SonusAI Torchl
PyTorch Lightning model tools for SonusAI.
SonusAI Torchl is a companion project to SonusAI, providing tools and utilities for training, predicting, and exporting deep neural network models using PyTorch Lightning.
Key Features
- Lightning Training: Streamlined training workflows using PyTorch Lightning.
- Model Export: Tools for converting trained models to ONNX and PyTorch AOTInductor (.so) formats.
- Data Loading: Specialized data generators and datasets compatible with SonusAI mixture databases.
- Inference: Prediction tools for running inference on trained Lightning models.
Getting Started
Refer to the Development Guide for installation and setup instructions.
Prerequisites
- Python 3.13+ (Python 3.13 and 3.14 supported)
sonusaiuv
Quick Install
If you have uv installed, you can sync the environment:
uv sync
Documentation
- CLI command catalog: The available
sonusai_torchlcommands and their grammar. - Development Guide: Setup, build, and test instructions.
- Data Formats & Dimensions: Technical specifications for data processing.
- Architecture: Details on the project structure and integration.
Command Overview
sonusai_torchl contributes its commands to the sonusai CLI (and each is runnable directly
as a module). The complete command set and pinned grammar is the CLI command
catalog.
Use sonusai <command> --help (or python -m sonusai_torchl.<command> --help) for detailed information on any command.
Release files for sonusai-torchl 3.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| sonusai_torchl-3.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Release files / sonusai_torchl-3.0.1-py3-none-any.whl
| Download URL | sonusai_torchl-3.0.1-py3-none-any.whl |
|---|---|
| Size | 50.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
bb7d1a94de259640ae105abf3634b7ec615580abb2751ee87b729952a4eadcfc
|
|
BLAKE2b-256 checksum How to use checksums |
b72b83656c792e5909c29fa8a6da7b779f17d9ac2da47d7de6ef2d8a5020425c
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
uv/0.11.28 {"installer":{"name":"uv","version":"0.11.28","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"macOS","version":null,"id":null,"libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}
|
