[dynamo bug burndown] update tensor creation to support sequences of tensors (#120872)
Fixes https://github.com/pytorch/pytorch/issues/120645
`_internal_new_from_data` calls `_recursive_build`, but we run into an error such as the cases.
```
Failed running call_function <function tensor at 0xDEADBEEF>:
scalar_tensor(): argument (position 1) must be Number, not FakeTensor
# e.g. cases
1. [FakeTensor(..., size=(20, 1), dtype=torch.float64), ..., FakeTensor(..., size=(20, 1), dtype=torch.float64)]
- Here, we call _recursive_build(sizes=[4] ...) which hits the base case `if dim == ndim:` in the 2nd level of recursion.
- So, we try to return `scalar_tensor(FakeTensor)`
2. [[(FakeTensor(..., size=(1,), dtype=torch.int64), FakeTensor(..., size=(), dtype=torch.int64)]]
# site note: when can size = ()? Probably from scalar_tensor.
>>> torch.scalar_tensor(1).shape
torch.Size([])
```
Pull Request resolved: https://github.com/pytorch/pytorch/pull/120872
Approved by: https://github.com/ezyang
