cudaErrorInvalidResourceType (801) cuda type_error ai_generated true

CUDA error: invalid resource type (cudaErrorInvalidResourceType)

ID: cuda/cuda-error-invalid-resource-type

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80%Fix Rate
83%Confidence
1Evidence
2024-09-20First Seen

Version Compatibility

VersionStatusIntroducedDeprecatedNotes
CUDA 12.2 active — — —
CUDA 12.4 active — — —
NVIDIA Driver 550.54.10 active — — —
PyTorch 2.3.0 active — — —
TensorFlow 2.15.0 active — — —

Root Cause

An invalid enum value was passed to a CUDA resource management API (e.g., cudaImportExternalMemory or cudaDestroyExternalSemaphore), often due to a mismatch between host and device pointer types or an out-of-date driver.

generic

中文

向 CUDA 资源管理 API（例如 cudaImportExternalMemory 或 cudaDestroyExternalSemaphore）传递了无效的枚举值，通常是由于主机和设备指针类型不匹配或驱动程序过时。

Official Documentation

https://docs.nvidia.com/cuda/cuda-runtime-api/group__CUDART__TYPES.html

Workarounds

  1. 85% success Update the NVIDIA driver to the latest version (e.g., 550.54.10 or newer) and ensure the CUDA toolkit version matches the driver: `nvidia-smi | grep 'CUDA Version'; sudo apt-get install --only-upgrade nvidia-driver-550` 
    Update the NVIDIA driver to the latest version (e.g., 550.54.10 or newer) and ensure the CUDA toolkit version matches the driver: `nvidia-smi | grep 'CUDA Version'; sudo apt-get install --only-upgrade nvidia-driver-550`
  2. 80% success Verify the resource type enum used in the code matches the CUDA API documentation. For example, when using cudaExternalMemoryHandleDesc, ensure the type field is set to a valid value like cudaExternalMemoryHandleTypeOpaqueFd (1). 
    Verify the resource type enum used in the code matches the CUDA API documentation. For example, when using cudaExternalMemoryHandleDesc, ensure the type field is set to a valid value like cudaExternalMemoryHandleTypeOpaqueFd (1).
  3. 75% success Add a check for driver version compatibility before calling the API: `int driverVersion; cudaDriverGetVersion(&driverVersion); if (driverVersion < 12020) { /* handle older driver */ }` 
    Add a check for driver version compatibility before calling the API: `int driverVersion; cudaDriverGetVersion(&driverVersion); if (driverVersion < 12020) { /* handle older driver */ }`

中文步骤

  1. Update the NVIDIA driver to the latest version (e.g., 550.54.10 or newer) and ensure the CUDA toolkit version matches the driver: `nvidia-smi | grep 'CUDA Version'; sudo apt-get install --only-upgrade nvidia-driver-550`
  2. Verify the resource type enum used in the code matches the CUDA API documentation. For example, when using cudaExternalMemoryHandleDesc, ensure the type field is set to a valid value like cudaExternalMemoryHandleTypeOpaqueFd (1).
  3. Add a check for driver version compatibility before calling the API: `int driverVersion; cudaDriverGetVersion(&driverVersion); if (driverVersion < 12020) { /* handle older driver */ }`

Dead Ends

Common approaches that don't work:

  1. 90% fail

    The error is not related to compute capability but to the resource type enum values; recompilation does not fix mismatched enums.

  2. 95% fail

    Casting only hides the warning; the underlying invalid value still causes the driver to reject the operation.