Adding `broadcast_in_dim` and non-contiguous Tensor support NVFuser Python Frontend
Adding new features.
1. `broadcast_in_dim` support and example.
2. Adding non-contiguous `TensorView` support and example.
`broadcast_in_dim` example:
```
with FusionDefinition(fusion) as fd :
t0 = fd.define_tensor(1)
t1 = fd.define_tensor(3)
fd.add_input(t0)
fd.add_input(t1)
t0_b = fd.Ops.broadcast_in_dim(t0, [2, 3, 4], [1])
t2 = fd.Ops.add(t0_b, t1)
fd.add_output(t2)
```
Non-contiguous tensor support example:
```
with FusionDefinition(fusion) as fd :
t0 = fd.define_tensor(3, [False, False, False])
t1 = fd.define_tensor(3, [True, True, True])
fd.add_input(t0)
fd.add_input(t1)
print("Input1 Contiguity:", t0)
print("Input2 Contiguity:", t1)
t2 = fd.Ops.add(t0, t1)
print("Output Contiguity:", t2, "\n")
fd.add_output(t2)
```
Pull Request resolved: https://github.com/pytorch/pytorch/pull/76484
Approved by: https://github.com/mruberry
