Apple Silicon Installation - M1

[ngold5]

I can't seem to install on a Mac M1. Here is the error message associated with it

ERROR: Command errored out with exit status 1:
command: /opt/homebrew/Caskroom/miniforge/base/envs/pymc3_env/bin/python3.9 -u -c 'import io, os, sys, setuptools, tokenize; sys.argv[0] = '"'"'/private/var/folders/67/1zh45x_x17v1tz3sqxhy05kh0000gn/T/pip-install-_hnwmodl/torch-scatter_8a2ae8d9b26b4d20ad0a92e8aca914d0/setup.py'"'"'; file='"'"'/private/var/folders/67/1zh45x_x17v1tz3sqxhy05kh0000gn/T/pip-install-_hnwmodl/torch-scatter_8a2ae8d9b26b4d20ad0a92e8aca914d0/setup.py'"'"';f = getattr(tokenize, '"'"'open'"'"', open)(file) if os.path.exists(file) else io.StringIO('"'"'from setuptools import setup; setup()'"'"');code = f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, file, '"'"'exec'"'"'))' install --record /private/var/folders/67/1zh45x_x17v1tz3sqxhy05kh0000gn/T/pip-record-0nsnkgt5/install-record.txt --single-version-externally-managed --compile --install-headers /opt/homebrew/Caskroom/miniforge/base/envs/pymc3_env/include/python3.9/torch-scatter
cwd: /private/var/folders/67/1zh45x_x17v1tz3sqxhy05kh0000gn/T/pip-install-_hnwmodl/torch-scatter_8a2ae8d9b26b4d20ad0a92e8aca914d0/
Complete output (31 lines):
Compiling without OpenMP...
Compiling without OpenMP...
Compiling without OpenMP...
Compiling without OpenMP...
/opt/homebrew/Caskroom/miniforge/base/envs/pymc3_env/lib/python3.9/site-packages/setuptools/dist.py:717: UserWarning: Usage of dash-separated 'description-file' will not be supported in future versions. Please use the underscore name 'description_file' instead
warnings.warn(
running install
running build
running build_py
creating build
creating build/lib.macosx-11.0-arm64-3.9
creating build/lib.macosx-11.0-arm64-3.9/torch_scatter
copying torch_scatter/placeholder.py -> build/lib.macosx-11.0-arm64-3.9/torch_scatter
copying torch_scatter/init.py -> build/lib.macosx-11.0-arm64-3.9/torch_scatter
copying torch_scatter/segment_csr.py -> build/lib.macosx-11.0-arm64-3.9/torch_scatter
copying torch_scatter/segment_coo.py -> build/lib.macosx-11.0-arm64-3.9/torch_scatter
copying torch_scatter/utils.py -> build/lib.macosx-11.0-arm64-3.9/torch_scatter
copying torch_scatter/scatter.py -> build/lib.macosx-11.0-arm64-3.9/torch_scatter
creating build/lib.macosx-11.0-arm64-3.9/torch_scatter/composite
copying torch_scatter/composite/std.py -> build/lib.macosx-11.0-arm64-3.9/torch_scatter/composite
copying torch_scatter/composite/init.py -> build/lib.macosx-11.0-arm64-3.9/torch_scatter/composite
copying torch_scatter/composite/logsumexp.py -> build/lib.macosx-11.0-arm64-3.9/torch_scatter/composite
copying torch_scatter/composite/softmax.py -> build/lib.macosx-11.0-arm64-3.9/torch_scatter/composite
running build_ext
building 'torch_scatter._scatter_cpu' extension
creating build/temp.macosx-11.0-arm64-3.9
creating build/temp.macosx-11.0-arm64-3.9/csrc
creating build/temp.macosx-11.0-arm64-3.9/csrc/cpu
arm64-apple-darwin20.0.0-clang -Wno-unused-result -Wsign-compare -Wunreachable-code -DNDEBUG -fwrapv -O2 -Wall -ftree-vectorize -fPIC -fPIE -fstack-protector-strong -O2 -pipe -isystem /opt/homebrew/Caskroom/miniforge/base/envs/pymc3_env/include -arch arm64 -ftree-vectorize -fPIC -fPIE -fstack-protector-strong -O2 -pipe -isystem /opt/homebrew/Caskroom/miniforge/base/envs/pymc3_env/include -arch arm64 -falign-functions-8 -D_FORTIFY_SOURCE=2 -isystem /opt/homebrew/Caskroom/miniforge/base/envs/pymc3_env/include -Icsrc -I/opt/homebrew/Caskroom/miniforge/base/envs/pymc3_env/lib/python3.9/site-packages/torch/include -I/opt/homebrew/Caskroom/miniforge/base/envs/pymc3_env/lib/python3.9/site-packages/torch/include/torch/csrc/api/include -I/opt/homebrew/Caskroom/miniforge/base/envs/pymc3_env/lib/python3.9/site-packages/torch/include/TH -I/opt/homebrew/Caskroom/miniforge/base/envs/pymc3_env/lib/python3.9/site-packages/torch/include/THC -I/opt/homebrew/Caskroom/miniforge/base/envs/pymc3_env/include/python3.9 -c csrc/cpu/scatter_cpu.cpp -o build/temp.macosx-11.0-arm64-3.9/csrc/cpu/scatter_cpu.o -O2 -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE="_clang" -DPYBIND11_STDLIB="_libcpp" -DPYBIND11_BUILD_ABI="_cxxabi1002" -DTORCH_EXTENSION_NAME=_scatter_cpu -D_GLIBCXX_USE_CXX11_ABI=0 -std=c++14
clang-11: error: unknown argument: '-falign-functions-8'
error: command '/opt/homebrew/Caskroom/miniforge/base/envs/pymc3_env/bin/arm64-apple-darwin20.0.0-clang' failed with exit code 1
----------------------------------------
ERROR: Command errored out with exit status 1: /opt/homebrew/Caskroom/miniforge/base/envs/pymc3_env/bin/python3.9 -u -c 'import io, os, sys, setuptools, tokenize; sys.argv[0] = '"'"'/private/var/folders/67/1zh45x_x17v1tz3sqxhy05kh0000gn/T/pip-install-_hnwmodl/torch-scatter_8a2ae8d9b26b4d20ad0a92e8aca914d0/setup.py'"'"'; file='"'"'/private/var/folders/67/1zh45x_x17v1tz3sqxhy05kh0000gn/T/pip-install-_hnwmodl/torch-scatter_8a2ae8d9b26b4d20ad0a92e8aca914d0/setup.py'"'"';f = getattr(tokenize, '"'"'open'"'"', open)(file) if os.path.exists(file) else io.StringIO('"'"'from setuptools import setup; setup()'"'"');code = f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, file, '"'"'exec'"'"'))' install --record /private/var/folders/67/1zh45x_x17v1tz3sqxhy05kh0000gn/T/pip-record-0nsnkgt5/install-record.txt --single-version-externally-managed --compile --install-headers

