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sf-wind edited this page
Oct 16, 2018
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Mobile ML benchmarking at Facebook
MLPerf FAI-PEP Introduction
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Run Quantized MobileNet V2 models in Caffe2 and TFLite
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Work on Power Energy
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How to use
Experiment with docker
Run FAI-PEP for the first time
Meta data file explained
Work with iOS
Work on Power/Energy
Run Imagenet validate dataset
Convert ONNX models to Caffe2 models
Presentations
Contribute
Add a new model
Add a new variant of an existing binary
Add a new binary
Add a new framework
Supported input metric data formats
Json placeholder string explained
Objectives
Design principles
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