Merge branch 'master' into fix_memory_format2

brianjo · web-flow · commit b2b2f3f82f68 · 2020-08-10T10:51:25.000-07:00
diff --git a/index.rst b/index.rst
@@ -365,6 +365,7 @@ Welcome to PyTorch Tutorials
    :card_description: Walk through a through a simple example of how to combine distributed data parallelism with distributed model parallelism.
    :image: _static/img/thumbnails/cropped/Combining-Distributed-DataParallel-with-Distributed-RPC-Framework.png
    :link: advanced/rpc_ddp_tutorial.html
+   :tags: Parallel-and-Distributed-Training
 
 .. End of tutorial card section
 
diff --git a/recipes_source/recipes/defining_a_neural_network.py b/recipes_source/recipes/defining_a_neural_network.py
@@ -59,7 +59,7 @@
 # 
 # Our network will recognize images. We will use a process built into
 # PyTorch called convolution. Convolution adds each element of an image to
-# its local neighbors, weighted by a kernel, or a small martrix, that
+# its local neighbors, weighted by a kernel, or a small matrix, that
 # helps us extract certain features (like edge detection, sharpness,
 # blurriness, etc.) from the input image.
 # 

Original file line number	Diff line number	Diff line change
`@@ -59,7 +59,7 @@`
`59`	`59`	`#`
`60`	`60`	`# Our network will recognize images. We will use a process built into`
`61`	`61`	`# PyTorch called convolution. Convolution adds each element of an image to`
`62`		`-# its local neighbors, weighted by a kernel, or a small martrix, that`
	`62`	`+# its local neighbors, weighted by a kernel, or a small matrix, that`
`63`	`63`	`# helps us extract certain features (like edge detection, sharpness,`
`64`	`64`	`# blurriness, etc.) from the input image.`
`65`	`65`	`#`