https://github.com/thunderbottom/tensorflow-binaries
Tensorflow GNU/Linux, MacOS binaries compiled with SSE4.1, SSE4.2 and AVX
https://github.com/thunderbottom/tensorflow-binaries
bazel build macos package python tensorflow wheel
Last synced: 5 months ago
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Tensorflow GNU/Linux, MacOS binaries compiled with SSE4.1, SSE4.2 and AVX
- Host: GitHub
- URL: https://github.com/thunderbottom/tensorflow-binaries
- Owner: Thunderbottom
- Created: 2017-05-25T07:45:46.000Z (over 8 years ago)
- Default Branch: master
- Last Pushed: 2017-08-22T11:06:26.000Z (over 8 years ago)
- Last Synced: 2025-04-02T02:21:35.987Z (9 months ago)
- Topics: bazel, build, macos, package, python, tensorflow, wheel
- Homepage:
- Size: 63 MB
- Stars: 14
- Watchers: 3
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Tensorflow macOS binary
Tensorflow macOS binary, compiled with SSE4.1, SSE4.2 and AVX optimizations.
If you want to compile your own binary for macOS, check out [compiling your own binary](#compiling-your-own-binary)
## Versioning
Latest available tensorflow version: [](https://github.com/tensorflow/tensorflow)
## Getting Started
These instructions will get you a copy of the tensorflow running with SSE4.1, SSE4.2 and AVX enabled for optimizations.
Please **DO NOT** install the following binary if your CPU does not support the above optimizations.
### How do I check for compatibility?
You should get the following warnings while running tensorflow which was downloaded through pip:
```
The TensorFlow library wasn't compiled to use SSE4.1/SSE4.2/AVX instructions,
but these are available on your machine and could speed up CPU computations.
```
If this is not something that you see while executing tensorflow programs, please do not install this binary.
### Installing
Download the binary from the git repository
```
git clone https://github.com/Thunderbottom/Tensorflow-macOS-binary.git
```
Open up your existing virtualenv:
```shell
source /path/to/virtualenv/bin/activate
```
Or create a new one:
```shell
# Make sure you have virtualenv installed
# or install it: pip install virtualenv (Use pip3 if pip is python2)
cd /path/to/whatever && virtualenv whatever
```
Install the downloaded wheel file with pip
```shell
# Use pip3 for python3
pip install filename.whl
# If you have an existing tensorflow installation, it'll be automatically removed and replaced.
```
## Post installation
We need to check if tensorflow was properly installed. To check that, run the following command:
```shell
python3 -c 'import tensorflow as tf; print(tf.__version__)'
```
The output should look somewhat like this:
```
1.3.0
```
## Built With
* [Bazel](https://bazel.build/versions/master/docs/install.html)
* [Xcode CommandLineTools](https://developer.apple.com/xcode/)
## Compiling your own binary
To compile your own version of tensorflow binary, you'll need the following:
python
```shell
brew install python python3
```
pip
```shell
# pip will probably be installed along with python
# if pip is not installed, you may go to
https://pip.pypa.io/en/stable/installing/
```
numpy1.12.1
```shell
pip install numpy
```
wheel
```shell
pip install wheel
```
bazel -
```
https://bazel.build/versions/master/docs/install-os-x.html
```
xcode commandlinetools -
```shell
# Run the following command in terminal
xcode-select install
```
Create a virtualenv -
```shell
# Make sure you have virtualenv installed
# or install it: pip install virtualenv (Use pip3 if pip is python2)
cd /path/to/whatever && virtualenv whatever
```
Open the virtualenv -
```shell
source /path/to/whatever/bin/activate
```
Clone the tensorflow repository -
```shell
# Replace with latest revision branch from repo
git clone https://github.com/tensorflow/tensorflow && cd tensorflow && git checkout
```
Run the configuration file and configure according to your needs -
```shell
./configure
```
After the configuration is complete, we will compile the binary -
```shell
# the following command will enable SSE4.1, SSE4.2 and AVX
bazel build -c opt --copt=-mavx --copt=-msse4.1 --copt=-msse4.2 -k //tensorflow/tools/pip_package:build_pip_package
```
If you wish to tune the flags, or add more compilation flags,
you may do so by adding the following flags before the `-k` flag :
**CUDA** - `--config=cuda`
**AVX2** - `--copt=-mavx2`
**FMA** - `--copt=-mfma --copt=-mfpmath=both`
After the compilation is complete, we will generate the wheel file -
```shell
bazel-bin/tensorflow/tools/pip_package/build_pip_package /tmp/tensorflow_pkg
```
Now, the wheel file will be generated and stored at /tmp/tensorflow_pkg
To install :
```shell
# Use pip3 for python3
pip install /tmp/tensorflow_pkg/filename.whl
```
Check out [post-installation](#post-installation) instructions to check the installed binary