tensorflow: TensorFlow version 1.0.0-rc2 on Windows: “OpKernel ('op: ”BestSplits“ device_type: ”CPU“') for unknown op: BestSplits” with test code

I installed TensorFlow version 1.0.0-rc2 on Windows 7 SP1 x64 Ultimate (Python 3.5.2 |Anaconda custom (64-bit)) using:

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

When I try running the test script from https://web.archive.org/web/20170214034751/https://www.tensorflow.org/get_started/os_setup#test_the_tensorflow_installation in Eclipse 4.5 or in the console:

import tensorflow as tf
print('TensorFlow version: {0}'.format(tf.__version__))
hello = tf.constant('Hello, TensorFlow!')
sess = tf.Session()
print(sess.run(hello))

I obtain some error message:

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
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

Why?

I didn’t have such issues with TensorFlow 0.12.1 (installed with pip install tensorflow==0.12.1):

TensorFlow version: 0.12.1
b'Hello, TensorFlow!'

Stack Exchange thread: TensorFlow version 1.0.0-rc2 on Windows: “OpKernel (‘op: “BestSplits” device_type: “CPU”’) for unknown op: BestSplits” with test code

@drpngx

About this issue

Original URL
State: closed
Created 7 years ago
Reactions: 2
Comments: 21 (10 by maintainers)

Commits related to this issue

Swapped setup_tensorflow and prepare_dirs to solve issue #28 — committed to crimsonxiii/srez by barco-rna 7 years ago

Most upvoted comments

Hi, I am also facing similar type of issue. I am running tensorflow 1.0 on windows 10. When I run the following program "

**import numpy as np import tensorflow as tf

#one real values column features = [tf.contrib.layers.real_valued_column(“”, dimension=1)]

estimator = tf.contrib.learn.LinearRegressor(feature_columns=features)

dataSet = tf.contrib.learn.datasets.base.Dataset( data=np.array([[1],[2],[3],[4]]), target=np.array([[0],[-1],[-2],[-3]]) )

estimator.fit(x=dataSet.data, y=dataSet.target, steps=1000)

estimator.evaluate(x=dataSet.data, y=dataSet.target)**

I get the following error messages.

WARNING:tensorflow:Using temporary folder as model directory: C:\Users\CRCV\AppData\Local\Temp\tmp2rbt5gl8 C:\Users\CRCV\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\util\deprecation.py:247: FutureWarning: comparison to None will result in an elementwise object comparison in the future. equality = a == b WARNING:tensorflow:From C:\Users\CRCV\documents\visual studio 2015\Projects\HelloTF\HelloTF\tf_contrib_basic.py:14: calling BaseEstimator.fit (from tensorflow.contrib.learn.python.learn.estimators.estimator) with y is deprecated and will be removed after 2016-12-01. Instructions for updating: Estimator is decoupled from Scikit Learn interface by moving into separate class SKCompat. Arguments x, y and batch_size are only available in the SKCompat class, Estimator will only accept input_fn. Example conversion: est = Estimator(…) -> est = SKCompat(Estimator(…)) WARNING:tensorflow:From C:\Users\CRCV\documents\visual studio 2015\Projects\HelloTF\HelloTF\tf_contrib_basic.py:14: calling BaseEstimator.fit (from tensorflow.contrib.learn.python.learn.estimators.estimator) with x is deprecated and will be removed after 2016-12-01. Instructions for updating: Estimator is decoupled from Scikit Learn interface by moving into separate class SKCompat. Arguments x, y and batch_size are only available in the SKCompat class, Estimator will only accept input_fn. Example conversion: est = Estimator(…) -> est = SKCompat(Estimator(…)) 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 WARNING:tensorflow:From C:\Users\CRCV\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\contrib\learn\python\learn\estimators\head.py:1362: scalar_summary (from tensorflow.python.ops.logging_ops) is deprecated and will be removed after 2016-11-30. Instructions for updating: Please switch to tf.summary.scalar. Note that tf.summary.scalar uses the node name instead of the tag. This means that TensorFlow will automatically de-duplicate summary names based on the scope they are created in. Also, passing a tensor or list of tags to a scalar summary op is no longer supported. WARNING:tensorflow:From C:\Users\CRCV\documents\visual studio 2015\Projects\HelloTF\HelloTF\tf_contrib_basic.py:16: calling BaseEstimator.evaluate (from tensorflow.contrib.learn.python.learn.estimators.estimator) with y is deprecated and will be removed after 2016-12-01. Instructions for updating: Estimator is decoupled from Scikit Learn interface by moving into separate class SKCompat. Arguments x, y and batch_size are only available in the SKCompat class, Estimator will only accept input_fn. Example conversion: est = Estimator(…) -> est = SKCompat(Estimator(…)) WARNING:tensorflow:From C:\Users\CRCV\documents\visual studio 2015\Projects\HelloTF\HelloTF\tf_contrib_basic.py:16: calling BaseEstimator.evaluate (from tensorflow.contrib.learn.python.learn.estimators.estimator) with x is deprecated and will be removed after 2016-12-01. Instructions for updating: Estimator is decoupled from Scikit Learn interface by moving into separate class SKCompat. Arguments x, y and batch_size are only available in the SKCompat class, Estimator will only accept input_fn. Example conversion: est = Estimator(…) -> est = SKCompat(Estimator(…)) WARNING:tensorflow:From C:\Users\CRCV\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\contrib\learn\python\learn\estimators\head.py:1362: scalar_summary (from tensorflow.python.ops.logging_ops) is deprecated and will be removed after 2016-11-30. Instructions for updating: Please switch to tf.summary.scalar. Note that tf.summary.scalar uses the node name instead of the tag. This means that TensorFlow will automatically de-duplicate summary names based on the scope they are created in. Also, passing a tensor or list of tags to a scalar summary op is no longer supported. WARNING:tensorflow:Skipping summary for global_step, must be a float or np.float32. Press any key to continue . . .

any solution??

sajjo79 on Feb 15, 2017

I too faced the same issue. After installing nightly build, error gone. Now getting below warnings:-

sess = tf.Session() 2017-02-17 13:01:59.790943: W c:\tf_jenkins\home\workspace\nightly-win\device\cpu\os\windows\tensorflow\core\platform\cpu_feature_guard.cc:45] The TensorFlow library wasn’t compiled to use SSE instructions, but these are available on your machine and could speed up CPU computations.

Proful on Feb 17, 2017

I see the same issue using the raw win32 interpreter (cmd). However, it’s working for me in python IDLE (shell)

TrisDing on Feb 16, 2017

As far as I can tell this is fixed at HEAD, but didn’t make it into the release candidate. Fortunately you can ignore this message (unless you want to use tf.contrib.tensor_forest.*), but upgrading to the latest nightly should fix it.

mrry on Feb 14, 2017