Tensorflow Federated能否安装在苹果硅M1上？

Question

我想把Tensorflow Federated安装在带有苹果硅M1的M1上。

我尝试过用pyenv安装Python3.9.1并创建一个虚拟环境。然后我安装了包裹。

pip install tensorflow-federated

安装Tensorflow Federated时由于依赖关系冲突而引发的一些错误。您可以在下面看到部分错误日志：

...

    clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
    clang: error: the clang compiler does not support 'faltivec', please use -maltivec and include altivec.h explicitly
    error: Command "clang -Wno-unused-result -Wsign-compare -Wunreachable-code -DNDEBUG -g -fwrapv -O3 -Wall -I/Library/Developer/CommandLineTools/SDKs/MacOSX.sdk/usr/include -I/Library/Developer/CommandLineTools/SDKs/MacOSX.sdk/usr/include -I/opt/homebrew/opt/openssl/include -I/opt/homebrew/opt/readline/include -DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -DNO_ATLAS_INFO=3 -DHAVE_CBLAS -Ibuild/src.macosx-11.2-arm64-3.9/numpy/core/src/umath -Ibuild/src.macosx-11.2-arm64-3.9/numpy/core/src/npymath -Ibuild/src.macosx-11.2-arm64-3.9/numpy/core/src/common -Inumpy/core/include -Ibuild/src.macosx-11.2-arm64-3.9/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/Users/user/projects/ucloud/federated/venv/include -I/Users/user/.pyenv/versions/3.9.1/include/python3.9 -Ibuild/src.macosx-11.2-arm64-3.9/numpy/core/src/common -Ibuild/src.macosx-11.2-arm64-3.9/numpy/core/src/npymath -c numpy/core/src/multiarray/array_assign_scalar.c -o build/temp.macosx-11.2-arm64-3.9/numpy/core/src/multiarray/array_assign_scalar.o -MMD -MF build/temp.macosx-11.2-arm64-3.9/numpy/core/src/multiarray/array_assign_scalar.o.d -faltivec -I/System/Library/Frameworks/vecLib.framework/Headers" failed with exit status 1
    ----------------------------------------
    ERROR: Failed building wheel for numpy
  Failed to build numpy
  ERROR: Could not build wheels for numpy which use PEP 517 and cannot be installed directly
  ----------------------------------------
WARNING: Discarding https://files.pythonhosted.org/packages/15/fb/86d26128a5ea42d20f402109e76a63e59845d73171887a08a43a28b847dc/h5py-3.0.0.tar.gz#sha256=7d3803be1b530c68c2955faba726dc0f591079b68941a0c0269b5384a42ab519 (from https://pypi.org/simple/h5py/) (requires-python:>=3.6). Command errored out with exit status 1: /Users/user/projects/ucloud/federated/venv/bin/python /Users/user/projects/ucloud/federated/venv/lib/python3.9/site-packages/pip install --ignore-installed --no-user --prefix /private/var/folders/14/3fhr7hps0yvfd43qp60rbw480000gn/T/pip-build-env-9ws6euzt/normal --no-warn-script-location --no-binary :none: --only-binary :none: -i https://pypi.org/simple -- 'numpy==1.12; python_version == "3.6"' pkgconfig 'numpy==1.19.3; python_version >= "3.9"' 'numpy==1.14.5; python_version == "3.7"' 'numpy==1.17.5; python_version == "3.8"' 'Cython>=0.29.14; python_version >= "3.8"' 'Cython>=0.29; python_version < "3.8"' Check the logs for full command output.
ERROR: Cannot install tensorflow-federated==0.1.0, tensorflow-federated==0.10.0, tensorflow-federated==0.10.1, tensorflow-federated==0.11.0, tensorflow-federated==0.12.0, tensorflow-federated==0.13.0, tensorflow-federated==0.13.1, tensorflow-federated==0.14.0, tensorflow-federated==0.15.0, tensorflow-federated==0.16.0, tensorflow-federated==0.16.1, tensorflow-federated==0.17.0, tensorflow-federated==0.18.0, tensorflow-federated==0.2.0, tensorflow-federated==0.3.0, tensorflow-federated==0.4.0, tensorflow-federated==0.5.0, tensorflow-federated==0.6.0, tensorflow-federated==0.7.0 and tensorflow-federated==0.9.0 because these package versions have conflicting dependencies.

