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major update to automate training and benchmarking via MLPerf loadgen with Cognata data set and ABTF model #33

major update to automate training and benchmarking via MLPerf loadgen with Cognata data set and ABTF model

major update to automate training and benchmarking via MLPerf loadgen with Cognata data set and ABTF model #33

Workflow file for this run

name: "cla-bot"
on:
issue_comment:
types: [created]
pull_request_target:
types: [opened,closed,synchronize]
jobs:
cla-check:
runs-on: ubuntu-latest
steps:
- name: "MLCommons CLA bot check"
if: (github.event.comment.body == 'recheck') || github.event_name == 'pull_request_target'
# Alpha Release
uses: mlcommons/cla-bot@master
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
# the below token should have repo scope and must be manually added by you in the repository's secret
PERSONAL_ACCESS_TOKEN : ${{ secrets.MLCOMMONS_BOT_CLA_TOKEN }}
with:
path-to-signatures: 'cla-bot/v1/cla.json'
# branch should not be protected
branch: 'main'
allowlist: user1,bot*
remote-organization-name: mlcommons
remote-repository-name: systems
#below are the optional inputs - If the optional inputs are not given, then default values will be taken
#remote-organization-name: enter the remote organization name where the signatures should be stored (Default is storing the signatures in the same repository)
#remote-repository-name: enter the remote repository name where the signatures should be stored (Default is storing the signatures in the same repository)
#create-file-commit-message: 'For example: Creating file for storing CLA Signatures'
#signed-commit-message: 'For example: $contributorName has signed the CLA in #$pullRequestNo'
#custom-notsigned-prcomment: 'pull request comment with Introductory message to ask new contributors to sign'
#custom-pr-sign-comment: 'The signature to be committed in order to sign the CLA'
#custom-allsigned-prcomment: 'pull request comment when all contributors has signed, defaults to **CLA Assistant Lite bot** All Contributors have signed the CLA.'