Releases · quic/aimet

18 Jun 20:39

aimetci

1.16.2

f067e52

version 1.16.2

Release of the AI Model Efficiency toolkit package

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/user_guide/index.html
API documentation: https://quic.github.io/aimet-pages/releases/1.16.2/api_docs/index.html
Documentation main page: https://quic.github.io/aimet-pages/index.html

Assets 16

18 May 23:20

aimetci

1.16.1.py37

94b3827

version 1.16.1.py37

Release of the AI Model Efficiency toolkit package for Python 3.7 environments (such as Google Colab).
User guide: https://quic.github.io/aimet-pages/releases/1.16.1.py37/user_guide/index.html
API documentation: https://quic.github.io/aimet-pages/releases/1.16.1.py37/api_docs/index.html
Documentation main page: https://quic.github.io/aimet-pages/index.html

NOTE: This release has NOT undergone rigorous testing. It has been created only for compatibility with Google Colab. For the most stable release (python 3.6), please see the latest python 3.6 releases (default) at https://github.com/quic/aimet/releases

Assets 16

11 May 21:28

aimetci

1.16.1

38b506e

version 1.16.1

Added separate packages for CPU and GPU models. This allows users with CPU-only hosts to run AIMET.
Added separate packages for PyTorch and TensorFlow. Reduces the number of dependencies that users would need to install.

User guide: https://quic.github.io/aimet-pages/releases/1.16.1/user_guide/index.html
API documentation: https://quic.github.io/aimet-pages/releases/1.16.1/api_docs/index.html
Documentation main page: https://quic.github.io/aimet-pages/index.html

Assets 16