dc56b7e531a727b1fbaacdffccb01fbe7475dee1,tflearn/layers/normalization.py,,batch_normalization,#Any#Any#Any#Any#Any#Any#Any#Any#Any#,11

Before Change

            tf.add_to_collection(tf.GraphKeys.EXCL_RESTORE_VARS, gamma)

        ema = tf.train.ExponentialMovingAverage(decay=decay)
        axis = [i for i in range(input_ndim - 1)]
        if len(axis) < 1: axis = [0]
        batch_mean, batch_var = tf.nn.moments(incoming, axis,
                                              name="moments")

After Change

            tf.add_to_collection(tf.GraphKeys.EXCL_RESTORE_VARS, beta)
            tf.add_to_collection(tf.GraphKeys.EXCL_RESTORE_VARS, gamma)

        axis = list(range(input_ndim - 1))
        moving_mean = vs.variable(scope + "moving_mean",
                                  input_shape[-1:],
                                  initializer=tf.zeros_initializer,
                                  trainable=False,

Instances