在 2024 年 7 月，我把系统从 ArchLinux 迁移到了 NixOS，自然就用上了 nix 包管理器。迁移完后感觉一切都清爽了，但同时，有很多事情要解决。
迁移完后，我首先需要解决纳西妲语音模型合成音频的问题。
我之前在ArchLinux上使用 so-vits-svc↗ 来合成，这是一个 Python 项目，我在翻阅很多文献后决定使用 flake + venv↗ 来安装运行环境，但好巧不巧，它官方推荐的 Python 版本是 3.8.9，而nix官方包最低只提供 3.9 版本，怎么办呢？
使用 3.9 版本的 Python
既然 3.8.9 版本的 Python 官方不提供包，那我们就用 3.9 的 Python 吧（反正就差了 0.0.1 而已）。
创建 flake.nix 文件
{ description = "Python venv development template"; inputs.utils.url = "github:numtide/flake-utils"; outputs = { nixpkgs, utils, ... }: utils.lib.eachDefaultSystem (system: let pkgs = import nixpkgs { inherit system; }; pythonPackages = pkgs.python39Packages; in { devShells.default = pkgs.mkShell { name = "python-venv"; venvDir = "./.venv"; buildInputs = [ pythonPackages.python pythonPackages.venvShellHook pythonPackages.numpy ]; postVenvCreation = '' unset SOURCE_DATE_EPOCH pip install -r requirements.txt ''; postShellHook = '' unset SOURCE_DATE_EPOCH if [ -z "$LD_LIBRARY_PATH" ]; then export LD_LIBRARY_PATH="$LD_LIBRARY_PATH:${pkgs.stdenv.cc.cc.lib}/lib/:${pkgs.libsndfile.out}/lib/:/run/opengl-driver/lib/" else export LD_LIBRARY_PATH="${pkgs.stdenv.cc.cc.lib}/lib/:${pkgs.libsndfile.out}/lib/:/run/opengl-driver/lib/" fi ''; }; });}创建 .envrc 文件
direnv 在每次切换目录时寻找 .envrc 文件以自动加载运行环境：
use flake然后输入下面这条命令，让 direnv 信任我们的 .envrc 文件：
direnv allow 然后然后等待
pip 安装完依赖后就成功啦！pip 的输出
Collecting ffmpeg-python Using cached ffmpeg_python-0.2.0-py3-none-any.whl (25 kB)Collecting Flask Using cached flask-3.0.3-py3-none-any.whl (101 kB)Collecting Flask_Cors Using cached Flask_Cors-4.0.1-py2.py3-none-any.whl (14 kB)Collecting gradio>=3.7.0 Using cached gradio-4.41.0-py3-none-any.whl (12.6 MB)Collecting numpy==1.23.5 Using cached numpy-1.23.5-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (17.1 MB)Collecting pyworld Using cached pyworld-0.3.4-cp39-cp39-linux_x86_64.whlCollecting scipy==1.10.0 Using cached scipy-1.10.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (34.4 MB)Collecting SoundFile==0.12.1 Using cached soundfile-0.12.1-py2.py3-none-manylinux_2_31_x86_64.whl (1.2 MB)Collecting torch Using cached torch-2.4.0-cp39-cp39-manylinux1_x86_64.whl (797.2 MB)Collecting torchaudio Using cached torchaudio-2.4.0-cp39-cp39-manylinux1_x86_64.whl (3.4 MB)Collecting torchcrepe Using cached torchcrepe-0.0.23-py3-none-any.whl (72.3 MB)Collecting tqdm Using cached tqdm-4.66.5-py3-none-any.whl (78 kB)Collecting rich Using cached rich-13.7.1-py3-none-any.whl (240 kB)Collecting loguru Using cached loguru-0.7.2-py3-none-any.whl (62 kB)Collecting scikit-maad Using cached scikit_maad-1.4.3-py3-none-any.whl (162 kB)Collecting praat-parselmouth Using cached praat_parselmouth-0.4.4-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (10.7 MB)Collecting onnx Using cached onnx-1.16.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (15.9 MB)Collecting onnxsim Using cached onnxsim-0.4.36-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.3 MB)Collecting onnxoptimizer Using cached onnxoptimizer-0.3.13-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (678 kB)Collecting fairseq==0.12.2 Using cached fairseq-0.12.2-cp39-cp39-linux_x86_64.whlCollecting librosa==0.9.1 Using cached librosa-0.9.1-py3-none-any.whl (213 kB)Collecting tensorboard Using cached tensorboard-2.17.0-py3-none-any.whl (5.5 MB)Collecting tensorboardX Using cached tensorboardX-2.6.2.2-py2.py3-none-any.whl (101 kB)Collecting transformers Using cached transformers-4.44.0-py3-none-any.whl (9.5 MB)Collecting edge_tts Using cached edge_tts-6.1.12-py3-none-any.whl (29 kB)Collecting langdetect Using cached langdetect-1.0.9.tar.gz (981 kB) Preparing metadata (setup.py): started Preparing metadata (setup.py): finished with status 'done'Collecting pyyaml Using cached PyYAML-6.