Loading docs/requirements.txt +3 −3 Original line number Diff line number Diff line Loading @@ -2,6 +2,6 @@ pandas scikit-learn sphinx>=3.2,<4 sphinx_rtd_theme>=0.5,<1 tensorflow>=2.3,<2.4 transformers torch==1.8.1 tensorflow>=2.4 transformers>=4.6.* torch>=1.8.1 docs/source/get_started/installation.rst +9 −2 Original line number Diff line number Diff line Loading @@ -42,16 +42,19 @@ For using general utilites like Molnet, Featurisers, Datasets, etc, then, you in pip install deepchem For using models with tensorflow dependencies, you install using .. code-block:: bash pip install --pre deepchem[tensorflow] For using models with Pytorch dependencies, you install using .. code-block:: bash pip install --pre deepchem[torch] For using models with Jax dependencies, you install using .. code-block:: bash pip install --pre deepchem[jax] Loading Loading @@ -215,6 +218,7 @@ First, please clone the deepchem repository from GitHub. cd deepchem We would advise all users to use with a conda environment, following below- .. code-block:: bash conda create --name deepchem python=3.7 Loading @@ -222,22 +226,25 @@ We would advise all users to use with a conda environment, following below- pip install -e . If one also wants to build the tensorflow environment, add this .. code-block:: bash pip install -e .[tensorflow] If one also wants to build the Pytorch environment, add this .. code-block:: bash pip install -e .[torch] If one also wants to build the Jax environment, add this .. code-block:: bash pip install -e .[tensorflow] DeepChem has soft requirements, which can be installed on the fly during development but if you would a install all the packages at once, then take a look `deepchem/requirement/`_ DeepChem has soft requirements, which can be installed on the fly during development inside the environment but if you would a install all the soft-dependencies at once, then take a look `deepchem/requirements/ <https://github.com/deepchem/deepchem/tree/master/requirements>`___ .. _`DeepChem Tutorials`: https://github.com/deepchem/deepchem/tree/master/examples/tutorials Loading Loading
docs/requirements.txt +3 −3 Original line number Diff line number Diff line Loading @@ -2,6 +2,6 @@ pandas scikit-learn sphinx>=3.2,<4 sphinx_rtd_theme>=0.5,<1 tensorflow>=2.3,<2.4 transformers torch==1.8.1 tensorflow>=2.4 transformers>=4.6.* torch>=1.8.1
docs/source/get_started/installation.rst +9 −2 Original line number Diff line number Diff line Loading @@ -42,16 +42,19 @@ For using general utilites like Molnet, Featurisers, Datasets, etc, then, you in pip install deepchem For using models with tensorflow dependencies, you install using .. code-block:: bash pip install --pre deepchem[tensorflow] For using models with Pytorch dependencies, you install using .. code-block:: bash pip install --pre deepchem[torch] For using models with Jax dependencies, you install using .. code-block:: bash pip install --pre deepchem[jax] Loading Loading @@ -215,6 +218,7 @@ First, please clone the deepchem repository from GitHub. cd deepchem We would advise all users to use with a conda environment, following below- .. code-block:: bash conda create --name deepchem python=3.7 Loading @@ -222,22 +226,25 @@ We would advise all users to use with a conda environment, following below- pip install -e . If one also wants to build the tensorflow environment, add this .. code-block:: bash pip install -e .[tensorflow] If one also wants to build the Pytorch environment, add this .. code-block:: bash pip install -e .[torch] If one also wants to build the Jax environment, add this .. code-block:: bash pip install -e .[tensorflow] DeepChem has soft requirements, which can be installed on the fly during development but if you would a install all the packages at once, then take a look `deepchem/requirement/`_ DeepChem has soft requirements, which can be installed on the fly during development inside the environment but if you would a install all the soft-dependencies at once, then take a look `deepchem/requirements/ <https://github.com/deepchem/deepchem/tree/master/requirements>`___ .. _`DeepChem Tutorials`: https://github.com/deepchem/deepchem/tree/master/examples/tutorials Loading
