UserWarning: Plan failed with a cudnnException #121834

bhack · 2024-03-13T17:58:05Z

🐛 Describe the bug

Compiling this forward https://github.com/yoxu515/aot-benchmark/blob/paot/networks/engines/aotv3_engine.py#L35-L110

I got this warning.

Error logs

UserWarning: Plan failed with a cudnnException: CUDNN_BACKEND_EXECUTION_PLAN_DESCRIPTOR: cudnnFinalize Descriptor Failed cudnn_status: CUDNN_STATUS_NOT_SUPPORTED (Triggered internally at /opt/conda/conda-bld/pytorch_1710229288018/work/aten/src/ATen/native/cudnn/Conv_v8.cpp:919.)
  return F.conv2d(input, weight, bias, self.stride,

And after few inputs I got:
#121504 (comment)
/cc @ezyang @gchanan @zou3519 @kadeng @csarofeen @ptrblck @xwang233 @msaroufim @bdhirsh @anijain2305 @chauhang @williamwen42

Here in the attachment the generated inductor[
c5nhr6q2xpuk52rh5thx56utuj6tjvxobjgjbd3rsdjvwggjys3d.py.txt
](url)

Minified repro

No response

Versions

Last official pytorch-nightly image.

The text was updated successfully, but these errors were encountered:

bhack · 2024-03-13T18:08:31Z

Lowering the input resolution a bit in another run I don't see #121504 (comment) (as documented in that ticket) and I see these extra messages in the log:

/tmp/torchinductor_root/py/cpylrdfke46tta45o5xnxi77ex3ja2o5vdxsbjbcnp66kgd7vwqd.py:615: UserWarning: Plan failed with a cudnnException: CUDNN_BACKEND_EXECUTION_PLAN_DESCRIPTOR: cudnnFinalize Descriptor Failed cudnn_status: CUDNN_STATUS_NOT_SUPPORTED (Triggered internally at /opt/conda/conda-bld/pytorch_1710229288018/work/aten/src/ATen/native/cudnn/Conv_v8.cpp:919.)
  buf3 = extern_kernels.convolution(buf0, buf1, stride=(1, 1), padding=(1, 1), dilation=(1, 1), transposed=False, output_padding=(0, 0), groups=1, bias=None)
/tmp/torchinductor_root/py/cpylrdfke46tta45o5xnxi77ex3ja2o5vdxsbjbcnp66kgd7vwqd.py:644: UserWarning: Plan failed with a cudnnException: CUDNN_BACKEND_EXECUTION_PLAN_DESCRIPTOR: cudnnFinalize Descriptor Failed cudnn_status: CUDNN_STATUS_NOT_SUPPORTED (Triggered internally at /opt/conda/conda-bld/pytorch_1710229288018/work/aten/src/ATen/native/cudnn/Conv_v8.cpp:919.)
  buf13 = extern_kernels.convolution(buf10, buf11, stride=(1, 1), padding=(1, 1), dilation=(1, 1), transposed=False, output_padding=(0, 0), groups=1, bias=None)
/tmp/torchinductor_root/rd/crdjdt7nq5zpiv2qjswdnkkjyqhawkfoeb5jm6t3lthc3dr3vmbq.py:615: UserWarning: Plan failed with a cudnnException: CUDNN_BACKEND_EXECUTION_PLAN_DESCRIPTOR: cudnnFinalize Descriptor Failed cudnn_status: CUDNN_STATUS_NOT_SUPPORTED (Triggered internally at /opt/conda/conda-bld/pytorch_1710229288018/work/aten/src/ATen/native/cudnn/Conv_v8.cpp:919.)
  buf3 = extern_kernels.convolution(buf0, buf1, stride=(1, 1), padding=(1, 1), dilation=(1, 1), transposed=False, output_padding=(0, 0), groups=1, bias=None)

jansel · 2024-03-23T04:36:11Z

@ezyang do you know who is the right person to look at this. The warning is coming from the eager convolution kernel.

ezyang · 2024-03-24T03:37:03Z

It sounds like something is wrong with our size/stride meta. cc @eellison

eellison · 2024-03-25T16:36:34Z

I think you are linking the wrong inductor code. There is no conv in that output. Can you please include include a full repro ?

bhack · 2024-03-25T21:51:56Z

I have many inductor code .py when I am compiling that forward on a clean env.
What I need to share?

bhack · 2024-03-25T21:57:56Z

If you want instead to reproduce it from the source code @williamwen42 has already some instruction at
#121504 (comment)
As we are already reproducing many compiler issue on the same model/repo.

eellison · 2024-03-26T00:26:17Z

If you run with TORCH_COMPILE_DEBUG=1 and dump the full output that will be sufficient to repro here.