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (737 kB)Collecting pynvml Using cached pynvml-11.5.3-py3-none-any.whl (53 kB)Collecting faiss-cpu Using cached faiss_cpu-1.8.0.post1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (27.0 MB)Collecting einops Using cached einops-0.8.0-py3-none-any.whl (43 kB)Collecting local_attention Using cached local_attention-1.9.14-py3-none-any.whl (9.0 kB)Collecting cffi>=1.0 Using cached cffi-1.17.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (444 kB)Collecting sacrebleu>=1.4.12 Using cached sacrebleu-2.4.2-py3-none-any.whl (106 kB)Collecting bitarray Using cached bitarray-2.9.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (286 kB)Collecting hydra-core<1.1,>=1.0.7 Using cached hydra_core-1.0.7-py3-none-any.whl (123 kB)Collecting omegaconf<2.1 Using cached omegaconf-2.0.6-py3-none-any.whl (36 kB)Collecting regex Using cached regex-2024.7.24-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (775 kB)Collecting cython Using cached Cython-3.0.11-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.6 MB)Collecting scikit-learn>=0.19.1 Using cached scikit_learn-1.5.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (13.4 MB)Collecting resampy>=0.2.2 Using cached resampy-0.4.3-py3-none-any.whl (3.1 MB)Collecting packaging>=20.0 Using cached packaging-24.1-py3-none-any.whl (53 kB)Collecting decorator>=4.0.10 Using cached decorator-5.1.1-py3-none-any.whl (9.1 kB)Collecting pooch>=1.0 Using cached pooch-1.8.2-py3-none-any.whl (64 kB)Collecting audioread>=2.1.5 Using cached audioread-3.0.1-py3-none-any.whl (23 kB)Collecting numba>=0.45.1 Using cached numba-0.60.0-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (3.7 MB)Collecting joblib>=0.14 Using cached joblib-1.4.2-py3-none-any.whl (301 kB)Collecting future Using cached future-1.0.0-py3-none-any.whl (491 kB)Collecting blinker>=1.6.2 Using cached blinker-1.8.2-py3-none-any.whl (9.5 kB)Collecting Werkzeug>=3.0.0 Using cached werkzeug-3.0.3-py3-none-any.whl (227 kB)Collecting Jinja2>=3.1.2 Using cached jinja2-3.1.4-py3-none-any.whl (133 kB)Collecting click>=8.1.3 Using cached click-8.1.7-py3-none-any.whl (97 kB)Collecting importlib-metadata>=3.6.0 Using cached importlib_metadata-8.2.0-py3-none-any.whl (25 kB)Collecting itsdangerous>=2.1.2 Using cached itsdangerous-2.2.0-py3-none-any.whl (16 kB)Collecting pydub Using cached pydub-0.25.1-py2.py3-none-any.whl (32 kB)Collecting ruff>=0.2.2 Using cached ruff-0.5.7-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (10.2 MB)Collecting anyio<5.0,>=3.0 Using cached anyio-4.4.0-py3-none-any.whl (86 kB)Collecting urllib3~=2.0 Using cached urllib3-2.2.2-py3-none-any.whl (121 kB)Collecting pandas<3.0,>=1.0 Using cached pandas-2.2.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (13.1 MB)Collecting importlib-resources<7.0,>=1.3 Using cached importlib_resources-6.4.0-py3-none-any.whl (38 kB)Collecting huggingface-hub>=0.19.3 Using cached huggingface_hub-0.24.5-py3-none-any.whl (417 kB)Collecting matplotlib~=3.0 Using cached matplotlib-3.9.1.post1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (8.3 MB)Collecting uvicorn>=0.14.0 Using cached uvicorn-0.30.5-py3-none-any.whl (62 kB)Collecting orjson~=3.0 Using cached orjson-3.10.7-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (141 kB)Collecting pillow<11.0,>=8.0 Using cached pillow-10.4.0-cp39-cp39-manylinux_2_28_x86_64.whl (4.5 MB)Collecting aiofiles<24.0,>=22.0 Using cached