(shape, dtype=float)
return zeros(shape, dtype)
Returns an empty array with the specified shape and dtype.

  Args:
    shape: A fully defined shape. Could be - NumPy array or a python scalar,
      list or tuple of integers, - TensorFlow tensor/ndarray of integer type and
      rank <=1.
    dtype: Optional, defaults to float. The type of the resulting ndarray. Could
      be a python type, a NumPy type or a TensorFlow `DType`.

  Returns:
    An ndarray.
Returns an empty array with the specified shape and dtype.
Returns an empty array with the specified shape and dtype .
def empty(shape, dtype=float):  # pylint: disable=redefined-outer-name
  """Returns an empty array with the specified shape and dtype.

  Args:
    shape: A fully defined shape. Could be - NumPy array or a python scalar,
      list or tuple of integers, - TensorFlow tensor/ndarray of integer type and
      rank <=1.
    dtype: Optional, defaults to float. The type of the resulting ndarray. Could
      be a python type, a NumPy type or a TensorFlow `DType`.

  Returns:
    An ndarray.
  """
  return zeros(shape, dtype)
def empty ( shape , dtype = float ) : # pylint: disable=redefined-outer-name return zeros ( shape , dtype )