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truncate-mlperf-inference-accuracy-log

Automatically generated README for this automation recipe: truncate-mlperf-inference-accuracy-log

Category: MLPerf benchmark support

License: Apache 2.0

  • Notes from the authors, contributors and users: README-extra

  • CM meta description for this script: _cm.json

  • Output cached? False

Reuse this script in your project

Install MLCommons CM automation meta-framework

Pull CM repository with this automation recipe (CM script)

cm pull repo mlcommons@cm4mlops

cmr "run mlc mlcommons mlperf inference mlperf-inference truncation truncator truncate accuracy accuracy-log accuracy-log-trancation accuracy-log-truncator mlc-accuracy-log-trancation mlc-accuracy-log-truncator" --help

Run this script

Run this script via CLI
cm run script --tags=run,mlc,mlcommons,mlperf,inference,mlperf-inference,truncation,truncator,truncate,accuracy,accuracy-log,accuracy-log-trancation,accuracy-log-truncator,mlc-accuracy-log-trancation,mlc-accuracy-log-truncator [--input_flags]
Run this script via CLI (alternative)
cmr "run mlc mlcommons mlperf inference mlperf-inference truncation truncator truncate accuracy accuracy-log accuracy-log-trancation accuracy-log-truncator mlc-accuracy-log-trancation mlc-accuracy-log-truncator " [--input_flags]
Run this script from Python
import cmind

r = cmind.access({'action':'run'
              'automation':'script',
              'tags':'run,mlc,mlcommons,mlperf,inference,mlperf-inference,truncation,truncator,truncate,accuracy,accuracy-log,accuracy-log-trancation,accuracy-log-truncator,mlc-accuracy-log-trancation,mlc-accuracy-log-truncator'
              'out':'con',
              ...
              (other input keys for this script)
              ...
             })

if r['return']>0:
    print (r['error'])
Run this script via Docker (beta)
cm docker script "run mlc mlcommons mlperf inference mlperf-inference truncation truncator truncate accuracy accuracy-log accuracy-log-trancation accuracy-log-truncator mlc-accuracy-log-trancation mlc-accuracy-log-truncator" [--input_flags]

Script flags mapped to environment

  • --input=value → CM_MLPERF_INFERENCE_SUBMISSION_DIR=value
  • --submission_dir=value → CM_MLPERF_INFERENCE_SUBMISSION_DIR=value
  • --submitter=value → CM_MLPERF_SUBMITTER=value

Native script being run

No run file exists for Windows

Script output

cmr "run mlc mlcommons mlperf inference mlperf-inference truncation truncator truncate accuracy accuracy-log accuracy-log-trancation accuracy-log-truncator mlc-accuracy-log-trancation mlc-accuracy-log-truncator " [--input_flags] -j