skip at the start of the buffer. Default: 0.
  * **requires_grad** (*bool**, **optional*) -- If autograd should
    record operations on the returned tensor. Default: "False".

Example:
  >>> import array
  >>> a = array.array('i', [1, 2, 3])
  >>> t = torch.frombuffer(a, dtype=torch.int32)
  >>> t
  tensor([ 1,  2,  3])
  >>> t[0] = -1
  >>> a
  array([-1,  2,  3])

  >>> # Interprets the signed char bytes as 32-bit integers.
  >>> # Each 4 signed char elements will be interpreted as
  >>> # 1 signed 32-bit integer.
  >>> import array
  >>> a = array.array('b', [-1, 0, 0, 0])
  >>> torch.frombuffer(a, dtype=torch.int32)
  tensor([255], dtype=torch.int32)
