src/transformers/models/mobilenet_v2/modeling_mobilenet_v2.py/MobileNetV2DeepLabV3Plus/forward
class MobileNetV2DeepLabV3Plus:    def forward(self, features: torch.Tensor) -> torch.Tensor:
        spatial_size = features.shape[-2:]

        features_pool = self.avg_pool(features)
        features_pool = self.conv_pool(features_pool)
        features_pool = nn.functional.interpolate(
            features_pool, size=spatial_size, mode="bilinear", align_corners=True
        )

        features_aspp = self.conv_aspp(features)

        features = torch.cat([features_pool, features_aspp], dim=1)

        features = self.conv_projection(features)
        features = self.dropout(features)
        features = self.classifier(features)
        return features