[rusty1s]

AFAIK, installing torch-scatter on M1 should work as well, but I have no machine to test that for myself. Maybe @reshinthadithyan can give you further guidance.

[reshinthadithyan]

@ngold5, can you point me to the command you used? I'll try to reproduce here. Everything works fine for me. This is my configuration,

torch                         1.9.0
torch-cluster                 1.5.9
torch-geometric               2.0.1              
torch-scatter                 2.0.7
torch-sparse                  0.6.10
torch-spline-conv             1.2.1

[ngold5]

@reshinthadithyan
I tried the following:
pip install torch-scatter -f https://pytorch-geometric.com/whl/torch-1.9.0+cpu.html

[pythonpanda2]

This took a long time to get here. But i managed to get a stable PyG ecosystem set up on my 2021 MacBook Pro Apple M1 Max (OSX 12.3.1 ). The following worked for me:

$ conda update conda

$ conda create -n M1Max  python=3.8

$ conda activate M1Max

$ conda install -y clang_osx-arm64 clangxx_osx-arm64 gfortran_osx-arm64

$ MACOSX_DEPLOYMENT_TARGET=12.3 CC=clang CXX=clang++ python -m pip --no-cache-dir   install torch torchvision torchaudio

$ python -c "import torch; print(torch.__version__)"  #---> (Confirm the version is 1.11.0)

$ MACOSX_DEPLOYMENT_TARGET=12.3 CC=clang CXX=clang++ python -m pip --no-cache-dir  install  torch-scatter -f https://data.pyg.org/whl/torch-1.11.0+${cpu}.html

$ MACOSX_DEPLOYMENT_TARGET=12.3 CC=clang CXX=clang++ python -m pip --no-cache-dir  install  torch-sparse -f https://data.pyg.org/whl/torch-1.11.0+${cpu}.html

$ MACOSX_DEPLOYMENT_TARGET=12.3 CC=clang CXX=clang++ python -m pip --no-cache-dir  install  torch-geometric

[driesmarzougui]

This took a long time to get here. But i managed to get a stable PyG ecosystem set up on my 2021 MacBook Pro Apple M1 Max (OSX 12.3.1 ). The following worked for me:

$ conda update conda

$ conda create -n M1Max  python=3.8

$ conda activate M1Max

$ conda install -y clang_osx-arm64 clangxx_osx-arm64 gfortran_osx-arm64

$ MACOSX_DEPLOYMENT_TARGET=12.3 CC=clang CXX=clang++ python -m pip --no-cache-dir   install torch torchvision torchaudio

$ python -c "import torch; print(torch.__version__)"  #---> (Confirm the version is 1.11.0)

$ MACOSX_DEPLOYMENT_TARGET=12.3 CC=clang CXX=clang++ python -m pip --no-cache-dir  install  torch-scatter -f https://data.pyg.org/whl/torch-1.11.0+${cpu}.html

$ MACOSX_DEPLOYMENT_TARGET=12.3 CC=clang CXX=clang++ python -m pip --no-cache-dir  install  torch-sparse -f https://data.pyg.org/whl/torch-1.11.0+${cpu}.html

$ MACOSX_DEPLOYMENT_TARGET=12.3 CC=clang CXX=clang++ python -m pip --no-cache-dir  install  torch-geometric

@pythonpanda2 thanks for sharing! Fixed my issues as well.

