Installing CUDA on Jetson (Manual Installation)

get_jetpack_main.bash

#!/bin/bash

# For latest CUDA 9.0
wget http://developer.download.nvidia.com/devzone/devcenter/mobile/jetpack_l4t/3.2GA/m892ki/JetPackL4T_32_b196/cuda-repo-l4t-9-0-local_9.0.252-1_arm64.deb

# For latest CUDNN 7.0.5
wget http://developer.download.nvidia.com/devzone/devcenter/mobile/jetpack_l4t/3.2GA/m892ki/JetPackL4T_32_b196/libcudnn7_7.0.5.13-1+cuda9.0_arm64.deb
wget http://developer.download.nvidia.com/devzone/devcenter/mobile/jetpack_l4t/3.2GA/m892ki/JetPackL4T_32_b196/libcudnn7-dev_7.0.5.13-1+cuda9.0_arm64.deb
wget http://developer.download.nvidia.com/devzone/devcenter/mobile/jetpack_l4t/3.2GA/m892ki/JetPackL4T_32_b196/libcudnn7-doc_7.0.5.13-1+cuda9.0_arm64.deb

# For latest OpenCV 3.3.1
wget http://developer.download.nvidia.com/devzone/devcenter/mobile/jetpack_l4t/3.2GA/m892ki/JetPackL4T_32_b196/libopencv_3.3.1_t210_arm64.deb
wget http://developer.download.nvidia.com/devzone/devcenter/mobile/jetpack_l4t/3.2GA/m892ki/JetPackL4T_32_b196/libopencv-dev_3.3.1_t210_arm64.deb
wget http://developer.download.nvidia.com/devzone/devcenter/mobile/jetpack_l4t/3.2GA/m892ki/JetPackL4T_32_b196/libopencv-python_3.3.1_t210_arm64.deb
wget http://developer.download.nvidia.com/devzone/devcenter/mobile/jetpack_l4t/3.2GA/m892ki/JetPackL4T_32_b196/libopencv-samples_3.3.1_t210_arm64.deb

# For host machine CUDA 9.0
wget http://developer.download.nvidia.com/devzone/devcenter/mobile/jetpack_l4t/3.2/pwv346/JetPackL4T_32_b157/cuda-repo-ubuntu1604-9-0-local_9.0.252-1_amd64.deb

# For host machine OpenCV 3.3.1
wget http://developer.download.nvidia.com/devzone/devcenter/mobile/jetpack_l4t/3.2/pwv346/JetPackL4T_32_b157/libopencv_3.3.1_amd64.deb
wget http://developer.download.nvidia.com/devzone/devcenter/mobile/jetpack_l4t/3.2/pwv346/JetPackL4T_32_b157/libopencv-dev_3.3.1_amd64.deb
wget http://developer.download.nvidia.com/devzone/devcenter/mobile/jetpack_l4t/3.2/pwv346/JetPackL4T_32_b157/libopencv-python_3.3.1_amd64.deb
wget http://developer.download.nvidia.com/devzone/devcenter/mobile/jetpack_l4t/3.2/pwv346/JetPackL4T_32_b157/libopencv-samples_3.3.1_amd64.deb

setup_cuda_tx2.sh

#!/bin/bash
# Setup CUDA 8.0 on TX2

# Step 1: Download Jetpack from https://developer.nvidia.com/embedded/jetpack

# Step 2: Extract contents of installer
bash JetPack-L4T-3.1-linux-x64.run --noexec

# Step 3: Run Chooser to generate a repository.json file
./Chooser

# Step 4: Inside the JSON file, you will find the link to a debian installer of arm64 cuda!
# -- Download said version of CUDA
wget http://developer.download.nvidia.com/devzone/devcenter/mobile/jetpack_l4t/006/linux-x64/cuda-repo-l4t-8-0-local_8.0.34-1_arm64.deb

# Step 5: Install CUDA 8.0 using dpkg -i
sudo dpkg -i cuda-repo-l4t-8-0-local_8.0.34-1_arm64.deb
sudo apt update
sudo apt search cuda 

# Step 6: You should see cuda-toolkit-8.0 and a bunch of other related libraries
sudo apt install cuda-toolkit-8.0

# Step 7: You can also install the CUDA Samples to sanity check your installer
sudo apt install cuda-samples-8.0

# Step 8: Export PATH and LD_LIBRARY variables
export PATH=/usr/local/cuda-8.0/bin${PATH:+:${PATH}}
export LD_LIBRARY_PATH=/usr/local/cuda-8.0/lib64${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}} 

# Step 9: Install CUDA Samples
# -- go to directory in which you want to install samples and run,
cuda-install-samples-8.0.sh .

# Step 10: Run deviceQuery
cd NVIDIA_CUDA-8.0_Samples/1_Utilities/deviceQuery/
make 
./deviceQuery

# You should see Result = PASS

# Other: CUDNN 5.1
wget http://developer.download.nvidia.com/devzone/devcenter/mobile/jetpack_l4t/006/linux-x64/cuDNN-v5.1.zip

# Other: OpenCV 2.4
wget http://developer.download.nvidia.com/devzone/devcenter/mobile/jetpack_l4t/006/linux-x64/libopencv4tegra-repo_2.4.13-17-g5317135_arm64_l4t-r24.deb

# Check your CUDA and CUDNN installation
ldconfig -p | grep cu and grep dnn

# Check your OpenCV installation
dpkg --list | grep opencv

haha thank you. I am using balena to control devices remotely and turns out balena replaces the regular jetpack with its balena OS what makes everything harder!