torch-cluster issue: No CUDA runtime is found

[YoavShamir5]

Hi, I generated a new conda env on windows with the following commands:

conda create -n envn python=3.10.9
conda install python=3.10.9 pytorch torchvision pytorch-cuda=11.7 -c pytorch -c nvidia
conda install cuda=11.7 -c nvidia
conda install pyg -c pyg

Then, I tried to install torch-cluster:
pip install torch_cluster -f https://data.pyg.org/whl/torch-2.0.1+cu117.html --no-cache-dir

But got an error message. Any ideas how could this be resolved? Please see error message and output of conda list below. Thanks!

error:

(envn) C:\Users\SYOAV>C:\Users\SYOAV\anaconda3\envs\envn\Scripts\pip install torch-cluster -f https://data.pyg.org/whl/torch-2.0.1+cu117.html --no-cache-dir
Looking in links: https://data.pyg.org/whl/torch-2.0.1+cu117.html
Collecting torch-cluster
Downloading torch_cluster-1.6.1.tar.gz (53 kB)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 53.8/53.8 kB 463.1 kB/s eta 0:00:00
Preparing metadata (setup.py) ... done
Requirement already satisfied: scipy in c:\users\syoav\anaconda3\envs\envn\lib\site-packages (from torch-cluster) (1.10.1)
Requirement already satisfied: numpy<1.27.0,>=1.19.5 in c:\users\syoav\anaconda3\envs\envn\lib\site-packages (from scipy->torch-cluster) (1.24.3)
Building wheels for collected packages: torch-cluster
Building wheel for torch-cluster (setup.py) ... error
error: subprocess-exited-with-error

× python setup.py bdist_wheel did not run successfully.
│ exit code: 1
╰─> [32 lines of output]
No CUDA runtime is found, using CUDA_HOME='C:\Users\SYOAV\anaconda3\envs\envn'
running bdist_wheel
running build
running build_py
creating build
creating build\lib.win-amd64-cpython-310
creating build\lib.win-amd64-cpython-310\torch_cluster
copying torch_cluster\fps.py -> build\lib.win-amd64-cpython-310\torch_cluster
copying torch_cluster\graclus.py -> build\lib.win-amd64-cpython-310\torch_cluster
copying torch_cluster\grid.py -> build\lib.win-amd64-cpython-310\torch_cluster
copying torch_cluster\knn.py -> build\lib.win-amd64-cpython-310\torch_cluster
copying torch_cluster\nearest.py -> build\lib.win-amd64-cpython-310\torch_cluster
copying torch_cluster\radius.py -> build\lib.win-amd64-cpython-310\torch_cluster
copying torch_cluster\rw.py -> build\lib.win-amd64-cpython-310\torch_cluster
copying torch_cluster\sampler.py -> build\lib.win-amd64-cpython-310\torch_cluster
copying torch_cluster\testing.py -> build\lib.win-amd64-cpython-310\torch_cluster
copying torch_cluster_init_.py -> build\lib.win-amd64-cpython-310\torch_cluster
running egg_info
writing torch_cluster.egg-info\PKG-INFO
writing dependency_links to torch_cluster.egg-info\dependency_links.txt
writing requirements to torch_cluster.egg-info\requires.txt
writing top-level names to torch_cluster.egg-info\top_level.txt
reading manifest file 'torch_cluster.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_cluster.egg-info\SOURCES.txt'
running build_ext
C:\Users\SYOAV\anaconda3\envs\envn\lib\site-packages\torch\utils\cpp_extension.py:359: UserWarning: Error checking compiler version for cl: [WinError 2] The system cannot find the file specified
warnings.warn(f'Error checking compiler version for {compiler}: {error}')
building 'torch_cluster._fps_cpu' extension
error: Microsoft Visual C++ 14.0 or greater is required. Get it with "Microsoft C++ Build Tools": https://visualstudio.microsoft.com/visual-cpp-build-tools/
[end of output]

note: This error originates from a subprocess, and is likely not a problem with pip.
ERROR: Failed building wheel for torch-cluster
Running setup.py clean for torch-cluster
Failed to build torch-cluster
ERROR: Could not build wheels for torch-cluster, which is required to install pyproject.toml-based projects

conda list:
(envn) C:\Users\SYOAV>conda list
packages in environment at C:\Users\SYOAV\anaconda3\envs\envn:

