.. _pytorch-cs-workflow:

Workflow for PyTorch on CS
==========================

When you are targeting the Cerebras system for your neural network jobs, start with the high-level workflow described here.

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                    <h3 class="card-title">1</h3>
                    <a href="#port-pytorch-to-cs" class="card-link"><h4>Port PyTorch to CS</h4></a>
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                    <h3 class="card-title">2</h3>
                    <a href="#load-the-data" class="card-link"><h4>Load the data</h4></a>
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                    <h3 class="card-title">3</h3>
                    <a href="#compile-on-cpu" class="card-link"><h4>Compile on CPU</h4></a>
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                    <a href="#train-on-the-cs-system" class="card-link"><h4>Train on CS</h4></a>
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.. attention::

	Several PyTorch models, such as the following, and run scripts, are provided in `Cerebras Reference Samples Git repository <https://github.com/Cerebras/cerebras_reference_implementations>`_:

        - `PyTorch version of FC-MNIST <https://github.com/Cerebras/cerebras_reference_implementations/tree/main/fc_mnist/pytorch>`_, and

        - `PyTorch versions of BERT Base and BERT Large <https://github.com/Cerebras/cerebras_reference_implementations/tree/main/bert/pytorch>`_.


1. Port PyTorch to CS
---------------------

See :ref:`porting-pytorch-to-cs` for detailed documentation on how to port your
PyTorch model to work on a Cerebras System.


2. Load the data
----------------

As mentioned in :ref:`porting-pytorch-to-cs`, you need to provide
:code:`get_train_dataloader` for training and :code:`get_eval_dataloader` for
evaluation. See :ref:`cbtorch-dataloader` for details.

3. Compile on CPU
-----------------

Before you run it on the Cerebras system, we recommend that you iterate until
your model first compiles successfully on a CPU node. Make sure that this CPU
node has the Cerebras Singularity container client software.

As described in :ref:`porting-pytorch-to-cs`, you can verify that your model
will compile by passing in the :code:`--compile_only` flag to the :code:`run`
function's CLI.

4. Train on the Cerebras system
-------------------------------

As described in :ref:`porting-pytorch-to-cs`, you can train or evaluate your
model by providing the IP address of the Cerebras system and the mode you want
to run.