Shortcuts

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.

  • 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:

>>> 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]])

Docs

Access comprehensive developer documentation for PyTorch

View Docs

Tutorials

Get in-depth tutorials for beginners and advanced developers

View Tutorials

Resources

Find development resources and get your questions answered

View Resources