README.md

Installation

Index

• Installing DRP-AI TVM¹ (RZ/V2L, RZ/V2M, RZ/V2MA)
• Installing DRP-AI TVM¹ with Docker (RZ/V2L, RZ/V2M, RZ/V2MA)
• About RZ/V2H, see here.

Requirements

Requirements are listed below.

• OS : Ubuntu 20.04
• Python : 3.8
• Package : git
• Evaluation Board: RZ/V2L EVK, RZ/V2M EVK, RZ/V2MA EVK
• Related Software Version:
  • DRP-AI Translator V1.85 or lator
  • RZ/V2L
    • RZ/V2L AI SDK v5.00
  • RZ/V2M, RZ/V2MA
    • RZ/V Verified Linux Package V3.0.4 or lator
    • DRP-AI Support Package V7.40 or lator RZ/V2L RZ/V2M RZ/V2MA

To install DRP-AI TVM¹ without Docker, see Installing DRP-AI TVM¹.
To install DRP-AI TVM¹ with Docker, see Installing DRP-AI TVM¹ with Docker.

Installing DRP-AI TVM¹ (RZ/V2L, RZ/V2M, RZ/V2MA)

1. Preparation

Before installing DRP-AI TVM¹, please follow the instruction below to install the software listed in Requirements.

Install DRP-AI Translator

Download the DRP-AI Translator from the Software section in DRP-AI and install it by following the User's Manual as shown below.

./DRP-AI_Translator-v*-Linux-x86_64-Install
export TRANSLATOR=${PWD}/drp-ai_translator_release/

Build and install RZ/V Software

RZ/V2L

1. Download the RZ/V2L AI SDK from Renesas Web Page.
2. Unzip SDK.

apt update
apt install -y unzip
unzip RTK0EF0160F0*SJ.zip */poky*sh
chmod a+x ./ai_sdk_setup/poky-glibc-x86_64-core-image-weston-aarch64-smarc-rzv2l-toolchain-*.sh

3. Install SDK.

./ai_sdk_setup/poky-glibc-x86_64-core-image-weston-aarch64-smarc-rzv2l-toolchain-*.sh -y

RZ/V2M, RZ/V2MA

1. Download the DRP-AI Support Package from Renesas Web Page.
   To use the DRP-AI Support Package, Linux Package is required.
   Linux Package can be found in the page of DRP-AI Support Package.

2. Build image/SDK according to the DRP-AI Support Package Release Note to generate following files.

   Name	Filename	Usage
   SDK Installer	poky-*.sh	Used when compiling model and building the application.
   Kernel Image	Image-*.bin	Used when booting kernel on the RZ/V evaluation board.
   Device Tree File	*.dtb	Used when booting kernel on the RZ/V evaluation board.
   Root Filesystem	*.tar.bz2	Used when booting kernel on the RZ/V evaluation board.
   Bootloaders	i.e., .bin, .srec	See Linux Package Release Note for more details. Used when booting the RZ/V evaluation board.

3. Install SDK using poky-*.sh according to the DRP-AI Support Package Release Note.

2. Clone the respository

apt update
apt install -y git
git clone --recursive https://github.com/renesas-rz/rzv_drp-ai_tvm.git drp-ai_tvm

3. Set environment variables

Run the following commands to set environment variables. Note that environment variables must be set every time when opening the terminal.

export TVM_ROOT=$PWD/drp-ai_tvm                   # or path to your own cloned 
export TVM_HOME=${TVM_ROOT}/tvm
export PYTHONPATH=$TVM_HOME/python:${PYTHONPATH}
export SDK=/opt/poky/3.1.31/                      # Your own Linux SDK path.
export PRODUCT=V2L                                # Product name (V2L, V2M, or V2MA)

Please set the values in the table below to the PRODUCT variables according to Renesas Evaluation Board Kit you use.

Renesas Evaluation Board Kit	PRODUCT
RZ/V2L Evaluation Board Kit	V2L
RZ/V2M Evaluation Board Kit	V2M
RZ/V2MA Evaluation Board Kit	V2MA

4. Install the minimal pre-requisites

# Install packagess
apt update
DEBIAN_FRONTEND=noninteractive apt install -y software-properties-common
add-apt-repository ppa:ubuntu-toolchain-r/test
apt update
DEBIAN_FRONTEND=noninteractive apt install -y build-essential cmake \
libomp-dev libgtest-dev libgoogle-glog-dev libtinfo-dev zlib1g-dev libedit-dev \
libxml2-dev llvm-8-dev g++-9 gcc-9 wget

pip3 install decorator attrs scipy numpy==1.23.5 pytest
pip3 install torch==1.8.0 torchvision==0.9.0 --index-url https://download.pytorch.org/whl/cpu
pip3 install tensorflow tflite psutil typing-extensions==4.5.0
pip3 install onnxruntime==1.18.1

# Install onnx runtime
wget https://github.com/microsoft/onnxruntime/releases/download/v1.18.1/onnxruntime-linux-x64-1.18.1.tgz -O /tmp/onnxruntime.tar.gz
tar -xvzf /tmp/onnxruntime.tar.gz -C /tmp/
mv /tmp/onnxruntime-linux-x64-1.18.1/ /opt/

5. Setup DRP-AI TVM¹ environment

cd ${TVM_ROOT}
bash setup/make_drp_env.sh

Installing DRP-AI TVM¹ with Docker (RZ/V2L, RZ/V2M, RZ/V2MA)

1. Preparation

Before installing DRP-AI TVM¹ with Docker, please prepare the following files in the working directory.

• DRP-AI_Translator-v*-Linux-x86_64-Install (DRP-AI Translator installer)
• poky*.sh (SDK installer)

Please refer to the following link for information on how to prepare the SDK installer.

• For RZ/V2L, see 1 and 2 here.
• For RZ/V2M and RZ/V2MA, see 1 and 2 here.

2. Download Dockerfile

wget https://raw.githubusercontent.com/renesas-rz/rzv_drp-ai_tvm/main/Dockerfile

3. Build docker image

docker build -t drp-ai_tvm_v2l_image_${USER} --build-arg PRODUCT="V2L" .
#V2M/MA
#docker build -t drp-ai_tvm_v2m_image_${USER} --build-arg PRODUCT="V2M" .
#docker build -t drp-ai_tvm_v2ma_image_${USER} --build-arg PRODUCT="V2MA" .

Please set the values in the table below to the PRODUCT variables according to Renesas Evaluation Board Kit you use.

Renesas Evaluation Board Kit	PRODUCT
RZ/V2L Evaluation Board Kit	V2L
RZ/V2M Evaluation Board Kit	V2M
RZ/V2MA Evaluation Board Kit	V2MA

4. Run docker image

mkdir data
docker run -it --name drp-ai_tvm_v2l_container_${USER} -v $(pwd)/data:/drp-ai_tvm/data drp-ai_tvm_v2l_image_${USER}

The local $(pwd)/data is mounted to /drp-ai_tvm/data on the Docker container by the above command option.
For example, you can use this directory to copy files created on the Docker container to your local environment.

Footnotes

1. DRP-AI TVM is powered by EdgeCortix MERA™ Compiler Framework. ↩ ↩² ↩³ ↩⁴ ↩⁵ ↩⁶ ↩⁷ ↩⁸ ↩⁹ ↩¹⁰ ↩¹¹