aiofiles-23.2.1-py3-none-any.whl (15 kB)Collecting pydantic>=2.0 Using cached pydantic-2.8.2-py3-none-any.whl (423 kB)Collecting python-multipart>=0.0.9 Using cached python_multipart-0.0.9-py3-none-any.whl (22 kB)Collecting typer<1.0,>=0.12 Using cached typer-0.12.3-py3-none-any.whl (47 kB)Collecting tomlkit==0.12.0 Using cached tomlkit-0.12.0-py3-none-any.whl (37 kB)Collecting markupsafe~=2.0 Using cached MarkupSafe-2.1.5-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (25 kB)Collecting ffmpy Using cached ffmpy-0.4.0-py3-none-any.whl (5.8 kB)Collecting fastapi Using cached fastapi-0.112.0-py3-none-any.whl (93 kB)Collecting gradio-client==1.3.0 Using cached gradio_client-1.3.0-py3-none-any.whl (318 kB)Collecting httpx>=0.24.1 Using cached httpx-0.27.0-py3-none-any.whl (75 kB)Collecting semantic-version~=2.0 Using cached semantic_version-2.10.0-py2.py3-none-any.whl (15 kB)Collecting typing-extensions~=4.0 Using cached typing_extensions-4.12.2-py3-none-any.whl (37 kB)Collecting fsspec Using cached fsspec-2024.6.1-py3-none-any.whl (177 kB)Collecting websockets<13.0,>=10.0 Using cached websockets-12.0-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (130 kB)Collecting nvidia-cuda-cupti-cu12==12.1.105 Using cached nvidia_cuda_cupti_cu12-12.1.105-py3-none-manylinux1_x86_64.whl (14.1 MB)Collecting nvidia-cudnn-cu12==9.1.0.70 Using cached nvidia_cudnn_cu12-9.1.0.70-py3-none-manylinux2014_x86_64.whl (664.8 MB)Collecting networkx Using cached networkx-3.2.1-py3-none-any.whl (1.6 MB)Collecting nvidia-cublas-cu12==12.1.3.1 Using cached nvidia_cublas_cu12-12.1.3.1-py3-none-manylinux1_x86_64.whl (410.6 MB)Collecting triton==3.0.0 Using cached triton-3.0.0-1-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (209.4 MB)Collecting nvidia-cufft-cu12==11.0.2.54 Using cached nvidia_cufft_cu12-11.0.2.54-py3-none-manylinux1_x86_64.whl (121.6 MB)Collecting nvidia-cuda-runtime-cu12==12.1.105 Using cached nvidia_cuda_runtime_cu12-12.1.105-py3-none-manylinux1_x86_64.whl (823 kB)Collecting nvidia-cusparse-cu12==12.1.0.106 Using cached nvidia_cusparse_cu12-12.1.0.106-py3-none-manylinux1_x86_64.whl (196.0 MB)Collecting nvidia-nccl-cu12==2.20.5 Using cached nvidia_nccl_cu12-2.20.5-py3-none-manylinux2014_x86_64.whl (176.2 MB)Collecting nvidia-cusolver-cu12==11.4.5.107 Using cached nvidia_cusolver_cu12-11.4.5.107-py3-none-manylinux1_x86_64.whl (124.2 MB)Collecting nvidia-curand-cu12==10.3.2.106 Using cached nvidia_curand_cu12-10.3.2.106-py3-none-manylinux1_x86_64.whl (56.5 MB)Collecting nvidia-cuda-nvrtc-cu12==12.1.105 Using cached nvidia_cuda_nvrtc_cu12-12.1.105-py3-none-manylinux1_x86_64.whl (23.7 MB)Collecting nvidia-nvtx-cu12==12.1.105 Using cached nvidia_nvtx_cu12-12.1.105-py3-none-manylinux1_x86_64.whl (99 kB)Collecting filelock Using cached filelock-3.15.4-py3-none-any.whl (16 kB)Collecting sympy Using cached sympy-1.13.1-py3-none-any.whl (6.2 MB)Collecting nvidia-nvjitlink-cu12 Using cached nvidia_nvjitlink_cu12-12.6.20-py3-none-manylinux2014_x86_64.whl (19.7 MB)Collecting pygments<3.0.0,>=2.13.0 Using cached pygments-2.18.0-py3-none-any.whl (1.2 MB)Collecting markdown-it-py>=2.2.0 Using cached markdown_it_py-3.0.0-py3-none-any.whl (87 kB)Collecting scikit-image>=0.19 Using cached scikit_image-0.24.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (14.9 MB)Collecting protobuf>=3.20.2 Using cached protobuf-5.27.3-cp38-abi3-manylinux2014_x86_64.whl (309 kB)Collecting markdown>=2.6.8 Using cached Markdown-3.6-py3-none-any.whl (105 kB)Collecting six>1.9 Using cached six-1.16.0-py2.py3-none-any.whl (11 kB)Collecting grpcio>=1.48.2 Using cached grpcio-1.65.