BReLU demo

BReLU_demo.py

class ClassifierBReLU(nn.Module):
    '''
    Simple fully-connected classifier model to demonstrate BReLU activation.
    '''
    def __init__(self):
        super(ClassifierBReLU, self).__init__()

        # initialize layers
        self.fc1 = nn.Linear(784, 256)
        self.fc2 = nn.Linear(256, 128)
        self.fc3 = nn.Linear(128, 64)
        self.fc4 = nn.Linear(64, 10)

        # create shortcuts for BReLU
        self.a1 = brelu.apply
        self.a2 = brelu.apply
        self.a3 = brelu.apply

    def forward(self, x):
        # make sure the input tensor is flattened
        x = x.view(x.shape[0], -1)

        # apply BReLU
        x = self.a1(self.fc1(x))
        x = self.a2(self.fc2(x))
        x = self.a3(self.fc3(x))
        x = F.log_softmax(self.fc4(x), dim=1)
        
        return x
    
model = ClassifierBReLU()
train_model(model)