How to use 'pytorch change tensor type' - Python

How to use 'pytorch change tensor type' in Python

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scikit-hep/pyhf

99 def astensor(self, tensor_in, dtype='float'):
100     """
101     Convert to a PyTorch Tensor.
102 
103     Args:
104         tensor_in (Number or Tensor): Tensor object
105 
106     Returns:
107         torch.Tensor: A multi-dimensional matrix containing elements of a single data type.
108     """
109     try:
110         dtype = self.dtypemap[dtype]
111     except KeyError:
112         log.error('Invalid dtype: dtype must be float, int, or bool.')
113         raise
114 
115     tensor = torch.as_tensor(tensor_in, dtype=dtype)
116     # Ensure non-empty tensor shape for consistency
117     try:
118         tensor.shape[0]
119     except IndexError:
120         tensor = tensor.expand(1)
121     return tensor

astorfi/sequence-to-sequence-from-scratch

67 def reformat_tensor_(tensor):
68     tensor = tensor.transpose(0, 2, 1)
69     tensor = tensor.squeeze()
70     return tensor[tensor != -1].view(-1, 1)

99	def astensor(self, tensor_in, dtype='float'):
100	"""
101	Convert to a PyTorch Tensor.
102
103	Args:
104	tensor_in (Number or Tensor): Tensor object
105
106	Returns:
107	torch.Tensor: A multi-dimensional matrix containing elements of a single data type.
108	"""
109	try:
110	dtype = self.dtypemap[dtype]
111	except KeyError:
112	log.error('Invalid dtype: dtype must be float, int, or bool.')
113	raise
114
115	tensor = torch.as_tensor(tensor_in, dtype=dtype)
116	# Ensure non-empty tensor shape for consistency
117	try:
118	tensor.shape[0]
119	except IndexError:
120	tensor = tensor.expand(1)
121	return tensor

67	def reformat_tensor_(tensor):
68	tensor = tensor.transpose(0, 2, 1)
69	tensor = tensor.squeeze()
70	return tensor[tensor != -1].view(-1, 1)

How to use 'pytorch change tensor type' in Python

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