vlm: fix tiny multimodal cache bug#12984
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Summary of ChangesHello @yhyang201, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed! This pull request addresses a subtle bug within the multimodal caching logic, specifically ensuring that the cache keys are accurately constructed for each request. By rectifying the source of item hashes, the change aims to improve the reliability and correctness of cache operations for multimodal embeddings, preventing potential cache misses or incorrect data retrieval. Highlights
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Code Review
This pull request fixes a bug in the multimodal cache key generation. The original code incorrectly used all embedding items in the batch to generate a hash for a single request's embedding, which could lead to cache misses or incorrect cache hits. The change correctly uses the per-request embedding items (embedding_items_per_req) to generate the hash. This is a correct and necessary fix.
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| self._run_vlm_mmmu_test(model, "./logs") | ||
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| def test_vlm_mmmu_benchmark_with_small_cache(self): |
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@ZhengWG Could you add it back later, since the cache class is changed in a previous PR (with a server-level cache)?
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@ZhengWG Could you add it back later, since the cache class is changed in a previous PR (with a server-level cache)?
Sure, I will add it this week.
Motivation
Modifications
Accuracy Tests
Benchmarking and Profiling
Checklist