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Initial beta release
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import torch
def count_parameters(model):
return sum(
parameter.numel()
for parameter in model.parameters()
if parameter.requires_grad
)
def get_device():
if torch.cuda.is_available():
return torch.device("cuda")
if hasattr(torch.backends, "mps") and torch.backends.mps.is_available():
return torch.device("mps")
return torch.device("cpu")