The conflict is caused by:
    tensorflow-federated 0.18.0 depends on tensorflow~=2.4.0
    tensorflow-federated 0.17.0 depends on tensorflow-addons~=0.11.1
    tensorflow-federated 0.16.1 depends on tensorflow~=2.2.0
    tensorflow-federated 0.16.0 depends on tensorflow~=2.2.0
    tensorflow-federated 0.15.0 depends on tensorflow~=2.2.0
    tensorflow-federated 0.14.0 depends on tensorflow~=2.2.0
    tensorflow-federated 0.13.1 depends on tensorflow~=2.1.0
    tensorflow-federated 0.13.0 depends on tensorflow~=2.1.0
    tensorflow-federated 0.12.0 depends on tensorflow-addons~=0.7.0
    tensorflow-federated 0.11.0 depends on tensorflow~=2.0.0
    tensorflow-federated 0.10.1 depends on tensorflow-addons~=0.6.0
    tensorflow-federated 0.10.0 depends on tensorflow-addons~=0.6.0
    tensorflow-federated 0.9.0 depends on tfa-nightly
    tensorflow-federated 0.7.0 depends on tf-nightly
    tensorflow-federated 0.6.0 depends on tf-nightly
    tensorflow-federated 0.5.0 depends on tf-nightly
    tensorflow-federated 0.4.0 depends on tensorflow~=1.13
    tensorflow-federated 0.3.0 depends on tensorflow~=1.13
    tensorflow-federated 0.2.0 depends on tensorflow~=1.13
    tensorflow-federated 0.1.0 depends on tensorflow>=1.13.0rc2

To fix this you could try to:
1. loosen the range of package versions you've specified
2. remove package versions to allow pip attempt to solve the dependency conflict

ERROR: ResolutionImpossible: for help visit https://pip.pypa.io/en/latest/user_guide/#fixing-conflicting-dependencies

我想这是因为一些必需的软件包还没有准备好用ARM架构来满足苹果硅M1吗？我说的对吗？

现在有什么解决方案可以将Tensorflow Federated安装在带有苹果硅macOS的M1上？

2021年3月20日编辑：

感谢来自用户回答的博士学位。

通过跟踪这一赞扬，解决了numpy问题。

但依赖冲突仍然存在。

    Preparing wheel metadata ... done
Collecting h5py
  Using cached h5py-3.2.1.tar.gz (368 kB)
  Installing build dependencies ... done
  Getting requirements to build wheel ... done
  Installing backend dependencies ... |^[[-^[[done
    Preparing wheel metadata ... done
ERROR: Cannot install tensorflow-federated==0.1.0, tensorflow-federated==0.10.0, tensorflow-federated==0.10.1, tensorflow-federated==0.11.0, tensorflow-federated==0.12.0, tensorflow-federated==0.13.0, tensorflow-federated==0.13.1, tensorflow-federated==0.14.0, tensorflow-federated==0.15.0, tensorflow-federated==0.16.0, tensorflow-federated==0.16.1, tensorflow-federated==0.17.0, tensorflow-federated==0.18.0, tensorflow-federated==0.2.0, tensorflow-federated==0.3.0, tensorflow-federated==0.4.0, tensorflow-federated==0.5.0, tensorflow-federated==0.6.0, tensorflow-federated==0.7.0 and tensorflow-federated==0.9.0 because these package versions have conflicting dependencies.

The conflict is caused by:
    tensorflow-federated 0.18.0 depends on tensorflow~=2.4.0
    tensorflow-federated 0.17.0 depends on tensorflow~=2.3.0
    tensorflow-federated 0.16.1 depends on tensorflow-addons~=0.10.0
    tensorflow-federated 0.16.0 depends on tensorflow-addons~=0.10.0
    tensorflow-federated 0.15.0 depends on tensorflow-addons~=0.10.0
    tensorflow-federated 0.14.0 depends on tensorflow-addons~=0.9.1
    tensorflow-federated 0.13.1 depends on tensorflow~=2.1.0
    tensorflow-federated 0.13.0 depends on tensorflow~=2.1.0
    tensorflow-federated 0.12.0 depends on tensorflow~=2.1.0
    tensorflow-federated 0.11.0 depends on tensorflow-addons~=0.6.0
    tensorflow-federated 0.10.1 depends on tensorflow-addons~=0.6.0
    tensorflow-federated 0.10.0 depends on tensorflow-addons~=0.6.0
    tensorflow-federated 0.9.0 depends on tfa-nightly
    tensorflow-federated 0.7.0 depends on tf-nightly
    tensorflow-federated 0.6.0 depends on tf-nightly
    tensorflow-federated 0.5.0 depends on tf-nightly
    tensorflow-federated 0.4.0 depends on tensorflow~=1.13
    tensorflow-federated 0.3.0 depends on tensorflow~=1.13
    tensorflow-federated 0.2.0 depends on tensorflow~=1.13
    tensorflow-federated 0.1.0 depends on tensorflow>=1.13.0rc2

To fix this you could try to:
1. loosen the range of package versions you've specified
2. remove package versions to allow pip attempt to solve the dependency conflict

ERROR: ResolutionImpossible: for help visit https://pip.pypa.io/en/latest/user_guide/#fixing-conflicting-dependencies

Answer 1

我设法在Python3.9.13上安装了tensorflow-federated==0.24。以下是几个步骤：

• conda install tensorflow
• pip install tensorflow-metal (用于M1 GPU支持)
• conda install scipy=1.5.3
• 要解决grpcio的问题，请在当前终端中输入以下标志

export GRPC_PYTHON_BUILD_SYSTEM_OPENSSL=1
export GRPC_PYTHON_BUILD_SYSTEM_ZLIB=1

• pip install tensorflow-federated (应该正确构建一切，它应该安装版本0.24.0，而不是0.1.0)
• 使用conda更新JAX：conda install jax --force-reinstall