[sultanbeishenkulov]

This took a long time to get here. But i managed to get a stable PyG ecosystem set up on my 2021 MacBook Pro Apple M1 Max (OSX 12.3.1 ). The following worked for me:

$ conda update conda

$ conda create -n M1Max  python=3.8

$ conda activate M1Max

$ conda install -y clang_osx-arm64 clangxx_osx-arm64 gfortran_osx-arm64

$ MACOSX_DEPLOYMENT_TARGET=12.3 CC=clang CXX=clang++ python -m pip --no-cache-dir   install torch torchvision torchaudio

$ python -c "import torch; print(torch.__version__)"  #---> (Confirm the version is 1.11.0)

$ MACOSX_DEPLOYMENT_TARGET=12.3 CC=clang CXX=clang++ python -m pip --no-cache-dir  install  torch-scatter -f https://data.pyg.org/whl/torch-1.11.0+${cpu}.html

$ MACOSX_DEPLOYMENT_TARGET=12.3 CC=clang CXX=clang++ python -m pip --no-cache-dir  install  torch-sparse -f https://data.pyg.org/whl/torch-1.11.0+${cpu}.html

$ MACOSX_DEPLOYMENT_TARGET=12.3 CC=clang CXX=clang++ python -m pip --no-cache-dir  install  torch-geometric

Hello, thank you for sharing, I tried your way, but got that error after running this line:
conda install -y clang_osx-arm64 clangxx_osx-arm64 gfortran_osx-arm64
maybe you what is happening. Below is the error itself.

PackagesNotFoundError: The following packages are not available from current channels:

• gfortran_osx-arm64
• clangxx_osx-arm64
• clang_osx-arm64

Current channels:

• https://repo.anaconda.com/pkgs/main/osx-64
• https://repo.anaconda.com/pkgs/main/noarch
• https://repo.anaconda.com/pkgs/r/osx-64
• https://repo.anaconda.com/pkgs/r/noarch

To search for alternate channels that may provide the conda package you're
looking for, navigate to

https://anaconda.org

and use the search bar at the top of the page.

Thank you in advance and best regards.

[maximus-victor]

Thank you! Worked for me as well on OSX 12.4 and torch 1.12.1

conda update conda

conda create -n M1Max  python=3.9

conda activate M1Max

conda install -y clang_osx-arm64 clangxx_osx-arm64 gfortran_osx-arm64

MACOSX_DEPLOYMENT_TARGET=12.4 CC=clang CXX=clang++ python -m pip --no-cache-dir   install torch torchvision torchaudio

python -c "import torch; print(torch.__version__)"  #---> (Confirm the version is 1.12.1)

MACOSX_DEPLOYMENT_TARGET=12.4 CC=clang CXX=clang++ python -m pip --no-cache-dir  install  torch-scatter -f https://data.pyg.org/whl/torch-1.12.1+${cpu}.html

MACOSX_DEPLOYMENT_TARGET=12.4 CC=clang CXX=clang++ python -m pip --no-cache-dir  install  torch-sparse -f https://data.pyg.org/whl/torch-1.12.1+${cpu}.html

MACOSX_DEPLOYMENT_TARGET=12.4 CC=clang CXX=clang++ python -m pip --no-cache-dir  install  torch-geometric

and some other things that you need anyway:

MACOSX_DEPLOYMENT_TARGET=12.4 CC=clang CXX=clang++ python -m pip --no-cache-dir  install matplotlib

MACOSX_DEPLOYMENT_TARGET=12.4 CC=clang CXX=clang++ python -m pip --no-cache-dir  install networkx

[15100952349]

这花了很长时间才到这里。但我设法在我的 2021 MacBook Pro Apple M1 Max ( OSX 12.3.1 ) 上建立了一个稳定的 PyG 生态系统。以下对我有用：

$ conda update conda

$ conda create -n M1Max  python=3.8

$ conda activate M1Max

$ conda install -y clang_osx-arm64 clangxx_osx-arm64 gfortran_osx-arm64

$ MACOSX_DEPLOYMENT_TARGET=12.3 CC=clang CXX=clang++ python -m pip --no-cache-dir   install torch torchvision torchaudio

$ python -c "import torch; print(torch.__version__)"  #---> (Confirm the version is 1.11.0)