I have many inductor code .py when I am compiling that forward on a clean env. What I need to share?

bhack · 2024-03-26T01:17:31Z

If you run with TORCH_COMPILE_DEBUG=1 and dump the full output that will be sufficient to repro here.

You can find it here:
compile_dump.txt

eellison · 2024-03-26T16:40:09Z

Looking at the dump here - the warning happens prior to dynamo tracing so I'm not sure that it is a fake tensor (or pt2) issue.

/opt/conda/lib/python3.10/site-packages/torch/functional.py:512: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at /opt/conda/conda-bld/pytorch_1710315938922/work/aten/src/ATen/native/TensorShape.cpp:3587.)
  return _VF.meshgrid(tensors, **kwargs)  # type: ignore[attr-defined]
/opt/conda/lib/python3.10/site-packages/torch/nn/modules/conv.py:456: UserWarning: Plan failed with a cudnnException: CUDNN_BACKEND_EXECUTION_PLAN_DESCRIPTOR: cudnnFinalize Descriptor Failed cudnn_status: CUDNN_STATUS_NOT_SUPPORTED (Triggered internally at /opt/conda/conda-bld/pytorch_1710315938922/work/aten/src/ATen/native/cudnn/Conv_v8.cpp:919.)
  return F.conv2d(input, weight, bias, self.stride,
I0326 01:09:10.597000 132385496905536 torch/_dynamo/logging.py:55] [0/0] Step 1: torchdynamo start tracing forward /workspace/./networks/layers/attention.py:310

bhack · 2024-03-26T16:58:16Z

Looking at the dump here - the warning happens prior to dynamo tracing so I'm not sure that it is a fake tensor (or pt2) issue.

But I could confirm that without decorating with @torch.compile that forward we don't have that warning.

bhack · 2024-03-26T17:08:29Z

P.s. I meant without decorating.

nagadomi · 2024-04-24T07:10:56Z

I got this warning after updating to PyTorch 2.3.0 today.
This warning only appears when nn.Conv2d(8, 1, 3) is called with fp16.

reproduction code

import torch
import torch.nn as nn

conv_no_warn = nn.Conv2d(8, 3, kernel_size=3, stride=1, padding=0).eval().cuda()
conv_warn = nn.Conv2d(8, 1, kernel_size=3, stride=1, padding=0).eval().cuda()
x = torch.rand((1, 8, 546, 392)).cuda()

with torch.inference_mode(), torch.autocast(device_type="cuda"):
    # No warning
    conv_no_warn(x)
    # UserWarning: Plan failed with a cudnnException: CUDNN_BACKEND_EXECUTION_PLAN_DESCRIPTOR: cudnnFinalize Descriptor Failed cudnn_status: CUDNN_STATUS_NOT_SUPPORTED
    conv_warn(x)

agunapal · 2024-04-24T19:31:09Z

Seeing this consistently with max-autotune mode of torch.compile in PyTorch 2.3.0

atalman · 2024-04-24T20:10:29Z

This can be seen here:

Testing smoke_test_conv2d with cuda for torch.float16
/opt/conda/envs/conda-env-8819486240_pypi/lib/python3.11/site-packages/torch/nn/modules/conv.py:456: UserWarning: Plan failed with a cudnnException: CUDNN_BACKEND_EXECUTION_PLAN_DESCRIPTOR: cudnnFinalize Descriptor Failed cudnn_status: CUDNN_STATUS_NOT_SUPPORTED (Triggered internally at ../aten/src/ATen/native/cudnn/Conv_v8.cpp:919.)

https://github.com/pytorch/builder/actions/runs/8819486240/job/24210862873#step:11:4098

This was happening in nightly on March 13:
https://github.com/pytorch/builder/actions/runs/8267337962/job/22618718246#step:11:4083

However was fixed on March 14:
https://github.com/pytorch/builder/actions/runs/8283397156/job/22666518941#step:11:4097

nagadomi · 2024-04-24T22:56:37Z

I had used torch 2.3.0+cu118, so I tried cu121 version and the above reproduction code did not produce any warning.
Then I reverted to cu118 version and the warning no longer appears in the above reproduced code.
However, my more complex application still produced warnings,
so I tried running it with python -W error .. command, I found that the module that produced the warning had changed from before.

