rusty1s · rusty1s · Aug 15, 2024 · Aug 15, 2024
diff --git a/.github/workflows/building-conda.yml b/.github/workflows/building-conda.yml
@@ -10,23 +10,27 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        # We have trouble building for Windows - drop for now.
-        os: [ubuntu-20.04]  # windows-2019
+        os: [ubuntu-20.04, macos-14, windows-2019]
         python-version: ['3.8', '3.9', '3.10', '3.11', '3.12']
-        torch-version: [2.3.0]  # [2.1.0, 2.2.0, 2.3.0]
-        cuda-version: ['cpu', 'cu118', 'cu121']
+        torch-version: [2.4.0]  # [2.3.0, 2.4.0]
+        cuda-version: ['cpu', 'cu118', 'cu121', 'cu124']
         exclude:
-          - python-version: '3.12'  # Python 3.12 not yet supported in `conda-build`.
-          - torch-version: 2.1.0
-            python-version: '3.12'
+          - torch-version: 2.3.0
+            cuda-version: 'cu124'
+          - os: macos-14
+            cuda-version: 'cu118'
+          - os: macos-14
+            cuda-version: 'cu121'
+          - os: macos-14
+            cuda-version: 'cu124'
 
     steps:
       - uses: actions/checkout@v2
         with:
           submodules: 'recursive'
 
       - name: Set up Conda for Python ${{ matrix.python-version }}
-        uses: conda-incubator/setup-miniconda@v2
+        uses: conda-incubator/setup-miniconda@v3
         with:
           python-version: ${{ matrix.python-version }}
 

diff --git a/.github/workflows/building.yml b/.github/workflows/building.yml
@@ -12,15 +12,17 @@ jobs:
       matrix:
         os: [ubuntu-20.04, macos-14, windows-2019]
         python-version: ['3.8', '3.9', '3.10', '3.11', '3.12']
-        torch-version: [2.3.0]  # [2.1.0, 2.2.0, 2.3.0]
-        cuda-version: ['cpu', 'cu118', 'cu121']
+        torch-version: [2.4.0]  # [2.3.0, 2.4.0]
+        cuda-version: ['cpu', 'cu118', 'cu121', 'cu124']
         exclude:
-          - torch-version: 2.1.0
-            python-version: '3.12'
+          - torch-version: 2.3.0
+            cuda-version: 'cu124'
           - os: macos-14
             cuda-version: 'cu118'
           - os: macos-14
             cuda-version: 'cu121'
+          - os: macos-14
+            cuda-version: 'cu124'
 
     steps:
       - uses: actions/checkout@v2
@@ -37,7 +39,7 @@ jobs:
           pip install --upgrade setuptools
 
       - name: Install scipy
-        if: ${{ matrix.python-version == '3.8' }}
+        if: ${{ (matrix.python-version == '3.8') || (matrix.python-version == '3.9') }}
         run: |
           pip install scipy==1.10.1
 

