# Copyright 2023 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. """Self Regularized Non-Monotonic Activation Function.""" import tensorflow as tf, tf_keras @tf_keras.utils.register_keras_serializable(package='Text') def mish(x) -> tf.Tensor: """Mish activation function. Mish: A Self Regularized Non-Monotonic Activation Function https://arxiv.org/pdf/1908.08681.pdf Mish(x) = x * tanh(ln(1+e^x)) Args: x: A `Tensor` representing preactivation values. Returns: The activation value. """ x = tf.convert_to_tensor(x) return x * tf.tanh(tf.nn.softplus(x))