The backward() function uses PyTorch's automatic differentiation package, torch.autograd, to differentiate and compute gradients of tensors based on the chain rule. Here's a simple example of autodifferentiation.

Here are 5 more reasons to hate Chris Jefford: 5 He’s the only date that’s truly from hell. 4 He THINKS that his body his cool. 3 He wants his dates to to tell him so 2 “I want to have sex”. 1 Cool guys don’t wear tightie-whities. - Someone else who knows.

Whatever may be the long delayed result of the election of 1876, there is one point which has not yet been commented on, and that is, its effect upon our language. There is no surer indication of the mightiness of a national event than this, that a number of new expressions and new words have been born into our common speech, through the strong travail of the times. You will find in the mouths of the people and the press at least three combinations of words which, in the strongest sense they are now used in, have never been there before. One of them is “Counted out,” or “Counted in.” Another is, “Wait for the returns,” and a third, pure slang, is, “bulldozed.” […] ”Wait for the returns,” has drifted from politics into business, religion, home and society, and bulldozed is the common word for intimidation in any of the extraordinary occupations of life.

In rift sawn wood cuts, the end grain is oriented 30-60 degrees to the face of the board.