Name Version Build Channel
blas 2.116 mkl conda-forge
blas-devel 3.9.0 16_win64_mkl conda-forge
brotli 1.0.9 hcfcfb64_8 conda-forge
brotli-bin 1.0.9 hcfcfb64_8 conda-forge
bzip2 1.0.8 h8ffe710_4 conda-forge
ca-certificates 2023.5.7 h56e8100_0 conda-forge
certifi 2023.5.7 pyhd8ed1ab_0 conda-forge
charset-normalizer 3.1.0 pyhd8ed1ab_0 conda-forge
colorama 0.4.6 pyhd8ed1ab_0 conda-forge
cuda 11.7.1 0 nvidia
cuda-cccl 12.1.109 0 nvidia
cuda-command-line-tools 11.7.1 0 nvidia
cuda-compiler 12.1.1 0 nvidia
cuda-cudart 11.7.99 0 nvidia
cuda-cudart-dev 11.7.99 0 nvidia
cuda-cuobjdump 12.1.111 0 nvidia
cuda-cupti 11.7.101 0 nvidia
cuda-cuxxfilt 12.1.105 0 nvidia
cuda-demo-suite 12.1.105 0 nvidia
cuda-documentation 12.1.105 0 nvidia
cuda-libraries 11.7.1 0 nvidia
cuda-libraries-dev 11.7.1 0 nvidia
cuda-memcheck 11.8.86 0 nvidia
cuda-nsight-compute 12.1.1 0 nvidia
cuda-nvcc 12.1.105 0 nvidia
cuda-nvdisasm 12.1.105 0 nvidia
cuda-nvml-dev 12.1.105 0 nvidia
cuda-nvprof 12.1.105 0 nvidia
cuda-nvprune 12.1.105 0 nvidia
cuda-nvrtc 11.7.99 0 nvidia
cuda-nvrtc-dev 11.7.99 0 nvidia
cuda-nvtx 11.7.91 0 nvidia
cuda-nvvp 12.1.105 0 nvidia
cuda-runtime 11.7.1 0 nvidia
cuda-sanitizer-api 12.1.105 0 nvidia
cuda-toolkit 11.7.1 0 nvidia
cuda-tools 11.7.1 0 nvidia
cuda-visual-tools 11.7.1 0 nvidia
filelock 3.12.0 pyhd8ed1ab_0 conda-forge
freetype 2.12.1 h546665d_1 conda-forge
idna 3.4 pyhd8ed1ab_0 conda-forge
intel-openmp 2023.1.0 h57928b3_46319 conda-forge
jinja2 3.1.2 pyhd8ed1ab_1 conda-forge
joblib 1.2.0 pyhd8ed1ab_0 conda-forge
jpeg 9e hcfcfb64_3 conda-forge
lcms2 2.15 ha5c8aab_0 conda-forge
lerc 4.0.0 h63175ca_0 conda-forge
libblas 3.9.0 16_win64_mkl conda-forge
libbrotlicommon 1.0.9 hcfcfb64_8 conda-forge
libbrotlidec 1.0.9 hcfcfb64_8 conda-forge
libbrotlienc 1.0.9 hcfcfb64_8 conda-forge
libcblas 3.9.0 16_win64_mkl conda-forge
libcublas 11.10.3.66 0 nvidia
libcublas-dev 11.10.3.66 0 nvidia
libcufft 10.7.2.124 0 nvidia
libcufft-dev 10.7.2.124 0 nvidia
libcurand 10.3.2.106 0 nvidia
libcurand-dev 10.3.2.106 0 nvidia
libcusolver 11.4.0.1 0 nvidia
libcusolver-dev 11.4.0.1 0 nvidia
libcusparse 11.7.4.91 0 nvidia
libcusparse-dev 11.7.4.91 0 nvidia
libdeflate 1.17 hcfcfb64_0 conda-forge
libffi 3.4.2 h8ffe710_5 conda-forge
libhwloc 2.9.1 h51c2c0f_0 conda-forge
libiconv 1.17 h8ffe710_0 conda-forge
liblapack 3.9.0 16_win64_mkl conda-forge
liblapacke 3.9.0 16_win64_mkl conda-forge
libnpp 11.7.4.75 0 nvidia
libnpp-dev 11.7.4.75 0 nvidia
libnvjpeg 11.8.0.2 0 nvidia
libnvjpeg-dev 11.8.0.2 0 nvidia
libpng 1.6.39 h19919ed_0 conda-forge
libsqlite 3.42.0 hcfcfb64_0 conda-forge
libtiff 4.5.0 hf8721a0_2 conda-forge
libuv 1.44.2 h8ffe710_0 conda-forge
libwebp-base 1.3.0 hcfcfb64_0 conda-forge
libxcb 1.13 hcd874cb_1004 conda-forge
libxml2 2.10.4 hc3477c8_0 conda-forge
libzlib 1.2.13 hcfcfb64_4 conda-forge
m2w64-gcc-libgfortran 5.3.0 6 conda-forge
m2w64-gcc-libs 5.3.0 7 conda-forge
