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mish

Copyright 2019 Less Wright.

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.

Mish: A Self Regularized Non-Monotonic Neural Activation Function https://arxiv.org/abs/1908.08681v1 github: https://github.com/lessw2020/mish

Classes​

Mish​

class Mish():

Mish: A Self Regularized Non-Monotonic Neural Activation Function.

More information here: Paper: https://arxiv.org/abs/1908.08681 Github: https://github.com/lessw2020/mish

Initializes internal Module state, shared by both nn.Module and ScriptModule.

Ancestors​

  • torch.nn.modules.module.Module

Methods​

def forward(self, x: torch.Tensor) ‑> torch.Tensor:

Forward method.

Arguments

  • x: Input to the activation layer.

Returns Output of the activation layer.

Variables​

  • static dump_patches : bool
  • static training : bool