ffd59b08a23494b7c2d21b57ff783a7311b41136,pytorch/pytorchcv/models/others/espnetv2.py,CBR,__init__,#CBR#Any#Any#Any#Any#Any#,177

Before Change

        :param stride: stride rate for down-sampling. Default is 1
        """
        super().__init__()
        padding = int((kernel_size - 1) / 2)
        self.conv = nn.Conv2d(
            in_channels,
            out_channels,
            kernel_size,
            stride=stride,
            padding=padding,
            bias=False,
            groups=groups)
        self.bn = nn.BatchNorm2d(out_channels)
        self.act = nn.PReLU(out_channels)

    def forward(self, input):

After Change

                 last_ordinals=0,
                 dual_path_scheme=(lambda module, x1, x2: module(x1, x2)),
                 dual_path_scheme_ordinal=(lambda module, x1, x2: (module(x1), x2))):
        super(DualPathSequential, self).__init__()
        self.return_two = return_two
        self.first_ordinals = first_ordinals
        self.last_ordinals = last_ordinals
        self.dual_path_scheme = dual_path_scheme

Instances