Installation

We use MLCommons MLC Automation framework to run MLPerf inference benchmarks.

MLC needs git, python3-pip and python3-venv installed on your system. Once the dependencies are installed, do the following

Activate a Virtual ENV for MLCFlow

This step is not mandatory as MLC can use separate virtual environment for MLPerf inference. But the latest pip install requires this or else will need the --break-system-packages flag while installing mlc-scripts.

python3 -m venv mlc
source mlc/bin/activate

Install MLC and pulls any needed repositories

Use the default fork of MLC-Scripts repositoryUse custom fork/branch of the MLC-Scripts repository

 pip install mlc-scripts

 pip install mlcflow && mlc pull repo --url=mlcommons@mlperf-automations --branch=dev

Here, repo is in the format githubUsername@githubRepo or you can give any URL

Now, you are ready to use the mlcr commands to run MLPerf inference as given in the benchmarks page