$ MACOSX_DEPLOYMENT_TARGET=12.3 CC=clang CXX=clang++ python -m pip --no-cache-dir  install  torch-scatter -f https://data.pyg.org/whl/torch-1.11.0+${cpu}.html

$ MACOSX_DEPLOYMENT_TARGET=12.3 CC=clang CXX=clang++ python -m pip --no-cache-dir  install  torch-sparse -f https://data.pyg.org/whl/torch-1.11.0+${cpu}.html

$ MACOSX_DEPLOYMENT_TARGET=12.3 CC=clang CXX=clang++ python -m pip --no-cache-dir  install  torch-geometric

Hello, thank you very much for your sharing, but now the Pytorch version of a paper I want to reproduce is 1.8.1, is there any way to operate this?
Looking forward to your reply and answers

[15100952349]

@ngold5，你能指出你使用的命令吗？我会尝试在这里重现。一切对我来说都很好。这是我的配置，

torch                         1.9.0
torch-cluster                 1.5.9
torch-geometric               2.0.1              
torch-scatter                 2.0.7
torch-sparse                  0.6.10
torch-spline-conv             1.2.1

Hello, can you share your specific configuration method, I want to configure Pytorch1.8.1 version.

[rusty1s]

I am not sure if PyTorch 1.8 supports M1. Do you desperately need such an old version?

[15100952349]

我不确定 PyTorch 1.8 是否支持 M1。你迫切需要这样一个旧版本吗？

Thank you very much for your reply. Because the PyTorch version of the code I reproduced for the paper is 1.8.1. At present, I used the method you shared to install version 1.12, and then there was a problem when running the code. It may be that the version is not compatible with the code.😭

[rusty1s]

What's the error message you are seeing? It shouldn't be too hard to update a code base to latest PyTorch version.

[SylviaSyp]

There is no suitable torch_sparse package for arm structure(only x86),so how can i install torch_sparse on my Macbook pro2021?

[rusty1s]

You need to install from source, either by cloning the package or running pip install --verbose torch-sparse.

[raffaelepojer]

Thank you! Worked for me as well on OSX 12.4 and torch 1.12.1

conda update conda

conda create -n M1Max  python=3.9

conda activate M1Max

conda install -y clang_osx-arm64 clangxx_osx-arm64 gfortran_osx-arm64

MACOSX_DEPLOYMENT_TARGET=12.4 CC=clang CXX=clang++ python -m pip --no-cache-dir   install torch torchvision torchaudio

python -c "import torch; print(torch.__version__)"  #---> (Confirm the version is 1.12.1)

MACOSX_DEPLOYMENT_TARGET=12.4 CC=clang CXX=clang++ python -m pip --no-cache-dir  install  torch-scatter -f https://data.pyg.org/whl/torch-1.12.1+${cpu}.html

MACOSX_DEPLOYMENT_TARGET=12.4 CC=clang CXX=clang++ python -m pip --no-cache-dir  install  torch-sparse -f https://data.pyg.org/whl/torch-1.12.1+${cpu}.html

MACOSX_DEPLOYMENT_TARGET=12.4 CC=clang CXX=clang++ python -m pip --no-cache-dir  install  torch-geometric

and some other things that you need anyway:

MACOSX_DEPLOYMENT_TARGET=12.4 CC=clang CXX=clang++ python -m pip --no-cache-dir  install matplotlib

MACOSX_DEPLOYMENT_TARGET=12.4 CC=clang CXX=clang++ python -m pip --no-cache-dir  install networkx

I'm trying to install pytorch geometric in MacOS Ventura 13.0.1 and I cannot install torch-sparse.
Anyone know how to do it? I've also change the MACOSX_DEPLOYMENT_TARGET to 13 but without any results ...

This is the error I get:

`Building wheels for collected packages: torch-sparse
Building wheel for torch-sparse (setup.py) ... error
error: subprocess-exited-with-error

