Merge branch 'master' into forward-ad-tutorial

Author: soulitzer

advanced_source/dispatcher.rst

@@ -109,7 +109,7 @@ speaking, the structure of your registrations will look like this:
 For operators that do not need autograd
 ---------------------------------------
 
-Note: This section only applies to versions of PyTorch ``>= 3.10``.
+Note: This section only applies to versions of PyTorch ``>= 1.10``.
 
 In the next section, we will discuss how to add autograd support to an operator.
 But for the ops that do not need autograd support, the following kernel should be

beginner_source/basics/buildmodel_tutorial.py

@@ -38,7 +38,7 @@
 # continue to use the CPU.
 
 device = 'cuda' if torch.cuda.is_available() else 'cpu'
-print('Using {} device'.format(device))
+print(f'Using {device} device')
 
 ##############################################
 # Define the Class

beginner_source/basics/data_tutorial.py

@@ -160,7 +160,7 @@ def __getitem__(self, idx):
 
 
 def __init__(self, annotations_file, img_dir, transform=None, target_transform=None):
-    self.img_labels = pd.read_csv(annotations_file)
+    self.img_labels = pd.read_csv(annotations_file, names=['file_name', 'label'])
     self.img_dir = img_dir
     self.transform = transform
     self.target_transform = target_transform

beginner_source/basics/quickstart_tutorial.py

@@ -89,7 +89,7 @@
 
 # Get cpu or gpu device for training.
 device = "cuda" if torch.cuda.is_available() else "cpu"
-print("Using {} device".format(device))
+print(f"Using {device} device")
 
 # Define model
 class NeuralNetwork(nn.Module):

beginner_source/examples_autograd/polynomial_custom_function.py

@@ -1,5 +1,5 @@
 # -*- coding: utf-8 -*-
-r"""
+"""
 PyTorch: Defining New autograd Functions
 ----------------------------------------
 

beginner_source/introyt.rst

@@ -0,0 +1,29 @@
+`Introduction <introyt/introyt1_tutorial.html>`_ ||
+`Tensors <introyt/tensors_deeper_tutorial.html>`_ ||
+`Autograd <introyt/autogradyt_tutorial.html>`_ ||
+`Building Models <introyt/modelsyt_tutorial.html>`_ ||
+`TensorBoard Support <introyt/tensorboardyt_tutorial.html>`_ ||
+`Training Models <introyt/trainingyt.html>`_ ||
+`Model Understanding <introyt/captumyt.html>`_
+
+Introduction to PyTorch - YouTube Series
+========================================
+
+Authors: 
+`Brad Heintz <https://github.com/fbbradheintz>`_
+
+This tutorial follows along with the `PyTorch Beginner Series <https://www.youtube.com/playlist?list=PL_lsbAsL_o2CTlGHgMxNrKhzP97BaG9ZN>`_ on youtube.
+
+`This tutorial assumes a basic familiarity with Python and Deep Learning concepts.`
+
+Running the Tutorial Code
+-------------------------
+You can run this tutorial in a couple of ways:
+
+- **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*
+- **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.
+
+.. include:: /beginner_source/introyt/tocyt.txt
+
+.. toctree::
+   :hidden:

beginner_source/introyt/README.txt

@@ -0,0 +1,34 @@
+Introduction to PyTorch on YouTube
+----------------------------------
+
+1. introyt.rst
+    Introduction to PyTorch - Youtube Series
+    https://pytorch.org/tutorials/beginner/introyt/introyt.html
+
+2. introyt1_tutorial.py
+    Introduction to PyTorch
+    https://pytorch.org/tutorials/beginner/introyt/introyt1_tutorial.html
+
+3. tensors_deeper_tutorial.py
+    PyTorch Tensors
+    https://pytorch.org/tutorials/beginner/introyt/tensors_deeper_tutorial.html
+
+4. autogradyt_tutorial.py
+    The Fundamentals of Autograd
+    https://pytorch.org/tutorials/beginner/introyt/autogradyt_tutorial.html
+
+5. modelsyt_tutorial.py
+    Building Models with PyTorch
+    https://pytorch.org/tutorials/beginner/introyt/modelsyt_tutorial.html
+
+6. tensorboardyt_tutorial.py
+    PyTorch TensorBoard Support
+    https://pytorch.org/tutorials/beginner/introyt/tensorboardyt_tutorial.html
+
+7. trainingyt_tutorial.py
+    Training with PyTorch
+    https://pytorch.org/tutorials/beginner/introyt/trainingyt_tutorial.html
+    
+8. captumyt_tutorial.py
+    Model Understanding with Captum
+    https://pytorch.org/tutorials/beginner/introyt/captumyt_tutorial.html