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PyTorch 2.7 support (#401)
* PyTorch 2.7 support * update * update
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‎.github/workflows/building.yml‎

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@@ -10,25 +10,31 @@ jobs:
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strategy:
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fail-fast: false
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matrix:
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os: [ubuntu-20.04, macos-14, windows-2019]
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os: [ubuntu-22.04, macos-14, windows-2019, ubuntu-22.04-arm]
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python-version: ['3.9', '3.10', '3.11', '3.12', '3.13']
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torch-version: [2.6.0] # [2.5.0]
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cuda-version: ['cpu', 'cu118', 'cu121', 'cu124', 'cu126']
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torch-version: [2.7.0] # [2.6.0]
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cuda-version: ['cpu', 'cu118', 'cu124', 'cu126', 'cu128']
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exclude:
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- torch-version: 2.5.0
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python-version: '3.13'
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- torch-version: 2.5.0
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cuda-version: 'cu126'
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- torch-version: 2.6.0
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cuda-version: 'cu121'
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cuda-version: 'cu128'
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- torch-version: 2.7.0
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cuda-version: 'cu124'
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- os: macos-14
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cuda-version: 'cu118'
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- os: macos-14
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cuda-version: 'cu121'
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- os: macos-14
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cuda-version: 'cu124'
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- os: macos-14
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cuda-version: 'cu126'
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- os: macos-14
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cuda-version: 'cu128'
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- os: ubuntu-22.04-arm
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cuda-version: 'cu118'
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- os: ubuntu-22.04-arm
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cuda-version: 'cu124'
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- os: ubuntu-22.04-arm
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cuda-version: 'cu126'
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- os: ubuntu-22.04-arm
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cuda-version: 'cu128'
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steps:
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- uses: actions/checkout@v2
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- name: Install main package for CPU
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if: ${{ matrix.cuda-version == 'cpu' }}
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run: |
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FORCE_ONLY_CPU=1 WITH_METIS=1 python setup.py develop
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FORCE_ONLY_CPU=1 WITH_METIS=1 pip install -e . --no-build-isolation
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shell:
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bash
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- name: Install main package for GPU
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if: ${{ matrix.cuda-version != 'cpu' }}
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run: |
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source .github/workflows/cuda/${{ matrix.cuda-version }}-${{ runner.os }}-env.sh
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WITH_METIS=1 python setup.py develop
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WITH_METIS=1 pip install -e . --no-build-isolation
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shell:
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bash
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‎.github/workflows/cuda/cu118-Linux.sh‎

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#!/bin/bash
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OS=ubuntu2004
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OS=ubuntu2204
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wget -nv https://developer.download.nvidia.com/compute/cuda/repos/${OS}/x86_64/cuda-${OS}.pin
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sudo mv cuda-${OS}.pin /etc/apt/preferences.d/cuda-repository-pin-600

‎.github/workflows/cuda/cu124-Linux.sh‎

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#!/bin/bash
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OS=ubuntu2004
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OS=ubuntu2204
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wget -nv https://developer.download.nvidia.com/compute/cuda/repos/${OS}/x86_64/cuda-${OS}.pin
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sudo mv cuda-${OS}.pin /etc/apt/preferences.d/cuda-repository-pin-600

‎.github/workflows/cuda/cu126-Linux.sh‎

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#!/bin/bash
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OS=ubuntu2004
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OS=ubuntu2204
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wget -nv https://developer.download.nvidia.com/compute/cuda/repos/${OS}/x86_64/cuda-${OS}.pin
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sudo mv cuda-${OS}.pin /etc/apt/preferences.d/cuda-repository-pin-600

‎.github/workflows/cuda/cu128-Linux-env.sh‎

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#!/bin/bash
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CUDA_HOME=/usr/local/cuda-12.8
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LD_LIBRARY_PATH=${CUDA_HOME}/lib64:${LD_LIBRARY_PATH}
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PATH=${CUDA_HOME}/bin:${PATH}
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export FORCE_CUDA=1
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export TORCH_CUDA_ARCH_LIST="5.0+PTX;6.0;7.0;7.5;8.0;8.6;9.0"

