null | false |
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] | null | null |
221,297 |
Feeding categorical information into a GAN discriminator
|
Feeding categorical information into a GAN discriminator
|
feeding-categorical-information-into-a-gan-discriminator
| 2 | 1 | 3 | null |
2025-07-05T18:14:30.463Z
|
2025-07-07T09:18:26.993Z
| true |
2025-07-07T09:18:26.993Z
|
regular
| false | false | null | true | false | false | null | null | null | 18 | 0 | false |
40uf411
| 1 | false | null | false |
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"flair_group_id": null,
"primary_group_id": null,
"user_id": 61959
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] | null | null |
221,320 |
Graph reconstruction using autoencoder
|
Graph reconstruction using autoencoder
|
graph-reconstruction-using-autoencoder
| 1 | 0 | 1 | null |
2025-07-07T06:24:09.737Z
|
2025-07-07T06:24:09.775Z
| true |
2025-07-07T08:40:05.493Z
|
regular
| false | false | null | true | false | false | null | null | null | 24 | 0 | false |
ag1805x
| 1 | false | null | false |
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"user_id": 84963
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] | null | null |
221,306 |
Cannot create a mask for each sequence in a batch with Flex Attention
|
Cannot create a mask for each sequence in a batch with Flex Attention
|
cannot-create-a-mask-for-each-sequence-in-a-batch-with-flex-attention
| 1 | 0 | 1 | null |
2025-07-06T11:38:31.162Z
|
2025-07-06T11:38:31.200Z
| true |
2025-07-07T06:44:46.658Z
|
regular
| false | false | null | true | false | false | null | null | null | 18 | 0 | false |
Luis_Lopes
| 1 | false | null | false |
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] | null | null |
219,812 |
XPU out of memory error with Intel Arc Graphics (Meteor Lake) despite sufficient system memory and reported XPU capacity
|
XPU out of memory error with Intel Arc Graphics (Meteor Lake) despite sufficient system memory and reported XPU capacity
|
xpu-out-of-memory-error-with-intel-arc-graphics-meteor-lake-despite-sufficient-system-memory-and-reported-xpu-capacity
| 5 | 3 | 6 | null |
2025-05-06T14:02:04.746Z
|
2025-07-07T06:39:25.541Z
| true |
2025-07-07T06:39:25.541Z
|
regular
| false | false | null | true | false | false | null | null | null | 141 | 1 | false |
theSharque
| 1 | false | null | true |
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] | null | null |
221,224 |
Model seems to peek into target sequence and cheat during training despite using masking
|
Model seems to peek into target sequence and cheat during training despite using masking
|
model-seems-to-peek-into-target-sequence-and-cheat-during-training-despite-using-masking
| 2 | 0 | 2 | null |
2025-07-02T09:13:44.619Z
|
2025-07-06T22:03:21.611Z
| true |
2025-07-06T22:03:21.611Z
|
regular
| false | false | null | true | false | false | null | null | null | 28 | 0 | false |
Avelina9X
| 1 | false | null | false |
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"flair_group_id": null,
"primary_group_id": null,
"user_id": 71851
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] | null | null |
220,179 |
Weight becomes nan after step but grad is normal
|
Weight becomes nan after step but grad is normal
|
weight-becomes-nan-after-step-but-grad-is-normal
| 11 | 7 | 11 | null |
2025-05-20T03:46:25.169Z
|
2025-07-06T18:25:46.514Z
| true |
2025-07-06T18:25:46.514Z
|
regular
| false | false | null | true | false | false | null | null | null | 151 | 7 | false |
pytorcher
| 1 | false | null | true |
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"extras": null,
"flair_group_id": null,
"primary_group_id": null,
"user_id": 79061
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] | null | null |
221,290 |
Question: What takes so much gpu memory?
|
Question: What takes so much gpu memory?
