db911d388651bbbc076d407deb837262f72846c7,tensorlayer/rein.py,,cross_entropy_reward_loss,#Any#Any#Any#Any#,40

Before Change

    

    if tf.__version__ <= "0.12":
        cross_entropy = tf.reduce_mean(tf.nn.sparse_softmax_cross_entropy_with_logits(logits=logits, targets=actions))
    else: // TF 1.0
        cross_entropy = tf.reduce_mean(tf.nn.sparse_softmax_cross_entropy_with_logits(labels=actions, logits=logits, name=name))

    // cross_entropy = tf.nn.sparse_softmax_cross_entropy_with_logits(logits, actions)

After Change

    try: // TF 1.0
        cross_entropy = tf.nn.sparse_softmax_cross_entropy_with_logits(labels=actions, logits=logits, name=name)
    except:
        cross_entropy = tf.nn.sparse_softmax_cross_entropy_with_logits(logits=logits, targets=actions)
        // cross_entropy = tf.nn.sparse_softmax_cross_entropy_with_logits(logits, actions)
        
    try: //// TF1.0
        loss = tf.reduce_sum(tf.multiply(cross_entropy, rewards))

Instances