Gemma3 Bidirectional Attention Mask Bug

Based on https://huggingface.co/blog/gemma3, Images cannot attend to future images but current transformers implementation will unmask attention within all images
- Issue: https://github.com/huggingface/transformers/issues/38053
- PR: https://github.com/huggingface/transformers/pull/38080

Need to update following code for optimum-intel openvino export after [PR38080](https://github.com/huggingface/transformers/pull/38080) merged:
- https://github.com/eaidova/optimum-intel/blob/2c7ddedf2c1886abcd0a9ad3ac35373bfd85d498/optimum/exporters/openvino/model_patcher.py#L4428-L4474

Start in optimum/exporters/openvino/model_patcher.py around lines 4428-4474 and compare the current logic with transformers PR 38080 and its linked issue. Update the OpenVINO export behavior to match the corrected Gemma3 bidirectional attention mask, then verify that the exported model no longer unmasks attention across all images.

Written by the indexing model from the issue text.