version 1.25.0

What's New

Keras

• Added QuantAnalyzer feature
• Adds Batch Normalization folding for Functional Keras Models. This allows the default config files to work for super grouping.
• Resolved an issue with quantizer placement in Sequential blocks in subclassed models

PyTorch

• Added AutoQuant V2 which includes advanced features such as out-of-the-box inference, model preparer, quant scheme search, improved summary report, etc.
• Fixes to resolve minor accuracy diffs in the learnedGrid quantizer for per-channel quantization
• Fixes to improve EfficientNetB4 accuracy w/respect to target
• Fixed rare case where quantizer may calculate incorrect offset when generating QAT 2.0 learned encodings

TensorFlow

• Added QuantAnalyzer feature
• Fixed an accuracy issue due to rare cases where the incorrect BN epsilon was being used
• Fixed an accuracy issue due to Quantsim export incorrectly recomputing QAT2.0 encodings

Common

• Updated AIMET python package version format to support latest pip
• Fixed an issue where not all inputs might be quantized properly

Documentation

• Release main page: https://github.com/quic/aimet/releases/tag/1.25.0
• Installation guide: https://quic.github.io/aimet-pages/releases/1.25.0/install/index.html
• User guide: https://quic.github.io/aimet-pages/releases/1.25.0/user_guide/index.html
• API documentation: https://quic.github.io/aimet-pages/releases/1.25.0/api_docs/index.html
• Documentation main page: https://quic.github.io/aimet-pages/index.html