parameters: (tensor, dtype=None, name=None)
docstring: Creates a tensor with all elements set to zero.
  
    Given a single tensor (`tensor`), this operation returns a tensor of the
    same type and shape as `tensor` with all elements set to zero. Optionally,
    you can use `dtype` to specify a new type for the returned tensor.
  
    For example:
  
    ```python
    # 'tensor' is [[1, 2, 3], [4, 5, 6]]
    tf.zeros_like(tensor) ==> [[0, 0, 0], [0, 0, 0]]
    ```
  
    Args:
      tensor: A `Tensor`.
      dtype: A type for the returned `Tensor`. Must be `float32`, `float64`,
      `int8`, `int16`, `int32`, `int64`, `uint8`, `complex64`, or `complex128`.
      name: A name for the operation (optional).
  
    Returns:
      A `Tensor` with all elements set to zero.
docstring_summary: Creates a tensor with all elements set to zero.
docstring_tokens: Creates a tensor with all elements set to zero .
function: def zeros_like(tensor, dtype=None, name=None):
    """Creates a tensor with all elements set to zero.
  
    Given a single tensor (`tensor`), this operation returns a tensor of the
    same type and shape as `tensor` with all elements set to zero. Optionally,
    you can use `dtype` to specify a new type for the returned tensor.
  
    For example:
  
    ```python
    # 'tensor' is [[1, 2, 3], [4, 5, 6]]
    tf.zeros_like(tensor) ==> [[0, 0, 0], [0, 0, 0]]
    ```
  
    Args:
      tensor: A `Tensor`.
      dtype: A type for the returned `Tensor`. Must be `float32`, `float64`,
      `int8`, `int16`, `int32`, `int64`, `uint8`, `complex64`, or `complex128`.
      name: A name for the operation (optional).
  
    Returns:
      A `Tensor` with all elements set to zero.
    """
    with ops.op_scope([tensor], name, "zeros_like") as name:
      tensor = ops.convert_to_tensor(tensor, name="tensor")
      if dtype is not None and tensor.dtype != dtype:
        ret = zeros(shape(tensor), dtype, name=name)
        ret.set_shape(tensor.get_shape())
        return ret
      else:
        return gen_array_ops._zeros_like(tensor, name=name)
function_tokens: def zeros_like ( tensor , dtype = None , name = None ) : with ops . op_scope ( [ tensor ] , name , "zeros_like" ) as name : tensor = ops . convert_to_tensor ( tensor , name = "tensor" ) if dtype is not None and tensor . dtype != dtype : ret = zeros ( shape ( tensor ) , dtype , name = name ) ret . set_shape ( tensor . get_shape ( ) ) return ret else : return gen_array_ops . _zeros_like ( tensor , name = name )