[skip ci] conda

.github/workflows/building-conda.yml

+name: Building Conda
+
+on: [workflow_dispatch]
+
+jobs:
+
+  conda-build:
+    runs-on: ${{ matrix.os }}
+
+    strategy:
+      fail-fast: false
+      matrix:
+        os: [ubuntu-16.04, macos-10.15, windows-latest]
+        python-version: [3.6, 3.7, 3.8, 3.9]
+        torch-version: [1.8.0, 1.9.0]
+        cuda-version: ['cpu', 'cu101', 'cu102', 'cu111']
+        exclude:
+          - torch-version: 1.9.0
+            cuda-version: 'cu101'
+          - os: macos-10.15
+            cuda-version: 'cu101'
+          - os: macos-10.15
+            cuda-version: 'cu102'
+          - os: macos-10.15
+            cuda-version: 'cu111'
+          - os: windows-latest
+            cuda-version: 'cu101'
+
+    steps:
+      - uses: actions/checkout@v2
+      - name: Set up Conda for Python ${{ matrix.python-version }}
+        uses: conda-incubator/setup-miniconda@v2
+        with:
+          python-version: ${{ matrix.python-version }}
+
+      - name: Install Conda packages
+        run: |
+          conda install conda-build conda-verify --yes
+        shell:
+          bash -l {0}
+
+      - name: Install CUDA ${{ matrix.cuda-version }}
+        if: ${{ matrix.cuda-version != 'cpu' }}
+        run: |
+          bash .github/workflows/cuda/${{ matrix.cuda-version }}-${{ runner.os }}.sh
+        shell:
+          bash
+
+      - name: Build Conda package for CPU
+        if: ${{ matrix.cuda-version == 'cpu' }}
+        run: |
+          FORCE_CUDA=0 ./conda/pytorch-sparse/build_conda.sh ${{ matrix.python-version }} ${{ matrix.torch-version }} ${{ matrix.cuda-version }}
+        shell:
+          bash -l {0}
+
+      - name: Build Conda package for GPU
+        if: ${{ matrix.cuda-version != 'cpu' }}
+        run: |
+          source .github/workflows/cuda/${{ matrix.cuda-version }}-${{ runner.os }}-env.sh
+          FORCE_CUDA=1 ./conda/pytorch-sparse/build_conda.sh ${{ matrix.python-version }} ${{ matrix.torch-version }} ${{ matrix.cuda-version }}
+        shell:
+          bash -l {0}
+
+      - name: Publish Conda package
+        run: |
+          conda install anaconda-client --yes
+          anaconda upload --force --label main $HOME/conda-bld/*/*.tar.bz2
+        env:
+          ANACONDA_API_TOKEN: ${{ secrets.ANACONDA_TOKEN }}
+        shell:
+          bash -l {0}

.github/workflows/building.yml

@@ -10,7 +10,7 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        os: [ubuntu-18.04, macos-10.15, windows-latest]
+        os: [ubuntu-16.04, macos-10.15, windows-latest]
         python-version: [3.6, 3.7, 3.8, 3.9]
         torch-version: [1.8.0, 1.9.0]
         cuda-version: ['cpu', 'cu101', 'cu102', 'cu111']

.github/workflows/cuda/cu101-Linux.sh

 #!/bin/bash
 
-wget -nv https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/cuda-ubuntu1804.pin
-sudo mv cuda-ubuntu1804.pin /etc/apt/preferences.d/cuda-repository-pin-600
-wget -nv https://developer.download.nvidia.com/compute/cuda/10.1/Prod/local_installers/cuda-repo-ubuntu1804-10-1-local-10.1.243-418.87.00_1.0-1_amd64.deb
-sudo dpkg -i cuda-repo-ubuntu1804-10-1-local-10.1.243-418.87.00_1.0-1_amd64.deb
+OS=ubuntu1604
+
+wget -nv https://developer.download.nvidia.com/compute/cuda/repos/${OS}/x86_64/cuda-${OS}.pin
+sudo mv cuda-${OS}.pin /etc/apt/preferences.d/cuda-repository-pin-600
+wget -nv https://developer.download.nvidia.com/compute/cuda/10.1/Prod/local_installers/cuda-repo-${OS}-10-1-local-10.1.243-418.87.00_1.0-1_amd64.deb
+sudo dpkg -i cuda-repo-${OS}-10-1-local-10.1.243-418.87.00_1.0-1_amd64.deb
 sudo apt-key add /var/cuda-repo-10-1-local-10.1.243-418.87.00/7fa2af80.pub
 
 sudo apt-get -qq update
 sudo apt install cuda-nvcc-10-1 cuda-libraries-dev-10-1
 sudo apt clean
 
-rm -f https://developer.download.nvidia.com/compute/cuda/10.1/Prod/local_installers/cuda-repo-ubuntu1804-10-1-local-10.1.243-418.87.00_1.0-1_amd64.deb
+rm -f https://developer.download.nvidia.com/compute/cuda/10.1/Prod/local_installers/cuda-repo-${OS}-10-1-local-10.1.243-418.87.00_1.0-1_amd64.deb

.github/workflows/cuda/cu102-Linux.sh

 #!/bin/bash
 
-wget -nv https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/cuda-ubuntu1804.pin
-sudo mv cuda-ubuntu1804.pin /etc/apt/preferences.d/cuda-repository-pin-600
-wget -nv https://developer.download.nvidia.com/compute/cuda/10.2/Prod/local_installers/cuda-repo-ubuntu1804-10-2-local-10.2.89-440.33.01_1.0-1_amd64.deb
-sudo dpkg -i cuda-repo-ubuntu1804-10-2-local-10.2.89-440.33.01_1.0-1_amd64.deb
+OS=ubuntu1604
+
+# Ubuntu-18.04
+wget -nv https://developer.download.nvidia.com/compute/cuda/repos/${OS}/x86_64/cuda-${OS}.pin
+sudo mv cuda-${OS}.pin /etc/apt/preferences.d/cuda-repository-pin-600
+wget -nv https://developer.download.nvidia.com/compute/cuda/10.2/Prod/local_installers/cuda-repo-${OS}-10-2-local-10.2.89-440.33.01_1.0-1_amd64.deb
+sudo dpkg -i cuda-repo-${OS}-10-2-local-10.2.89-440.33.01_1.0-1_amd64.deb
 sudo apt-key add /var/cuda-repo-10-2-local-10.2.89-440.33.01/7fa2af80.pub
 
 sudo apt-get -qq update
 sudo apt install cuda-nvcc-10-2 cuda-libraries-dev-10-2
 sudo apt clean
 
-rm -f https://developer.download.nvidia.com/compute/cuda/10.2/Prod/local_installers/cuda-repo-ubuntu1804-10-2-local-10.2.89-440.33.01_1.0-1_amd64.deb
+rm -f https://developer.download.nvidia.com/compute/cuda/10.2/Prod/local_installers/cuda-repo-${OS}-10-2-local-10.2.89-440.33.01_1.0-1_amd64.deb

.github/workflows/cuda/cu111-Linux.sh

 #!/bin/bash
 
-wget -nv https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/cuda-ubuntu1804.pin
-sudo mv cuda-ubuntu1804.pin /etc/apt/preferences.d/cuda-repository-pin-600
-wget -nv https://developer.download.nvidia.com/compute/cuda/11.1.1/local_installers/cuda-repo-ubuntu1804-11-1-local_11.1.1-455.32.00-1_amd64.deb
-sudo dpkg -i cuda-repo-ubuntu1804-11-1-local_11.1.1-455.32.00-1_amd64.deb
-sudo apt-key add /var/cuda-repo-ubuntu1804-11-1-local/7fa2af80.pub
+OS=ubuntu1604
+
+wget -nv https://developer.download.nvidia.com/compute/cuda/repos/${OS}/x86_64/cuda-${OS}.pin
+sudo mv cuda-${OS}.pin /etc/apt/preferences.d/cuda-repository-pin-600
+wget -nv https://developer.download.nvidia.com/compute/cuda/11.1.1/local_installers/cuda-repo-${OS}-11-1-local_11.1.1-455.32.00-1_amd64.deb
+sudo dpkg -i cuda-repo-${OS}-11-1-local_11.1.1-455.32.00-1_amd64.deb
+sudo apt-key add /var/cuda-repo-${OS}-11-1-local/7fa2af80.pub
 
 sudo apt-get -qq update
 sudo apt install cuda-nvcc-11-1 cuda-libraries-dev-11-1
 sudo apt clean
 
-rm -f https://developer.download.nvidia.com/compute/cuda/11.1.1/local_installers/cuda-repo-ubuntu1804-11-1-local_11.1.1-455.32.00-1_amd64.deb
+rm -f https://developer.download.nvidia.com/compute/cuda/11.1.1/local_installers/cuda-repo-${OS}-11-1-local_11.1.1-455.32.00-1_amd64.deb

