is keg-only, which means it was not symlinked into /opt/homebrew,īecause this is an alternate version of another formula. Python 3.9.7 | packaged by conda-forge | (default, Sep 29 2021, 19:24:02)īrew install 'export PATH="/opt/homebrew/opt/ffmpeg/bin:$PATH"' > ~/.zshrcįfmpeg version 4.4.1 Copyright (c) 2000-2021 the FFmpeg developersīuilt with Apple clang version 13.0.0 (clang-1300.0.29.3)Ĭonfiguration: -prefix=/opt/homebrew/Cellar/ffmpeg/4.4.1_3 -enable-shared -enable-pthreads -enable-version3 -cc=clang -host-cflags= -host-ldflags= -enable-ffplay -enable-gnutls -enable-gpl -enable-libaom -enable-libbluray -enable-libdav1d -enable-libmp3lame -enable-libopus -enable-librav1e -enable-librist -enable-librubberband -enable-libsnappy -enable-libsrt -enable-libtesseract -enable-libtheora -enable-libvidstab -enable-libvmaf -enable-libvorbis -enable-libvpx -enable-libwebp -enable-libx264 -enable-libx265 -enable-libxml2 -enable-libxvid -enable-lzma -enable-libfontconfig -enable-libfreetype -enable-frei0r -enable-libass -enable-libopencore-amrnb -enable-libopencore-amrwb -enable-libopenjpeg -enable-libspeex -enable-libsoxr -enable-libzmq -enable-libzimg -disable-libjack -disable-indev=jack -enable-avresample -enable-videotoolbox Print( "GPU is", "available" if gpu else "NOT AVAILABLE") Gpu = len(tf.config.list_physical_devices( 'GPU'))> 0 To build NumPy from source linked to Apple Accelerate framework According to the release notes for NumPy 1.21.1, theseīugs have been resolved and building NumPy from source using theĪccelerate framework on MacOS >= 11.3 is now possible again. NumPy dropped support for using the Accelerate BLAS and LAPACK at Python -c "import numpy as np print(np._version_) np.show_config()" Python -m pip install tensorflow-metal=0.3.0 -i Ĭonda install -y pandas scikit-learn jupyterlab Python -m pip install tensorflow-macos=2.7 -i Next we can set up a new virtual environment called cv with pythonĬonda install -c apple tensorflow-deps=2.7 conda env remove -n env_nameĭisable the automatic activation of the base environment: 1Ĭonda config - set auto_activate_base false conda install -name env_name package_name #在指定环境中安装包 14.Ĭonda remove - name env_name package #删除指定环境中的包 15. conda remove -name env_name –-all #删除环境 11. name new_env_name -clone old_env_name #复制old_env_name为new_env_nameġ0. source activate env_name #切换至env_name环境 7. Package cache : /opt/homebrew/Caskroom/miniforge/base/pkgsĮnvs directories : /opt/homebrew/Caskroom/miniforge/base/envs Populated config files : /opt/homebrew/Caskroom/miniforge/base/.condarcīase environment : /opt/homebrew/Caskroom/miniforge/base (writable)Ĭonda av data dir : /opt/homebrew/Caskroom/miniforge/base/etc/conda ![]() User config file : /Users/luohanjie/.condarc Larger library of arm64 compatible packages. We use miniforge, a community package that provides a minimalisticĪnaconda install and uses the conda-forge branch to install packages.Ĭonda-forge provides community packages for Anaconda which has a much Is bloated and doesn’t always have the right packages for m1. The most popular packages to accomplish this is Anaconda, but anaconda You don’t want to change your system path and its dependencies. ![]() Virtual environments are a great way to separate differentĭependencies if you need different versions for different projects or if Homebrew/homebrew-core (git revision e1567b5f249 last commit ) If you would want to add the command brew after the installation isĮcho 'eval $(/opt/homebrew/bin/brew shellenv)' > $HOME/.zprofileĮval " $(/opt/homebrew/bin/brew shellenv)" MacOS Monterey 12.0.1 Install Xcode and Homebrew 1 1 Hardware: MacBook Pro with Apple M1 Max OS:
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