(*arrays_and_dtypes)
return dtypes._result_type(*arrays_and_dtypes)
Returns the type resulting from applying NumPy type promotion to arguments.

  Args:
    *arrays_and_dtypes: A list of array_like objects or dtypes.

  Returns:
    A numpy dtype.
Returns the type resulting from applying NumPy type promotion to arguments.
Returns the type resulting from applying NumPy type promotion to arguments .
def result_type(*arrays_and_dtypes):
  """Returns the type resulting from applying NumPy type promotion to arguments.

  Args:
    *arrays_and_dtypes: A list of array_like objects or dtypes.

  Returns:
    A numpy dtype.
  """
  def maybe_get_dtype(x):
    # Don't put np.ndarray in this list, because np.result_type looks at the
    # value (not just dtype) of np.ndarray to decide the result type.
    if isinstance(x, (arrays.ndarray, arrays.ShardedNdArray,
                      tf.Tensor, tf.IndexedSlices)):
      return _to_numpy_type(x.dtype)
    elif isinstance(x, tf.DType):
      return _to_numpy_type(x)
    return x
  arrays_and_dtypes = [maybe_get_dtype(x) for x in
                       tf.nest.flatten(arrays_and_dtypes)]
  if not arrays_and_dtypes:
    # If arrays_and_dtypes is an empty list, let numpy decide what the dtype is.
    arrays_and_dtypes = [np.asarray([])]
  return dtypes._result_type(*arrays_and_dtypes)
def result_type ( * arrays_and_dtypes ) : def maybe_get_dtype ( x ) : # Don't put np.ndarray in this list, because np.result_type looks at the # value (not just dtype) of np.ndarray to decide the result type. if isinstance ( x , ( arrays . ndarray , arrays . ShardedNdArray , tf . Tensor , tf . IndexedSlices ) ) : return _to_numpy_type ( x . dtype ) elif isinstance ( x , tf . DType ) : return _to_numpy_type ( x ) return x arrays_and_dtypes = [ maybe_get_dtype ( x ) for x in tf . nest . flatten ( arrays_and_dtypes ) ] if not arrays_and_dtypes : # If arrays_and_dtypes is an empty list, let numpy decide what the dtype is. arrays_and_dtypes = [ np . asarray ( [ ] ) ] return dtypes . _result_type ( * arrays_and_dtypes )