Edit:
Here is the code that can reproduce that warning with cu118.

import torch
import torch.nn as nn

conv_warn = nn.Conv2d(768, 96, kernel_size=(1, 1), stride=(1, 1)).eval().cuda()
x = torch.rand((1, 768, 39, 28)).cuda()

with torch.inference_mode(), torch.autocast(device_type="cuda"):
    # UserWarning: Plan failed with a cudnnException: CUDNN_BACKEND_EXECUTION_PLAN_DESCRIPTOR: cudnnFinalize Descriptor Failed cudnn_status: CUDNN_STATUS_NOT_SUPPORTED
    conv_warn(x)

In my current environment, this code consistently produces warnings, but the previous code stopped producing warnings after I ran it with cu121. Maybe something is cached?

mvpatel2000 · 2024-04-26T04:22:18Z

Plan failed with a cudnnException: CUDNN_BACKEND_EXECUTION_PLAN_DESCRIPTOR: cudnnFinalize Descriptor Failed cudnn_status: CUDNN_STATUS_NOT_SUPPORTED (Triggered internally at ../aten/src/ATen/native/cudnn/Conv_v8.cpp:919.)

also encountering this in eager mode in our unit tests to upgrade to torch 2.3
mosaicml/composer#3213

johnnynunez · 2024-04-26T11:18:47Z

with pytorch 2.3.0 with ultralytics yolov8 same problem

golemme · 2024-04-26T12:49:29Z

With pytorch 2.3.0 and ultralytics yolov8 I'm getting UserWarning: Plan failed with a cudnnException: CUDNN_BACKEND_EXECUTION_PLAN_DESCRIPTOR: cudnnFinalize Descriptor Failed cudnn_status: CUDNN_STATUS_NOT_SUPPORTED (Triggered internally at ..\aten\src\ATen\native\cudnn\Conv_v8.cpp:919.)
return F.conv2d(input, weight, bias, self.stride,

L1pp · 2024-05-08T09:06:43Z

I've encountered the same issue while using the latest official Docker image "pytorch/pytorch:2.3.0-cuda12.1-cudnn8-runtime". Here is the warning message:

/opt/conda/lib/python3.10/site-packages/torch/autograd/graph.py:744: UserWarning: Plan failed with a cudnnException: CUDNN_BACKEND_EXECUTION_PLAN_DESCRIPTOR: cudnnFinalize Descriptor Failed cudnn_status: CUDNN_STATUS_NOT_SUPPORTED (Triggered internally at /opt/conda/conda-bld/pytorch_1712608935911/work/aten/src/ATen/native/cudnn/Conv_v8.cpp:919.)
return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass

System Info:
Docker Image: pytorch/pytorch:2.3.0-cuda12.1-cudnn8-runtime
GPU: NVIDIA GeForce RTX 3090
Operating System: Ubuntu 22.04.4 LTS

The specific training model is the official resnet18. It is worth noting that this error did not affect the progress of training.
So based on the above content, does this warning not affect the actual effect?
I am just providing feedback that this error message still needs to be resolved in the official version of pytorch 2.3.0.

eqy · 2024-05-08T19:44:48Z

We are looking to get this resolved in 2.3.1, and yes the warning alone should not affect the results of training. It is basically saying that the first selected cuDNN algorithm could not run the workload---in this case the next selected cuDNN algorithm will be tried.

pbagwell-phioptics · 2024-05-10T12:45:33Z

See facebookresearch/detectron2#5284 (comment)

weidehai · 2024-05-13T16:17:58Z

I encountered the same problem
torch 2.3.0 pypi_0 pypi
torchvision 0.18.0 pypi_0 pypi

nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2022 NVIDIA Corporation
Built on Wed_Sep_21_10:33:58_PDT_2022
Cuda compilation tools, release 11.8, V11.8.89
Build cuda_11.8.r11.8/compiler.31833905_0

