Fixed headings in saving_loading_models tutorial and wording/grammatical nits in chatbot_tutorial (#343)

MatthewInkawhich · JoelMarcey · commit d6936ff07253 · 2018-10-23T09:54:48.000-07:00
diff --git a/beginner_source/chatbot_tutorial.py b/beginner_source/chatbot_tutorial.py
@@ -37,25 +37,25 @@
 # .. code:: python
 #
 #   > hello?
-#   bot: hello .
+#   Bot: hello .
 #   > where am I?
-#   bot: you re in a hospital .
+#   Bot: you re in a hospital .
 #   > who are you?
-#   bot: i m a lawyer .
+#   Bot: i m a lawyer .
 #   > how are you doing?
-#   bot: i m fine .
+#   Bot: i m fine .
 #   > are you my friend?
-#   bot: no .
+#   Bot: no .
 #   > you're under arrest
-#   bot: i m trying to help you !
+#   Bot: i m trying to help you !
 #   > i'm just kidding
-#   bot: i m sorry .
+#   Bot: i m sorry .
 #   > where are you from?
-#   bot: san francisco .
+#   Bot: san francisco .
 #   > it's time for me to leave
-#   bot: i know .
+#   Bot: i know .
 #   > goodbye
-#   bot: goodbye .
+#   Bot: goodbye .
 #
 # **Tutorial Highlights**
 #
@@ -159,9 +159,8 @@ def printLines(file, n=10):
 # Create formatted data file
 # ~~~~~~~~~~~~~~~~~~~~~~~~~~
 #
-# Now it is time to use the functions that we defined above to create an
-# appropriately formatted data file. Each line of this new file will
-# contain a tab-separated *query sentence* and a *response sentence* pair.
+# For convenience, we'll create a nicely formatted data file in which each line
+# contains a tab-separated *query sentence* and a *response sentence* pair.
 #
 # The following functions facilitate the parsing of the raw
 # *movie_lines.txt* data file.
@@ -459,8 +458,8 @@ def trimRareWords(voc, pairs, MIN_COUNT):
 # Prepare Data for Models
 # -----------------------
 #
-# Although we have spent a great effort preparing and massaging our data
-# into a nice vocabulary object and list of sentence pairs, our models
+# Although we have put a great deal of effort into preparing and massaging our
+# data into a nice vocabulary object and list of sentence pairs, our models
 # will ultimately expect numerical torch tensors as inputs. One way to
 # prepare the processed data for the models can be found in the `seq2seq
 # translation
diff --git a/beginner_source/saving_loading_models.py b/beginner_source/saving_loading_models.py
@@ -29,6 +29,8 @@
    *state_dict*. For more information on *state_dict*, see `What is a
    state_dict? <#what-is-a-state-dict>`__.
 
+
+
 **Contents:**
 
 -  `What is a state_dict? <#what-is-a-state-dict>`__
@@ -429,7 +431,7 @@
 # ``my_tensor = my_tensor.to(torch.device('cuda'))``.
 #
 # Save on CPU, Load on GPU
-# ~~~~~~~~~~~~~~~~~~~~~~~~
+# ^^^^^^^^^^^^^^^^^^^^^^^^
 #
 # **Save:**
 #
@@ -459,7 +461,7 @@
 # overwrite tensors: ``my_tensor = my_tensor.to(torch.device('cuda'))``.
 #
 # Saving ``torch.nn.DataParallel`` Models
-# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+# ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
 #
 # **Save:**
 #

Original file line number	Diff line number	Diff line change
`@@ -29,6 +29,8 @@`
`29`	`29`	state_dict. For more information on state_dict, see `What is a
`30`	`30`	state_dict? <#what-is-a-state-dict>`__.
`31`	`31`
	`32`	`+`
	`33`	`+`
`32`	`34`	`Contents:`
`33`	`35`
`34`	`36`	- `What is a state_dict? <#what-is-a-state-dict>`__
`@@ -429,7 +431,7 @@`
`429`	`431`	# ``my_tensor = my_tensor.to(torch.device('cuda'))``.
`430`	`432`	`#`
`431`	`433`	`# Save on CPU, Load on GPU`
`432`		`-# ~~~~~~~~~~~~~~~~~~~~~~~~`
	`434`	`+# ^^^^^^^^^^^^^^^^^^^^^^^^`
`433`	`435`	`#`
`434`	`436`	`# Save:`
`435`	`437`	`#`
`@@ -459,7 +461,7 @@`
`459`	`461`	# overwrite tensors: ``my_tensor = my_tensor.to(torch.device('cuda'))``.
`460`	`462`	`#`
`461`	`463`	# Saving ``torch.nn.DataParallel`` Models
`462`		`-# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~`
	`464`	`+# ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^`
`463`	`465`	`#`
`464`	`466`	`# Save:`
`465`	`467`	`#`