Shortcuts

torch.randint_like

torch.randint_like(input, low=0, high, \*, dtype=None, layout=torch.strided, device=None, requires_grad=False, memory_format=torch.preserve_format) Tensor

Returns a tensor with the same shape as Tensor input filled with random integers generated uniformly between low (inclusive) and high (exclusive).

Parameters
  • input (Tensor) – the size of input will determine size of the output tensor.

  • low (int, optional) – Lowest integer to be drawn from the distribution. Default: 0.

  • high (int) – One above the highest integer to be drawn from the distribution.

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.

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