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ashawkey / RAD-NeRF

Real-time Neural Radiance Talking Portrait Synthesis via Audio-spatial Decomposition
MIT License
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bash scripts/install_ext.sh get error #42

Open huangxin168 opened 1 year ago

huangxin168 commented 1 year ago

Follow the Install steps, when invoke: bash scripts/install_ext.sh I got the error messages:

Looking in indexes: https://pypi.org/simple, https://pypi.ngc.nvidia.com Processing ./freqencoder Preparing metadata (setup.py) ... done Building wheels for collected packages: freqencoder Building wheel for freqencoder (setup.py) ... error error: subprocess-exited-with-error

× python setup.py bdist_wheel did not run successfully. │ exit code: 1 ╰─> [22 lines of output] running bdist_wheel running build running build_ext /root/miniconda3/envs/radnerf/lib/python3.9/site-packages/torch/utils/cpp_extension.py:813: UserWarning: The detected CUDA version (11.5) has a minor version mismatch with the version that was used to compile PyTorch (11.6). Most likely this shouldn't be a problem. warnings.warn(CUDA_MISMATCH_WARN.format(cuda_str_version, torch.version.cuda)) /root/miniconda3/envs/radnerf/lib/python3.9/site-packages/torch/utils/cpp_extension.py:820: UserWarning: There are no g++ version bounds defined for CUDA version 11.5 warnings.warn(f'There are no {compiler_name} version bounds defined for CUDA version {cuda_str_version}') building '_freqencoder' extension creating /RAD-NeRF/freqencoder/build creating /RAD-NeRF/freqencoder/build/temp.linux-x86_64-cpython-39 creating /RAD-NeRF/freqencoder/build/temp.linux-x86_64-cpython-39/RAD-NeRF creating /RAD-NeRF/freqencoder/build/temp.linux-x86_64-cpython-39/RAD-NeRF/freqencoder creating /RAD-NeRF/freqencoder/build/temp.linux-x86_64-cpython-39/RAD-NeRF/freqencoder/src Emitting ninja build file /RAD-NeRF/freqencoder/build/temp.linux-x86_64-cpython-39/build.ninja... Compiling objects... Allowing ninja to set a default number of workers... (overridable by setting the environment variable MAX_JOBS=N) 1.11.1.git.kitware.jobserver-1 creating build/lib.linux-x86_64-cpython-39 g++ -pthread -B /root/miniconda3/envs/radnerf/compiler_compat -shared -Wl,-rpath,/root/miniconda3/envs/radnerf/lib -Wl,-rpath-link,/root/miniconda3/envs/radnerf/lib -L/root/miniconda3/envs/radnerf/lib -L/root/miniconda3/envs/radnerf/lib -Wl,-rpath,/root/miniconda3/envs/radnerf/lib -Wl,-rpath-link,/root/miniconda3/envs/radnerf/lib -L/root/miniconda3/envs/radnerf/lib /RAD-NeRF/freqencoder/build/temp.linux-x86_64-cpython-39/RAD-NeRF/freqencoder/src/bindings.o /RAD-NeRF/freqencoder/build/temp.linux-x86_64-cpython-39/RAD-NeRF/freqencoder/src/freqencoder.o -L/root/miniconda3/envs/radnerf/lib/python3.9/site-packages/torch/lib -L/usr/lib64 -lc10 -ltorch -ltorch_cpu -ltorch_python -lcudart -lc10_cuda -ltorch_cuda_cu -ltorch_cuda_cpp -o build/lib.linux-x86_64-cpython-39/_freqencoder.cpython-39-x86_64-linux-gnu.so g++: error: /RAD-NeRF/freqencoder/build/temp.linux-x86_64-cpython-39/RAD-NeRF/freqencoder/src/bindings.o: No such file or directory g++: error: /RAD-NeRF/freqencoder/build/temp.linux-x86_64-cpython-39/RAD-NeRF/freqencoder/src/freqencoder.o: No such file or directory error: command '/usr/bin/g++' failed with exit code 1 [end of output]

note: This error originates from a subprocess, and is likely not a problem with pip. ERROR: Failed building wheel for freqencoder Running setup.py clean for freqencoder Failed to build freqencoder

packages in environment at /root/miniconda3/envs/radnerf:

#

Name Version Build Channel

_libgcc_mutex 0.1 main defaults _openmp_mutex 5.1 1_gnu defaults blas 1.0 mkl defaults brotlipy 0.7.0 py39h27cfd23_1003 defaults bzip2 1.0.8 h7b6447c_0 defaults ca-certificates 2023.01.10 h06a4308_0 defaults certifi 2022.12.7 py39h06a4308_0 defaults cffi 1.15.1 py39h5eee18b_3 defaults charset-normalizer 2.0.4 pyhd3eb1b0_0 defaults colorama 0.4.6 pyhd8ed1ab_0 conda-forge configargparse 1.5.3 pypi_0 pypi contourpy 1.0.7 pypi_0 pypi cryptography 39.0.1 py39h9ce1e76_0 defaults cuda 11.6.1 0 nvidia cuda-cccl 11.6.55 hf6102b2_0 nvidia cuda-command-line-tools 11.6.2 0 nvidia cuda-compiler 11.6.2 0 nvidia cuda-cudart 11.6.55 he381448_0 nvidia cuda-cudart-dev 11.6.55 h42ad0f4_0 nvidia cuda-cuobjdump 11.6.124 h2eeebcb_0 nvidia cuda-cupti 11.6.124 h86345e5_0 nvidia cuda-cuxxfilt 11.6.124 hecbf4f6_0 nvidia cuda-driver-dev 11.6.55 0 nvidia cuda-gdb 12.1.55 0 nvidia cuda-libraries 11.6.2 0 nvidia cuda-libraries-dev 11.6.1 0 nvidia cuda-memcheck 11.8.86 0 nvidia cuda-nsight 12.1.55 0 nvidia cuda-nsight-compute 12.1.0 0 nvidia cuda-nvcc 11.6.124 hbba6d2d_0 nvidia cuda-nvdisasm 12.1.55 0 nvidia cuda-nvml-dev 11.6.55 haa9ef22_0 nvidia cuda-nvprof 12.1.55 0 nvidia cuda-nvprune 11.6.124 he22ec0a_0 nvidia cuda-nvrtc 11.6.124 h020bade_0 nvidia cuda-nvrtc-dev 11.6.124 h249d397_0 nvidia cuda-nvtx 11.6.124 h0630a44_0 nvidia cuda-nvvp 12.1.55 0 nvidia cuda-runtime 11.6.2 0 nvidia cuda-samples 11.6.101 h8efea70_0 nvidia cuda-sanitizer-api 12.1.55 0 nvidia cuda-toolkit 11.6.1 0 nvidia cuda-tools 11.6.1 0 nvidia cuda-visual-tools 11.6.1 0 nvidia cudatoolkit 11.6.0 habf752d_9 nvidia cycler 0.11.0 pypi_0 pypi dearpygui 1.9.0 pypi_0 pypi einops 0.6.0 pypi_0 pypi face-alignment 1.3.5 pypi_0 pypi ffmpeg 4.3 hf484d3e_0 pytorch filelock 3.10.2 pypi_0 pypi flit-core 3.8.0 py39h06a4308_0 defaults fonttools 4.39.2 pypi_0 pypi freetype 2.12.1 h4a9f257_0 defaults fvcore 0.1.5.post20221221 pyhd8ed1ab_0 conda-forge gds-tools 1.6.0.25 0 nvidia giflib 5.2.1 h5eee18b_3 defaults gmp 6.2.1 h295c915_3 defaults gnutls 3.6.15 he1e5248_0 defaults