Method _make_final_conv

monai/networks/nets/segresnet.py:149–154

(self, out_channels: int)

        return up_layers, up_samples

    def _make_final_conv(self, out_channels: int):
        return nn.Sequential(
            get_norm_layer(name=self.norm, spatial_dims=self.spatial_dims, channels=self.init_filters),
            self.act_mod,
            get_conv_layer(self.spatial_dims, self.init_filters, out_channels, kernel_size=1, bias=True),
        )

    def encode(self, x: torch.Tensor) -> tuple[torch.Tensor, list[torch.Tensor]]:
        x = self.convInit(x)