Loading docker/master/Dockerfile +1 −1 Original line number Diff line number Diff line Loading @@ -15,7 +15,7 @@ ENV PATH /miniconda/bin:$PATH # install deepchem with master branch RUN conda update -n base conda && \ git clone https://github.com/deepchem/deepchem.git && \ git clone --depth 1 https://github.com/deepchem/deepchem.git && \ cd deepchem && \ . /miniconda/etc/profile.d/conda.sh && \ bash scripts/install_deepchem_conda.sh deepchem && \ Loading docs/index.rst +7 −4 Original line number Diff line number Diff line Loading @@ -52,18 +52,21 @@ Google Colab. Check out one of the `DeepChem Tutorials`_ or this `forum post`_ for Colab quick start guides. If you'd like to install DeepChem locally, we recommend using :code:`conda`. If you have :code:`conda` installed, you can install DeepChem with GPU support with the one-liner :code:`conda` and installing RDKit with deepchem. RDKit is a soft requirement package, but many useful methods like molnet depend on it. .. code-block:: bash conda install -y -c deepchem -c rdkit -c conda-forge -c omnia deepchem-gpu pip install tensorflow-gpu==1.14 conda install -y -c rdkit -c conda-forge rdkit deepchem For CPU only support instead run .. code-block:: bash conda install -y -c deepchem -c rdkit -c conda-forge -c omnia deepchem pip install tensorflow==1.14 conda install -y -c rdkit -c conda-forge rdkit deepchem Then open your python and try running. Loading Loading
docker/master/Dockerfile +1 −1 Original line number Diff line number Diff line Loading @@ -15,7 +15,7 @@ ENV PATH /miniconda/bin:$PATH # install deepchem with master branch RUN conda update -n base conda && \ git clone https://github.com/deepchem/deepchem.git && \ git clone --depth 1 https://github.com/deepchem/deepchem.git && \ cd deepchem && \ . /miniconda/etc/profile.d/conda.sh && \ bash scripts/install_deepchem_conda.sh deepchem && \ Loading
docs/index.rst +7 −4 Original line number Diff line number Diff line Loading @@ -52,18 +52,21 @@ Google Colab. Check out one of the `DeepChem Tutorials`_ or this `forum post`_ for Colab quick start guides. If you'd like to install DeepChem locally, we recommend using :code:`conda`. If you have :code:`conda` installed, you can install DeepChem with GPU support with the one-liner :code:`conda` and installing RDKit with deepchem. RDKit is a soft requirement package, but many useful methods like molnet depend on it. .. code-block:: bash conda install -y -c deepchem -c rdkit -c conda-forge -c omnia deepchem-gpu pip install tensorflow-gpu==1.14 conda install -y -c rdkit -c conda-forge rdkit deepchem For CPU only support instead run .. code-block:: bash conda install -y -c deepchem -c rdkit -c conda-forge -c omnia deepchem pip install tensorflow==1.14 conda install -y -c rdkit -c conda-forge rdkit deepchem Then open your python and try running. Loading
