

steps (int) -- size of the constructed tensor

base (float, optional) -- base of the logarithm
    function. Default: "10.0".



Keyword Arguments:
      * out (Tensor, optional) -- the output tensor.
  * **dtype** (*torch.dtype**, **optional*) -- the data type to
    perform the computation in. Default: if None, uses the global
    default dtype (see torch.get_default_dtype()) when both
    "start" and "end" are real, and corresponding complex dtype
    when either is complex.

  * **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 "None", 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.
