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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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