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Thorough Efficient Training-Inference Reconfigurable Infrastructure System

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This is a full-stack hardware and software platform for machine learning tasks.

TETris is divided into three parts, front-end middle-end and back-end. Each component is decoupled from the other and inserted into this system. Here is a continuously updated list of optional sub-projects as follows.

sub-project Type discription
Model_zoo Frontend
Transformer Frontend
RVCC Midend
Buddy-MLIR Midend
RV64_CPU Backend
RVV_GPGPU Backend
ml-accelerator Backend

Quick Start

Execute the init.sh script to initialize the corresponding repository

bash ./init.sh $Type $subproject_name

Example: bash ./init.sh Frontend Transformer

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