import tensorflow as tf
# e,即event,代表某一個batch的日志記錄
for e in tf.train.summary_iterator('./log/events.out.tfevents.1538814721.7226610225d8'):
# v,即value,代表這個batch的某個已記錄的觀測值,loss或者accuracy
for v in e.summary.value:
if v.tag == 'loss' or v.tag == 'accuracy':
print(v.simple_value)