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Commit 5be6d03e authored by rusty1s's avatar rusty1s
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version up

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.github/workflows/building-conda.yml
View file @ 5be6d03e
......@@ -10,7 +10,7 @@ jobs:
strategy:
fail-fast: false
matrix:
os: [ubuntu-16.04, macos-10.15, windows-latest]
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']
......@@ -66,7 +66,7 @@ jobs:
- 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 }}
FORCE_CUDA=0 TORCH_CUDA_ARCH_LIST=0 ./conda/pytorch-sparse/build_conda.sh ${{ matrix.python-version }} ${{ matrix.torch-version }} ${{ matrix.cuda-version }}
shell:
bash -l {0}
......@@ -74,15 +74,24 @@ jobs:
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 }}
./conda/pytorch-sparse/build_conda.sh ${{ matrix.python-version }} ${{ matrix.torch-version }} ${{ matrix.cuda-version }}
shell:
bash -l {0}
- name: Publish Conda package
- name: Publish Conda package on organization channel
run: |
conda install anaconda-client --yes
anaconda upload --force --label main $HOME/conda-bld/*/*.tar.bz2
env:
ANACONDA_API_TOKEN: ${{ secrets.ANACONDA_TOKEN }}
ANACONDA_API_TOKEN: ${{ secrets.PYG_ANACONDA_TOKEN }}
shell:
bash -l {0}
- name: Publish Conda package on personal channel
run: |
conda install anaconda-client --yes
anaconda upload --force --label main $HOME/conda-bld/*/*.tar.bz2
env:
ANACONDA_API_TOKEN: ${{ secrets.RUSTY1S_ANACONDA_TOKEN }}
shell:
bash -l {0}
.github/workflows/building.yml
View file @ 5be6d03e
......@@ -10,7 +10,7 @@ jobs:
strategy:
fail-fast: false
matrix:
os: [ubuntu-16.04, macos-10.15, windows-latest]
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']
......@@ -33,6 +33,11 @@ jobs:
with:
python-version: ${{ matrix.python-version }}
- name: Free up disk space
if: ${{ runner.os == 'Linux' }}
run: |
sudo rm -rf /usr/share/dotnet
- name: Install CUDA ${{ matrix.cuda-version }}
if: ${{ matrix.cuda-version != 'cpu' }}
run: |
......@@ -47,7 +52,7 @@ jobs:
- name: Install torch-scatter
run: |
pip install torch-scatter -f https://pytorch-geometric.com/whl/torch-${{ matrix.torch-version }}+${{ matrix.cuda-version }}.html
pip install torch-scatter -f https://data.pyg.org/whl/torch-${{ matrix.torch-version }}+${{ matrix.cuda-version }}.html
- name: Install METIS
if: ${{ runner.os != 'Windows' }}
......@@ -70,7 +75,7 @@ jobs:
if: ${{ matrix.cuda-version != 'cpu' }}
run: |
source .github/workflows/cuda/${{ matrix.cuda-version }}-${{ runner.os }}-env.sh
FORCE_CUDA=1 WITH_METIS=1 TORCH_CUDA_ARCH_LIST="5.2 6.0 6.1 7.0 7.5 8.0 8.6+PTX" pip install -e .
WITH_METIS=1 pip install -e .
shell:
bash
......@@ -84,8 +89,8 @@ jobs:
with:
aws-access-key-id: ${{ secrets.AWS_KEY_ID }}
aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
aws-region: us-east-1
aws-region: us-west-1
- name: Upload wheel
run: |
aws s3 sync dist s3://pytorch-geometric.com/whl/torch-${{ matrix.torch-version }}+${{ matrix.cuda-version }} --grants read=uri=http://acs.amazonaws.com/groups/global/AllUsers
aws s3 sync dist s3://data.pyg.org/whl/torch-${{ matrix.torch-version }}+${{ matrix.cuda-version }} --grants read=uri=http://acs.amazonaws.com/groups/global/AllUsers
.github/workflows/cuda/cu101-Linux-env.sh
View file @ 5be6d03e
......@@ -3,3 +3,6 @@
CUDA_HOME=/usr/local/cuda-10.1
LD_LIBRARY_PATH=${CUDA_HOME}/lib64:${LD_LIBRARY_PATH}
PATH=${CUDA_HOME}/bin:${PATH}
export FORCE_CUDA=1
export TORCH_CUDA_ARCH_LIST="3.5;5.0+PTX;6.0;7.0;7.5"
.github/workflows/cuda/cu101-Linux.sh
View file @ 5be6d03e
#!/bin/bash
OS=ubuntu1604
OS=ubuntu1804
wget -nv https://developer.download.nvidia.com/compute/cuda/repos/${OS}/x86_64/cuda-${OS}.pin
sudo mv cuda-${OS}.pin /etc/apt/preferences.d/cuda-repository-pin-600
......
.github/workflows/cuda/cu101-Windows-env.sh
View file @ 5be6d03e
......@@ -3,3 +3,6 @@
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:$PATH
export FORCE_CUDA=1
export TORCH_CUDA_ARCH_LIST="3.5;5.0+PTX;6.0;7.0;7.5"
.github/workflows/cuda/cu102-Linux-env.sh
View file @ 5be6d03e
......@@ -3,3 +3,6 @@
CUDA_HOME=/usr/local/cuda-10.2
LD_LIBRARY_PATH=${CUDA_HOME}/lib64:${LD_LIBRARY_PATH}
PATH=${CUDA_HOME}/bin:${PATH}
export FORCE_CUDA=1
export TORCH_CUDA_ARCH_LIST="3.5;5.0+PTX;6.0;7.0;7.5"
.github/workflows/cuda/cu102-Linux.sh
View file @ 5be6d03e
#!/bin/bash
OS=ubuntu1604
OS=ubuntu1804
# Ubuntu-18.04
wget -nv https://developer.download.nvidia.com/compute/cuda/repos/${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-${OS}-10-2-local-10.2.89-440.33.01_1.0-1_amd64.deb
......
.github/workflows/cuda/cu102-Windows-env.sh
View file @ 5be6d03e
......@@ -3,3 +3,6 @@
CUDA_HOME=/c/Program\ Files/NVIDIA\ GPU\ Computing\ Toolkit/CUDA/v10.2
PATH=${CUDA_HOME}/bin:$PATH
PATH=/c/Program\ Files\ \(x86\)/Microsoft\ Visual\ Studio/2017/BuildTools/MSBuild/15.0/Bin:$PATH
export FORCE_CUDA=1
export TORCH_CUDA_ARCH_LIST="3.5;5.0+PTX;6.0;7.0;7.5"
.github/workflows/cuda/cu111-Linux-env.sh
View file @ 5be6d03e
......@@ -3,3 +3,6 @@
CUDA_HOME=/usr/local/cuda-11.1
LD_LIBRARY_PATH=${CUDA_HOME}/lib64:${LD_LIBRARY_PATH}
PATH=${CUDA_HOME}/bin:${PATH}
export FORCE_CUDA=1
export TORCH_CUDA_ARCH_LIST="3.5;5.0+PTX;6.0;7.0;7.5;8.0;8.6"
.github/workflows/cuda/cu111-Linux.sh
View file @ 5be6d03e
#!/bin/bash
OS=ubuntu1604
OS=ubuntu1804
wget -nv https://developer.download.nvidia.com/compute/cuda/repos/${OS}/x86_64/cuda-${OS}.pin
sudo mv cuda-${OS}.pin /etc/apt/preferences.d/cuda-repository-pin-600
......
.github/workflows/cuda/cu111-Windows-env.sh
View file @ 5be6d03e
......@@ -3,3 +3,6 @@
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:$PATH
export FORCE_CUDA=1
export TORCH_CUDA_ARCH_LIST="3.5;5.0+PTX;6.0;7.0;7.5;8.0;8.6"
.github/workflows/linting.yml
View file @ 5be6d03e
......@@ -9,7 +9,7 @@ jobs:
strategy:
matrix:
os: [ubuntu-16.04]
os: [ubuntu-latest]
python-version: [3.6]
steps:
......
.github/workflows/testing.yml
View file @ 5be6d03e
......@@ -9,7 +9,7 @@ jobs:
strategy:
matrix:
os: [ubuntu-16.04, windows-latest]
os: [ubuntu-latest, windows-latest]
python-version: [3.6]
torch-version: [1.8.0, 1.9.0]
......@@ -26,7 +26,7 @@ jobs:
- name: Install torch-scatter
run: |
pip install torch-scatter -f https://pytorch-geometric.com/whl/torch-${{ matrix.torch-version }}+cpu.html
pip install torch-scatter -f https://data.pyg.org/whl/torch-${{ matrix.torch-version }}+cpu.html
- name: Install METIS
if: ${{ runner.os != 'Windows' }}
......
