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fpgaae's Introduction

Characteristics

Input is a 28x28 mnist image, target: 7, unnormalised

2 layers enc/dec (4 in total)

can be modified as Denoising AE

can be imported to HLS tools (catapult in this case)

-forked from https://github.com/hlslibs/ac_ml

PY model specs

python 3.8.8

torch 1.10.1

torchvision 0.11.2

How to build

-Source the "set_vars" script file to download and build the various open-source components used in these examples.

Example for C-Shell users:

source set_vars.csh

Example for Bourne Shell users:

. set_vars.sh

-To compile and execute the design do: "make all"

-Use "make help" for a list of options

When using HLS software, run the .tcl scripts to synthesize the optimal design. Vivado.tcl if using Vivado HLS, directives.tcl otherwise.

fpgaae's People

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