huggingface-hub 0.13.3 pypi_0 pypi idna 3.4 py39h06a4308_0 defaults imageio 2.26.1 pypi_0 pypi imageio-ffmpeg 0.4.8 pypi_0 pypi importlib-resources 5.12.0 pypi_0 pypi intel-openmp 2021.4.0 h06a4308_3561 defaults iopath 0.1.9 py39 iopath joblib 1.2.0 pypi_0 pypi jpeg 9e h5eee18b_1 defaults kiwisolver 1.4.4 pypi_0 pypi lame 3.100 h7b6447c_0 defaults lazy-loader 0.2 pypi_0 pypi lcms2 2.12 h3be6417_0 defaults ld_impl_linux-64 2.38 h1181459_1 defaults lerc 3.0 h295c915_0 defaults libclang 15.0.6.1 pypi_0 pypi libcublas 11.10.3.66 0 nvidia libcublas-dev 11.9.2.110 h5c901ab_0 nvidia libcufft 10.7.2.124 h4fbf590_0 nvidia libcufft-dev 10.7.1.112 ha5ce4c0_0 nvidia libcufile 1.6.0.25 0 nvidia libcufile-dev 1.6.0.25 0 nvidia libcurand 10.3.2.56 0 nvidia libcurand-dev 10.3.2.56 0 nvidia libcusolver 11.4.0.1 0 nvidia libcusparse 11.7.4.91 0 nvidia libcusparse-dev 11.7.2.124 hbbe9722_0 nvidia libdeflate 1.17 h5eee18b_0 defaults libffi 3.4.2 h6a678d5_6 defaults libgcc-ng 11.2.0 h1234567_1 defaults libgomp 11.2.0 h1234567_1 defaults libiconv 1.16 h7f8727e_2 defaults libidn2 2.3.2 h7f8727e_0 defaults libnpp 11.7.4.75 0 nvidia libnpp-dev 11.6.3.124 h3c42840_0 nvidia libnvjpeg 11.8.0.2 0 nvidia libnvjpeg-dev 11.6.2.124 hb5906b9_0 nvidia libpng 1.6.39 h5eee18b_0 defaults libstdcxx-ng 11.2.0 h1234567_1 defaults libtasn1 4.16.0 h27cfd23_0 defaults libtiff 4.5.0 h6a678d5_2 defaults libunistring 0.9.10 h27cfd23_0 defaults libwebp 1.2.4 h11a3e52_1 defaults libwebp-base 1.2.4 h5eee18b_1 defaults llvmlite 0.39.1 pypi_0 pypi lpips 0.1.4 pypi_0 pypi lz4-c 1.9.4 h6a678d5_0 defaults markdown-it-py 2.2.0 pypi_0 pypi matplotlib 3.7.1 pypi_0 pypi mdurl 0.1.2 pypi_0 pypi mkl 2021.4.0 h06a4308_640 defaults mkl-service 2.4.0 py39h7f8727e_0 defaults mkl_fft 1.3.1 py39hd3c417c_0 defaults mkl_random 1.2.2 py39h51133e4_0 defaults ncurses 6.4 h6a678d5_0 defaults nettle 3.7.3 hbbd107a_1 defaults networkx 3.0 pypi_0 pypi ninja 1.11.1 pypi_0 pypi nsight-compute 2023.1.0.15 0 nvidia numba 0.56.4 pypi_0 pypi numpy 1.23.5 py39h14f4228_0 defaults numpy-base 1.23.5 py39h31eccc5_0 