CMakeLists.txt
View file @ 5be6d03e
cmake_minimum_required(VERSION 3.0)
project(torchsparse)
set(CMAKE_CXX_STANDARD 14)
set(TORCHSPARSE_VERSION 0.6.11)
set(TORCHSPARSE_VERSION 0.6.12)
option(WITH_CUDA "Enable CUDA support" OFF)
......
README.md
View file @ 5be6d03e
......@@ -32,23 +32,23 @@ Note that only `value` comes with autograd support, as `index` is discrete and t
### Anaconda
**Update:** You can now install `pytorch-sparse` via [Anaconda](https://anaconda.org/rusty1s/pytorch-sparse) for all major OS/PyTorch/CUDA combinations 🤗
**Update:** You can now install `pytorch-sparse` via [Anaconda](https://anaconda.org/pyg/pytorch-sparse) for all major OS/PyTorch/CUDA combinations 🤗
Given that you have [`pytorch >= 1.8.0` installed](https://pytorch.org/get-started/locally/), simply run
```
conda install pytorch-sparse -c rusty1s
conda install pytorch-sparse -c pyg
```
### Binaries
We alternatively provide pip wheels for all major OS/PyTorch/CUDA combinations, see [here](https://pytorch-geometric.com/whl).
We alternatively provide pip wheels for all major OS/PyTorch/CUDA combinations, see [here](https://data.pyg.org/whl).
#### PyTorch 1.9.0
To install the binaries for PyTorch 1.9.0, simply run
```
pip install torch-scatter torch-sparse -f https://pytorch-geometric.com/whl/torch-1.9.0+${CUDA}.html
pip install torch-scatter torch-sparse -f https://data.pyg.org/whl/torch-1.9.0+${CUDA}.html
```
where `${CUDA}` should be replaced by either `cpu`, `cu102`, or `cu111` depending on your PyTorch installation.
......@@ -64,7 +64,7 @@ where `${CUDA}` should be replaced by either `cpu`, `cu102`, or `cu111` dependin
To install the binaries for PyTorch 1.8.0 and 1.8.1, simply run
```
pip install torch-scatter torch-sparse -f https://pytorch-geometric.com/whl/torch-1.8.0+${CUDA}.html
pip install torch-scatter torch-sparse -f https://data.pyg.org/whl/torch-1.8.0+${CUDA}.html
```
where `${CUDA}` should be replaced by either `cpu`, `cu101`, `cu102`, or `cu111` depending on your PyTorch installation.
......
conda/pytorch-sparse/build_conda.sh
View file @ 5be6d03e
......@@ -30,4 +30,4 @@ echo "PyTorch $TORCH_VERSION+$CUDA_VERSION"
echo "- $CONDA_PYTORCH_CONSTRAINT"
echo "- $CONDA_CUDATOOLKIT_CONSTRAINT"
conda build . -c pytorch -c nvidia -c rusty1s -c defaults -c conda-forge --output-folder "$HOME/conda-bld"
conda build . -c pytorch -c nvidia -c pyg -c defaults -c conda-forge --output-folder "$HOME/conda-bld"
conda/pytorch-sparse/meta.yaml
View file @ 5be6d03e
package:
name: pytorch-sparse
version: 0.6.11
version: 0.6.12
source:
path: ../..
......@@ -26,8 +26,8 @@ build:
string: py{{ environ.get('PYTHON_VERSION').replace('.', '') }}_torch_{{ environ['TORCH_VERSION'] }}_{{ environ['CUDA_VERSION'] }}
script_env:
- FORCE_CUDA
- TORCH_CUDA_ARCH_LIST
- WITH_METIS=1
- TORCH_CUDA_ARCH_LIST="5.2 6.0 6.1 7.0 7.5 8.0 8.6+PTX"
preserve_egg_dir: True
test:
......
setup.py
View file @ 5be6d03e
......@@ -102,7 +102,7 @@ tests_require = ['pytest', 'pytest-runner', 'pytest-cov']
setup(
name='torch_sparse',
version='0.6.11',
version='0.6.12',
author='Matthias Fey',
author_email='matthias.fey@tu-dortmund.de',
url='https://github.com/rusty1s/pytorch_sparse',
......
torch_sparse/__init__.py
View file @ 5be6d03e
......@@ -3,7 +3,7 @@ import os.path as osp
import torch
__version__ = '0.6.11'
__version__ = '0.6.12'
suffix = 'cuda' if torch.cuda.is_available() else 'cpu'
......
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