def forward()

in models/densenet_efficient_multi_gpu.py [0:0]


    def forward(self, x):
        if isinstance(x, Variable):
            prev_features = [x]
        else:
            prev_features = x
        out = self.efficient(prev_features)
        # out = self.conv1(out)
        if self.bn_size > 0:
            out = self.bn(out)
            out = self.relu(out)
            out = self.conv(out)
        return out