Click here to see the table of contents.

• Description
• Information
• Usage
  • CM installation
  • CM script automation help
  • CM CLI
  • CM Python API
  • CM GUI
  • CM modular Docker container
• Customization
  • Variations
  • Default environment
• Script workflow, dependencies and native scripts
• Script output
• New environment keys (filter)
• New environment keys auto-detected from customize
• Maintainers

Note that this README is automatically generated - don't edit! See more info.

Description

See more info.

Information

• Category: Modular ML/AI applications.
• CM GitHub repository: mlcommons@ck
• GitHub directory for this script: GitHub
• CM meta description for this script: _cm.json
• CM "database" tags to find this script: app,image-classification,torch,python
• Output cached?: False

---

Usage

CM installation

Guide

CM pull repository

cm pull repo mlcommons@ck

CM script automation help

cm run script --help

CM CLI

1. cm run script --tags=app,image-classification,torch,python[,variations]

2. cm run script "app image-classification torch python[,variations]"

3. cm run script e3986ae887b84ca8

• variations can be seen here

• input_flags can be seen here

CM Python API

Click here to expand this section.

import cmind

r = cmind.access({'action':'run'
                  'automation':'script',
                  'tags':'app,image-classification,torch,python'
                  'out':'con',
                  ...
                  (other input keys for this script)
                  ...
                 })

if r['return']>0:
    print (r['error'])

CM GUI

cm run script --tags=gui --script="app,image-classification,torch,python"

Use this online GUI to generate CM CMD.

CM modular Docker container

TBD

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Customization

Variations

• No group (any variation can be selected)

  Click here to expand this section.

  • _cuda
    • Environment variables:
      • USE_CUDA: yes
    • Workflow:
      1. Read "deps" on other CM scripts
         • get,cuda
           • CM script: get-cuda

Default environment

Click here to expand this section.

These keys can be updated via --env.KEY=VALUE or env dictionary in @input.json or using script flags.

• CM_BATCH_COUNT: 1
• CM_BATCH_SIZE: 1

---

Script workflow, dependencies and native scripts

Click here to expand this section.

1. Read "deps" on other CM scripts from meta
   • detect,os
     • CM script: detect-os
   • get,sys-utils-cm
     • CM script: get-sys-utils-cm
   • get,python3
     • CM names: --adr.['python', 'python3']...
     • CM script: get-python3
   • get,dataset,imagenet,image-classification,preprocessed
     • CM script: get-preprocessed-dataset-imagenet
   • get,dataset-aux,imagenet-aux,image-classification
     • CM script: get-dataset-imagenet-aux
   • get,imagenet-helper
     • CM script: get-dataset-imagenet-helper
   • get,ml-model,image-classification,resnet50,_pytorch,_fp32
     • CM script: get-ml-model-resnet50
     • CM script: get-ml-model-resnet50-tvm
   • get,generic-python-lib,_torch
     • if (USE_CUDA != yes)
     • CM script: get-generic-python-lib
   • get,generic-python-lib,_torch_cuda
     • if (USE_CUDA == yes)
     • CM script: get-generic-python-lib
   • get,generic-python-lib,_torchvision
     • if (USE_CUDA != yes)
     • CM script: get-generic-python-lib
   • get,generic-python-lib,_torchvision_cuda
     • if (USE_CUDA == yes)
     • CM script: get-generic-python-lib
2. Run "preprocess" function from customize.py
3. Read "prehook_deps" on other CM scripts from meta
4. Run native script if exists
   • run.bat
   • run.sh
5. Read "posthook_deps" on other CM scripts from meta
6. Run "postrocess" function from customize.py
7. Read "post_deps" on other CM scripts from meta

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Script output

New environment keys (filter)

New environment keys auto-detected from customize

---

Maintainers

• Open MLCommons taskforce on automation and reproducibility