× python setup.py bdist_wheel did not run successfully.
│ exit code: 1
╰─> [69 lines of output]
Compiling without OpenMP...
Compiling without OpenMP...
Compiling without OpenMP...
Compiling without OpenMP...
Compiling without OpenMP...
Compiling without OpenMP...
Compiling without OpenMP...
Compiling without OpenMP...
Compiling without OpenMP...
Compiling without OpenMP...
Compiling without OpenMP...
Compiling without OpenMP...
Compiling without OpenMP...
running bdist_wheel
running build
running build_py
creating build
creating build/lib.macosx-11.1-arm64-cpython-39
creating build/lib.macosx-11.1-arm64-cpython-39/torch_sparse
copying torch_sparse/matmul.py -> build/lib.macosx-11.1-arm64-cpython-39/torch_sparse
copying torch_sparse/permute.py -> build/lib.macosx-11.1-arm64-cpython-39/torch_sparse
copying torch_sparse/add.py -> build/lib.macosx-11.1-arm64-cpython-39/torch_sparse
copying torch_sparse/reduce.py -> build/lib.macosx-11.1-arm64-cpython-39/torch_sparse
copying torch_sparse/narrow.py -> build/lib.macosx-11.1-arm64-cpython-39/torch_sparse
copying torch_sparse/masked_select.py -> build/lib.macosx-11.1-arm64-cpython-39/torch_sparse
copying torch_sparse/cat.py -> build/lib.macosx-11.1-arm64-cpython-39/torch_sparse
copying torch_sparse/eye.py -> build/lib.macosx-11.1-arm64-cpython-39/torch_sparse
copying torch_sparse/convert.py -> build/lib.macosx-11.1-arm64-cpython-39/torch_sparse
copying torch_sparse/coalesce.py -> build/lib.macosx-11.1-arm64-cpython-39/torch_sparse
copying torch_sparse/init.py -> build/lib.macosx-11.1-arm64-cpython-39/torch_sparse
copying torch_sparse/tensor.py -> build/lib.macosx-11.1-arm64-cpython-39/torch_sparse
copying torch_sparse/bandwidth.py -> build/lib.macosx-11.1-arm64-cpython-39/torch_sparse
copying torch_sparse/mul.py -> build/lib.macosx-11.1-arm64-cpython-39/torch_sparse
copying torch_sparse/transpose.py -> build/lib.macosx-11.1-arm64-cpython-39/torch_sparse
copying torch_sparse/utils.py -> build/lib.macosx-11.1-arm64-cpython-39/torch_sparse
copying torch_sparse/diag.py -> build/lib.macosx-11.1-arm64-cpython-39/torch_sparse
copying torch_sparse/rw.py -> build/lib.macosx-11.1-arm64-cpython-39/torch_sparse
copying torch_sparse/storage.py -> build/lib.macosx-11.1-arm64-cpython-39/torch_sparse
copying torch_sparse/sample.py -> build/lib.macosx-11.1-arm64-cpython-39/torch_sparse
copying torch_sparse/spspmm.py -> build/lib.macosx-11.1-arm64-cpython-39/torch_sparse
copying torch_sparse/index_select.py -> build/lib.macosx-11.1-arm64-cpython-39/torch_sparse
copying torch_sparse/saint.py -> build/lib.macosx-11.1-arm64-cpython-39/torch_sparse
copying torch_sparse/select.py -> build/lib.macosx-11.1-arm64-cpython-39/torch_sparse
copying torch_sparse/spadd.py -> build/lib.macosx-11.1-arm64-cpython-39/torch_sparse
copying torch_sparse/padding.py -> build/lib.macosx-11.1-arm64-cpython-39/torch_sparse
copying torch_sparse/spmm.py -> build/lib.macosx-11.1-arm64-cpython-39/torch_sparse
copying torch_sparse/metis.py -> build/lib.macosx-11.1-arm64-cpython-39/torch_sparse
running egg_info
writing torch_sparse.egg-info/PKG-INFO
writing dependency_links to torch_sparse.egg-info/dependency_links.txt
writing requirements to torch_sparse.egg-info/requires.txt
writing top-level names to torch_sparse.egg-info/top_level.txt
reading manifest file 'torch_sparse.egg-info/SOURCES.txt'
reading manifest template 'MANIFEST.in'
warning: no previously-included files matching '*' found under directory 'test'
adding license file 'LICENSE'
writing manifest file 'torch_sparse.egg-info/SOURCES.txt'
running build_ext
building 'torch_sparse._spspmm_cpu' extension
creating build/temp.macosx-11.1-arm64-cpython-39
creating build/temp.macosx-11.1-arm64-cpython-39/csrc
creating build/temp.macosx-11.1-arm64-cpython-39/csrc/cpu
clang -Wno-unused-result -Wsign-compare -Wunreachable-code -DNDEBUG -fwrapv -O2 -Wall -ftree-vectorize -fPIC -fPIE -fstack-protector-strong -O2 -pipe -isystem /Users/raffaele/miniconda3/envs/torch/include -I/Users/raffaele/miniconda3/envs/torch/include -ftree-vectorize -fPIC -fPIE -fstack-protector-strong -O2 -pipe -isystem /Users/raffaele/miniconda3/envs/torch/include -ftree-vectorize -fPIC -fPIE -fstack-protector-strong -O2 -pipe -isystem /Users/raffaele/miniconda3/envs/torch/include -D_FORTIFY_SOURCE=2 -isystem /Users/raffaele/miniconda3/envs/torch/include -DWITH_PYTHON -Icsrc -Ithird_party/parallel-hashmap -I/Users/raffaele/miniconda3/envs/torch/lib/python3.9/site-packages/torch/include -I/Users/raffaele/miniconda3/envs/torch/lib/python3.9/site-packages/torch/include/torch/csrc/api/include -I/Users/raffaele/miniconda3/envs/torch/lib/python3.9/site-packages/torch/include/TH -I/Users/raffaele/miniconda3/envs/torch/lib/python3.9/site-packages/torch/include/THC -I/Users/raffaele/miniconda3/envs/torch/include/python3.9 -c csrc/cpu/spspmm_cpu.cpp -o build/temp.macosx-11.1-arm64-cpython-39/csrc/cpu/spspmm_cpu.o -O2 -Wno-sign-compare -arch arm64 -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE="_clang" -DPYBIND11_STDLIB="_libcpp" -DPYBIND11_BUILD_ABI="_cxxabi1002" -DTORCH_EXTENSION_NAME=_spspmm_cpu -D_GLIBCXX_USE_CXX11_ABI=0 -std=c++14
In file included from csrc/cpu/spspmm_cpu.cpp:3:
csrc/cpu/utils.h:40:3: error: use of undeclared identifier 'CHECK_LT'
CHECK_LT(low, high);
^
1 error generated.
error: command '/Users/raffaele/miniconda3/envs/torch/bin/clang' 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 torch-sparse
Running setup.py clean for torch-sparse
Failed to build torch-sparse
Installing collected packages: torch-sparse
Running setup.py install for torch-sparse ... error
error: subprocess-exited-with-error

