Image Classification using Mobilenet models
Install MLC following the installation page.
Mobilenet models are not official MLPerf models and so cannot be used for a Closed division MLPerf inference submission. But since they can be run with Imagenet dataset, we are allowed to use them for Open division submission. Only CPU runs are supported now.
TFLite Backend
Mobilenet V1
pip install cmx4mlperf
cr run,mobilenet-models,_tflite,_mobilenet-v1 \
--adr.compiler.tags=gcc
Mobilenet V2
pip install cmx4mlperf
cr run,mobilenet-models,_tflite,_mobilenet-v2 \
--adr.compiler.tags=gcc
Mobilenet V2
pip install cmx4mlperf
cr run,mobilenet-models,_tflite,_mobilenet-v2 \
--adr.compiler.tags=gcc
Mobilenet V1,V2,V3
pip install cmx4mlperf
cr run,mobilenet-models,_tflite,_mobilenet \
--adr.compiler.tags=gcc
Efficientnet
pip install cmx4mlperf
cr run,mobilenet-models,_tflite,_efficientnet \
--adr.compiler.tags=gcc
ARMNN Backend
Mobilenet V1
pip install cmx4mlperf
cr run,mobilenet-models,_tflite,_armnn,_mobilenet-v1 \
--adr.compiler.tags=gcc
Mobilenet V2
pip install cmx4mlperf
cr run,mobilenet-models,_tflite,_armnn,_mobilenet-v2 \
--adr.compiler.tags=gcc
Mobilenet V2
pip install cmx4mlperf
cr run,mobilenet-models,_tflite,_armnn,_mobilenet-v2 \
--adr.compiler.tags=gcc
Mobilenet V1,V2,V3
pip install cmx4mlperf
cr run,mobilenet-models,_tflite,_armnn,_mobilenet \
--adr.compiler.tags=gcc
Efficientnet
pip install cmx4mlperf
cr run,mobilenet-models,_tflite,_armnn,_efficientnet \
--adr.compiler.tags=gcc