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ZENODO
Software . 2020
Data sources: Datacite
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ZENODO
Software . 2020
Data sources: ZENODO
Claim

hls-fpga-machine-learning/hls4ml: aster

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 30 Oct 2020Publisher:Zenodo
Authors: vloncar; thesps; Nhan Tran; Ben Kreis; jngadiub; Javier Duarte; Duc Hoang; +7 Authors
Code repository: https://github.com/hls-fpga-machine-learning/hls4ml/tree/v0.4.0

doi: 10.5281/zenodo.4161550

hls-fpga-machine-learning/hls4ml: aster

Abstract

What's new: Support for GarNet layer (see paper) Input layer precision added to config generator utility New 'SkipOptimizers' config option. Now you can run all Optimizers by default (as in v0.3.0) but subtract any specified by 'SkipOptimizers' e.g. hls_config['SkipOptimizers'] = ['fuse_consecutive_batch_normalization'] Print out the latency report from Cosimulation Bugfixes: Fixes related to tensorflow 2.3: new Functional API, changes to handling of Input layer Fix error with config generator utility and activation layers gor granularity='name' Fix issue with reloading of emulation library after configuration change Fix to handling of layers with use_bias=False and merged Dense and BatchNormalization

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