本文主要是介绍安装pip install pointnet2_ops_lib/.，希望对大家解决编程问题提供一定的参考价值，需要的开发者们随着小编来一起学习吧！
安装这个的时候一直报错
总结原因还是版本不一致的问题，参考的博客https://blog.csdn.net/weixin_45144684/article/details/132525431
最后在这个链接里面https://anaconda.org/nvidia/cuda-toolkit成果安装11.5的粗大tookit就成功了，
最后附上所有包的版本
# Name Version Build Channel
_libgcc_mutex 0.1 conda_forge defaults
_openmp_mutex 4.5 2_gnu defaults
argparse 1.4.0 pypi_0 pypi
ca-certificates 2023.08.22 h06a4308_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
certifi 2023.7.22 pypi_0 pypi
charset-normalizer 3.3.1 pypi_0 pypi
cuda-cccl 11.5.62 0 nvidia/label/cuda-11.5.0
cuda-command-line-tools 11.5.0 0 nvidia/label/cuda-11.5.0
cuda-compiler 11.5.0 0 nvidia/label/cuda-11.5.0
cuda-cudart 11.5.50 h79feb7f_0 nvidia/label/cuda-11.5.0
cuda-cudart-dev 11.5.50 h2215e51_0 nvidia/label/cuda-11.5.0
cuda-cuobjdump 11.5.50 h3fb44dc_0 nvidia/label/cuda-11.5.0
cuda-cupti 11.5.57 h2e3e70b_0 nvidia/label/cuda-11.5.0
cuda-cuxxfilt 11.5.50 he5660e7_0 nvidia/label/cuda-11.5.0
cuda-driver-dev 11.5.50 0 nvidia/label/cuda-11.5.0
cuda-gdb 11.5.50 h03b1d8f_0 nvidia/label/cuda-11.5.0
cuda-libraries 11.5.0 0 nvidia/label/cuda-11.5.0
cuda-libraries-dev 11.5.0 0 nvidia/label/cuda-11.5.0
cuda-memcheck 11.5.50 h29df99e_0 nvidia/label/cuda-11.5.0
cuda-nsight 11.5.50 0 nvidia/label/cuda-11.5.0
cuda-nsight-compute 11.5.0 0 nvidia/label/cuda-11.5.0
cuda-nvcc 11.5.50 h8f81028_0 nvidia/label/cuda-11.5.0
cuda-nvdisasm 11.5.50 hc026f5c_0 nvidia/label/cuda-11.5.0
cuda-nvml-dev 11.5.50 h511b398_0 nvidia/label/cuda-11.5.0
cuda-nvprof 11.5.50 h1597bcb_0 nvidia/label/cuda-11.5.0
cuda-nvprune 11.5.50 h003a74f_0 nvidia/label/cuda-11.5.0
cuda-nvrtc 11.5.50 h895d16b_0 nvidia/label/cuda-11.5.0
cuda-nvrtc-dev 11.5.50 h2215e51_0 nvidia/label/cuda-11.5.0
cuda-nvtx 11.5.50 h4855407_0 nvidia/label/cuda-11.5.0
cuda-nvvp 11.5.50 h97cf613_0 nvidia/label/cuda-11.5.0
cuda-samples 11.5.56 hf1e648b_0 nvidia/label/cuda-11.5.0
cuda-sanitizer-api 11.5.50 h7b563e8_0 nvidia/label/cuda-11.5.0
cuda-toolkit 11.5.0 0 nvidia/label/cuda-11.5.0
cuda-tools 11.5.0 0 nvidia/label/cuda-11.5.0
cuda-visual-tools 11.5.0 0 nvidia/label/cuda-11.5.0
cudatoolkit 11.3.1 hb98b00a_12 defaults
cudnn 8.2.1 cuda11.3_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
cycler 0.11.0 pypi_0 pypi
datetime 5.2 pypi_0 pypi
einops 0.6.1 pypi_0 pypi
gds-tools 1.1.0.37 0 nvidia/label/cuda-11.5.0
h5py 3.8.0 pypi_0 pypi
idna 3.4 pypi_0 pypi
