/usr/bin/ld: /home/cc/libtorch_cu11/lib/libtorch_cuda_cpp.so: undefined reference to `cudaStreamUpdateCaptureDependencies@libcudart.so.11.0' /usr/bin/ld: /home/cc/libtorch_cu11/lib/libtorch_cuda_cpp.so: undefined reference to `cudaStreamGetCaptureInfo_v2@libcudart.so.11.0' collect2: error:...
toTensor(); at::cuda::CUDAStream stream = at::cuda::getCurrentCUDAStream(); AT_CUDA_CHECK(cudaStreamSynchronize(stream)); forward_duration = std::chrono::system_clock::now() - start; msg = gemfield_org::format(" time: %f", forward_duration.count() ); std::cout<<"civilnet->forward...
#include <c10/cuda/CUDAStream.h> #include <ATen/cuda/CUDAEvent.h> #include <iostream> #include <memory> #include <string> #include <cuda_runtime_api.h> using namespace std; static void print_cuda_use( ) { size_t free_byte; size_t total_byte; cudaError_t cuda_status = cudaMemGet...
__host__是CUDA编程定义的声明符,表示该函数在主机上执行或者仅可通过主机调用。 3.2 fromDevice定义 /// Copies a device array's allocation to an address, if necessary template <typename T> inline void fromDevice(T* src, T* dst, size_t num, cudaStream_t stream) { // 如果目标地址和源地址...
torch.cuda.synchronize()start_time=time.time()outputs=civilnet(img)torch.cuda.synchronize()print('gemfield model_time: ',time.time()-start_time) 在C++代码中同理: 代码语言:javascript 代码运行次数:0 运行 AI代码解释 #include<chrono>#include<c10/cuda/CUDAStream.h>#include<ATen/cuda/CUDAContext....
cuda9.0 + cudnn7.0.5 1060-6G 正式开始 与之前实现的任务相同,我这里将libtorch和OpenCV一起编译,使用OpenCV的读取摄像头然后识别当前的手势,模型是我自己训练好的,对于大家来说可以自己随便挑一个模型来使用。 下图为在Visual Studio中使用libtorch和OpenCV来实现判断剪刀石头布手势,运行的平台是cpu端。当然GPU端也...
start_time = time.time()outputs = civilnet(img)torch.cuda.synchronize()print('gemfield model_time: ',time.time()-start_time) 1. 2. 在C++代码中同理: #include <chrono>#include <c10/cuda/CUDAStream.h>#include <ATen/cuda/CUDAContext.h>...start = std::chrono::system_clock::now();out...
(logger) as runtime: self.engine = runtime.deserialize_cuda_engine(f.read()) self.context = self.engine.create_execution_context() self.inputs, self.outputs, self.bindings, self.stream = allocate_buffers(self.engine) self.max_batch_size = self.engine.max_batch_size def load_numpy_input...
Thank you for your reply. I try to use compile my code inVisual Studio 2019with debug version, but its also invalid. The CPU is successful and CUDA is crash. This is my code: #include <iostream> #include "torch/script.h" #include "torch/torch.h" #include "opencv2/opencv.hpp" #inc...
3:结果从显存返回到内存:cudaMemcpyAsync(output.data(), mBinding[bindIndex], mBindingSize[bindIndex], cudaMemcpyDeviceToHost, stream); 4:后处理:vector< float > —>vector< cv::Mat > 1. 2. 3. 4. 5. ) 解决方案:半精度/全精度,显卡型号、显存、CPU型号、CPU线程数和问题本身都没关系。最根本...