|
question-what-takes-so-much-gpu-memory
| 3 | 1 | 3 | null |
2025-07-05T02:53:26.518Z
|
2025-07-06T12:33:11.667Z
| true |
2025-07-06T12:33:11.667Z
|
regular
| false | false | null | true | false | false | null | null | null | 38 | 0 | false |
nanachiy
| 23 | false | null | false |
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"extras": null,
"flair_group_id": null,
"primary_group_id": null,
"user_id": 84865
}
] | null | null |
213,641 |
Libtorch, Cannot find NVTX3, find old NVTX instead
|
Libtorch, Cannot find NVTX3, find old NVTX instead
|
libtorch-cannot-find-nvtx3-find-old-nvtx-instead
| 3 | 1 | 3 | null |
2024-11-30T18:43:13.619Z
|
2025-07-06T09:49:09.711Z
| true |
2025-07-06T09:49:09.711Z
|
regular
| false | false | null | true | false | false | null | null | null | 2,026 | 3 | false |
5had3z
| 11 | false | null | true |
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"description": "Most Recent Poster",
"extras": "latest",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 35595
}
] | null | null |
221,303 |
_inductor/schduler.py line#3161
|
_inductor/schduler.py line#3161
|
inductor-schduler-py-line-3161
| 1 | 0 | 1 |
2025-07-06T06:29:44.930Z
|
2025-07-06T06:29:44.971Z
| true |
2025-07-06T06:29:44.971Z
|
regular
| false | false | null | true | false | false | null | null | null | 15 | 0 | false |
jongseoKang
| 41 | false | null | false |
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"flair_group_id": null,
"primary_group_id": null,
"user_id": 84955
}
] | null | null |
|
221,274 |
GradScaler decrease the scale suddenly on AMP multi-card training
|
GradScaler decrease the scale suddenly on AMP multi-card training
|
gradscaler-decrease-the-scale-suddenly-on-amp-multi-card-training
| 2 | 0 | 2 | null |
2025-07-04T01:29:21.691Z
|
2025-07-05T18:06:29.913Z
| true |
2025-07-05T18:06:29.913Z
|
regular
| false | false | null | true | false | false | null | null | null | 24 | 0 | false |
ptrblck
| 1 | false | null | false |
[
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"extras": "latest",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 3534
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] | null | null |
221,273 |
Tensor hooks for gradients from each path in the autograd graph
|
Tensor hooks for gradients from each path in the autograd graph
|
tensor-hooks-for-gradients-from-each-path-in-the-autograd-graph
| 5 | 0 | 5 | null |
2025-07-03T20:55:02.371Z
|
2025-07-05T14:59:37.271Z
| true |
2025-07-05T14:59:37.271Z
|
regular
| false | false | null | true | false | false | null | null | null | 59 | 8 | false |
akrentz6
| 7 | false | null | true |
[
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"extras": null,
"flair_group_id": null,
"primary_group_id": null,
"user_id": 81227
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] | null | null |
221,246 |
Help with custom c++ class in a jit model
|
Help with custom c++ class in a jit model
|
help-with-custom-c-class-in-a-jit-model
| 4 | 2 | 4 | null |
2025-07-02T19:36:01.894Z
|
2025-07-04T23:21:25.661Z
| true |
2025-07-04T23:21:25.661Z
|
regular
| false | false | null | true | false | false | null | null | null | 38 | 0 | false |
dbrenes
| 11 | false | null | false |
[
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"extras": "latest",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 83578
}
] | null | null |
221,276 |
What does the "triaged" label mean in PyTorch issues?
|
What does the “triaged” label mean in PyTorch issues?
|
what-does-the-triaged-label-mean-in-pytorch-issues
| 3 | 0 | 3 |
2025-07-04T03:56:33.497Z
|
2025-07-04T14:28:07.531Z
| true |
2025-07-04T14:28:07.531Z
|
regular
| false | false | null | true | false | false | null | null | null | 28 | 1 | false |
ptrblck
| 1 | false | null | false |
[
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"extras": "latest",
"flair_group_id": null,
"primary_group_id": null,
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] | null | null |
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34,096 |
Can I use torchvision Dataset and Dataloader with AWS S3?
|
Can I use torchvision Dataset and Dataloader with AWS S3?
|
can-i-use-torchvision-dataset-and-dataloader-with-aws-s3
| 9 | 2 | 9 | null |
2019-01-08T08:22:26.735Z
|
2025-06-13T21:25:37.913Z
| true |
2025-07-04T08:16:32.776Z
|
regular
| false | false | null | true | false | false | null | null | null | 7,012 | 4 | false |
HugoH
| 5 | false | null | false |
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"user_id": 84699
}
] | null | null |
221,255 |
Is there a memory mechanism in PyTorch similar to zram?
|
Is there a memory mechanism in PyTorch similar to zram?
|
is-there-a-memory-mechanism-in-pytorch-similar-to-zram
| 3 | 0 | 3 | null |
2025-07-03T06:47:28.789Z
|
2025-07-03T22:44:02.962Z
| true |
2025-07-03T22:44:02.962Z
|
regular
| false | false | null | true | false | false | null | null | null | 44 | 2 | false |
Joy_Walim
| 1 | false | null | true |
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"description": "Most Recent Poster",
"extras": "latest",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 84881
}
] | null | null |
221,217 |
Using system NCCL when building PyTorch from source
|
Using system NCCL when building PyTorch from source
|
using-system-nccl-when-building-pytorch-from-source
| 5 | 3 | 5 | null |
2025-07-02T00:13:55.040Z
|
2025-07-03T19:59:48.927Z
| true |
2025-07-03T19:59:48.927Z
|
regular
| false | false | null | true | false | false | null | null | null | 44 | 1 | false |
ptrblck
| 1 | false | null | true |
[
{
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"description": "Most Recent Poster",
"extras": "latest",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 3534
}
] | null | null |
221,249 |
Multi-Head Self Attention in Transformer is permutation-invariant or equivariant how to see it in practice?
