Merge pull request #453 from brianjo/master

brianjo · web-flow · commit 5303996ee492 · 2019-03-28T09:53:48.000-07:00
Changed the name of former torchies nn_tutorial
diff --git a/beginner_source/colab.rst b/beginner_source/colab.rst
@@ -0,0 +1,70 @@
+Using Tutorial Data from Google Drive in Colab
+==============================================
+
+We've added a new feature to tutorials that allows users to open the
+notebook associated with a tutorial in Google Colab. You may need to
+copy data to your Google drive account to get the more complex tutorials
+to work.
+
+In this example, we'll demonstrate how to change the notebook in Colab
+to work with the Chatbot Tutorial. To do this, you'll first need to be
+logged into Google Drive. (For a full description of how to access data
+in Colab, you can view their example notebook
+`here <https://colab.research.google.com/notebooks/io.ipynb#scrollTo=XDg9OBaYqRMd>`__.)
+
+To get started open the `Chatbot
+Tutorial <https://pytorch.org/tutorials/beginner/chatbot_tutorial.html>`__
+in your browser.
+
+At the top of the page click **Run in Google Colab**.
+
+The file will open in Colab.
+
+If you choose, **Runtime** then **Run All**, you'll get an error as the
+file can't be found.
+
+To fix this, we'll copy the required file into our Google Drive account.
+
+1. Log into Google Drive.
+2. In Google Drive, make a folder named **data**, with a subfolder named
+   **cornell**.
+3. Visit the Cornell Movie Dialogs Corpus and download the ZIP file.
+4. Unzip the file on your local machine.
+5. Copy the file **movie\_lines.txt** to **data/cornell** folder you
+   created in Google Drive.
+
+Now we'll need to edit the file in\_ \_Colab to point to the file on
+Google Drive.
+
+In Colab, add the following to top of the code section over the line
+that begins *corpus\_name*:
+
+::
+
+    from google.colab import drive
+    drive.mount('/content/gdrive')
+
+Change the two lines that follow:
+
+1. Change the **corpus\_name** value to **"cornell"**.
+2. Change the line that begins with **corpus** to this:
+
+::
+
+    corpus = os.path.join("/content/gdrive/My Drive/data", corpus_name)
+
+We're now pointing to the file we uploaded to Drive.
+
+Now when you click on the **Run cell** button for the code section,
+you'll be prompted to authorize Google Drive and you'll get an
+authorization code. Paste the code into the prompt in Colab and you
+should be set.
+
+Rerun the notebook from **Runtime** / **Run All** menu command and
+you'll see it process. (Note that this tutorial takes a long time to
+run.)
+
+Hopefully this example will give you a good starting point for running
+some of the more complex tutorials in Colab. As we evolve our use of
+Colab on the PyTorch tutorials site, we'll look at ways to make this
+easier for users.
diff --git a/beginner_source/former_torchies/README.txt b/beginner_source/former_torchies/README.txt
@@ -9,9 +9,9 @@
 	Autograd
 	https://pytorch.org/tutorials/beginner/former_torchies/autograd_tutorial_old.html
 
-3. nn_tutorial.py
+3. nnft_tutorial.py
 	nn package
-	https://pytorch.org/tutorials/beginner/former_torchies/nn_tutorial.html
+	https://pytorch.org/tutorials/beginner/former_torchies/nnft_tutorial.html
 
 4. parallelism_tutorial.py
 	Multi-GPU examples
diff --git a/beginner_source/former_torchies/nnft_tutorial.py b/beginner_source/former_torchies/nnft_tutorial.py
diff --git a/beginner_source/former_torchies_tutorial.rst b/beginner_source/former_torchies_tutorial.rst
@@ -19,15 +19,15 @@ In this tutorial, you will learn the following:
 
    /beginner/former_torchies/tensor_tutorial_old
    /beginner/former_torchies/autograd_tutorial_old
-   /beginner/former_torchies/nn_tutorial
+   /beginner/former_torchies/nnft_tutorial
    /beginner/former_torchies/parallelism_tutorial
 
 .. galleryitem:: /beginner/former_torchies/tensor_tutorial_old.py
     :figure: /_static/img/tensor_illustration_flat.png
 
 .. galleryitem:: /beginner/former_torchies/autograd_tutorial_old.py
 
-.. galleryitem:: /beginner/former_torchies/nn_tutorial.py
+.. galleryitem:: /beginner/former_torchies/nnft_tutorial.py
     :figure: /_static/img/torch-nn-vs-pytorch-nn.png
 
 .. galleryitem:: /beginner/former_torchies/parallelism_tutorial.py
diff --git a/index.rst b/index.rst
@@ -7,6 +7,8 @@ starting point, and provides a broad view into how to use PyTorch from the basic
 
 Some considerations:
 
+* We’ve added a new feature to tutorials that allows users to open the notebook associated with a tutorial in Google Colab. 
+  Visit `this page </beginner/colab.html>`_ for more information.
 * If you would like to do the tutorials interactively via IPython / Jupyter,
   each tutorial has a download link for a Jupyter Notebook and Python source code.
 * Additional high-quality examples are available, including image classification,
