Fix: Correct input type for pyhpc_equation_of_state in Torch_XLA2

[ayshiff]

Converts the example input list to a tuple before passing it to torch.func.functional_call to resolve the argument type mismatch.

Tested with: python models/pyhpc_equation_of_state.py

Fixes pytorch/xla#8164

[ayshiff]

JAX_PLATFORMS=cpu python models/pyhpc_equation_of_state.py

[XLATensor2(..., device='meta', size=(204, 204, 26), dtype=torch.float64), XLATensor2(..., device='meta', size=(204, 204, 26), dtype=torch.float64), XLATensor2(..., device='meta', size=(1, 1, 26), dtype=torch.float64)]
Eager mode time 0.7211941659988952
Eager max abs vs expected tensor(0.0720, dtype=torch.float64)
Jitted mode time 0.24614562499846215
Jitted max abs vs expected tensor(0.0720, dtype=torch.float64)

[ayshiff]

cc @ManfeiBai

[ManfeiBai]

Thanks, LGTM