NVIDIA-SMI 550.67 Driver Version: 550.67 CUDA Version: 12.4

Ubuntu 22.04.1 LTS

UserWarning: Plan failed with a cudnnException: CUDNN_BACKEND_EXECUTION_PLAN_DESCRIPTOR: cudnnFinalize Descriptor Failed cudnn_status: CUDNN_STATUS_NOT_SUPPORTED (Triggered internally at ../aten/src/ATen/native/cudnn/Conv_v8.cpp:919.)

I don't know if it will affect the final execution result of the program

atalman · 2024-05-13T21:00:43Z

Closing this since cherry-picking PR posted: #125790
Pending validation for 2.3.1 rc1

nmahammad · 2024-05-16T21:25:48Z

i had the same issue : '' torch/nn/modules/conv.py:952: UserWarning: Plan failed with a cudnnException: CUDNN_BACKEND_EXECUTION_PLAN_DESCRIPTOR: cudnnFinalize Descriptor Failed cudnn_status: CUDNN_STATUS_NOT_SUPPORTED (Triggered internally at ../aten/src/ATen/native/cudnn/Conv_v8.cpp:919.)
return F.conv_transpose2d(
''

stanleylcao · 2024-05-16T21:36:45Z

I have also just got this error. I don't believe I saw this yesterday? Maybe it resurfaced?

nmahammad · 2024-05-17T09:26:27Z

In my case the torch version is not even 2.3 , it is 2.2.1 and it started to have that issue starting from yesterday, can it be related to an internal problem in my GPU ?

error : ' CUDNN_STATUS_NOT_SUPPORTED (Triggered internally at ../aten/src/ATen/native/cudnn/Conv_v8.cpp:919.)
return F.conv_transpose2d( '

Why is this issue closed ? Since the error is still not solved

nmahammad · 2024-05-17T15:51:11Z

Update : venv/lib/python3.9/site-packages/torch/autograd/graph.py:744: UserWarning: Plan failed with a cudnnException: CUDNN_BACKEND_EXECUTION_PLAN_DESCRIPTOR: cudnnFinalize Descriptor Failed cudnn_status: CUDNN_STATUS_NOT_SUPPORTED (Triggered internally at ../aten/src/ATen/native/cudnn/Conv_v8.cpp:919.)
return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass --- now the error is a bit different

rafa-br34 · 2024-05-19T08:03:38Z

I get this, but it doesn't seem to interfere with training.

/home/rafa/Python3_11_6_VEnv/lib/python3.11/site-packages/torch/nn/modules/conv.py:456: UserWarning: Plan failed with a cudnnException: CUDNN_BACKEND_EXECUTION_PLAN_DESCRIPTOR: cudnnFinalize Descriptor Failed cudnn_status: CUDNN_STATUS_NOT_SUPPORTED (Triggered internally at ../aten/src/ATen/native/cudnn/Conv_v8.cpp:919.)
  return F.conv2d(input, weight, bias, self.stride,
/home/rafa/Python3_11_6_VEnv/lib/python3.11/site-packages/torch/autograd/graph.py:744: UserWarning: Plan failed with a cudnnException: CUDNN_BACKEND_EXECUTION_PLAN_DESCRIPTOR: cudnnFinalize Descriptor Failed cudnn_status: CUDNN_STATUS_NOT_SUPPORTED (Triggered internally at ../aten/src/ATen/native/cudnn/Conv_v8.cpp:919.)
  return Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass
/home/rafa/Python3_11_6_VEnv/lib/python3.11/site-packages/torch/nn/modules/conv.py:952: UserWarning: Plan failed with a cudnnException: CUDNN_BACKEND_EXECUTION_PLAN_DESCRIPTOR: cudnnFinalize Descriptor Failed cudnn_status: CUDNN_STATUS_NOT_SUPPORTED (Triggered internally at ../aten/src/ATen/native/cudnn/Conv_v8.cpp:919.)
  return F.conv_transpose2d(