|
Multi-Head Self Attention in Transformer is permutation-invariant or equivariant how to see it in practice?
|
multi-head-self-attention-in-transformer-is-permutation-invariant-or-equivariant-how-to-see-it-in-practice
| 5 | 2 | 5 | null |
2025-07-02T19:51:16.225Z
|
2025-07-03T15:27:42.158Z
| true |
2025-07-03T15:27:42.158Z
|
regular
| false | false | null | true | false | false | null | null | null | 57 | 1 | false |
EricF
| 8 | false | null | false |
[
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"description": "Frequent Poster",
"extras": null,
"flair_group_id": null,
"primary_group_id": null,
"user_id": 84935
}
] | null | null |
221,208 |
How to approach an imbalanced image dataset for mobile image classification app?
|
How to approach an imbalanced image dataset for mobile image classification app?
|
how-to-approach-an-imbalanced-image-dataset-for-mobile-image-classification-app
| 7 | 4 | 7 | null |
2025-07-01T14:27:47.966Z
|
2025-07-03T08:35:38.936Z
| true |
2025-07-03T08:35:38.936Z
|
regular
| false | false | null | true | false | false | null | null | null | 61 | 3 | false |
myrmel4e83
| 5 | false | null | false |
[
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"user_id": 84865
},
{
"description": "Frequent Poster",
"extras": null,
"flair_group_id": null,
"primary_group_id": null,
"user_id": 83362
}
] | null | null |
221,253 |
DTensor TP collectives missing?
|
DTensor TP collectives missing?
|
dtensor-tp-collectives-missing
| 1 | 0 | 1 |
2025-07-03T02:59:29.445Z
|
2025-07-03T02:59:29.490Z
| true |
2025-07-03T03:00:26.146Z
|
regular
| false | false | null | true | false | false | null | null | null | 29 | 0 | false |
githubsgi
| 12 | false | null | false |
[
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"extras": "latest single",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 82804
}
] | null | null |
|
221,223 |
Why pytorch use triton as backend of inductor?
|
Why pytorch use triton as backend of inductor?
|
why-pytorch-use-triton-as-backend-of-inductor
| 3 | 1 | 3 | null |
2025-07-02T08:44:04.187Z
|
2025-07-03T01:50:50.553Z
| true |
2025-07-03T01:50:50.553Z
|
regular
| false | false | null | true | false | false | null | null | null | 62 | 0 | false |
Donald
| 41 | false | null | false |
[
{
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"extras": "latest single",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 84918
}
] | null | null |
220,821 |
SOLVED: PyTorch 2.7.1+XPU Intel Arc Graphics Complete Setup Guide (Linux)"
|
SOLVED: PyTorch 2.7.1+XPU Intel Arc Graphics Complete Setup Guide (Linux)”
|
solved-pytorch-2-7-1-xpu-intel-arc-graphics-complete-setup-guide-linux
| 8 | 3 | 8 | null |
2025-06-14T16:58:08.324Z
|
2025-07-02T22:40:43.435Z
| true |
2025-07-02T22:46:31.955Z
|
regular
| false | false | null | true | false | false | null | null | null | 391 | 3 | false |
DrThodt2021
| 1 | false | null | false |
[
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"extras": "latest",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 84895
}
] | null | null |
221,051 |
What model architecture should I use to extract all text from any image (OCR use case)?
|
What model architecture should I use to extract all text from any image (OCR use case)?
|
what-model-architecture-should-i-use-to-extract-all-text-from-any-image-ocr-use-case
| 3 | 0 | 3 | null |
2025-06-25T12:51:47.745Z
|
2025-07-02T20:06:37.419Z
| true |
2025-07-02T20:06:37.419Z
|
regular
| false | false | null | true | false | false | null | null | null | 41 | 0 | false |
Hamza_Javaid
| 5 | false | null | false |
[
{
"description": "Original Poster",
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},
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"user_id": 83362
},
{
"description": "Most Recent Poster",
"extras": "latest",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 84865
}
] | null | null |
220,931 |
Memory bloat in gradient descent model
|
Memory bloat in gradient descent model
|
memory-bloat-in-gradient-descent-model
| 5 | 2 | 5 | null |
2025-06-20T00:33:08.976Z
|
2025-07-02T17:01:28.279Z
| true |
2025-07-02T17:01:28.279Z
|
regular
| false | false | null | true | false | false | null | null | null | 62 | 0 | false |
IsaacBoyd
| 7 | false | null | true |
[
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"description": "Frequent Poster, Accepted Answer",
"extras": null,
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"primary_group_id": null,
"user_id": 18088
},
{
"description": "Frequent Poster",
"extras": null,
"flair_group_id": null,
"primary_group_id": null,
"user_id": 41396
}
] | null | null |
221,242 |
Why do src_key_padding_mask and src_mask have different conventions in TransformerEncoderLayer?
