build everything

.github/workflows/building.yml

@@ -8,12 +8,17 @@ jobs:
     runs-on: ${{ matrix.os }}
 
     strategy:
+      fail-fast: false
       matrix:
-        os: [macos-10.15, ubuntu-18.04]
-        python-version: [3.9] # [3.6, 3.7, 3.8, 3.9]
-        torch-version: [1.8.0]  # [1.8.0, 1.9.0]
-        cuda-version: ['cpu', 'cu102', 'cu111']
+        os: [ubuntu-18.04, 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
@@ -64,11 +69,11 @@ jobs:
           python setup.py bdist_wheel --dist-dir=dist
           ls -lah dist/
 
-      - name: Upload wheel
-        uses: shallwefootball/s3-upload-action@master
-        with:
-          aws_key_id: ${{ secrets.AWS_KEY_ID }}
-          aws_secret_access_key: ${{ secrets.AWS_SECRET_ACCESS_KEY}}
-          aws_bucket: 'pytorch-geometric.com'
-          source_dir: 'dist'
-          destination_dir: 'whl/torch-${{ matrix.torch-version }}+${{ matrix.cuda-version }}'
+      # - name: Upload wheel
+      #   uses: shallwefootball/s3-upload-action@master
+      #   with:
+      #     aws_key_id: ${{ secrets.AWS_KEY_ID }}
+      #     aws_secret_access_key: ${{ secrets.AWS_SECRET_ACCESS_KEY}}
+      #     aws_bucket: 'pytorch-geometric.com'
+      #     source_dir: 'dist'
+      #     destination_dir: 'whl/torch-${{ matrix.torch-version }}+${{ matrix.cuda-version }}'

.github/workflows/cuda/cu101-Windows-env.sh

+#!/bin/bash
+
+CUDA_HOME=/c/Program\ Files/NVIDIA\ GPU\ Computing\ Toolkit/CUDA/v10.1
+PATH=${CUDA_HOME}/bin:$PATH
+PATH=/c/Program\ Files\ \(x86\)/Microsoft\ Visual\ Studio/2017/BuildTools/MSBuild/15.0/Bin:$PATH

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

+#!/bin/bash
+
+# Install NVIDIA drivers, see:
+# https://github.com/pytorch/vision/blob/master/packaging/windows/internal/cuda_install.bat#L99-L102
+curl -k -L "https://drive.google.com/u/0/uc?id=1injUyo3lnarMgWyRcXqKg4UGnN0ysmuq&export=download" --output "/tmp/gpu_driver_dlls.zip"
+7z x "/tmp/gpu_driver_dlls.zip" -o"/c/Windows/System32"
+
+export CUDA_SHORT=10.1
+export CUDA_URL=https://developer.nvidia.com/compute/cuda/${CUDA_SHORT}/Prod/local_installers
+export CUDA_FILE=cuda_${CUDA_SHORT}.105_418.96_win10.exe
+
+# Install CUDA:
+wget -nv "${CUDA_URL}/${CUDA_FILE}"
+PowerShell -Command "Start-Process -FilePath \"${CUDA_FILE}\" -ArgumentList \"-s nvcc_${CUDA_SHORT} cuobjdump_${CUDA_SHORT} nvprune_${CUDA_SHORT} cupti_${CUDA_SHORT} cublas_dev_${CUDA_SHORT} cudart_${CUDA_SHORT} cufft_dev_${CUDA_SHORT} curand_dev_${CUDA_SHORT} cusolver_dev_${CUDA_SHORT} cusparse_dev_${CUDA_SHORT} npp_dev_${CUDA_SHORT} nvrtc_dev_${CUDA_SHORT} nvml_dev_${CUDA_SHORT}\" -Wait -NoNewWindow"
+rm -f "${CUDA_URL}/${CUDA_FILE}"

