version 1.29.0

aimetci released this 29 Nov 22:00

· 346 commits to develop since this release

What's New

Keras

Fixes issues with TF Op Lambda Layers in Qc Quantize Wrappers call.

PyTorch

[experimental] Support for embedding AIMET encodings within the graph using ONNX quantize/dequantize operators. Currently this option is only supported when using 8bit per-tensor quantization.

ONNX

Added support for Adaround.

TensorFlow

No significant updates

Documentation

Release main page: https://github.com/quic/aimet/releases/tag/1.29.0
Installation guide: https://quic.github.io/aimet-pages/releases/1.29.0/install/index.html
User guide: https://quic.github.io/aimet-pages/releases/1.29.0/user_guide/index.html
API documentation: https://quic.github.io/aimet-pages/releases/1.29.0/api_docs/index.html
Documentation main page: https://quic.github.io/aimet-pages/index.html

Assets 30