CUBLAS_STATUS_INVALID_VALUE cuda runtime_error ai_generated true

RuntimeError: CUBLAS_STATUS_INVALID_VALUE when calling cublasSgemm_v2 with handle=0x0

ID: cuda/cublas-invalid-handle

Also available as: JSON · Markdown · 中文
85%Fix Rate
83%Confidence
1Evidence
2023-07-22First Seen

Version Compatibility

VersionStatusIntroducedDeprecatedNotes
CUDA 11.8 active — — —
cuBLAS 11.11 active — — —

Root Cause

A null cuBLAS handle (0x0) is passed to a cuBLAS function, typically because the handle was not properly created or was destroyed before the call.

generic

中文

向cuBLAS函数传递了空句柄（0x0），通常是因为句柄未正确创建或在调用前已被销毁。

Official Documentation

https://docs.nvidia.com/cuda/cublas/index.html

Workarounds

  1. 85% success Ensure the cuBLAS handle is created before use. In PyTorch, this is typically managed internally, but if using custom CUDA code, call `cublasCreate(&handle)` and check for errors. For PyTorch, reinitialize the model: `model = Model().cuda()`. 
    Ensure the cuBLAS handle is created before use. In PyTorch, this is typically managed internally, but if using custom CUDA code, call `cublasCreate(&handle)` and check for errors. For PyTorch, reinitialize the model: `model = Model().cuda()`.

中文步骤

  1. Ensure the cuBLAS handle is created before use. In PyTorch, this is typically managed internally, but if using custom CUDA code, call `cublasCreate(&handle)` and check for errors. For PyTorch, reinitialize the model: `model = Model().cuda()`.

Dead Ends

Common approaches that don't work:

  1. 90% fail

    Memory tracking is unrelated to handle management.

  2. 80% fail

    More workers increase the likelihood of handle misuse.