You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
GPT-J from Intel - thanks to feedback we are nearly done and have CM automation
GPT-J from Nvidia - re-testing it because of some reports about potential issues
Google submission is under testing
Feel free to report issues or suggest submissions here or via our Discord server.
Suggestions that we may include to the new CM v1.6.1 release before the next meeting:
Substitute current complex docs with a CM GUI
to select implementation, target, model and then generate CM commands
or show the current state with automation and reproducibility
we started prototyping this GUI and will hopefully show it next time.
Develop high-level CM script to run different MLPerf implementations with all models for a given target in sequence similar to SPEC benchmarks (in progress).
Update inference v4.0 READMEs with CM commands to download/detect/install models, datasets and frameworks
Sugestion to restart Automation and Reproducibility TF - contact us if you would like to participate, chair, develop
CM is a collaborative engineering effort based on your feedback -
please don't hesitate to get in touch via our Discord server
or open a ticket here. Thank you!
The text was updated successfully, but these errors were encountered:
Many thanks to MLPerf submitters and MLCommons members for their feedback during the past 2 weeks
to help us improve the MLCommons CM automation for MLPerf inference:
Improvements and extensions to general CM automation recipes
that all submitters can reuse to automate their benchmarking:
Download models
cmr "get ml-model gptj"
cmr "get ml-model stable-diffusion"
cmr --tags=get,ml-model,llama2-70b
Download datasets
cmr "get dataset cnndm _validation"
cmr "get dataset coco2014 _validation"
cmr "get preprocessed dataset openorca _validation"
Detect/install frameworks
cmr "get generic-python-lib _package.onnxruntime" --version_min=1.16.0
cmr "get generic-python-lib _package.torch" --version=2.1.1
cmr "get generic-python-lib _package.torchvision" --version=0.16.2
Continue repeatibility study for v3.1
Feel free to report issues or suggest submissions here or via our Discord server.
Suggestions that we may include to the new CM v1.6.1 release before the next meeting:
to select implementation, target, model and then generate CM commands
or show the current state with automation and reproducibility
Longer term:
CM is a collaborative engineering effort based on your feedback -
please don't hesitate to get in touch via our Discord server
or open a ticket here. Thank you!
The text was updated successfully, but these errors were encountered: