lightning/docs/source/starter/installation.rst

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.. _installation:
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Installation
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Lightning Coverage
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PyTorch Lightning is maintained and tested on different Python and PyTorch versions.
Check out the `CI Coverage <https://github.com/PyTorchLightning/pytorch-lightning#continuous-integration>`_ for more info.
It is rigorously tested across multiple GPUs, TPUs, CPUs and IPUs. GPU tests run on two NVIDIA P100. TPU tests run on Google GKE TPUv2/3.
TPU py3.7 means we support Colab and Kaggle env. IPU tests run on MK1 IPU boxes.
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Installation with Pip
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Install any supported version of PyTorch if you want from `PyTorch Installation Page <https://pytorch.org/get-started/locally/#start-locally>`_.
Now you can install using `pip <https://pypi.org/project/pytorch-lightning/>`_ using the following command:
.. code-block:: bash
pip install pytorch-lightning
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Installation with Conda
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If you don't have conda installed, follow the `Conda Installation Guide <https://docs.conda.io/projects/conda/en/latest/user-guide/install>`_.
Lightning can be installed with `conda <https://anaconda.org/conda-forge/pytorch-lightning>`_ using the following command:
.. code-block:: bash
conda install pytorch-lightning -c conda-forge
You can also use `Conda Environments <https://docs.conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html>`_:
.. code-block:: bash
conda activate my_env
conda install pytorch-lightning -c conda-forge
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Installation from Source
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Install nightly from the source. Note that it contains all the bugfixes and newly released features that
are not published yet. This is the bleeding edge so use it at your own discretion.
.. code-block:: bash
pip install https://github.com/PyTorchLightning/pytorch-lightning/archive/master.zip
Install future patch release from the source. Note that patch release contains only the bugfixes for the recent major release.
.. code-block:: bash
pip install https://github.com/PyTorchLightning/pytorch-lightning/archive/refs/heads/release/1.5.x.zip