diff --git a/.github/workflows/cuda/cu124-Linux-env.sh b/.github/workflows/cuda/cu124-Linux-env.sh
@@ -0,0 +1,8 @@
+#!/bin/bash
+
+CUDA_HOME=/usr/local/cuda-12.4
+LD_LIBRARY_PATH=${CUDA_HOME}/lib64:${LD_LIBRARY_PATH}
+PATH=${CUDA_HOME}/bin:${PATH}
+
+export FORCE_CUDA=1
+export TORCH_CUDA_ARCH_LIST="5.0+PTX;6.0;7.0;7.5;8.0;8.6;9.0"
diff --git a/.github/workflows/cuda/cu124-Linux.sh b/.github/workflows/cuda/cu124-Linux.sh
@@ -0,0 +1,15 @@
+#!/bin/bash
+
+OS=ubuntu2004
+
+wget -nv https://developer.download.nvidia.com/compute/cuda/repos/${OS}/x86_64/cuda-${OS}.pin
+sudo mv cuda-${OS}.pin /etc/apt/preferences.d/cuda-repository-pin-600
+wget -nv https://developer.download.nvidia.com/compute/cuda/12.4.1/local_installers/cuda-repo-${OS}-12-4-local_12.4.1-550.54.15-1_amd64.deb
+sudo dpkg -i cuda-repo-${OS}-12-4-local_12.4.1-550.54.15-1_amd64.deb
+sudo cp /var/cuda-repo-${OS}-12-4-local/cuda-*-keyring.gpg /usr/share/keyrings/
+
+sudo apt-get -qq update
+sudo apt install cuda-nvcc-12-4 cuda-libraries-dev-12-4
+sudo apt clean
+
+rm -f https://developer.download.nvidia.com/compute/cuda/12.4.0/local_installers/cuda-repo-${OS}-12-4-local_12.4.1-550.54.15-1_amd64.deb
diff --git a/.github/workflows/cuda/cu124-Windows-env.sh b/.github/workflows/cuda/cu124-Windows-env.sh
@@ -0,0 +1,8 @@
+#!/bin/bash
+
+CUDA_HOME=/c/Program\ Files/NVIDIA\ GPU\ Computing\ Toolkit/CUDA/v12.4
+PATH=${CUDA_HOME}/bin:$PATH
+PATH=/c/Program\ Files\ \(x86\)/Microsoft\ Visual\ Studio/2017/BuildTools/MSBuild/15.0/Bin:$PATH
+
+export FORCE_CUDA=1
+export TORCH_CUDA_ARCH_LIST="6.0+PTX"
diff --git a/.github/workflows/cuda/cu124-Windows.sh b/.github/workflows/cuda/cu124-Windows.sh
@@ -0,0 +1,18 @@
+#!/bin/bash
+
+# Install NVIDIA drivers, see:
+# https://github.com/pytorch/vision/blob/master/packaging/windows/internal/cuda_install.bat#L99-L102
+curl -k -L "https://drive.google.com/u/0/uc?id=1injUyo3lnarMgWyRcXqKg4UGnN0ysmuq&export=download" --output "/tmp/gpu_driver_dlls.zip"
+7z x "/tmp/gpu_driver_dlls.zip" -o"/c/Windows/System32"
+
+export CUDA_SHORT=12.4
+export CUDA_URL=https://developer.download.nvidia.com/compute/cuda/${CUDA_SHORT}.1/local_installers
+export CUDA_FILE=cuda_${CUDA_SHORT}.1_551.78_windows.exe
+
+# Install CUDA:
+curl -k -L "${CUDA_URL}/${CUDA_FILE}" --output "${CUDA_FILE}"
+echo ""
+echo "Installing from ${CUDA_FILE}..."
+PowerShell -Command "Start-Process -FilePath \"${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} thrust_${CUDA_SHORT} npp_dev_${CUDA_SHORT} nvrtc_dev_${CUDA_SHORT} nvml_dev_${CUDA_SHORT}\" -Wait -NoNewWindow"
+echo "Done!"
+rm -f "${CUDA_FILE}"
diff --git a/.github/workflows/testing.yml b/.github/workflows/testing.yml
@@ -16,7 +16,7 @@ jobs:
       matrix:
         os: [ubuntu-latest, windows-2019]
         python-version: [3.8]
-        torch-version: [2.2.0, 2.3.0]
+        torch-version: [2.3.0, 2.4.0]
 
     steps:
       - uses: actions/checkout@v2

diff --git a/README.md b/README.md
@@ -43,28 +43,29 @@ conda install pytorch-sparse -c pyg
 
 We alternatively provide pip wheels for all major OS/PyTorch/CUDA combinations, see [here](https://data.pyg.org/whl).
 