|
Why do src_key_padding_mask and src_mask have different conventions in TransformerEncoderLayer?
|
why-do-src-key-padding-mask-and-src-mask-have-different-conventions-in-transformerencoderlayer
| 1 | 0 | 1 | null |
2025-07-02T16:48:31.157Z
|
2025-07-02T16:48:31.195Z
| true |
2025-07-02T16:48:31.195Z
|
regular
| false | false | null | true | false | false | null | null | null | 14 | 0 | false |
juane
| 1 | false | null | false |
[
{
"description": "Original Poster, Most Recent Poster",
"extras": "latest single",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 84923
}
] | null | null |
221,240 |
Update NCCL timeout
|
Update NCCL timeout
|
update-nccl-timeout
| 1 | 0 | 1 | null |
2025-07-02T16:34:53.373Z
|
2025-07-02T16:34:53.416Z
| true |
2025-07-02T16:34:53.416Z
|
regular
| false | false | null | true | false | false | null | null | null | 20 | 0 | false |
Sam_Shleifer
| 1 | false | null | false |
[
{
"description": "Original Poster, Most Recent Poster",
"extras": "latest single",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 27445
}
] | null | null |
221,229 |
AttnRNN: An Efficient Recurrent Neural Network Model Based on Attention
|
AttnRNN: An Efficient Recurrent Neural Network Model Based on Attention
|
attnrnn-an-efficient-recurrent-neural-network-model-based-on-attention
| 1 | 0 | 1 | null |
2025-07-02T11:46:39.417Z
|
2025-07-02T11:46:39.451Z
| true |
2025-07-02T11:46:39.451Z
|
regular
| false | false | null | true | false | false | null | null | null | 15 | 0 | false |
wqws
| 1 | false | null | false |
[
{
"description": "Original Poster, Most Recent Poster",
"extras": "latest single",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 84919
}
] | null | null |
220,771 |
RuntimeError: quantized::conv2d_prepack() is missing value for argument 'stride'
|
RuntimeError: quantized::conv2d_prepack() is missing value for argument ‘stride’
|
runtimeerror-quantized-conv2d-prepack-is-missing-value-for-argument-stride
| 2 | 0 | 2 | null |
2025-06-12T15:36:33.332Z
|
2025-07-01T23:30:34.231Z
| true |
2025-07-01T23:30:34.231Z
|
regular
| false | false | null | true | false | false | null | null | null | 31 | 0 | false |
jerryzh168
| 17 | false | null | false |
[
{
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"user_id": 43278
},
{
"description": "Most Recent Poster",
"extras": "latest",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 21770
}
] | null | null |
221,188 |
Install failure on Debian 12.11
|
Install failure on Debian 12.11
|
install-failure-on-debian-12-11
| 3 | 1 | 3 | null |
2025-07-01T01:56:16.664Z
|
2025-07-01T18:46:36.252Z
| true |
2025-07-01T18:46:36.252Z
|
regular
| false | false | null | true | false | false | null | null | null | 141 | 1 | false |
emerth
| 1 | false | null | true |
[
{
"description": "Original Poster, Most Recent Poster",
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"primary_group_id": null,
"user_id": 78333
},
{
"description": "Frequent Poster, Accepted Answer",
"extras": null,
"flair_group_id": null,
"primary_group_id": null,
"user_id": 3534
}
] | null | null |
221,201 |
In-place modification in backward not allowed with torch.compile
|
In-place modification in backward not allowed with torch.compile
|
in-place-modification-in-backward-not-allowed-with-torch-compile
| 2 | 0 | 2 | null |
2025-07-01T10:01:26.726Z
|
2025-07-01T18:03:32.861Z
| true |
2025-07-01T18:03:32.861Z
|
regular
| false | false | null | true | false | false | null | null | null | 20 | 0 | false |
soulitzer
| 7 | false | null | false |
[
{
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"user_id": 44694
},
{
"description": "Most Recent Poster",
"extras": "latest",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 41396
}
] | null | null |
221,204 |
Any alternatives for torch with skimage.feature.peak_local_max and scipy.optimize.linear_sum_assignment
|
Any alternatives for torch with skimage.feature.peak_local_max and scipy.optimize.linear_sum_assignment
