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Enable multi-level nav in the left nav bar
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‎_static/css/custom2.css

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margin-bottom: 5px;
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}
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}
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/* Left nav for 2nd level nav */
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.pytorch-left-menu li.toctree-l2 {
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padding-left: 10px;
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}
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.pytorch-left-menu li.toctree-l2.current > a, {
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color: #ee4c2c;
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}
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.pytorch-left-menu li.toctree-l2.current a:link.reference.internal {
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color: #ee4c2c;
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}

‎_templates/layout.html

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{% extends "!layout.html" %}
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<!-- Overrides needed for the multilevel nav -->
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{% block menu %}
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{% if 'singlehtml' not in builder %}
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{% set global_toc = toctree(collapse=theme_collapse_navigation|tobool,
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includehidden=theme_includehidden|tobool,
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titles_only=True) %}
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{% endif %}
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{% if global_toc %}
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{{ global_toc }}
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{% else %}
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<!-- Local TOC -->
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<div class="local-toc">{{ toc }}</div>
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{% endif %}
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{% endblock %}
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<!-- End of overrides needed for the multilevel nav -->
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{%- block content %}
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{{ super() }}
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<script>
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</div>
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{% endblock %}
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{% block footer %}
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{{ super() }}
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<script>

‎beginner_source/basics/intro.py

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.. include:: /beginner_source/basics/qs_toc.txt
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.. toctree::
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:maxdepth: 2
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:hidden:
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quickstart_tutorial
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tensorqs_tutorial
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data_tutorial
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transforms_tutorial
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buildmodel_tutorial
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autogradqs_tutorial
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optimization_tutorial
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saveloadrun_tutorial
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"""

‎beginner_source/introyt.rst

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`Introduction <introyt/introyt1_tutorial.html>`_ ||
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`Tensors <introyt/tensors_deeper_tutorial.html>`_ ||
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`Autograd <introyt/autogradyt_tutorial.html>`_ ||
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`Building Models <introyt/modelsyt_tutorial.html>`_ ||
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`TensorBoard Support <introyt/tensorboardyt_tutorial.html>`_ ||
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`Training Models <introyt/trainingyt.html>`_ ||
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`Model Understanding <introyt/captumyt.html>`_
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Introduction to PyTorch - YouTube Series
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========================================
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Authors:
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`Brad Heintz <https://github.com/fbbradheintz>`_
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This tutorial follows along with the `PyTorch Beginner Series <https://www.youtube.com/playlist?list=PL_lsbAsL_o2CTlGHgMxNrKhzP97BaG9ZN>`_ on YouTube.
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`This tutorial assumes a basic familiarity with Python and Deep Learning concepts.`
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Running the Tutorial Code
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-------------------------
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You can run this tutorial in a couple of ways:
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This page has been moved.
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- **In the cloud**: This is the easiest way to get started! Each section has a Colab link at the top, which opens a notebook with the code in a fully-hosted environment. Pro tip: Use Colab with a GPU runtime to speed up operations *Runtime > Change runtime type > GPU*
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- **Locally**: This option requires you to setup PyTorch and torchvision first on your local machine (`installation instructions <https://pytorch.org/get-started/locally/>`_). Download the notebook or copy the code into your favorite IDE.
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Redirecting now...
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.. include:: /beginner_source/introyt/tocyt.txt
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.. raw:: html
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.. toctree::
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:hidden:
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<meta http-equiv="Refresh" content="0; url='https://pytorch.org/tutorials/introyt/introyt'" />

‎beginner_source/introyt/introyt.py

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"""
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`Introduction <introyt/introyt1_tutorial.html>`_ ||
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`Tensors <introyt/tensors_deeper_tutorial.html>`_ ||
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`Autograd <introyt/autogradyt_tutorial.html>`_ ||
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`Building Models <introyt/modelsyt_tutorial.html>`_ ||
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`TensorBoard Support <introyt/tensorboardyt_tutorial.html>`_ ||
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`Training Models <introyt/trainingyt.html>`_ ||
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`Model Understanding <introyt/captumyt.html>`_
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Introduction to PyTorch - YouTube Series
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========================================
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Authors:
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`Brad Heintz <https://github.com/fbbradheintz>`_
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This tutorial follows along with the `PyTorch Beginner Series <https://www.youtube.com/playlist?list=PL_lsbAsL_o2CTlGHgMxNrKhzP97BaG9ZN>`_ on YouTube.
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`This tutorial assumes a basic familiarity with Python and Deep Learning concepts.`
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Running the Tutorial Code
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-------------------------
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You can run this tutorial in a couple of ways:
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- **In the cloud**: This is the easiest way to get started! Each section has a Colab link at the top, which opens a notebook with the code in a fully-hosted environment. Pro tip: Use Colab with a GPU runtime to speed up operations *Runtime > Change runtime type > GPU*
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- **Locally**: This option requires you to setup PyTorch and torchvision first on your local machine (`installation instructions <https://pytorch.org/get-started/locally/>`_). Download the notebook or copy the code into your favorite IDE.
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.. include:: /beginner_source/introyt/tocyt.txt
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.. toctree::
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:maxdepth: 2
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:hidden:
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introyt1_tutorial
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tensors_deeper_tutorial
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autogradyt_tutorial
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modelsyt_tutorial
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tensorboardyt_tutorial
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trainingyt
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captumyt
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"""

‎conf.py

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html_logo = '_static/img/pytorch-logo-dark.svg'
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html_theme_options = {
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'pytorch_project': 'tutorials',
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'collapse_navigation': False,
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'collapse_navigation': True,
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'display_version': True,
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'navigation_with_keys': True,
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'logo_only': False,

‎index.rst

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.. Page TOC
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.. -----------------------------------------
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.. toctree::
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:maxdepth: 2
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:maxdepth: 1
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:includehidden:
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:caption: PyTorch Recipes
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See All Prototype Recipes <prototype/prototype_index>
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.. toctree::
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:maxdepth: 2
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:maxdepth: 3
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:hidden:
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:includehidden:
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:caption: Introduction to PyTorch
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beginner/basics/intro
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beginner/basics/quickstart_tutorial
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beginner/basics/tensorqs_tutorial
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beginner/basics/data_tutorial
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beginner/basics/transforms_tutorial
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beginner/basics/buildmodel_tutorial
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beginner/basics/autogradqs_tutorial
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beginner/basics/optimization_tutorial
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beginner/basics/saveloadrun_tutorial
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advanced/custom_ops_landing_page
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.. toctree::
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:maxdepth: 2
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:hidden:
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:includehidden:
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:caption: Introduction to PyTorch on YouTube
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beginner/introyt
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beginner/introyt/introyt1_tutorial
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beginner/introyt/tensors_deeper_tutorial
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beginner/introyt/autogradyt_tutorial
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beginner/introyt/modelsyt_tutorial
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beginner/introyt/tensorboardyt_tutorial
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beginner/introyt/trainingyt
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beginner/introyt/captumyt
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beginner/introyt/introyt
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.. toctree::
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intermediate/pinmem_nonblock
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.. toctree::
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:maxdepth: 2
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:maxdepth: 1
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:includehidden:
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:hidden:
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:caption: Image and Video

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