message: Add a normalized value_cost
diff: @@ -298,10 +298,13 @@ def model_fn(features, labels, mode, params):
  policy_output,
  tf.one_hot(policy_target_top_1, tf.shape(policy_output)[1]))
  + value_cost_normalized = value_cost / params['value_cost_weight']
  +
  with tf.variable_scope("metrics"):
  metric_ops = {
  'policy_cost': tf.metrics.mean(policy_cost),
  'value_cost': tf.metrics.mean(value_cost),
  + 'value_cost_normalized': tf.metrics.mean(value_cost_normalized),
  'l2_cost': tf.metrics.mean(l2_cost),
  'policy_entropy': tf.metrics.mean(policy_entropy),
  'combined_cost': tf.metrics.mean(combined_cost),
  