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200,461 |
DataLoader memory usage keeps increasing
|
DataLoader memory usage keeps increasing
|
dataloader-memory-usage-keeps-increasing
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2024-04-08T17:09:59.519Z
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2024-09-07T05:37:21.036Z
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2024-09-07T05:37:21.036Z
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regular
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ikarus5991
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209,208 |
How to train only a certain number of parameters of a PyTorch tensor
|
How to train only a certain number of parameters of a PyTorch tensor
|
how-to-train-only-a-certain-number-of-parameters-of-a-pytorch-tensor
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2024-09-06T21:06:00.458Z
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2024-09-07T02:08:48.198Z
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2024-09-07T02:08:48.198Z
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209,210 |
Tversky Focal loss
|
Tversky Focal loss
|
tversky-focal-loss
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2024-09-06T22:07:12.205Z
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2024-09-06T22:07:12.257Z
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2024-09-06T22:07:12.257Z
|
regular
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101,881 |
Iterating batch in DataLoader takes more time after every nth iteration
|
Iterating batch in DataLoader takes more time after every nth iteration
|
iterating-batch-in-dataloader-takes-more-time-after-every-nth-iteration
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2020-11-06T10:11:12.078Z
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2024-09-06T17:50:13.499Z
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2024-09-06T17:50:13.499Z
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regular
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92,717 |
2d DCT Transform
|
2d DCT Transform
|
2d-dct-transform
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2020-08-13T17:25:47.536Z
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2024-09-06T17:48:58.839Z
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regular
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209,191 |
RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:3 and cuda:0! (when checking argument for argument index in method wrapper_CUDA__index_select)
|
RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:3 and cuda:0! (when checking argument for argument index in method wrapper_CUDA__index_select)
|
runtimeerror-expected-all-tensors-to-be-on-the-same-device-but-found-at-least-two-devices-cuda-3-and-cuda-0-when-checking-argument-for-argument-index-in-method-wrapper-cuda-index-select
| 3 | 0 | 3 | null |
2024-09-06T12:58:54.699Z
|
2024-09-06T17:35:08.874Z
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2024-09-06T17:35:08.874Z
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regular
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ptrblck
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209,203 |
Downloading Torch
|
Downloading Torch
|
downloading-torch
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2024-09-06T17:08:45.468Z
|
2024-09-06T17:08:45.520Z
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2024-09-06T17:17:25.821Z
|
regular
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mbandyo
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] | null | null |
209,173 |
nn.ModuleList() or Not?
|
nn.ModuleList() or Not?
|
nn-modulelist-or-not
| 2 | 0 | 2 | null |
2024-09-06T06:26:24.790Z
|
2024-09-06T15:50:10.253Z
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2024-09-06T15:50:10.253Z
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regular
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149,053 |
How to optimize memory allocation with intermediate tensor operations
|
How to optimize memory allocation with intermediate tensor operations
|
how-to-optimize-memory-allocation-with-intermediate-tensor-operations
| 5 | 1 | 5 | null |
2022-04-13T15:58:31.072Z
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2024-09-06T14:34:37.042Z
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2024-09-06T14:34:37.042Z
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regular
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mslyon
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"user_id": 76908
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209,194 |
Why does modifying the training code affect processes that have already started training (Windows)?
|
Why does modifying the training code affect processes that have already started training (Windows)?
|
why-does-modifying-the-training-code-affect-processes-that-have-already-started-training-windows
| 1 | 0 | 1 | null |
2024-09-06T13:24:27.531Z
|
2024-09-06T13:24:27.587Z
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2024-09-06T13:24:27.587Z
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regular
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176,744 |
RuntimeError: Distributed package doesn't have NCCL built in
|
RuntimeError: Distributed package doesn’t have NCCL built in
|
runtimeerror-distributed-package-doesnt-have-nccl-built-in
| 52 | 31 | 54 |
2023-04-05T08:53:11.154Z
|
2024-09-06T12:59:39.043Z
| true |
2024-09-06T12:59:39.043Z
|
regular
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ptrblck
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209,153 |
Shard Tensor Across Specific Ranks
|
Shard Tensor Across Specific Ranks
|
shard-tensor-across-specific-ranks
| 3 | 1 | 3 | null |
2024-09-05T13:42:50.401Z
|
2024-09-06T11:48:45.286Z
| true |
2024-09-06T12:09:07.119Z
|
regular
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cruzas2
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"extras": null,
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] | null | null |
209,188 |
Autograd.grad returns "TypeError: ones_like(): argument 'input' (position 1) must be Tensor, not NoneType"
|
Autograd.grad returns “TypeError: ones_like(): argument ‘input’ (position 1) must be Tensor, not NoneType”
|
autograd-grad-returns-typeerror-ones-like-argument-input-position-1-must-be-tensor-not-nonetype
| 1 | 0 | 1 | null |
2024-09-06T10:06:32.853Z
|
