Automated tutorials push

Author: pytorchbot

_downloads/070179efc13bd796c5dd4af7bf52d5b9/intro.ipynb

@@ -29,9 +29,9 @@
     "Learn the Basics\n",
     "================\n",
     "\n",
-    "Authors: [Suraj Subramanian](https://github.com/suraj813), [Seth\n",
+    "Authors: [Suraj Subramanian](https://github.com/subramen), [Seth\n",
     "Juarez](https://github.com/sethjuarez/), [Cassie\n",
-    "Breviu](https://github.com/cassieview/), [Dmitry\n",
+    "Breviu](https://github.com/cassiebreviu/), [Dmitry\n",
     "Soshnikov](https://soshnikov.com/), [Ari\n",
     "Bornstein](https://github.com/aribornstein/)\n",
     "\n",
@@ -73,7 +73,10 @@
     "If you\\'re new to deep learning frameworks, head right into the first\n",
     "section of our step-by-step guide: [1. Tensors](tensor_tutorial.html).\n",
     "\n",
-    "::: {.toctree hidden=\"\"}\n",
+    "::: {.toctree maxdepth=\"2\" hidden=\"\"}\n",
+    "quickstart\\_tutorial tensorqs\\_tutorial data\\_tutorial\n",
+    "transforms\\_tutorial buildmodel\\_tutorial autogradqs\\_tutorial\n",
+    "optimization\\_tutorial saveloadrun\\_tutorial\n",
     ":::\n"
    ]
   }

_downloads/3195443a0ced3cabc0ad643537bdb5cd/introyt1_tutorial.ipynb

@@ -34,7 +34,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "b35802c7",
+   "id": "8c7710d3",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -50,7 +50,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "6574b344",
+   "id": "f6d82452",
    "metadata": {},
    "source": [
     "\n",

_downloads/4355e2cef7d17548f1e25f97a62828c4/template_tutorial.ipynb

@@ -31,7 +31,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "6385e8ff",
+   "id": "7071e5ae",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -47,7 +47,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "2e369e25",
+   "id": "881a581d",
    "metadata": {},
    "source": [
     "\n",

_downloads/4c8d6db87ab5b363f09703de2705d99d/introyt_index.ipynb

@@ -0,0 +1,83 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "# For tips on running notebooks in Google Colab, see\n",
+    "# https://pytorch.org/tutorials/beginner/colab\n",
+    "%matplotlib inline"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "[Introduction](introyt/introyt1_tutorial.html) \\|\\|\n",
+    "[Tensors](introyt/tensors_deeper_tutorial.html) \\|\\|\n",
+    "[Autograd](introyt/autogradyt_tutorial.html) \\|\\| [Building\n",
+    "Models](introyt/modelsyt_tutorial.html) \\|\\| [TensorBoard\n",
+    "Support](introyt/tensorboardyt_tutorial.html) \\|\\| [Training\n",
+    "Models](introyt/trainingyt.html) \\|\\| [Model\n",
+    "Understanding](introyt/captumyt.html)\n",
+    "\n",
+    "Introduction to PyTorch - YouTube Series\n",
+    "========================================\n",
+    "\n",
+    "Authors: [Brad Heintz](https://github.com/fbbradheintz)\n",
+    "\n",
+    "This tutorial follows along with the [PyTorch Beginner\n",
+    "Series](https://www.youtube.com/playlist?list=PL_lsbAsL_o2CTlGHgMxNrKhzP97BaG9ZN)\n",
+    "on YouTube.\n",
+    "\n",
+    "[This tutorial assumes a basic familiarity with Python and Deep Learning\n",
+    "concepts.]{.title-ref}\n",
+    "\n",
+    "Running the Tutorial Code\n",
+    "-------------------------\n",
+    "\n",
+    "You can run this tutorial in a couple of ways:\n",
+    "\n",
+    "-   **On the cloud**: This is the easiest way to get started! Each\n",
+    "    section has a Colab link at the top, which opens a notebook with the\n",
+    "    code in a fully-hosted environment. Pro tip: Use Colab with a GPU\n",
+    "    runtime to speed up operations *Runtime \\> Change runtime type \\>\n",
+    "    GPU*\n",
+    "-   **Locally**: This option requires you to set up PyTorch and\n",
+    "    torchvision on your local machine ([installation\n",
+    "    instructions](https://pytorch.org/get-started/locally/)). Download\n",
+    "    the notebook or copy the code into your favorite IDE.\n",
+    "\n",
+    "::: {.toctree maxdepth=\"2\" hidden=\"\"}\n",
+    "introyt1\\_tutorial tensors\\_deeper\\_tutorial autogradyt\\_tutorial\n",
+    "modelsyt\\_tutorial tensorboardyt\\_tutorial trainingyt captumyt\n",
+    ":::\n"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.15"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 0
+}

_downloads/63a0f0fc7b3ffb15d3a5ac8db3d521ee/tensors_deeper_tutorial.ipynb

@@ -34,7 +34,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "680d4f91",
+   "id": "3a356eba",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -50,7 +50,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "dcb818ca",
+   "id": "97930b7c",
    "metadata": {},
    "source": [
     "\n",

_downloads/770632dd3941d2a51b831c52ded57aa2/trainingyt.ipynb

@@ -35,7 +35,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "b2bcf956",
+   "id": "79eca301",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -51,7 +51,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "538fc05c",
+   "id": "8753b38c",
    "metadata": {},
    "source": [
     "\n",

_downloads/bb1c91ab2ae6e5a5bd75631c0485d55f/intro.py

@@ -13,9 +13,9 @@
 ===================
 
 Authors:
-`Suraj Subramanian <https://github.com/suraj813>`_,
+`Suraj Subramanian <https://github.com/subramen>`_,
 `Seth Juarez <https://github.com/sethjuarez/>`_,
-`Cassie Breviu <https://github.com/cassieview/>`_,
+`Cassie Breviu <https://github.com/cassiebreviu/>`_,
 `Dmitry Soshnikov <https://soshnikov.com/>`_,
 `Ari Bornstein <https://github.com/aribornstein/>`_
 
@@ -49,6 +49,16 @@
 .. include:: /beginner_source/basics/qs_toc.txt
 
 .. toctree::
+   :maxdepth: 2
    :hidden:
 
+   quickstart_tutorial
+   tensorqs_tutorial
+   data_tutorial
+   transforms_tutorial
+   buildmodel_tutorial
+   autogradqs_tutorial
+   optimization_tutorial
+   saveloadrun_tutorial
+
 """

_downloads/c28f42852d456daf9af72da6c6909556/captumyt.ipynb

@@ -37,7 +37,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "21102232",
+   "id": "d110a097",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -53,7 +53,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "9b08e13d",
+   "id": "cf4fa34a",
    "metadata": {},
    "source": [
     "\n",

_downloads/e2e556f6b4693c2cef716dd7f40caaf6/tensorboardyt_tutorial.ipynb

@@ -35,7 +35,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "c6466932",
+   "id": "727826dd",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -51,7 +51,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "150063b1",
+   "id": "8c5f350e",
    "metadata": {},
    "source": [
     "\n",

_downloads/ed9d4f94afb79f7dada6742a06c486a5/autogradyt_tutorial.ipynb

@@ -34,7 +34,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "2ab38ba2",
+   "id": "faf31b47",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -50,7 +50,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "912c367b",
+   "id": "faa02e20",
    "metadata": {},
    "source": [
     "\n",