# Copyright 2015 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
"""Layer that computes the maximum (element-wise) of several inputs."""


import tensorflow.compat.v2 as tf

from keras.layers.merging.base_merge import _Merge

# isort: off
from tensorflow.python.util.tf_export import keras_export


@keras_export("keras.layers.Maximum")
class Maximum(_Merge):
    """Layer that computes the maximum (element-wise) a list of inputs.

    It takes as input a list of tensors, all of the same shape, and returns
    a single tensor (also of the same shape).

    >>> tf.keras.layers.Maximum()([np.arange(5).reshape(5, 1),
    ...                            np.arange(5, 10).reshape(5, 1)])
    <tf.Tensor: shape=(5, 1), dtype=int64, numpy=
    array([[5],
         [6],
         [7],
         [8],
         [9]])>

    >>> x1 = tf.keras.layers.Dense(8)(np.arange(10).reshape(5, 2))
    >>> x2 = tf.keras.layers.Dense(8)(np.arange(10, 20).reshape(5, 2))
    >>> maxed = tf.keras.layers.Maximum()([x1, x2])
    >>> maxed.shape
    TensorShape([5, 8])
    """

    def _merge_function(self, inputs):
        output = inputs[0]
        for i in range(1, len(inputs)):
            output = tf.maximum(output, inputs[i])
        return output


@keras_export("keras.layers.maximum")
def maximum(inputs, **kwargs):
    """Functional interface to compute maximum (element-wise) list of `inputs`.

    This is equivalent to the `tf.keras.layers.Maximum` layer.

    For example:

    ```python
    input1 = tf.keras.layers.Input(shape=(16,))
    x1 = tf.keras.layers.Dense(8, activation='relu')(input1) #shape=(None, 8)
    input2 = tf.keras.layers.Input(shape=(32,))
    x2 = tf.keras.layers.Dense(8, activation='relu')(input2) #shape=(None, 8)
    max_inp=tf.keras.layers.maximum([x1,x2]) #shape=(None, 8)
    out = tf.keras.layers.Dense(4)(max_inp)
    model = tf.keras.models.Model(inputs=[input1, input2], outputs=out)
    ```

    Args:
        inputs: A list of input tensors of same shape.
        **kwargs: Standard layer keyword arguments.

    Returns:
        A tensor (of same shape as input tensor) with the element-wise
        maximum of the inputs.

    Raises:
        ValueError: If input tensors are of different shape.
    """
    return Maximum(**kwargs)(inputs)