Shortcuts

Source code for pytorchvideo.layers.swish

# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.

import torch
import torch.nn as nn


[docs]class Swish(nn.Module): """ Wrapper for the Swish activation function. """ def forward(self, x): return SwishFunction.apply(x)
[docs]class SwishFunction(torch.autograd.Function): """ Implementation of the Swish activation function: x * sigmoid(x). Searching for activation functions. Ramachandran, Prajit and Zoph, Barret and Le, Quoc V. 2017 """ @staticmethod def forward(ctx, x): result = x * torch.sigmoid(x) ctx.save_for_backward(x) return result @staticmethod def backward(ctx, grad_output): x = ctx.saved_variables[0] sigmoid_x = torch.sigmoid(x) return grad_output * (sigmoid_x * (1 + x * (1 - sigmoid_x)))
Read the Docs v: latest
Versions
latest
stable
Downloads
pdf
html
epub
On Read the Docs
Project Home
Builds

Free document hosting provided by Read the Docs.