torch_randperm function

Randperm

torch_randperm(
  n,
  dtype = torch_int64(),
  layout = NULL,
  device = NULL,
  requires_grad = FALSE
)

Arguments

• n: (int) the upper bound (exclusive)
• dtype: (torch.dtype, optional) the desired data type of returned tensor. Default: torch_int64.
• layout: (torch.layout, optional) the desired layout of returned Tensor. Default: torch_strided.
• device: (torch.device, optional) the desired device of returned tensor. Default: if NULL, uses the current device for the default tensor type (see torch_set_default_tensor_type). device will be the CPU for CPU tensor types and the current CUDA device for CUDA tensor types.
• requires_grad: (bool, optional) If autograd should record operations on the returned tensor. Default: FALSE.

randperm(n, out=NULL, dtype=torch.int64, layout=torch.strided, device=NULL, requires_grad=False) -> LongTensor

Returns a random permutation of integers from 0 to n - 1.

Examples

if (torch_is_installed()) {

torch_randperm(4)
}