ed1323aa16f4a5a1b17d32080ae40e1103ec6cca,pytorch/pytorchcv/models/deeplabv3.py,DeepLabv3,forward,#DeepLabv3#Any#,135

Before Change

        _, _, h, w = x.size()
        x = self.backbone(x)
        x = self.pool(x)
        x = self.conv1(x)
        x = self.dropout(x)
        x = self.conv2(x)
        x = F.interpolate(x, size=(h, w), mode="bilinear", align_corners=True)
        return x


def get_deeplabv3(backbone,

After Change

                    init.constant_(module.bias, 0)

    def forward(self, 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