2024-09-06T10:06:32.914Z
| true |
2024-09-06T10:06:32.914Z
|
regular
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cnn
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] | null | null |
102,553 |
Batch Normalization Layer: saving and loading the running stats
|
Batch Normalization Layer: saving and loading the running stats
|
batch-normalization-layer-saving-and-loading-the-running-stats
| 6 | 3 | 6 | null |
2020-11-12T13:56:01.867Z
|
2024-09-06T06:52:07.850Z
| true |
2024-09-06T06:52:07.850Z
|
regular
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Nimeshika_Udayangani
| 1 | false | null | true |
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] | null | null |
208,988 |
nn.Conv2d produces NaNs when specific value of out_channels is set
|
nn.Conv2d produces NaNs when specific value of out_channels is set
|
nn-conv2d-produces-nans-when-specific-value-of-out-channels-is-set
| 6 | 4 | 6 | null |
2024-09-02T15:55:56.404Z
|
2024-09-06T05:40:48.554Z
| true |
2024-09-06T05:40:48.554Z
|
regular
| false | false | null | true | false | false | null | null | null | 65 | 1 | false |
ptrblck
| 1 | false | null | true |
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"extras": "latest",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 3534
}
] | null | null |
209,127 |
Activation Checkpointing Behavior with Branches
|
Activation Checkpointing Behavior with Branches
|
activation-checkpointing-behavior-with-branches
| 2 | 0 | 2 | null |
2024-09-05T07:31:24.902Z
|
2024-09-05T09:48:20.394Z
| true |
2024-09-06T04:40:08.283Z
|
regular
| false | false | null | true | false | false | null | null | null | 378 | 0 | false |
cris458carlo
| 7 | false | null | false |
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] | null | null |
203,939 |
FSDP summon_full_parameter: unsharded size error
|
FSDP summon_full_parameter: unsharded size error
|
fsdp-summon-full-parameter-unsharded-size-error
| 5 | 2 | 5 | null |
2024-06-03T05:54:55.143Z
|
2024-09-06T04:10:02.449Z
| true |
2024-09-06T04:10:02.449Z
|
regular
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Jiaji_Huang
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"user_id": 78695
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] | null | null |
209,169 |
Tracking progress during inference
|
Tracking progress during inference
|
tracking-progress-during-inference
| 1 | 0 | 1 | null |
2024-09-06T00:34:46.728Z
|
2024-09-06T00:34:46.781Z
| true |
2024-09-06T00:34:46.781Z
|
regular
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Olek
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209,166 |
Transfer learning implementation problem
|
Transfer learning implementation problem
|
transfer-learning-implementation-problem
| 1 | 0 | 1 | null |
2024-09-05T22:02:34.932Z
|
2024-09-05T22:02:34.986Z
| true |
2024-09-05T22:03:07.075Z
|
regular
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andreasrouv
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] | null | null |
209,160 |
Identity loss in CycleGAN with different input/output shape generators
|
Identity loss in CycleGAN with different input/output shape generators
|
identity-loss-in-cyclegan-with-different-input-output-shape-generators
| 1 | 0 | 1 | null |
2024-09-05T19:24:38.713Z
|
2024-09-05T19:24:38.766Z
| true |
2024-09-05T19:24:38.766Z
|
regular
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foti
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] | null | null |
209,128 |
The training speed suddenly become slow sometimes
|
The training speed suddenly become slow sometimes
|
the-training-speed-suddenly-become-slow-sometimes
| 2 | 0 | 2 | null |
2024-09-05T07:38:06.355Z
|
2024-09-05T18:51:37.216Z
| true |
2024-09-05T18:51:37.216Z
|
regular
| false | false | null | true | false | false | null | null | null | 63 | 0 | false |
ptrblck
| 1 | false | null | false |
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] | null | null |
192,264 |
Is there any Pytorch tutorial official about LLM?
|
Is there any Pytorch tutorial official about LLM?
|
is-there-any-pytorch-tutorial-official-about-llm
| 6 | 3 | 6 | null |
2023-11-21T04:34:31.957Z
|
2024-09-05T15:47:59.119Z
| true |
2024-09-05T15:47:59.119Z
|
regular
| false | false | null | true | false | false | null | null | null | 5,260 | 3 | false |
byjlw
| 1 | false | null | false |
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209,074 |
Sparse matrix computation in pytorch
|
Sparse matrix computation in pytorch
|
sparse-matrix-computation-in-pytorch
| 4 | 0 | 4 | null |
2024-09-04T09:21:48.235Z
|
2024-09-05T15:25:49.950Z
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2024-09-05T15:25:49.950Z
|
regular
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Soumya_Kundu
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209,132 |
RuntimeError: Tensor for argument weight is on cpu but expected on mps
|
RuntimeError: Tensor for argument weight is on cpu but expected on mps
|
runtimeerror-tensor-for-argument-weight-is-on-cpu-but-expected-on-mps
| 2 | 0 | 2 | null |
2024-09-05T09:05:33.195Z
|
2024-09-05T15:04:18.564Z
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2024-09-05T15:04:18.564Z
|
regular
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209,102 |
NVIDIA RTX A4000 with cuda capability sm_86 is not compatible with current Pytorch installation
|
NVIDIA RTX A4000 with cuda capability sm_86 is not compatible with current Pytorch installation
|
nvidia-rtx-a4000-with-cuda-capability-sm-86-is-not-compatible-with-current-pytorch-installation
| 4 | 1 | 4 | null |
2024-09-04T18:09:28.921Z
|
2024-09-05T14:08:10.959Z
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2024-09-05T14:08:10.959Z
|
regular
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ptrblck
| 1 | false | null | false |
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] | null | null |
209,151 |
RedHat, CUDA 12.4 - torch GPU not avaiable
|
RedHat, CUDA 12.4 - torch GPU not avaiable
|
redhat-cuda-12-4-torch-gpu-not-avaiable
| 2 | 0 | 2 |
2024-09-05T13:01:06.808Z
|
2024-09-05T14:04:23.187Z
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2024-09-05T14:04:23.187Z
|
regular
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ptrblck
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] | null | null |
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43,514 |
Does sparse_image_warp (from TF) exist in Pytorch?
|
Does sparse_image_warp (from TF) exist in Pytorch?
