onnxruntime

Update DORT to follow PyTorch changes (#16394)

Fix #16355. The root cause change in PyTorch is
[#103302](https://github.com/pytorch/pytorch/pull/103302), which seem
blocking calling make_fx inside a dynamo backend.

Changes:
1. Move decomposition to `register_backend.py`, so we don't have to call
`make_fx` inside DORT, which triggers a bunch of new exceptions.
2. Remove shape inference based on FakeTensorProp since the FX graph
received from dynamo contains all shapes now.
3. Fix a macro bug so that DORT can build without CUDA.

Before (3),
```
#if defined(USE_CUDA) || defined(USE_ROCM)
  virtual PhiloxGenerator& PhiloxGenerator__Default() = 0;
#ifdef ENABLE_TRAINING_TORCH_INTEROP
...
#endif
#endif
```
After (3),
```
#if defined(USE_CUDA) || defined(USE_ROCM)
  virtual PhiloxGenerator& PhiloxGenerator__Default() = 0;
#endif
#ifdef ENABLE_TRAINING_TORCH_INTEROP
...
#endif
```
The later one looks better since the `ENABLE_TRAINING_TORCH_INTEROP` is
for Python bridge code, not for random-number-generating kernels
`PhiloxGenerator`.