This document lists general directions of TPU-MLIR, include principal goals, plans, etc. Principal goals# keep regular sync with mlir from project llvm-project. continue maintaining high-quality, well-tested and documented modules. support AI machine learning frameworks: ONNX, TFLite, Caffe. support ...

The video tutorial of TPU-MLIR open-source AI compiler has been synchronously updated on bilibili, Zhihu and CSDN, aiming to let the audience gradually understand the principle and development of AI compiler through a series of courses. Video sharing is mainly based on TPU-MLIR, an open-source toolc ...

Recently, the TPU-MLIR open-source compiler team has welcomed new blood. After multiple selections, five new students from well-known universities at home and abroad were finally shortlisted. They will work with core developers to optimize TPU-MLIR. The development of TPU-MLIR is also in full swing. ...

Recently, SOPHGO opens its AI compiler project TPU-MLIR and synchronizes it to the GitLink platform, becoming the first open-source project based on MLIR in the community. SOPHGO’s AI compiler, which supports ONNX and is highly reusable, has been open sourced#TPU-MLIR is a TPU compiler open-source p ...

In recent years, AI technology represented by deep learning has developed rapidly, and deep neural networks are widely used in all walks of life. SOPHGO open-source TPU compiler builds a bridge between computing hardware and AI framework#Developers can quickly train their AI models using TensorFlow, ...