|
does-sparse-image-warp-from-tf-exist-in-pytorch
| 9 | 1 | 9 | null |
2019-04-25T00:38:11.206Z
|
2024-09-05T13:11:14.150Z
| true |
2024-09-05T13:11:51.273Z
|
regular
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107,325 |
Size mismatch of embedding weights while loading
|
Size mismatch of embedding weights while loading
|
size-mismatch-of-embedding-weights-while-loading
| 7 | 4 | 7 | null |
2020-12-28T12:31:43.402Z
|
2024-09-05T10:53:31.050Z
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2024-09-05T11:15:26.557Z
|
regular
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Siddharth_S
| 1 | false | null | false |
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209,079 |
Runtime error in torch.cuda.FloatTensor and weight type torch.Float.Tensor should be same
|
Runtime error in torch.cuda.FloatTensor and weight type torch.Float.Tensor should be same
|
runtime-error-in-torch-cuda-floattensor-and-weight-type-torch-float-tensor-should-be-same
| 4 | 1 | 4 | null |
2024-09-04T10:41:04.846Z
|
2024-09-05T10:41:53.805Z
| true |
2024-09-05T10:41:53.805Z
|
regular
| false | false | null | true | false | false | null | null | null | 40 | 0 | false |
Soumya_Kundu
| 5 | false | null | false |
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"flair_group_id": null,
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] | null | null |
209,143 |
CUDAGraph generate different results
|
CUDAGraph generate different results
|
cudagraph-generate-different-results
| 1 | 0 | 1 | null |
2024-09-05T10:17:45.135Z
|
2024-09-05T10:17:45.194Z
| true |
2024-09-05T10:17:45.194Z
|
regular
| false | false | null | true | false | false | null | null | null | 66 | 0 | false |
patataman
| 1 | false | null | false |
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"extras": "latest single",
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"primary_group_id": null,
"user_id": 73298
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] | null | null |
209,136 |
Issue with torch.layer_norm Function Returning NaN Values
|
Issue with torch.layer_norm Function Returning NaN Values
|
issue-with-torch-layer-norm-function-returning-nan-values
| 1 | 0 | 1 | null |
2024-09-05T09:24:12.051Z
|
2024-09-05T09:24:12.138Z
| true |
2024-09-05T09:24:12.138Z
|
regular
| false | false | null | true | false | false | null | null | null | 18 | 0 | false |
HichTala
| 1 | false | null | false |
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"flair_group_id": null,
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"user_id": 78698
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] | null | null |
209,125 |
Facing inplace operation in NTM similar works
|
Facing inplace operation in NTM similar works
|
facing-inplace-operation-in-ntm-similar-works
| 2 | 0 | 2 | null |
2024-09-05T06:46:32.736Z
|
2024-09-05T06:51:06.220Z
| true |
2024-09-05T06:51:06.220Z
|
regular
| false | false | null | true | false | false | null | null | null | 137 | 0 | false |
yf_chen
| 7 | false | null | false |
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"primary_group_id": null,
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] | null | null |
208,190 |
OpenCL backend for pytorch - now easily installables
|
OpenCL backend for pytorch - now easily installables
|
opencl-backend-for-pytorch-now-easily-installables
| 2 | 0 | 2 | null |
2024-08-16T20:39:18.228Z
|
2024-09-05T06:31:56.245Z
| true |
2024-09-05T06:31:56.245Z
|
regular
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artyom-beilis
| 33 | false | null | false |
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"primary_group_id": null,
"user_id": 47540
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] | null | null |
208,272 |
Replacing torch.zeros internals with cudaMemset instead of fill kernel
|
Replacing torch.zeros internals with cudaMemset instead of fill kernel
|
replacing-torch-zeros-internals-with-cudamemset-instead-of-fill-kernel
| 3 | 0 | 3 | null |
2024-08-19T07:28:51.750Z
|
2024-09-05T06:15:35.993Z
| true |
2024-09-05T06:22:19.359Z
|
regular
| false | false | null | true | false | false | null | null | null | 236 | 0 | false |
anguswang
| 23 | false | null | false |
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] | null | null |
209,104 |
Pass large data into mp.spawn
|
Pass large data into mp.spawn
|
pass-large-data-into-mp-spawn
| 1 | 0 | 1 | null |
2024-09-04T18:13:34.019Z
|
2024-09-04T18:13:34.123Z
| true |
2024-09-05T05:45:27.915Z
|
regular
| false | false | null | true | false | false | null | null | null | 121 | 0 | false |
Tigran_Ishkhanov
| 1 | false | null | false |
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"user_id": 66984
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] | null | null |
176,596 |
Why bf16 do not need loss scaling?
|
Why bf16 do not need loss scaling?
|
why-bf16-do-not-need-loss-scaling
| 5 | 2 | 5 | null |
2023-04-04T01:40:40.409Z
|
2024-09-05T03:24:35.973Z
| true |
2024-09-05T03:24:35.973Z
|
regular
| false | false | null | true | false | false | null | null | null | 4,552 | 2 | false |
cyk2018
| 27 | false | null | true |
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] | null | null |
12,146 |
CNN fp16 slower than fp32 on Tesla P100
|
CNN fp16 slower than fp32 on Tesla P100
|
cnn-fp16-slower-than-fp32-on-tesla-p100
| 9 | 5 | 9 | null |
2018-01-11T07:02:02.731Z
|
2024-09-05T03:02:36.584Z
| true |
2024-09-05T03:02:36.584Z
|
regular
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cyk2018
| 5 | false | null | true |
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] | null | null |
209,111 |
CUDA Out of Memory during Inference
|
CUDA Out of Memory during Inference
|
cuda-out-of-memory-during-inference
| 1 | 0 | 1 | null |
2024-09-05T02:03:22.040Z
|
2024-09-05T02:03:22.098Z
| true |
2024-09-05T02:03:22.098Z
|
regular
| false | false | null | true | false | false | null | null | null | 116 | 0 | false |
cudaoom
| 1 | false | null | false |
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"user_id": 78688
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] | null | null |
206,326 |
Setting DTensor OpDispatcher's allow_implicit_replication flag from environment variable for distributed inference of HuggingFace models
|
Setting DTensor OpDispatcher’s allow_implicit_replication flag from environment variable for distributed inference of HuggingFace models
|
setting-dtensor-opdispatchers-allow-implicit-replication-flag-from-environment-variable-for-distributed-inference-of-huggingface-models
| 3 | 0 | 3 | null |
2024-07-15T15:09:09.757Z
|
2024-09-04T23:19:48.387Z
| true |
2024-09-04T23:19:48.387Z
|
regular
| false | false | null | true | false | false | null | null | null | 570 | 1 | false |
irisz
| 12 | false | null | false |
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"flair_group_id": null,
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] | null | null |
207,072 |
Im following all the steps but i still cant connect my pytorch to gpu
|
Im following all the steps but i still cant connect my pytorch to gpu
|
im-following-all-the-steps-but-i-still-cant-connect-my-pytorch-to-gpu
| 8 | 4 | 8 | null |
2024-07-27T04:56:25.926Z
|
2024-09-04T21:28:47.607Z
| true |
2024-09-04T21:28:47.607Z
|
regular
| false | false | null | true | false | false | null | null | null | 606 | 0 | false |
ptrblck
| 40 | 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 |
209,105 |
How to make same input/output for autoencoder?
