parameters: (x, y)
return_statement: return math_ops.maximum(x, y)
docstring: Element-wise maximum of two tensors.
  
    Arguments:
        x: Tensor or variable.
        y: Tensor or variable.
  
    Returns:
        A tensor with the element wise maximum value(s) of `x` and `y`.
  
    Examples:
    ```python
    # maximum of two tensors
    >>> x = tf.Variable([[1, 2], [3, 4]])
    >>> y = tf.Variable([[2, 1], [0, -1]])
    >>> m = tf.keras.backend.maximum(x, y)
    >>> m
    <tf.Tensor: id=42, shape=(2, 2), dtype=int32, numpy=
    array([[2, 2],
           [3, 4]], dtype=int32)>
    ```
docstring_summary: Element-wise maximum of two tensors.
docstring_tokens: Element - wise maximum of two tensors .
function: def maximum(x, y):
    """Element-wise maximum of two tensors.
  
    Arguments:
        x: Tensor or variable.
        y: Tensor or variable.
  
    Returns:
        A tensor with the element wise maximum value(s) of `x` and `y`.
  
    Examples:
    ```python
    # maximum of two tensors
    >>> x = tf.Variable([[1, 2], [3, 4]])
    >>> y = tf.Variable([[2, 1], [0, -1]])
    >>> m = tf.keras.backend.maximum(x, y)
    >>> m
    <tf.Tensor: id=42, shape=(2, 2), dtype=int32, numpy=
    array([[2, 2],
           [3, 4]], dtype=int32)>
    ```
    """
    return math_ops.maximum(x, y)
function_tokens: def maximum ( x , y ) : return math_ops . maximum ( x , y )