defaults nvidiacub 1.10.0 0 bottler opencv-python 4.7.0.72 pypi_0 pypi openh264 2.1.1 h4ff587b_0 defaults openssl 1.1.1t h7f8727e_0 defaults packaging 23.0 pypi_0 pypi pandas 1.5.3 pypi_0 pypi pillow 9.4.0 py39h6a678d5_0 defaults pip 23.0.1 py39h06a4308_0 defaults portalocker 2.7.0 py39hf3d152e_0 conda-forge protobuf 3.20.3 pypi_0 pypi pyaudio 0.2.13 pypi_0 pypi pycparser 2.21 pyhd3eb1b0_0 defaults pygments 2.14.0 pypi_0 pypi pymcubes 0.1.4 pypi_0 pypi pyopenssl 23.0.0 py39h06a4308_0 defaults pyparsing 3.0.9 pypi_0 pypi pysocks 1.7.1 py39h06a4308_0 defaults python 3.9.16 h7a1cb2a_2 defaults python-dateutil 2.8.2 pypi_0 pypi python-speech-features 0.6 pypi_0 pypi python_abi 3.9 2_cp39 conda-forge pytorch 1.12.0 py3.9_cuda11.6_cudnn8.3.2_0 pytorch pytorch-cuda 11.6 h867d48c_0 pytorch pytorch-mutex 1.0 cuda pytorch pytorch3d 0.7.2 dev_0 pytz 2022.7.1 pypi_0 pypi pywavelets 1.4.1 pypi_0 pypi pyyaml 6.0 py39hb9d737c_4 conda-forge readline 8.2 h5eee18b_0 defaults regex 2023.3.22 pypi_0 pypi requests 2.28.1 py39h06a4308_1 defaults resampy 0.4.2 pypi_0 pypi rich 13.3.2 pypi_0 pypi scikit-image 0.20.0 pypi_0 pypi scikit-learn 1.2.2 pypi_0 pypi scipy 1.9.1 pypi_0 pypi setuptools 65.6.3 py39h06a4308_0 defaults six 1.16.0 pyhd3eb1b0_1 defaults soundfile 0.12.1 pypi_0 pypi sqlite 3.41.1 h5eee18b_0 defaults tabulate 0.9.0 pyhd8ed1ab_1 conda-forge tensorboardx 2.6 pypi_0 pypi termcolor 2.2.0 pyhd8ed1ab_0 conda-forge threadpoolctl 3.1.0 pypi_0 pypi tifffile 2023.3.21 pypi_0 pypi tk 8.6.12 h1ccaba5_0 defaults tokenizers 0.13.2 pypi_0 pypi torch-ema 0.3 pypi_0 pypi torchvision 0.13.0 py39_cu116 pytorch tqdm 4.65.0 pyhd8ed1ab_1 conda-forge transformers 4.27.2 pypi_0 pypi trimesh 3.21.0 pypi_0 pypi typing_extensions 4.4.0 py39h06a4308_0 defaults tzdata 2022g h04d1e81_0 defaults urllib3 1.26.14 py39h06a4308_0 defaults wheel 0.38.4 py39h06a4308_0 defaults xz 5.2.10 h5eee18b_1 defaults yacs 0.1.8 pyhd8ed1ab_0 conda-forge yaml 0.2.5 h7f98852_2 conda-forge zipp 3.15.0 pypi_0 pypi zlib 1.2.13 h5eee18b_0 defaults zstd 1.5.2 ha4553b6_0 defaults

I have try many pytorch+cuda versions, still same, it seams that it's a compiling path problem, but dont know how to fix it. the same environment works for the GeneFace project (borrowed your code).

huangxin168 commented 1 year ago

To build the extesion and pytorch3d, both of the cuda toolkit version and pytorch cuda version should be 11.6。 For RTX4090， cuda toolkit version shoud be 11.8, pytorch cuda version should be 11.6(use pip install)

1flyingpig commented 11 months ago

按照安装步骤，调用时：bash 脚本/install_ext.sh

我收到错误消息： 查找索引： https://pypi.org/simple， https://pypi.ngc.nvidia.com 处理 ./频率编码器 准备元数据 （setup.py） ...完成 用于收集的包裹的构建轮：频率编码器 频率编码器的构建轮 （setup.py） ...错误错误：子进程退出并显示错误

× python setup.py bdist_wheel未成功运行。 │ 退出代码：1 ╰─> [22 行输出] 运行bdist_wheel运行构建 运行build_ext /root/miniconda3/envs/radnerf/lib/python3.9/site-packages/torch/utils/cpp_extension.py：813： 用户警告：检测到的 CUDA 版本 （11.5） 与用于编译 PyTorch （11.6） 的版本不匹配。这很可能不是问题。 warnings.warn（CUDA_MISMATCH_WARN.format（cuda_str_version， torch.version.cuda）） /root/miniconda3/envs/radnerf/lib/python3.9/site-packages/torch/utils/cpp_extension.py：820： UserWarning：没有为 CUDA 版本 11.5 定义 g++ 版本边界 warnings.warn（f'没有为 CUDA 版本 {compiler_name cuda_str_version}'） 构建“_freqencoder”扩展创建 /RAD-NeRF/freqencoder/build create /RAD-NeRF/freqencoder/build/temp.linux-x86_64-cpython-39 create /RAD-NeRF/freqencoder/build/temp.linux-x86_64-cpython-39/RAD-NeRF 创建 /RAD-NeRF/freqencoder/build/temp.linux-x86_64-cpython-39/RAD-NeRF/freqencoder 创建 /RAD-NeRF/freqencoder/build/temp.linux-x86_64-cpython-39/RAD-NeRF/freqencoder/src Emitting ninja build file /RAD-NeRF/freqencoder/build/temp.linux-x86_64-cpython-39/build.ninja...正在编译对象...允许忍者设置默认的工人数量...（可通过设置环境变量 MAX_JOBS=N 来覆盖） 1.11.1.git.kitware.jobserver-1 create build/lib.linux-x86_64-cpython-39 g++ -pthread -B /root/miniconda3/envs/radnerf/compiler_compat -shared -wl，-rpath，/root/miniconda3/envs/radnerf/lib -wl，-rpath-link，/root/miniconda3/envs/radnerf/lib -L/root/miniconda3/envs/radnerf/lib -L/root/miniconda3/envs/radnerf/lib -wl，-rpath，/root/miniconda3/envs/radnerf/lib -wl，-rpath-link，/root/miniconda3/envs/radnerf/lib -L/root/miniconda3/envs/radnerf/lib /RAD-NeRF/freqencoder/build/temp.linux-x86_64-cpython-39/RAD-NeRF/freqencoder/src/bindings.o /RAD-NeRF/freqencoder/build/temp.linux-x86_64-cpython-39/RAD-NeRF/freqencoder/src/freqencoder.o -L/root/miniconda3/envs/radnerf/lib/python3.9/site-packages/torch/lib -L/usr/lib64 -lc10 -ltorch -ltorch_cpu -ltorch_python -lcudart -lc10_cuda -ltorch_cuda_cu -ltorch_cuda_cpp -o build/lib.linux-x86_64-cpython-39/_freqencoder.cpython-39-x86_64-linux-gnu.so g++： error： /RAD-NeRF/freqencoder/build/temp.linux-x86_64-cpython-39/RAD-NeRF/freqencoder/src/bindings.o： 没有这样的文件或目录 g++： error： /RAD-NeRF/freqencoder/build/temp.linux-x86_64-cpython-39/RAD-NeRF/freqencoder/src/freqencoder.o： 没有这样的文件或目录错误： 命令 '/usr/bin/g++' 失败，退出代码 1 [输出结束]

注意：此错误源自子进程，可能不是 pip 的问题。错误：频率编码器的构建轮出现故障 频率编码器的运行 setup.py 干净 无法构建频率编码器

环境中的软件包位于 /root/miniconda3/envs/radnerf：

名称 版本 生成通道

_libgcc_mutex 0.1 主要默认值 _openmp_mutex 5.1 1_gnu默认值 blas 1.0 mkl 默认值 brotlipy 0.7.0 py39h27cfd23_1003默认值 bzip2 1.0.8 h7b6447c_0默认值 CA 证书 2023.01.10 h06a4308_0默认值 certifi 2022.12.7 py39h06a4308_0默认值 CFFI 1.15.1 py39h5eee18b_3默认值 字符集规范化器 2.0.4 pyhd3eb1b0_0默认值 科罗拉马州 0.4.6 pyhd8ed1ab_0康达锻造configargparse 1.5.3 pypi_0 pypi contourpy 1.0.7 pypi_0 pypi 加密 39.0.1 py39h9ce1e76_0默认值 cuda 11.6.1 0 nvidia cuda-cccl 11.6.55 hf6102b2_0 NVIDIA cuda-command-line-tools 11.6.2 0 nvidia cuda-compiler 11.6.2 0 nvidia cuda-cudart 11.6.55 he381448_0 Nvidia Cuda-Cudart-dev 11.6.55 h42ad0f4_0 Nvidia Cuda-Cuobjdump 11.6.124 h2eeebcb_0 NVIDIACUDA-cupti 11.6.124 h86345e5_0 NVIDIA CUDA-CUXXFILT 11.6.124 hecbf4f6_0 NVIDIA CUDA-Driver-dev 11.6.55 0 NVIDIA CUDA-GDB 12.1.55 0 NVIDIA CUDA-Library 11.6.2 0 Nvidia CUDA-Libraries-dev 11.6.1 0 Nvidia Cuda-Memcheck 11.8.86 0 Nvidia CUDA-nsight 12.1.55 0 Nvidia CUDA-nsight-compute 12.1.0 0 Nvidia CUDA-NVCC 11.6.124 hbba6d2d_0 NVIDIA CUDA-NVDISASM 12.1.55 0NVIDIA CUDA-NVML-DEV 11.6.55 haa9ef22_0 NVIDIA CUDA-NVPROF 12.1.55 0 NVIDIA CUDA-NVPrune 11.6.124 he22ec0a_0 NVIDIA CUDA-NVRTC 11.6.124 h020bade_0 NVIDIA CUDA-NVRTC-DEV 11.6.124 h249d397_0 NVIDIA CUDA-NVTX 11.6.124 h0630a44_0 NVIDIA CUDA-NVVP 12.1.55 0 NVIDIA CUDA-Runtime 11.6.2 0 NVIDIA CUDA-样品 11.6.101 h8efea70_0 NVIDIA CUDA-Sannitizer-API 12.1.55 0Nvidia Cuda-Toolkit 11.6.1 0 Nvidia Cuda-Tools 11.6.1 0 Nvidia Cuda-visual-Tools 11.6.1 0 Nvidia CudaToolkit 11.6.0 habf752d_9 Nvidia Cycler 0.11.0 pypi_0 Pypi dearpygui 1.9.0 pypi_0 Pypi einops 0.6.0 pypi_0 Pypi 面部对齐 1.3.5 pypi_0 Pypi FFMPEG 4.3 hf484d3e_0 PyTorch Filelock 3.10.2 pypi_0 pypi flit-core 3.8.0 py39h06a4308_0默认值字体工具 4.39.2 pypi_0 Pypi Freetype 2.12.1 h4a9f257_0 默认值 FVCre 0.1.5.post20221221 pyhd8ed1ab_0 Conda-forge GDS-Tools 1.6.0.25 0 Nvidia giflib 5.2.1 h5eee18b_3 默认值 gmp 6.2.1 h295c915_3 默认值 gnutls 3.6.15 he1e5248_0 默认值 huggingface-hub 0.13.3 pypi_0 pypi idna 3.4 py39h06a4308_0 默认值 imageio 2.26.1 pypi_0 pypi imageio-ffmpeg 0.4.8 pypi_0 pypi importlib-resources 5.12.0 