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (5.7 MB)Requirement already satisfied: setuptools>=41.0.0 in ./.venv/lib/python3.9/site-packages (from tensorboard->-r requirements.txt (line 22)) (58.1.0)Collecting absl-py>=0.4 Using cached absl_py-2.1.0-py3-none-any.whl (133 kB)Collecting tensorboard-data-server<0.8.0,>=0.7.0 Using cached tensorboard_data_server-0.7.2-py3-none-manylinux_2_31_x86_64.whl (6.6 MB)Collecting protobuf>=3.20.2 Using cached protobuf-4.25.4-cp37-abi3-manylinux2014_x86_64.whl (294 kB)Collecting tokenizers<0.20,>=0.19 Using cached tokenizers-0.19.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.6 MB)Collecting requests Using cached requests-2.32.3-py3-none-any.whl (64 kB)Collecting safetensors>=0.4.1 Using cached safetensors-0.4.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (436 kB)Collecting aiohttp>=3.8.0 Using cached aiohttp-3.10.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.2 MB)Collecting certifi>=2023.11.17 Using cached certifi-2024.7.4-py3-none-any.whl (162 kB)Collecting aiohappyeyeballs>=2.3.0 Using cached aiohappyeyeballs-2.3.5-py3-none-any.whl (12 kB)Collecting attrs>=17.3.0 Using cached attrs-24.2.0-py3-none-any.whl (63 kB)Collecting async-timeout<5.0,>=4.0 Using cached async_timeout-4.0.3-py3-none-any.whl (5.7 kB)Collecting frozenlist>=1.1.1 Using cached frozenlist-1.4.1-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (240 kB)Collecting yarl<2.0,>=1.0 Using cached yarl-1.9.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (304 kB)Collecting aiosignal>=1.1.2 Using cached aiosignal-1.3.1-py3-none-any.whl (7.6 kB)Collecting multidict<7.0,>=4.5 Using cached multidict-6.0.5-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (123 kB)Collecting sniffio>=1.1 Using cached sniffio-1.3.1-py3-none-any.whl (10 kB)Collecting idna>=2.8 Using cached idna-3.7-py3-none-any.whl (66 kB)Collecting exceptiongroup>=1.0.2 Using cached exceptiongroup-1.2.2-py3-none-any.whl (16 kB)Collecting pycparser Using cached pycparser-2.22-py3-none-any.whl (117 kB)Collecting httpcore==1.* Using cached httpcore-1.0.5-py3-none-any.whl (77 kB)Collecting h11<0.15,>=0.13 Using cached h11-0.14.0-py3-none-any.whl (58 kB)Collecting antlr4-python3-runtime==4.8 Using cached antlr4-python3-runtime-4.8.tar.gz (112 kB) Preparing metadata (setup.py): started Preparing metadata (setup.py): finished with status 'done'Collecting zipp>=0.5 Using cached zipp-3.19.2-py3-none-any.whl (9.0 kB)Collecting mdurl~=0.1 Using cached mdurl-0.1.2-py3-none-any.whl (10.0 kB)Collecting pyparsing>=2.3.1 Using cached pyparsing-3.1.2-py3-none-any.whl (103 kB)Collecting kiwisolver>=1.3.1 Using cached kiwisolver-1.4.5-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (1.6 MB)Collecting contourpy>=1.0.1 Using cached contourpy-1.2.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (304 kB)Collecting python-dateutil>=2.7 Using cached python_dateutil-2.9.0.post0-py2.py3-none-any.whl (229 kB)Collecting fonttools>=4.22.0 Using cached fonttools-4.53.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.6 MB)Collecting cycler>=0.10 Using cached cycler-0.12.1-py3-none-any.whl (8.3 kB)Collecting llvmlite<0.44,>=0.43.0dev0 Using cached llvmlite-0.43.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (43.9 MB)Collecting pytz>=2020.1 Using cached pytz-2024.1-py2.py3-none-any.whl (505 kB)Collecting tzdata>=2022.7 Using cached tzdata-2024.1-py2.py3-none-any.whl (345 kB)Collecting platformdirs>=2.5.0 Using cached platformdirs-4.2.2-py3-none-any.whl (18 kB)Collecting pydantic-core==2.20.1 Using cached pydantic_core-2.20.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.1 MB)Collecting annotated-types>=0.4.0 Using cached annotated_types-0.7.0-py3-none-any.whl (13 kB)Collecting charset-normalizer<4,>=2 Using cached charset_normalizer-3.3.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (142 kB)Collecting lxml Using cached lxml-5.3.0-cp39-cp39-manylinux_2_28_x86_64.whl (5.0 MB)Collecting colorama Using cached colorama-0.4.6-py2.py3-none-any.whl (25 kB)Collecting portalocker Using cached portalocker-2.10.1-py3-none-any.whl (18 kB)Collecting tabulate>=0.8.9 Using cached tabulate-0.9.0-py3-none-any.whl (35 kB)Collecting tifffile>=2022.8.12 Using cached tifffile-2024.7.24-py3-none-any.whl (226 kB)Collecting lazy-loader>=0.4 Using cached lazy_loader-0.4-py3-none-any.whl (12 kB)Collecting imageio>=2.33 Using cached imageio-2.34.2-py3-none-any.whl (313 kB)Collecting threadpoolctl>=3.1.0 Using cached threadpoolctl-3.5.0-py3-none-any.whl (18 kB)Collecting shellingham>=1.3.0 Using cached shellingham-1.5.4-py2.py3-none-any.whl (9.8 kB)Collecting starlette<0.38.0,>=0.37.2 Using cached starlette-0.37.2-py3-none-any.whl (71 kB)Collecting mpmath<1.4,>=1.1.0 Using cached mpmath-1.3.0-py3-none-any.whl (536 kB)Installing collected packages: pytz, pydub, mpmath, bitarray, antlr4-python3-runtime, zipp, websockets, urllib3, tzdata, typing-extensions, tqdm, tomlkit, threadpoolctl, tensorboard-data-server, tabulate, sympy, sniffio, six, shellingham, semantic-version, safetensors, ruff, regex, pyyaml, python-multipart, pyparsing, pynvml, pygments, pycparser, protobuf, portalocker, platformdirs, pillow, packaging, orjson, nvidia-nvtx-cu12, nvidia-nvjitlink-cu12, nvidia-nccl-cu12, nvidia-curand-cu12, nvidia-cufft-cu12, nvidia-cuda-runtime-cu12, nvidia-cuda-nvrtc-cu12, nvidia-cuda-cupti-cu12, nvidia-cublas-cu12, numpy, networkx, multidict, mdurl, markupsafe, lxml, loguru, llvmlite, kiwisolver, joblib, itsdangerous, idna, h11, grpcio, future, fsspec, frozenlist, fonttools, filelock, ffmpy, exceptiongroup, einops, decorator, cython, cycler, colorama, click, charset-normalizer, certifi, blinker, audioread, attrs, async-timeout, annotated-types, aiohappyeyeballs, aiofiles, absl-py, yarl, Werkzeug, uvicorn, triton, tifffile, tensorboardX, scipy, sacrebleu, requests, pyworld, python-dateutil, pydantic-core, praat-parselmouth, onnx, omegaconf, nvidia-cusparse-cu12, nvidia-cudnn-cu12, numba, markdown-it-py, lazy-loader, langdetect, Jinja2, importlib-resources, importlib-metadata, imageio, httpcore, ffmpeg-python, faiss-cpu, contourpy, cffi, anyio, aiosignal, starlette, SoundFile, scikit-learn, scikit-image, rich, resampy, pydantic, pooch, pandas, onnxoptimizer, nvidia-cusolver-cu12, matplotlib, markdown, hydra-core, huggingface-hub, httpx, Flask, aiohttp, typer, torch, tokenizers, tensorboard, scikit-maad, onnxsim, librosa, gradio-client, Flask_Cors, fastapi, edge_tts, transformers, torchaudio, local_attention, gradio, torchcrepe, fairseq DEPRECATION: antlr4-python3-runtime is being installed using the legacy 'setup.py install' method, because it does not have a 'pyproject.toml' and the 'wheel' package is not installed. pip 23.1 will enforce this behaviour change. A possible replacement is to enable the '--use-pep517' option. Discussion can be found at https://github.com/pypa/pip/issues/8559 Running setup.py install for antlr4-python3-runtime: started Running setup.py install for antlr4-python3-runtime: finished with status 'done' Attempting uninstall: numpy Found existing installation: numpy 1.26.4 Not uninstalling numpy at /nix/store/x1r39izq1hzjz5qyz7mrw81wiwdj1rrc-python3.9-numpy-1.26.4/lib/python3.9/site-packages, outside environment /home/nahida/Private/so/.venv Can't uninstall 'numpy'. No files were found to uninstall. DEPRECATION: langdetect is being installed using the legacy 'setup.py install' method, because it does not have a 'pyproject.toml' and the 'wheel' package is not installed. pip 23.1 will enforce this behaviour change. A possible replacement is to enable the '--use-pep517' option. Discussion can be found at https://github.com/pypa/pip/issues/8559 Running setup.py install for langdetect: started Running setup.py install for langdetect: finished with status 'done'Successfully installed Flask-3.0.3 Flask_Cors-4.0.1 Jinja2-3.1.4 SoundFile-0.12.1 Werkzeug-3.0.3 absl-py-2.1.0 aiofiles-23.2.1 aiohappyeyeballs-2.3.5 aiohttp-3.10.3 aiosignal-1.3.1 annotated-types-0.7.0 antlr4-python3-runtime-4.8 anyio-4.4.0 async-timeout-4.0.3 attrs-24.2.0 audioread-3.0.1 bitarray-2.9.2 blinker-1.8.2 certifi-2024.7.4 cffi-1.17.0 charset-normalizer-3.3.2 click-8.1.7 colorama-0.4.6 contourpy-1.2.1 cycler-0.12.1 cython-3.0.11 decorator-5.1.1 edge_tts-6.1.12 einops-0.8.0 exceptiongroup-1.2.2 fairseq-0.12.2 faiss-cpu-1.8.0.post1 fastapi-0.112.0 ffmpeg-python-0.2.0 ffmpy-0.4.0 filelock-3.15.4 fonttools-4.53.1 frozenlist-1.4.1 fsspec-2024.6.1 future-1.0.0 gradio-4.41.0 gradio-client-1.3.0 grpcio-1.65.4 h11-0.14.0 httpcore-1.0.5 httpx-0.27.0 huggingface-hub-0.24.5 hydra-core-1.0.7 idna-3.7 imageio-2.34.2 importlib-metadata-8.2.0 importlib-resources-6.4.0 itsdangerous-2.2.0 joblib-1.4.2 kiwisolver-1.4.5 langdetect-1.0.9 lazy-loader-0.4 librosa-0.9.1 llvmlite-0.43.0 local_attention-1.9.14 loguru-0.7.2 lxml-5.3.0 markdown-3.6 markdown-it-py-3.0.0 markupsafe-2.1.5 matplotlib-3.9.1.post1 mdurl-0.1.2 mpmath-1.3.0 multidict-6.0.5 networkx-3.2.1 numba-0.60.0 numpy-1.23.5 nvidia-cublas-cu12-12.1.3.1 nvidia-cuda-cupti-cu12-12.1.105 nvidia-cuda-nvrtc-cu12-12.1.105 nvidia-cuda-runtime-cu12-12.1.105 nvidia-cudnn-cu12-9.1.0.70 nvidia-cufft-cu12-11.0.2.54 nvidia-curand-cu12-10.3.2.106 nvidia-cusolver-cu12-11.4.5.107 nvidia-cusparse-cu12-12.1.0.106 nvidia-nccl-cu12-2.20.5 nvidia-nvjitlink-cu12-12.6.20 nvidia-nvtx-cu12-12.1.105 omegaconf-2.0.6 onnx-1.16.2 onnxoptimizer-0.3.13 onnxsim-0.4.36 orjson-3.10.7 packaging-24.1 pandas-2.2.2 pillow-10.4.0 platformdirs-4.2.2 pooch-1.8.2 portalocker-2.10.1 praat-parselmouth-0.4.4 protobuf-4.25.4 pycparser-2.22 pydantic-2.8.2 pydantic-core-2.20.1 pydub-0.25.1 pygments-2.18.0 pynvml-11.5.3 pyparsing-3.1.2 python-dateutil-2.9.0.post0 python-multipart-0.0.9 pytz-2024.1 pyworld-0.3.4 pyyaml-6.0.2 regex-2024.7.24 requests-2.32.3 resampy-0.4.3 rich-13.7.1 ruff-0.5.7 sacrebleu-2.4.2 safetensors-0.4.4 scikit-image-0.24.0 scikit-learn-1.5.1 scikit-maad-1.4.3 scipy-1.10.0 semantic-version-2.10.0 shellingham-1.5.4 six-1.16.0 sniffio-1.3.1 starlette-0.37.2 sympy-1.13.1 tabulate-0.9.0 tensorboard-2.17.0 tensorboard-data-server-0.7.2 tensorboardX-2.6.2.2 threadpoolctl-3.5.0 tifffile-2024.7.24 tokenizers-0.19.1 tomlkit-0.12.0 torch-2.4.0 torchaudio-2.4.0 torchcrepe-0.0.23 tqdm-4.66.5 transformers-4.44.0 triton-3.0.0 typer-0.12.3 typing-extensions-4.12.2 tzdata-2024.1 urllib3-2.2.2 uvicorn-0.30.5 websockets-12.0 yarl-1.9.4 zipp-3.19.2
[notice] A new release of pip is available: 23.0.1 -> 24.2[notice] To update, run: pip install --upgrade pip转换段音频试试：
python inference_main.py -m logs/44k/nahida_G_40000.pth -c configs/nahida.json -t 0 -s nahida -cm logs/44k/nahida_kmeans_10000.pt -cr 0.5 -n test.wav -f0p harvest -t 10 转换成功！
输出
