CUDA (Compute Unified Device Architecture) is a parallel computing platform and programming model developed by NVIDIA that allows developers to use the power of NVIDIA graphics processing units (GPUs) to accelerate applications in fields such as video processing, deep learning, and scientific computing.
RuntimeError: cuda error: invalid device ordinal
3 main reasons why RuntimeError: cuda error: invalid device ordinal error occurs.
- The device you are trying to use has been either removed or is unavailable.
- You are trying to use a GPU on a machine that does not have a GPU or does not have the required drivers installed.
- You have defined an invalid device ordinal (e.g., cuda:99) in your code or configuration.
How to fix RuntimeError: cuda error: invalid device ordinal
The best way to fix RuntimeError: cuda error: invalid device ordinal error is by ensuring that the device ordinal you use is within the range of available devices on your system. You can check the number of available devices using the cudaGetDeviceCount() function.
If you still face this issue, try the following solutions one by one.
- Ensure you have the latest version of the CUDA driver installed on your system and that it is properly installed.
- Check if the device has been removed from the system or if another process is using it. If the device you try to use has been removed or is unavailable, you must use a different device or modify your code to run on the CPU.
- Ensure that the CUDA runtime library is properly installed and compatible with the version of the CUDA driver you are using.
- Make sure you install a GPU and the necessary drivers or use a different machine with a GPU.
Try all these solutions individually and check if the issue is resolved.
The RuntimeError: cuda error: invalid device ordinal occurs when you try to use a CUDA device that does not exist or is unavailable.
Fix the error by ensuring that the device ordinal you use is within the range of available devices on your system.
That’s it for this post.