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when run conda create ,the yml will be some question when used the cloud system.
1:when used cloud system it is better tu run
conda env create -f multi-qg.yml -n name
name is your name to create ,because when used virtual nvidia docker system ,you can't create directly by multi-qg.yml
2:the torch-scatter have a strictly restriction on cuda version and python version,you should check your cuda version and
find the torch-scatter at : https://pytorch-geometric.com/whl/torch-1.5.0.html
pip it by download or change the correct version in multi-qg.yml,i suggest download it !! it is important.i waste lot time here
name:
channels:
pytorch
defaults
dependencies:
_libgcc_mutex=0.1=main
blas=1.0=mkl
ca-certificates=2020.1.1=0
certifi=2020.4.5.1=py36_0
cudatoolkit=10.1.243=h6bb024c_0
freetype=2.9.1=h8a8886c_1
intel-openmp=2020.1=217
jpeg=9b=h024ee3a_2
ld_impl_linux-64=2.33.1=h53a641e_7
libedit=3.1.20181209=hc058e9b_0
libffi=3.3=he6710b0_1
libgcc-ng=9.1.0=hdf63c60_0
libgfortran-ng=7.3.0=hdf63c60_0
libpng=1.6.37=hbc83047_0
libstdcxx-ng=9.1.0=hdf63c60_0
libtiff=4.1.0=h2733197_0
mkl=2020.1=217
mkl-service=2.3.0=py36he904b0f_0
mkl_fft=1.0.15=py36ha843d7b_0
mkl_random=1.1.0=py36hd6b4f25_0
ncurses=6.2=he6710b0_1
ninja=1.9.0=py36hfd86e86_0
numpy=1.18.1=py36h4f9e942_0
numpy-base=1.18.1=py36hde5b4d6_1
olefile=0.46=py36_0
openssl=1.1.1g=h7b6447c_0
pillow=7.1.2=py36hb39fc2d_0
pip=20.0.2=py36_3
python=3.6.10=h7579374_2
pytorch=1.5.0=py3.6_cuda10.1.243_cudnn7.6.3_0
readline=8.0=h7b6447c_0
setuptools=46.4.0=py36_0
six=1.14.0=py36_0
sqlite=3.31.1=h62c20be_1
tk=8.6.8=hbc83047_0
torchvision=0.6.0=py36_cu101
tqdm=4.46.0=py_0
wheel=0.34.2=py36_0
xz=5.2.5=h7b6447c_0
zlib=1.2.11=h7b6447c_3
zstd=1.3.7=h0b5b093_0
pip:
boto3==1.13.15
botocore==1.16.15
chardet==3.0.4
click==7.1.2
docutils==0.15.2
idna==2.9
jmespath==0.10.0
joblib==0.15.1
nltk==3.5
python-dateutil==2.8.1
pyyaml==5.3.1
regex==2020.5.14
requests==2.23.0
s3transfer==0.3.3
scipy==1.4.1
torch-scatter==2.0.5
urllib3==1.25.9
prefix:
The text was updated successfully, but these errors were encountered:
when run conda create ,the yml will be some question when used the cloud system.
1:when used cloud system it is better tu run
conda env create -f multi-qg.yml -n name
name is your name to create ,because when used virtual nvidia docker system ,you can't create directly by multi-qg.yml
2:the torch-scatter have a strictly restriction on cuda version and python version,you should check your cuda version and
find the torch-scatter at :
https://pytorch-geometric.com/whl/torch-1.5.0.html
pip it by download or change the correct version in multi-qg.yml,i suggest download it !! it is important.i waste lot time here
name:
channels:
dependencies:
prefix:
The text was updated successfully, but these errors were encountered: