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name: Build and Test | ||
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on: | ||
pull_request: | ||
branches: | ||
- main | ||
push: | ||
branches: | ||
- main | ||
schedule: | ||
# Run the tests at 00:00 each day | ||
- cron: "0 0 * * *" | ||
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jobs: | ||
build: | ||
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runs-on: ubuntu-latest | ||
strategy: | ||
matrix: | ||
python-version: [3.8] | ||
defaults: | ||
run: | ||
shell: bash -l {0} | ||
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steps: | ||
- uses: actions/checkout@v2 | ||
- name: cache conda | ||
uses: actions/cache@v2 | ||
env: | ||
# Increase this value to reset cache if etc/example-environment.yml has not changed | ||
CACHE_NUMBER: 0 | ||
with: | ||
path: ~/conda_pkgs_dir | ||
key: | ||
${{ runner.os }}-conda-${{ env.CACHE_NUMBER }}-${{ | ||
hashFiles('requirements.txt') }} | ||
- uses: conda-incubator/setup-miniconda@v2 | ||
with: | ||
activate-environment: test | ||
python-version: 3.8 | ||
use-only-tar-bz2: true # IMPORTANT: This needs to be set for caching to work properly! | ||
- name: Set up env | ||
run: | | ||
conda activate test | ||
conda install pip | ||
- name: Cache pip | ||
uses: actions/cache@v2 | ||
with: | ||
# This path is specific to Ubuntu | ||
path: ~/.cache/pip | ||
# Look to see if there is a cache hit for the corresponding requirements file | ||
key: ${{ runner.os }}-pip-${{ hashFiles('requirements.txt') }} | ||
restore-keys: | | ||
${{ runner.os }}-pip- | ||
${{ runner.os }}- | ||
- name: pytorch | ||
run: | | ||
conda install -y pytorch=1.7.1 torchvision cudatoolkit=10.2 -c pytorch --update-deps | ||
- name: Install pyG | ||
run: | | ||
./pyG_install.sh cu102 | ||
- name: Install dependencies | ||
run: | | ||
pip install -r requirements.txt | ||
- name: Test with pytest | ||
run: | | ||
pytest -v |
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#!/usr/bin/env bash | ||
TORCH=1.7.1 | ||
CUDA=$1 # Supply as command line cpu or cu102 | ||
pip install torch-scatter==2.0.5 -f https://pytorch-geometric.com/whl/torch-${TORCH}+${CUDA}.html | ||
pip install torch-sparse==0.6.8 -f https://pytorch-geometric.com/whl/torch-${TORCH}+${CUDA}.html | ||
pip install torch-cluster==1.5.8 -f https://pytorch-geometric.com/whl/torch-${TORCH}+${CUDA}.html | ||
