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How to set partial gradient to zero
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How to set partial gradient to zero
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Ask for help on this mismatch error
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Ask for help on this mismatch error
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CUDA 11.4 on AGX Xavier
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CUDA 11.4 on AGX Xavier
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PyTorch and Nvidia Xavier NX
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PyTorch and Nvidia Xavier NX
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Detach() for this specific case
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Detach() for this specific case
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Static model outputs when using a saved network
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Empty columns in confusion matrix
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Empty columns in confusion matrix
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`torchrun` and `srun`: `rank 0 != master_addr`
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`torchrun` and `srun`: `rank 0 != master_addr`
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Error loading image [SSL] record layer failure (_ssl.c:2578)
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Error loading image [SSL] record layer failure (_ssl.c:2578)
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What are the (dis) advantages of persistent_workers
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What are the (dis) advantages of persistent_workers
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Why first forward pass is significantly faster than the rest
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Why first forward pass is significantly faster than the rest
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Knowledegraph Embeddings on Custom Dataset with GraphSAGE or (V)GAE
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Knowledegraph Embeddings on Custom Dataset with GraphSAGE or (V)GAE
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211,180 |
Cannot allocate memory for thread-local data: ABORT
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Cannot allocate memory for thread-local data: ABORT
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113,767 |
RuntimeError: Cannot insert a Tensor that requires grad as a constant
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RuntimeError: Cannot insert a Tensor that requires grad as a constant
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79,754 |
Using masking during training
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Using masking during training
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60,193 |
Memory blows up when evaluating model even with ‘with torch.no_grad' and 'model.eval'
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Memory blows up when evaluating model even with ‘with torch.no_grad’ and ‘model.eval’
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memory-blows-up-when-evaluating-model-even-with-with-torch-no-grad-and-model-eval
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126,940 |
_, pred = output.topk(maxk, 1, True, True) RuntimeError: selected index k out of range
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_, pred = output.topk(maxk, 1, True, True) RuntimeError: selected index k out of range
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pred-output-topk-maxk-1-true-true-runtimeerror-selected-index-k-out-of-range
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211,076 |
[libtorch] cannot open source file "torch/torch.h"
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[libtorch] cannot open source file “torch/torch.h”
|
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211,165 |
Fault-tolerance for large scale training
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Fault-tolerance for large scale training
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211,041 |
Different results, and -sometimes- all nans
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Different results, and -sometimes- all nans
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different-results-and-sometimes-all-nans
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211,161 |
[Flex Attention] Slicing block mask into micro-batches?
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[Flex Attention] Slicing block mask into micro-batches?
|
flex-attention-slicing-block-mask-into-micro-batches
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211,160 |
[torch.multiprocessing] BrokenPipeError: [Errno 32] Broken pipe
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[torch.multiprocessing] BrokenPipeError: [Errno 32] Broken pipe
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torch-multiprocessing-brokenpipeerror-errno-32-broken-pipe
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211,147 |
Clarification on torch.cuda.synchronize() and CPU-GPU Synchronization
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Clarification on torch.cuda.synchronize() and CPU-GPU Synchronization
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clarification-on-torch-cuda-synchronize-and-cpu-gpu-synchronization
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211,138 |
Clarity on version suffices
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Clarity on version suffices
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clarity-on-version-suffices
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2024-10-04T12:27:01.436Z
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regular
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211,156 |
Torch.compile can't cope with for loops inside large functions
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Torch.compile can’t cope with for loops inside large functions
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torch-compile-cant-cope-with-for-loops-inside-large-functions
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2024-10-04T12:08:40.372Z
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regular
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Avelina9X
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209,613 |
Compile PyTorch with USE_CPP_CODE_COVERAGE=ON
|
Compile PyTorch with USE_CPP_CODE_COVERAGE=ON
|
compile-pytorch-with-use-cpp-code-coverage-on
| 2 | 0 | 2 | null |
2024-09-15T17:49:49.915Z
|
2024-10-04T11:20:58.479Z
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2024-10-04T11:20:58.479Z
|
regular
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5354339xy
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"extras": "latest single",
"flair_group_id": null,
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"user_id": 70319
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] | null | null |
211,020 |
Thread pool exectuor + PyTorch
|
Thread pool exectuor + PyTorch
|
thread-pool-exectuor-pytorch
| 2 | 0 | 2 | null |
2024-10-01T09:43:41.258Z
|
2024-10-04T08:59:57.880Z
| true |
2024-10-04T09:00:52.990Z
|
regular
| false | false | null | true | false | false | null | null | null | 192 | 0 | false |
AlexP4499
| 1 | false | null | false |
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"flair_group_id": null,
"primary_group_id": null,
"user_id": 77022
}
] | null | null |
211,140 |
Why N-D Parallelism?
|
Why N-D Parallelism?
