53ad661b8fa12e926286f0e48f5fbe0c8c874532,pixel_cnn_pp/nn.py,,conv2d,#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#,189

Before Change

            m_init, v_init = tf.nn.moments(x, [0,1,2])
            scale_init = init_scale / tf.sqrt(v_init + 1e-10)
            with tf.control_dependencies([g.assign(g * scale_init), b.assign_add(-m_init * scale_init)]):
                x = tf.nn.l2_normalize(x, axis=[0,1,2])

        // apply nonlinearity
        if nonlinearity is not None:

After Change

            m_init, v_init = tf.nn.moments(x, [0,1,2])
            scale_init = init_scale / tf.sqrt(v_init + 1e-10)
            with tf.control_dependencies([g.assign(g * scale_init), b.assign_add(-m_init * scale_init)]):
                x = tf.identity(x)

        // apply nonlinearity
        if nonlinearity is not None:

Instances