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。

相关问题

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。

failed to run cuBLAS routine cublasSgemm_v2: CUBLAS_STATUS_EXECUTION_FAILED

This error message indicates that an execution failure occurred while running the cuBLAS routine cublasSgemm_v2. This routine is used for performing matrix-matrix multiplication operations on single precision floating point values.

There are several reasons why this error can occur, including:

1. Insufficient memory: If the GPU does not have enough memory to perform the matrix multiplication operation, this error can occur.

2. Incorrect input data: If the input data provided to the routine is incorrect or corrupted, this error can occur.

3. Hardware failure: If there is a hardware failure with the GPU or the system, this error can occur.

4. Driver issues: If the GPU driver is outdated or not installed correctly, this error can occur.

To fix this error, you can try the following:

1. Check the available memory on the GPU and ensure that there is enough memory to perform the matrix multiplication operation.

2. Verify that the input data is correct and not corrupted.

3. Check for any hardware issues with the GPU or the system.

4. Update or reinstall the GPU driver to ensure that it is installed correctly.

If none of these solutions work, you may need to consult the documentation or seek additional support from the cuBLAS community.