Check a prototype of 2nd version of this platform being developed by in collaboration with MLCommons.
docker:image-classification-tflite.ubuntu-18.04 (v3.0.0)
Copyright: See copyright in the source repository
License: See license in the source repository
Creation date: 2019-05-14
Source: GitHub
cID: 88eef0cd8c43b68a:0bf984056859da24

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This CK-powered container is our attempt to provide a common API to customize, build and run AI and ML applications with different models, frameworks, libraries, datasets, compilers, formats, backends and 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!


MLPerf Inference - Image Classification - TFLite (Ubuntu 18.04)

  1. Default image (based on Ubuntu 18.04 latest)

NB: You may need to run commands below with sudo, unless you manage Docker as a non-root user.

Default image


$ docker pull ctuning/image-classification-tflite.ubuntu-18.04


$ ck build docker:image-classification-tflite.ubuntu-18.04

NB: Equivalent to:

$ cd `ck find docker:image-classification-tflite.ubuntu-18.04`
$ docker build -f Dockerfile -t ctuning/image-classification-tflite.ubuntu-18.04 .


Image Classification (default command)

$ ck run docker:image-classification-tflite.ubuntu-18.04

NB: Equivalent to:

$ docker run --rm ctuning/image-classification-tflite.ubuntu-18.04 \
"ck run program:image-classification-tflite --dep_add_tags.weights=mobilenet,non-quantized --env.CK_BATCH_COUNT=2"

Image Classification (custom command)

$ docker run --rm ctuning/image-classification-tflite.ubuntu-18.04 \
"ck run program:image-classification-tflite --dep_add_tags.weights=resnet,no-argmax --env.CK_BATCH_COUNT=10"


$ docker run -it --rm ctuning/image-classification-tflite.ubuntu-18.04 bash




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