Installation¶
Requirements¶
python 2.7orpython >= 3.4numpy >= 1.11.0nengo >= 2.3.1tensorflow >= 1.0.0
Installing NengoDL¶
To install NengoDL, we recommend using pip:
pip install nengo_dl
pip will do its best to install all of NengoDL’s requirements when it
installs NengoDL. However, if anything goes wrong during this process, you
can install the requirements manually before doing
pip install nengo_dl again. See the
Nengo documentation
for instructions on installing numpy and nengo, and the tensorflow
installation instructions below.
Developer installation¶
If you want to modify NengoDL, or get the very latest updates, you will need to perform a developer installation:
git clone https://github.com/nengo/nengo_dl.git
cd nengo_dl
python setup.py develop --user
If you are in a virtual environment (recommended), you can omit the --user
flag.
Installing TensorFlow¶
Use pip install tensorflow to install the minimal version of TensorFlow,
or pip install tensorflow-gpu to include GPU support.
It is also possible to install TensorFlow from source. This is significantly more complicated but allows you to customize the installation to your computer, which can improve simulation speeds.