ede220455551e37c2a288c284abb6511bc75bf0b,musegan/modules.py,PhraseDiscriminator,__call__,#PhraseDiscriminator#Any#Any#,115

Before Change

                              kernels=[2, 1], strides=[1, 1], name="h0"))
            h1 = lrelu(conv2d(concat_cond_conv(h0, self.condition), self.output_dim, kernels=[3, 1], strides=[3, 1],
                              name="h1"))
            h1 = tf.squeeze(tf.squeeze(h1, axis=2), axis=1)
        return h1

After Change

            h1 = lrelu(conv2d(h0, 128, kernels=[3, 1], strides=[3, 1],name="h1"))

            //// linear
            h2 = tf.reshape(h1, [-1, np.product([s.value for s in h1.get_shape()[1:]])])
            h2 = lrelu(linear(h2, 1024, name="h2"))
            h3 = linear(h2, 1, name="h3")
        return h3


class ImageGenerator(object):

Instances