Can't train using GPU? The torch version for this environment is '1.10.0cpu', that is, CPU one.

[SunilaAkbar]

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Description

Hi,

I will appreciate if someone would suggest me that how to train using GPU, the cuda availability check turns out to be 'False' as the torch version for this environment is '1.10.0cpu', that is, the one using CPU (that's my understanding). Please correct me if I am wrong and direct me to the solution.

Thanks and Regards!

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[dillonmsandhu]

Which Cuda version do you have? Updating pytorch may work for you.

[SunilaAkbar]

Hi Dillon,

Thanks for your feedback. I am using my base environment now and it is using GPU now. But now I have another error as follows:

"RuntimeError: module must have its parameters and buffers on device cuda:0 (device_ids[0]) but found one of them on device: cpu"

To overcome this I did the change "self.selfplay_on_gpu = torch.cuda.is_available()" as suggested in one of the same "Issues". By this, the self plays are now far less than the training steps. So no learning!