randperm¶

dragon.vm.torch.randperm(
  n,
  out=None,
  dtype='int64',
  device=None,
  requires_grad=False
)[source]¶

Return a tensor with value in the permuted range.

Specify n to determine an interval \([0, n)\):

print(torch.randperm(4))

Parameters:

• n (number) – The end of interval.
• out (dragon.vm.torch.Tensor, optional) – The output tensor.
• dtype (str, optional, default='int64') – The data type of output tensor.
• device (dragon.vm.torch.device, optional) – The device of output tensor.
• requires_grad (bool, optional, default=False) – Record gradient for output tensor or not.

Returns:

dragon.vm.torch.Tensor – The output tensor.