Pycharm测试Tensorflow是否安装成功

最新推荐文章于 2025-03-16 11:30:52 发布

gaoyueace

最新推荐文章于 2025-03-16 11:30:52 发布

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分类专栏： TensorFlow 文章标签： tensorflow pycharm 安装成功测试深度学习

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本文介绍了使用TensorFlow进行简单向量加法运算的过程，并展示了如何通过Session来获取计算结果。此外，还提及了TensorFlow未编译某些指令集但这些指令集在当前机器上可用的情况。

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import tensorflow as tf

#定义两个向量a,b
a = tf.constant([1.0, 2.0], name='a')
b = tf.constant([2.0, 3.0], name='b')
result = a+b
sess = tf.Session() #生成一个会话，通过一个会话session来计算结果
#实现了一个简单的Tensorflow模型
print(sess.run(result))

>>[ 3.  5.]

若出现计算结果，则安装成功。

2018-01-02 16:33:21.854009: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.2 instructions, but these are available on your machine and could speed up CPU computations.
2018-01-02 16:33:21.854024: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations.
2018-01-02 16:33:21.854028: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX2 instructions, but these are available on your machine and could speed up CPU computations.
2018-01-02 16:33:21.854032: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use FMA instructions, but these are available on your machine and could speed up CPU computations.