train.py 文件源码

def emit_values(supervisor, session, step, values):
  summary = tf.Summary()
  for name, value in six.iteritems(values):
    summary_value = summary.value.add()
    summary_value.tag = name
    summary_value.simple_value = float(value)
  supervisor.summary_computed(session, summary, global_step=step)