8dc869c9450419461e671ac3e74a6893fa9c6572,gluon/gluoncv2/models/deeplabv3.py,DeepLabv3,hybrid_forward,#DeepLabv3#Any#Any#,142

Before Change

    def hybrid_forward(self, F, x):
        x = self.backbone(x)
        x = self.pool(x)
        x = self.conv1(x)
        x = self.dropout(x)
        x = self.conv2(x)
        x = F.contrib.BilinearResize2D(x, height=self.in_size[0], width=self.in_size[1])
        return x


def get_deeplabv3(backbone,

After Change

                    bottleneck_factor=4)

    def hybrid_forward(self, F, x):
        in_size = self.in_size if self.fixed_size else x.shape[2:]
        x, y = self.backbone(x)
        x = self.pool(x)
        x = self.final_block(x, in_size)
        if self.aux:

Instances