Unverified Commit dde884be authored by Matthias Fey's avatar Matthias Fey Committed by GitHub
Browse files

Merge pull request #26 from rusty1s/pt_112

PyTorch 1.12 support
parents 18411366 923cf923
......@@ -12,27 +12,28 @@ jobs:
matrix:
os: [ubuntu-18.04, macos-10.15, windows-2019]
python-version: ['3.7', '3.8', '3.9', '3.10']
torch-version: [1.10.0, 1.11.0]
cuda-version: ['cpu', 'cu102', 'cu113', 'cu115']
torch-version: [1.11.0, 1.12.0]
cuda-version: ['cpu', 'cu102', 'cu113', 'cu115', 'cu116']
exclude:
- torch-version: 1.10.0
- torch-version: 1.11.0
cuda-version: 'cu116'
- torch-version: 1.12.0
cuda-version: 'cu115'
- torch-version: 1.10.0
python-version: '3.10'
- os: windows-2019
torch-version: 1.11.0
cuda-version: 'cu102'
- os: macos-10.15
cuda-version: 'cu102'
- os: macos-10.15
cuda-version: 'cu113'
- os: macos-10.15
cuda-version: 'cu115'
# There is a weird `glibc=2.27` bug going on for this combination:
- os: ubuntu-18.04
python-version: '3.10'
- os: ubuntu-18.04
cuda-version: 'cu115'
- os: macos-10.15
cuda-version: 'cu116'
# - os: windows-2019
# torch-version: 1.11.0
# cuda-version: 'cu102'
# There is a weird bug going on for this combination:
# - os: windows-2019
# python-version: '3.7'
# cuda-version: 'cu115'
steps:
- uses: actions/checkout@v2
......
......@@ -12,26 +12,28 @@ jobs:
matrix:
os: [ubuntu-18.04, macos-10.15, windows-2019]
python-version: ['3.7', '3.8', '3.9', '3.10']
torch-version: [1.10.0, 1.11.0]
cuda-version: ['cpu', 'cu102', 'cu113', 'cu115']
torch-version: [1.11.0, 1.12.0]
cuda-version: ['cpu', 'cu102', 'cu113', 'cu115', 'cu116']
exclude:
- torch-version: 1.10.0
- torch-version: 1.11.0
cuda-version: 'cu116'
- torch-version: 1.12.0
cuda-version: 'cu115'
- torch-version: 1.10.0
python-version: '3.10'
- os: windows-2019
torch-version: 1.11.0
cuda-version: 'cu102'
- os: macos-10.15
cuda-version: 'cu102'
- os: macos-10.15
cuda-version: 'cu113'
- os: macos-10.15
cuda-version: 'cu115'
- os: macos-10.15
cuda-version: 'cu116'
# - os: windows-2019
# torch-version: 1.11.0
# cuda-version: 'cu102'
# There is a weird bug going on for this combination:
- os: windows-2019
python-version: '3.7'
cuda-version: 'cu115'
# - os: windows-2019
# python-version: '3.7'
# cuda-version: 'cu115'
steps:
- uses: actions/checkout@v2
......
#!/bin/bash
CUDA_HOME=/c/Program\ Files/NVIDIA\ GPU\ Computing\ Toolkit/CUDA/v11.3
CUDA_HOME=/c/Program\ Files/NVIDIA\ GPU\ Computing\ Toolkit/CUDA/v11.5
PATH=${CUDA_HOME}/bin:$PATH
PATH=/c/Program\ Files\ \(x86\)/Microsoft\ Visual\ Studio/2017/BuildTools/MSBuild/15.0/Bin:$PATH
......
#!/bin/bash
# TODO We currently use CUDA 11.3 to build CUDA 11.5 Windows wheels
# Install NVIDIA drivers, see:
# https://github.com/pytorch/vision/blob/master/packaging/windows/internal/cuda_install.bat#L99-L102
curl -k -L "https://drive.google.com/u/0/uc?id=1injUyo3lnarMgWyRcXqKg4UGnN0ysmuq&export=download" --output "/tmp/gpu_driver_dlls.zip"
7z x "/tmp/gpu_driver_dlls.zip" -o"/c/Windows/System32"
export CUDA_SHORT=11.3
export CUDA_SHORT=11.5
export CUDA_URL=https://developer.download.nvidia.com/compute/cuda/${CUDA_SHORT}.0/local_installers
export CUDA_FILE=cuda_${CUDA_SHORT}.0_465.89_win10.exe
export CUDA_FILE=cuda_${CUDA_SHORT}.0_496.13_win10.exe
# Install CUDA:
curl -k -L "${CUDA_URL}/${CUDA_FILE}" --output "${CUDA_FILE}"
......
