.. _cerebras-docs:


Explore the Documentation
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  <p style="font-size: 1.05em">This documentation will help you program for the CS system. It covers both basic and advanced topics. Use these docs to accelerate your machine learning training and inference applications on the CS system. Here you will find getting started guides, quickstarts, tutorials, code examples, release notes, and more.
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  <h2>Learn Cerebras basics</h2>

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      <timeline-h3 class="timeline-title">How Cerebras works</timeline-h3>
      <a href="cerebras-basics/how-cerebras-works.html" class="card-link">How Cerebras works</a>
      <p>Start by learning the basics about how Cerebras systems are deployed and used.</p>
      <a href="cerebras-basics/how-cerebras-works.html#installations" class="card-link">Cerebras installations</a>
      <p>Cerebras offers two forms of deployment for CS systems, Wafer-Scale clusters and Original Cerebras installations. Which one do you have?</p>
      <a href="cerebras-basics/how-cerebras-works.html#cerebras-software" class="card-link">Cerebras Software Platform</a>
      <p>The Cerebras Graph Compiler (CGC) compiles your ML code into a binary for execution on a CS system.</p>
      <a href="cerebras-basics/how-cerebras-works.html#execution_modes" class="card-link">Pipelined and Weight Streaming execution</a>
      <p>Cerebras Software Platform supports two execution modes on CS systems.</p>
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      <timeline-h3 class="timeline-title">Types of CS systems installations in more details</timeline-h3>
      <a href="cerebras-basics/cerebras-installations.html" class="card-link">Types of installations</a>
      <p>Learn about Wafer-Scale cluster and Original Cerebras installation and what execution modes are supported by them.</p>
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      <timeline-h3 class="timeline-title">Execution modes in more details</timeline-h3>
      <a href="cerebras-basics/cerebras-execution-modes.html" class="card-link">Pipelined and Weight Streaming modes</a>
      <p>How Pipelined and Weight Streaming work.</p>
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      <timeline-h3 class="timeline-title">ML workflow on Cerebras</timeline-h3>
      <a href="cerebras-basics/cs-ml-workflow.html" class="card-link">Cerebras ML workflow</a>
      <p>Whether your framework is TensorFlow or PyTorch, get to know the general ML workflow on Cerebras first.</p>
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  <h2> Quickstarts</h2>

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      <timeline-h3 class="timeline-title">Quickstarts for Wafer-Scale Cluster</timeline-h3>
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                  <h3 class="card-title">TensorFlow: Getting Started</h3>
                  <a href="getting-started/tensorflow/index.html">Quick-Start Guide with a Simple TensorFlow Model on a Cerebras Wafer-Scale Cluster</a>
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                  <h3 class="card-title">PyTorch: Getting Started</h3>
                  <a href="getting-started/pytorch/index.html" class="card-link">Quick-Start Guide with a Simple PyTorch Model on a Cerebras Wafer-Scale Cluster</a>
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                  <h3 class="card-title">TensorFlow: Getting Started</h3>
                  <a href="getting-started/tensorflow/index2.html">Quick-Start Guide with a Simple TensorFlow Model in an Original Cerebras Installation</a>
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                  <h3 class="card-title">PyTorch: Getting Started</h3>
                  <a href="getting-started/pytorch/index2.html" class="card-link">Quick-Start Guide with a Simple PyTorch Model in an Original Cerebras Installation</a>
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  <h2>Check out the reference models</h2>
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      <a href="https://github.com/Cerebras/modelzoo/tree/master/modelzoo" class="card-link">Cerebras Model Zoo Reference Models</a>
      <p>GitHub repo with a partial list of various neural network models currently supported. </p>
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  <h2> Start developing</h2>
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      <timeline-h3 class="timeline-title">Dive into developing with TensorFlow and PyTorch</timeline-h3>

      <p>PyTorch or TensorFlow, we got you covered. Start your framework-to-CS journey here.</p>
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                  <h3 class="card-title">Develop with TensorFlow</h3>
                  <a href="tensorflow-docs/cs-tf-workflow.html" class="card-link">Start your TensorFlow to CS journey here</a>
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                  <h3 class="card-title">Develop with PyTorch</h3>
                  <a href="pytorch-docs/pytorch-cs-workflow.html" class="card-link">Start your PyTorch to CS journey here</a>
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  <!-- <h2>Optimize performance</h2> -->
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      <a href="general/performance-optimization.html" class="card-link">Performance optimization practices</a>
      <p>Determine optimal Slurm resources, use the compiler report to enhance input function. </p>

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  <h2>Extensions</h2>
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      <timeline-h3 class="timeline-title">Extensions</timeline-h3>
      <a href="software-guides/adding-custom-pkgs-to-cbcore-container.html" class="card-link">Adding custom packages to cbcore</a>
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Contact
    For questions and feedback on documentation
    Contact ``docs@cerebras.net`` via email.

