docker:image-classification-armnn-tflite.debian-9 (v1.0.0)
Creation date: 2019-05-31
Source: GitHub
cID: 88eef0cd8c43b68a:59c63a4cf4648829

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Description  

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!

ReadMe  

MLPerf Inference - Image Classification - ArmNN-TFLite (Debian 9)

  1. Default image (based on Debian 9 latest)

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

Default image

Download

$ docker pull ctuning/image-classification-armnn-tflite.debian-9

Build

$ ck build docker:image-classification-armnn-tflite.debian-9

NB: Equivalent to:

$ cd `ck find docker:image-classification-armnn-tflite.debian-9`
$ docker build -f Dockerfile -t ctuning/image-classification-armnn-tflite.debian-9 .

Run

Image Classification (default command)

$ ck run docker:image-classification-armnn-tflite.debian-9

NB: Equivalent to:

$ docker run --rm ctuning/image-classification-armnn-tflite.debian-9 \
"ck run armnn-mlperf:program:image-classification-armnn-tflite --dep_add_tags.weights=mobilenet,non-quantized"

Image Classification (custom command)

TFLite
$ docker run --rm ctuning/image-classification-armnn-tflite.debian-9 \
"ck run ck-tensorflow:program:image-classification-tflite --dep_add_tags.weights=resnet,with-argmax --env.CK_BATCH_COUNT=2"
ArmNN-TFLite (using the CPU Reference backend - VERY SLOW)
$ docker run --rm ctuning/image-classification-armnn-tflite.debian-9 \
"ck run armnn-mlperf:program:image-classification-armnn-tflite --dep_add_tags.weights=resnet,no-argmax --env.CK_BATCH_COUNT=2"

Bash

$ docker run -it --rm ctuning/image-classification-armnn-tflite.debian-9 bash

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