The NEST Compiler (NEST-C) is an open source project led by ETRI, which is based on [GLOW project] (https://github.com/pytorch/glow).
Glow is a machine learning compiler and execution engine for hardware accelerators. It is designed to be used as a backend for high-level machine learning frameworks. The compiler is designed to allow state of the art compiler optimizations and code generation of neural network graphs.
The objective of NEST-C is to generate optimized code for various kinds of Neural-network Processing Uints (NPUs). Therefore, NEST-C provides automatic tuning functionalities and tools for each optimization step.
Optimization modules and tools of NEST-Compiler
- NPU HW backend supporting EVTA series
- Automatic backend parameter tuning (under development)
- Profile-based dyanamic quantization for supporting various NPU backends
- C/C++ code generation for embedded HWs supporting gcc/llvm compilers
- Profile-based graph partitioning
- Installation
- Docker Setting
- Testing and Running
- EVTA
- Quantization
- Profile-based Graph Partitioning
- C/C++ code generator
Contributions to NEST-C are welcomed and encouraged!
NEST-C is licensed under the Apache 2.0 License.