Set up a Cerebras virtual environment#
Before you launch your first job in the Cerebras Wafer-Scale cluster, create a Python virtual environment to install Cerebras’s software dependencies. You need to create the virtual environment only once for every release.
Prerequisites#
Python version#
Use Python 3.8 to set up your environment.
Create a Cerebras virtual environment#
1. Create your Python virtual environment. It can also be pre-configured by a system administrator and could have a different name. For demonstration purposes, let’s create a virtual environment named venv_cerebras_pt using the following command:
/opt/python3.8/bin/python3.8 -m venv venv_cerebras_pt
2. Install the cerebras_pytorch package using the following commands:
source venv_cerebras_pt/bin/activate
Note that now you should be in the (venv_cerebras_pt) environment.
pip install --upgrade pip
pip install cerebras_pytorch==2.0.2
Validate the set up#
To ensure that your Cerebras PyTorch python package was installed correctly in your environment, we offer you a utility called cerebras_install_check.
Use this utility to verify the deployed versions of the appliance software are compatible by issuing the following command:
source venv_cerebras_pt/bin/activate
Note that now you should be in the (venv_cerebras_pt) environment.
cerebras_install_check