tools.py 文件源码

def accuracy(logits, labels):
  """Evaluate the quality of the logits at predicting the label.
  Args:
    logits: Logits tensor, float - [batch_size, NUM_CLASSES].
    labels: Labels tensor, 
  """
  with tf.name_scope('accuracy') as scope:
      correct = tf.equal(tf.arg_max(logits, 1), tf.arg_max(labels, 1))
      correct = tf.cast(correct, tf.float32)
      accuracy = tf.reduce_mean(correct)*100.0
      tf.summary.scalar(scope+'/accuracy', accuracy)
  return accuracy



#%%