× Running setup.py install for torch-sparse did not run successfully.
│ exit code: 1
╰─> [71 lines of output]
Compiling without OpenMP...
Compiling without OpenMP...
Compiling without OpenMP...
Compiling without OpenMP...
Compiling without OpenMP...
Compiling without OpenMP...
Compiling without OpenMP...
Compiling without OpenMP...
Compiling without OpenMP...
Compiling without OpenMP...
Compiling without OpenMP...
Compiling without OpenMP...
Compiling without OpenMP...
running install
/Users/raffaele/miniconda3/envs/torch/lib/python3.9/site-packages/setuptools/command/install.py:34: SetuptoolsDeprecationWarning: setup.py install is deprecated. Use build and pip and other standards-based tools.
warnings.warn(
running build
running build_py
creating build
creating build/lib.macosx-11.1-arm64-cpython-39
creating build/lib.macosx-11.1-arm64-cpython-39/torch_sparse
copying torch_sparse/matmul.py -> build/lib.macosx-11.1-arm64-cpython-39/torch_sparse
copying torch_sparse/permute.py -> build/lib.macosx-11.1-arm64-cpython-39/torch_sparse
copying torch_sparse/add.py -> build/lib.macosx-11.1-arm64-cpython-39/torch_sparse
copying torch_sparse/reduce.py -> build/lib.macosx-11.1-arm64-cpython-39/torch_sparse
copying torch_sparse/narrow.py -> build/lib.macosx-11.1-arm64-cpython-39/torch_sparse
copying torch_sparse/masked_select.py -> build/lib.macosx-11.1-arm64-cpython-39/torch_sparse
copying torch_sparse/cat.py -> build/lib.macosx-11.1-arm64-cpython-39/torch_sparse
copying torch_sparse/eye.py -> build/lib.macosx-11.1-arm64-cpython-39/torch_sparse
copying torch_sparse/convert.py -> build/lib.macosx-11.1-arm64-cpython-39/torch_sparse
copying torch_sparse/coalesce.py -> build/lib.macosx-11.1-arm64-cpython-39/torch_sparse
copying torch_sparse/init.py -> build/lib.macosx-11.1-arm64-cpython-39/torch_sparse
copying torch_sparse/tensor.py -> build/lib.macosx-11.1-arm64-cpython-39/torch_sparse
copying torch_sparse/bandwidth.py -> build/lib.macosx-11.1-arm64-cpython-39/torch_sparse
copying torch_sparse/mul.py -> build/lib.macosx-11.1-arm64-cpython-39/torch_sparse
copying torch_sparse/transpose.py -> build/lib.macosx-11.1-arm64-cpython-39/torch_sparse
copying torch_sparse/utils.py -> build/lib.macosx-11.1-arm64-cpython-39/torch_sparse
copying torch_sparse/diag.py -> build/lib.macosx-11.1-arm64-cpython-39/torch_sparse
copying torch_sparse/rw.py -> build/lib.macosx-11.1-arm64-cpython-39/torch_sparse
copying torch_sparse/storage.py -> build/lib.macosx-11.1-arm64-cpython-39/torch_sparse
copying torch_sparse/sample.py -> build/lib.macosx-11.1-arm64-cpython-39/torch_sparse
copying torch_sparse/spspmm.py -> build/lib.macosx-11.1-arm64-cpython-39/torch_sparse
copying torch_sparse/index_select.py -> build/lib.macosx-11.1-arm64-cpython-39/torch_sparse
copying torch_sparse/saint.py -> build/lib.macosx-11.1-arm64-cpython-39/torch_sparse
copying torch_sparse/select.py -> build/lib.macosx-11.1-arm64-cpython-39/torch_sparse
copying torch_sparse/spadd.py -> build/lib.macosx-11.1-arm64-cpython-39/torch_sparse
copying torch_sparse/padding.py -> build/lib.macosx-11.1-arm64-cpython-39/torch_sparse
copying torch_sparse/spmm.py -> build/lib.macosx-11.1-arm64-cpython-39/torch_sparse
copying torch_sparse/metis.py -> build/lib.macosx-11.1-arm64-cpython-39/torch_sparse
running egg_info
writing torch_sparse.egg-info/PKG-INFO
writing dependency_links to torch_sparse.egg-info/dependency_links.txt
writing requirements to torch_sparse.egg-info/requires.txt
writing top-level names to torch_sparse.egg-info/top_level.txt
reading manifest file 'torch_sparse.egg-info/SOURCES.txt'
reading manifest template 'MANIFEST.in'
warning: no previously-included files matching '*' found under directory 'test'
adding license file 'LICENSE'
writing manifest file 'torch_sparse.egg-info/SOURCES.txt'
running build_ext
building 'torch_sparse._spspmm_cpu' extension
creating build/temp.macosx-11.1-arm64-cpython-39
creating build/temp.macosx-11.1-arm64-cpython-39/csrc
creating build/temp.macosx-11.1-arm64-cpython-39/csrc/cpu
clang -Wno-unused-result -Wsign-compare -Wunreachable-code -DNDEBUG -fwrapv -O2 -Wall -ftree-vectorize -fPIC -fPIE -fstack-protector-strong -O2 -pipe -isystem /Users/raffaele/miniconda3/envs/torch/include -I/Users/raffaele/miniconda3/envs/torch/include -ftree-vectorize -fPIC -fPIE -fstack-protector-strong -O2 -pipe -isystem /Users/raffaele/miniconda3/envs/torch/include -ftree-vectorize -fPIC -fPIE -fstack-protector-strong -O2 -pipe -isystem /Users/raffaele/miniconda3/envs/torch/include -D_FORTIFY_SOURCE=2 -isystem /Users/raffaele/miniconda3/envs/torch/include -DWITH_PYTHON -Icsrc -Ithird_party/parallel-hashmap -I/Users/raffaele/miniconda3/envs/torch/lib/python3.9/site-packages/torch/include -I/Users/raffaele/miniconda3/envs/torch/lib/python3.9/site-packages/torch/include/torch/csrc/api/include -I/Users/raffaele/miniconda3/envs/torch/lib/python3.9/site-packages/torch/include/TH -I/Users/raffaele/miniconda3/envs/torch/lib/python3.9/site-packages/torch/include/THC -I/Users/raffaele/miniconda3/envs/torch/include/python3.9 -c csrc/cpu/spspmm_cpu.cpp -o build/temp.macosx-11.1-arm64-cpython-39/csrc/cpu/spspmm_cpu.o -O2 -Wno-sign-compare -arch arm64 -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_TYPE="_clang" -DPYBIND11_STDLIB="_libcpp" -DPYBIND11_BUILD_ABI="_cxxabi1002" -DTORCH_EXTENSION_NAME=_spspmm_cpu -D_GLIBCXX_USE_CXX11_ABI=0 -std=c++14
In file included from csrc/cpu/spspmm_cpu.cpp:3:
csrc/cpu/utils.h:40:3: error: use of undeclared identifier 'CHECK_LT'
CHECK_LT(low, high);
^
1 error generated.
error: command '/Users/raffaele/miniconda3/envs/torch/bin/clang' failed with exit code 1
[end of output]

