Metadata-Version: 2.4
Name: litert-torch
Version: 0.9.0
Summary: Support PyTorch model conversion with LiteRT.
Home-page: https://github.com/google-ai-edge/litert-torch
Keywords: On-Device ML,AI,Google,TFLite,LiteRT,PyTorch,LLMs,GenAI
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Software Development
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Python: >=3.10
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: absl-py
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: safetensors
Requires-Dist: multipledispatch
Requires-Dist: transformers
Requires-Dist: kagglehub
Requires-Dist: tabulate
Requires-Dist: torch<2.12.0,>=2.4.0
Requires-Dist: ai-edge-litert[model-utils]<2.2.0,>=2.1.4
Requires-Dist: ai-edge-quantizer==0.6.*
Requires-Dist: litert-converter==0.1.*
Requires-Dist: torchao
Requires-Dist: jax
Requires-Dist: jaxtyping
Requires-Dist: fire
Requires-Dist: sentencepiece
Requires-Dist: rich
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: keywords
Dynamic: license-file
Dynamic: requires-dist
Dynamic: requires-python
Dynamic: summary

Library that supports converting PyTorch models into a .tflite format, which can
then be run with LiteRT.  This enables applications for
Android, iOS and IOT that can run models completely on-device.

[Install steps](https://github.com/google-ai-edge/litert-torch#installation)
and additional details are in the LiteRT Torch
[GitHub repository](https://github.com/google-ai-edge/litert-torch).