|
How to make same input/output for autoencoder?
|
how-to-make-same-input-output-for-autoencoder
| 5 | 2 | 5 | null |
2024-09-04T18:15:26.013Z
|
2024-09-04T20:45:01.639Z
| true |
2024-09-04T20:45:01.639Z
|
regular
| false | false | null | true | false | false | null | null | null | 39 | 1 | false |
nim9405
| 1 | false | null | false |
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"extras": null,
"flair_group_id": null,
"primary_group_id": null,
"user_id": 77632
}
] | null | null |
208,942 |
How to improve training performance with Apex package
|
How to improve training performance with Apex package
|
how-to-improve-training-performance-with-apex-package
| 7 | 5 | 7 | null |
2024-09-01T05:09:42.918Z
|
2024-09-04T15:18:00.633Z
| true |
2024-09-04T15:18:00.633Z
|
regular
| false | false | null | true | false | false | null | null | null | 53 | 0 | false |
ptrblck
| 26 | false | null | false |
[
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"extras": "latest",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 3534
}
] | null | null |
209,060 |
Building cov1d model with residual block + hypermeter tunner
|
Building cov1d model with residual block + hypermeter tunner
|
building-cov1d-model-with-residual-block-hypermeter-tunner
| 2 | 0 | 2 | null |
2024-09-04T05:08:59.297Z
|
2024-09-04T15:08:27.816Z
| true |
2024-09-04T15:08:27.816Z
|
regular
| false | false | null | true | false | false | null | null | null | 127 | 1 | false |
ptrblck
| 1 | false | null | true |
[
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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 |
209,071 |
Dataloader leads to a slow backward process?
|
Dataloader leads to a slow backward process?
|
dataloader-leads-to-a-slow-backward-process
| 3 | 0 | 3 |
2024-09-04T07:28:13.027Z
|
2024-09-04T11:26:53.066Z
| true |
2024-09-04T11:26:53.066Z
|
regular
| false | false | null | true | false | false | null | null | null | 27 | 0 | false |
Soumya_Kundu
| 7 | false | null | false |
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"extras": "latest",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 68149
}
] | null | null |
|
209,052 |
What build steps are needed to reproduce libtorch release build?
|
What build steps are needed to reproduce libtorch release build?
|
what-build-steps-are-needed-to-reproduce-libtorch-release-build
| 1 | 0 | 1 | null |
2024-09-04T00:58:39.017Z
|
2024-09-04T00:58:39.078Z
| true |
2024-09-04T06:56:47.266Z
|
regular
| false | false | null | true | false | false | null | null | null | 23 | 0 | false |
ryguy
| 26 | false | null | false |
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"extras": "latest single",
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"primary_group_id": null,
"user_id": 75223
}
] | null | null |
209,066 |
Deploying image segmentation YOLO models using torchscript and Next.js
|
Deploying image segmentation YOLO models using torchscript and Next.js
|
deploying-image-segmentation-yolo-models-using-torchscript-and-next-js
| 1 | 0 | 1 | null |
2024-09-04T05:52:37.339Z
|
2024-09-04T05:52:37.388Z
| true |
2024-09-04T05:52:37.388Z
|
regular
| false | false | null | true | false | false | null | null | null | 86 | 0 | false |
raian-ruku
| 14 | false | null | false |
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"primary_group_id": null,
"user_id": 78666
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] | null | null |
209,064 |
Overlapping compute and repeated communication
|
Overlapping compute and repeated communication
|
overlapping-compute-and-repeated-communication
| 1 | 0 | 1 | null |
2024-09-04T05:41:49.037Z
|
2024-09-04T05:41:49.135Z
| true |
2024-09-04T05:41:49.135Z
|
regular
| false | false | null | true | false | false | null | null | null | 248 | 0 | false |
Jacob_Buckman
| 12 | false | null | false |
[
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"extras": "latest single",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 78665
}
] | null | null |
209,053 |
How does Pytorch sequence together modules
|
How does Pytorch sequence together modules
|
how-does-pytorch-sequence-together-modules
| 2 | 0 | 2 | null |
2024-09-04T01:53:50.161Z
|
2024-09-04T02:13:14.072Z
| true |
2024-09-04T02:13:14.072Z
|
regular
| false | false | null | true | false | false | null | null | null | 18 | 0 | false |
ptrblck
| 1 | false | null | true |
[
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"extras": "latest",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 3534
}
] | null | null |
209,050 |
Classifier Outputs The Same Probabilities For All Samples
|
Classifier Outputs The Same Probabilities For All Samples
|
classifier-outputs-the-same-probabilities-for-all-samples
| 1 | 0 | 1 | null |
2024-09-04T00:04:00.961Z
|
2024-09-04T00:04:01.016Z
| true |
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209,005 |
Source code for gradient clipping and noise addition in Opacus
|
Source code for gradient clipping and noise addition in Opacus
|
source-code-for-gradient-clipping-and-noise-addition-in-opacus
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209,044 |
Model Built on Pre-Trained Embeddings Does Not Learn
|
Model Built on Pre-Trained Embeddings Does Not Learn
|
model-built-on-pre-trained-embeddings-does-not-learn
| 1 | 0 | 1 | null |
2024-09-03T19:11:26.232Z
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2024-09-03T19:11:26.283Z
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209,015 |
Memory efficient multiple matrix multiplication
|
Memory efficient multiple matrix multiplication
|
memory-efficient-multiple-matrix-multiplication
| 5 | 3 | 5 | null |
2024-09-03T09:42:31.810Z
|
2024-09-03T17:39:09.000Z
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119,387 |
Feature extraction + fine tuning in resnet50
|
Feature extraction + fine tuning in resnet50
|
feature-extraction-fine-tuning-in-resnet50
| 2 | 0 | 2 | null |
2021-04-26T00:42:47.074Z
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209,033 |
Torch error The specified module could not be found.
