Deploying deep neural network (DNN) models on Microcontroller Units (MCUs) is typically limited by the tightness of the SRAM memory budget. Previously, machine learning system frameworks often ...

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 ...

Even if there are errors when installing pip dependencies, such as some packages failing to download, the compilation process continues, leading to inexplicable errors. China's god damn poor network ...

🐛 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 ...