[WIP] Updates index.rst for LTB (#1348)

subramen · brianjo · web-flow · commit 8121690fea24 · 2021-03-04T08:22:55.000-05:00
* Updates index.rst for LTB go-live

* Update index.rst, delete unused files, improve readability on intro.html

* Rename tensor and autograd files

Co-authored-by: Brian Johnson &lt;brianjo@fb.com&gt;
diff --git a/_static/img/quickstart/comp-graph.png b/_static/img/quickstart/comp-graph.png
diff --git a/_static/img/quickstart/fashion_mnist.png b/_static/img/quickstart/fashion_mnist.png
diff --git a/_static/img/quickstart/optimizationloops.png b/_static/img/quickstart/optimizationloops.png
diff --git a/_static/img/quickstart/typesdata.png b/_static/img/quickstart/typesdata.png
diff --git a/beginner_source/basics/autogradqs_tutorial.py b/beginner_source/basics/autogradqs_tutorial.py
@@ -1,7 +1,7 @@
 """
 `Learn the Basics <intro.html>`_ ||
 `Quickstart <quickstart_tutorial.html>`_ || 
-`Tensors <tensor_tutorial.html>`_ || 
+`Tensors <tensorqs_tutorial.html>`_ || 
 `Datasets & DataLoaders <data_tutorial.html>`_ ||
 `Transforms <transforms_tutorial.html>`_ ||
 `Build Model <buildmodel_tutorial.html>`_ ||
diff --git a/beginner_source/basics/buildmodel_tutorial.py b/beginner_source/basics/buildmodel_tutorial.py
@@ -1,11 +1,11 @@
 """
 `Learn the Basics <intro.html>`_ ||
 `Quickstart <quickstart_tutorial.html>`_ || 
-`Tensors <tensor_tutorial.html>`_ ||
+`Tensors <tensorqs_tutorial.html>`_ ||
 `Datasets & DataLoaders <data_tutorial.html>`_ ||
 `Transforms <transforms_tutorial.html>`_ ||
 **Build Model** ||
-`Autograd <autograd_tutorial.html>`_ ||
+`Autograd <autogradqs_tutorial.html>`_ ||
 `Optimization <optimization_tutorial.html>`_ ||
 `Save & Load Model <saveloadrun_tutorial.html>`_
 
diff --git a/beginner_source/basics/data_tutorial.py b/beginner_source/basics/data_tutorial.py
@@ -1,11 +1,11 @@
 """
 `Learn the Basics <intro.html>`_ ||
 `Quickstart <quickstart_tutorial.html>`_ || 
-`Tensors <tensor_tutorial.html>`_ ||
+`Tensors <tensorqs_tutorial.html>`_ ||
 **Datasets & DataLoaders** ||
 `Transforms <transforms_tutorial.html>`_ ||
 `Build Model <buildmodel_tutorial.html>`_ ||
-`Autograd <autograd_tutorial.html>`_ ||
+`Autograd <autogradqs_tutorial.html>`_ ||
 `Optimization <optimization_tutorial.html>`_ ||
 `Save & Load Model <saveloadrun_tutorial.html>`_
 
diff --git a/beginner_source/basics/intro.py b/beginner_source/basics/intro.py
@@ -1,11 +1,11 @@
 """
 **Learn the Basics** ||
 `Quickstart <quickstart_tutorial.html>`_ || 
-`Tensors <tensor_tutorial.html>`_ || 
+`Tensors <tensorqs_tutorial.html>`_ || 
 `Datasets & DataLoaders <data_tutorial.html>`_ ||
 `Transforms <transforms_tutorial.html>`_ ||
 `Build Model <buildmodel_tutorial.html>`_ ||
-`Autograd <autograd_tutorial.html>`_ ||
+`Autograd <autogradqs_tutorial.html>`_ ||
 `Optimization <optimization_tutorial.html>`_ ||
 `Save & Load Model <saveloadrun_tutorial.html>`_
 
@@ -40,11 +40,11 @@
 
 How to Use this Guide
 ----------------- 
-If you're new to deep learning frameworks, head right into the first step of our guide: `Tensors <tensor_tutorial.html>`_.
-
-If you're familiar with other deep learning frameworks, check out the `Quickstart <quickstart_tutorial.html>`_ first
+If you're familiar with other deep learning frameworks, check out the `0. Quickstart <quickstart_tutorial.html>`_ first
 to quickly familiarize yourself with PyTorch's API.
 
