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spinalhdl_cnn_accelerator's Introduction

About SpinalHDL_CNN_Accelerator

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中文说明

Implementing accelerator supporting various neural networks in SpinalHDL

  • This repository is implementing common operators in CNN in SpinalHDL 1.7.3.It can be guided by compiler to generate accelerators for various neural networks.
  • This repository aims to implement a general accelerator at the SpinalHDL level and a special accelerator at the Verilog level.
  • This repository implements an Npu module, which can be put into the project,as shown in the figure.

block_design

  • The resource occupation in FPGA is shown in the figure below:

resource.png

Description

This repository hosts a CNN Accelerator implementation written in SpinalHDL. Here are some specs :

  • Easy to use
  • Complete implementation of convolution, quantization and shape
  • Configurable parametric interface
  • Optional convolution kernel type
  • The FPGA resource occupation is optimized at the code level
  • Implementation of rich tool class code
  • Access control of DMA and AXI
  • Automatically generate TCL files for instantiating Xilinx IP
  • Top-level files are easy to run
  • Implementation of the simulation of convolution

RTL code generation

You can find three runnable top modules in:

  • src/main/scala/top.scala
  • src/main/scala/Npu.scala
  • src/test/scala/TbConv.scala

NOTES:

  • It could take time when you run it.
  • top.scala is used to implement convolution.
  • Npu.scala is used to implement complete project process.
  • TbConv.scala is used to implement the simulation of convolution.
  • Before you run the TbConv.scala,you should prepare files with feature and weight in advance.

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spinalhdl_cnn_accelerator's Issues

How to start?

我已经安装了能够运行spinalHDL官方模板的环境,在Intellij上运行,但是我如何运行该加速器?在命令行中使用sbt run 导入依赖库会卡在这一步
[info] set current project to spinal_yolo_dev (in build file:/D:/project/spianl/spianl_CNN_nishuo/SpinalHDL_CNN_Accelerator/)
| => spinalhdl_cnn_accelerator / update 102s

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