update.

Author: ParagEkbote

beginner_source/basics/autogradqs_tutorial.py

@@ -32,7 +32,7 @@
 y = torch.zeros(3)  # expected output
 w = torch.randn(5, 3, requires_grad=True)
 b = torch.randn(3, requires_grad=True)
-z = torch.matmul(x, w) + b
+z = torch.matmul(x, w)+b
 loss = torch.nn.functional.binary_cross_entropy_with_logits(z, y)