Lenet for Orca

Original code by https://github.com/CerfVert94/lenet_cnn, adapted to RISCV32 and Orca by Alexandre Amory.

Instructions

Do the following steps :

make float
./main

This will run Lenet with pre-trained weights (see float_weight.h) with the images in Data folder. It will also generate a data.h, with the same images, but in 0/1 format.

Then run:

make conv

This will generate the headers weights in short (short_weight.h) and in char (char_weight.h) format.

Finally, run

make short
./main_short

and

make char
./main_char

With short, the inferences will pass, but with char, there will be an inference error in the 2nd image.

Compiling to ORCA

Edit Makefile-Orca to set the variables ORCA_SIM_DIR and ORCA_SW_DIR to point to orca-sim and orca-software-tools. Make sure that orca-sim is compiled to single-core platform.

make -f Makefile-Orca all
mkdir logs

it will generate image.bin. Then run

$ORCA_SIM_DIR/bin/single-core.exe image.bin

These defines in -D_SHORT_WEIGHT_ -DRUN_ORCA in Makefile-Orca-App will generate the short version and without reading files.

After a while (about 3 minutes), check the results

cat logs/core\!.cpu_debug.log
The recognized digit is 0
The recognized digit is 1
The recognized digit is 2
The recognized digit is 3
The recognized digit is 4
The recognized digit is 5
The recognized digit is 6
The recognized digit is 7
The recognized digit is 8
The recognized digit is 9
Success