#!/bin/bash
CUDA_HOME=/usr/local/cuda-11.6
LD_LIBRARY_PATH=${CUDA_HOME}/lib64:${LD_LIBRARY_PATH}
PATH=${CUDA_HOME}/bin:${PATH}
export FORCE_CUDA=1
export TORCH_CUDA_ARCH_LIST="3.5;5.0+PTX;6.0;7.0;7.5;8.0;8.6"
#!/bin/bash
OS=ubuntu1804
wget -nv https://developer.download.nvidia.com/compute/cuda/repos/${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/11.6.2/local_installers/cuda-repo-${OS}-11-6-local_11.6.2-510.47.03-1_amd64.deb
sudo dpkg -i cuda-repo-${OS}-11-6-local_11.6.2-510.47.03-1_amd64.deb
sudo apt-key add /var/cuda-repo-${OS}-11-6-local/7fa2af80.pub
sudo apt-get -qq update
sudo apt install cuda-nvcc-11-6 cuda-libraries-dev-11-6
sudo apt clean
rm -f https://developer.download.nvidia.com/compute/cuda/11.5.2/local_installers/cuda-repo-${OS}-11-6-local_11.6.2-510.47.03-1_amd64.deb
#!/bin/bash
CUDA_HOME=/c/Program\ Files/NVIDIA\ GPU\ Computing\ Toolkit/CUDA/v11.6
PATH=${CUDA_HOME}/bin:$PATH
PATH=/c/Program\ Files\ \(x86\)/Microsoft\ Visual\ Studio/2017/BuildTools/MSBuild/15.0/Bin:$PATH
export FORCE_CUDA=1
export TORCH_CUDA_ARCH_LIST="6.0+PTX"
#!/bin/bash
# Install NVIDIA drivers, see:
# https://github.com/pytorch/vision/blob/master/packaging/windows/internal/cuda_install.bat#L99-L102
curl -k -L "https://drive.google.com/u/0/uc?id=1injUyo3lnarMgWyRcXqKg4UGnN0ysmuq&export=download" --output "/tmp/gpu_driver_dlls.zip"
7z x "/tmp/gpu_driver_dlls.zip" -o"/c/Windows/System32"
export CUDA_SHORT=11.6
export CUDA_URL=https://developer.download.nvidia.com/compute/cuda/${CUDA_SHORT}.0/local_installers
export CUDA_FILE=cuda_${CUDA_SHORT}.0_511.23_windows.exe
# Install CUDA:
curl -k -L "${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 "${CUDA_FILE}"
......@@ -32,7 +32,7 @@ jobs:
strategy:
matrix:
torch-version: [1.11.0]
torch-version: [1.12.0]
steps:
- uses: actions/checkout@v2
......
......@@ -16,7 +16,7 @@ jobs:
matrix:
os: [ubuntu-latest, windows-latest]
python-version: [3.7]
torch-version: [1.10.0, 1.11.0]
torch-version: [1.11.0, 1.12.0]
steps:
- uses: actions/checkout@v2
......
......@@ -37,39 +37,40 @@ conda install pytorch-spline-conv -c pyg
We alternatively provide pip wheels for all major OS/PyTorch/CUDA combinations, see [here](https://data.pyg.org/whl).
#### PyTorch 1.11
#### PyTorch 1.12
To install the binaries for PyTorch 1.11.0, simply run
To install the binaries for PyTorch 1.12.0, simply run
```
pip install torch-spline-conv -f https://data.pyg.org/whl/torch-1.11.0+${CUDA}.html
pip install torch-spline-conv -f https://data.pyg.org/whl/torch-1.12.0+${CUDA}.html
```
where `${CUDA}` should be replaced by either `cpu`, `cu102`, `cu113`, or `cu115` depending on your PyTorch installation.
where `${CUDA}` should be replaced by either `cpu`, `cu102`, `cu113`, or `cu116` depending on your PyTorch installation.
| | `cpu` | `cu102` | `cu113` | `cu115` |
| | `cpu` | `cu102` | `cu113` | `cu116` |
|-------------|-------|---------|---------|---------|
| **Linux** | ✅ | ✅ | ✅ | ✅ |
| **Windows** | ✅ | | ✅ | ✅ |
| **macOS** | ✅ | | | |
#### PyTorch 1.10
To install the binaries for PyTorch 1.10.0, PyTorch 1.10.1 and PyTorch 1.10.2, simply run
#### PyTorch 1.11
To install the binaries for PyTorch 1.11.0, simply run
```
pip install torch-spline-conv -f https://data.pyg.org/whl/torch-1.10.0+${CUDA}.html
pip install torch-spline-conv -f https://data.pyg.org/whl/torch-1.11.0+${CUDA}.html
```
where `${CUDA}` should be replaced by either `cpu`, `cu102`, `cu111`, or `cu113` depending on your PyTorch installation.
where `${CUDA}` should be replaced by either `cpu`, `cu102`, `cu113`, or `cu115` depending on your PyTorch installation.
| | `cpu` | `cu102` | `cu111` | `cu113` |
| | `cpu` | `cu102` | `cu113` | `cu115` |
|-------------|-------|---------|---------|---------|
| **Linux** | ✅ | ✅ | ✅ | ✅ |
| **Windows** | ✅ | | ✅ | ✅ |
| **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 and PyTorch 1.9.0 (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, and PyTorch 1.10.0/1.10.1/1.10.2 (following the same procedure).
For older versions, you might need to explicitly specify the latest supported version number in order to prevent a manual installation from source.
You can look up the latest supported version number [here](https://data.pyg.org/whl).
......
```
./build_conda.sh 3.9 1.11.0 cu113 # python, pytorch and cuda version
./build_conda.sh 3.9 1.12.0 cu113 # python, pytorch and cuda version
```
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