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import torch
def pytorch_cudnn_version() -> str:
message = (
f"pytorch.version={torch.__version__}, "
f"cuda.available={torch.cuda.is_available()}, "
)
if torch.backends.cudnn.enabled:
message += (
f"cudnn.version={torch.backends.cudnn.version()}, "
f"cudnn.benchmark={torch.backends.cudnn.benchmark}, "
f"cudnn.deterministic={torch.backends.cudnn.deterministic}"
)
return message
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