neuralcompression/models/deep_video_compression.py [336:348]:
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        filter_channels: int = 128,
        kernel_size: int = 3,
        stride: int = 2,
        num_conv_layers: int = 4,
        use_gdn: bool = True,
    ):
        super().__init__()
        padding = kernel_size // 2
        bias = True if use_gdn else False

        self.layers = nn.ModuleList()
        for _ in range(num_conv_layers - 1):
            self.layers.append(
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neuralcompression/models/deep_video_compression.py [422:434]:
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        filter_channels: int = 128,
        kernel_size: int = 3,
        stride: int = 2,
        num_conv_layers: int = 4,
        use_gdn: bool = True,
    ):
        super().__init__()
        padding = kernel_size // 2
        bias = True if use_gdn else False

        self.layers = nn.ModuleList()
        for _ in range(num_conv_layers - 1):
            self.layers.append(
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