Skip to content

get-dataset-cifar10

Automatically generated README for this automation recipe: get-dataset-cifar10

Category: AI/ML datasets

License: Apache 2.0

  • CM meta description for this script: _cm.json
  • Output cached? True

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 "get dataset cifar10 image-classification validation training" --help

Run this script

Run this script via CLI
cm run script --tags=get,dataset,cifar10,image-classification,validation,training[,variations]
Run this script via CLI (alternative)
cmr "get dataset cifar10 image-classification validation training [variations]"
Run this script from Python
import cmind

r = cmind.access({'action':'run'
              'automation':'script',
              'tags':'get,dataset,cifar10,image-classification,validation,training'
              'out':'con',
              ...
              (other input keys for this script)
              ...
             })

if r['return']>0:
    print (r['error'])
Run this script via Docker (beta)
cm docker script "get dataset cifar10 image-classification validation training[variations]"

Variations

  • No group (any combination of variations can be selected)

    Click here to expand this section.

    • _tiny
      • ENV variables:
        • CM_DATASET_CONVERT_TO_TINYMLPERF: yes

  • Group "data_format"

    Click here to expand this section.

    • _python (default)
      • ENV variables:
        • CM_DATASET: CIFAR10
        • CM_DATASET_FILENAME: cifar-10-python.tar.gz
        • CM_DATASET_FILENAME1: cifar-10-python.tar
        • CM_DATASET_CIFAR10: https://www.cs.toronto.edu/~kriz/cifar-10-python.tar.gz
Default variations

_python

Native script being run

Script output

cmr "get dataset cifar10 image-classification validation training [variations]"  -j