Merge branch 'master' into docs-typo-operatos

Author: holly1238

beginner_source/introyt/autogradyt_tutorial.py

@@ -269,7 +269,7 @@ def forward(self, x):
 ##########################################################################
 # One thing you might notice is that we never specify
 # ``requires_grad=True`` for the model’s layers. Within a subclass of
-# ``torch.nn.module``, it’s assumed that we want to track gradients on the
+# ``torch.nn.Module``, it’s assumed that we want to track gradients on the
 # layers’ weights for learning.
 # 
 # If we look at the layers of the model, we can examine the values of the

beginner_source/introyt/introyt1_tutorial.py

@@ -101,7 +101,7 @@
 # Here’s a small sample of the mathematical operations available:
 # 
 
-r = torch.rand(2, 2) - 0.5 * 2 # values between -1 and 1
+r = (torch.rand(2, 2) - 0.5) * 2 # values between -1 and 1
 print('A random matrix, r:')
 print(r)
 

beginner_source/introyt/modelsyt_tutorial.py

@@ -151,7 +151,7 @@ class LeNet(torch.nn.Module):
 
     def __init__(self):
         super(LeNet, self).__init__()
-        # 1 input image channel (black & white), 6 output channels, 3x3 square convolution
+        # 1 input image channel (black & white), 6 output channels, 5x5 square convolution
         # kernel
         self.conv1 = torch.nn.Conv2d(1, 6, 5)
         self.conv2 = torch.nn.Conv2d(6, 16, 3)