CUDA sample program execution error "CUPTI_ERROR_NOT_INITIALIZED" After downloading the sample from the git hub, I am not getting the above error. But now I am getting different error of driver version mismatch,
先是显示RuntimeError: CUDA error: no kernel image is available for execution on the device,网上查了一圈都说是当前显卡的算力太低,不支持高版本的 CUDA。 看了一眼显卡:3090;看了一眼 CUDA:11.1,都没问题。而且之前用 pytorch 也没出现这种问题。 往上翻了一下训练途中的 warning,看到一句: GeForce RT...
简介:【已解决】RuntimeError: CuDA error: no kernel image is available for execution on the device 问题:根本原因是之前装的cuda和torch版本和显卡不适配(开始以为4090可以兼容很多版本就没管) 解决方法:卸载之前的cuda和torch,找到适配的cuda和troch版本,安装--然后就没问题了。 我的配置 GPU 10张4090 CUDA...
6.4. Error Handling 6.5. Stream Management 6.6. Event Management 6.7. External Resource Interoperability 6.8. Execution Control 6.9. Execution Control [DEPRECATED] 6.10. Occupancy 6.11. Memory Management 6.12. Memory Management [DEPRECATED] 6.13. Stream Ordered Memory Allocator 6.14. Unifi...
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...
If set, each kernel launched as part of cuLaunchCooperativeKernelMultiDevice only waits for prior work in the stream corresponding to that GPU to complete before the kernel begins execution. #define CUDA_EGL_INFINITE_TIMEOUT 0xFFFFFFFF Indicates that timeout for cuEGLStreamConsumerAcquireFrame is...
【tensorrt】——flask部署tensorrt报错:[TensorRT] ERROR: CUDA cask failure at execution for trt_maxwell_scudn,
Processing takes a long time and only CPU is used in the display: In the log file also appears the error entry "Failed to create CUDAExecutionProvider". in PyTorch GPU works as expected. I can see that both in the processing speed and in the load on VRAM. ...
RuntimeError:仅使用GPU调用` `cublasSgemm( handle)`时出现CUDA错误: CUBLAS_STATUS_EXECUTION_FAILED0 ...
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) ...