torch / torch
torch.empty_like¶
-
torch.
empty_like
(input, *, dtype=None, layout=None, device=None, requires_grad=False, memory_format=torch.preserve_format) → Tensor¶ Returns an uninitialized tensor with the same size as
input
.torch.empty_like(input)
is equivalent totorch.empty(input.size(), dtype=input.dtype, layout=input.layout, device=input.device)
.- Parameters
input (Tensor) – the size of
input
will determine size of the output tensor.- Keyword Arguments
dtype (
torch.dtype
, optional) – the desired data type of returned Tensor. Default: ifNone
, defaults to the dtype ofinput
.layout (
torch.layout
, optional) – the desired layout of returned tensor. Default: ifNone
, defaults to the layout ofinput
.device (
torch.device
, optional) – the desired device of returned tensor. Default: ifNone
, defaults to the device ofinput
.requires_grad (bool, optional) – If autograd should record operations on the returned tensor. Default:
False
.memory_format (
torch.memory_format
, optional) – the desired memory format of returned Tensor. Default:torch.preserve_format
.
Example:
>>> torch.empty((2,3), dtype=torch.int64) tensor([[ 9.4064e+13, 2.8000e+01, 9.3493e+13], [ 7.5751e+18, 7.1428e+18, 7.5955e+18]])
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