#!/usr/bin/env python
# coding: utf-8

# In[1]:


import warnings
warnings.simplefilter(action='ignore')


# In[2]:


import tensorflow as tf


# ### 1. 创建计算图并执行

# In[3]:


width = tf.placeholder('int32', name='width')
height = tf.placeholder('int32', name='height')
area = tf.multiply(width, height, name='area')

with tf.Session() as sess:
    sess.run(tf.global_variables_initializer())
    print('area:', sess.run(area, feed_dict={width: 6, height: 8}))


# ### 2. 将计算图写入log文件, 用于在 TensorBoard 中查看

# In[4]:


tf.summary.merge_all()  # 将所有要显示在 TensorBoard 的数据整合
train_writer = tf.summary.FileWriter('log/graph_area', sess.graph)