pip install torch-spline-conv==1.2.0 -f https://pytorch-geometric.com/whl/torch-${TORCH}+${CUDA}.html | ||
pip install torch-geometric==1.6.3 |
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# This file may be used to create an environment using: | ||
# $ conda create --name <env> --file <this file> | ||
# platform: osx-64 | ||
absl-py=0.9.0=pypi_0 | ||
aiohttp=3.7.2=pypi_0 | ||
aiohttp-cors=0.7.0=pypi_0 | ||
aioredis=1.3.1=pypi_0 | ||
appnope=0.1.0=py38_1001 | ||
argon2-cffi=20.1.0=py38haf1e3a3_1 | ||
ase=3.20.1=pypi_0 | ||
async-timeout=3.0.1=pypi_0 | ||
async_generator=1.10=py_0 | ||
attrs=20.2.0=py_0 | ||
ax-platform=0.1.18=pypi_0 | ||
backcall=0.2.0=py_0 | ||
beautifulsoup4=4.9.3=pypi_0 | ||
blas=1.0=mkl | ||
bleach=3.2.1=py_0 | ||
blessings=1.7=pypi_0 | ||
boltons=20.2.1=pypi_0 | ||
botorch=0.3.2=pypi_0 | ||
ca-certificates=2020.10.14=0 | ||
cachetools=4.1.0=pypi_0 | ||
certifi=2020.6.20=pyhd3eb1b0_3 | ||
cffi=1.14.3=py38hed5b41f_0 | ||
chardet=3.0.4=pypi_0 | ||
click=7.1.2=pypi_0 | ||
colorama=0.4.4=pypi_0 | ||
colorful=0.5.4=pypi_0 | ||
cycler=0.10.0=py38_0 | ||
dbus=1.13.18=h18a8e69_0 | ||
decorator=4.4.2=pypi_0 | ||
defusedxml=0.6.0=py_0 | ||
dgl=0.4.3.post2=pypi_0 | ||
entrypoints=0.3=py38_0 | ||
et-xmlfile=1.0.1=pypi_0 | ||
expat=2.2.10=hb1e8313_2 | ||
filelock=3.0.12=pypi_0 | ||
freetype=2.10.2=ha233b18_0 | ||
future=0.18.2=pypi_0 | ||
gettext=0.19.8.1=hb0f4f8b_2 | ||
glib=2.66.1=h9bbe63b_0 | ||
google=3.0.0=pypi_0 | ||
google-api-core=1.23.0=pypi_0 | ||
google-auth=1.23.0=pypi_0 | ||
google-auth-oauthlib=0.4.1=pypi_0 | ||
googleapis-common-protos=1.52.0=pypi_0 | ||
googledrivedownloader=0.4=pypi_0 | ||
gpustat=0.6.0=pypi_0 | ||
gputil=1.4.0=pypi_0 | ||
gpytorch=1.2.1=pypi_0 | ||
grpcio=1.30.0=pypi_0 | ||
h5py=2.10.0=pypi_0 | ||
hiredis=1.1.0=pypi_0 | ||
icu=58.2=h0a44026_3 | ||
idna=2.10=pypi_0 | ||
importlib-metadata=2.0.0=py_1 | ||
importlib_metadata=2.0.0=1 | ||
iniconfig=1.1.1=py_0 | ||
intel-openmp=2019.4=233 | ||
ipykernel=5.3.4=py38h5ca1d4c_0 | ||
ipython=7.18.1=py38h5ca1d4c_0 | ||
ipython_genutils=0.2.0=py38_0 | ||
ipywidgets=7.5.1=py_1 | ||
isodate=0.6.0=pypi_0 | ||
jdcal=1.4.1=pypi_0 | ||
jedi=0.17.2=py38_0 | ||
jinja2=2.11.2=py_0 | ||
joblib=0.15.1=py_0 | ||
jpeg=9b=he5867d9_2 | ||
jsonschema=3.2.0=py_2 | ||
jupyter=1.0.0=py38_7 | ||
jupyter_client=6.1.7=py_0 | ||
jupyter_console=6.2.0=py_0 | ||
jupyter_core=4.6.3=py38_0 | ||
jupyterlab_pygments=0.1.2=py_0 | ||
kiwisolver=1.2.0=py38h04f5b5a_0 | ||
libcxx=10.0.0=1 | ||
libedit=3.1.20191231=haf1e3a3_0 | ||
libffi=3.3=h0a44026_1 | ||
libgfortran=3.0.1=h93005f0_2 | ||
libiconv=1.16=h1de35cc_0 | ||
libpng=1.6.37=ha441bb4_0 | ||
libprotobuf=3.13.0.1=hab81aa3_0 | ||
libsodium=1.0.18=h1de35cc_0 | ||
libtiff=4.1.0=hcb84e12_1 | ||
littleutils=0.2.2=pypi_0 | ||
llvm-openmp=10.0.0=h28b9765_0 | ||
llvmlite=0.34.0=pypi_0 | ||
lz4-c=1.9.2=h0a44026_0 | ||
markdown=3.2.2=pypi_0 | ||
markupsafe=1.1.1=py38h1de35cc_1 | ||
matplotlib=3.2.2=0 | ||
matplotlib-base=3.2.2=py38h5670ca0_0 | ||
mistune=0.8.4=py38h1de35cc_1001 | ||
mkl=2019.4=233 | ||
mkl-service=2.3.0=py38hfbe908c_0 | ||
mkl_fft=1.1.0=py38hc64f4ea_0 | ||
mkl_random=1.1.1=py38h959d312_0 | ||
more-itertools=8.5.0=py_0 | ||
msgpack=1.0.0=pypi_0 | ||
multidict=5.0.0=pypi_0 | ||
nbclient=0.5.1=py_0 | ||
nbconvert=6.0.7=py38_0 | ||
nbformat=5.0.8=py_0 | ||
ncurses=6.2=h0a44026_1 | ||
nest-asyncio=1.4.1=py_0 | ||
networkx=2.4=pypi_0 | ||
ninja=1.9.0=py38h04f5b5a_0 | ||
notebook=6.1.4=py38_0 | ||
numba=0.51.2=pypi_0 | ||
numpy=1.19.3=pypi_0 | ||
numpy-base=1.18.5=py38h3304bdc_0 | ||
nvidia-ml-py3=7.352.0=pypi_0 | ||
oauthlib=3.1.0=pypi_0 | ||
ogb=1.2.4=pypi_0 | ||
olefile=0.46=py_0 | ||
opencensus=0.7.11=pypi_0 | ||
opencensus-context=0.1.2=pypi_0 | ||
openpyxl=3.0.5=pypi_0 | ||
openssl=1.1.1h=haf1e3a3_0 | ||
outdated=0.2.0=pypi_0 | ||
packaging=20.4=py_0 | ||
pandas=1.0.5=py38h959d312_0 | ||
pandoc=2.11=h0dc7051_0 | ||
pandocfilters=1.4.2=py38_1 | ||
parso=0.7.0=py_0 | ||
pcre=8.44=hb1e8313_0 | ||
pexpect=4.8.0=py38_1 | ||
pickleshare=0.7.5=py38_1001 | ||
pillow=7.1.2=py38h4655f20_0 | ||
pip=20.1.1=py38_1 | ||
plotly=4.12.0=pypi_0 | ||
pluggy=0.13.1=py38_0 | ||
prometheus_client=0.8.0=py_0 | ||
prompt-toolkit=3.0.8=py_0 | ||
prompt_toolkit=3.0.8=0 | ||
protobuf=3.12.2=pypi_0 | ||
psutil=5.7.3=pypi_0 | ||
ptyprocess=0.6.0=py38_0 | ||
py=1.9.0=py_0 | ||
py-spy=0.3.3=pypi_0 | ||
pyasn1=0.4.8=pypi_0 | ||
pyasn1-modules=0.2.8=pypi_0 | ||
pycparser=2.20=py_2 | ||
pygments=2.7.2=pyhd3eb1b0_0 | ||
pykeops=1.4.1=pypi_0 | ||
pyparsing=2.4.7=py_0 | ||
pyqt=5.9.2=py38h655552a_2 | ||
pyrsistent=0.17.3=py38haf1e3a3_0 | ||
pytest=6.1.1=py38_0 | ||
python=3.8.3=h26836e1_1 | ||
python-dateutil=2.8.1=py_0 | ||
