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shubhamk16 avatar shubhamk16 commented on August 22, 2024

try to install it from following conda command:

conda install pytorch torchvision cudatoolkit=9.2 -c pytorch -c defaults -c numba/label/dev

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jaydeepb-inexture avatar jaydeepb-inexture commented on August 22, 2024

try to install it from following conda command:

conda install pytorch torchvision cudatoolkit=9.2 -c pytorch -c defaults -c numba/label/dev

i was also facing the above error but using same command mention above it was solved.

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shantanu-kumar242 avatar shantanu-kumar242 commented on August 22, 2024

Thanks a lot. I went through output.log file and got this error even after running "conda install pytorch torchvision cudatoolkit=9.2 -c pytorch -c defaults -c numba/label/dev" command. I am running this model on cpu as my system doesn't have gpu. :
issue1

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jaydeepb-inexture avatar jaydeepb-inexture commented on August 22, 2024

@shantanu-kumar242 are using linux or windows?

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489597448 avatar 489597448 commented on August 22, 2024

remove all boo()

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anshudaur avatar anshudaur commented on August 22, 2024

HI,
I am trying to run the code on colab. But i am not able to because of pytorch 1.0.0 deprecation warning :
Prior to PyTorch 1.1.0, the learning rate scheduler was expected to be called before the optimizer’s update; 1.1.0 changed this behavior in a BC-breaking way. If you use the learning rate scheduler (calling scheduler.step()) before the optimizer’s update (calling optimizer.step()), this will skip the first value of the learning rate schedule. If you are unable to reproduce results after upgrading to PyTorch 1.1.0, please check if you are calling scheduler.step() at the wrong time.

I was able to run the IRNET+bert on colab but not this one. I tried dowgrading the torch version to : 0.4.1 but that also didn't make it work.
Thanks
Anshu

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