+If you're new to deep learning frameworks, head right into the first section of our step-by-step guide: `1. Tensors <tensor_tutorial.html>`_.
+
 
 .. include:: /beginner_source/basics/qs_toc.txt
 
diff --git a/beginner_source/basics/optimization_tutorial.py b/beginner_source/basics/optimization_tutorial.py
@@ -1,11 +1,11 @@
 """
 `Learn the Basics <intro.html>`_ ||
 `Quickstart <quickstart_tutorial.html>`_ || 
-`Tensors <tensor_tutorial.html>`_ || 
+`Tensors <tensorqs_tutorial.html>`_ || 
 `Datasets & DataLoaders <data_tutorial.html>`_ ||
 `Transforms <transforms_tutorial.html>`_ ||
 `Build Model <buildmodel_tutorial.html>`_ ||
-`Autograd <autograd_tutorial.html>`_ ||
+`Autograd <autogradqs_tutorial.html>`_ ||
 **Optimization** ||
 `Save & Load Model <saveloadrun_tutorial.html>`_
 
diff --git a/beginner_source/basics/qs_toc.txt b/beginner_source/basics/qs_toc.txt
@@ -1,8 +1,8 @@
 | 0. `Quickstart <quickstart_tutorial.html>`_
-| 1. `Tensors <tensor_tutorial.html>`_
+| 1. `Tensors <tensorqs_tutorial.html>`_
 | 2. `Datasets and DataLoaders <data_tutorial.html>`_
 | 3. `Transforms <transforms_tutorial.html>`_
 | 4. `Build Model <buildmodel_tutorial.html>`_
-| 5. `Automatic Differentiation <autograd_tutorial.html>`_
+| 5. `Automatic Differentiation <autogradqs_tutorial.html>`_
 | 6. `Optimization Loop <optimization_tutorial.html>`_
 | 7. `Save, Load and Use Model <saveloadrun_tutorial.html>`_
diff --git a/beginner_source/basics/quickstart_tutorial.py b/beginner_source/basics/quickstart_tutorial.py
@@ -1,11 +1,11 @@
 """
 `Learn the Basics <intro.html>`_ ||
 **Quickstart** || 
-`Tensors <tensor_tutorial.html>`_ || 
+`Tensors <tensorqs_tutorial.html>`_ || 
 `Datasets & DataLoaders <data_tutorial.html>`_ ||
 `Transforms <transforms_tutorial.html>`_ ||
 `Build Model <buildmodel_tutorial.html>`_ ||
-`Autograd <autograd_tutorial.html>`_ ||
+`Autograd <autogradqs_tutorial.html>`_ ||
 `Optimization <optimization_tutorial.html>`_ ||
 `Save & Load Model <saveloadrun_tutorial.html>`_
 
diff --git a/beginner_source/basics/saveloadrun_tutorial.py b/beginner_source/basics/saveloadrun_tutorial.py
@@ -1,11 +1,11 @@
 """
 `Learn the Basics <intro.html>`_ ||
 `Quickstart <quickstart_tutorial.html>`_ || 
-`Tensors <tensor_tutorial.html>`_ || 
+`Tensors <tensorqs_tutorial.html>`_ || 
 `Datasets & DataLoaders <data_tutorial.html>`_ ||
 `Transforms <transforms_tutorial.html>`_ ||
 `Build Model <buildmodel_tutorial.html>`_ ||
-`Autograd <autograd_tutorial.html>`_ ||
+`Autograd <autogradqs_tutorial.html>`_ ||
 `Optimization <optimization_tutorial.html>`_ ||
 **Save & Load Model**
 