|
why-n-d-parallelism
| 1 | 0 | 1 | null |
2024-10-04T08:15:34.088Z
|
2024-10-04T08:15:34.145Z
| true |
2024-10-04T08:15:34.145Z
|
regular
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Ravi_Teja2
| 12 | false | null | false |
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"extras": "latest single",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 71628
}
] | null | null |
211,136 |
Inductor backend report error when add 'device='cuda'' attribute
|
Inductor backend report error when add ‘device=‘cuda” attribute
|
inductor-backend-report-error-when-add-device-cuda-attribute
| 3 | 0 | 3 | null |
2024-10-04T06:48:13.094Z
|
2024-10-04T07:26:11.402Z
| true |
2024-10-04T07:26:11.402Z
|
regular
| false | false | null | true | false | false | null | null | null | 461 | 1 | false |
Yong2024
| 41 | false | null | false |
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"extras": "latest single",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 80027
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] | null | null |
211,133 |
Prior art on implementing a "print" op on hardware
|
Prior art on implementing a “print” op on hardware
|
prior-art-on-implementing-a-print-op-on-hardware
| 1 | 0 | 1 | null |
2024-10-04T04:51:32.978Z
|
2024-10-04T04:51:33.036Z
| true |
2024-10-04T04:51:33.036Z
|
regular
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jkshtj
| 1 | false | null | false |
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"extras": "latest single",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 78071
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] | null | null |
211,132 |
PINN-pde_loss-error-in-residual
|
PINN-pde_loss-error-in-residual
|
pinn-pde-loss-error-in-residual
| 1 | 0 | 1 | null |
2024-10-04T03:08:06.054Z
|
2024-10-04T03:08:06.122Z
| true |
2024-10-04T03:08:06.122Z
|
regular
| false | false | null | true | false | false | null | null | null | 116 | 0 | false |
radik_rammohan
| 1 | false | null | false |
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"extras": "latest single",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 78480
}
] | null | null |
211,129 |
RAFT Optical Flow With Greyscale Images
|
RAFT Optical Flow With Greyscale Images
|
raft-optical-flow-with-greyscale-images
| 1 | 0 | 1 |
2024-10-04T00:44:30.199Z
|
2024-10-04T00:44:30.264Z
| true |
2024-10-04T00:44:30.264Z
|
regular
| false | false | null | true | false | false | null | null | null | 191 | 0 | false |
Chance_Lawrence
| 5 | false | null | false |
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"extras": "latest single",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 80025
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] | null | null |
|
211,125 |
RuntimeError:one of the variables needed for gradient computation has been modified by an inplace operation: [torch.cuda.FloatTensor [3, 8, 1, 1]] is at version 2; expected version 1 instead. Hint: the backtrace further above shows the operation that fai
|
RuntimeError:one of the variables needed for gradient computation has been modified by an inplace operation: [torch.cuda.FloatTensor [3, 8, 1, 1]] is at version 2; expected version 1 instead. Hint: the backtrace further above shows the operation that fai
|
runtimeerror-one-of-the-variables-needed-for-gradient-computation-has-been-modified-by-an-inplace-operation-torch-cuda-floattensor-3-8-1-1-is-at-version-2-expected-version-1-instead-hint-the-backtrace-further-above-shows-the-operation-that-fai
| 1 | 0 | 1 | null |
2024-10-03T21:13:05.963Z
|
2024-10-03T21:13:06.022Z
| true |
2024-10-03T21:13:06.022Z
|
regular
| false | false | null | true | false | false | null | null | null | 40 | 0 | false |
Marly_Magdy
| 5 | false | null | false |
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"extras": "latest single",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 80023
}
] | null | null |
211,121 |
Training fails (sometimes) when switching from GPU to CPU
|
Training fails (sometimes) when switching from GPU to CPU
|
training-fails-sometimes-when-switching-from-gpu-to-cpu
| 1 | 0 | 1 |
2024-10-03T21:00:58.769Z
|
2024-10-03T21:00:58.829Z
| true |
2024-10-03T21:00:58.829Z
|
regular
| false | false | null | true | false | false | null | null | null | 157 | 0 | false |
Ada
| 1 | false | null | false |
[
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"extras": "latest single",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 46589
}
] | null | null |
|
211,116 |
Combined binary and multiclass model
|
Combined binary and multiclass model
|
combined-binary-and-multiclass-model
| 1 | 0 | 1 | null |
2024-10-03T18:25:20.151Z
|
2024-10-03T18:25:20.206Z
| true |
2024-10-03T19:49:58.061Z
|
regular
| false | false | null | true | false | false | null | null | null | 68 | 0 | false |
Vince_Faller
| 1 | false | null | false |
[
{
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"extras": "latest single",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 80021
}
] | null | null |
211,080 |
Casting complex linear layers to cfloat or chalf using model.to(torch.float) or model.to(torch.half)
|
Casting complex linear layers to cfloat or chalf using model.to(torch.float) or model.to(torch.half)
|
casting-complex-linear-layers-to-cfloat-or-chalf-using-model-to-torch-float-or-model-to-torch-half
| 2 | 0 | 3 | null |
2024-10-02T20:36:36.856Z
|
2024-10-03T17:40:28.326Z
| true |
2024-10-03T17:40:28.326Z
|
regular
| false | false | null | true | false | false | null | null | null | 54 | 0 | false |
Laurent1
| 1 | false | null | false |
[
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"extras": "latest single",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 39809
}
] | null | null |
211,051 |
DistributedSampler - shuffle and size
|
DistributedSampler - shuffle and size
|
distributedsampler-shuffle-and-size
| 3 | 1 | 3 | null |
2024-10-02T00:20:50.824Z
|
2024-10-03T17:30:19.227Z
| true |
2024-10-03T17:30:19.227Z
|
regular
| false | false | null | true | false | false | null | null | null | 167 | 0 | false |
whatdhack
| 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 |
112,751 |
How to implement gradient accumulation for GAN?
|
How to implement gradient accumulation for GAN?
|
how-to-implement-gradient-accumulation-for-gan
| 5 | 1 | 5 | null |
2021-02-23T17:21:42.219Z
|
2024-10-03T17:04:47.883Z
| true |
2024-10-03T17:04:47.883Z
|
regular
| false | false | null | true | false | false | null | null | null | 2,094 | 1 | false |
pabloruizp
| 1 | false | null | false |
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},
{
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},
{
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"extras": "latest",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 57604
}
] | null | null |
211,110 |
Why is my computation graph giving 0 gradients and how can I debug it?
|
Why is my computation graph giving 0 gradients and how can I debug it?
|
why-is-my-computation-graph-giving-0-gradients-and-how-can-i-debug-it
| 1 | 0 | 1 | null |
2024-10-03T16:18:08.724Z
|
2024-10-03T16:18:08.786Z
| true |
2024-10-03T16:18:08.786Z
|
regular
| false | false | null | true | false | false | null | null | null | 27 | 0 | false |
MartensCedric
| 7 | false | null | false |
[
{
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"extras": "latest single",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 79111
}
] | null | null |
211,107 |
Parameters in triplet mining
|
Parameters in triplet mining
|
parameters-in-triplet-mining
| 1 | 0 | 1 | null |
2024-10-03T15:18:42.456Z
|
2024-10-03T15:18:42.513Z
| true |
2024-10-03T15:18:42.513Z
|
regular
| false | false | null | true | false | false | null | null | null | 56 | 0 | false |
louvere_sam
| 1 | false | null | false |
[
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"extras": "latest single",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 74798
}
] | null | null |
211,071 |
Torch don't see full vram on Ubuntu
|
Torch don’t see full vram on Ubuntu
|
torch-dont-see-full-vram-on-ubuntu
| 2 | 0 | 2 | null |
2024-10-02T17:19:23.692Z
|
2024-10-03T12:21:33.102Z
| true |
2024-10-03T12:21:33.102Z
|
regular
| false | false | null | true | false | false | null | null | null | 40 | 0 | false |
Soumya_Kundu
| 1 | false | null | false |
[
{
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},
{
"description": "Most Recent Poster",
"extras": "latest",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 68149
}
] | null | null |
80,771 |
Computing batch Jacobian efficiently
|
Computing batch Jacobian efficiently
|
computing-batch-jacobian-efficiently
| 13 | 10 | 14 | null |
2020-05-11T23:04:40.737Z
|
2024-10-03T00:18:52.232Z
| true |
2024-10-03T00:18:52.232Z
|
regular
| false | false | null | true | false | false | null | null | null | 7,824 | 21 | false |
Josuelmet
| 1 | false | null | true |
[
{
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"user_id": 31409
},
{
"description": "Frequent Poster, Accepted Answer",
"extras": null,
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},
{
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"extras": null,
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"user_id": 211
},
{
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"user_id": 57845
},
{
"description": "Most Recent Poster",
"extras": "latest",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 80004
}
] | null | null |
195,922 |
Deep Active Inference: Issues with NaN predictions
|
Deep Active Inference: Issues with NaN predictions
|
deep-active-inference-issues-with-nan-predictions
| 2 | 0 | 2 |
2024-01-23T06:34:50.147Z
|
2024-10-02T19:53:20.452Z
| true |
2024-10-02T19:58:22.670Z
|
regular
| false | false | null | true | false | false | null | null | null | 440 | 0 | false |
Jesus_Cevallos
| 6 | false | null | false |
[
{
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"primary_group_id": null,
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},
{
"description": "Most Recent Poster",
"extras": "latest",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 41340
}
] | null | null |
|
211,073 |
Saving a model compiled with Torch-TensorRT with dynamic inputs
|
Saving a model compiled with Torch-TensorRT with dynamic inputs
|
saving-a-model-compiled-with-torch-tensorrt-with-dynamic-inputs
| 1 | 0 | 1 | null |
2024-10-02T17:27:47.888Z
|
2024-10-02T17:27:47.974Z
| true |
2024-10-02T17:31:20.806Z
|
regular
| false | false | null | true | false | false | null | null | null | 49 | 0 | false |
Rishi_C
| 39 | false | null | false |
[
{
"description": "Original Poster, Most Recent Poster",
"extras": "latest single",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 80000
}
] | null | null |
211,066 |
Where can I find pytorch tests suites results?
|
Where can I find pytorch tests suites results?
|
where-can-i-find-pytorch-tests-suites-results
| 1 | 0 | 1 | null |
2024-10-02T15:55:09.556Z
|
2024-10-02T15:55:09.620Z
| true |
2024-10-02T17:09:26.493Z
|
regular
| false | false | null | true | false | false | null | null | null | 41 | 0 | false |
ccoulombe
| 1 | false | null | false |
[
{
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"extras": "latest single",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 15310
}
] | null | null |
211,056 |
Is there a way to precompute the size of the computation graph a model will need?
|
Is there a way to precompute the size of the computation graph a model will need?
|
is-there-a-way-to-precompute-the-size-of-the-computation-graph-a-model-will-need
| 2 | 0 | 2 | null |
2024-10-02T09:02:50.644Z
|
2024-10-02T16:55:09.562Z
| true |
2024-10-02T16:55:09.562Z
|
regular
| false | false | null | true | false | false | null | null | null | 54 | 0 | false |
ptrblck
| 5 | false | null | false |
[
{
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"primary_group_id": null,
"user_id": 74879
},
{
"description": "Most Recent Poster",
"extras": "latest",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 3534
}
] | null | null |
211,055 |
The model still updates the weight of the freezing layers in training
|
The model still updates the weight of the freezing layers in training
|
the-model-still-updates-the-weight-of-the-freezing-layers-in-training
| 2 | 0 | 2 | null |
2024-10-02T08:32:20.044Z
|
2024-10-02T12:14:53.732Z
| true |
2024-10-02T12:14:53.732Z
|
regular
| false | false | null | true | false | false | null | null | null | 39 | 0 | false |
ptrblck
| 1 | false | null | false |
[
{
"description": "Original Poster",
"extras": null,
"flair_group_id": null,
"primary_group_id": null,
"user_id": 68774
},
{
"description": "Most Recent Poster",
"extras": "latest",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 3534
}
] | null | null |
98,445 |
Torchaudio: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu!
|
Torchaudio: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu!
|
torchaudio-expected-all-tensors-to-be-on-the-same-device-but-found-at-least-two-devices-cuda-0-and-cpu
| 4 | 3 | 5 | null |
2020-10-06T14:34:57.000Z
|
2024-10-02T12:03:57.834Z
| true |
2024-10-02T12:03:57.834Z
|
regular
| false | false | null | true | false | false | null | null | null | 3,318 | 1 | false |
Itamar_Katz
| 9 | false | null | false |
[
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"primary_group_id": null,
"user_id": 29915
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{
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},
{
"description": "Most Recent Poster",
"extras": "latest",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 70653
}
] | null | null |
211,058 |
Compute batched L2-distance between 2 vectors - torch.cdist()
|
Compute batched L2-distance between 2 vectors - torch.cdist()
|
compute-batched-l2-distance-between-2-vectors-torch-cdist
| 1 | 0 | 1 | null |
2024-10-02T11:19:33.825Z
|
2024-10-02T11:19:33.882Z
| true |
2024-10-02T11:19:33.882Z
|
regular
| false | false | null | true | false | false | null | null | null | 125 | 0 | false |
grid_world
| 1 | false | null | false |
[
{
"description": "Original Poster, Most Recent Poster",
"extras": "latest single",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 40848
}
] | null | null |
202,509 |
Creating custom MARL env in torchrl
|
Creating custom MARL env in torchrl
|
creating-custom-marl-env-in-torchrl
| 4 | 1 | 4 | null |
2024-05-10T18:28:37.534Z
|
2024-10-02T08:10:59.204Z
| true |
2024-10-02T08:10:59.204Z
|
regular
| false | false | null | true | false | false | null | null | null | 1,366 | 0 | false |
monopolize_all
| 6 | false | null | false |
[
{
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"primary_group_id": null,
"user_id": 75711
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{
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"user_id": 33609
},
{
"description": "Most Recent Poster",
"extras": "latest",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 79994
}
] | null | null |
179,106 |
Event handler for CUDA OOM?
|
Event handler for CUDA OOM?
|
event-handler-for-cuda-oom
| 6 | 3 | 6 | null |
2023-05-04T04:40:00.741Z
|
2024-10-01T22:59:42.134Z
| true |
2024-10-01T22:59:42.134Z
|
regular
| false | false | null | true | false | false | null | null | null | 556 | 1 | false |
ngimel
| 1 | false | null | false |
[
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{
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"extras": null,
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"primary_group_id": null,
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},
{
"description": "Most Recent Poster",
"extras": "latest",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 189
}
] | null | null |
211,049 |
Iterative relation with a network at previous epochs
|
Iterative relation with a network at previous epochs
|
iterative-relation-with-a-network-at-previous-epochs
| 1 | 0 | 1 | null |
2024-10-01T21:39:19.153Z
|
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IterableDataset support in Opacus
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IterableDataset support in Opacus
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207,656 |
Inference for detection on huge images
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Inference for detection on huge images
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Re-directing Questions to Github Issues
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Re-directing Questions to Github Issues
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211,043 |
Filtering the labels of mobilenetV3
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Filtering the labels of mobilenetV3
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211,033 |
CUDA 12.4 for PyTorch build 1.9
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CUDA 12.4 for PyTorch build 1.9
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209,774 |
Torch Profiler: GPU substantially slower than CPU
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Torch Profiler: GPU substantially slower than CPU
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211,038 |
Any way to perform forward pass by utilizing the DAG created?
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Any way to perform forward pass by utilizing the DAG created?
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209,369 |
Using pytorch with cuda
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Using pytorch with cuda
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Parallel k-fold cross validation on one GPU
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Parallel k-fold cross validation on one GPU
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203,031 |
Difference between using a sampler and a batch sampler
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Difference between using a sampler and a batch sampler
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211,009 |
Fluctuating inference time using LibTorch
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Fluctuating inference time using LibTorch
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211,007 |
The forward function of a multi-layer Elman RNN from tutorial has two errors
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The forward function of a multi-layer Elman RNN from tutorial has two errors
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the-forward-function-of-a-multi-layer-elman-rnn-from-tutorial-has-two-errors
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211,002 |
[FSDP] LoRA tensors seem to vanish into oblivion when using FullyShardedDataParallel and peft
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[FSDP] LoRA tensors seem to vanish into oblivion when using FullyShardedDataParallel and peft
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fsdp-lora-tensors-seem-to-vanish-into-oblivion-when-using-fullyshardeddataparallel-and-peft
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180,515 |
Torchrun command specifies the GPU
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Torchrun command specifies the GPU
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torchrun-command-specifies-the-gpu
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2023-05-23T08:43:34.994Z
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210,951 |
Calling torch.compile inside the training loop
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Calling torch.compile inside the training loop
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calling-torch-compile-inside-the-training-loop
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2024-09-29T18:19:49.521Z
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2024-09-30T21:49:08.379Z
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203,285 |
Conda pytorch-cuda=12 for arm64 and Grace Hopper
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Conda pytorch-cuda=12 for arm64 and Grace Hopper
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conda-pytorch-cuda-12-for-arm64-and-grace-hopper
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210,952 |
I need help with my WGAN network
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I need help with my WGAN network
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210,985 |
In-place operations in gradient computation in nested PyTorch loops
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In-place operations in gradient computation in nested PyTorch loops
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in-place-operations-in-gradient-computation-in-nested-pytorch-loops
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2024-09-30T13:33:46.498Z
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210,960 |
Torch.autograd.grad is returning `None` when calculating derivative wrt time
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Torch.autograd.grad is returning `None` when calculating derivative wrt time
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torch-autograd-grad-is-returning-none-when-calculating-derivative-wrt-time
| 2 | 0 | 2 | null |
2024-09-29T23:33:00.919Z
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2024-09-30T20:19:24.491Z
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210,944 |
Share parameter between two modules in a nn.Sequential
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Share parameter between two modules in a nn.Sequential
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share-parameter-between-two-modules-in-a-nn-sequential
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2024-09-29T11:00:53.737Z
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2024-09-30T20:15:34.067Z
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25,927 |
DataLoader and Postgres (or other SQL) an option?
