请问Windows上的TensorFlow版本1.0.0-rc2：“ OpKernel

Question

我在Windows 7 SP1 x64 Ultimate（Python 3.5.2 | Anaconda自定义（64位））上安装了TensorFlow版本1.0.0-rc2，使用：

pip install --upgrade https://storage.googleapis.com/tensorflow/windows/cpu/tensorflow-1.0.0rc2-cp35-cp35m-win_amd64.whl

当我尝试从Eclipse 4.5或控制台中的https://web.archive.org/web/20170214034751/https://www.tensorflow.org/get_started/os_setup#test_the_tensorflow_installation运行测试脚本时：

import tensorflow as tf

print('TensorFlow version: {0}'.format(tf.__version__))

hello = tf.constant('Hello, TensorFlow!')

sess = tf.Session()

print(sess.run(hello))

我收到一些错误消息：

TensorFlow version: 1.0.0-rc2

'Hello, TensorFlow!'

E c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflob

w\core\framework\op_kernel.cc:943] OpKernel ('op: "BestSplits" device_type: "CPU"') for unknown op: BestSplits

E c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "CountExtremelyRandomStats" device_type: "CPU"') for unknown op: CountExtremelyRandomStats

E c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "FinishedNodes" device_type: "CPU"') for unknown op: FinishedNodes

E c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "GrowTree" device_type: "CPU"') for unknown op: GrowTree

E c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "ReinterpretStringToFloat" device_type: "CPU"') for unknown op: ReinterpretStringToFloat

E c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "SampleInputs" device_type: "CPU"') for unknown op: SampleInputs

为什么？

TensorFlow 0.12.1（安装有pip install tensorflow==0.12.1）没有此类问题：

TensorFlow version: 0.12.1

b'Hello, TensorFlow!'

Answer 1

似乎此问题已在1.1.0rc0及更高版本中修复。查找最新版本的tensorflow：pip search --version tensorflow升级tensorflow：pip install --upgrade tensorflow==1.1.0rc1