We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Below is a Conda environment that can run PMDM correctly:
name: pmdm channels: - nvidia - conda-forge - pytorch - defaults dependencies: - _libgcc_mutex=0.1=conda_forge - _openmp_mutex=4.5=2_gnu - acpype=2022.7.21=pyhd8ed1ab_1 - ambertools=22.4=py39h804d063_0 - arpack=3.7.0=hdefa2d7_2 - blas=1.0=mkl - boost=1.78.0=py39hda80f44_5 - boost-cpp=1.78.0=h2c5509c_4 - bottleneck=1.3.7=py39ha9d4c09_0 - brotli=1.0.9=h5eee18b_7 - brotli-bin=1.0.9=h5eee18b_7 - brotli-python=1.0.9=py39h6a678d5_7 - bzip2=1.0.8=hd590300_5 - c-ares=1.19.1=h5eee18b_0 - ca-certificates=2024.3.11=h06a4308_0 - cairo=1.18.0=h3faef2a_0 - certifi=2024.2.2=py39h06a4308_0 - charset-normalizer=2.0.4=pyhd3eb1b0_0 - contourpy=1.2.0=py39hdb19cb5_0 - cuda-cudart=11.8.89=0 - cuda-cupti=11.8.87=0 - cuda-libraries=11.8.0=0 - cuda-nvrtc=11.8.89=0 - cuda-nvtx=11.8.86=0 - cuda-runtime=11.8.0=0 - cuda-version=11.8=h70ddcb2_3 - cudatoolkit=11.8.0=h4ba93d1_13 - cudatoolkit-dev=11.7.0=h1de0b5d_6 - cudnn=8.9.7.29=hbc23b4c_3 - curl=8.5.0=hdbd6064_0 - cycler=0.11.0=pyhd3eb1b0_0 - cython=3.0.10=py39h5eee18b_0 - expat=2.5.0=h6a678d5_0 - ffmpeg=4.3=hf484d3e_0 - fftw=3.3.10=nompi_hc118613_108 - filelock=3.13.1=py39h06a4308_0 - font-ttf-dejavu-sans-mono=2.37=hd3eb1b0_0 - font-ttf-inconsolata=2.001=hcb22688_0 - font-ttf-source-code-pro=2.030=hd3eb1b0_0 - font-ttf-ubuntu=0.83=h8b1ccd4_0 - fontconfig=2.14.2=h14ed4e7_0 - fonts-anaconda=1=h8fa9717_0 - fonts-conda-ecosystem=1=hd3eb1b0_0 - freetype=2.12.1=h4a9f257_0 - gdbm=1.18=hd4cb3f1_4 - glib=2.78.4=h6a678d5_0 - glib-tools=2.78.4=h6a678d5_0 - gmp=6.2.1=h295c915_3 - gmpy2=2.1.2=py39heeb90bb_0 - gnutls=3.6.15=he1e5248_0 - greenlet=3.0.1=py39h6a678d5_0 - hdf4=4.2.15=h9772cbc_5 - hdf5=1.12.2=nompi_h4df4325_101 - icu=73.2=h59595ed_0 - idna=3.4=py39h06a4308_0 - importlib_resources=6.1.1=py39h06a4308_1 - intel-openmp=2023.1.0=hdb19cb5_46306 - jinja2=3.1.3=py39h06a4308_0 - jpeg=9e=h5eee18b_1 - kiwisolver=1.4.4=py39h6a678d5_0 - krb5=1.20.1=h143b758_1 - lame=3.100=h7b6447c_0 - lcms2=2.12=h3be6417_0 - ld_impl_linux-64=2.38=h1181459_1 - lerc=3.0=h295c915_0 - libaec=1.1.3=h59595ed_0 - libblas=3.9.0=1_h86c2bf4_netlib - libbrotlicommon=1.0.9=h5eee18b_7 - libbrotlidec=1.0.9=h5eee18b_7 - libbrotlienc=1.0.9=h5eee18b_7 - libcublas=11.11.3.6=0 - libcufft=10.9.0.58=0 - libcufile=1.9.1.3=0 - libcurand=10.3.5.147=0 - libcurl=8.5.0=h251f7ec_0 - libcusolver=11.4.1.48=0 - libcusparse=11.7.5.86=0 - libdeflate=1.17=h5eee18b_1 - libedit=3.1.20230828=h5eee18b_0 - libev=4.33=h7f8727e_1 - libffi=3.4.4=h6a678d5_0 - libgcc-ng=13.2.0=h807b86a_5 - libgfortran-ng=13.2.0=h69a702a_5 - libgfortran5=13.2.0=ha4646dd_5 - libglib=2.78.4=hdc74915_0 - libgomp=13.2.0=h807b86a_5 - libiconv=1.17=hd590300_2 - libidn2=2.3.4=h5eee18b_0 - libjpeg-turbo=2.0.0=h9bf148f_0 - liblapack=3.9.0=5_h92ddd45_netlib - libnetcdf=4.9.1=nompi_h34a3ff0_101 - libnghttp2=1.57.0=h2d74bed_0 - libnpp=11.8.0.86=0 - libnsl=2.0.1=hd590300_0 - libnvjpeg=11.9.0.86=0 - libpng=1.6.39=h5eee18b_0 - libsqlite=3.45.2=h2797004_0 - libssh2=1.10.0=hdbd6064_2 - libstdcxx-ng=13.2.0=h7e041cc_5 - libtasn1=4.19.0=h5eee18b_0 - libtiff=4.5.1=h6a678d5_0 - libunistring=0.9.10=h27cfd23_0 - libuuid=2.38.1=h0b41bf4_0 - libwebp-base=1.3.2=h5eee18b_0 - libxcb=1.15=h7f8727e_0 - libxcrypt=4.4.36=hd590300_1 - libxml2=2.12.6=h232c23b_1 - libzip=1.10.1=h2629f0a_3 - libzlib=1.2.13=hd590300_5 - llvm-openmp=14.0.6=h9e868ea_0 - lz4-c=1.9.4=h6a678d5_0 - markupsafe=2.1.3=py39h5eee18b_0 - mkl=2023.1.0=h213fc3f_46344 - mkl-service=2.4.0=py39h5eee18b_1 - mkl_fft=1.3.8=py39h5eee18b_0 - mkl_random=1.2.4=py39hdb19cb5_0 - mpc=1.1.0=h10f8cd9_1 - mpfr=4.0.2=hb69a4c5_1 - mpmath=1.3.0=py39h06a4308_0 - munkres=1.1.4=py_0 - ncurses=6.4=h6a678d5_0 - netcdf-fortran=4.6.0=nompi_heb5813c_103 - nettle=3.7.3=hbbd107a_1 - networkx=3.1=py39h06a4308_0 - numexpr=2.8.7=py39h85018f9_0 - numpy=1.23.5=py39hf6e8229_1 - numpy-base=1.23.5=py39h060ed82_1 - openbabel=3.1.1=py39h2d01fe1_9 - openh264=2.1.1=h4ff587b_0 - openjpeg=2.4.0=h3ad879b_0 - openssl=3.2.1=hd590300_1 - packaging=23.2=py39h06a4308_0 - packmol=20.010=h86c2bf4_0 - pandas=2.1.3=py39hddac248_0 - parmed=3.4.4=py39h227be39_0 - pcre2=10.42=hebb0a14_0 - perl=5.34.0=h5eee18b_2 - pillow=10.2.0=py39h5eee18b_0 - pip=23.3.1=py39h06a4308_0 - pixman=0.43.2=h59595ed_0 - pycairo=1.23.0=py39hd1222b9_0 - pyparsing=3.0.9=py39h06a4308_0 - pysocks=1.7.1=py39h06a4308_0 - python=3.9.18=h0755675_1_cpython - python-dateutil=2.8.2=pyhd3eb1b0_0 - python-tzdata=2023.3=pyhd3eb1b0_0 - python_abi=3.9=4_cp39 - pytorch=2.1.1=py3.9_cuda11.8_cudnn8.7.0_0 - pytorch-cuda=11.8=h7e8668a_5 - pytorch-mutex=1.0=cuda - pytz=2023.3.post1=py39h06a4308_0 - pyyaml=6.0.1=py39h5eee18b_0 - rdkit=2022.09.1=py39hb00a813_2 - readline=8.2=h5eee18b_0 - reportlab=3.5.67=py39hfdd840d_1 - requests=2.31.0=py39h06a4308_1 - scipy=1.12.0=py39h5f9d8c6_0 - setuptools=68.2.2=py39h06a4308_0 - six=1.16.0=pyhd3eb1b0_1 - sqlalchemy=2.0.25=py39h5eee18b_0 - sqlite=3.41.2=h5eee18b_0 - sympy=1.12=py39h06a4308_0 - tbb=2021.8.0=hdb19cb5_0 - tk=8.6.13=noxft_h4845f30_101 - torchaudio=2.1.1=py39_cu118 - torchtriton=2.1.0=py39 - torchvision=0.16.1=py39_cu118 - typing-extensions=4.9.0=py39h06a4308_1 - typing_extensions=4.9.0=py39h06a4308_1 - tzdata=2024a=h04d1e81_0 - urllib3=2.1.0=py39h06a4308_1 - wheel=0.41.2=py39h06a4308_0 - xorg-kbproto=1.0.7=h7f98852_1002 - xorg-libice=1.1.1=hd590300_0 - xorg-libsm=1.2.4=h7391055_0 - xorg-libx11=1.8.9=h8ee46fc_0 - xorg-libxext=1.3.4=h0b41bf4_2 - xorg-libxrender=0.9.11=hd590300_0 - xorg-libxt=1.3.0=hd590300_1 - xorg-renderproto=0.11.1=h7f98852_1002 - xorg-xextproto=7.3.0=h0b41bf4_1003 - xorg-xproto=7.0.31=h27cfd23_1007 - xz=5.4.6=h5eee18b_0 - yaml=0.2.5=h7b6447c_0 - zipp=3.17.0=py39h06a4308_0 - zlib=1.2.13=hd590300_5 - zstd=1.5.5=hc292b87_0 - pip: - aiohttp==3.9.4 - aiosignal==1.3.1 - amberlite==22.0 - amberutils==21.0 - async-timeout==4.0.3 - attrs==23.2.0 - biopython==1.83 - easydict==1.13 - einops==0.7.0 - fonttools==4.45.0 - frozenlist==1.4.1 - fsspec==2024.3.1 - joblib==1.4.0 - lmdb==1.4.1 - matplotlib==3.8.2 - mmpbsa-py==16.0 - multidict==6.0.5 - packmol-memgen==1.2.3rc0 - pdb4amber==22.0 - psutil==5.9.8 - pytraj==2.0.6 - sander==22.0 - scikit-learn==1.4.2 - threadpoolctl==3.4.0 - torch-cluster==1.6.3+pt21cu118 - torch-geometric==2.4.0 - torch-scatter==2.1.2+pt21cu118 - torch-sparse==0.6.18+pt21cu118 - torch-spline-conv==1.2.2+pt21cu118 - tqdm==4.66.2 - yarl==1.9.4 prefix: /home/user/miniconda3/envs/pmdm
The text was updated successfully, but these errors were encountered:
Great thanks for this useful information. Yes, PMDM could work on this env. I will update the env file.
Sorry, something went wrong.
No branches or pull requests
Below is a Conda environment that can run PMDM correctly:
The text was updated successfully, but these errors were encountered: