這是本文件的舊版!
Before JetPack 5.1.1
Jetson Orin module to be emulated Flashing command
Jetson AGX Orin 64GB sudo ./flash.sh jetson-agx-orin-devkit mmcblk0p1
Jetson AGX Orin 32GB sudo ./flash.sh jetson-agx-orin-devkit-as-jao-32gb mmcblk0p
Jetson Orin NX 16GB sudo ./flash.sh jetson-agx-orin-devkit-as-nx16gb mmcblk0p1
Jetson Orin NX 8GB sudo ./flash.sh jetson-agx-orin-devkit-as-nx8gb mmcblk0p1
Jetson Orin Nano 8GB* sudo ./flash.sh jetson-agx-orin-devkit-as-nano8gb mmcblk0p1
Jetson Orin Nano 4GB sudo ./flash.sh jetson-agx-orin-devkit-as-nano4gb mmcblk0p1
After JetPack 5.1.2
sudo ./flash.sh jetson-agx-orin-devkit internal
export CROSS_COMPILE_AARCH64_PATH=$HOME/l4t-gcc/ export CROSS_COMPILE_AARCH64=$HOME/l4t-gcc/bin/aarch64-buildroot-linux-gnu- cd ~/workspace/NX/Linux_for_Tegra/source/public mkdir kernel_out ./nvbuild.sh -o $PWD/kernel_out cd ../../ ./fl.sh
git clone https://github.com/JetsonHacksNano/installVSCode.git cd installVSCode ./installVSCode.sh ./installVSCodeWithPython.sh code --> run vscode from console mode
Jetpack 5.x會有無法啟動的問題 安裝後執行以下程式碼即可啟用(參考來源)
code --no-sandbox
search ubuntu SW “chromium”
cat /etc/nv_tegra_release sudo apt update sudo apt dist-upgrade sudo reboot sudo apt install nvidia-jetpack
sudo apt install python3-pip sudo pip3 install jetson-stats sudo systemctl restart jtop.service sudo jtop jetson_release -->命令显示NVIDIA Jetson的状态和所有信息
minicom -D /dev/ttyACM0
Setting AGX ORIN development kit Power mode at the upper right corner MAXN 50W 30W 15W
If you want to run CPU maximum frequency
$sudo jetson_clocks
Using Jetson Power GUI
https://developer.nvidia.com/deepstream-getting-started
https://docs.nvidia.com/metropolis/deepstream/dev-guide/text/DS_Quickstart.html#jetson-setup
/opt/nvidia/deepstream/deepstream-6.3/samples
$ sudo apt install \ libssl1.1 \ libgstreamer1.0-0 \ gstreamer1.0-tools \ gstreamer1.0-plugins-good \ gstreamer1.0-plugins-bad \ gstreamer1.0-plugins-ugly \ gstreamer1.0-libav \ libgstreamer-plugins-base1.0-dev \ libgstrtspserver-1.0-0 \ libjansson4 \ libyaml-cpp-dev
git clone https://github.com/edenhill/librdkafka.git
cd librdkafka git reset --hard 7101c2310341ab3f4675fc565f64f0967e135a6a ./configure make sudo make install
Get deepstream-6.3_6.3.0-1_arm64.deb for Jetson not to download for x86
sudo apt-get install ./deepstream-6.3_6.3.0-1_arm64.deb
sudo mkdir -p /opt/nvidia/deepstream/deepstream-6.3/lib sudo cp /usr/local/lib/librdkafka* /opt/nvidia/deepstream/deepstream-6.3/lib
sudo deepstream-app -c /opt/nvidia/deepstream/deepstream-6.3/samples/configs/deepstream-app/source30_1080p_dec_infer-resnet_tiled_display_int8.txt sudo deepstream-app -c /opt/nvidia/deepstream/deepstream-6.3/samples/configs/deepstream-app/source30_1080p_dec_preprocess_infer-resnet_tiled_display_int8.txt sudo deepstream-app -c /opt/nvidia/deepstream/deepstream-6.3/samples/configs/deepstream-app/source4_1080p_dec_infer-resnet_tracker_sgie_tiled_display_int8.txt XXXX sudo deepstream-app -c /opt/nvidia/deepstream/deepstream-6.3/samples/configs/deepstream-app/source4_1080p_dec_infer-resnet_tracker_sgie_tiled_display_int8_gpu1.txt sudo deepstream-app -c /opt/nvidia/deepstream/deepstream-6.3/samples/configs/deepstream-app/source1_usb_dec_infer_resnet_int8.txt sudo deepstream-app -c /opt/nvidia/deepstream/deepstream-6.3/samples/configs/deepstream-app/source2_1080p_dec_infer-resnet_demux_int8.txt sudo deepstream-app -c /opt/nvidia/deepstream/deepstream-6.3/samples/configs/deepstream-app/source4_1080p_dec_infer-resnet_tracker_sgie_tiled_display_int8.yml sudo deepstream-app -c /opt/nvidia/deepstream/deepstream-6.3/samples/configs/deepstream-app/source30_1080p_dec_infer-resnet_tiled_display_int8.yml sudo deepstream-app -c /opt/nvidia/deepstream/deepstream-6.3/samples/configs/deepstream-app/source4_1080p_dec_preprocess_infer-resnet_preprocess_sgie_tiled_display_int8.txt sudo deepstream-app -c /opt/nvidia/deepstream/deepstream-6.3/samples/configs/deepstream-app/source2_dewarper_test.txt
sudo apt update sudo apt install cuda-toolkit-11-4 sudo apt install stress sudo apt -y install pip sudo apt -y install python3-pip sudo -H pip install -U jetson-stats
compiled jetson-gpu-burn source code
git clone https://github.com/anseeto/jetson-gpu-burn.git cd jetson-gpu-burn make
Using stress to run CPU loading
Using gpu_burn to run GPU loading
running CPU:8 cores
stress -c 8 &
running CPU:12 cores
stress -c 12 &
running GPU maximum loading:
./gpu_burn 1000
/etc/nvfancontrol.conf
FAN_DEFAULT_PROFILE cool
Restart the service
sudo systemctl restart nvfancontrol
Nvidia Power Model Tool to config ID=0 “MAXN”
sudo nvpmodel -m 0(MAXN)/1(15W)/2(30W)/3(50W)
Set static max frequency to CPU, GPU and EMC clocks
sudo jetson_clocks
https://github.com/chitoku/stable-diffusion cd stable-diffusion git checkout jetson ./docker/run.sh python3 scripts/txt2img.py --prompt "Robots marching down a street in Japanese city" --plms
https://github.com/NVIDIA-AI-IOT/jetson_benchmarks
git clone https://github.com/NVIDIA-AI-IOT/jetson_benchmarks.git\\ cd jetson_benchmarks\\ mkdir models\\ sudo sh install_requirements.sh\\ python3 utils/download_models.py --all --csv_file_path ./benchmark_csv/orin-benchmarks.csv --save_dir /home/aopen/jetson_benchmarks/models\\ sudo python3 benchmark.py --all --csv_file_path benchmark_csv/orin-benchmarks.csv --model_dir /home/aopen/jetson_benchmarks/models\\
/home/ubuntu/workspace/dev2725/Linux_for_Tegra/source/public/hardware/nvidia/platform/t23x
sudo ./flash.sh jetson-agx-orin-devkit internal flash.sh # Num 1688 code start & entry jetson-agx-orin-devkit.conf --> Define the DTB & SOM p3701.conf.common --> SOM Define
File Location : Linux_for_Tegra/bootloader/tegra234-mb2-bct-common.dtsi (the MB2 BCT file) Modification: - cvb_eeprom_read_size = <0x100> + cvb_eeprom_read_size = <0x0>
/home/ubuntu/workspace/dev2725o/Linux_for_Tegra/bootloader/t186ref/BCT/tegra234-mb2-bct-scr-p3701-0000.dts /home/ubuntu/workspace/dev2725o/Linux_for_Tegra/bootloader/tegra234-mb2-bct-common.dtsi /home/ubuntu/workspace/dev2725o/Linux_for_Tegra/source/public/hardware/nvidia/platform/t23x/common/kernel-dts/t234-common-cvm/tegra234-cvm-p3701.dtsi --> Serial port /home/ubuntu/workspace/dev2725o/Linux_for_Tegra/source/public/hardware/nvidia/platform/t23x/concord/kernel-dts/tegra234-p3701-0000-p3737-0000.dts --> hdmi / hpd pin /home/ubuntu/workspace/dev2725o/Linux_for_Tegra/bootloader/tegra234-mb2-bct-common.dtsi --> eeprom size 0 /home/ubuntu/workspace/dev2725o/Linux_for_Tegra/bootloader/tegra234-mb1-bct-gpio-p3701-0000-a04.dtsi --> GPIO setting /home/ubuntu/workspace/dev2725o/Linux_for_Tegra/bootloader/t186ref/BCT/tegra234-mb1-bct-pinmux-p3701-0000-a04.dtsi --> pinmux /home/ubuntu/workspace/dev2725o/Linux_for_Tegra/bootloader/t186ref/BCT/tegra234-mb1-bct-padvoltage-p3701-0000-a04.dtsi --> padvoltage /home/ubuntu/workspace/dev2725o/Linux_for_Tegra/p3701.conf.common --> process_chip_sku_version() / ODMDATA LAN /home/ubuntu/workspace/dev2725o/Linux_for_Tegra/p3701.conf.common ODMDATA="gbe-uphy-config-22,hsstp-lane-map-3,nvhs-uphy-config-0,hsio-uphy-config-16,gbe0-enable-10g"; /home/ubuntu/workspace/dev2725o/Linux_for_Tegra/source/public/hardware/nvidia/platform/t23x/concord/kernel-dts/cvb/tegra234-p3737-pcie.dtsi /DonRtest pcie@14180000 { status = "okay"; phys = <&p2u_hsio_0>; phy-names = "p2u-0"; }; /home/ubuntu/workspace/dev2725o/Linux_for_Tegra/source/public/kernel/kernel-5.10/arch/arm64/configs/defconfig # TPM CONFIG_HW_RANDOM_TPM=y CONFIG_ARCH_BCM2835=y CONFIG_HW_RANDOM_BCM2835=m CONFIG_SPI_BCM2835=y CONFIG_SECURITYFS=y CONFIG_TCG_TPM=y CONFIG_TCG_TIS_CORE=y CONFIG_TCG_TIS_SPI=y CONFIG_DEVPORT=y CONFIG_HW_RANDOM=m
xrandr --output HDMI-0 --mode <res> --rate <refresh_rate> ex: xrandr --output HDMI-0 --mode 1280x720 --rate 60