Cudnn Error Cudnn Status Mapping Error How can we troubleshoot this problem Since this occurred 8 hours into the training some educated guess will be very helpful here Thanks Update Commenting out the 2 torch backends cudnn lines did not work CUDNN STATUS INTERNAL ERROR still occurs but much earlier at around Episode 300 585 000 steps
RuntimeError CUDNN STATUS MAPPING ERROR zeng June 27 2017 1 56pm 1 When I use the code like class Classify nn Module def init self opt self convs nn Conv2d 1 opt kernel num k opt word vec size padding 0 for k in opt kernel sizes def forward self x x F relu conv x squeeze 3 for conv in self convs CUDNN STATUS MAPPING ERROR An access to GPU memory space failed which is usually caused by a failure to bind a texture To correct prior to the function call unbind any previously bound textures Otherwise this may indicate an internal error bug in the library CUDNN STATUS EXECUTION FAILED The GPU program failed to execute
Cudnn Error Cudnn Status Mapping Error
Cudnn Error Cudnn Status Mapping Error
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demo cuDnn Error CUDNN STATUS MAPPING ERROR Issue 182 Zju3dv
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CuDNN Error CUDNN STATUS MAPPING ERROR Issue 33134 Pytorch
https://opengraph.githubassets.com/df04c3d3c47527a3908319faf8b24186c2a335872121e011047730ec4f5c7bc8/pytorch/pytorch/issues/33134
The simplest way to fix this issue is by using the right CUDA version 11 1 You can use the pip command below to install CUDA before running your program pip install torch 1 8 0 cu111 torchvision 0 9 0 cu111 torchaudio 0 8 0 f The error is occurring when I am calling forward on a sequence of convolutional operations in my code I have used the same configuration on other GPUs such as K80 P100 V100 and RTX8000 and never had the error Anybody found a solution to this issue Pytorch 1 7 0 support for A100 GPUs aroibu1 Andrei Roibu May 18 2021 3 58pm 2
1 Answer Sorted by 3 Finally I solved the problem Somewhere in my code I use a CrossEntropyLoss function with ignore index parameter as ignore index my ignore index By mistake I had my ignore index 1 which as value it is not a valid value for my data 1 never appears in my data values Updating correctly solved the problem Here s a simple code that reproduces my error import torch import torch nn as nn import numpy as np class Net nn Module def init self super Net self init self base n filter 8 self conv1 nn Conv3d 1 self base n filter 3
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The cuDNN error seems to be misleading and might be triggered by e g this error The stacktrace points to an invalid target index in nn NL LLoss or nn CrossEntropyLoss aten src ATen native cuda NLLLoss2d cu 104 nll loss2d forward kernel block 8 0 0 thread 768 0 0 Assertion t 0 t n classes failed Miaowshroom August 16 2021 11 27am 1 I am getting cuda run time errors depends on the number of gpu used It looks like the problem occurs when I am training customised model which uses pretained Resnet34 as a part on multiple gpus Couldn t really find out what was the problem I have 3 models Model A customised model
Alexjamesnoble March 21 2023 3 07pm 8 Hi Justin Sorry for the delay My guess is that it s an issue with your Topaz installation or environment I suggest sending the specific commandline commands and errors to your local IT who manages this server for you so they can fix it Best E CuDNN v8401 function cudnnConvolutionForward called e Info Traceback contains 6 message s e Error CUDNN STATUS EXECUTION FAILED Reason cstat cudaSuccess e Error CUDNN STATUS EXECUTION FAILED Reason engine execute vars exec stream e
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Cudnn Error Cudnn Status Mapping Error - The simplest way to fix this issue is by using the right CUDA version 11 1 You can use the pip command below to install CUDA before running your program pip install torch 1 8 0 cu111 torchvision 0 9 0 cu111 torchaudio 0 8 0 f