737970089aff4fb9bf0e1adda1bb978c4a9a6e3c,hypergan/discriminators/densenet_discriminator.py,,discriminator,#Any#Any#Any#Any#Any#Any#Any#,29

Before Change

        gs = [pg for pg in gs if not should_ignore_layer(pg, config["resize"])]

        x = tf.image.resize_images(x,config["resize"], 1)
        g = tf.image.resize_images(g,config["resize"], 1)

        print("X XSXS SX", x.get_shape(), g.get_shape(), xs, config["resize"])

    net = tf.concat(0, [x,g])

After Change

        //x = tf.image.resize_images(x,config["resize"], 1)
        //g = tf.image.resize_images(g,config["resize"], 1)
        x = xs[0]
        g = gs[0]

        print("X XSXS SX", x.get_shape(), g.get_shape(), xs, config["resize"])

    net = tf.concat(0, [x,g])

Instances