‎.github/workflows/cuda/cu128-Linux.sh‎

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#!/bin/bash
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OS=ubuntu2204
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wget -nv https://developer.download.nvidia.com/compute/cuda/repos/${OS}/x86_64/cuda-${OS}.pin
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sudo mv cuda-${OS}.pin /etc/apt/preferences.d/cuda-repository-pin-600
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wget -nv https://developer.download.nvidia.com/compute/cuda/12.8.0/local_installers/cuda-repo-${OS}-12-8-local_12.8.0-570.86.10-1_amd64.deb
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sudo dpkg -i cuda-repo-${OS}-12-8-local_12.8.0-570.86.10-1_amd64.deb
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sudo cp /var/cuda-repo-${OS}-12-8-local/cuda-*-keyring.gpg /usr/share/keyrings/
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sudo apt-get -qq update
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sudo apt install cuda-nvcc-12-8 cuda-libraries-dev-12-8
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sudo apt clean
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rm -f https://developer.download.nvidia.com/compute/cuda/12.8.0/local_installers/cuda-repo-${OS}-12-8-local_12.8.0-570.86.10-1_amd64.deb

‎.github/workflows/cuda/cu128-Windows-env.sh‎

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#!/bin/bash
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CUDA_HOME=/c/Program\ Files/NVIDIA\ GPU\ Computing\ Toolkit/CUDA/v12.8
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PATH=${CUDA_HOME}/bin:$PATH
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PATH=/c/Program\ Files\ \(x86\)/Microsoft\ Visual\ Studio/2017/BuildTools/MSBuild/15.0/Bin:$PATH
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export FORCE_CUDA=1
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export TORCH_CUDA_ARCH_LIST="6.0+PTX"

‎.github/workflows/cuda/cu128-Windows.sh‎

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#!/bin/bash
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# Install NVIDIA drivers, see:
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# https://github.com/pytorch/vision/blob/master/packaging/windows/internal/cuda_install.bat#L99-L102
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curl -k -L "https://drive.google.com/u/0/uc?id=1injUyo3lnarMgWyRcXqKg4UGnN0ysmuq&export=download" --output "/tmp/gpu_driver_dlls.zip"
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7z x "/tmp/gpu_driver_dlls.zip" -o"/c/Windows/System32"
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export CUDA_SHORT=12.8
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export CUDA_URL=https://developer.download.nvidia.com/compute/cuda/${CUDA_SHORT}.0/local_installers
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export CUDA_FILE=cuda_${CUDA_SHORT}.0_571.96_windows.exe
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# Install CUDA:
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curl -k -L "${CUDA_URL}/${CUDA_FILE}" --output "${CUDA_FILE}"
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echo ""
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echo "Installing from ${CUDA_FILE}..."
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PowerShell -Command "Start-Process -FilePath \"${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"
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echo "Done!"
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rm -f "${CUDA_FILE}"

‎.github/workflows/metis.sh‎

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METIS=metis-5.1.0
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wget -nv "https://web.archive.org/web/20211119110155/http://glaros.dtc.umn.edu/gkhome/fetch/sw/metis/${METIS}.tar.gz"
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wget -nv "https://github.com/xijunke/METIS-1/raw/refs/heads/master/metis-5.1.0.tar.gz"
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tar -xvzf "${METIS}.tar.gz"
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rm -f "${METIS}.tar.gz"
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cd "${METIS}" || exit

‎.github/workflows/testing.yml‎

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matrix:
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os: [ubuntu-latest, windows-2019]
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python-version: [3.9]
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torch-version: [2.5.0, 2.6.0]
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torch-version: [2.6.0, 2.7.0]
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steps:
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- uses: actions/checkout@v2

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