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Allow to train even when no GPU available #8

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Allow to train even when no GPU available #8

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4 changes: 3 additions & 1 deletion src/python/piper_train/__main__.py
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Expand Up @@ -125,11 +125,13 @@ def main():
else:
torch.manual_seed(args.seed)
_LOGGER.debug("Using manual seed: %s", args.seed)

# Function to check if the GPU supports Tensor Cores
def supports_tensor_cores():
# Assuming that Tensor Cores are supported if the compute capability is 7.0 or higher
# This is a simplification; you might need a more detailed check based on your specific requirements
if args.accelerator == "cpu":
return False
return torch.cuda.get_device_capability(0)[0] >= 7

# Set the float32 matrix multiplication precision based on GPU support for Tensor Cores
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