/home/nahida/Private/so-vits-svc/.venv/lib/python3.9/site-packages/torch/nn/utils/weight_norm.py:134: FutureWarning: `torch.nn.utils.weight_norm` is deprecated in favor of `torch.nn.utils.parametrizations.weight_norm`. WeightNorm.apply(module, name, dim)/home/nahida/Private/so-vits-svc/utils.py:157: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint_dict = torch.load(checkpoint_path, map_location='cpu')/home/nahida/Private/so-vits-svc/.venv/lib/python3.9/site-packages/fairseq/checkpoint_utils.py:315: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. state = torch.load(f, map_location=torch.device("cpu"))/home/nahida/Private/so-vits-svc/.venv/lib/python3.9/site-packages/torch/nn/utils/weight_norm.py:134: FutureWarning: `torch.nn.utils.weight_norm` is deprecated in favor of `torch.nn.utils.parametrizations.weight_norm`. WeightNorm.apply(module, name, dim)/home/nahida/Private/so-vits-svc/cluster/__init__.py:6: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. checkpoint = torch.load(ckpt_path)/home/nahida/Private/so-vits-svc/inference/infer_tool.py:270: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call. torchaudio.set_audio_backend("soundfile")/home/nahida/Private/so-vits-svc/inference/infer_tool.py:270: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call. torchaudio.set_audio_backend("soundfile")/home/nahida/Private/so-vits-svc/inference/infer_tool.py:270: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call. torchaudio.set_audio_backend("soundfile")/home/nahida/Private/so-vits-svc/inference/infer_tool.py:270: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call. torchaudio.set_audio_backend("soundfile")/home/nahida/Private/so-vits-svc/inference/infer_tool.py:270: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call. torchaudio.set_audio_backend("soundfile")/home/nahida/Private/so-vits-svc/inference/infer_tool.py:270: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call. torchaudio.set_audio_backend("soundfile")/home/nahida/Private/so-vits-svc/inference/infer_tool.py:270: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call. torchaudio.set_audio_backend("soundfile")/home/nahida/Private/so-vits-svc/inference/infer_tool.py:270: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call. torchaudio.set_audio_backend("soundfile")/home/nahida/Private/so-vits-svc/inference/infer_tool.py:270: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call. torchaudio.set_audio_backend("soundfile")/home/nahida/Private/so-vits-svc/inference/infer_tool.py:270: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call. torchaudio.set_audio_backend("soundfile")/home/nahida/Private/so-vits-svc/inference/infer_tool.py:270: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call. torchaudio.set_audio_backend("soundfile")/home/nahida/Private/so-vits-svc/inference/infer_tool.py:270: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call. torchaudio.set_audio_backend("soundfile")/home/nahida/Private/so-vits-svc/inference/infer_tool.py:270: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call. torchaudio.set_audio_backend("soundfile")/home/nahida/Private/so-vits-svc/inference/infer_tool.py:270: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call. torchaudio.set_audio_backend("soundfile")/home/nahida/Private/so-vits-svc/inference/infer_tool.py:270: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call. torchaudio.set_audio_backend("soundfile")/home/nahida/Private/so-vits-svc/inference/infer_tool.py:270: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call. torchaudio.set_audio_backend("soundfile")/home/nahida/Private/so-vits-svc/inference/infer_tool.py:270