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DataLoader and Postgres (or other SQL) an option?
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dataloader-and-postgres-or-other-sql-an-option
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2018-09-25T17:50:26.360Z
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209,941 |
Global structure pruning in pytorch
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Global structure pruning in pytorch
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global-structure-pruning-in-pytorch
| 6 | 3 | 6 | null |
2024-09-23T07:20:47.878Z
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2024-09-30T15:26:58.740Z
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2024-09-30T15:26:58.740Z
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210,154 |
`CUDNN_BACKEND_OPERATION: cudnnFinalize Failed cudnn_status: CUDNN_STATUS_BAD_PARAM`
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`CUDNN_BACKEND_OPERATION: cudnnFinalize Failed cudnn_status: CUDNN_STATUS_BAD_PARAM`
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cudnn-backend-operation-cudnnfinalize-failed-cudnn-status-cudnn-status-bad-param
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210,178 |
Can't get Transformer to exceed LSTM - Help!
|
Can’t get Transformer to exceed LSTM - Help!
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cant-get-transformer-to-exceed-lstm-help
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2024-09-27T12:16:21.821Z
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2024-09-30T15:22:02.138Z
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210,099 |
Qwen2-VL on multiple gpus HuggingFace
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Qwen2-VL on multiple gpus HuggingFace
|
qwen2-vl-on-multiple-gpus-huggingface
| 2 | 0 | 2 | null |
2024-09-26T07:09:09.676Z
|
2024-09-30T14:38:20.742Z
| true |
2024-09-30T14:38:20.742Z
|
regular
| false | false | null | true | false | false | null | null | null | 329 | 0 | false |
ptrblck
| 5 | false | null | false |
[
{
"description": "Original Poster",
"extras": null,
"flair_group_id": null,
"primary_group_id": null,
"user_id": 68592
},
{
"description": "Most Recent Poster",
"extras": "latest",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 3534
}
] | null | null |
210,119 |
Dataloader to load batches alternatively from multiple datasets
|
Dataloader to load batches alternatively from multiple datasets
|
dataloader-to-load-batches-alternatively-from-multiple-datasets
| 2 | 0 | 2 | null |
2024-09-26T10:49:17.321Z
|
2024-09-30T14:36:53.506Z
| true |
2024-09-30T14:36:53.506Z
|
regular
| false | false | null | true | false | false | null | null | null | 131 | 0 | false |
ptrblck
| 1 | false | null | false |
[
{
"description": "Original Poster",
"extras": null,
"flair_group_id": null,
"primary_group_id": null,
"user_id": 79182
},
{
"description": "Most Recent Poster",
"extras": "latest",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 3534
}
] | null | null |
210,976 |
RuntimeError: CUDA error: CUBLAS_STATUS_EXECUTION_FAILED when calling `cublasGemmEx( handle, opa, opb, m, n, k, &falpha, a, CUDA_R_16F, lda, b, CUDA_R_16F, ldb, &fbeta, c, CUDA_R_16F, ldc, CUDA_R_32F, CUBLAS_GEMM_DEFAULT_TENSOR_OP)`
|
RuntimeError: CUDA error: CUBLAS_STATUS_EXECUTION_FAILED when calling `cublasGemmEx( handle, opa, opb, m, n, k, &falpha, a, CUDA_R_16F, lda, b, CUDA_R_16F, ldb, &fbeta, c, CUDA_R_16F, ldc, CUDA_R_32F, CUBLAS_GEMM_DEFAULT_TENSOR_OP)`
|
runtimeerror-cuda-error-cublas-status-execution-failed-when-calling-cublasgemmex-handle-opa-opb-m-n-k-falpha-a-cuda-r-16f-lda-b-cuda-r-16f-ldb-fbeta-c-cuda-r-16f-ldc-cuda-r-32f-cublas-gemm-default-tensor-op
| 2 | 0 | 2 | null |
2024-09-30T11:01:57.341Z
|
2024-09-30T13:59:08.070Z
| true |
2024-09-30T13:59:08.070Z
|
regular
| false | false | null | true | false | false | null | null | null | 93 | 0 | false |
shadowshadow
| 11 | false | null | true |
[
{
"description": "Original Poster, Most Recent Poster, Accepted Answer",
"extras": "latest single",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 72471
}
] | null | null |
210,983 |
Evaluation mode behavior for training-specific parameters for pytorch model
|
Evaluation mode behavior for training-specific parameters for pytorch model
|
evaluation-mode-behavior-for-training-specific-parameters-for-pytorch-model
| 1 | 0 | 1 | null |
2024-09-30T13:33:37.540Z
|
2024-09-30T13:33:37.580Z
| true |
2024-09-30T13:33:37.580Z
|
regular
| false | false | null | true | false | false | null | null | null | 28 | 0 | false |
Hanumanth04
| 14 | false | null | false |
[
{
"description": "Original Poster, Most Recent Poster",
"extras": "latest single",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 79957
}
] | null | null |
209,706 |
RuntimeError: CUDA error: unspecified launch failure // Neural Amp Modeler
|
RuntimeError: CUDA error: unspecified launch failure // Neural Amp Modeler
|
runtimeerror-cuda-error-unspecified-launch-failure-neural-amp-modeler
| 9 | 5 | 9 | null |
2024-09-17T18:00:21.991Z
|
2024-09-30T12:51:51.588Z
| true |
2024-09-30T12:51:51.588Z
|
regular
| false | false | null | true | false | false | null | null | null | 414 | 0 | false |
giacomopas
| 1 | false | null | true |
[
{
"description": "Original Poster, Most Recent Poster, Accepted Answer",
"extras": "latest",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 78972
},
{
"description": "Frequent Poster",
"extras": null,
"flair_group_id": null,
"primary_group_id": null,
"user_id": 3534
}
] | null | null |
210,977 |
How to compute batched vector jacobian product?
