Dataflow Compiler
A Complete & Scalable Software Toolchain
Hailo devices are accompanied by a comprehensive dataflow compiler that seamlessly integrates with existing deep learning development frameworks to allow smooth and easy integration in existing development ecosystems.
ML Frameworks
Hailo Dataflow Compiler
Model Parser
Model Optimizer
Resource Allocator
Compiler
Emulator
Profiler
Hailo Device
Full deployment flow toolchain capabilities:
- Model Translation from industry-standard frameworks to Hailo executable format
- Model Optimization to the internal representation, using state of the art quantization scheme
- Automated resource allocation for meeting user requirements in FPS, latency, and power consumption
- Compilation of models into Hailo binary by the dedicated deep learning compiler
- Loading binary and running inference on the Hailo target device
- Supports both standalone inference allowing direct access to the device, and Tensorflow-integrated inference for easy integration with existing environments
Analysis and debug tools:
- Emulator providing bit exact emulation of chip behavior
- Profiler providing chip performance estimations (e.g. FPS, power and latency)
Documents marked with a lock icon are available for registered users only. To sign up click here
| Title | File type | Date modified |
|---|---|---|
| Hailo Dataflow Compiler User Guide - HTML | HTML | 30/09/2022 |
| Hailo Dataflow Compiler User Guide v3.20.0 | 30/09/2022 |
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