Respectively ordering (#1590)

trigaten · holly1238 · web-flow · commit 24ad87fdb9e5 · 2021-06-24T07:53:33.000-07:00
Matrices and vectors are special cases of # torch.Tensors, where their dimension is 1 and 2 respectively. &lt;-- the 2 and 1 should be switched.

Co-authored-by: Holly Sweeney &lt;77758406+holly1238@users.noreply.github.com&gt;
diff --git a/beginner_source/nlp/pytorch_tutorial.py b/beginner_source/nlp/pytorch_tutorial.py
@@ -52,7 +52,7 @@
 # A note on terminology:
 # when I say "tensor" in this tutorial, it refers
 # to any torch.Tensor object. Matrices and vectors are special cases of
-# torch.Tensors, where their dimension is 1 and 2 respectively. When I am
+# torch.Tensors, where their dimension is 2 and 1 respectively. When I am
 # talking about 3D tensors, I will explicitly use the term "3D tensor".
 #
 

Original file line number	Diff line number	Diff line change
`@@ -52,7 +52,7 @@`
`52`	`52`	`# A note on terminology:`
`53`	`53`	`# when I say "tensor" in this tutorial, it refers`
`54`	`54`	`# to any torch.Tensor object. Matrices and vectors are special cases of`
`55`		`-# torch.Tensors, where their dimension is 1 and 2 respectively. When I am`
	`55`	`+# torch.Tensors, where their dimension is 2 and 1 respectively. When I am`
`56`	`56`	`# talking about 3D tensors, I will explicitly use the term "3D tensor".`
`57`	`57`	`#`
`58`	`58`