diff --git a/beginner_source/basics/tensorqs_tutorial.py b/beginner_source/basics/tensorqs_tutorial.py
@@ -5,7 +5,7 @@
 `Datasets & DataLoaders <data_tutorial.html>`_ ||
 `Transforms <transforms_tutorial.html>`_ ||
 `Build Model <buildmodel_tutorial.html>`_ ||
-`Autograd <autograd_tutorial.html>`_ ||
+`Autograd <autogradqs_tutorial.html>`_ ||
 `Optimization <optimization_tutorial.html>`_ ||
 `Save & Load Model <saveloadrun_tutorial.html>`_
 
@@ -17,7 +17,7 @@
 
 Tensors are similar to `NumPy’s <https://numpy.org/>`_ ndarrays, except that tensors can run on GPUs or other hardware accelerators. In fact, tensors and
 NumPy arrays can often share the same underlying memory, eliminating the need to copy data (see :ref:`bridge-to-np-label`). Tensors 
-are also optimized for automatic differentiation (we'll see more about that later in the `Autograd <autograd_tutorial.html>`__ 
+are also optimized for automatic differentiation (we'll see more about that later in the `Autograd <autogradqs_tutorial.html>`__ 
 section). If you’re familiar with ndarrays, you’ll be right at home with the Tensor API. If not, follow along!
 """
 
diff --git a/beginner_source/basics/transforms_tutorial.py b/beginner_source/basics/transforms_tutorial.py
@@ -1,11 +1,11 @@
 """
 `Learn the Basics <intro.html>`_ ||
 `Quickstart <quickstart_tutorial.html>`_ || 
-`Tensors <tensor_tutorial.html>`_ || 
+`Tensors <tensorqs_tutorial.html>`_ || 
 `Datasets & DataLoaders <data_tutorial.html>`_ ||
 **Transforms** ||
 `Build Model <buildmodel_tutorial.html>`_ ||
-`Autograd <autograd_tutorial.html>`_ ||
+`Autograd <autogradqs_tutorial.html>`_ ||
 `Optimization <optimization_tutorial.html>`_ ||
 `Save & Load Model <saveloadrun_tutorial.html>`_
 
diff --git a/index.rst b/index.rst
@@ -9,10 +9,10 @@ Welcome to PyTorch Tutorials
 .. Add callout items below this line
 
 .. customcalloutitem::
-   :description: The 60 min blitz is the most common starting point and provides a broad view on how to use PyTorch. It covers the basics all the way to constructing deep neural networks.
-   :header: New to PyTorch?
-   :button_link: beginner/deep_learning_60min_blitz.html
-   :button_text: Start 60-min blitz
+   :description: Familiarize yourself with PyTorch concepts and modules. Learn how to load data, build deep neural networks, train and save your models in this quickstart guide. 
+   :header: Learn the Basics
+   :button_link:  beginner/basics/intro.html
+   :button_text: Get started with PyTorch
 
 .. customcalloutitem::
    :description: Bite-size, ready-to-deploy PyTorch code examples.
@@ -51,10 +51,10 @@ Welcome to PyTorch Tutorials
 .. Learning PyTorch
 
 .. customcarditem::
-   :header: Deep Learning with PyTorch: A 60 Minute Blitz
-   :card_description: Understand PyTorch’s Tensor library and neural networks at a high level.
+   :header: Learn the Basics
+   :card_description: A step-by-step guide to building a complete ML workflow with PyTorch.
    :image: _static/img/thumbnails/cropped/60-min-blitz.png
-   :link: beginner/deep_learning_60min_blitz.html
+   :link: beginner/basics/intro.html
    :tags: Getting-Started
 
 .. customcarditem::
@@ -477,6 +477,7 @@ Additional Resources
    :includehidden:
    :caption: Learning PyTorch
 
+   beginner/basics/intro
    beginner/deep_learning_60min_blitz
    beginner/pytorch_with_examples
    beginner/nn_tutorial
