No module named tensorflow.python.platform

[abratchik]

System information

OS
Linux 4.4.0-109-generic 132-Ubuntu SMP Tue Jan 9 19:52:39 UTC 2018 x86_64 x86_64 x86_64 GNU/Linux
VERSION="16.04.3 LTS (Xenial Xerus)"
VERSION_ID="16.04"
VERSION_CODENAME=xenial
Tensorflow
Installed from source (git clone from this repository):
tf.VERSION = 1.5.0-rc1
tf.GIT_VERSION = v1.5.0-rc1-1379-g20f6af3
tf.COMPILER_VERSION = v1.5.0-rc1-1379-g20f6af3
Sanity check: array([1], dtype=int32)
Python version
Python 2.7.12
**Bazel version **
Build label: 0.9.0
GCC/Compiler version
gcc (Ubuntu 5.4.1-2ubuntu1~16.04) 5.4.1 20160904
nvcc Cuda compilation tools, release 9.1, V9.1.85
CUDA/cuDNN version
CUDA Version 9.1.85
cuDNN Version 7.0.5
GPU model and memory
GeForce 1080 Ti 11Gb
Driver Version: 387.26
Exact command to reproduce

1. git clone https://github.com/tensorflow/tensorflow
2. ./configure

WARNING: Running Bazel server needs to be killed, because the startup options are different.
You have bazel 0.9.0 installed.
Please specify the location of python. [Default is /usr/bin/python]: 


Found possible Python library paths:
  /usr/local/lib/python2.7/dist-packages
  /usr/lib/python2.7/dist-packages
Please input the desired Python library path to use.  Default is [/usr/local/lib/python2.7/dist-packages]
/usr/lib/python2.7/dist-packages
Do you wish to build TensorFlow with jemalloc as malloc support? [Y/n]: n
No jemalloc as malloc support will be enabled for TensorFlow.

Do you wish to build TensorFlow with Google Cloud Platform support? [Y/n]: n
No Google Cloud Platform support will be enabled for TensorFlow.

Do you wish to build TensorFlow with Hadoop File System support? [Y/n]: 
Hadoop File System support will be enabled for TensorFlow.

Do you wish to build TensorFlow with Amazon S3 File System support? [Y/n]: n
No Amazon S3 File System support will be enabled for TensorFlow.

Do you wish to build TensorFlow with XLA JIT support? [y/N]: 
No XLA JIT support will be enabled for TensorFlow.

Do you wish to build TensorFlow with GDR support? [y/N]: 
No GDR support will be enabled for TensorFlow.

Do you wish to build TensorFlow with VERBS support? [y/N]: 
No VERBS support will be enabled for TensorFlow.

Do you wish to build TensorFlow with OpenCL SYCL support? [y/N]: 
No OpenCL SYCL support will be enabled for TensorFlow.

Do you wish to build TensorFlow with CUDA support? [y/N]: y
CUDA support will be enabled for TensorFlow.

Please specify the CUDA SDK version you want to use, e.g. 7.0. [Leave empty to default to CUDA 9.0]: 9.1


Please specify the location where CUDA 9.1 toolkit is installed. Refer to README.md for more details. [Default is /usr/local/cuda]: 


Please specify the cuDNN version you want to use. [Leave empty to default to cuDNN 7.0]: 7.0.5


Please specify the location where cuDNN 7.0.5 library is installed. Refer to README.md for more details. [Default is /usr/local/cuda]:


Please specify a list of comma-separated Cuda compute capabilities you want to build with.
You can find the compute capability of your device at: https://developer.nvidia.com/cuda-gpus.
Please note that each additional compute capability significantly increases your build time and binary size. [Default is: 6.1]


Do you want to use clang as CUDA compiler? [y/N]: 
nvcc will be used as CUDA compiler.

Please specify which gcc should be used by nvcc as the host compiler. [Default is /usr/bin/gcc]: 


Do you wish to build TensorFlow with MPI support? [y/N]: 
No MPI support will be enabled for TensorFlow.

Please specify optimization flags to use during compilation when bazel option "--config=opt" is specified [Default is -march=native]: 


Would you like to interactively configure ./WORKSPACE for Android builds? [y/N]: 
Not configuring the WORKSPACE for Android builds.

Preconfigured Bazel build configs. You can use any of the below by adding "--config=<>" to your build command. See tools/bazel.rc for more details.
	--config=mkl         	# Build with MKL support.
	--config=monolithic  	# Config for mostly static monolithic build.
Configuration finished

3. bazel build --config=opt --config=cuda //tensorflow/tools/pip_package:build_pip_package --action_env="LD_LIBRARY_PATH=${LD_LIBRARY_PATH}"

Target //tensorflow/tools/pip_package:build_pip_package up-to-date:
  bazel-bin/tensorflow/tools/pip_package/build_pip_package
INFO: Elapsed time: 1505.551s, Critical Path: 92.22s
INFO: Build completed successfully, 6091 total actions 

4. bazel-bin/tensorflow/tools/pip_package/build_pip_package /tmp/tensorflow_pkg

Sun Jan 21 09:39:44 +04 2018 : === Output wheel file is in: /tmp/tensorflow_pkg

5. sudo pip install /tmp/tensorflow_pkg/tensorflow-1.5.0rc1-cp27-cp27mu-linux_x86_64.whl

Installing collected packages: tensorflow-tensorboard, tensorflow
Successfully installed tensorflow-1.5.0rc1 tensorflow-tensorboard-0.4.0

6. start python & post 'import tensorflow as tf' command

Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "tensorflow/__init__.py", line 24, in <module>
    from tensorflow.python import *
  File "tensorflow/python/__init__.py", line 49, in <module>
    from tensorflow.python import pywrap_tensorflow
  File "tensorflow/python/pywrap_tensorflow.py", line 25, in <module>
    from tensorflow.python.platform import self_check
ImportError: No module named platform

[abratchik]

It is simple - just change the folder from the one where you run the configure/bazel and then try python import tensorflow as tf

[abratchik]

no idea mate ) Basically it looks like you can use the tensorflow from any directory except the one where you run the build scripts.

[changwuxie]

@abratchik you are right