version 1.16.2.py37
Release of the AI Model Efficiency toolkit package for Python 3.7 environments (such as Google Colab).
Release notes:
- Added a new post-training quantization feature called AdaRound, which stands for AdaptiveRounding
- Quantization simulation and QAT now also support recurrent layers (RNN, LSTM, GRU)
User guide: https://quic.github.io/aimet-pages/releases/1.16.2.py37/user_guide/index.html
API documentation: https://quic.github.io/aimet-pages/releases/1.16.2.py37/api_docs/index.html
Documentation main page: https://quic.github.io/aimet-pages/index.html
NOTE: This release is functionally equivalent to the 1.16.2 release (https://github.com/quic/aimet/releases/tag/1.16.2). But it has NOT undergone rigorous testing. It has been created only for compatibility with Google Colab.