[LPT] FQStripping transformation rework (#33989)
### Details:
Some INT16 models rely on U16/I16 FakeQuantize layers. Simply stripping
these FakeQuantize operations may be insufficient when such models are
executed in f16 precision, because the original (unquantized) activation
values flowing through the stripped path may exceed the representable
f16 range. This can lead to overflow and, consequently, incorrect
inference results.
This PR introduces a new mechanism called `ScaleAdjuster`.
The `ScaleAdjuster` detects activation paths that feed into
scale‑invariant nodes and safely reduces the magnitude of activation
values to keep them within the f16 numeric range — without altering the
model’s semantic correctness (so the adjustment is possible only for
activations paths which reach scale-invariant nodes).
The implementation is validated by:
- GPU functional tests, ensuring inference correctness, and
- LPT graph comparison tests, verifying structural consistency of
transformations.
### Tickets:
- *CVS-180573*
