missing dpg-windows-GPU.yaml

[emorgand]

Hello,

I am trying to install deepgraphpose on a windows operating system. I noticed that there is no dpg-windows-GPU.yaml within the src folder. I also noticed that there is tread within issues discussing use of deepgraphpose on windows. Where would I find the dpg-windows-GPU.yaml for installation?

Thanks for your help!

[waq1129]

Hi

Have you installed DLC on windows successfully? You could do
conda env create -f dlc-windows-GPU.yaml

then follow the instruction.

Best

[emorgand]

Hi

Have you installed DLC on windows successfully? You could do
conda env create -f dlc-windows-GPU.yaml

then follow the instruction.

Best

This worked. Thanks again!

[reflexchem]

name: dgp
channels:

• defaults
  dependencies:
• anyio=3.5.0=py37haa95532_0
• argon2-cffi=21.3.0=pyhd3eb1b0_0
• argon2-cffi-bindings=21.2.0=py37h2bbff1b_0
• attrs=22.1.0=py37haa95532_0
• backcall=0.2.0=pyhd3eb1b0_0
• beautifulsoup4=4.11.1=py37haa95532_0
• blas=1.0=mkl
• bleach=4.1.0=pyhd3eb1b0_0
• blosc=1.21.3=h6c2663c_0
• bzip2=1.0.8=h2bbff1b_6
• ca-certificates=2024.12.31=haa95532_0
• certifi=2022.12.7=py37haa95532_0
• cffi=1.15.1=py37h2bbff1b_3
• colorama=0.4.6=py37haa95532_0
• debugpy=1.5.1=py37hd77b12b_0
• defusedxml=0.7.1=pyhd3eb1b0_0
• entrypoints=0.4=py37haa95532_0
• flit-core=3.6.0=pyhd3eb1b0_0
• geos=3.8.0=h33f27b4_0
• hdf5=1.14.5=ha36df97_2
• icc_rt=2022.1.0=h6049295_2
• idna=3.4=py37haa95532_0
• importlib-metadata=4.11.3=py37haa95532_0
• importlib_metadata=4.11.3=hd3eb1b0_0
• importlib_resources=5.2.0=pyhd3eb1b0_1
• ipykernel=6.15.2=py37haa95532_0
• ipython=7.31.1=py37haa95532_1
• ipython_genutils=0.2.0=pyhd3eb1b0_1
• jedi=0.18.1=py37haa95532_1
• jinja2=3.1.2=py37haa95532_0
• jsonschema=4.17.3=py37haa95532_0
• jupyter_client=7.4.9=py37haa95532_0
• jupyter_core=4.11.2=py37haa95532_0
• jupyter_server=1.23.4=py37haa95532_0
• jupyterlab_pygments=0.1.2=py_0
• libiconv=1.16=h2bbff1b_3
• libsodium=1.0.18=h62dcd97_0
• libxml2=2.9.14=h0ad7f3c_0
• libxslt=1.1.35=h2bbff1b_0
• lxml=4.9.1=py37h1985fb9_0
• lz4-c=1.9.4=h2bbff1b_1
• lzo=2.10=he774522_2
• markupsafe=2.1.1=py37h2bbff1b_0
• matplotlib-inline=0.1.6=py37haa95532_0
• mistune=0.8.4=py37hfa6e2cd_1001
• mkl=2020.2=256
• mkl-service=2.3.0=py37h196d8e1_0
• mkl_fft=1.2.0=py37h45dec08_0
• mkl_random=1.1.1=py37h47e9c7a_0
• mock=4.0.3=pyhd3eb1b0_0
• nb_conda=2.2.1=py37_0
• nb_conda_kernels=2.3.1=py37haa95532_0
• nbclassic=0.5.2=py37haa95532_0
• nbclient=0.5.13=py37haa95532_0
• nbconvert=6.5.4=py37haa95532_0
• nbformat=5.7.0=py37haa95532_0
• nest-asyncio=1.5.6=py37haa95532_0
• notebook=6.5.2=py37haa95532_0
• notebook-shim=0.2.2=py37haa95532_0
• numexpr=2.7.1=py37h25d0782_0
• openssl=3.0.15=h827c3e9_0
• packaging=22.0=py37haa95532_0
• pandocfilters=1.5.0=pyhd3eb1b0_0
• parso=0.8.3=pyhd3eb1b0_0
• pickleshare=0.7.5=pyhd3eb1b0_1003
• pip=22.3.1=py37haa95532_0
• pkgutil-resolve-name=1.3.10=py37haa95532_0
