(a, dtype=None)
return zeros_like(a, dtype)
Returns an empty array with the shape and possibly type of the input array.

  Args:
    a: array_like. Could be an ndarray, a Tensor or any object that can be
      converted to a Tensor using `tf.convert_to_tensor`.
    dtype: Optional, defaults to dtype of the input array. 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 shape and possibly type of the input array.
Returns an empty array with the shape and possibly type of the input array .
def empty_like(a, dtype=None):
  """Returns an empty array with the shape and possibly type of the input array.

  Args:
    a: array_like. Could be an ndarray, a Tensor or any object that can be
      converted to a Tensor using `tf.convert_to_tensor`.
    dtype: Optional, defaults to dtype of the input array. The type of the
      resulting ndarray. Could be a python type, a NumPy type or a TensorFlow
      `DType`.

  Returns:
    An ndarray.
  """
  return zeros_like(a, dtype)
def empty_like ( a , dtype = None ) : return zeros_like ( a , dtype )