Published July 31, 2020
| Version v0.3.0
Software
Open
hls-fpga-machine-learning/hls4ml: v0.3.0
Creators
- 1. CERN
- 2. Fermi National Accelerator Laboratory
- 3. UC San Diego
- 4. HawkEye 360
- 5. University of Illinois at Chicago
- 6. University of Tokyo
- 7. Rhodes College
- 8. Massachusetts Institute of Technology
Description
What's new:
- API expansion:
- Create configuration dictionary from model object
- Run 'C Simulation' from Python with
hls_model.predict(X) - Trace model layer output with
hls_model.trace(X) - Write HLS project, run synthesis flow from Python
- QKeras support: convert models trained using layers and quantizers from QKeras
- Example models moved to separate repo, added as a submodule with an API to retrieve them
- New Softmax implementations
- Minor fixes: weights exported at higher precision, concatenate layer shape corrected
Files
hls4ml-v0.3.0.zip
Files
(300.7 kB)
| Name | Size | Download all |
|---|---|---|
|
md5:9f1930c4ae985bb9c051a045edff983d
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300.7 kB | Preview Download |
Additional details
Related works
- Is supplement to
- https://github.com/hls-fpga-machine-learning/hls4ml/tree/v0.2.0 (URL)