我是TensorFlow的新手.我最近安装了它(Windows CPU版本)并收到以下消息:
成功安装了tensorflow-1.4.0 tensorflow-tensorboard-0.4.0rc2
然后,当我试图跑
import tensorflow as tf
hello = tf.constant('Hello, TensorFlow!')
sess = tf.Session()
sess.run(hello)
'Hello, TensorFlow!'
a = tf.constant(10)
b = tf.constant(32)
sess.run(a + b)
42
sess.close()
(我通过https://github.com/tensorflow/tensorflow找到)
我收到以下消息:
2017-11-02 01:56:21.698935:IC:\ tf_jenkins\home\workspace\rel-win\M\windows\PY\36\tensorflow\core\platform\cpu_feature_guard.cc:137]你的CPU支持这个说明TensorFlow二进制文件未编译使用:AVX AVX2
但是当我跑的时候
import tensorflow as tf
hello = tf.constant('Hello, TensorFlow!')
sess = tf.Session()
print(sess.run(hello))
它运行应该和输出Hello, TensorFlow!,这表明安装确实成功,但还有其他错误.
你知道问题是什么以及如何解决它？谢谢.
这是从运行脚本以检查Tensorflow是否正常工作时收到的消息:
I tensorflow/stream_executor/dso_loader.cc:125] successfully opened CUDA library libcublas.so.8.0 locally
I tensorflow/stream_executor/dso_loader.cc:125] successfully opened CUDA library libcudnn.so.5 locally
I tensorflow/stream_executor/dso_loader.cc:125] successfully opened CUDA library libcufft.so.8.0 locally
I tensorflow/stream_executor/dso_loader.cc:125] successfully opened CUDA library libcuda.so.1 locally
I tensorflow/stream_executor/dso_loader.cc:125] successfully opened CUDA library libcurand.so.8.0 locally
W tensorflow/core/platform/cpu_feature_guard.cc:95] The TensorFlow library wasn't compiled to use SSE4.2 instructions, but these are available on your machine and could speed up CPU computations.
W tensorflow/core/platform/cpu_feature_guard.cc:95] The TensorFlow library wasn't compiled to use AVX instructions, but these are available …