|
any-alternatives-for-torch-with-skimage-feature-peak-local-max-and-scipy-optimize-linear-sum-assignment
| 1 | 0 | 1 | null |
2025-07-01T11:44:12.009Z
|
2025-07-01T11:44:12.049Z
| true |
2025-07-01T11:44:12.049Z
|
regular
| false | false | null | true | false | false | null | null | null | 22 | 0 | false |
thunlok
| 1 | false | null | false |
[
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"extras": "latest single",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 84482
}
] | null | null |
221,203 |
RuntimeError: function CheckpointFunctionBackward returned an incorrect number of gradients (expected 24, got 6)
|
RuntimeError: function CheckpointFunctionBackward returned an incorrect number of gradients (expected 24, got 6)
|
runtimeerror-function-checkpointfunctionbackward-returned-an-incorrect-number-of-gradients-expected-24-got-6
| 1 | 0 | 1 | null |
2025-07-01T11:24:14.062Z
|
2025-07-01T11:24:14.102Z
| true |
2025-07-01T11:24:14.102Z
|
regular
| false | false | null | true | false | false | null | null | null | 16 | 0 | false |
Programer_Salar
| 1 | false | null | false |
[
{
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"extras": "latest single",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 84585
}
] | null | null |
221,194 |
Understand the memory allocation visualization
|
Understand the memory allocation visualization
|
understand-the-memory-allocation-visualization
| 2 | 0 | 3 |
2025-07-01T06:19:12.280Z
|
2025-07-01T09:27:00.105Z
| true |
2025-07-01T09:27:00.105Z
|
regular
| false | false | null | true | false | false | null | null | null | 41 | 0 | false |
Programer_Salar
| 23 | false | null | false |
[
{
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"user_id": 80716
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"extras": "latest",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 84585
}
] | null | null |
|
221,182 |
Model parameter sizes corrupted between .fit() and .test()
|
Model parameter sizes corrupted between .fit() and .test()
|
model-parameter-sizes-corrupted-between-fit-and-test
| 1 | 0 | 1 | null |
2025-06-30T23:56:55.208Z
|
2025-06-30T23:56:55.260Z
| true |
2025-07-01T00:26:40.565Z
|
regular
| false | false | null | true | false | false | null | null | null | 18 | 0 | false |
daniimurphy
| 1 | false | null | false |
[
{
"description": "Original Poster, Most Recent Poster",
"extras": "latest single",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 84897
}
] | null | null |
220,966 |
Automatic Differentiation for RNN Leads to Issues
|
Automatic Differentiation for RNN Leads to Issues
|
automatic-differentiation-for-rnn-leads-to-issues
| 6 | 3 | 6 | null |
2025-06-21T15:53:45.715Z
|
2025-06-30T20:41:33.166Z
| true |
2025-06-30T20:41:33.166Z
|
regular
| false | false | null | true | false | false | null | null | null | 55 | 0 | false |
tonyr
| 1 | false | null | false |
[
{
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"user_id": 84774
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"primary_group_id": null,
"user_id": 1438
},
{
"description": "Most Recent Poster",
"extras": "latest",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 30062
}
] | null | null |
141,469 |
Scoring batch samples using MultivariateNormal
|
Scoring batch samples using MultivariateNormal
|
scoring-batch-samples-using-multivariatenormal
| 2 | 0 | 2 | null |
2022-01-12T11:23:25.870Z
|
2025-06-30T18:59:41.412Z
| true |
2025-06-30T19:29:52.546Z
|
regular
| false | false | null | true | false | false | null | null | null | 1,347 | 1 | false |
tbloch1
| 1 | false | null | false |
[
{
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"user_id": 50746
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"description": "Most Recent Poster",
"extras": "latest",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 80010
}
] | null | null |
132,663 |
How to check device of torch.nn.Module?
|
How to check device of torch.nn.Module?
