Python’s been the language of data science since before machine learning was trendy, and now you can use it for building AI ...

Using the TensorFlow Lite for Microcontroller (TFLM) framework as a baseline, we tested the effectiveness of TinyTS. We found that TinyTS reduces the peak SRAM memory usage of 9 TinyML models up to ...

The difficulty of deploying various deep learning (DL) models on diverse DL hardware has boosted the research and development of DL compilers in the community. Several DL compilers have been proposed ...

Furthermore, if the installation of pip dependencies fails, directly retrying will enter the compilation process, repeating the inexplicable errors from before. It is necessary to delete the Docker ...

🐛 Describe the bug I was looking at the current integration of compile for transformers repo. One of my main goal was to understand if we can reduce the compile time by moving torch.compile to a ...

Project Overview This project aims to build a deep learning compiler and optimizer infrastructure that can provide automatic scalability and efficiency optimization for distributed and local execution ...