pytorch-lightning=0.8.1=pypi_0 | ||
pytz=2020.1=py_0 | ||
pyzmq=19.0.2=py38hb1e8313_1 | ||
qt=5.9.7=h468cd18_1 | ||
qtconsole=4.7.7=py_0 | ||
qtpy=1.9.0=py_0 | ||
ray=1.0.0=pypi_0 | ||
rdflib=5.0.0=pypi_0 | ||
readline=8.0=h1de35cc_0 | ||
redis=3.4.1=pypi_0 | ||
requests=2.24.0=pypi_0 | ||
requests-oauthlib=1.3.0=pypi_0 | ||
retrying=1.3.3=pypi_0 | ||
rsa=4.6=pypi_0 | ||
scikit-learn=0.23.1=py38h603561c_0 | ||
scipy=1.5.3=pypi_0 | ||
send2trash=1.5.0=py38_0 | ||
setuptools=47.3.1=py38_0 | ||
sip=4.19.8=py38h0a44026_0 | ||
six=1.15.0=py_0 | ||
soupsieve=2.0.1=pypi_0 | ||
sqlalchemy=1.3.20=pypi_0 | ||
sqlite=3.32.3=hffcf06c_0 | ||
tabulate=0.8.7=pypi_0 | ||
tensorboard=2.2.2=pypi_0 | ||
tensorboard-plugin-wit=1.7.0=pypi_0 | ||
tensorboardx=2.1=pypi_0 | ||
terminado=0.9.1=py38_0 | ||
testpath=0.4.4=py_0 | ||
threadpoolctl=2.1.0=pyh5ca1d4c_0 | ||
tk=8.6.10=hb0a8c7a_0 | ||
toml=0.10.1=py_0 | ||
torch=1.6.0=pypi_0 | ||
torch-geometric=1.6.1=pypi_0 | ||
torch-scatter=2.0.5=pypi_0 | ||
torch-sparse=0.6.7=pypi_0 | ||
torchdiffeq=0.1.1=pypi_0 | ||
torchsde=0.2.1=pypi_0 | ||
torchsummary=1.5.1=pypi_0 | ||
torchvision=0.7.0=pypi_0 | ||
tornado=6.0.4=py38h1de35cc_1 | ||
tqdm=4.46.1=pypi_0 | ||
traitlets=5.0.5=py_0 | ||
trampoline=0.1.2=pypi_0 | ||
typeguard=2.10.0=pypi_0 | ||
typing-extensions=3.7.4.3=pypi_0 | ||
urllib3=1.25.9=pypi_0 | ||
wcwidth=0.2.5=py_0 | ||
webencodings=0.5.1=py38_1 | ||
werkzeug=1.0.1=pypi_0 | ||
wheel=0.34.2=py38_0 | ||
widgetsnbextension=3.5.1=py38_0 | ||
xz=5.2.5=h1de35cc_0 | ||
yarl=1.6.2=pypi_0 | ||
zeromq=4.3.3=hb1e8313_3 | ||
zipp=3.4.0=pyhd3eb1b0_0 | ||
zlib=1.2.11=h1de35cc_3 | ||
zstd=1.4.4=h1990bb4_3 | ||
h5py==2.10.0 | ||
jupyter==1.0.0 | ||
matplotlib==3.2.2 | ||
networkx==2.4 | ||
numba==0.51.2 | ||
numpy==1.19.3 | ||
ogb==1.2.4 | ||
pandas==1.0.5 | ||
pip==20.1.1 | ||
pykeops==1.4.1 | ||
pytest==6.1.1 | ||
ray==1.0.0 | ||
scikit-learn==0.23.1 | ||
scipy==1.5.3 | ||
six==1.15.0 | ||
tqdm==4.46.1 | ||
torchdiffeq==0.1.1 | ||
tabulate==0.8.7 | ||
|
||
# reliant on cuda version | ||
# torch==1.6.0=pypi_0 | ||
# torch-geometric=1.6.1=pypi_0 | ||
# torch-scatter=2.0.5=pypi_0 | ||
# torch-sparse=0.6.7=pypi_0 | ||
# torchdiffeq=0.1.1=pypi_0 | ||
# torchsde=0.2.1=pypi_0 | ||
# torchsummary=1.5.1=pypi_0 | ||
# torchvision=0.7.0=pypi_0 |
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