importtorchimporttorch.nnasnn# 检查是否有GPU可用,并设置设备device = torch.device("cuda"iftorch.cuda.is_available()else"cpu")print(f"Using device:{device}")# 定义一个简单的卷积层classSimpleConvLayer(nn.Module):def__init__(self):super(SimpleConvLayer, self).__init__() self.conv = nn....
int dev = 0; // 定义device cudaDeviceProp deviceProp; // 定义deviceProp结构体 // CHECK(cudaGetDeviceProperties(&deviceProp, dev)); // 获取deviceProp结构体 cudaGetDeviceProperties(&deviceProp, dev); // 获取deviceProp结构体 printf("Using Device %d: %s\n", dev, deviceProp.name); // CHEC...
Cloud Studio代码运行 classManaged{public:void*operatornew(size_t len){void*ptr;cudaMallocManaged(&ptr,len);cudaDeviceSynchronize();returnptr;}voidoperatordelete(void*ptr){cudaDeviceSynchronize();cudaFree(ptr);}}; 然后,我们可以让String类继承Managed类,并实现一个拷贝构造函数,该拷贝构造函数为需要拷贝...
NVIDIA CUDA-Q is an open-source platform for integrating and programming QPUs, GPUs, and CPUs in one system.
A technology introduced in Kepler-class GPUs and CUDA 5.0, enabling a direct path for communication between the GPU and a third-party peer device on the PCI Express bus when the devices share the same upstream root complex using standard features of PCI Express. This document introduces the tec...
The CUDA Toolkit targets a class of applications whose control part runs as a process on a general purpose computing device, and which use one or more NVIDIA GPUs as coprocessors for accelerating single program, multiple data (SPMD) parallel jobs. Such jobs are self-contained, in the sense ...
# PCI Device ID: 4 # PCI Bus ID: 0 # UUID: GPU-53ffb366-a0f2-a5b0-315a-18d00573d9ba # Watchdog: Disabled # FP32/FP64 Performance Ratio: 32 # Summary: # 1/1 devices are supported # True 原子操作 GPU编程的思想是基于尽可能多地并行执行相同的指令。对于许多可以并行任务,线程之间不...
torch.device(‘cuda’) 与 torch.device(‘cuda:0’)在进行计算时,对于单卡计算机而言,没有任何区别,都是唯一的那一张GPU。其中0表示GPU的索引,表示第几个GPU,在单卡机,只能是torch.device(‘cuda:0’),如果0换成其他数字则会报错越界。 模型可视化 ...
cuCtxGetCurrent(&context);printf("Current context = %p,当前无context\n", context);// cuda runtime是以cuda为基准开发的运行时库// cuda runtime所使用的CUcontext是基于cuDevicePrimaryCtxRetain函数获取的// 即,cuDevicePrimaryCtxRetain会为每个设备关联一个context,通过cuDevicePrimaryCtxRetain函数可以获取到...
#define CUDA_TEST(test_case_name, test_name) \struct CUDA_TEST_FUNCTION_NAME_(test_case_name, test_name) { \__host__ __device__ void operator()(TestTransporter*testTransporter); \}; \__global__ voidCUDA_TEST_CLASS_NAME_(test_case_name, test_name)(CUDA_TEST_FUNCTION_NAME_(test_ca...