Install Guild AI
- Install Guild AI
- Install TensorFlow
- Install optional libraries
- Verify your installation
- Next steps
Guild AI has the following requirements:
Install Guild AI
To install Guild AI, run the following command:
pip install --user guildai
If you want to install Guild at the system level, omit the
option and run the command as an administrator:
sudo guild install guildai
If you want the latest pre-release version of Guild AI, use the
pip install --pre --user guildai
If you’re using conda, activate your environment:
conda activate ENV-NAME
Next, install Guild using
pip install guildai
Installing Guild with Docker requires that you have Docker installed. Refer to About Docker CE for instructions for your platform.
Docker is the only way to run Guild on Windows at this time.
Guild AI provides a Docker image that you can install by running:
docker pull guildai/guildai
Start an interactive TTY session using the image by running:
docker run -it guildai
From within the container, you can execute Guild commands.
From source code
This step is an alternative to installing Guild AI with pip described above. Install Guild AI from source code if you want a specific version from GitHub (e.g. an early release or development branch) or if you want to contribute to the project.
Additional required tools for installing from source code:
To install Guild from source, clone the repository by running:
git clone https://github.com/guildai/guildai.git
Change to the
guild directory and install the required pip packages:
cd guildai pip install -r requirements.txt
Build Guild by running:
python setup.py build
Verify Guild by running:
If see the message
NOT INSTALLED (No module named 'tensorflow')
that’s okay - you’ll install TensorFlow in the steps below. If you see
other errors, please open an issue on GitHub and we’ll help!
You can run the
GUILD_SOURCE_DIR is the location of your cloned
Guild AI source repository) or modify your environment to make
available on your PATH using one of these methods:
GUILD_SOURCE_DIR/guild/scriptsdirectory to your
PATHenvironment variable, OR
- Create a symlink to
GUILD_SOURCE_DIR/guild/scripts/guildthat is available on your PATH
Guild requires TensorFlow but does not install it for
you. 1 You can use
pip to install TensorFlow by running:
pip install tensorflow
If your system has a GPU, install the GPU enabled package by running:
pip install tensorflow-gpu
For alternative installation methods, refer to Installing TensorFlow.
Install optional libraries
If you system has a GPU or other accelerator supported by TensorFlow, you will need to install and configure support for your hardware.
CUDA and cuDNN
If you have an NVIDIA GPU and and want to use the GPU enabled TensorFlow package, you must install the NVIDIA CUDA and cuDNN libraries for your system. Refer to the links below for help installing the libraries.
NVIDIA System Management Interface
Guild uses NVIDIA System Management Interface (
nvidia‑smi) on GPU
accelerated systems to collect GPU metrics. This tool is optional and
Guild will run without it. However, to collect GPU stats on systems
with one or more GPUs, ensure that
nvidia‑smi is installed.
NVIDIA System Management Interface is typically installed with NVIDIA GPU drivers. Refer to NVIDIA System Management Interface for more information.
Verify your installation
Verify that Guild is installed properly by running the
If there are problems with your installation, Guild will display the details and exit with an error. Refer to Troubleshooting for assistance.
Congratulations, you’ve installed Guild AI! We’ve outlined some next steps for you below.
Start using Guild to train a simple model.Get Started
Browse the docs
If you're interested in a complete picture of Guild AI, browse the comprehensives documentation.Browse the docs
TensorFlow is a rapidly evolving software library and is provided as both CPU and GPU supported packages. Guild leaves the specific package and version of TensorFlow up to the user. ↩