|
How to compute batched vector jacobian product?
|
how-to-compute-batched-vector-jacobian-product
| 1 | 0 | 1 | null |
2024-09-30T11:44:47.270Z
|
2024-09-30T11:44:47.336Z
| true |
2024-09-30T12:02:07.613Z
|
regular
| false | false | null | true | false | false | null | null | null | 76 | 0 | false |
ChenyangWu
| 7 | false | null | false |
[
{
"description": "Original Poster, Most Recent Poster",
"extras": "latest single",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 78919
}
] | null | null |
57,667 |
Getting NaNs only on GPU training
|
Getting NaNs only on GPU training
|
getting-nans-only-on-gpu-training
| 9 | 4 | 9 | null |
2019-10-08T04:13:54.075Z
|
2024-09-30T06:24:01.664Z
| true |
2024-09-30T06:24:01.664Z
|
regular
| false | false | null | true | false | false | null | null | null | 3,599 | 3 | false |
nimaaminz
| 7 | false | null | false |
[
{
"description": "Original Poster",
"extras": null,
"flair_group_id": null,
"primary_group_id": null,
"user_id": 23154
},
{
"description": "Frequent Poster",
"extras": null,
"flair_group_id": null,
"primary_group_id": null,
"user_id": 3534
},
{
"description": "Most Recent Poster",
"extras": "latest",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 79372
}
] | null | null |
210,948 |
Proper way to make siamese clip not loosing information from text and image encoders
|
Proper way to make siamese clip not loosing information from text and image encoders
|
proper-way-to-make-siamese-clip-not-loosing-information-from-text-and-image-encoders
| 1 | 0 | 1 | null |
2024-09-29T16:26:49.221Z
|
2024-09-29T16:26:49.286Z
| true |
2024-09-29T16:26:49.286Z
|
regular
| false | false | null | true | false | false | null | null | null | 13 | 0 | false |
breadfan
| 1 | false | null | false |
[
{
"description": "Original Poster, Most Recent Poster",
"extras": "latest single",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 79651
}
] | null | null |
210,162 |
Which at_dispatch can work for bfloat16?
|
Which at_dispatch can work for bfloat16?
|
which-at-dispatch-can-work-for-bfloat16
| 3 | 1 | 3 | null |
2024-09-27T07:08:05.793Z
|
2024-09-29T11:58:26.397Z
| true |
2024-09-29T11:58:26.397Z
|
regular
| false | false | null | true | false | false | null | null | null | 219 | 2 | false |
coincheung
| 11 | false | null | false |
[
{
"description": "Original Poster, Most Recent Poster",
"extras": "latest",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 10130
},
{
"description": "Frequent Poster",
"extras": null,
"flair_group_id": null,
"primary_group_id": null,
"user_id": 3534
}
] | null | null |
210,010 |
LSTM model performance depends on batch size even in eval mode()
|
LSTM model performance depends on batch size even in eval mode()
|
lstm-model-performance-depends-on-batch-size-even-in-eval-mode
| 8 | 4 | 8 |
2024-09-24T16:43:27.783Z
|
2024-09-29T10:28:02.372Z
| true |
2024-09-29T10:28:02.372Z
|
regular
| false | false | null | true | false | false | null | null | null | 103 | 0 | false |
vdw
| 1 | false | null | false |
[
{
"description": "Original Poster",
"extras": null,
"flair_group_id": null,
"primary_group_id": null,
"user_id": 77045
},
{
"description": "Frequent Poster",
"extras": null,
"flair_group_id": null,
"primary_group_id": null,
"user_id": 79176
},
{
"description": "Most Recent Poster",
"extras": "latest",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 1438
}
] | null | null |
|
210,939 |
Is there an alternative faster method to deal with for loops
|
Is there an alternative faster method to deal with for loops
|
is-there-an-alternative-faster-method-to-deal-with-for-loops
| 1 | 0 | 1 | null |
2024-09-29T08:48:27.291Z
|
2024-09-29T08:48:27.343Z
| true |
2024-09-29T08:48:27.343Z
|
regular
| false | false | null | true | false | false | null | null | null | 25 | 0 | false |
kamat_mayur
| 1 | false | null | false |
[
{
"description": "Original Poster, Most Recent Poster",
"extras": "latest single",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 77813
}
] | null | null |
210,936 |
Half type dependency problem
|
Half type dependency problem
|
half-type-dependency-problem
| 1 | 0 | 1 |
2024-09-29T05:00:47.690Z
|
2024-09-29T05:00:47.746Z
| true |
2024-09-29T05:00:47.746Z
|
regular
| false | false | null | true | false | false | null | null | null | 108 | 0 | false |
coincheung
| 11 | false | null | false |
[
{
"description": "Original Poster, Most Recent Poster",
"extras": "latest single",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 10130
}
] | null | null |
|
210,871 |
Hi everyone, I'm new in nlp, I'm trying to build a machine translation model using BERT and I'm having trouble training the model, my predicted tokens all return the id of the token <eos> ( 3) in the first epoch. How do I handle this. Note: I used label s
