So I started to build tensorflow in Mac and the thing is that it doesn't seem possible to build tensorflow in Mac OS platform.
After following instructions in here, I get this package directory.
It seems like the build settings for bazel is only for linux distro. The reason why I thought so is because there is a .so file in package directory that is needed to be linked after importing tensorflow using python binary.
This is the result I get after importing tensorflow using python.
Is there any other way I can build tensorflow on Mac OS?
It seems like there are no options but to install tensorflow with pip. So I just created a new virtual machine and installed ubuntu 16.04 to use it as my docker host. By doing so, I can create a new docker container which can now link and execute the linux library.
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Attempting to run tensorflow a Mac, using python 3.7 as well as PyCharm and receiving where module tensorflow has no attribute app, at the following.
I've run through a number of potential solutions. Following the instructions provided on this question: Installing tensorflow on Pycharm (Mac). I've managed to successfully create a virtual-env in which I installed the tensorflow package however this folder contains
nothing but the init.py and pycache and the error remains.
I've also tried copying the contents of the tensorflow GitHub repo directly into this folder but it results in an ImportError.
Not sure what the issue is. Should I switch to python 2.7?
Python 3.7 is still unsupported as of this moment by tensorflow.
I am trying to install "TensorFlow-Probability" for windows offline without going through internet so that I can avoid network firewall issue, but I could not find any instruction about how to. Any suggestion?
TensorFlow-Probability is pure python, there is no need for a windows build of it.
You should be able to download the file from: https://pypi.org/project/tensorflow-probability/#files
and pip install it in a conda or python environment.
1.Create a new environment through conda create --name tftest. (You can replace tftest with e.g. the name of your current project.)
2.Activate that new environment through activate tftest.
3.Install TF into this environment through conda install tensorflow.
4.Ensure that you're in the right environment through where python (which should produce a path containing "tftest").
5.Run Python through python.
6.import tensorflow as tf in a shell in that environment.
Thanks to great community as I found this thanks to another post!!!
Starting with version 1.6.0, prebuild binaries need AVX instructions.
There are some bug reports by people who tried to use the precompiled binaries but whose doesn't support AVX instructions and got the same error as you posted here:
https://github.com/tensorflow/tensorflow/issues/17761
https://github.com/tensorflow/tensorflow/issues/17386
Maybe you have this problem? If yes, you may have to build tensorflow from sources or downgrade to tensorflow 1.5.1.
We can setup Tensorflow environment in local machine using following options:
Virtualenv
"native" pip
Docker
Anaconda
For using an IDE like PyCharm is recommended by most of all. Is there any proper guideline to setup Tensorflow in PyCharm IDE using any of above environment.
I have done Tensorflow setup in PyCharm IDE using anaconda environment. Here is the step by step details:
First install python in your local machine. I used Anaconda3 environment to install Python.
Then install tensorflow within the anaconda environment
Download and install PyCharm IDE from this link.
Open PyCharm IDE and then create a simple test project
Now go to File -> Settings -> Project Interpreter (Under the Project: Test)
Select path form project interpreter and set the path below for tensorflow environment home/user/anaconda3/envs/tensorflow/bin/python
Then apply and OK.
You can now test and work with tensorflow code as well as python code.
Upon trying to install Tensorflow for conda environment, I encountered with the following error message, without any progress:
tensorflow-1.1.0-cp35-cp35mwin_amd64.whl is not a supported wheel on this platform
Have you tried uninstalling and re-installing TensorFlow using pip within your Conda environment? I.e.:
pip uninstall tensorflow
Followed by:
pip install tensorflow
If it doesn't work, the issue may be with your Python installation. TensorFlow only supports 64-bit Python 3.5+ on Windows (see more info here).
Perhaps you have Python's default installation, which comes in a 32-bit version. If that's the case, you can download the 64-bit Python 3.5 or later from here to run in your Conda environment and then you should be able to install/run TensorFlow without any issues.
Make sure that the Python version installed in the Environment is 3.5 not 3.6. Since 3.6 was released Conda automatically sets that version as default for python 3. However, it is still not supported by Tensorflow.
You can work using tensorflow library along with other essential libraries using the Dockerfile. Using Docker for environment are a good way to run experiments in reproducible manner as in this blog
You can also try using datmo in order setup environment and track machine learning projects for making it reproducible using datmo CLI tool.