• prometheus_client=0.14.1=py37haa95532_0
• prompt-toolkit=3.0.36=py37haa95532_0
• psutil=5.9.0=py37h2bbff1b_0
• pycparser=2.21=pyhd3eb1b0_0
• pygments=2.11.2=pyhd3eb1b0_0
• pyrsistent=0.18.0=py37h196d8e1_0
• python=3.7.1=h33f27b4_4
• python-dateutil=2.8.2=pyhd3eb1b0_0
• python-fastjsonschema=2.16.2=py37haa95532_0
• pywin32=305=py37h2bbff1b_0
• pywinpty=2.0.10=py37h5da7b33_0
• pyzmq=23.2.0=py37hd77b12b_0
• send2trash=1.8.0=pyhd3eb1b0_1
• setuptools=65.6.3=py37haa95532_0
• shapely=1.7.1=py37h210f175_0
• six=1.16.0=pyhd3eb1b0_1
• sniffio=1.2.0=py37haa95532_1
• soupsieve=2.3.2.post1=py37haa95532_0
• sqlite=3.45.3=h2bbff1b_0
• terminado=0.17.1=py37haa95532_0
• tinycss2=1.2.1=py37haa95532_0
• tornado=6.2=py37h2bbff1b_0
• traitlets=5.7.1=py37haa95532_0
• typing-extensions=4.4.0=py37haa95532_0
• typing_extensions=4.4.0=py37haa95532_0
• vc=14.42=haa95532_4
• vs2015_runtime=14.42.34433=he0abc0d_4
• wcwidth=0.2.5=pyhd3eb1b0_0
• webencodings=0.5.1=py37_1
• websocket-client=0.58.0=py37haa95532_4
• wheel=0.38.4=py37haa95532_0
• wincertstore=0.2=py37haa95532_2
• winpty=0.4.3=4
• wxpython=4.0.4=py37ha925a31_0
• xz=5.6.4=h4754444_1
• zeromq=4.3.4=hd77b12b_0
• zipp=3.11.0=py37haa95532_0
• zlib=1.2.13=h8cc25b3_1
• zstd=1.5.6=h8880b57_0
• pip:
  • absl-py==2.1.0
  • astor==0.8.1
  • chardet==5.2.0
  • charset-normalizer==3.4.1
  • click==8.1.8
  • cycler==0.11.0
  • decorator==4.4.2
  • dlclibrary==0.0.7
  • easydict==1.13
  • filelock==3.12.2
  • filterpy==1.4.5
  • fonttools==4.38.0
  • fsspec==2023.1.0
  • gast==0.2.2
  • google-pasta==0.2.0
  • grpcio==1.62.3
  • h5py==2.10.0
  • huggingface-hub==0.16.4
  • imageio==2.31.2
  • imageio-ffmpeg==0.5.1
  • imgaug==0.4.0
  • intel-cmplr-lib-ur==2025.0.5
  • intel-openmp==2025.0.5
  • joblib==1.3.2
  • keras-applications==1.0.8
  • keras-preprocessing==1.1.2
  • kiwisolver==1.4.5
  • llvmlite==0.39.1
  • markdown==3.4.4
  • matplotlib==3.0.3
  • moviepy==1.0.3
  • msgpack==1.0.5
  • msgpack-numpy==0.4.8
  • networkx==2.6.3
  • numba==0.56.4
  • numpy==1.21.6
  • opencv-python==3.4.5.20
  • opt-einsum==3.3.0
  • pandas==1.3.5
  • patsy==1.0.1
  • pillow==9.5.0
  • proglog==0.1.10
  • protobuf==3.20.3
  • pyparsing==3.1.4
  • pytz==2025.1
  • pywavelets==1.3.0
  • pyyaml==6.0.1
  • requests==2.31.0
  • ruamel-yaml==0.18.10
  • ruamel-yaml-clib==0.2.8
  • scikit-image==0.16.2
  • scikit-learn==1.0.2
  • scipy==1.7.3
  • statsmodels==0.10.1
  • tables==3.7.0
  • tabulate==0.9.0
  • tcmlib==1.2.0
  • tensorboard==1.15.0
  • tensorflow==1.15.0
  • tensorflow-estimator==1.15.1
  • tensorpack==0.11
  • termcolor==2.3.0
  • tf-slim==1.1.0
  • threadpoolctl==3.1.0
  • tifffile==2021.11.2
  • torch==1.12.0
  • tqdm==4.67.1
  • umf==0.9.1
  • urllib3==1.26.15
  • werkzeug==2.2.3
  • wrapt==1.16.0

[reflexchem]

not sure If this answers the issue. Created a .yaml to run DGP on CPU. python=3.7.1