note: This error originates from a subprocess, and is likely not a problem with pip.
error: legacy-install-failure

× Encountered error while trying to install package.
╰─> torch-sparse

note: This is an issue with the package mentioned above, not pip.
hint: See above for output from the failure.`

[FatemeMirzaeii]

same as @raffaelepojer. can't install torch-sparse

[baronep]

Same ^

[AtsushiHashimoto]

Same

[rusty1s]

This is fixed in torch-sparse master, so running

pip install git+https://github.com/rusty1s/pytorch_sparse.git

should work :)

[AtsushiHashimoto]

It has worked perfectly for me, thanks!

[baronep]

Same. Thanks!

[adferencz]

I'm still having issues compiling to native arm64 on PowerBook with M1 Max processor. I can compile fine when emulating (platform.processor() => 'i386').

Python 3.9 (platform.processor() => 'arm'), PyTorch 1.13 (torch.backends.mps.is_available() => True), installed through conda. Then "conda install clang_osx-arm64 clangxx_osx-arm64 gfortran_osx-arm64 --channel conda-forge" succeeds.

But:

pip install git+https://github.com/rusty1s/pytorch_sparse.git
Dies with:
subprocess.CalledProcessError: Command '['which', 'x86_64-apple-darwin13.4.0-clang++']' returned non-zero exit status 1.
While:
MACOSX_DEPLOYMENT_TARGET=12.6.1 CC=clang CXX=clang++ python -m pip --no-cache-dir install torch-sparse -f pip install git+https://github.com/rusty1s/pytorch_sparse.git
Dies with:
clang-14: error: the clang compiler does not support '-march=core2'

Are you currently supporting arm64 architecture natively? Is there a flag to the script that will fix this?

