Bump pytorch 2.9.0

[AlexanderDokuchaev]

Changes

• Updated torch to version 2.9.0 and torchvision to version 0.24.0
  • some examples still used 2.8.0 until update optimum

    from torch.onnx.symbolic_opset14 import (  # noqa: E402
ImportError: cannot import name '_attention_scale' from 'torch.onnx.symbolic_opset14' (/tmp/pytest-of-runner/pytest-0/test_examples_llm_compression_0/venv/lib/python3.10/site-packages/torch/onnx/symbolic_opset14.py)

• Set dynamo=False in all calls to torch.onnx.export throughout the codebase and tests to ensure compatibility with PyTorch 2.9.0 and work around issues with the ultralytics library.

• Applied a workaround in scripts using ultralytics to set the default value for the dynamo parameter in torch.onnx.export, with a TODO to remove after upstream fixes.

• Use check_guards=False for FX model to no add extra function to model

• Update referenced FX graphs, in reason of fused slice and select operations

Tests

manual/job/post_training_quantization/738/
https://github.com/openvinotoolkit/nncf/actions/runs/18719524116
https://github.com/openvinotoolkit/nncf/actions/runs/18720059603
nightly/job/torch_nightly/687/

[MaximProshin]

@andrey-churkin , please also review onnx related changes