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1# Copyright 2019 The TensorFlow Authors. All Rights Reserved.
2#
3# Licensed under the Apache License, Version 2.0 (the "License");
4# you may not use this file except in compliance with the License.
5# You may obtain a copy of the License at
6#
7# http://www.apache.org/licenses/LICENSE-2.0
8#
9# Unless required by applicable law or agreed to in writing, software
10# distributed under the License is distributed on an "AS IS" BASIS,
11# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12# See the License for the specific language governing permissions and
13# limitations under the License.
14# ==============================================================================
16import tensorflow as tf
18from tensorflow_addons.utils.types import TensorLike
21@tf.keras.utils.register_keras_serializable(package="Addons")
22def mish(x: TensorLike) -> tf.Tensor:
23 r"""Mish: A Self Regularized Non-Monotonic Neural Activation Function.
25 Computes mish activation:
27 $$
28 \mathrm{mish}(x) = x \cdot \tanh(\mathrm{softplus}(x)).
29 $$
31 See [Mish: A Self Regularized Non-Monotonic Neural Activation Function](https://arxiv.org/abs/1908.08681).
33 Usage:
35 >>> x = tf.constant([1.0, 0.0, 1.0])
36 >>> tfa.activations.mish(x)
37 <tf.Tensor: shape=(3,), dtype=float32, numpy=array([0.865098..., 0. , 0.865098...], dtype=float32)>
39 Args:
40 x: A `Tensor`. Must be one of the following types:
41 `bfloat16`, `float16`, `float32`, `float64`.
42 Returns:
43 A `Tensor`. Has the same type as `x`.
44 """
45 x = tf.convert_to_tensor(x)
46 return x * tf.math.tanh(tf.math.softplus(x))