|
Hi everyone, I’m new in nlp, I’m trying to build a machine translation model using BERT and I’m having trouble training the model, my predicted tokens all return the id of the token <eos> ( 3) in the first epoch. How do I handle this. Note: I used label s
|
hi-everyone-im-new-in-nlp-im-trying-to-build-a-machine-translation-model-using-bert-and-im-having-trouble-training-the-model-my-predicted-tokens-all-return-the-id-of-the-token-eos-3-in-the-first-epoch-how-do-i-handle-this-note-i-used-label-s
| 1 | 0 | 1 | null |
2024-09-29T03:44:14.234Z
|
2024-09-29T03:44:14.316Z
| true |
2024-09-29T03:44:14.316Z
|
regular
| false | false | null | true | false | false | null | null | null | 18 | 0 | false |
H_o_Phan
| 8 | false | null | false |
[
{
"description": "Original Poster, Most Recent Poster",
"extras": "latest single",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 79870
}
] | null | null |
210,771 |
RuntimeError: Output 0 of TBackward0 is a view and its base or another view of its base has been modified inplace. This view is the output of a function that returns multiple views. Such functions do not allow the output views to be modified inplace. You
|
RuntimeError: Output 0 of TBackward0 is a view and its base or another view of its base has been modified inplace. This view is the output of a function that returns multiple views. Such functions do not allow the output views to be modified inplace. You
|
runtimeerror-output-0-of-tbackward0-is-a-view-and-its-base-or-another-view-of-its-base-has-been-modified-inplace-this-view-is-the-output-of-a-function-that-returns-multiple-views-such-functions-do-not-allow-the-output-views-to-be-modified-inplace-you
| 3 | 1 | 3 | null |
2024-09-28T23:03:08.632Z
|
2024-09-28T23:48:46.680Z
| true |
2024-09-28T23:52:07.656Z
|
regular
| false | false | null | true | false | false | null | null | null | 82 | 0 | false |
Mayuresh
| 5 | false | null | false |
[
{
"description": "Original Poster, Most Recent Poster",
"extras": "latest single",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 79205
}
] | null | null |
210,198 |
Installing torch using pixi with CUDA version specified
|
Installing torch using pixi with CUDA version specified
|
installing-torch-using-pixi-with-cuda-version-specified
| 2 | 0 | 2 | null |
2024-09-28T00:20:48.625Z
|
2024-09-28T22:56:31.984Z
| true |
2024-09-28T22:56:31.984Z
|
regular
| false | false | null | true | false | false | null | null | null | 1,281 | 1 | false |
cara
| 1 | false | null | false |
[
{
"description": "Original Poster, Most Recent Poster",
"extras": "latest single",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 79218
}
] | null | null |
210,637 |
Python kernel crashes with GPU
|
Python kernel crashes with GPU
|
python-kernel-crashes-with-gpu
| 2 | 0 | 2 | null |
2024-09-28T15:19:24.502Z
|
2024-09-28T19:22:35.550Z
| true |
2024-09-28T19:22:35.550Z
|
regular
| false | false | null | true | false | false | null | null | null | 168 | 0 | false |
ptrblck
| 1 | false | null | false |
[
{
"description": "Original Poster",
"extras": null,
"flair_group_id": null,
"primary_group_id": null,
"user_id": 79646
},
{
"description": "Most Recent Poster",
"extras": "latest",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 3534
}
] | null | null |
210,120 |
Speeding up data transfer between CPU and GPU
|
Speeding up data transfer between CPU and GPU
|
speeding-up-data-transfer-between-cpu-and-gpu
| 3 | 1 | 3 | null |
2024-09-26T11:05:08.186Z
|
2024-09-28T18:12:40.767Z
| true |
2024-09-28T18:12:40.767Z
|
regular
| false | false | null | true | false | false | null | null | null | 587 | 0 | false |
craig.matadeen
| 1 | false | null | false |
[
{
"description": "Original Poster, Most Recent Poster",
"extras": "latest",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 79179
},
{
"description": "Frequent Poster",
"extras": null,
"flair_group_id": null,
"primary_group_id": null,
"user_id": 3534
}
] | null | null |
84,321 |
Faster RCNN extremely slow training
|
Faster RCNN extremely slow training
|
faster-rcnn-extremely-slow-training
| 11 | 6 | 11 | null |
2020-06-05T16:57:37.960Z
|
2023-06-17T05:07:21.183Z
| true |
2024-09-28T16:37:34.052Z
|
regular
| false | false | null | true | false | false | null | null | null | 4,071 | 0 | false |
jothish_S
| 5 | false | null | true |
[
{
"description": "Original Poster, Accepted Answer",
"extras": null,
"flair_group_id": null,
"primary_group_id": null,
"user_id": 32609
},
{
"description": "Frequent Poster",
"extras": null,
"flair_group_id": null,
"primary_group_id": null,
"user_id": 3534
},
{
