This project is supported by OctoML.
package:model-qaic-calibrate (v3.0.0)
Copyright: See copyright in the source repository
License: See license in the source repository
Creation date: 2021-03-20
Source: GitHub
cID: 1dc07ee0f4742028:a131706747c6bf29

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This meta package is our attempt to provide a unified Python API, CLI and JSON meta description for different package managers and building tools to automatically download and install different components (models, data sets, libraries, frameworks, tools) necessary to run portable program pipelines across evolving platforms. Our on-going project is to make the onboarding process as simple as possible via this platform. Please check this CK white paper and don't hesitate to contact us if you have suggestions or feedback!



Profile ONNX or TF models using Glow



ImageNet validation dataset

If you have the ImageNet validation dataset e.g. in /datasets/dataset-imagenet-ilsvrc2012-val, you can register it with CK as follows:

$dollar; echo "full" | ck detect soft:dataset.imagenet.val --extra_tags=full,ilsvrc2012 \


MLPerf ResNet50 ONNX with the first 5 images of ImageNet 2012 (quick test)

$dollar; ck install package --tags=profile,resnet50.onnx,first.5

MLPerf ResNet50 ONNX with calibration option 1

$dollar; ck install package --tags=profile,resnet50.onnx,mlperf.option1

MLPerf ResNet50 TF with calibration option 2

$dollar; ck install package --tags=profile,,mlperf.option2




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