|
Torch error The specified module could not be found.
|
torch-error-the-specified-module-could-not-be-found
| 2 | 0 | 2 | null |
2024-09-03T15:43:46.361Z
|
2024-09-03T15:44:31.547Z
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209,032 |
Are there any opensource codes that implement Dynamic Sparse Training in pytorch?
|
Are there any opensource codes that implement Dynamic Sparse Training in pytorch?
|
are-there-any-opensource-codes-that-implement-dynamic-sparse-training-in-pytorch
| 1 | 0 | 1 | null |
2024-09-03T15:13:47.281Z
|
2024-09-03T15:13:47.345Z
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Mayank_Kumar
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209,002 |
Cuda is not availble on 2080 TI
|
Cuda is not availble on 2080 TI
|
cuda-is-not-availble-on-2080-ti
| 3 | 1 | 3 |
2024-09-03T06:04:38.447Z
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2024-09-03T15:01:05.427Z
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|
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209,031 |
Affine transformation with different angles and translations
|
Affine transformation with different angles and translations
|
affine-transformation-with-different-angles-and-translations
| 1 | 0 | 1 | null |
2024-09-03T15:00:54.330Z
|
2024-09-03T15:00:54.388Z
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2024-09-03T15:00:54.388Z
|
regular
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PabloVD
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208,986 |
How to reverse pruning in pytorch?
|
How to reverse pruning in pytorch?
|
how-to-reverse-pruning-in-pytorch
| 4 | 1 | 4 | null |
2024-09-02T14:55:59.166Z
|
2024-09-03T14:13:51.286Z
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2024-09-03T14:13:51.286Z
|
regular
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Soumya_Kundu
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] | null | null |
209,000 |
Data transferring bettween GPUs
|
Data transferring bettween GPUs
|
data-transferring-bettween-gpus
| 2 | 0 | 2 | null |
2024-09-03T02:02:04.548Z
|
2024-09-03T12:25:39.084Z
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2024-09-03T12:25:39.084Z
|
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| 1 | false | null | false |
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] | null | null |
154,535 |
RuntimeError: Expected 3D (unbatched) or 4D (batched) input to conv2d, but got input of size: [1, 1, 374, 402, 3]
|
RuntimeError: Expected 3D (unbatched) or 4D (batched) input to conv2d, but got input of size: [1, 1, 374, 402, 3]
|
runtimeerror-expected-3d-unbatched-or-4d-batched-input-to-conv2d-but-got-input-of-size-1-1-374-402-3
| 10 | 7 | 11 |
2022-06-19T16:38:15.544Z
|
2024-09-03T12:22:23.182Z
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2024-09-03T12:22:23.182Z
|
regular
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| 1 | false | null | false |
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209,022 |
New Custom Operators manual for triton server
|
New Custom Operators manual for triton server
|
new-custom-operators-manual-for-triton-server
| 1 | 0 | 1 | null |
2024-09-03T11:08:05.102Z
|
2024-09-03T11:08:05.167Z
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2024-09-03T11:08:05.167Z
|
regular
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HadiSDev
| 11 | false | null | false |
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"user_id": 78649
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] | null | null |
208,896 |
1 channel faster r-cnn
|
1 channel faster r-cnn
|
1-channel-faster-r-cnn
| 3 | 0 | 3 | null |
2024-08-30T16:41:25.156Z
|
2024-09-03T09:40:38.558Z
| true |
2024-09-03T09:49:27.616Z
|
regular
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stiven_Hidri
| 5 | false | null | false |
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"primary_group_id": null,
"user_id": 78546
}
] | null | null |
209,012 |
How to get required input shape of traced model on libtorch
|
How to get required input shape of traced model on libtorch
|
how-to-get-required-input-shape-of-traced-model-on-libtorch
| 1 | 0 | 1 | null |
2024-09-03T08:57:08.319Z
|
2024-09-03T08:57:08.430Z
| true |
2024-09-03T08:57:08.430Z
|
regular
| false | false | null | true | false | false | null | null | null | 71 | 0 | false |
kohyoung
| 11 | false | null | false |
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"user_id": 78647
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] | null | null |
118,450 |
Installation of PyTorch with CUDA (RTX 2080 Ti, CUDA 11.1)
|
Installation of PyTorch with CUDA (RTX 2080 Ti, CUDA 11.1)
|
installation-of-pytorch-with-cuda-rtx-2080-ti-cuda-11-1
| 6 | 3 | 6 | null |
2021-04-16T14:24:12.368Z
|
2024-09-03T06:00:54.071Z
| true |
2024-09-03T06:00:54.071Z
|
regular
| false | false | null | true | false | false | null | null | null | 11,766 | 3 | false |
Abdelkareem_Elkhateb
| 26 | false | null | true |
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] | null | null |
208,997 |
Reference to a runtime error: One of the variables needed to calculate the gradient has been changed using the built-in operation: [torch.cuda.FloatTensor [3, 3]], which is the result of 0 for ReluBackward0, has version 1; version 0 was expected instead
