Fold runs under Linux; we have not tested it on other platforms. Python 2.7 and 3.3+ are both supported. We recommend installing using Virtualenv and pip. See here for instructions on installing from sources, if that's how you roll. If you run into trouble, the TensorFlow main site has a list of common problems with some solutions that might be helpful.
Please note that Fold requires TensorFlow 1.0; it is not compatible with earlier versions due to breaking API changes.
First install Python, pip, and Virtualenv:
sudo apt-get install python-pip python-dev python-virtualenv
Create a Virtualenv environment in the directory foo:
virtualenv foo # for Python 2.7
virtualenv -p python3 foo # for Python 3.3+
Activate the environment:
source ./foo/bin/activate # if using bash
source ./foo/bin/activate.csh # if using csh
Install the pip package for TensorFlow. For Python 2.7 CPU-only, this will be:
pip install https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.0.0rc0-cp27-none-linux_x86_64.whl
For Python 3.3+ and/or GPU, see here for the full list of available TF binaries.
Check that TensorFlow can load:
python -c 'import tensorflow'
Install the pip package for Fold. For Python 2.7, this will be:
pip install https://storage.googleapis.com/tensorflow_fold/tensorflow_fold-0.0.1-cp27-none-linux_x86_64.whl
For Python 3.3:
pip install https://storage.googleapis.com/tensorflow_fold/tensorflow_fold-0.0.1-py3-none-linux_x86_64.whl
Check that Fold can load:
python -c 'import tensorflow_fold'
Success!
- try out the quick start notebook
- browse the documentation
- hacks and glory