.github/workflows/linting.yml

@@ -9,7 +9,7 @@ jobs:
 
     strategy:
       matrix:
-        os: [ubuntu-latest]
+        os: [ubuntu-16.04]
         python-version: [3.6]
 
     steps:

.github/workflows/testing.yml

@@ -9,7 +9,7 @@ jobs:
 
     strategy:
       matrix:
-        os: [ubuntu-latest, windows-latest]
+        os: [ubuntu-16.04, windows-latest]
         python-version: [3.6]
         torch-version: [1.8.0, 1.9.0]
 

conda/pytorch-sparse/README.md

+```
+./build_conda.sh 3.9 1.9.0 cu111  # python, pytorch and cuda version
+```

conda/pytorch-sparse/build_conda.sh

+#!/bin/bash
+
+export PYTHON_VERSION=$1
+export TORCH_VERSION=$2
+export CUDA_VERSION=$3
+
+export CONDA_PYTORCH_CONSTRAINT="pytorch==${TORCH_VERSION%.*}.*"
+
+if [ "${CUDA_VERSION}" = "cpu" ]; then
+  export CONDA_CUDATOOLKIT_CONSTRAINT="cpuonly"
+else
+  case $CUDA_VERSION in
+    cu111)
+      export CONDA_CUDATOOLKIT_CONSTRAINT="cudatoolkit==11.1.*"
+      ;;
+    cu102)
+      export CONDA_CUDATOOLKIT_CONSTRAINT="cudatoolkit==10.2.*"
+      ;;
+    cu101)
+      export CONDA_CUDATOOLKIT_CONSTRAINT="cudatoolkit==10.1.*"
+      ;;
+    *)
+      echo "Unrecognized CUDA_VERSION=$CUDA_VERSION"
+      exit 1
+      ;;
+  esac
+fi
+
+echo "PyTorch $TORCH_VERSION+$CUDA_VERSION"
+echo "- $CONDA_PYTORCH_CONSTRAINT"
+echo "- $CONDA_CUDATOOLKIT_CONSTRAINT"
+
+conda build . -c defaults -c nvidia -c pytorch -c conda-forge -c rusty1s --output-folder "$HOME/conda-bld"

conda/pytorch-sparse/meta.yaml

+package:
+  name: pytorch-sparse
+  version: 1.2.1
+
+source:
+  path: ../..
+
+requirements:
+  build:
+    - {{ compiler('c') }}  # [win]
+
+  host:
+    - scipy
+    - pytorch-scatter
+    - python {{ environ.get('PYTHON_VERSION') }}
+    - {{ environ.get('CONDA_PYTORCH_CONSTRAINT') }}
+    - {{ environ.get('CONDA_CUDATOOLKIT_CONSTRAINT') }}
+
+  run:
+    - scipy
+    - pytorch-scatter
+    - python {{ environ.get('PYTHON_VERSION') }}
+    - {{ environ.get('CONDA_PYTORCH_CONSTRAINT') }}
+    - {{ environ.get('CONDA_CUDATOOLKIT_CONSTRAINT') }}
+
+build:
+  string: py{{ environ.get('PYTHON_VERSION').replace('.', '') }}_torch_{{ environ['TORCH_VERSION'] }}_{{ environ['CUDA_VERSION'] }}
+  script: python setup.py install
+  script_env:
+    - FORCE_CUDA
+
+test:
+  imports:
+    - torch_sparse
+
+about:
+  home: https://github.com/rusty1s/pytorch_sparse
+  license: MIT
+  summary: PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations

setup.py

@@ -97,8 +97,8 @@ def get_extensions():
 
 
 install_requires = ['scipy']
-setup_requires = ['pytest-runner']
-tests_require = ['pytest', 'pytest-cov']
+setup_requires = []
+tests_require = ['pytest', 'pytest-runner', 'pytest-cov']
 
 setup(
     name='torch_sparse',
@@ -117,8 +117,7 @@ setup(
     extras_require={'test': tests_require},
     ext_modules=get_extensions() if not BUILD_DOCS else [],
     cmdclass={
-        'build_ext':
-        BuildExtension.with_options(no_python_abi_suffix=True, use_ninja=False)
+        'build_ext': BuildExtension.with_options(no_python_abi_suffix=True)
     },
     packages=find_packages(),
 )