|
Reference to a runtime error: One of the variables needed to calculate the gradient has been changed using the built-in operation: [torch.cuda.FloatTensor [3, 3]], which is the result of 0 for ReluBackward0, has version 1; version 0 was expected instead
|
reference-to-a-runtime-error-one-of-the-variables-needed-to-calculate-the-gradient-has-been-changed-using-the-built-in-operation-torch-cuda-floattensor-3-3-which-is-the-result-of-0-for-relubackward0-has-version-1-version-0-was-expected-instead
| 2 | 0 | 2 | null |
2024-09-02T20:13:09.550Z
|
2024-09-03T03:34:12.758Z
| true |
2024-09-03T03:34:12.758Z
|
regular
| false | false | null | true | false | false | null | null | null | 25 | 0 | false |
Soumya_Kundu
| 1 | false | null | false |
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"user_id": 68149
}
] | null | null |
208,993 |
shap.DeepExplainer(model, background) method of SHAP is not working to explain classification results of VGG16 model
|
shap.DeepExplainer(model, background) method of SHAP is not working to explain classification results of VGG16 model
|
shap-deepexplainer-model-background-method-of-shap-is-not-working-to-explain-classification-results-of-vgg16-model
| 1 | 0 | 1 | null |
2024-09-02T19:23:55.151Z
|
2024-09-02T19:23:55.216Z
| true |
2024-09-03T02:53:23.507Z
|
regular
| false | false | null | true | false | false | null | null | null | 117 | 0 | false |
Prajakta_Rathod
| 1 | false | null | false |
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"user_id": 58119
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] | null | null |
208,034 |
AttributeError: 'NoneType' object has no attribute 'is_failed'
|
AttributeError: ‘NoneType’ object has no attribute ‘is_failed’
|
attributeerror-nonetype-object-has-no-attribute-is-failed
| 6 | 4 | 6 | null |
2024-08-13T21:19:08.224Z
|
2024-09-02T23:45:37.889Z
| true |
2024-09-02T23:45:37.889Z
|
regular
| false | false | null | true | false | false | null | null | null | 245 | 0 | false |
Osama_Abu_Hamdan
| 12 | false | null | false |
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"flair_group_id": null,
"primary_group_id": null,
"user_id": 78243
}
] | null | null |
208,855 |
Profiling time spent during DP training
|
Profiling time spent during DP training
|
profiling-time-spent-during-dp-training
| 3 | 1 | 3 | null |
2024-08-29T19:50:52.375Z
|
2024-09-02T22:46:04.599Z
| true |
2024-09-02T22:46:04.599Z
|
regular
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Lixing_Zheng
| 29 | false | null | false |
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}
] | null | null |
201,964 |
Weird behaviour of insufficient resources error in torch.sparse.mm
|
Weird behaviour of insufficient resources error in torch.sparse.mm
|
weird-behaviour-of-insufficient-resources-error-in-torch-sparse-mm
| 6 | 3 | 6 | null |
2024-05-02T09:21:22.576Z
|
2024-09-02T18:15:45.388Z
| true |
2024-09-02T18:15:45.388Z
|
regular
| false | false | null | true | false | false | null | null | null | 392 | 2 | false |
Y_So_Salty
| 1 | false | null | false |
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"flair_group_id": null,
"primary_group_id": null,
"user_id": 78338
}
] | null | null |
208,950 |
Computationally similar functions result in different behavior. Am I missing someting wrt to autograd
|
Computationally similar functions result in different behavior. Am I missing someting wrt to autograd
|
computationally-similar-functions-result-in-different-behavior-am-i-missing-someting-wrt-to-autograd
| 4 | 2 | 4 | null |
2024-09-01T16:04:40.114Z
|
2024-09-02T16:36:39.577Z
| true |
2024-09-02T16:36:39.577Z
|
regular
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KFrank
| 7 | false | null | false |
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"extras": "latest",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 18088
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] | null | null |
208,899 |
How to avoid check_object_id (ID_MATCH) on nn.Module objects?
|
How to avoid check_object_id (ID_MATCH) on nn.Module objects?
|
how-to-avoid-check-object-id-id-match-on-nn-module-objects
| 3 | 1 | 3 | null |
2024-08-30T16:56:02.283Z
|
2024-09-02T11:24:22.725Z
| true |
2024-09-02T11:29:33.453Z
|
regular
| false | false | null | true | false | false | null | null | null | 95 | 0 | false |
Alexander_Shekhovts
| 41 | false | null | false |
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"primary_group_id": null,
"user_id": 78599
}
] | null | null |
208,977 |
Dynamic Node assigning in DDP
|
Dynamic Node assigning in DDP
|
dynamic-node-assigning-in-ddp
| 1 | 0 | 1 | null |
2024-09-02T11:02:10.356Z
|
2024-09-02T11:02:10.420Z
| true |
2024-09-02T11:02:10.420Z
|
regular
| false | false | null | true | false | false | null | null | null | 122 | 0 | false |
omidnr
| 12 | false | null | false |
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"flair_group_id": null,
"primary_group_id": null,
"user_id": 75494
}
] | null | null |
208,951 |
Modifying `_modules` is equivalent to modify member variable in a model?
|
Modifying `_modules` is equivalent to modify member variable in a model?
