failed to run cublas routine: cublas_status_execution_failed

这是一个CUBLAS（CUDA Basic Linear Algebra Subprograms）错误，表示该程序在运行时出现执行失败。通常情况下，该错误是由于算法实现不当、输入数据错误或者其他因素导致的。建议检查代码实现和输入数据，并寻找其他可能的原因。

相关问题

failed to run cuBLAS routine: CUBLAS_STATUS_EXECUTION_FAILED

这个错误通常表示 cuBLAS 操作执行失败，cuBLAS 是 NVIDIA CUDA 平台上的 BLAS 库，用于加速矩阵和向量计算。这可能是由于许多原因引起的，如输入数据的维度不匹配、内存不足、GPU 资源不足等等。建议您检查输入数据的形状和大小是否正确，并确保 GPU 资源充足，例如 GPU 内存和计算能力。您还可以尝试降低 batch size 或调整模型结构以减少计算工作量。如果问题仍然存在，请提供更多上下文信息以获得更准确的答案。

failed to run cuBLAS routine cublasSgemm_v2: CUBLAS_STATUS_EXECUTION_FAILED

This error message indicates that the cuBLAS library failed to execute the sgemm_v2 routine. This could be due to a number of reasons, such as incorrect inputs to the routine, insufficient memory resources, or a hardware issue.

To troubleshoot this issue, you can try the following steps:

1. Check the input parameters: Make sure that the input matrices have the correct dimensions and are properly allocated in memory.

2. Check memory usage: Verify that there is enough memory available for the operation. If there is not enough memory, try reducing the size of the matrices or increasing the available memory.

3. Check hardware: Check the health of your GPU and ensure that it is properly installed and functioning correctly.

4. Update drivers: Make sure that you have the latest drivers installed for your GPU and that they are compatible with the version of cuBLAS you are using.

5. Try a different version of cuBLAS: If none of the above steps work, try using a different version of the cuBLAS library.