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I am facing an issue while trying to generate an image, after a model was successfully trained. The training have done with a docker image provided in the repository. After training, I also get True by testing torch.cuda in the python compiler, so I do not get where the error comes from.
Here is the error traceback:
Behind docker I am using Windows 10, Nvidia GeForce 1050 as GPU, Intel(R) Core(TM) i5-8300H CPU @ 2.30GHz 2.30 GHz as CPU and 8 GB RAM.
Here is the output of the cuda being used on docker:
As well as drivers being used on the PC:
I would appreciate any help, if someone have experienced the same problem!
The text was updated successfully, but these errors were encountered:
Hello everyone!
I am facing an issue while trying to generate an image, after a model was successfully trained. The training have done with a docker image provided in the repository. After training, I also get True by testing torch.cuda in the python compiler, so I do not get where the error comes from.
![cuda_error](https://user-images.githubusercontent.com/100155839/168254684-d1eb938b-d6a9-4aec-a3c3-b9d01896ed51.png)
![nvcc_output](https://user-images.githubusercontent.com/100155839/168256048-2bee721a-65d7-452b-8399-feed2a3f7035.png)
![nvidia_smi_info](https://user-images.githubusercontent.com/100155839/168255473-e77b203f-8bc4-4c27-8344-dc052a3f6bb4.png)
Here is the error traceback:
Behind docker I am using Windows 10, Nvidia GeForce 1050 as GPU, Intel(R) Core(TM) i5-8300H CPU @ 2.30GHz 2.30 GHz as CPU and 8 GB RAM.
Here is the output of the cuda being used on docker:
As well as drivers being used on the PC:
I would appreciate any help, if someone have experienced the same problem!
The text was updated successfully, but these errors were encountered: