def make_linear_layers()

in common/nets/layer.py [0:0]

• 7 lines of code
• 6 McCabe index (conditional complexity)

def make_linear_layers(feat_dims, relu_final=True):
    layers = []
    for i in range(len(feat_dims)-1):
        layers.append(nn.Linear(feat_dims[i], feat_dims[i+1]))

        # Do not use ReLU for final estimation
        if i < len(feat_dims)-2 or (i == len(feat_dims)-2 and relu_final):
            layers.append(nn.ReLU(inplace=True))

    return nn.Sequential(*layers)