pypi_0 PYPI 英特尔-OpenMP 2021.4.0 h06a4308_3561 默认值 IOpath 0.1.9 py39 iopath joblib 1.2.0 pypi_0 pypi jpeg 9e h5eee18b_1默认值 Kiwisolver 1.4.4 pypi_0 Pypi 跛脚 3.100 h7b6447c_0默认值 lazy-loader 0.2 pypi_0 pypi LCMS2 2.12 h3be6417_0默认值 ld_impl_linux-64 2.38 h1181459_1默认值lerc 3.0 h295c915_0 默认值 libclang 15.0.6.1 pypi_0 pypi libcublas 11.10.3.66 0 英伟达 Libcublas-dev 11.9.2.110 h5c901ab_0 英伟达 Libcufft 10.7.2.124 h4fbf590_0 英伟达 Libcufft-dev 10.7.1.112 ha5ce4c0_0 英伟达 libcufile 1.6.0.25 0 英伟达 libcufile-dev 1.6.0.25 0 英伟达 Libcurand 10.3.2.56 0 英伟达 Libcurand-dev 10.3.2.56 0 英伟达 Libcusolver 11.4.0.1 0 英伟达 LibcusParse 11.7.4.91 0 英伟达libcusparse-dev 11.7.2.124 hbbe9722_0 nvidia libdeflate 1.17 h5eee18b_0 defaults libffi 3.4.2 h6a678d5_6 defaults libgcc-ng 11.2.0 h1234567_1 defaults libgomp 11.2.0 h1234567_1 defaults libiconv 1.16 h7f8727e_2 defaults libidn2 2.3.2 h7f8727e_0 defaults libnpp 11.7.4.75 0 Nvidia libnpp-dev 11.6.3.124 h3c42840_0 NVIDIA libnvjpeg 11.8.0.2 0 NVIDIAlibnvjpeg-dev 11.6.2.124 hb5906b9_0 Nvidia libpng 1.6.39 h5eee18b_0 默认值 libstdcxx-ng 11.2.0 h1234567_1 默认值 libtasn1 4.16.0 h27cfd23_0 默认值 libtiff 4.5.0 h6a678d5_2 默认值 libunistring 0.9.10 h27cfd23_0 默认值 libwebp 1.2.4 h11a3e52_1 默认值 libwebp-base 1.2.4 h5eee18b_1 默认值 llvmlite 0.39.1 pypi_0 pypi LPIP 0.1.4 pypi_0 pypiLZ4-C 1.9.4 h6a678d5_0 默认值 markdown-it-py 2.2.0 pypi_0 pypi matplotlib 3.7.1 pypi_0 pypi mdurl 0.1.2 pypi_0 pypi mkl 2021.4.0 h06a4308_640默认值 MKL-service 2.4.0 py39h7f8727e_0默认值 mkl_fft 1.3.1 py39hd3c417c_0默认值 mkl_random 1.2.2 py39h51133e4_0默认值 ncurses 6.4 h6a678d5_0默认值 荨麻 3.7.3 hbbd107a_1默认值NetworkX 3.0 pypi_0 PyPi Ninja 1.11.1 pypi_0 Pypi nsight-compute 2023.1.0.15 0 Nvidia Numba 0.56.4 pypi_0 Pypi Numpy 1.23.5 py39h14f4228_0 默认值 numpy-base 1.23.5 py39h31eccc5_0 默认值 nvidiacub 1.10.0 0 瓶装器 OpenCV-Python 4.7.0.72 pypi_0 pypi openh264 2.1.1 h4ff587b_0 默认值 openssl 1.1.1t h7f8727e_0 默认打包 23.0 pypi_0 皮皮熊猫 1.5.3 pypi_0 皮皮枕头 9.4.0 py39h6a678d5_0默认值 点 23.0.1 py39h06a4308_0默认值 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我已经尝试了很多pytorch + cuda版本，仍然相同，它接缝这是一个编译路径问题，但不知道如何解决它。同样的环境适用于GeneFace项目（借用了你的代码）。

"Has this problem been resolved now? How was it done?"