…ontiguous input

In this case, broadcasting is not possible if I understand correctly.

NOTE TO REVIEWERS: I deleted a failing test because I think it's testing not-actually-existent-in-PyTorch functionality. Please let me know if I've made a mistake. I tried to exercise the behavior that this test implied existed like so:
```
>>> t = torch.tensor([1, 2, 3])
>>> t2 = torch.tensor(4)
>>> torch.abs(t2, out=t)
<stdin>:1: UserWarning: An output with one or more elements was resized since it had shape [3], which does not match the required output shape []. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /Users/runner/work/pytorch/pytorch/pytorch/aten/src/ATen/native/Resize.cpp:38.)
tensor(4)
```

I think that if the test was correct, the result would have been torch.tensor([1, 2, 3]) with no message. Also, none of our operator tests seem to be failing. Have I missed anything?


ghstack-source-id: ad2d09d
ghstack-comment-id: 3010027375
Pull-Request-resolved: #12023

…ontiguous input

In this case, broadcasting is not possible if I understand correctly.

NOTE TO REVIEWERS: I deleted a failing test because I think it's testing not-actually-existent-in-PyTorch functionality. Please let me know if I've made a mistake. I tried to exercise the behavior that this test implied existed like so:
```
>>> t = torch.tensor([1, 2, 3])
>>> t2 = torch.tensor(4)
>>> torch.abs(t2, out=t)
<stdin>:1: UserWarning: An output with one or more elements was resized since it had shape [3], which does not match the required output shape []. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /Users/runner/work/pytorch/pytorch/pytorch/aten/src/ATen/native/Resize.cpp:38.)
tensor(4)
```

I think that if the test was correct, the result would have been torch.tensor([1, 2, 3]) with no message. Also, none of our operator tests seem to be failing. Have I missed anything?


ghstack-source-id: 37448a6
ghstack-comment-id: 3010027375
Pull-Request-resolved: #12023

…ontiguous input (pytorch#12023)

In this case, broadcasting is not possible if I understand correctly.

NOTE TO REVIEWERS: I deleted a failing test because I think it's testing
not-actually-existent-in-PyTorch functionality. Please let me know if
I've made a mistake. I tried to exercise the behavior that this test
implied existed like so:
```
>>> t = torch.tensor([1, 2, 3])
>>> t2 = torch.tensor(4)
>>> torch.abs(t2, out=t)
<stdin>:1: UserWarning: An output with one or more elements was resized since it had shape [3], which does not match the required output shape []. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /Users/runner/work/pytorch/pytorch/pytorch/aten/src/ATen/native/Resize.cpp:38.)
tensor(4)
```

I think that if the test was correct, the result would have been
torch.tensor([1, 2, 3]) with no message. Also, none of our operator
tests seem to be failing. Have I missed anything?

…ontiguous input (pytorch#12023)

In this case, broadcasting is not possible if I understand correctly.

NOTE TO REVIEWERS: I deleted a failing test because I think it's testing
not-actually-existent-in-PyTorch functionality. Please let me know if
I've made a mistake. I tried to exercise the behavior that this test
implied existed like so:
```
>>> t = torch.tensor([1, 2, 3])
>>> t2 = torch.tensor(4)
>>> torch.abs(t2, out=t)
<stdin>:1: UserWarning: An output with one or more elements was resized since it had shape [3], which does not match the required output shape []. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (Triggered internally at /Users/runner/work/pytorch/pytorch/pytorch/aten/src/ATen/native/Resize.cpp:38.)
tensor(4)
```

I think that if the test was correct, the result would have been
torch.tensor([1, 2, 3]) with no message. Also, none of our operator
tests seem to be failing. Have I missed anything?