Introduction
Introduction
Status and Features
Setup and Quick Start
Frequently asked questions
Release Notes
Citation, Acknowledgments, and Contributors
User Guide
Concepts
Configuration
Command Line Interface (deprecated)
Saving/Loading hls4ml models
Frontends
Keras and its quantized variants
PyTorch and Brevitas
ONNX and QONNX
Backends
Vivado/Vitis
VivadoAccelerator
oneAPI
Catapult
Quartus
SymbolicExpression
Advanced Features
Profiling
Automatic precision inference
High Granularity Quantization (HGQ2)
Distributed Arithmetic
Model-wise Precision Inference
FIFO Buffer Depth Optimization
Extension API
Spiking Neural Networks (PyTorch/SNN)
Hardware-aware Optimization API
Loading weights from external BRAM
External Backend and Writer Plugins
Internals
Internal representation
ModelGraph Class
MultiModelGraph Class
Optimizer Passes and Flows
Layer attributes
Autogenerated API Reference
hls4ml.backends package
hls4ml.converters package
hls4ml.model package
hls4ml.optimization package
hls4ml.report package
hls4ml.utils package
hls4ml.writer package
hls4ml
hls4ml.contrib package
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hls4ml.contrib package
Submodules
hls4ml.contrib.garnet module
hls4ml.contrib.snntorch module
Module contents