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guanjihuan 2023-09-05 20:19:28 +08:00
parent 8d83457a0e
commit 8a84c701e3
1 changed files with 12 additions and 3 deletions
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language_learning/python/2019.10.11_tensorflow_example/tensorflow.py → language_learning/python/2019.10.11_tensorflow_example/tensorflow_example.py
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@ -1,4 +1,13 @@
import tensorflow as tf # 导入tensorflow """
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"""
# import tensorflow as tf # 导入tensorflow
import tensorflow.compat.v1 as tf # 之所以这么调用，是因为tensorflow版本2.0无法兼容版本1.0
tf.compat.v1.disable_eager_execution() # 这行代码可以保证 sess.run() 能够正常运行
greeting = tf.constant('Hello Google Tensorflow!') # 定义一个常量 greeting = tf.constant('Hello Google Tensorflow!') # 定义一个常量
@ -28,7 +37,7 @@ print(linear) # 直接打印是不能看到计算结果的，因为还未执行
state = tf.Variable(3, name='counter') # 变量tf.Variable state = tf.Variable(3, name='counter') # 变量tf.Variable
init = tf.global_variables_initializer() # 如果定义了变量,后面一定要有这个语句，用来初始化变量。 init = tf.global_variables_initializer() # 如果定义了变量,后面一定要有这个语句，用来初始化变量。
with tf.Session() as sess: with tf.Session() as sess:
sess.run(init) # 变量一定要初始化变量 sess.run(init) # 初始化变量
print(sess.run(state)) # 执行语句并打印显示 print(sess.run(state)) # 执行语句并打印显示
# 例子3：占位符tf.placeholder()，用来临时占坑，需要用feed_dict来传入数值。 # 例子3：占位符tf.placeholder()，用来临时占坑，需要用feed_dict来传入数值。
@ -36,4 +45,4 @@ x1 = tf.placeholder(tf.float32)
x2 = tf.placeholder(tf.float32) x2 = tf.placeholder(tf.float32)
y = x1 + x2 y = x1 + x2
with tf.Session() as sess: with tf.Session() as sess:
print(sess.run(y, feed_dict={x1: 7, x2: 2})) print(sess.run(y, feed_dict={x1: 7, x2: 2}))