6c9dd18771c43962ac12b4c44e4a63273271c6bb,gluon/gluoncv2/models/inceptionv3.py,InceptionCUnit,__init__,#InceptionCUnit#Any#Any#,471

Before Change

                 bn_use_global_stats,
                 **kwargs):
        super(InceptionCUnit, self).__init__(**kwargs)
        with self.name_scope():
            self.branches = HybridConcurrent(axis=1, prefix="")
            self.branches.add(Conv1x1Branch(
                in_channels=in_channels,
                out_channels=320,
                bn_use_global_stats=bn_use_global_stats))
            self.branches.add(ConvSeq3x3Branch(
                in_channels=in_channels,
                out_channels_list=(384,),
                kernel_size_list=(1,),
                strides_list=(1,),
                padding_list=(0,),
                bn_use_global_stats=bn_use_global_stats))
            self.branches.add(ConvSeq3x3Branch(
                in_channels=in_channels,
                out_channels_list=(448, 384),
                kernel_size_list=(1, 3),
                strides_list=(1, 1),
                padding_list=(0, 1),
                bn_use_global_stats=bn_use_global_stats))
            self.branches.add(AvgPoolBranch(
                in_channels=in_channels,
                out_channels=192,
                bn_use_global_stats=bn_use_global_stats))

    def hybrid_forward(self, F, x):
        x = self.branches(x)
        return x

After Change

    Parameters:
    ----------
    in_channels : int
        Number of input channels.
    out_channels : int
        Number of output channels.
    mid_channels : int

Instances