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reproduce-mlperf-training-nvidia

Automatically generated README for this automation recipe: reproduce-mlperf-training-nvidia

Category: Reproduce MLPerf benchmarks

License: Apache 2.0

  • CM meta description for this script: _cm.yaml
  • 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 "reproduce mlcommons mlperf train training nvidia-training nvidia" --help

Run this script

Run this script via CLI
cm run script --tags=reproduce,mlcommons,mlperf,train,training,nvidia-training,nvidia[,variations] [--input_flags]
Run this script via CLI (alternative)
cmr "reproduce mlcommons mlperf train training nvidia-training nvidia [variations]" [--input_flags]
Run this script from Python
import cmind

r = cmind.access({'action':'run'
              'automation':'script',
              'tags':'reproduce,mlcommons,mlperf,train,training,nvidia-training,nvidia'
              'out':'con',
              ...
              (other input keys for this script)
              ...
             })

if r['return']>0:
    print (r['error'])
Run this script via Docker (beta)
cm docker script "reproduce mlcommons mlperf train training nvidia-training nvidia[variations]" [--input_flags]

Variations

  • Group "benchmark"

    Click here to expand this section.

    • _resnet
      • ENV variables:
        • CM_MLPERF_TRAINING_BENCHMARK: resnet

Script flags mapped to environment

  • --results_dir=value → CM_MLPERF_RESULTS_DIR=value
  • --system_conf_name=value → CM_MLPERF_NVIDIA_TRAINING_SYSTEM_CONF_NAME=value

Versions

  • r2.1
  • r3.0

Native script being run

No run file exists for Windows

Script output

cmr "reproduce mlcommons mlperf train training nvidia-training nvidia [variations]" [--input_flags] -j