2017-03-20 84 views
1

我將張力流的最新版本安裝到了Anaconda虛擬環境中。運行Hello World測試會導致OpKernel未知操作錯誤。這就像TensorFlow version 1.0.0-rc2 on Windows: "OpKernel ('op: "BestSplits" device_type: "CPU"') for unknown op: BestSplits" with test code一樣,但是修復方法是運行每晚構建以避免1.0.0-rc2中出現問題。問:TensorFlow 1.0.1 OpKernel未知操作錯誤

我的版本是#116(Mar 18,2017 2:25:00 AM)tensorflow-1.0.1-cp35-cp35m-win_amd64.whl,它應該包含上述修復。看來只有後來的版本(#1 17 2017年3月19日上午2:25)失敗。下面我粘貼了我的會話日誌。

布魯斯

c:\users\bruce>conda create --name TF python=3.5 
Fetching package metadata ........... 
Solving package specifications: . 

Package plan for installation in environment C:\Users\Bruce\Anaconda2\envs\TF: 

The following NEW packages will be INSTALLED: 

    pip:   9.0.1-py35_1 
    python:   3.5.3-0 
    setuptools:  27.2.0-py35_1 
    vs2015_runtime: 14.0.25123-0 
    wheel:   0.29.0-py35_0 

Proceed ([y]/n)? y 

python-3.5.3-0 100% |###############################| Time: 0:00:08 3.83 MB/s 

c:\users\bruce>activate TF 

(TF) c:\users\bruce>pip install --ignore-installed --upgrade https://storage.googleapis.com/tensorflow/windows/cpu/tensorflow-1.0.1-cp35-cp35m-win_amd64.whl 
Collecting tensorflow==1.0.1 from https://storage.googleapis.com/tensorflow/windows/cpu/tensorflow-1.0.1-cp35-cp35m-win_amd64.whl 
    Downloading https://storage.googleapis.com/tensorflow/windows/cpu/tensorflow-1.0.1-cp35-cp35m-win_amd64.whl (14.7MB) 
    100% |################################| 14.7MB 92kB/s 
Collecting numpy>=1.11.0 (from tensorflow==1.0.1) 
    Downloading numpy-1.12.1-cp35-none-win_amd64.whl (7.7MB) 
    100% |################################| 7.7MB 174kB/s 
Collecting wheel>=0.26 (from tensorflow==1.0.1) 
    Downloading wheel-0.29.0-py2.py3-none-any.whl (66kB) 
    100% |################################| 71kB 4.6MB/s 
Collecting six>=1.10.0 (from tensorflow==1.0.1) 
    Downloading six-1.10.0-py2.py3-none-any.whl 
Collecting protobuf>=3.1.0 (from tensorflow==1.0.1) 
    Downloading protobuf-3.2.0-py2.py3-none-any.whl (360kB) 
    100% |################################| 368kB 2.2MB/s 
Collecting setuptools (from protobuf>=3.1.0->tensorflow==1.0.1) 
    Downloading setuptools-34.3.2-py2.py3-none-any.whl (389kB) 
    100% |################################| 399kB 2.1MB/s 
Collecting appdirs>=1.4.0 (from setuptools->protobuf>=3.1.0->tensorflow==1.0.1) 
    Downloading appdirs-1.4.3-py2.py3-none-any.whl 
Collecting packaging>=16.8 (from setuptools->protobuf>=3.1.0->tensorflow==1.0.1) 
    Downloading packaging-16.8-py2.py3-none-any.whl 
Collecting pyparsing (from packaging>=16.8->setuptools->protobuf>=3.1.0->tensorflow==1.0.1) 
    Downloading pyparsing-2.2.0-py2.py3-none-any.whl (56kB) 
    100% |################################| 61kB 3.9MB/s 
Installing collected packages: numpy, wheel, six, appdirs, pyparsing, packaging, setuptools, protobuf, tensorflow 
Successfully installed appdirs-1.4.3 numpy-1.12.1 packaging-16.8 protobuf-3.2.0 pyparsing-2.2.0 setuptools-34.3.2 six-1.10.0 tensorflow-1.0.1 wheel-0.29.0 

(TF) c:\users\bruce>python 
Python 3.5.3 |Continuum Analytics, Inc.| (default, Feb 22 2017, 21:28:42) [MSC v.1900 64 bit (AMD64)] on win32 
Type "help", "copyright", "credits" or "license" for more information. 
>>> import tensorflow as tf 
>>> hello = tf.constant('Hello, TensorFlow!') 
>>> sess = tf.Session() 
>>> print(sess.run(hello)) 
E c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\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 
E c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "ScatterAddNdim" device_type: "CPU"') for unknown op: ScatterAddNdim 
E c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "TopNInsert" device_type: "CPU"') for unknown op: TopNInsert 
E c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "TopNRemove" device_type: "CPU"') for unknown op: TopNRemove 
E c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "TreePredictions" device_type: "CPU"') for unknown op: TreePredictions 
E c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\framework\op_kernel.cc:943] OpKernel ('op: "UpdateFertileSlots" device_type: "CPU"') for unknown op: UpdateFertileSlots 
b'Hello, TensorFlow!' 
>>> exit() 

(TF) c:\users\bruce> 

回答

1

此問題已被固定在TensorFlow的master分支,但修復是不是從中1.0和1.0.1版本中做出的r1.0發佈分支。它將在下一個版本(1.1)中發佈,但現在您可以選擇忽略從源代碼編譯或使用夜間編譯的錯誤消息—,這些消息是無害的—。