A side question: I assume scatter, sparse, etc. are not yet accelerated with MPS? Is that planned for the future?
Thanks!

[rusty1s]

I can install this package fine on my M1 on a fresh arm64 conda with only PyTorch installation (no need for me to install any additional compiler). Not sure what goes wrong on your end :(

We currently don't have plans to support MPS since we are currently in the process of upstreaming most of the components in torch-scatter and torch-sparse to PyTorch directly, e.g., see torch.scatter_reduce.

[adferencz]

Thank you! Not installing clang allowed the install to work. For pyg-lib and pytorch_sparse I had to compile from master

pip install git+https://github.com/pyg-team/pyg-lib.git

However, running the code is still an issue because the 'mps' device is not recognized by the scatter ops:

scatter_max(src, index, dim, out, dim_size)
Traceback (most recent call last):
File "/Users/abc/opt/miniconda3/envs/pyg3.9_m1/lib/python3.9/site-packages/torch/_ops.py", line 442, in call
return self._op(*args, **kwargs or {})
RuntimeError: src.device().is_cpu() INTERNAL ASSERT FAILED at "csrc/cpu/scatter_cpu.cpp":11, please report a bug to PyTorch. src must be CPU tensor

Possible workaround is to wrap all the operations with code to move the tensors to .cpu() and results back to .mps() when input is mps, though this is a bit ugly and may be expensive. Any other suggestions?

Do you have a timeframe for moving to the upstream components?

[rusty1s]

Yeah, that makes sense. I can't think of another workaround right now.

Note that torch.scatter is already upstreamed to PyTorch via torch.scatter_reduce, but I am not sure if it supports the mps device type.

[tnaber]

Thanks for all the help here.

On MacOS 13.0.1, I was able to install torch_scatter and torch_sparse using a clean conda environment with only torch 1.13.0 installed (so no clang as mentioned earlier). I used the following commands:

pip install git+https://github.com/rusty1s/pytorch_sparse.git
pip install git+https://github.com/rusty1s/pytorch_scatter.git

[danxfreeman]

pip install --install-option="--disable-embedded-cryptopp" torch_sparse worked for me

[joaoplay]

Thank you all for the help!

I was also able to create a fully functional conda environment with Pytorch 1.13.0, torch_sparse, torch_scatter and torch_cluster on my M1 Max processor and MacOS 13.0.1.

conda create -n pyg-m1 python=3.10
conda activate pyg-m1
pip install --no-cache-dir torch==1.13.0 torchvision torchaudio
pip install git+https://github.com/rusty1s/pytorch_sparse.git
pip install git+https://github.com/rusty1s/pytorch_scatter.git
pip install git+https://github.com/rusty1s/pytorch_cluster.git
pip --no-cache-dir install torch-geometric

[devCharaf]

This worked for me. Thanks :)

[ccbond]

Above commands also makes some version mistake for me, here is my config, maybe helpful for someone.

conda create -n torch python=3.8
conda activate torch
conda install -y clang_osx-arm64 clangxx_osx-arm64 gfortran_osx-arm64
MACOSX_DEPLOYMENT_TARGET=13.1 CC=clang CXX=clang++ python -m pip --no-cache-dir   install torch=1.11.0 torchvision torchaudio
python -c "import torch; print(torch.__version__)"  #---> (Confirm the version is 1.11.0)
MACOSX_DEPLOYMENT_TARGET=13.1 CC=clang CXX=clang++ python -m pip --no-cache-dir  install  torch-scatter -f https://data.pyg.org/whl/torch-1.11.0+${cpu}.html
MACOSX_DEPLOYMENT_TARGET=13.1 CC=clang CXX=clang++ python -m pip --no-cache-dir  install  torch-sparse==0.6.14 -f https://data.pyg.org/whl/torch-1.11.0+${cpu}.html
MACOSX_DEPLOYMENT_TARGET=13.1 CC=clang CXX=clang++ python -m pip --no-cache-dir  install  torch-geometric

[github-actions]

This issue had no activity for 6 months. It will be closed in 2 weeks unless there is some new activity. Is this issue already resolved?

[Shrut079]

MACOSX_DEPLOYMENT_TARGET=12.3 CC=clang CXX=clang++ python -m pip --no-cache-dir install torch-sparse -f https://data.pyg.org/whl/torch-1.11.0+${cpu}.html

Hey worked for me as well. Just wanted to add in a question. When you activate "M1Max", is that virtual environment that is being created in which we are installing PyTorch-Geometric?

[thegodone]

yes like for example : yourname env

conda create -n yourname python=3.8
conda activate yourname