-#### PyTorch 2.3
+#### PyTorch 2.4
 
-To install the binaries for PyTorch 2.3.0, simply run
+To install the binaries for PyTorch 2.4.0, simply run
 
 ```
-pip install torch-scatter torch-sparse -f https://data.pyg.org/whl/torch-2.3.0+${CUDA}.html
+pip install torch-scatter torch-sparse -f https://data.pyg.org/whl/torch-2.4.0+${CUDA}.html
 ```
 
-where `${CUDA}` should be replaced by either `cpu`, `cu118`, or `cu121` depending on your PyTorch installation.
+where `${CUDA}` should be replaced by either `cpu`, `cu118`, `cu121`, or `cu124` depending on your PyTorch installation.
+
+|             | `cpu` | `cu118` | `cu121` | `cu124` |
+|-------------|-------|---------|---------|---------|
+| **Linux**   | ✅    | ✅      | ✅      | ✅      |
+| **Windows** | ✅    | ✅      | ✅      | ✅      |
+| **macOS**   | ✅    |         |         |         |
 
-|             | `cpu` | `cu118` | `cu121` |
-|-------------|-------|---------|---------|
-| **Linux**   | ✅    | ✅      | ✅      |
-| **Windows** | ✅    | ✅      | ✅      |
-| **macOS**   | ✅    |         |         |
 
-#### PyTorch 2.2
+#### PyTorch 2.3
 
-To install the binaries for PyTorch 2.2.0, simply run
+To install the binaries for PyTorch 2.3.0, simply run
 
 ```
-pip install torch-scatter torch-sparse -f https://data.pyg.org/whl/torch-2.2.0+${CUDA}.html
+pip install torch-scatter torch-sparse -f https://data.pyg.org/whl/torch-2.3.0+${CUDA}.html
 ```
 
 where `${CUDA}` should be replaced by either `cpu`, `cu118`, or `cu121` depending on your PyTorch installation.
@@ -75,7 +76,7 @@ where `${CUDA}` should be replaced by either `cpu`, `cu118`, or `cu121` dependin
 | **Windows** | ✅    | ✅      | ✅      |
 | **macOS**   | ✅    |         |         |
 
-**Note:** Binaries of older versions are also provided for PyTorch 1.4.0, PyTorch 1.5.0, PyTorch 1.6.0, PyTorch 1.7.0/1.7.1, PyTorch 1.8.0/1.8.1, PyTorch 1.9.0, PyTorch 1.10.0/1.10.1/1.10.2, PyTorch 1.11.0, PyTorch 1.12.0/1.12.1, PyTorch 1.13.0/1.13.1, PyTorch 2.0.0/2.0.1, PyTorch 2.1.0/2.1.1/2.1.2 (following the same procedure).
+**Note:** Binaries of older versions are also provided for PyTorch 1.4.0, PyTorch 1.5.0, PyTorch 1.6.0, PyTorch 1.7.0/1.7.1, PyTorch 1.8.0/1.8.1, PyTorch 1.9.0, PyTorch 1.10.0/1.10.1/1.10.2, PyTorch 1.11.0, PyTorch 1.12.0/1.12.1, PyTorch 1.13.0/1.13.1, PyTorch 2.0.0/2.0.1, PyTorch 2.1.0/2.1.1/2.1.2, and PyTorch 2.2.0/2.2.1/2.2.2 (following the same procedure).
 For older versions, you need to explicitly specify the latest supported version number or install via `pip install --no-index` in order to prevent a manual installation from source.
 You can look up the latest supported version number [here](https://data.pyg.org/whl).
 

diff --git a/conda/pytorch-sparse/README.md b/conda/pytorch-sparse/README.md
@@ -1,3 +1,3 @@
 ```
-./build_conda.sh 3.11 2.3.0 cu118  # python, pytorch and cuda version
+./build_conda.sh 3.11 2.4.0 cu118  # python, pytorch and cuda version
 ```
diff --git a/conda/pytorch-sparse/build_conda.sh b/conda/pytorch-sparse/build_conda.sh
@@ -10,6 +10,9 @@ if [ "${CUDA_VERSION}" = "cpu" ]; then
   export CONDA_CUDATOOLKIT_CONSTRAINT="cpuonly  # [not osx]"
 else
   case $CUDA_VERSION in
+    cu124)
+      export CONDA_CUDATOOLKIT_CONSTRAINT="pytorch-cuda==12.4.*"
+      ;;
     cu121)
       export CONDA_CUDATOOLKIT_CONSTRAINT="pytorch-cuda==12.1.*"
       ;;