[foreach][mta] Inplace `maximum` and `minimum` (#82523)
### Description
<!-- What did you change and why was it needed? -->
Implement `torch._foreach_maximum_` and `torch._foreach_minimum_` mainly for `_multi_tensor_adam` and `_multi_tensor_adamw` with `amsgrad=True` to correctly update their `max_exp_avg_sqs`.
### Issue
<!-- Link to Issue ticket or RFP -->
- https://github.com/pytorch/pytorch/issues/78807
- https://github.com/pytorch/pytorch/pull/81894
- https://github.com/pytorch/pytorch/pull/81348
- https://github.com/pytorch/pytorch/pull/81705
- https://github.com/pytorch/pytorch/issues/58833
- https://github.com/pytorch/pytorch/issues/68041
### Testing
<!-- How did you test your change? -->
Updated `test_foreach.py::TestForeach::_minmax_test` to compare the outputs of `_foreach_maximum_` (and `_foreach_minimum_`) against those of `[torch.maximum(a, b) for a, b in zip(tensors1, tensors2)]`
cc @ngimel @albanD @mikaylagawarecki
Pull Request resolved: https://github.com/pytorch/pytorch/pull/82523
Approved by: https://github.com/albanD
