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…ock_size [CPU] Support for larger block_size
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Fix more logging lint errors
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Signed-off-by: Nick Hill <nickhill@us.ibm.com> Co-authored-by: Daniel Clark <daniel.clark@ibm.com>
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make package version control by setuptools_scm to keep the same with vllm Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>
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heheda12345
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Co-authored-by: Lucia Fang <fanglu@meta.com>
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Co-authored-by: root <root@smc300x-ccs-aus-gpue77e.prov.aus.ccs.cpe.ice.amd.com>
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yma11
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* remove duplicated code Signed-off-by: Kunshang Ji <kunshang.ji@intel.com> * remove more Signed-off-by: Kunshang Ji <kunshang.ji@intel.com> --------- Signed-off-by: Kunshang Ji <kunshang.ji@intel.com>
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New Industry Use Cases (vllm-project#21-30): - vllm-project#21 Game Development: AI game testing + balance tuning - vllm-project#22 Construction: Vision AI safety inspection - vllm-project#23 Agriculture/Smart Farm: Crop monitoring + pest detection - vllm-project#24 Government/Public: Document automation + citizen services - vllm-project#25 Energy/Utilities: Grid monitoring + anomaly detection - vllm-project#26 Environment/Sustainability: Carbon tracking + ESG reporting - vllm-project#27 Fashion/Apparel: Trend analysis + inventory optimization - vllm-project#28 Sports/Fitness: Performance analytics + tactical analysis - vllm-project#29 Automotive/Mobility: Autonomous driving simulation - vllm-project#30 Space/Aerospace: Satellite image analysis Advanced Architecture Patterns: 1. Event-Driven Pattern: Webhook → Event Bus → Agent triggers 2. Streaming Pattern: Large dataset processing with chunking 3. Batch Processing Pattern: Celery-based parallel processing 4. Circuit Breaker Pattern: Fault tolerance + auto recovery 5. CQRS + Event Sourcing: Command/Query separation 6. Saga Pattern: Distributed transaction management Guide now covers: - 30+ industry-specific MCP implementations - 6 production-ready architecture patterns - Real-world scalability solutions - Enterprise integration strategies - Total: 8,672 lines (from 7,249)
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yuezhu1
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- Add _lora_slots field on LoRAModelManager, decoupled from lora_config so dynamic scaling does not mutate the original config object - Add _evict_adapters_to_fit() hook on base class (raises on overflow); LRUCacheLoRAModelManager overrides it with LRU eviction and rebuilds _active_adapters cache with new capacity (cachetools maxsize read-only) - Implement resize_lora_slots() on base class: validates, evicts, calls reallocate_lora_weights() on all modules, empty_cache() once, resizes lora_index_to_id, updates _lora_slots - Step 7 (re-load surviving adapters) intentionally omitted — weights are preserved via GPU-to-GPU copy in reallocate_lora_weights(); comment notes what to do if a remote weight store is introduced in future - Add tests/lora/test_lora_model_manager_resize.py: 6 CPU-only unit tests covering validation, no-op, grow, LRU shrink, base-class overflow raise, and empty_cache() called exactly once Closes vllm-project#11 Closes vllm-project#21 AI assistance was used; all changed lines reviewed by the submitter. Co-authored-by: Claude Signed-off-by: Yue Zhu <Yue.Zhu@ibm.com>
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The compilation time of flash-attn can be drastically reduced if ninja is installed. Related issue: Dao-AILab/flash-attention#150