09a72bb3d7ba47a62081b9b6b039fcd47a6da11d,pytorch/pytorchcv/models/espnetv2.py,ESPBlock,__init__,#ESPBlock#Any#Any#Any#Any#,87

Before Change

            groups=num_branches,
            activation=(lambda: nn.PReLU(mid_channels)))

        self.spp_dw = nn.ModuleList()
        for i in range(num_branches):
            dilation = dilations[i]
            self.spp_dw.append(conv3x3(
                in_channels=mid_channels,

After Change

        self.branches = HierarchicalConcurrent()
        for i in range(num_branches):
            self.branches.add_module("branch{}".format(i + 1), conv3x3(
                in_channels=mid_channels,
                out_channels=mid_channels,
                stride=stride,
                padding=dilations[i],
                dilation=dilations[i],
                groups=mid_channels))

        self.merge_conv = conv1x1_block(
            in_channels=out_channels,
            out_channels=out_channels,

Instances