Metadata-Version: 2.1
Name: ai-edge-torch-nightly
Version: 0.3.0.dev20250116
Summary: Supporting PyTorch models with the Google AI Edge TFLite runtime.
Home-page: https://github.com/google-ai-edge/ai-edge-torch
Keywords: On-Device ML,AI,Google,TFLite,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: 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: numpy
Requires-Dist: scipy
Requires-Dist: safetensors
Requires-Dist: tabulate
Requires-Dist: torch>=2.4.0
Requires-Dist: tf-nightly>=2.19.0.dev20241201
Requires-Dist: ai-edge-litert-nightly
Requires-Dist: ai-edge-quantizer-nightly
Requires-Dist: jax
Requires-Dist: torch-xla2[odml]>=0.0.1.dev20241201
Provides-Extra: torch-xla
Requires-Dist: torch-xla>=2.4.0; extra == "torch-xla"

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

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