|
modifying-modules-is-equivalent-to-modify-member-variable-in-a-model
| 1 | 0 | 1 | null |
2024-09-01T17:08:32.724Z
|
2024-09-01T17:08:32.782Z
| true |
2024-09-02T09:54:55.369Z
|
regular
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jack_S
| 1 | false | null | false |
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"primary_group_id": null,
"user_id": 64840
}
] | null | null |
208,832 |
Pytorch MultiTask Model
|
Pytorch MultiTask Model
|
pytorch-multitask-model
| 3 | 0 | 3 | null |
2024-08-29T12:34:58.846Z
|
2024-09-02T09:32:45.442Z
| true |
2024-09-02T09:32:45.442Z
|
regular
| false | false | null | true | false | false | null | null | null | 198 | 1 | false |
seongmo_Hwang
| 1 | false | null | true |
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"extras": null,
"flair_group_id": null,
"primary_group_id": null,
"user_id": 68149
}
] | null | null |
208,967 |
Import Dataloader couldnt be resolved
|
Import Dataloader couldnt be resolved
|
import-dataloader-couldnt-be-resolved
| 3 | 1 | 3 | null |
2024-09-02T07:20:48.880Z
|
2024-09-02T08:13:42.240Z
| true |
2024-09-02T08:16:20.281Z
|
regular
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99,621 |
Training with CTC loss for OCR produces same output
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Training with CTC loss for OCR produces same output
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training-with-ctc-loss-for-ocr-produces-same-output
| 2 | 0 | 2 | null |
2020-10-16T10:56:18.069Z
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208,966 |
Leveraging half-precision training in PPO and Transformer-XL
|
Leveraging half-precision training in PPO and Transformer-XL
|
leveraging-half-precision-training-in-ppo-and-transformer-xl
| 1 | 0 | 1 | null |
2024-09-02T07:15:01.052Z
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2024-09-02T07:15:01.119Z
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2024-09-02T07:32:10.034Z
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208,963 |
Applying Attention and MLP in a Transformer-Based Prediction Model
|
Applying Attention and MLP in a Transformer-Based Prediction Model
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applying-attention-and-mlp-in-a-transformer-based-prediction-model
| 1 | 0 | 1 | null |
2024-09-02T05:42:12.750Z
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2024-09-02T05:42:12.805Z
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207,137 |
Conformer has no positional encoding
|
Conformer has no positional encoding
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conformer-has-no-positional-encoding
| 1 | 0 | 1 | null |
2024-07-28T17:10:06.338Z
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2024-07-28T17:10:06.439Z
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2024-09-02T04:40:42.926Z
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regular
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208,922 |
Linux stops training while windows doesen't
|
Linux stops training while windows doesen’t
|
linux-stops-training-while-windows-doesent
| 5 | 2 | 5 | null |
2024-08-31T10:43:43.015Z
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2024-09-01T15:17:30.153Z
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2024-09-01T15:17:30.153Z
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regular
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ptrblck
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188,096 |
I encountered a version issue while running PyTorch. The code runs smoothly with PyTorch 1.6, but it doesn't work with PyTorch 1.13.
|
I encountered a version issue while running PyTorch. The code runs smoothly with PyTorch 1.6, but it doesn’t work with PyTorch 1.13.
|
i-encountered-a-version-issue-while-running-pytorch-the-code-runs-smoothly-with-pytorch-1-6-but-it-doesnt-work-with-pytorch-1-13
| 4 | 0 | 4 | null |
2023-09-11T14:12:27.961Z
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2024-09-01T10:49:20.637Z
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regular
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208,937 |
Classification head in model
|
Classification head in model
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classification-head-in-model
| 2 | 0 | 2 | null |
2024-08-31T21:41:00.844Z
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2024-09-01T08:42:20.321Z
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regular
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193,755 |
There is no option pytorch for CUDA 12.2 and latest 12.3
|
There is no option pytorch for CUDA 12.2 and latest 12.3
|
there-is-no-option-pytorch-for-cuda-12-2-and-latest-12-3
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2023-12-15T07:04:26.867Z
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2024-08-31T16:11:49.324Z
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2024-08-31T16:11:49.324Z
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regular
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ptrblck
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] | null | null |
208,924 |
Visualize Model
|
Visualize Model
|
visualize-model
| 2 | 0 | 2 | null |
2024-08-31T13:20:54.949Z
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2024-08-31T15:17:26.374Z
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2024-08-31T15:17:26.374Z
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regular
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Soumya_Kundu
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208,932 |
Index out of range after using Subset()
|
Index out of range after using Subset()
|
index-out-of-range-after-using-subset
| 1 | 0 | 1 | null |
2024-08-31T14:26:48.533Z
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2024-08-31T14:26:48.583Z
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2024-08-31T14:26:48.583Z
|
regular
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trashpanda
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208,926 |
How to run multiple models in different C++ threads with different num_threads
|
How to run multiple models in different C++ threads with different num_threads
|
how-to-run-multiple-models-in-different-c-threads-with-different-num-threads
| 1 | 0 | 1 | null |
2024-08-31T13:26:05.318Z
|
2024-08-31T13:26:05.368Z
| true |
2024-08-31T13:26:05.368Z
|
regular
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James_Pinkerton
| 11 | false | null | false |
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"primary_group_id": null,
"user_id": 78608
}
] | null | null |
208,909 |
NCCL operations have failed or timed out
|
NCCL operations have failed or timed out
|
nccl-operations-have-failed-or-timed-out
| 1 | 0 | 1 | null |
2024-08-30T22:14:08.935Z
|
2024-08-30T22:14:08.990Z
| true |
2024-08-31T11:43:22.188Z
|
regular
| false | false | null | true | false | false | null | null | null | 237 | 0 | false |
Baraa
| 1 | false | null | false |
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] | null | null |
205,444 |
Replicate training of wav2vec2 available?
|
Replicate training of wav2vec2 available?
|
replicate-training-of-wav2vec2-available
| 1 | 0 | 1 | null |
2024-06-28T00:11:56.235Z
|
2024-06-28T00:11:56.301Z
| true |
2024-08-31T04:50:06.109Z
|
regular
| false | false | null | true | false | false | null | null | null | 189 | 0 | false |
pytorcher
| 9 | false | null | false |
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208,905 |
Seeking a compatible library / package to calculate second derivative using gpu and PyTorch
|
Seeking a compatible library / package to calculate second derivative using gpu and PyTorch
|
seeking-a-compatible-library-package-to-calculate-second-derivative-using-gpu-and-pytorch
| 3 | 1 | 3 | null |
2024-08-30T20:06:00.830Z
|
2024-08-31T04:06:32.622Z
| true |
2024-08-31T04:06:32.622Z
|
regular
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Damika_Anupama
| 6 | false | null | false |
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208,902 |
Parameter matched Transformer is slower than RNN
|
Parameter matched Transformer is slower than RNN
|
parameter-matched-transformer-is-slower-than-rnn
| 1 | 0 | 1 | null |
2024-08-30T19:26:46.466Z
|
2024-08-30T19:26:46.521Z
| true |
2024-08-30T19:26:46.521Z
|
regular
| false | false | null | true | false | false | null | null | null | 120 | 0 | false |
psoulos
| 1 | false | null | false |
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"flair_group_id": null,
"primary_group_id": null,
"user_id": 63018
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] | null | null |
208,597 |
Calculating loss consumes a lot of RAM(cpu)
|
Calculating loss consumes a lot of RAM(cpu)
|
calculating-loss-consumes-a-lot-of-ram-cpu
| 5 | 3 | 5 | null |
2024-08-25T02:09:06.196Z
|
2024-08-30T17:44:34.582Z
| true |
2024-08-30T17:44:34.582Z
|
regular
| false | false | null | true | false | false | null | null | null | 148 | 0 | false |
asz18351
| 7 | false | null | false |
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208,810 |
How can I return a list of tensors in a Pytorch autograd function?
