# 运行时错误：调用cublasSgemm_v2时CUBLAS_STATUS_INVALID_VALUE，句柄=0x0

- **ID:** `cuda/cublas-invalid-handle`
- **领域:** cuda
- **类别:** runtime_error
- **错误码:** `CUBLAS_STATUS_INVALID_VALUE`
- **验证级别:** ai_generated
- **修复率:** 85%

## 根因

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。

## 版本兼容性

| 版本 | 状态 | 引入 | 弃用 |
|------|------|------|------|
| CUDA 11.8 | active | — | — |
| cuBLAS 11.11 | active | — | — |

## 解决方案

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()`.
   ```

## 无效尝试

- **** — Memory tracking is unrelated to handle management. (90% 失败率)
- **** — More workers increase the likelihood of handle misuse. (80% 失败率)