How to use 'detach pytorch' - Python

How to use 'detach pytorch' in Python

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catalyst-team/catalyst

326 def detach(tensor: torch.Tensor) -> np.ndarray:
327     """
328     Detaches the input tensor to a numpy array
329     """
330     return tensor.detach().cpu().numpy()

suamin/multilabel-classification-bert-icd10

30 def detach(tensor, dtype=None):
31     if dtype:
32         return tensor.detach().cpu().numpy().astype(dtype)
33     else:
34         return tensor.detach().cpu().numpy()

326	def detach(tensor: torch.Tensor) -> np.ndarray:
327	"""
328	Detaches the input tensor to a numpy array
329	"""
330	return tensor.detach().cpu().numpy()

30	def detach(tensor, dtype=None):
31	if dtype:
32	return tensor.detach().cpu().numpy().astype(dtype)
33	else:
34	return tensor.detach().cpu().numpy()

How to use 'detach pytorch' in Python

All examples are scanned by Snyk Code

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