Migrate `sinh` and `sinh_` from the TH to Aten (CUDA) (#28527)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/28527
Benchmark (Debian Buster, CUDA 9.2, Quadro P400, turbo off, Release, gcc 7.4):
```python
import timeit
for n, t in [(10_000, 20000),
(100_000, 20000)]:
for dtype in ('torch.half', 'torch.float', 'torch.double'):
print(f'torch.sinh(a) a.numel() == {n} for {t} times {dtype}')
print(timeit.timeit(f'torch.sinh(a); torch.cuda.synchronize()', setup=f'import torch; a=torch.arange({n}, dtype={dtype}, device="cuda")', number=t))
```
Before:
```
torch.sinh(a) a.numel() == 10000 for 20000 times torch.half
0.3807680979998622
torch.sinh(a) a.numel() == 10000 for 20000 times torch.float
0.37430476099962107
torch.sinh(a) a.numel() == 10000 for 20000 times torch.double
1.0580407639999976
torch.sinh(a) a.numel() == 100000 for 20000 times torch.half
0.7996397469996737
torch.sinh(a) a.numel() == 100000 for 20000 times torch.float
1.010930432999885
torch.sinh(a) a.numel() == 100000 for 20000 times torch.double
7.310400856999877
```
After:
```
torch.sinh(a) a.numel() == 10000 for 20000 times torch.half
0.3720399889998589
torch.sinh(a) a.numel() == 10000 for 20000 times torch.float
0.3694016069994177
torch.sinh(a) a.numel() == 10000 for 20000 times torch.double
1.0551542660004998
torch.sinh(a) a.numel() == 100000 for 20000 times torch.half
0.7431191599998783
torch.sinh(a) a.numel() == 100000 for 20000 times torch.float
0.9953043630002867
torch.sinh(a) a.numel() == 100000 for 20000 times torch.double
7.3146168890007175
```
Close #24628
Test Plan: Imported from OSS
Differential Revision: D18124732
Pulled By: VitalyFedyunin
fbshipit-source-id: 054b0c0884ac12de2dd1a92c5de916aaf047f9e9
