= cudaSuccess) { std::cerr << "CUDA error: Failed to launch kernel" << std::endl; cudaFree(d_data); return -1; } // 复制数据回主机 cudaMemcpy(h_data, d_data, size * sizeof(int), cudaMemcpyDeviceToHost);
cudaErrorInvalidDeviceFunction = 98,"invalid device function" 一般出现在动态修改函数缓存配置(如cudaFuncSetCacheConfig)、获取函数属性(如cudaFuncGetAttributes)、设置函数属性(如cudaFuncSetAttribute)、启动核函数(如cudaLaunchKernel)等对设备端函数的操作中传参出现了问题。常见的情况有以下三种: 错将设备端变量符...
一般出现在动态修改函数缓存配置(如cudaFuncSetCacheConfig)、获取函数属性(如cudaFuncGetAttributes)、设置函数属性(如cudaFuncSetAttribute)、启动核函数(如cudaLaunchKernel)等对设备端函数的操作中传参出现了问题。常见的情况有以下三种: 1.错将设备端变量符号或声明的变量地址传入API 1double* p = &output;2cudaFun...
2024-03-29 18:28:51,875 xinference.api.restful_api 8 ERROR [address=0.0.0.0:43266, pid=897] CUDA error: invalid argument CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect. For debugging consider passing CUDA_LAUNCH_BLOCKING...
( # Calls into the C++ engine to run the backward pass RuntimeError: CUDA error: invalid argument CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect. For debugging consider passing CUDA_LAUNCH_BLOCKING=1. Compile with `TORCH_...
NVRTC_SAFE_CALL(nvrtcGetLoweredName( prog, kernel_name_vec[i].c_str(), // name expression &name // lowered name )); // get pointer to kernel from loaded PTX CUfunction kernel; CUDA_SAFE_CALL(cuModuleGetFunction(&kernel, module, name)); // launch the kernel std::cout << "\n...
那么后续的任意api的返回值都会是这个错误,都会失败cudaError_t code =cudaPeekAtLastError();if(code != cudaSuccess){constchar* err_name =cudaGetErrorName(code);constchar* err_message =cudaGetErrorString(code);printf("kernel error %s:%d test_print_kernel failed. \n code = %s, message = %s...
cudaErrorInvalidConfiguration = 9 This indicates that a kernel launch is requesting resources that can never be satisfied by the current device. Requesting more shared memory per block than the device supports will trigger this error, as will requesting too many threads or blocks. See cudaDeviceProp...
RuntimeError: mindspore/ccsrc/runtime/device/gpu/http://gpu_kernel_runtime.cc:652LaunchKernelDynamic] Op Error: Launch kernel failed. | Error Number: 0 解答: 日志中报错提及:out of memory, 应该为内存不够: [ERROR] MD(4311,python):.../http://arena.cc:242] Init] cudaHostAlloc failed,...
cudaErrorInvalidFilterSetting = 26 这表明正在使用线性过滤访问非浮动纹理。 CUDA不支持此功能。 cudaErrorInvalidNormSetting = 27 这表明试图读取非浮动纹理作为规范化的浮动。 CUDA不支持此功能。 cudaErrorMixedDeviceExecution = 28 不推荐使用 从CUDA 3.1开始不推荐使用此错误返回。 CUDA 3.1发行版删除了设备仿真...