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System information

• Have I written custom code (as opposed to using a stock example script provided in TensorFlow):
• OS Platform and Distribution (e.g., Linux Ubuntu 16.04):
  macOS High Sierra 10.13.1
• TensorFlow installed from (source or binary):
  pip3 install tensor flow
• TensorFlow version (use command below):
  1.4.0
• Python version:
  3.6.3
• Bazel version (if compiling from source):
• GCC/Compiler version (if compiling from source):
  GCC: stable 7.2.0
• CUDA/cuDNN version:
• GPU model and memory:
• Exact command to reproduce:
  python3 -c "import tensorflow as tf; print(tf.GIT_VERSION, tf.VERSION)"

You can collect some of this information using our environment capture script:

https://github.com/tensorflow/tensorflow/tree/master/tools/tf_env_collect.sh

You can obtain the TensorFlow version with

python -c "import tensorflow as tf; print(tf.GIT_VERSION, tf.VERSION)"

Describe the problem

Error after install Tensorflow:

python3 -c "import tensorflow as tf; print(tf.GIT_VERSION, tf.VERSION)"

/usr/local/Cellar/python3/3.6.3/Frameworks/Python.framework/Versions/3.6/lib/python3.6/importlib/_bootstrap.py:219: RuntimeWarning: compiletime version 3.5 of module 'tensorflow.python.framework.fast_tensor_util' does not match runtime version 3.6
return f(*args, **kwds)
v1.4.0-rc1-11-g130a514 1.4.0

getting this and ONE MORE error when running:
python3 -c "import keras; print (keras.version)"
Using TensorFlow backend.
/usr/local/Cellar/python3/3.6.3/Frameworks/Python.framework/Versions/3.6/lib/python3.6/importlib/_bootstrap.py:219: RuntimeWarning: compiletime version 3.5 of module 'tensorflow.python.framework.fast_tensor_util' does not match runtime version 3.6
return f(*args, **kwds)
2017-11-06 15:12:09.361728: I tensorflow/core/platform/cpu_feature_guard.cc:137] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX AVX2 FMA
2.0.9

Source code / logs

Include any logs or source code that would be helpful to diagnose the problem. If including tracebacks, please include the full traceback. Large logs and files should be attached. Try to provide a reproducible test case that is the bare minimum necessary to generate the problem.