test: add KV cache subgraph tests with dynamic shapes and generation …#4191
test: add KV cache subgraph tests with dynamic shapes and generation …#4191yizhuoz004 wants to merge 1 commit intopytorch:mainfrom
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…loops Add tests/py/dynamo/hlo/test_kv_cache.py covering five KV cache patterns common in LLM inference: - DynamicCache: growing cache via torch.cat - StaticCache: fixed-size cache with index_copy_ writes - StaticScatterCache: scatter-based position-indexed writes - SlidingWindowCache: fixed-window rolling cache via cat+slice - RoPEDynamicCache: dynamic cache with rotary position embeddings Each test class uses torch.export with dynamic shape dims and torch_tensorrt.dynamo.compile, runs a multi-step generation loop (8–20 steps), and validates TRT output against a PyTorch reference across 6 configurations (batch size, head count, hidden dim, fp16/fp32). Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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Description
Add tests/py/dynamo/hlo/test_kv_cache.py covering five KV cache patterns common in LLM inference:
Each test class uses torch.export with dynamic shape dims and torch_tensorrt.dynamo.compile, runs a multi-step generation loop (8–20 steps), and validates TRT output against a PyTorch reference across 6 configurations (batch size, head count, hidden dim, fp16/fp32).
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