|
How can I return a list of tensors in a Pytorch autograd function?
|
how-can-i-return-a-list-of-tensors-in-a-pytorch-autograd-function
| 2 | 0 | 2 | null |
2024-08-29T06:39:10.295Z
|
2024-08-30T17:27:28.196Z
| true |
2024-08-30T17:27:28.196Z
|
regular
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KFrank
| 1 | false | null | true |
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] | null | null |
208,900 |
PyTorch Conference 2024 - 30% Discount on Registration for our Discuss Community!
|
PyTorch Conference 2024 - 30% Discount on Registration for our Discuss Community!
|
pytorch-conference-2024-30-discount-on-registration-for-our-discuss-community
| 2 | 0 | 2 | null |
2024-08-30T17:20:26.139Z
|
2024-08-30T17:28:41.937Z
| true |
2024-08-30T17:20:26.189Z
|
regular
| false | false | null | true | false | false | null | null | null | 202 | 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 |
28,131 |
What is gain value in nn.init.calculate_gain(nonlinearity, param=None) and how to use these gain number and why?
|
What is gain value in nn.init.calculate_gain(nonlinearity, param=None) and how to use these gain number and why?
|
what-is-gain-value-in-nn-init-calculate-gain-nonlinearity-param-none-and-how-to-use-these-gain-number-and-why
| 13 | 11 | 15 |
2018-10-27T13:14:44.866Z
|
2024-08-30T13:01:06.261Z
| true |
2024-08-30T13:01:06.261Z
|
regular
| false | false | null | true | false | false | null | null | null | 7,605 | 11 | false |
wy18811521307
| 1 | false | null | false |
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"extras": "latest",
"flair_group_id": null,
"primary_group_id": null,
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144,077 |
Prefetch_factor not working
|
Prefetch_factor not working
|
prefetch-factor-not-working
| 10 | 4 | 11 | null |
2022-02-14T00:54:20.614Z
|
2024-08-30T12:37:24.002Z
| true |
2024-08-30T12:37:24.002Z
|
regular
| false | false | null | true | false | false | null | null | null | 3,357 | 5 | false |
ptrblck
| 1 | false | null | false |
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208,591 |
Uncontrolled growth of parameter values leads to NaN loss
|
Uncontrolled growth of parameter values leads to NaN loss
|
uncontrolled-growth-of-parameter-values-leads-to-nan-loss
| 3 | 1 | 3 | null |
2024-08-24T21:50:51.797Z
|
2024-08-30T12:33:17.736Z
| true |
2024-08-30T12:33:17.736Z
|
regular
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"user_id": 68149
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] | null | null |
208,601 |
What's the performance difference between isend/irecv and batch_isend_irecv
|
What’s the performance difference between isend/irecv and batch_isend_irecv
|
whats-the-performance-difference-between-isend-irecv-and-batch-isend-irecv
| 3 | 0 | 3 | null |
2024-08-25T03:36:27.545Z
|
2024-08-30T11:44:51.486Z
| true |
2024-08-30T11:44:51.486Z
|
regular
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Chen_Hongyu
| 12 | false | null | false |
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208,717 |
Understanding dynamic shapes and guards and when it does/does not cause graph breaks
|
Understanding dynamic shapes and guards and when it does/does not cause graph breaks
|
understanding-dynamic-shapes-and-guards-and-when-it-does-does-not-cause-graph-breaks
| 2 | 0 | 2 | null |
2024-08-27T11:05:51.295Z
|
2024-08-28T09:39:55.469Z
| true |
2024-08-30T11:44:12.954Z
|
regular
| false | false | null | true | false | false | null | null | null | 198 | 0 | false |
Abhishek_Ghosh
| 39 | false | null | false |
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208,874 |
Difference between the graph break reasons: `Dynamic control flow is not supported at the moment.` and `generic_jump TensorVariable()`
|
Difference between the graph break reasons: `Dynamic control flow is not supported at the moment.` and `generic_jump TensorVariable()`
|
difference-between-the-graph-break-reasons-dynamic-control-flow-is-not-supported-at-the-moment-and-generic-jump-tensorvariable
| 1 | 0 | 1 | null |
2024-08-30T11:10:43.531Z
|
2024-08-30T11:10:43.595Z
| true |
2024-08-30T11:10:43.595Z
|
regular
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Abhishek_Ghosh
| 41 | false | null | false |
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198,239 |
Tried to allocate 784.00 MiB (GPU 0; 23.99 GiB total capacity; 7.15 GiB already allocated; 13.69 GiB free; 7.99 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation
|
Tried to allocate 784.00 MiB (GPU 0; 23.99 GiB total capacity; 7.15 GiB already allocated; 13.69 GiB free; 7.99 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation
|
tried-to-allocate-784-00-mib-gpu-0-23-99-gib-total-capacity-7-15-gib-already-allocated-13-69-gib-free-7-99-gib-reserved-in-total-by-pytorch-if-reserved-memory-is-allocated-memory-try-setting-max-split-size-mb-to-avoid-fragmentation
| 3 | 1 | 3 | null |
2024-03-05T09:32:25.962Z
|
2024-08-30T09:58:39.656Z
| true |
2024-08-30T09:58:39.656Z
|
regular
| false | false | null | true | false | false | null | null | null | 205 | 0 | false |
Soumya_Kundu
| 1 | false | null | false |
[
{
"description": "Original Poster",
"extras": null,
"flair_group_id": null,
"primary_group_id": null,
"user_id": 34624
},
{
"description": "Most Recent Poster",
"extras": "latest",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 68149
}
] | null | null |
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