m2w64-gcc-libs-core 5.3.0 7 conda-forge
m2w64-gmp 6.1.0 2 conda-forge
m2w64-libwinpthread-git 5.0.0.4634.697f757 2 conda-forge
markupsafe 2.1.2 py310h8d17308_0 conda-forge
mkl 2022.1.0 h6a75c08_874 conda-forge
mkl-devel 2022.1.0 h57928b3_875 conda-forge
mkl-include 2022.1.0 h6a75c08_874 conda-forge
mpmath 1.3.0 pyhd8ed1ab_0 conda-forge
msys2-conda-epoch 20160418 1 conda-forge
networkx 3.1 pyhd8ed1ab_0 conda-forge
nsight-compute 2023.1.1.4 0 nvidia
numpy 1.24.3 py310hd02465a_0 conda-forge
openjpeg 2.5.0 ha2aaf27_2 conda-forge
openssl 3.1.0 hcfcfb64_3 conda-forge
packaging 23.1 pyhd8ed1ab_0 conda-forge
pillow 9.4.0 py310hdbb7713_1 conda-forge
pip 23.1.2 pyhd8ed1ab_0 conda-forge
platformdirs 3.5.1 pyhd8ed1ab_0 conda-forge
pooch 1.7.0 pyha770c72_3 conda-forge
psutil 5.9.5 py310h8d17308_0 conda-forge
pthread-stubs 0.4 hcd874cb_1001 conda-forge
pthreads-win32 2.9.1 hfa6e2cd_3 conda-forge
pyg 2.3.0 py310_torch_2.0.0_cu117 pyg
pyparsing 3.0.9 pyhd8ed1ab_0 conda-forge
pysocks 1.7.1 pyh0701188_6 conda-forge
python 3.10.9 h4de0772_0_cpython conda-forge
python_abi 3.10 3_cp310 conda-forge
pytorch 2.0.1 py3.10_cuda11.7_cudnn8_0 pytorch
pytorch-cuda 11.7 h16d0643_5 pytorch
pytorch-mutex 1.0 cuda pytorch
requests 2.31.0 pyhd8ed1ab_0 conda-forge
scikit-learn 1.2.2 py310hd266714_1 conda-forge
scipy 1.10.1 py310h578b7cb_3 conda-forge
setuptools 67.7.2 pyhd8ed1ab_0 conda-forge
sqlite 3.42.0 hcfcfb64_0 conda-forge
sympy 1.12 pyh04b8f61_3 conda-forge
tbb 2021.9.0 h91493d7_0 conda-forge
threadpoolctl 3.1.0 pyh8a188c0_0 conda-forge
tk 8.6.12 h8ffe710_0 conda-forge
torchvision 0.15.2 pypi_0 pypi
tqdm 4.65.0 pyhd8ed1ab_1 conda-forge
typing-extensions 4.6.0 hd8ed1ab_0 conda-forge
typing_extensions 4.6.0 pyha770c72_0 conda-forge
tzdata 2023c h71feb2d_0 conda-forge
ucrt 10.0.22621.0 h57928b3_0 conda-forge
urllib3 2.0.2 pyhd8ed1ab_0 conda-forge
vc 14.3 hb25d44b_16 conda-forge
vc14_runtime 14.34.31931 h5081d32_16 conda-forge
vs2015_runtime 14.34.31931 hed1258a_16 conda-forge
wheel 0.40.0 pyhd8ed1ab_0 conda-forge
win_inet_pton 1.1.0 pyhd8ed1ab_6 conda-forge
xorg-libxau 1.0.11 hcd874cb_0 conda-forge
xorg-libxdmcp 1.1.3 hcd874cb_0 conda-forge
xz 5.4.2 h8cc25b3_0
zlib 1.2.13 hcfcfb64_4 conda-forge
zstd 1.5.2 h12be248_6 conda-forge

[wsad1]

Windows binaries are not available for conda yet (see here). Try using pip for your installation.

[YoavShamir5]

Hi, thanks for the quick reply - do you mean using pip to install torch_geometric? I installed with conda and that seems to work, only torch_cluster, torch_scatter etc. were resulting in an error.

[YoavShamir5]

all good now - thanks for the quick reply!

[rusty1s]

Also try

pip install torch_cluster -f https://data.pyg.org/whl/torch-2.0.0+cu117.html --no-cache-dir

It looks like it currently tries to build from source (due to the missing torch-2.0.1+cu117.html page on our end).

[YoavShamir5]

That solved it - thanks for helping me out so quickly!