rand¶

dragon.vm.torch.rand(
  *size,
  out=None,
  dtype='float32',
  device=None,
  requires_grad=False
)[source]¶

Return a tensor from the uniform distribution of U(0, 1).

Parameters:

• size (int...) – The shape of output tensor.
• out (dragon.vm.torch.Tensor, optional) – The output tensor.
• dtype (str, optional, default='float32') – 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.