The runtimeerror: cuda error: invalid device ordinal can be a little annoying; follow these steps to fix it.
Compute Unified Device Architecture (CUDA) is a parallel computing and programming model developed by NVDIA. It allows developers use the power of NVIDIA. GPU (Graphics Processing Unit) to accelerate application in different fields. It can be used in video processing, deep learning, and scientific computing.
What’s the cause of Runtimeerror: CUDA Error: Invalid Device Ordinal?
There are different reasons for this Runtimeerror:CUDA error: invalid device ordinal. They include:
- The device you want has been removed. Or it is unavailable.
- The error will occur if you use a GPU on a machine that does not have a GPU, or a device that does not have the adequate driver required for this operation, installed in your system.
- You have an invalid device ordinal. Example; CUDA :99 in your code or configuration is invalid.
How to fix Runtimeerror: CUDA Error: Invalid Device Ordinal
There are several ways to fix this error, you have to try them out one by one, hopefully they work for you.
#1. Use the right GPU ID
Every hardware especially GPU and Camera is assigned an ID; A numeric value that starts at zero and goes up depending on how many devices are available. If you have two GPUs, the first one will get zero while the second one will get one as as the ID. If you are specifying the GPU or Camera ID, use the right ID.
Ensure that the device ordinal you use is within the range of the device available on your system. Use CUDAGetDeviceCount() function, 0 is usually the default ID you can use.
#2. Check the training model
Errors can occur if your training model is missing, or any other files that serves as the reference for your model. Place required files in the same directory as the script itself so you can easily call it when you run the Program.
Other steps you can take includes;
- Install the latest version of CUDA driver on your system. Make sure it is properly installed.
- Check if another process is using the device on your system, or if it has been removed. If that is the case, use a different device or modify the code to run on your CPU.
- Install a CUDA runtime library that is compatible with the version of the CUDA driver you are using. Make sure it is installed properly.
- Install a CPU with the necessary drivers or use a different machine with a GPU.
Hopefully, these few troubleshooting steps will help you fix the runtimeerror: cuda error: invalid device ordinal.
