Adding pin_memory kwarg to zeros, ones, empty, ... tensor constructors (#18952)

Adding pin_memory kwarg to zeros, ones, empty, ... tensor constructors (#18952)

Summary:
Make it possible to construct a pinned memory tensor without creating a storage first and without calling pin_memory() function. It is also faster, as copy operation is unnecessary.

Supported functions:
```python
torch.rand_like(t, pin_memory=True)
torch.randn_like(t, pin_memory=True)
torch.empty_like(t, pin_memory=True)
torch.full_like(t, 4, pin_memory=True)
torch.zeros_like(t, pin_memory=True)
torch.ones_like(t, pin_memory=True)
torch.tensor([10,11], pin_memory=True)
torch.randn(3, 5, pin_memory=True)
torch.rand(3, pin_memory=True)
torch.zeros(3, pin_memory=True)
torch.randperm(3, pin_memory=True)
torch.empty(6, pin_memory=True)
torch.ones(6, pin_memory=True)
torch.eye(6, pin_memory=True)
torch.arange(3, 5, pin_memory=True)
```

Part of the bigger: `Remove Storage` plan.

Now compatible with both torch scripts:
 `  _1 = torch.zeros([10], dtype=6, layout=0, device=torch.device("cpu"), pin_memory=False)`
and
`  _1 = torch.zeros([10], dtype=6, layout=0, device=torch.device("cpu"))`

Same checked for all similar functions `rand_like`, `empty_like` and others

It is fixed version of #18455
Pull Request resolved: https://github.com/pytorch/pytorch/pull/18952

Differential Revision: D14801792

Pulled By: VitalyFedyunin

fbshipit-source-id: 8dbc61078ff7a637d0ecdb95d4e98f704d5450ba