OpenVINOのDeep Learning Workbench

@Vengineerの戯言 : Twitter
SystemVerilogの世界へようこそ、すべては、SystemC v0.9公開から始まった

Release Notes for Intel® Distribution of OpenVINO™ toolkit 2019のupdated July 24, 2019にて、

　・Added Deep Learning Workbench Profiler for neural network topologies and layers

　・Added new non-vision topologies: GNMT, BERT, TDNN (NNet3), ESPNet

　・Introduced new Inference Engine Core APIs. Core APIs automate direct mapping to devices, 
    provide Query API for configuration and metrics to determine best deployment platform.

　・Added Multi Device Inference with automatic load-balancing across available devices for higher throughput.

　・Serialized FP16 Intermediate Representation to work uniformly across all platforms 
　　to reduce model size by 2x compared to FP32, improve utilization of device memory and portability of models.

　・Model Optimizer

　　Renamed Intel® experimental layer Quantize to FakeQuantize 
　　and ONNX Intel® experimental operator Quantize to FakeQuantize.

　・Multi-Device plugin
　　Automatic inference load-balancing between multiple devices

などなど。。。

Deep Learning Workbench

ブラウザベースのプロファイラなんだね。。。