Accelerating Convolution with Tensor Cores in… Multi-GPU Programming with CUDA, GPUDirect,… Accelerating Scientific Computing Applications… Resources Documentation Training Community Get Started Members of the NVIDIA Developer Program get early access to all CUDA library releases and the NVIDIA online bug reporting and feature request system. Join the...
include 目录、编译器定义和编译器选项等信息可以与目标相关联,这样这些信息就可以通过target_link_libraries自动传播给使用者。在 CMake 的早期版本中,构建 CUDA 代码需要命令,比如cuda_add_library。不幸的是,这些命令无法参与使用需求,因此无法使用传播的编译器标志或定义。 CMake 中现在对 CUDA 的内在支持使使用 C...
你可以像往常一样添加一个库 add_library(cudaMatMul cudaMatMul.cu cudaMatMul.h) target_compile_features(cudaMatMul PUBLIC cxx_std_11) 可以链接到普通的c++程序中 add_executable(main main.cc) target_link_libraries(main cudaMatMul) 引入cuda依赖库 如果我们想引入英伟达官方或者第三方的cuda库时,我们也可...
add_library(myplugins SHARED ${PROJECT_SOURCE_DIR}/plugin/yololayer.cu) target_link_libraries(myplugins nvinfer cudart)set(OpenCV_DIR"C:/opencv/build") find_package(OpenCV) include_directories(${OpenCV_INCLUDE_DIRS}) file(GLOB_RECURSE SRCS ${PROJECT_SOURCE_DIR}/src/*.cpp ${PROJECT_SOURCE_DI...
to 3.2) sudo apt-get install software-properties-common sudo add-apt-repository ppa:george-edison55/cmake...-3.x sudo apt-get update When cmake is not yet installed: sudo apt-get install cmake When cmake...sudo apt-get install build-essential wget http://www.cmake.org/files/v3.2/...
TORCH_LIBRARY(add2, m) { m.def("torch_launch_add2", torch_launch_add2); } 最后会在build目录下生成一个libadd2.so,通过如下方式在python端调用: import torch torch.ops.load_library("build/libadd2.so") torch.ops.add2.torch_launch_add2(c, a, b, n) 通过以下命令执行: python run_time...
NVIDIA NPP is a library of functions for performing CUDA accelerated processing. The initial set of functionality in the library focuses on imaging and video processing and is widely applicable for developers in these areas. NPP will evolve over time to encompass more of the compute heavy tasks ...
Not Selected Toolkit: Installed in /usr/local/cuda-9.1 Samples: Installed in /home/will, but missing recommended libraries Please make sure that - PATH includes /usr/local/cuda-9.1/bin - LD_LIBRARY_PATH includes /usr/local/cuda-9.1/lib64, or, add /usr/local/cuda-9.1/lib64 to /etc/ld...
This indicates that the installed NVIDIA CUDA driver is older than the CUDA runtime library. This is not a supported configuration. Users should install an updated NVIDIA display driver to allow the application to run. cudaErrorCallRequiresNewerDriver = 36 This indicates that the API call requir...
Not Selected Toolkit: Installed in /usr/local/cuda-9.1 Samples: Installed in /home/fc, but missing recommended libraries Please make sure that - PATH includes /usr/local/cuda-9.1/bin - LD_LIBRARY_PATH includes /usr/local/cuda-9.1/lib64, or, add /usr/local/cuda-9.1/lib64 to /etc/ld....