torch.Tensor.new_empty¶
- Tensor.new_empty(size, *, dtype=None, device=None, requires_grad=False, layout=torch.strided, pin_memory=False) Tensor ¶
Returns a Tensor of size
size
filled with uninitialized data. By default, the returned Tensor has the sametorch.dtype
andtorch.device
as this tensor.- Parameters
size (int...) – a list, tuple, or
torch.Size
of integers defining the shape of the output tensor.- Keyword Arguments
dtype (
torch.dtype
, optional) – the desired type of returned tensor. Default: if None, sametorch.dtype
as this tensor.device (
torch.device
, optional) – the desired device of returned tensor. Default: if None, sametorch.device
as this tensor.requires_grad (bool, optional) – If autograd should record operations on the returned tensor. Default:
False
.layout (
torch.layout
, optional) – the desired layout of returned Tensor. Default:torch.strided
.pin_memory (bool, optional) – If set, returned tensor would be allocated in the pinned memory. Works only for CPU tensors. Default:
False
.
Example:
>>> tensor = torch.ones(()) >>> tensor.new_empty((2, 3)) tensor([[ 5.8182e-18, 4.5765e-41, -1.0545e+30], [ 3.0949e-41, 4.4842e-44, 0.0000e+00]])