Skip to main content

No project description provided

Project description

CM interface to run MLPerf inference benchmarks

Install the CM automation framework as described here.

Follow these instructions to run MLPerf inference benchmarks using the CM interface.

Acknowledgments

This project is sponsored by MLCommons, cTuning foundation and cKnowledge.

You can site this automation project using this article:

@misc{fursin2024enabling,
      title={Enabling more efficient and cost-effective AI/ML systems with Collective Mind, virtualized MLOps, MLPerf, Collective Knowledge Playground and reproducible optimization tournaments}, 
      author={Grigori Fursin},
      year={2024},
      eprint={2406.16791},
      archivePrefix={arXiv},
      primaryClass={id='cs.LG' full_name='Machine Learning' is_active=True alt_name=None in_archive='cs' is_general=False description='Papers on all aspects of machine learning research (supervised, unsupervised, reinforcement learning, bandit problems, and so on) including also robustness, explanation, fairness, and methodology. cs.LG is also an appropriate primary category for applications of machine learning methods.'}
}

You can learn more about the MLPerf inference benchmark here.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

cm4mlperf-4.1.0.2.tar.gz (7.4 kB view details)

Uploaded Source

Built Distribution

cm4mlperf-4.1.0.2-py3-none-any.whl (6.1 kB view details)

Uploaded Python 3

File details

Details for the file cm4mlperf-4.1.0.2.tar.gz.

File metadata

  • Download URL: cm4mlperf-4.1.0.2.tar.gz
  • Upload date:
  • Size: 7.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.10.11

File hashes

Hashes for cm4mlperf-4.1.0.2.tar.gz
Algorithm Hash digest
SHA256 a7c6888fba2d040dbb0e44291bb2ea8744bc52ebbd284dc81568629e4d1b8ebf
MD5 bb2b179a1b69ab6c11bdd3b1f6f4abdd
BLAKE2b-256 ba12691ea9e6ae710b3c0d4f340f83cbf8e28fe09aa0dbfd2b34b2728b63ae22

See more details on using hashes here.

File details

Details for the file cm4mlperf-4.1.0.2-py3-none-any.whl.

File metadata

  • Download URL: cm4mlperf-4.1.0.2-py3-none-any.whl
  • Upload date:
  • Size: 6.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.10.11

File hashes

Hashes for cm4mlperf-4.1.0.2-py3-none-any.whl
Algorithm Hash digest
SHA256 2d8f4e85863996e95a7f1e83535f341e85f148536f8fbbcac273ef4fbdb5181f
MD5 065d85b7ffe1ff3a984b9326e8ac3fb6
BLAKE2b-256 06d5f2455a0199115dd31b68facc4f54204b64c6b2f3ac4ae5beeb4c5d6890ac

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page