57c40574673c3d0d35076234d3e55b46a3be5891,pytorch/models/nasnet.py,ReductionCell0,__init__,#ReductionCell0#Any#Any#Any#Any#,693

Before Change

                 in_channels_right,
                 out_channels_right):
        super(ReductionCell0, self).__init__()
        self.conv_prev_1x1 = nn.Sequential()
        self.conv_prev_1x1.add_module("relu", nn.ReLU())
        self.conv_prev_1x1.add_module("conv", conv1x1(
            in_channels=in_channels_left,
            out_channels=out_channels_left))
        self.conv_prev_1x1.add_module("bn", nasnet_batch_norm(channels=out_channels_left))

        self.conv_1x1 = nn.Sequential()
        self.conv_1x1.add_module("relu", nn.ReLU())
        self.conv_1x1.add_module("conv", conv1x1(
            in_channels=in_channels_right,
            out_channels=out_channels_right))
        self.conv_1x1.add_module("bn", nasnet_batch_norm(channels=out_channels_right))

        self.comb_iter_0_left = branch_separables_reduction_k5_s2_p2(
            in_channels=out_channels_right,
            out_channels=out_channels_right)

After Change

                 out_channels_right):
        super(ReductionCell0, self).__init__()

        self.conv_prev_1x1 = nas_conv1x1(
            in_channels=in_channels_left,
            out_channels=out_channels_left)
        // self.conv_prev_1x1 = nn.Sequential()
        // self.conv_prev_1x1.add_module("relu", nn.ReLU())
        // self.conv_prev_1x1.add_module("conv", conv1x1(
        //     in_channels=in_channels_left,

Instances