.github/workflows/cuda/cu102-Windows-env.sh

+#!/bin/bash
+
+CUDA_HOME=/c/Program\ Files/NVIDIA\ GPU\ Computing\ Toolkit/CUDA/v10.2
+PATH=${CUDA_HOME}/bin:$PATH
+PATH=/c/Program\ Files\ \(x86\)/Microsoft\ Visual\ Studio/2017/BuildTools/MSBuild/15.0/Bin:$PATH

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

+#!/bin/bash
+
+# Install NVIDIA drivers, see:
+# https://github.com/pytorch/vision/blob/master/packaging/windows/internal/cuda_install.bat#L99-L102
+curl -k -L "https://drive.google.com/u/0/uc?id=1injUyo3lnarMgWyRcXqKg4UGnN0ysmuq&export=download" --output "/tmp/gpu_driver_dlls.zip"
+7z x "/tmp/gpu_driver_dlls.zip" -o"/c/Windows/System32"
+
+export CUDA_SHORT=10.2
+export CUDA_URL=https://developer.download.nvidia.com/compute/cuda/${CUDA_SHORT}/Prod/local_installers
+export CUDA_FILE=cuda_${CUDA_SHORT}.89_441.22_win10.exe
+
+# Install CUDA:
+wget -nv "${CUDA_URL}/${CUDA_FILE}"
+PowerShell -Command "Start-Process -FilePath \"${CUDA_FILE}\" -ArgumentList \"-s nvcc_${CUDA_SHORT} cuobjdump_${CUDA_SHORT} nvprune_${CUDA_SHORT} cupti_${CUDA_SHORT} cublas_dev_${CUDA_SHORT} cudart_${CUDA_SHORT} cufft_dev_${CUDA_SHORT} curand_dev_${CUDA_SHORT} cusolver_dev_${CUDA_SHORT} cusparse_dev_${CUDA_SHORT} npp_dev_${CUDA_SHORT} nvrtc_dev_${CUDA_SHORT} nvml_dev_${CUDA_SHORT}\" -Wait -NoNewWindow"
+rm -f "${CUDA_URL}/${CUDA_FILE}"

.github/workflows/cuda/cu111-Windows-env.sh

+#!/bin/bash
+
+CUDA_HOME=/c/Program\ Files/NVIDIA\ GPU\ Computing\ Toolkit/CUDA/v11.1
+PATH=${CUDA_HOME}/bin:$PATH
+PATH=/c/Program\ Files\ \(x86\)/Microsoft\ Visual\ Studio/2017/BuildTools/MSBuild/15.0/Bin:$PATH

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

+#!/bin/bash
+
+# Install NVIDIA drivers, see:
+# https://github.com/pytorch/vision/blob/master/packaging/windows/internal/cuda_install.bat#L99-L102
+curl -k -L "https://drive.google.com/u/0/uc?id=1injUyo3lnarMgWyRcXqKg4UGnN0ysmuq&export=download" --output "/tmp/gpu_driver_dlls.zip"
+7z x "/tmp/gpu_driver_dlls.zip" -o"/c/Windows/System32"
+
+export CUDA_SHORT=11.1
+export CUDA_URL=https://developer.download.nvidia.com/compute/cuda/${CUDA_SHORT}.1/local_installers
+export CUDA_FILE=cuda_${CUDA_SHORT}.1_456.81_win10.exe
+
+# Install CUDA:
+wget -nv "${CUDA_URL}/${CUDA_FILE}"
+PowerShell -Command "Start-Process -FilePath \"${CUDA_FILE}\" -ArgumentList \"-s nvcc_${CUDA_SHORT} cuobjdump_${CUDA_SHORT} nvprune_${CUDA_SHORT} cupti_${CUDA_SHORT} cublas_dev_${CUDA_SHORT} cudart_${CUDA_SHORT} cufft_dev_${CUDA_SHORT} curand_dev_${CUDA_SHORT} cusolver_dev_${CUDA_SHORT} cusparse_dev_${CUDA_SHORT} npp_dev_${CUDA_SHORT} nvrtc_dev_${CUDA_SHORT} nvml_dev_${CUDA_SHORT}\" -Wait -NoNewWindow"
+rm -f "${CUDA_URL}/${CUDA_FILE}"