Driver Version: 550.54.15, CUDA Version: 12.4

HoseinHashemi · 2024-05-22T04:48:11Z

I get the same UserWarning with Pytorch 2.3.0 and CUDA11.8

GKaviani · 2024-05-24T03:58:57Z

I have similar problem (to some extent)

I got the error while using resnet3d that gets sequence of video/frames with batchsize 16 , sequence length 16 on following version of torch and cudnn:

pytorch                   2.3.0           py3.10_cuda12.1_cudnn8.9.2_0    pytorch
pytorch-cuda              12.1                 ha16c6d3_5    pytorch
pytorch-mutex             1.0                        cuda    pytorch
torchaudio                2.3.0               py310_cu121    pytorch
torchmetrics              1.4.0.post0        pyhd8ed1ab_0    conda-forge
torchtriton               2.3.0                     py310    pytorch
torchvision               0.18.0              py310_cu121    pytorch
cuda-cudart               12.1.105                      0    nvidia
cuda-cupti                12.1.105                      0    nvidia
cuda-libraries            12.1.0                        0    nvidia
cuda-nvrtc                12.1.105                      0    nvidia
cuda-nvtx                 12.1.105                      0    nvidia
cuda-opencl               12.4.127                      0    nvidia
cuda-runtime              12.1.0                        0    nvidia
pytorch                   2.3.0           py3.10_cuda12.1_cudnn8.9.2_0    pytorch
pytorch-cuda              12.1                 ha16c6d3_5    pytorch
pytorch-mutex             1.0                        cuda    pytorch

user/anaconda3/envs/DARai/lib/python3.10/site-packages/torch/nn/modules/conv.py:605: UserWarning: Plan failed with a cudnnException: CUDNN_BACKEND_EXECUTION_PLAN_DESCRIPTOR: cudnnFinalize Descriptor Failed cudnn_status: CUDNN_STATUS_NOT_SUPPORTED (Triggered internally at /opt/conda/conda-bld/pytorch_1712608935911/work/aten/src/ATen/native/cudnn/Conv_v8.cpp:919.)
  return F.conv3d(

nmahammad · 2024-05-24T07:57:08Z

The issue was solved when I downgraded torch to 2.2.2

ClancyAyres · 2024-05-27T07:13:32Z

The issue was solved when I downgraded torch to 2.2.2
+1

atalman · 2024-05-31T14:53:34Z

Validated with 2.3.1 rc: https://github.com/pytorch/builder/actions/runs/9288567412/job/25566399559

Yanall-Boutros · 2024-06-04T09:22:01Z

I can confirm this is an issue with 2.3.0.

I have a nix flake.lock pinning torch and torchaudio to 2.3.0+cu121, and a separate pinning them to 2.2.2+cu121
torch230flake.lock.txt
torch_222flake.lock.txt

When I run tortoise/do_tts.py --voice daniel --text test from this repo: https://github.com/Yanall-Boutros/tortoise-tts-poetry2nix/

The error: python3.11-torch-2.3.0/lib/python3.11/site-packages/torch/nn/modules/conv.py:303: UserWarning: Plan failed with a cudnnException: CUDNN_BACKEND_EXECUTION_PLAN_DESCRIPTOR: cudnnFinalize Descriptor Failed cudnn_status: CUDNN_STATUS_NOT_SUPPORTED (Triggered internally at ../aten/src/ATen/native/cudnn/Conv_v8.cpp:919.) is eventually when transforming auto-regressive outputs into audio

HoseinHashemi · 2024-06-05T15:10:41Z

Downgrading to Pytorch 2.2.2 solved the issue.

leng-yue · 2024-06-05T20:17:16Z

Does this cause any performance degrade?

eqy · 2024-06-05T21:10:05Z

Should not cause performance degradation as after the first iteration the failing config will be skipped.
Please note it is fixed in 2.3.1.

HoseinHashemi · 2024-06-06T01:27:43Z

Does this cause any performance degrade?

