Added support for MPS (Apple metal) GPU #839
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Thanks for submitting this. We're not going to merge the changes at this time. The changes are more involved than expected, and we don't have a way to test this ourselves. However, we'll leave this pull request up so that anyone else wanting to use MPS can see what they would need to tweak to get it working. If we get interest and feedback from more users, we may try to incorporate this in the future. |
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Previously, specifying "device = torch.device('mps')" would raise errors, as code handled any call to a device besides the cpu as a call to cuda. Pytorch also supports mps (metal's GPU API), although there are some limitations and the function calls are different. I coded everything so that where mps and cuda support differ, there are conditionals to catch which device is being used. This way I haven't changed any cuda-related code.