针对你遇到的 cuda error: cublas_status_execution_failed when calling 'cublasSgemmStridedBatched' 错误,这里有几个可能的解决步骤和检查点,帮助你定位和解决问题: 确认CUDA环境是否正确安装并配置: 确保你的系统上已经安装了正确版本的CUDA Toolkit。 验证CUDA驱动是否与你的GPU
(*args,**kwargs)File"/usr/local/lib/python3.8/dist-packages/transformer_engine/pytorch/attention.py",line242,inforwardcontext_layer=torch.bmm(attention_probs,value_layer.transpose(0,1))RuntimeError:CUDAerror:CUBLAS_STATUS_EXECUTION_FAILEDwhencalling`cublasGemmStridedBatchedExFix(handle, opa, opb...
🐛 Describe the bug I met a problem similar to #94294 when using torch.multiprocessing RuntimeError: CUDA error: CUBLAS_STATUS_EXECUTION_FAILED when calling `cublasGemmEx( handle, opa, opb, m, n, k, &falpha, a, CUDA_R_16BF, lda, b, CUDA_R...
RuntimeError: CUDA error: CUBLAS_STATUS_EXECUTION_FAILED when calling `cublasSgemm( handle, opa, opb, m, n, k, &alpha, a, lda, b, ldb, &beta, c, ldc)` 我的代码在原本环境上是可以运行的,但是到新环境下不可以了,区别是新环境cuda版本更高,是11.7,而我复现的代码requirements中pytorch是torch...
RuntimeError: CUDA error: CUBLAS_STATUS_EXECUTION_FAILED when calling `cublasSgemm( handle, opa, opb, m, n, k, α, a, lda, b, ldb, β, c, ldc)` 数周以来我一直试图解决此错误,但找不到解决方案。如果您在这里看到任何错误,请告诉我。
Fixed an issue that caused an Address out of bounds error when callingcublasSgemm(). We hadcublasSgemm()failing withCUBLAS_STATUS_EXECUTION_FAILEDfor us when built with 10.0 and running on Ampere GPU (3060 Ti). It ran fine on older GPUs (Pascal, Turing). ...
EXECUTION_FAILED0 问题 今天跑了一下程序，报了如下的OOM错误 ResourceExhaustedError: OOM when ...
this答案（上文引用）中解释的一种补救措施是，禁用gpu后，尝试通过在cpu上执行代码（不更改任何行）来...
this答案（上文引用）中解释的一种补救措施是，禁用gpu后，尝试通过在cpu上执行代码（不更改任何行）来...
RuntimeError: CUDA error: CUBLAS_STATUS_EXECUTION_FAILED when callingcublasGemmEx( handle, opa, opb, m, n, k, &falpha, a, CUDA_R_16F, lda, b, CUDA_R_16F, ldb, &fbeta, c, CUDA_R_16F, ldc, CUDA_R_32F, CUBLAS_GEMM_DFALT_TENSOR_OP) ...