I have not noticed any performance degradation yet. You only get the warning at the first iteration anyway.

bhack added the oncall: pt2 label Mar 13, 2024

jansel added the module: cudnn Related to torch.backends.cudnn, and CuDNN support label Mar 23, 2024

jansel added the triaged This issue has been looked at a team member, and triaged and prioritized into an appropriate module label Mar 23, 2024

jansel added triage review and removed triaged This issue has been looked at a team member, and triaged and prioritized into an appropriate module labels Mar 24, 2024

eellison added the needs reproduction Someone else needs to try reproducing the issue given the instructions. No action needed from user label Mar 25, 2024

jansel assigned williamwen42 Mar 26, 2024

jansel added triaged This issue has been looked at a team member, and triaged and prioritized into an appropriate module and removed triage review labels Mar 26, 2024

atalman added this to the 2.3.1 milestone Apr 24, 2024

ezyang added the high priority label Apr 26, 2024

pytorch-bot bot added the triage review label Apr 26, 2024

eqy mentioned this issue May 8, 2024

Revert "Include torch warn in each error in cudnn/Conv_v8.cpp (#120719)" #125790

Merged

atalman closed this as completed May 13, 2024

williamwen42 removed their assignment May 13, 2024

CarlosGomes98 mentioned this issue May 17, 2024

Torch 2.3.0 raises UserWarning IBM/terratorch#5

Open

Parskatt mentioned this issue May 21, 2024

UserWarning: Plan failed with a cudnnException: CUDNN_BACKEND_EXECUTION_PLAN_DESCRIPTOR: cudnnFinalize Descriptor Failed cudnn_status: CUDNN_STATUS_NOT_SUPPORTED ultralytics/ultralytics#12606

Open

1 task

JohannesTheo mentioned this issue May 23, 2024

OOM Error with roi_align in PyTorch 2.1.1 but fine in PyTorch 2.0.1 pytorch/vision#8168

Open

iorzt mentioned this issue May 29, 2024

Get error in WSL2 with CUDA 2noise/ChatTTS#51

Open

atalman mentioned this issue May 29, 2024

Release 2.3.1 validations checklist and cherry-picks #127441

Open

29 tasks

Volkopat mentioned this issue Jun 2, 2024

AttributeError: 'NoneType' object has no attribute 'bboxes' VikParuchuri/marker#123

Open

eqy mentioned this issue Jun 3, 2024

UserWarning: Plan failed with a cudnnException: CUDNN_BACKEND_EXECUTION_PLAN_DESCRIPTOR #126605

Closed

UserWarning: Plan failed with a cudnnException #121834

UserWarning: Plan failed with a cudnnException #121834

Comments

bhack commented Mar 13, 2024 • edited by pytorch-bot bot

🐛 Describe the bug

Error logs

Minified repro

Versions

bhack commented Mar 13, 2024 • edited

jansel commented Mar 23, 2024

ezyang commented Mar 24, 2024

eellison commented Mar 25, 2024

bhack commented Mar 25, 2024 • edited

bhack commented Mar 25, 2024

eellison commented Mar 26, 2024

bhack commented Mar 26, 2024

eellison commented Mar 26, 2024 • edited

bhack commented Mar 26, 2024 • edited

bhack commented Mar 26, 2024

nagadomi commented Apr 24, 2024

agunapal commented Apr 24, 2024

atalman commented Apr 24, 2024 • edited

nagadomi commented Apr 24, 2024 • edited

mvpatel2000 commented Apr 26, 2024 • edited

johnnynunez commented Apr 26, 2024

golemme commented Apr 26, 2024

L1pp commented May 8, 2024

eqy commented May 8, 2024

pbagwell-phioptics commented May 10, 2024

weidehai commented May 13, 2024

atalman commented May 13, 2024

nmahammad commented May 16, 2024

stanleylcao commented May 16, 2024

nmahammad commented May 17, 2024 • edited

nmahammad commented May 17, 2024

rafa-br34 commented May 19, 2024 • edited

HoseinHashemi commented May 22, 2024

GKaviani commented May 24, 2024 • edited

nmahammad commented May 24, 2024

ClancyAyres commented May 27, 2024

atalman commented May 31, 2024

Yanall-Boutros commented Jun 4, 2024

HoseinHashemi commented Jun 5, 2024

leng-yue commented Jun 5, 2024

eqy commented Jun 5, 2024

HoseinHashemi commented Jun 6, 2024

bhack commented Mar 13, 2024 •

edited by pytorch-bot bot

bhack commented Mar 13, 2024 •

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bhack commented Mar 25, 2024 •

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bhack commented Mar 26, 2024 •

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