|
how-to-check-device-of-torch-nn-module
| 3 | 1 | 3 | null |
2021-09-23T16:45:33.914Z
|
2025-06-29T15:24:19.632Z
| true |
2025-06-30T13:43:23.231Z
|
regular
| false | false | null | true | false | false | null | null | null | 16,488 | 2 | false |
mpeschel10
| 1 | false | null | false |
[
{
"description": "Original Poster",
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"primary_group_id": null,
"user_id": 19813
},
{
"description": "Most Recent Poster",
"extras": "latest",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 84778
}
] | null | null |
221,091 |
CPU usage Mac vs Linux
|
CPU usage Mac vs Linux
|
cpu-usage-mac-vs-linux
| 3 | 0 | 4 | null |
2025-06-26T20:31:26.837Z
|
2025-06-30T13:43:09.796Z
| true |
2025-06-30T13:43:09.796Z
|
regular
| false | false | null | true | false | false | null | null | null | 40 | 0 | false |
Joy_Walim
| 1 | false | null | false |
[
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{
"description": "Most Recent Poster",
"extras": "latest",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 84881
}
] | null | null |
221,166 |
Transfer learning v.s. end-to-end training
|
Transfer learning v.s. end-to-end training
|
transfer-learning-v-s-end-to-end-training
| 1 | 0 | 1 | null |
2025-06-30T13:42:59.241Z
|
2025-06-30T13:42:59.276Z
| true |
2025-06-30T13:42:59.276Z
|
regular
| false | false | null | true | false | false | null | null | null | 18 | 0 | false |
xblackdavid
| 1 | false | null | false |
[
{
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"extras": "latest single",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 84879
}
] | null | null |
220,920 |
Why is there such a significant difference between floating-point convolution and quantized integer convolution results?
|
Why is there such a significant difference between floating-point convolution and quantized integer convolution results?
|
why-is-there-such-a-significant-difference-between-floating-point-convolution-and-quantized-integer-convolution-results
| 3 | 0 | 3 |
2025-06-19T13:35:50.498Z
|
2025-06-30T11:28:31.675Z
| true |
2025-06-30T11:28:31.675Z
|
regular
| false | false | null | true | false | false | null | null | null | 29 | 0 | false |
Jack_Qasim
| 17 | false | null | false |
[
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"extras": "latest",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 84884
}
] | null | null |
|
221,094 |
Disabling guards generation using dynamo based export
|
Disabling guards generation using dynamo based export
|
disabling-guards-generation-using-dynamo-based-export
| 2 | 0 | 2 | null |
2025-06-26T23:25:11.633Z
|
2025-06-30T09:05:39.315Z
| true |
2025-06-30T09:05:39.315Z
|
regular
| false | false | null | true | false | false | null | null | null | 34 | 0 | false |
Hamza_Javaid
| 39 | false | null | false |
[
{
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"extras": null,
"flair_group_id": null,
"primary_group_id": null,
"user_id": 55803
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221,141 |
Segmentation error on MacOS because of OpenMP
|
Segmentation error on MacOS because of OpenMP
|
segmentation-error-on-macos-because-of-openmp
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2025-06-29T18:23:50.152Z
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2025-06-29T18:23:50.199Z
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220,973 |
Source build pytorch showing different result than prebuilt pytorch
|
Source build pytorch showing different result than prebuilt pytorch
|
source-build-pytorch-showing-different-result-than-prebuilt-pytorch
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2025-06-22T12:18:50.012Z
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2025-06-29T15:18:02.499Z
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2025-06-29T15:18:02.499Z
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221,138 |
Use torch_tensorrt.compiler()
|
Use torch_tensorrt.compiler()
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use-torch-tensorrt-compiler
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2025-06-29T12:39:13.524Z
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221,129 |
Using jacobian as loss function leads to inf
|
Using jacobian as loss function leads to inf
|
using-jacobian-as-loss-function-leads-to-inf
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2025-06-28T14:47:17.653Z
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2025-06-29T12:38:11.311Z
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2025-06-29T12:38:11.311Z
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220,936 |
Torch.fft in torch_tensorrt
|
Torch.fft in torch_tensorrt
|
torch-fft-in-torch-tensorrt
| 5 | 3 | 5 | null |
2025-06-20T02:14:54.452Z
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2025-06-29T11:21:18.296Z
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2025-06-29T11:21:18.296Z
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221,127 |
Call backward() twice does not incur errors
|
Call backward() twice does not incur errors
|
call-backward-twice-does-not-incur-errors
| 2 | 0 | 2 |
2025-06-28T08:18:46.513Z
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2025-06-28T15:57:00.993Z
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2025-06-28T15:57:00.993Z
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220,994 |
Building the exact same docker images as seen in Docker Hub
|
Building the exact same docker images as seen in Docker Hub
|
building-the-exact-same-docker-images-as-seen-in-docker-hub
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2025-06-23T07:59:04.706Z
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2025-06-28T14:31:00.096Z
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2025-06-28T14:31:00.096Z
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221,093 |
VGG perceptual loss on multi resolution
|
VGG perceptual loss on multi resolution
|
vgg-perceptual-loss-on-multi-resolution
| 3 | 1 | 3 | null |
2025-06-26T20:59:56.507Z
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2025-06-28T10:15:35.247Z
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2025-06-28T10:15:35.247Z
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221,108 |
Can the aten ir return both in-place and non-in-place operation parameters at the same time?