joblib 1.3.2 pypi_0 pypi
kiwisolver 1.4.5 pypi_0 pypi
ld_impl_linux-64 2.40 h41732ed_0 defaults
libcublas 11.7.3.1 h9aaa3f1_0 nvidia/label/cuda-11.5.0
libcublas-dev 11.7.3.1 h735f016_0 nvidia/label/cuda-11.5.0
libcufft 10.6.0.54 h870cfc3_0 nvidia/label/cuda-11.5.0
libcufft-dev 10.6.0.54 heb8b0c4_0 nvidia/label/cuda-11.5.0
libcufile 1.1.0.37 0 nvidia/label/cuda-11.5.0
libcufile-dev 1.1.0.37 0 nvidia/label/cuda-11.5.0
libcurand 10.2.6.48 h7a3aca7_0 nvidia/label/cuda-11.5.0
libcurand-dev 10.2.6.48 h7d14a9d_0 nvidia/label/cuda-11.5.0
libcusolver 11.2.1.48 h9466049_0 nvidia/label/cuda-11.5.0
libcusolver-dev 11.2.1.48 h612d181_0 nvidia/label/cuda-11.5.0
libcusparse 11.7.0.31 he98c070_0 nvidia/label/cuda-11.5.0
libcusparse-dev 11.7.0.31 h28fb914_0 nvidia/label/cuda-11.5.0
libffi 3.4.2 h7f98852_5 defaults
libgcc-ng 13.2.0 h807b86a_2 defaults
libgomp 13.2.0 h807b86a_2 defaults
libnpp 11.5.1.53 h3cab1f3_0 nvidia/label/cuda-11.5.0
libnpp-dev 11.5.1.53 h970a96a_0 nvidia/label/cuda-11.5.0
libnsl 2.0.1 hd590300_0 defaults
libnvjpeg 11.5.3.48 hd86304a_0 nvidia/label/cuda-11.5.0
libnvjpeg-dev 11.5.3.48 hb9d0013_0 nvidia/label/cuda-11.5.0
libsqlite 3.43.2 h2797004_0 defaults
libstdcxx-ng 13.2.0 h7e041cc_2 defaults
libzlib 1.2.13 hd590300_5 defaults
matplotlib 3.4.2 pypi_0 pypi
ncurses 6.4 hcb278e6_0 defaults
nsight-compute 2021.3.0.13 0 nvidia/label/cuda-11.5.0
numpy 1.21.6 pypi_0 pypi
openssl 3.0.11 h7f8727e_2 https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
pillow 9.5.0 pypi_0 pypi
pip 23.3.1 pyhd8ed1ab_0 defaults
pointnet2-ops 3.0.0 pypi_0 pypi
pyparsing 3.1.1 pypi_0 pypi
python 3.7.12 hf930737_100_cpython defaults
python-dateutil 2.8.2 pypi_0 pypi
pytz 2023.3.post1 pypi_0 pypi
pyyaml 5.4.1 pypi_0 pypi
readline 8.2 h8228510_1 defaults
requests 2.31.0 pypi_0 pypi
scikit-learn 0.24.2 pypi_0 pypi
scipy 1.7.3 pypi_0 pypi
setuptools 68.2.2 pyhd8ed1ab_0 defaults
six 1.16.0 pypi_0 pypi
sqlite 3.43.2 h2c6b66d_0 defaults
threadpoolctl 3.1.0 pypi_0 pypi
tk 8.6.13 h2797004_0 defaults
torch 1.11.0+cu115 pypi_0 pypi
torchaudio 0.11.0+cu115 pypi_0 pypi
torchvision 0.12.0+cu115 pypi_0 pypi
tqdm 4.66.1 pypi_0 pypi
typing 3.7.4.3 pypi_0 pypi
typing-extensions 4.7.1 pypi_0 pypi
urllib3 2.0.7 pypi_0 pypi
wheel 0.41.2 pyhd8ed1ab_0 defaults
xz 5.2.6 h166bdaf_0 defaults
zope-interface 6.1 pypi_0 pypi
这篇关于安装pip install pointnet2_ops_lib/.的文章就介绍到这儿，希望我们推荐的文章对编程师们有所帮助！
