基于python3.9.11的tensorflow安装使用和helloworld简介

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基于python3.9.11的tensorflow安装使用和helloworld简介

pip install -i https://pypi.tuna.tsinghua.edu.cn/simple lyft-dataset-sdk
pip install -i https://pypi.tuna.tsinghua.edu.cn/simple jupyter
pip install -i https://pypi.tuna.tsinghua.edu.cn/simple numba==0.48.0
pip install -i https://pypi.tuna.tsinghua.edu.cn/simple numpy==1.20.0
pip install -i https://pypi.tuna.tsinghua.edu.cn/simple networkx==2.2pip install -i https://pypi.tuna.tsinghua.edu.cn/simple tensorflow

#2.7.0版本
#hello world!

import tensorflow as tf
print(tf.__version__)
print('hello world!')

#输出结果
#tensorflow version:2.7.0
#[[-0.7889964 ]
[-0.29246098]
[-0.66763306]]

import tensorflow as tf
print('tensorflow version:'+tf.__version__)
tf.compat.v1.disable_eager_execution()
w1=tf.random.truncated_normal([2,3],0.0,1.0)
w2=tf.random.truncated_normal([3,1],0.0,1.0)x=tf.compat.v1.placeholder(tf.float32,shape=(3,2),name="input")
a=tf.compat.v1.matmul(x,w1)
y=tf.compat.v1.matmul(a,w2)with tf.compat.v1.Session() as s:init_op=tf.compat.v1.global_variables_initializer()s.run(init_op)print(s.run(y,feed_dict={x:[[0.7,0.9],[0.1,0.4],[0.5,0.8]]}))

#输出结果
#tensorflow version:2.7.0
#[21.0, 7.0]

import tensorflow.compat.v1 as tf
print('tensorflow version:'+tf.__version__)
tf.compat.v1.disable_eager_execution()input1 = tf.constant(3.0)
input2 = tf.constant(2.0)
input3 = tf.constant(5.0)
intermed = tf.add(input2, input3)
mul = tf.multiply(input1, intermed)
with tf.Session() as sess:result = sess.run([mul, intermed])print(result)