cuda-samples VS ros-noetic

installing, building, and running WSL CUDA examples from https://github.com/nvidia/cuda-samples

After which nvcc should be accessible to new sessions, and you can build C++ cuda stuff like cuda-samples. Python packages like pytorch should also see CUDA and be able to use it.

I haven't found any note that these APIs do not support Windows, and it also seems that the memMapIPCDrv CUDA sample supports Windows.

I installed nvidia-cuda-toolkit and tried to build https://github.com/NVIDIA/cuda-samples but I'm getting stupid errors... it installed nvccat /usr/bin/nvcc and the samples expect /usr/local/cuda/bin/nvcc... symlinking it to that location and it dies with

Can build the cuda-samples, then you have a working nvcc.

I have installed cuda and cudnn, and was testing the installation with the cuda-samples, as the Arch Wiki suggested. But, I am not able to get samples like nbody, smokeparticles, Mandelbrot, etc. to run. Although devicequery works fine, and I get the expected output, so I think there is not a problem with my cuda installation.

Hi, I don't have much experience with Nvidia Jetsons. You can find some examples on GitHub (here https://github.com/NVIDIA/cuda-samples). You can find CUDA implementations of most functions on the internet though, you just have to look for the specific thing you are looking for. Cuda kernels are not platform specific, they should work on GPUs and embedded developer boards without problems as long as you respect the limits imposed by the "compute capability" of your device, you just have to compile your code using the right architecture flag. The biggest limit you have to deal with when developing for Jetson nano is the low amount of memory.

—> git clone https://github.com/NVIDIA/cuda-samples.git —> cd cuda-samples/Samples/1_Utilities/deviceQuery/ —> make —> ./deviceQuery (Result=pass?good) —> cd ~/ —> wget https://repo.anaconda.com/archive/Anaconda3-2021.11-Linux-x86_64.sh

is this the source code that u are talking about ? : https://github.com/NVIDIA/cuda-samples ? I dont see any CMakeLists.txt inside...

Check out https://robostack.github.io/. It has distributions of ROS which can be installed on a PinePhone.

Robostack (https://robostack.github.io)

Take a look at robo stack - they distribute ROS through condaforge - https://robostack.github.io/

One could use https://robostack.github.io/ to install ROS tools inside a python environment isolated from the rest of the machine

The Robostack project is packaging ROS core distributions and many third-party ROS packages built against existing conda-forge dependencies as much as possible to make things more convenient for roboticists. That's mostly how I've been using ROS for well over a year now. The virtual env isolation is great, because otherwise robotics code tends to get tied to a specific Linux OS version. Disk space is cheap, I'd rather have the flexibility and a few 4GB environments lying around.