|
Can the aten ir return both in-place and non-in-place operation parameters at the same time?
|
can-the-aten-ir-return-both-in-place-and-non-in-place-operation-parameters-at-the-same-time
| 1 | 0 | 1 | null |
2025-06-27T12:07:38.782Z
|
2025-06-27T12:07:38.819Z
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2025-06-28T06:47:47.699Z
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220,885 |
Capture training graph with collectives via TorchTitan
|
Capture training graph with collectives via TorchTitan
|
capture-training-graph-with-collectives-via-torchtitan
| 7 | 4 | 7 | null |
2025-06-17T22:24:35.609Z
|
2025-06-28T02:04:46.228Z
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2025-06-28T02:04:46.228Z
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regular
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24,315 |
How to convert an affine transform matrix into "theta" to use torch.nn.functional.affine_grid()?
|
How to convert an affine transform matrix into “theta” to use torch.nn.functional.affine_grid()?
|
how-to-convert-an-affine-transform-matrix-into-theta-to-use-torch-nn-functional-affine-grid
| 12 | 7 | 12 | null |
2018-09-01T09:47:08.661Z
|
2025-06-27T23:32:03.838Z
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2025-06-27T23:32:03.838Z
|
regular
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hm77
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221,122 |
(Using Adadelta) After reloading checkpoint loss exhibit high rate of change compared to when it was saved
|
(Using Adadelta) After reloading checkpoint loss exhibit high rate of change compared to when it was saved
|
using-adadelta-after-reloading-checkpoint-loss-exhibit-high-rate-of-change-compared-to-when-it-was-saved
| 1 | 0 | 1 | null |
2025-06-27T20:53:34.965Z
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2025-06-27T20:53:35.038Z
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2025-06-27T20:53:35.038Z
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221,119 |
[Distributed w/ TorchTitan] FLUX is Here: Experience Diffusion Model Training on TorchTitan
|
[Distributed w/ TorchTitan] FLUX is Here: Experience Diffusion Model Training on TorchTitan
|
distributed-w-torchtitan-flux-is-here-experience-diffusion-model-training-on-torchtitan
| 1 | 0 | 1 |
2025-06-27T18:29:27.399Z
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2025-06-27T18:29:27.450Z
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2025-06-27T20:52:43.724Z
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jianiw
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214,371 |
What loss function should the inner loop of MAML use?
|
What loss function should the inner loop of MAML use?
|
what-loss-function-should-the-inner-loop-of-maml-use
| 3 | 0 | 4 | null |
2024-12-18T18:52:49.378Z
|
2025-06-27T18:47:36.830Z
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2025-06-27T18:47:36.830Z
|
regular
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Hamza_Javaid
| 6 | false | null | false |
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221,116 |
Copy weights from PyTorch GRU layer to TensorFlow
|
Copy weights from PyTorch GRU layer to TensorFlow
|
copy-weights-from-pytorch-gru-layer-to-tensorflow
| 1 | 0 | 1 | null |
2025-06-27T16:00:42.668Z
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2025-06-27T16:00:42.710Z
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2025-06-27T16:00:42.710Z
|
regular
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nada
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199,958 |
Memory Footprint of Eager Mode vs Torch Compiled (Default, with CUDA Graph, and CUDA Graph Dynamic)
|
Memory Footprint of Eager Mode vs Torch Compiled (Default, with CUDA Graph, and CUDA Graph Dynamic)
|
memory-footprint-of-eager-mode-vs-torch-compiled-default-with-cuda-graph-and-cuda-graph-dynamic
| 5 | 1 | 5 |
2024-04-01T06:11:37.838Z
|
2025-06-27T15:40:26.045Z
| true |
2025-06-27T15:40:26.045Z
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regular
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soulitzer
| 41 | false | null | false |
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111,099 |
ReflectionPad2D: "input tensor must fit into 32-bit index math"
|
ReflectionPad2D: “input tensor must fit into 32-bit index math”
|
reflectionpad2d-input-tensor-must-fit-into-32-bit-index-math
| 6 | 3 | 6 | null |
2021-02-06T03:50:49.466Z
|
2025-06-27T09:22:48.093Z
| true |
2025-06-27T09:22:48.093Z
|
regular
| false | false | null | true | false | false | null | null | null | 4,025 | 0 | false |
completementgaga
| 5 | false | null | false |
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215,082 |
[Distributed w/ TorchTitan] Breaking Barriers: Training Long Context LLMs with 1M Sequence Length in PyTorch Using Context Parallel