    For support
    Contact ``support@cerebras.net`` via email.

Cerebras company website
    Visit `cerebras.net <https://cerebras.net/>`_.


.. toctree::
  :maxdepth: 3
  :hidden:

  release-notes/rel-notes-cumulative.rst
  release-notes/doc-updates.rst

.. toctree::
  :caption: Cerebras Basics
  :maxdepth: 2
  :hidden:

  cerebras-basics/how-cerebras-works.rst
  cerebras-basics/cerebras-installations.rst
  cerebras-basics/cerebras-execution-modes.rst
  cerebras-basics/cs-ml-workflow.rst
  cerebras-basics/glossary.rst

.. toctree::
  :caption: Getting Started with Cerebras Wafer-Scale Cluster
  :maxdepth: 2
  :hidden:

  getting-started/software-dependencies.rst
  getting-started/pytorch/index.rst
  getting-started/tensorflow/index.rst
  getting-started/job-scheduler.rst

  
.. toctree::
  :caption: Getting Started with Original Cerebras Installation
  :maxdepth: 2
  :hidden:

  getting-started/software-dependencies-original-installation.rst
  getting-started/pytorch/index2.rst
  getting-started/tensorflow/index2.rst

  
.. toctree::
  :caption: Scripts and Templates (Original Cerebras Installation Only)
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  :hidden:

  getting-started/pytorch/run-py-template.rst
  getting-started/pytorch/csrun-cpu.rst
  getting-started/pytorch/csrun-wse.rst
  getting-started/tensorflow/cs_input_analyzer.rst

.. toctree::
  :maxdepth: 2
  :caption: Model Zoo Repository
  :hidden:

  reference-samples/modelzoo.rst
  reference-samples/gpu-requirements.rst

.. toctree::
  :maxdepth: 2
  :caption: Cerebras Advanced
  :hidden:

  general/dataloader/index.rst
  general/cs-1-data-formats.rst
  general/dynamic-loss-scaling.rst
  general/performance-optimization.rst
  general/multi-replica-data-parallel-training.rst
  general/sparsity.rst
  general/checkpoint-formats.rst
  

.. toctree::
  :maxdepth: 2
  :caption: Develop with TensorFlow (Pipelined Mode Only)
  :hidden:

  tensorflow-docs/cs-tf-workflow.rst
  tensorflow-docs/porting-tf-to-cs/index.rst
  tensorflow-docs/preparing-tf-input/index.rst
  tensorflow-docs/tf-dynamic-loss-scaling.rst
  tensorflow-docs/compile-on-cpu/validate-and-compile-on-cpu.rst
  tensorflow-docs/running-a-model/train-eval-predict.rst
  tensorflow-docs/early-stopping.rst
  tensorflow-docs/multiple-models/index.rst
  tensorflow-docs/tf-vsl.rst
  tensorflow-docs/tuning-tf-for-cs/using-tensorboard.rst
  tensorflow-docs/tuning-tf-for-cs/best-practices-tf.rst
  tensorflow-docs/tf-layers/index.rst


.. toctree::
  :maxdepth: 2
  :caption: Develop with PyTorch (Pipelined Mode Only)
  :hidden:

  pytorch-docs/pytorch-cs-workflow.rst
  pytorch-docs/adapting-pytorch-to-cs.rst
  pytorch-docs/pytorch-checkpointing.rst
  pytorch-docs/pytorch-custom-runner.rst
  pytorch-docs/pytorch-vts.rst
  pytorch-docs/cbtorch-limitations.rst
  pytorch-docs/pytorch-ops/index.rst

.. toctree::
  :maxdepth: 2
  :caption: Compiler Reports (Pipelined Mode Only)
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  compiler-reports/input-function-report.rst
  compiler-reports/compile-report.rst
  compiler-reports/incremental-compile.rst


.. toctree::
  :caption: Extensions (Original Cerebras Installation Only)
  :maxdepth: 2
  :hidden:

  software-guides/adding-custom-pkgs-to-cbcore-container.rst