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 to torch.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: if None, defaults to the dtype of input.
• layout (torch.layout, optional) – the desired layout of returned tensor. Default: if None, defaults to the layout of input.
• device (torch.device, optional) – the desired device of returned tensor. Default: if None, defaults to the device of input.
• 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:

>>> a=torch.empty((2,3), dtype=torch.int32, device = 'cuda')
>>> torch.empty_like(a)
tensor([[0, 0, 0],
        [0, 0, 0]], device='cuda:0', dtype=torch.int32)