The latest LPOT release is v1.3 (April 2021).
View new feature information and release downloads for the latest and previous releases on GitHub. Validated configurations and distribution sites are located here as well:
Contact lpot.maintainers@intel.com if you need additional assistance.
The MSE tuning strategy does not work with the PyTorch adaptor layer. This strategy requires a comparison between the FP32 and INT8 tensors to decide which op impacts the final quantization accuracy. The PyTorch adaptor layer does not implement this inspect tensor interface. Therefore, do not choose the MSE tuning strategy for PyTorch models.
LPOT v1.2 introduces incompatible changes in user facing APIs. Please refer to incompatible changes to know which incompatible changes are made in v1.2.
LPOT v1.2.1 solves this backward compatible issues introduced in v1.2 by moving new user facing APIs to lpot.experimental package and keep old one as is. Please refer to API documentation to know the details of user-facing APIs.