fix cache dynamic dimension in image-text-to-text

[xadupre]

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[Copilot]

Pull request overview

This PR aims to address dynamic-shape handling around KV-cache tensors for the image-text-to-text task, and adds a way to override the ONNX opset used by the Qwen2.5-VL export script.

Changes:

• Adjust dynamic shape specifications for past_key_values in image_text_to_text inputs.
• Gate the GenerationMixin.prepare_inputs_for_generation patch by an additional transformers version upper bound and update related unit test skip logic.
• Add an optional opset parameter to the Qwen2.5-VL export entrypoint and update the CI export unit test to pass a specific opset.

Reviewed changes

Copilot reviewed 5 out of 5 changed files in this pull request and generated 3 comments.

Show a summary per file

File	Description
onnx_diagnostic/torch_export_patches/patches/_patch_transformers_generation_mixin.py	Adds an upper-bound version condition for when prepare_inputs_for_generation is patched.
onnx_diagnostic/tasks/image_text_to_text.py	Updates dynamic-shape metadata for past_key_values (KV cache) to include a dynamic sequence/cache dimension.
onnx_diagnostic/ci_models/export_qwen25_vl.py	Adds an optional opset argument and uses it to select target_opset.
_unittests/ut_torch_export_patches/test_patch_transformers.py	Skips a subtest for transformers versions at/above the new boundary.
_unittests/ut_ci_models/test_ci_export.py	Passes opset=24 into the Qwen2.5-VL export main() in the unit test.

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[Copilot]

Pull request overview

Copilot reviewed 12 out of 12 changed files in this pull request and generated 3 comments.

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