"description": "Frequent Poster",
"extras": null,
"flair_group_id": null,
"primary_group_id": null,
"user_id": 53767
},
{
"description": "Most Recent Poster",
"extras": "latest",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 67081
}
] | null | null |
210,642 |
Cannot transfer model to gpu succesfully
|
Cannot transfer model to gpu succesfully
|
cannot-transfer-model-to-gpu-succesfully
| 1 | 0 | 1 | null |
2024-09-28T16:16:56.635Z
|
2024-09-28T16:16:56.709Z
| true |
2024-09-28T16:16:56.709Z
|
regular
| false | false | null | true | false | false | null | null | null | 94 | 0 | false |
liampour
| 1 | false | null | false |
[
{
"description": "Original Poster, Most Recent Poster",
"extras": "latest single",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 72809
}
] | null | null |
210,196 |
Large performance difference when using torchvision EMNIST dataset vs custom dataset
|
Large performance difference when using torchvision EMNIST dataset vs custom dataset
|
large-performance-difference-when-using-torchvision-emnist-dataset-vs-custom-dataset
| 3 | 0 | 3 |
2024-09-27T22:07:48.609Z
|
2024-09-28T15:33:09.996Z
| true |
2024-09-28T15:33:09.996Z
|
regular
| false | false | null | true | false | false | null | null | null | 61 | 0 | false |
Danibahnani
| 37 | false | null | false |
[
{
"description": "Original Poster, Most Recent Poster",
"extras": "latest",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 74890
},
{
"description": "Frequent Poster",
"extras": null,
"flair_group_id": null,
"primary_group_id": null,
"user_id": 3534
}
] | null | null |
|
204,541 |
Is "torch_tensorrt" an invalid backend?
|
Is “torch_tensorrt” an invalid backend?
|
is-torch-tensorrt-an-invalid-backend
| 7 | 6 | 8 | null |
2024-06-12T23:36:43.886Z
|
2024-09-28T15:05:39.252Z
| true |
2024-09-28T15:05:39.252Z
|
regular
| false | false | null | true | false | false | null | null | null | 863 | 1 | false |
ptrblck
| 41 | false | null | true |
[
{
"description": "Original Poster, Accepted Answer",
"extras": null,
"flair_group_id": null,
"primary_group_id": null,
"user_id": 57305
},
{
"description": "Frequent Poster",
"extras": null,
"flair_group_id": null,
"primary_group_id": null,
"user_id": 10130
},
{
"description": "Most Recent Poster",
"extras": "latest",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 3534
}
] | null | null |
210,361 |
Incorporating explanations in loss function
|
Incorporating explanations in loss function
|
incorporating-explanations-in-loss-function
| 1 | 0 | 1 | null |
2024-09-28T09:12:01.945Z
|
2024-09-28T09:12:02.013Z
| true |
2024-09-28T15:02:31.608Z
|
regular
| false | false | null | true | false | false | null | null | null | 70 | 1 | false |
vggls
| 5 | false | null | false |
[
{
"description": "Original Poster, Most Recent Poster",
"extras": "latest single",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 62041
}
] | null | null |
88,163 |
Update self defined parameters when using distributed data parallel
|
Update self defined parameters when using distributed data parallel
|
update-self-defined-parameters-when-using-distributed-data-parallel
| 5 | 2 | 5 | null |
2020-07-07T00:12:27.983Z
|
2024-09-28T11:57:33.948Z
| true |
2024-09-28T11:57:33.948Z
|
regular
| false | false | null | true | false | false | null | null | null | 1,570 | 2 | false |
guoxiayu0206
| 12 | false | null | false |
[
{
"description": "Original Poster",
"extras": null,
"flair_group_id": null,
"primary_group_id": null,
"user_id": 3313
},
{
"description": "Frequent Poster",
"extras": null,
"flair_group_id": null,
"primary_group_id": null,
"user_id": 17068
},
{
"description": "Frequent Poster",
"extras": null,
"flair_group_id": null,
"primary_group_id": null,
"user_id": 50508
},
{
"description": "Most Recent Poster",
"extras": "latest",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 79570
}
] | null | null |
210,180 |
Expected Tensor as element 0 in argument 0, but got JpegImageFile
|
Expected Tensor as element 0 in argument 0, but got JpegImageFile
|
expected-tensor-as-element-0-in-argument-0-but-got-jpegimagefile
| 3 | 0 | 3 | null |
2024-09-27T12:53:55.425Z
|
2024-09-28T10:22:42.089Z
| true |
2024-09-28T10:22:42.089Z
|
regular
| false | false | null | true | false | false | null | null | null | 209 | 0 | false |
liampour
| 37 | false | null | true |
[
{
"description": "Original Poster, Most Recent Poster",
"extras": "latest",
"flair_group_id": null,
"primary_group_id": null,
"user_id": 72809
},
{
"description": "Frequent Poster, Accepted Answer",
"extras": null,
"flair_group_id": null,
"primary_group_id": null,
"user_id": 3534
}
] | null | null |
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