1d7b7345ab3254ed9b450dbd4208a3d63cb4963f,dataset/models/tf/linknet.py,LinkNet,_build,#LinkNet#,17

Before Change

            net = self.upsampling_block(dim, net, 64, "upsampling-3", b_norm, **kwargs)

            layout = "cna" if b_norm else "ca"
            layout_transpose = "tna" if b_norm else "ta"

            net = conv_block(dim, net, 32, 3, layout_transpose, "output_conv_1", 2, **kwargs)
            net = conv_block(dim, net, 32, 3, layout, "output_conv_2", **kwargs)

After Change

        dim = self.spatial_dim("images")
        enable_batch_norm = self.get_from_config("batch_norm", True)
        n_filters = self.get_from_config("n_filters", 64)
        n_blocks = self.get_from_config("n_blocks", 4)

        conv = {"data_format": data_format}
        batch_norm = {"momentum": 0.1,
                      "training": self.is_training}

Instances