如果遇到ImportError: No module named numba这样的问题,安装numba即可,而安装numba依赖于llvmlite,因此解决方案如下: pip install numba #会自动安装numba及依赖 #如果没自动安装依赖llvmlite pip install llvmlite 版权声明:本文内容由互联网用户自发贡献,该文观点仅代表作者本人。
文章目录[隐藏] Spleeter 的简介 安装依赖 安装 tensorflow 和 llvmlite 安装 Spleeter 其他 Spleeter 的简介 有时我们需要对音频进行消除人声(原声)处理 安装 tensorflow 和 llvmlite 本来 tensorflow 和 llvmlite 应该能够通过 pip3 来自动安装,不知为何 reizhi 实测下来在 Debian 10 上会出现各种问题 之后前往这个页面下载 llvmlite ,按照和上一步中同样的方式,下载 llvmlite-0.36.0-cp37-cp37m-manylinux2010_x86_64.whl 并重命名为 ......
36 KB defaults numpy-base-1.15.0 | py27hfef472a_0 3.8 MB defaults llvmlite be UPDATED: conda: 4.4.11-py27_0 defaults --> 4.5.10-py27_0 defaults llvmlite ############################################################################################ | 100% llvmlite
setuptools in /usr/local/python-3.7.5/lib/python3.7/site-packages (from numba) (41.2.0) Collecting llvmlite /files.pythonhosted.org/packages/54/25/2b4015e2b0c3be2efa6870cf2cf2bd969dd0e5f937476fc13c102209df32/llvmlite local/python-3.7.5/lib/python3.7/site-packages (from numba) (1.20.2) Installing collected packages: llvmlite , numba Successfully installed llvmlite-0.36.0 numba-0.53.1 到这里我们还没退出当前shell,那么numba是已经安装成功了,可以用一个numba numba-users@continuum.io License: BSD Location: /home/dechin/.local/lib/python3.7/site-packages Requires: llvmlite
packages due to an EnvironmentError: [Errno 13] Permission denied: '/anaconda3/lib/python3.7/site-packages/llvmlite
packages due to an EnvironmentError: Errno 13 Permission denied: '/anaconda3/lib/python3.7/site-packages/llvmlite
conflicts.gradio 4.21.0 requires numpy~=1.0, but you have numpy 2.2.6 which is incompatible.Successfully installed llvmlite
appdata\roaming\python\python39\site-packages Requires: ffmpeg-python, httpx, librosa, llvmlite
Numba Numba是开源的JIT编译器,它通过llvmlite Python包,使用LLVM将Python的子集和NumPy翻译成快速的机器码。
581 KB libxml2 2.9.12 h72842e0_0 conda-forge/linux-64 Cached llvmlite KB/s Finished libogg (00m:05s) 199 KB 184 KB/s Finished llvmlite python3.9/site-packages (from cycler>=0.10->matplotlib->velocyto) (1.16.0) Requirement already satisfied: llvmlite
51 llvmlite==0.41.1 llvmlite LLVM的Python接口 在Python中使用LLVM的库。
anaconda3\envs\tf\lib\site-packages (from numba>=0.43.0->librosa) (58.0.4) Requirement already satisfied: llvmlite
h7a1dbc1_0 - libtiff=4.0.10=hb898794_2 - libxml2=2.9.9=h464c3ec_0 - libxslt=1.1.33=h579f668_0 - llvmlite
seaborn 0.12.2 0.13.0 statsmodels 0.13.5 0.14.0 实验二 Installing collected packages: stdlib_list, natsort, llvmlite session-info, numba, pynndescent, anndata, umap-learn, scanpy Successfully installed anndata-0.8.0 h5py-3.8.0 llvmlite
}, { "name": "linecache2", "version": "1.0.0-py27_0" }, { "name": "llvmlite "name": "libxslt", "version": "1.1.34-hc22bd24_0my90fdca" }, { "name": "llvmlite
56 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 56.3/56.3 kB 673.7 kB/s eta 0:00:00 Collecting llvmlite pypi.tuna.tsinghua.edu.cn/packages/36/93/6e1026f0640d413805064a2bd48fb4a1c103fafb545936efb2d1a604e68d/llvmlite pluggy, pip-api, pexpect, pathspec, parso, pandocfilters, oauthlib, nest-asyncio, multidict, MarkupSafe, llvmlite
site-packages (from numba->vaex-ml<0.12,>=0.11.0->vaex) (50.3.1.post20201107) Requirement already satisfied: llvmlite
2.9.8 hab757c2_1 libxslt 1.1.32 hb819dd2_0 llvmlite
lib/python3.7/dist-packages (from numbagg->xarray[complete]) (0.51.2) Requirement already satisfied: llvmlite