|
[Distributed w/ TorchTitan] Breaking Barriers: Training Long Context LLMs with 1M Sequence Length in PyTorch Using Context Parallel
|
distributed-w-torchtitan-breaking-barriers-training-long-context-llms-with-1m-sequence-length-in-pytorch-using-context-parallel
| 10 | 3 | 11 |
2025-01-07T22:23:24.590Z
|
2025-06-27T02:46:43.300Z
| true |
2025-06-27T02:46:43.300Z
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githubsgi
| 44 | false | null | false |
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221,096 |
Exporting model to onnx using scripted model fails
|
Exporting model to onnx using scripted model fails
|
exporting-model-to-onnx-using-scripted-model-fails
| 1 | 0 | 1 | null |
2025-06-27T00:54:44.572Z
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2025-06-27T00:54:44.619Z
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2025-06-27T00:54:44.619Z
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221,048 |
Operation for nested tensors
|
Operation for nested tensors
|
operation-for-nested-tensors
| 2 | 0 | 2 | null |
2025-06-25T11:15:05.741Z
|
2025-06-26T14:58:50.336Z
| true |
2025-06-26T14:58:50.336Z
|
regular
| false | false | null | true | false | false | null | null | null | 31 | 0 | false |
soulitzer
| 1 | false | null | false |
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] | null | null |
221,058 |
Torch.compile _softmax in MultiheadAttention does not return same value as eager
|
Torch.compile _softmax in MultiheadAttention does not return same value as eager
|
torch-compile-softmax-in-multiheadattention-does-not-return-same-value-as-eager
| 5 | 2 | 5 | null |
2025-06-25T15:05:30.543Z
|
2025-06-26T07:38:57.799Z
| true |
2025-06-26T07:38:57.799Z
|
regular
| false | false | null | true | false | false | null | null | null | 39 | 0 | false |
Eldalier
| 41 | false | null | true |
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139,499 |
Custom CUDA code utilizing tensor cores
|
Custom CUDA code utilizing tensor cores
|
custom-cuda-code-utilizing-tensor-cores
| 6 | 4 | 6 | null |
2021-12-16T03:13:49.952Z
|
2025-06-26T07:02:22.392Z
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2025-06-26T07:02:22.392Z
|
regular
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guyanji6
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199,205 |
How do I install NVTOOLSEXT
|
How do I install NVTOOLSEXT
|
how-do-i-install-nvtoolsext
| 3 | 1 | 3 | null |
2024-03-19T19:44:12.087Z
|
2025-06-26T04:45:10.998Z
| true |
2025-06-26T04:51:10.467Z
|
regular
| false | false | null | true | false | false | null | null | null | 499 | 1 | false |
FeelTheOatmeal
| 1 | false | null | false |
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221,066 |
Can't import torch even with pytorch installed
|
Can’t import torch even with pytorch installed
|
cant-import-torch-even-with-pytorch-installed
| 5 | 2 | 5 | null |
2025-06-25T19:24:54.622Z
|
2025-06-26T01:34:45.250Z
| true |
2025-06-26T01:34:45.250Z
|
regular
| false | false | null | true | false | false | null | null | null | 38 | 0 | false |
easythrees
| 14 | false | null | false |
[
{
"description": "Original Poster, Most Recent Poster",
"extras": "latest",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 84831
},
{
"description": "Frequent Poster",
"extras": null,
"flair_group_id": null,
"primary_group_id": null,
"user_id": 3534
}
] | null | null |
221,063 |
Why the reserved memory is much larger than occupied memory?
|
Why the reserved memory is much larger than occupied memory?
|
why-the-reserved-memory-is-much-larger-than-occupied-memory
| 2 | 0 | 2 |
2025-06-25T18:45:20.234Z
|
2025-06-25T22:06:03.528Z
| true |
2025-06-25T22:06:03.528Z
|
regular
| false | false | null | true | false | false | null | null | null | 35 | 0 | false |
ptrblck
| 23 | false | null | false |
[
{
"description": "Original Poster",
"extras": null,
"flair_group_id": null,
"primary_group_id": null,
"user_id": 84829
},
{
"description": "Most Recent Poster",
"extras": "latest",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 3534
}
] | null | null |
|
221,069 |
NVDECODE and NVENCODE APIs
|
NVDECODE and NVENCODE APIs
|
nvdecode-and-nvencode-apis
| 2 | 0 | 2 | null |
2025-06-25T19:44:10.740Z
|
2025-06-25T22:04:32.101Z
| true |
2025-06-25T22:04:32.101Z
|
regular
| false | false | null | true | false | false | null | null | null | 22 | 0 | false |
ptrblck
| 1 | false | null | false |
[
{
"description": "Original Poster",
"extras": null,
"flair_group_id": null,
"primary_group_id": null,
"user_id": 84832
},
{
"description": "Most Recent Poster",
"extras": "latest",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 3534
}
] | null | null |
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