That would bundle PTXAS into a `bin` folder

When compiling for Triton, define `TRITION_PTXAS_PATH` if `ptxas` is bundled with PyTorch Needed to make PyTorch compiled against CUDA-11.8 usable with 11.8 driver, as Triton is bundled with latest (CUDA-12.3 at time of PyTorch-2.2 release) ptxas

Needs pytorch/builder@5c814e2 to produce valid binary builds

Test plan:
- Create dummy ptxas in `torch/bin` folder and observe `torch.compile` fail with backtrace in Triton module.
- Run following script (to be added to binary tests ) against CUDA-11.8 wheel:
```python
import torch
import triton

@torch.compile
def foo(x: torch.Tensor) -> torch.Tensor:
  return torch.sin(x) + torch.cos(x)

x=torch.rand(3, 3, device="cuda")
print(foo(x))
# And check that CUDA versions match
cuda_version = torch.version.cuda
ptxas_version = triton.backends.nvidia.compiler.get_ptxas_version().decode("ascii")
assert cuda_version in ptxas_version, f"CUDA version mismatch: torch build with {cuda_version}, but Triton uses ptxs {ptxas_version}"
```

Fixes pytorch#119054

Pull Request resolved: pytorch#119750
Approved by: https://github.com/jansel, https://github.com/atalman