代码语言:javascript 代码运行次数:0 运行 AI代码解释 #pragma once #include<Python.h>#include<ATen/ATen.h>#include<pybind11/pybind11.h>#include<torch/csrc/THP_export.h>#include<torch/csrc/utils/pybind.h>namespace torch{// NOTE: This API is currently highly experimental and may change drastical...
设置环境变量并通过 PATH 环境变量添加 CMake 工具路径后,可以执行示例脚本utils/build.sh(适用于 Linux)或utils/build.bat(适用于 Windows)。此脚本将使用构建目录“build”来构建示例,然后将它们安装在“install”目录中。 如果选择使用Visual Studio及其集成的 CMake 支持进行构建,则只需运行“Build All”和“Inst...
test.cpp squaresum.cu utils.cu)#target_link_libraries(squaresum utils) test.cpp #include <iostream>#include"squaresum.h"//extern "C" int squaresum();intmain(){ squaresum();return0; } squaresum.h #include"utils.h"#include<cuda_runtime.h>extern"C"{intsquaresum(); } squaresum.cu #...
cudaImage.h cudaSiftH.cu cudaSiftH.h matching.cu cudaSiftD.h cudaSift.h cudautils.h ) set(sources geomFuncs.cpp mainSift.cpp ) include_directories( ${CMAKE_CURRENT_SOURCE_DIR} ) #SET(CUDA_SEPARABLE_COMPILATION ON) cuda_add_executable(cudasift ${cuda_sources} ${sources}...
执行/usr/local/cuda/extras/demo_suite/bandwidthTest,应该有以下类似输出: [CUDA Bandwidth Test] - Starting... Running on... Device 0: NVIDIA GeForce RTX 3070 Laptop GPU Quick Mode Host to Device Bandwidth, 1 Device(s) PINNED Memory Transfers Transfer Size (Bytes) Bandwidth(MB/s) 33554432 12...
{Python_EXECUTABLE} -c "import torch.utils; print(torch.utils.cmake_prefix_path)" OUTPUT_STRIP_TRAILING_WHITESPACE OUTPUT_VARIABLE DCMAKE_PREFIX_PATH) set(CMAKE_PREFIX_PATH "${DCMAKE_PREFIX_PATH}") find_package(Torch REQUIRED) find_library(TORCH_PYTHON_LIBRARY torch_python PATHS "${TORCH_...
void ball_query_kernel_launcher_cuda(int b, int n, int m, float radius, int nsample, \ const float *new_xyz, const float *xyz, int *idx) { // cudaError_t变量用来记录CUDA的err信息,在最后需要check cudaError_t err; // divup定义在cuda_utils.h,DIVUP(m, t)相当于把m个点平均划分...
将sampleUffSSD移植到ROS需要使用C++&CUDA混编。ssd_node.cpp是ROS节点,ssd_nodelet.cpp又将其封装为nodelet,核心部分主要在trt_infer.cu中。我们还需要common.h这个samples使用的头文件。而utils.h头文件则包含了输入图像的预处理。 在CMakeLists.txt中,我们需要使用 ...
from torch.utils.cpp_extension import BuildExtension, CUDAExtension setup( name='CudaDemo', packages=find_packages(), version='0.1.0', author='xxx', ext_modules=[ CUDAExtension( 'sum_single',# operator name ['./ops/src/reduce_sum/...
在安装一些基于torch的第三方子模块时,譬如tiny-cuda-nn、nvdiffrast、simple-knn。如果没有安装CUDA Toolkit,torch/utils/cpp_extension.py会报错如下: File ".../torch/utils/cpp_extension.py", line 1076, in CUDAExtension library_dirs += library_paths(cuda=True) File ...