Intelegentny_Pszczelarz/.venv/Lib/site-packages/keras/layers/merging/minimum.py

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2023-06-19 00:49:18 +02:00
# 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 minimum (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.Minimum")
class Minimum(_Merge):
"""Layer that computes the minimum (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.Minimum()([np.arange(5).reshape(5, 1),
... np.arange(5, 10).reshape(5, 1)])
<tf.Tensor: shape=(5, 1), dtype=int64, numpy=
array([[0],
[1],
[2],
[3],
[4]])>
>>> 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))
>>> minned = tf.keras.layers.Minimum()([x1, x2])
>>> minned.shape
TensorShape([5, 8])
"""
def _merge_function(self, inputs):
output = inputs[0]
for i in range(1, len(inputs)):
output = tf.minimum(output, inputs[i])
return output
@keras_export("keras.layers.minimum")
def minimum(inputs, **kwargs):
"""Functional interface to the `Minimum` layer.
Args:
inputs: A list of input tensors.
**kwargs: Standard layer keyword arguments.
Returns:
A tensor, the element-wise minimum of the inputs.
"""
return Minimum(**kwargs)(inputs)