tensorflow: "Getting started" first tf.contrib.learn sample fails
The first tf.contrib.learn sample at https://www.tensorflow.org/get_started/get_started fails to run.
The code is right under “Basic usage Notice how much simpler the linear regression program becomes with tf.contrib.learn:”
Output:
WARNING:tensorflow:Using temporary folder as model directory: C:\Users\John\AppData\Local\Temp\tmpahtnt89p WARNING:tensorflow:Rank of input Tensor (1) should be the same as output_rank (2) for column. Will attempt to expand dims. It is highly recommended that you resize your input, as this behavior may change. WARNING:tensorflow:From C:\Users\John\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\contrib\learn\python\learn\estimators\head.py:521: 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. 2017-02-19 11:53:57.997760: 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. 2017-02-19 11:53:58.007657: 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 SSE2 instructions, but these are available on your machine and could speed up CPU computations. 2017-02-19 11:53:58.008177: 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 SSE3 instructions, but these are available on your machine and could speed up CPU computations. 2017-02-19 11:53:58.008726: 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 SSE4.1 instructions, but these are available on your machine and could speed up CPU computations. 2017-02-19 11:53:58.009199: 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 SSE4.2 instructions, but these are available on your machine and could speed up CPU computations. 2017-02-19 11:53:58.009591: 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 AVX instructions, but these are available on your machine and could speed up CPU computations. 2017-02-19 11:53:58.010795: 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 AVX2 instructions, but these are available on your machine and could speed up CPU computations. 2017-02-19 11:53:58.011384: 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 FMA instructions, but these are available on your machine and could speed up CPU computations. WARNING:tensorflow:Rank of input Tensor (1) should be the same as output_rank (2) for column. Will attempt to expand dims. It is highly recommended that you resize your input, as this behavior may change. WARNING:tensorflow:From C:\Users\John\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\contrib\learn\python\learn\estimators\head.py:521: 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.
(program exited with code: 0)
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Environment info
Operating System: Windows 10 Python 3.5.3 (v3.5.3:1880cb95a742, Jan 16 2017, 16:02:32) [MSC v.1900 64 bit (AMD64)] on win32
Installed version of CUDA and cuDNN: ???
If installed from binary pip package, provide:
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A link to the pip package you installed: pip install --upgrade https://storage.googleapis.com/tensorflow/windows/cpu/tensorflow-1.0.0rc2-cp35-cp35m-win_amd64.whl (to fix the BestSplits" error)
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The output from
python -c "import tensorflow; print(tensorflow.__version__)". 1.0.0-rc2
About this issue
- Original URL
- State: closed
- Created 7 years ago
- Reactions: 7
- Comments: 18 (4 by maintainers)
It’s a warning. There’s a typo in the sample code.
original estimator.evaluate(input_fn=input_fn)
fix: print(estimator.evaluate(input_fn=input_fn))
Warning can be disabled with this:
tf.logging.set_verbosity(tf.logging.ERROR)
Any idea where we can find this documentation md in the repo to fix it? I cannot match the structure of the tensorflow.org website and the g3doc directory here.
You can find the document right here: https://github.com/tensorflow/tensorflow/blob/master/tensorflow/docs_src/get_started/get_started.md