What does the PR do?

Makes the AOTI test models batch‑capable and adds coverage: the simple add/sub model is exported with a dynamic batch dim and max_batch_size: 8; a new sequence (implicit‑state accumulator) model + config is added to gen_qa_implicit_models.py and wired into gen_qa_model_repository; and torch_aoti_infer_test.py gains batched inference cases (batch 1/4/8 across dtypes) plus a sequence test class (single + interleaved sequences), with test.sh updated to pull and run them.

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Related PRs:

triton-inference-server/pytorch_backend#196

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• closes GitHub issue: #xxx