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nncase

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nncase is a neural network compiler for AI accelerators.

nncase 是一个为 AI 加速器设计的神经网络编译器。 技术交流 QQ 群:790699378

Install from binaries

从二进制安装

Download prebuilt binaries from Release.

下载预编译的二进制文件 Release

Build from source

从源码编译

Build from source

Supported operators

支持的算子

Usage

使用方法

Resources

资源


Architecture

架构

nncase arch

Features

  • Supports multiple inputs and outputs and multi-branch structure
  • Static memory allocation, no heap memory acquired
  • Operators fusion and optimizations
  • Support float and quantized uint8 inference
  • Support post quantization from float model with calibration dataset
  • Flat model with zero copy loading

功能

  • 支持多输入输出网络,支持多分支结构
  • 静态内存分配,不需要堆内存
  • 算子合并和优化
  • 支持 float 和量化 uint8 推理
  • 支持训练后量化,使用浮点模型和量化校准集
  • 平坦模型,支持零拷贝加载

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Open deep learning compiler stack for Kendryte K210 AI accelerator

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  • C++ 89.8%
  • Python 6.7%
  • CMake 3.4%
  • Other 0.1%