Benchmarking dpctl using Airspeed Velocity Read more about ASV here

The benchmarks were made with using an existing environment in-mind before execution. You will see the asv.conf.json is minimal without any environmental information supplied. The expectation is for users to execute asv run with an existing environment.

As such, you should have conda or mamba installed, and create an environment following these instructions Additionally, install asv and libmambapy to the environment.

Then, you may activate the environment and instruct asv run to use this existing environment for the benchmarks by pointing it to the environment's python binary, like so:

conda activate dpctl_env
asv run --environment existing:/full/mamba/path/envs/dpctl_env/bin/python

For level_zero devices, you might see USM Allocation errors unless you use the asv run command with --launch-method spawn

Read ASV's guidelines for writing benchmarks here