version 1.19.1.py37
Release of the AI Model Efficiency toolkit package
- PyTorch: Added CLE support for Conv1d, ConvTranspose1d and Depthwise Separable Conv1d layers
- PyTorch: Added High-Bias Fold support for Conv1D layer
- PyTorch: Modified Elementwise Concat Op to support any number of tensors
- Minor dependency fixes
User guide: https://quic.github.io/aimet-pages/releases/1.19.1/user_guide/index.html
API documentation: https://quic.github.io/aimet-pages/releases/1.19.1/api_docs/index.html
Documentation main page: https://quic.github.io/aimet-pages/index.html
NOTE: This release is functionally equivalent to the 1.19.1 release (https://github.com/quic/aimet/releases/tag/1.19.1). But it has NOT undergone rigorous testing. It has been created only for compatibility with Google Colab.