What are the common CUDA Toolkit error codes?
An example of an AI chatbot conversation about CUDA Toolkit error codes and their meanings.
What are the common CUDA Toolkit error codes?
The common CUDA Toolkit error codes include CUDA_ERROR_OUT_OF_MEMORY, CUDA_ERROR_INVALID_VALUE, and CUDA_ERROR_NOT_INITIALIZED. Would you like to know more about a specific error?
What does CUDA_ERROR_OUT_OF_MEMORY mean?
CUDA_ERROR_OUT_OF_MEMORY indicates that the GPU has run out of memory while trying to allocate resources for a task.
How can I fix the CUDA_ERROR_INVALID_VALUE?
To fix CUDA_ERROR_INVALID_VALUE, check the parameters you are passing to CUDA functions to ensure they are valid and within expected ranges.
Are there any tools to help debug these errors?
Yes, tools like NVIDIA Nsight and CUDA-GDB can help you debug CUDA applications and identify error codes.
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