This release is a pre-release and may not be stable for production use.
A package for machine learning inference in FPGAs. We create firmware implementations of machine learning algorithms using high level synthesis language (HLS). We translate traditional open-source machine learning package models into HLS that can be configured for your use-case!
Contact: hls4ml.help@gmail.com
Documentation & Tutorial
For more information visit the webpage: https://fastmachinelearning.org/hls4ml/
Detailed tutorials on how to use hls4ml's various functionalities can be found here.
Installation
pip install hls4ml
To install the extra dependencies for profiling:
pip install hls4ml[profiling]
Getting Started
Creating an HLS project
import hls4ml
#Fetch a keras model from our example repository
#This will download our example model to your working directory and return an example configuration file
config = hls4ml.utils.fetch_example_model('KERAS_3layer.json')
print(config) #You can print the configuration to see some default parameters
#Convert it to a hls project
hls_model = hls4ml.converters.keras_to_hls(config)
# Print full list of example models if you want to explore more
hls4ml.utils.fetch_example_list()
Building a project with Xilinx Vitis (after downloading and installing from here)
#Use Vivado HLS to synthesize the model
#This might take several minutes
hls_model.build()
#Print out the report if you want
hls4ml.report.read_vivado_report('my-hls-test')
Release files for hls4ml 0.5.0b0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| hls4ml-0.5.0b0.tar.gz | 247.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| hls4ml-0.5.0b0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 500.9 kB
Release files / hls4ml-0.5.0b0.tar.gz
| Download URL | hls4ml-0.5.0b0.tar.gz |
|---|---|
| Size | 247.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
Release files / hls4ml-0.5.0b0-py3-none-any.whl
| Download URL | hls4ml-0.5.0b0-py3-none-any.whl |
|---|---|
| Size | 253.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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| Uploaded via |
twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/49.6.0.post20210108 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.7.9
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