: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call. torchaudio.set_audio_backend("soundfile")/home/nahida/Private/so-vits-svc/inference/infer_tool.py:270: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call. torchaudio.set_audio_backend("soundfile")/home/nahida/Private/so-vits-svc/inference/infer_tool.py:270: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call. torchaudio.set_audio_backend("soundfile")/home/nahida/Private/so-vits-svc/inference/infer_tool.py:270: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call. torchaudio.set_audio_backend("soundfile")/home/nahida/Private/so-vits-svc/inference/infer_tool.py:270: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call. torchaudio.set_audio_backend("soundfile")/home/nahida/Private/so-vits-svc/inference/infer_tool.py:270: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call. torchaudio.set_audio_backend("soundfile")/home/nahida/Private/so-vits-svc/inference/infer_tool.py:270: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call. torchaudio.set_audio_backend("soundfile")/home/nahida/Private/so-vits-svc/inference/infer_tool.py:270: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call. torchaudio.set_audio_backend("soundfile")/home/nahida/Private/so-vits-svc/inference/infer_tool.py:270: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call. torchaudio.set_audio_backend("soundfile")/home/nahida/Private/so-vits-svc/inference/infer_tool.py:270: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call. torchaudio.set_audio_backend("soundfile")/home/nahida/Private/so-vits-svc/inference/infer_tool.py:270: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call. torchaudio.set_audio_backend("soundfile")loadload model(s) from pretrain/checkpoint_best_legacy_500.pt#=====segment start, 7.66s======jump empty segment#=====segment start, 5.42s======vits use time:3.462442636489868#=====segment start, 5.9s======vits use time:4.255711317062378#=====segment start, 4.94s======vits use time:1.9070079326629639#=====segment start, 6.3s======vits use time:2.5270442962646484#=====segment start, 7.2s======vits use time:3.1404824256896973#=====segment start, 6.94s======vits use time:2.893730640411377#=====segment start, 4.98s======vits use time:1.820495367050171#=====segment start, 6.52s======vits use time:2.7841036319732666#=====segment start, 6.34s======vits use time:2.4262890815734863#=====segment start, 5.06s======vits use time:2.149042844772339#=====segment start, 5.06s======vits use time:1.7513980865478516#=====segment start, 6.06s======vits use time:2.255300521850586#=====segment start, 5.98s======vits use time:2.4708659648895264#=====segment start, 7.16s======vits use time:4.472574234008789#=====segment start, 3.7s======vits use time:1.3285341262817383#=====segment start, 4.62s======vits use time:1.6644704341888428#=====segment start, 5.5s======vits use time:1.9458322525024414#=====segment start, 4.84s======vits use time:2.021371841430664#=====segment start, 5.3s======vits use time:2.7036304473876953#=====segment start, 8.72s======vits use time:5.952747821807861#=====segment start, 5.14s======vits use time:3.238168478012085#=====segment start, 5.1s======vits use time:3.3194198608398438#=====segment start, 6.16s======vits use time:2.434461832046509#=====segment start, 4.48s======vits use time:1.6480510234832764#=====segment start, 8.44s======vits use time:5.4331159591674805#=====segment start, 6.92s======vits use time:2.6755127906799316#=====segment start, 4.58s======vits use time:2.949699640274048#=====segment start, 0.269s======jump empty segment全文完。