code: def _conversion_function(pt_wrapper, dtype=None, name=None, as_ref=False):
    
    # Ignore as_ref to not create backward compatibility issues.
    _ = name, as_ref
    t = pt_wrapper.tensor
    if dtype and not dtype.is_compatible_with(t.dtype):
      raise ValueError(
          'Tensor conversion requested dtype %s for Tensor with dtype %s: %r' %
          (dtype, t.dtype, t))
    return t
docs: Allows PrettyTensors and Loss to work as a tensor.