30dfa316d689a232c2e6deaa813827be52aba961,niftynet/network/simulator_gan.py,ImageGenerator,layer_op,#ImageGenerator#Any#Any#Any#Any#,35

Before Change

            x_sample = ConvolutionalLayer(1, 3, with_bn=False, with_bias=True,
                                          w_initializer=w_init,
                                          b_initializer=b_init)(g_h5, is_training=is_training)
            x_sample = tf.nn.dropout(tf.nn.tanh(x_sample), keep_prob_ph)
        //with tf.name_scope("summaries_verbose"):
        //    tf.summary.histogram("hist_g_h2", g_h2, [logging.LOG])
        //    tf.summary.histogram("hist_g_h3", g_h3, [logging.LOG])

After Change

                with_bn=False,
                with_bias=True,
                w_initializer=self.initializers["w"],
                b_initializer=self.initializers["b"])
            x_sample = conv_layer(
                g_h5, is_training=is_training, keep_prob=keep_prob_ph)
        return tf.image.resize_images(x_sample, image_size[:-1])

Instances