86 lines
2.8 KiB
Python
86 lines
2.8 KiB
Python
# 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)
|