| | etDeviceCount failed for GPU 0: 'initializati | | | on error', GPU 0: Error using CUDA API cudaDe | | | viceGetByPCIBusId 'initialization error' for | | | GPU 0, bus ID = 00000000:07:00.0 | | Warning | GPU 1: There was an internal error during the | | | test:...
device :设备号 */ cudaError_t CUDARTAPI cudaGetDeviceProperties(struct cudaDeviceProp *prop, int device); 获取指定设备的参数 核函数 基本概念 kernel在device上执行时实际是启动了很多线程。一个kernel所起的所有线程称为一个网格,同一个网格的所有线程共享相同的全局内存空间,grid是线程结构的第一层次。而网...
EmuDebug 模式:"$(CUDA_BIN_PATH)/nvcc.exe" -ccbin "$(VCInstallDir)bin" -deviceemu -c -D_DEBUG -DWIN32 -D_CONSOLE -D_MBCS -Xcompiler /EHsc,/W3,/nologo,/Wp64,/Od,/Zi,/RTC1,/MTd -I"$(CUDA_INC_PATH)" -o $(ConfigurationName)/$(InputName).obj $(InputFileName) 对所有的配置...
}if(i == count) {fprintf(stderr,"There is no device supporting CUDA 1.x.\n");returnfalse; }cudaSetDevice(i);returntrue; }intmain(){if(!InitCUDA()) {return0; }printf("CUDA initialized.\n");return0; } CUDA核函数 完成了CUDA的初始化检查操作,下面我们就可以使用CUDA完成一些简单计算了,...
1 CUDA devices# id 0 b'Tesla T4' [SUPPORTED]# Compute Capability: 7.5# PCI Device ID: 4# PCI Bus ID: 0# UUID: GPU-eaab966c-a15b-15f7-94b1-a2d4932bac5f#
error 160:Device write fault 设备写错误 error 161:Device read fault 设备读错误 error 162:Hardware failure 硬件故障 error 200:Division by zero 被零除 error 201:Range check error 范围检查出错 error 202:Stack overflow error 栈溢出 error 203:Heap overflow error 堆溢出 ...
() RuntimeError: generic_type: cannot initialize type "_CudaDeviceProperties": an object with that name is already defined In [2]: print(torch.__config__.show()) PyTorch built with: - GCC 4.9 - Intel(R) Math Kernel Library Version 2019.0.3 Product Build 20190125 for Intel(R) 64 ...
(device)) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ def _lazy_init(): global _initialized, _queued_calls if is_initialized() or hasattr(_tls, 'is_initializing'): return with _initialization_lock: # We be double...
if ((i+1)%M == 0) cout << endl; } cout << endl; /* ** GPU 计算矩阵相乘 */ // 创建并初始化 CUBLAS 库对象 cublasHandle_t handle; status = cublasCreate(&handle); if (status != CUBLAS_STATUS_SUCCESS) { if (status == CUBLAS_STATUS_NOT_INITIALIZED) { ...
{ fprintf(stderr,"There is no device supporting CUDA.\n"); returnfalse; } cudaSetDevice(i); returntrue; } voidmain() { if(!InitCUDA()) { getchar(); return; } printf("CUDA initialized.\n"); getchar(); } 运行结果如下: