How can I debug CUDA errors in my Python code?
Debugging CUDA errors can be tricky. First, ensure you have the latest drivers and CUDA toolkit installed.
What are some common CUDA error messages I should look out for?
Common CUDA error messages include 'cudaErrorMemoryAllocation' and 'cudaErrorLaunchFailure'. Each indicates specific issues.
How can I use the CUDA debugger to find issues?
You can use tools like cuda-gdb
or Nsight Visual Studio Edition to step through your code and inspect variables.
Are there any best practices for writing CUDA code to avoid errors?
Yes, always check for errors after CUDA API calls, use proper memory management, and optimize kernel launches.
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