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Implementation of Dynamic ReLU on Pytorch

DynamicReLU

Implementation of Dynamic ReLU(types A,B) on Pytorch.

Example

import torch.nn as nn
from dyrelu import DyReluB

class Model(nn.Module):
    def __init__(self):
        super(Model, self).__init__()
        self.conv1 = nn.Conv2d(3, 10, 5)
        self.relu = DyReLUB(10, conv_type='2d')

    def forward(self, x):
        x = self.conv1(x)
        x = self.relu(x)
        return x