Add CUDA graph-based all reduce launcher#26
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WoosukKwon merged 5 commits intomainfrom Apr 5, 2023
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| self.group = get_tensor_model_parallel_group() | ||
| self.buffer = torch.empty( | ||
| size=(max_num_tokens, hidden_size), | ||
| dtype=torch.half, # FIXME: hardcoded dtype |
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Add a dtype argument for this class?
hongxiayang
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Apr 4, 2024
Disable NPU merged to OV master recently
z103cb
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May 16, 2024
Install and configure use of the NCCL version recommended by vLLM via the [vllm-nccl](https://github.com/vllm-project/vllm-nccl) package. The install is a little wonky... but this set of changes should work. Signed-off-by: Travis Johnson <tsjohnso@us.ibm.com>
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May 21, 2024
deps: bump fastapi to >= 0.109.1
fxmarty
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May 31, 2024
Update max_context_len for custom paged attention.
tianyil1
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Jun 5, 2024
…c466a3 Rebase habana_main up to cc466a3
bigPYJ1151
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Jun 25, 2024
…inear_fusion_and_prepack Enable linear fusion/prepack and MOE AWQ fusion
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zyongye
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* add tool server Signed-off-by: Chen Zhang <zhangch99@outlook.com> * add back demo tool server Signed-off-by: Chen Zhang <zhangch99@outlook.com> * update Signed-off-by: Chen Zhang <zhangch99@outlook.com> * update Signed-off-by: Chen Zhang <zhangch99@outlook.com> * update disallow cases Signed-off-by: Chen Zhang <zhangch99@outlook.com> * fix Signed-off-by: Chen Zhang <zhangch99@outlook.com> * fix some type Signed-off-by: Chen Zhang <zhangch99@outlook.com> * fix some type Signed-off-by: Chen Zhang <zhangch99@outlook.com> * fix some type Signed-off-by: Chen Zhang <zhangch99@outlook.com> * fix some type Signed-off-by: Chen Zhang <zhangch99@outlook.com> * fix some type Signed-off-by: Chen Zhang <zhangch99@outlook.com> * fix some type Signed-off-by: Chen Zhang <zhangch99@outlook.com> * fix some type Signed-off-by: Chen Zhang <zhangch99@outlook.com> * fix some type Signed-off-by: Chen Zhang <zhangch99@outlook.com> * fix some type Signed-off-by: Chen Zhang <zhangch99@outlook.com> * fix some type Signed-off-by: Chen Zhang <zhangch99@outlook.com> * fix some type Signed-off-by: Chen Zhang <zhangch99@outlook.com> --------- Signed-off-by: Chen Zhang <zhangch99@outlook.com>
zyongye
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Aug 6, 2025
* add tool server Signed-off-by: Chen Zhang <zhangch99@outlook.com> * add back demo tool server Signed-off-by: Chen Zhang <zhangch99@outlook.com> * update Signed-off-by: Chen Zhang <zhangch99@outlook.com> * update Signed-off-by: Chen Zhang <zhangch99@outlook.com> * update disallow cases Signed-off-by: Chen Zhang <zhangch99@outlook.com> * fix Signed-off-by: Chen Zhang <zhangch99@outlook.com> * fix some type Signed-off-by: Chen Zhang <zhangch99@outlook.com> * fix some type Signed-off-by: Chen Zhang <zhangch99@outlook.com> * fix some type Signed-off-by: Chen Zhang <zhangch99@outlook.com> * fix some type Signed-off-by: Chen Zhang <zhangch99@outlook.com> * fix some type Signed-off-by: Chen Zhang <zhangch99@outlook.com> * fix some type Signed-off-by: Chen Zhang <zhangch99@outlook.com> * fix some type Signed-off-by: Chen Zhang <zhangch99@outlook.com> * fix some type Signed-off-by: Chen Zhang <zhangch99@outlook.com> * fix some type Signed-off-by: Chen Zhang <zhangch99@outlook.com> * fix some type Signed-off-by: Chen Zhang <zhangch99@outlook.com> * fix some type Signed-off-by: Chen Zhang <zhangch99@outlook.com> --------- Signed-off-by: Chen Zhang <zhangch99@outlook.com>
heheda12345
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Sep 29, 2025
…oject#26) * indexer medatata to separate prefill and decode * deep_gemm prefill kernel * decode kernel, can run for single batch * bug fixing insert decode k into kv before gemm * don't use tilelang quant function * faster non-looping torch for kv cache insertion * add chunked prefill impl * change quant kernel back to tilelang for promotion * fix format (vllm-project#31) Signed-off-by: Chen Zhang <zhangch99@outlook.com> * update unit tests * Fp8 indexer prefill (vllm-project#33) * init Signed-off-by: Chen Zhang <zhangch99@outlook.com> * can run --------- Signed-off-by: Chen Zhang <zhangch99@outlook.com> * remove debug comment Signed-off-by: Chen Zhang <zhangch99@outlook.com> * cleanup * further cleanup --------- Signed-off-by: Chen Zhang <zhangch99@outlook.com> Co-authored-by: mgoin <mgoin64@gmail.com> Co-authored-by: Chen Zhang <zhangch99@outlook.com>
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inkcherry
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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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Mar 26, 2026
- Remove unsafe del+reassign pattern in FusedMoEWithLoRA.reallocate_lora_weights; replace with direct assignments to avoid transient broken object state - Add 10 unit tests for FusedMoEWithLoRA.reallocate_lora_weights covering: shape after grow/shrink, weight preservation, zero-init of new slots, adapter_enabled length (new_slots+1), max_loras sync, flat lora_a/b list lengths Co-authored-by: Claude Signed-off-by: yuezhu1
yuezhu1
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Mar 30, 2026
…ora-weights [Core] Add reallocate_lora_weights() to all LoRA layer types
amd-xavierwang
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Apr 8, 2026
…ject#26) With eagle3 speculative decoding (num_speculative_tokens=4), the target model verification pass has batch size 5 (1 original + 4 speculative tokens). The skinny GEMM kernels only supported N<=4, causing fallback to a slow dequant + F.linear path that regressed decode throughput by 28% on Qwen3-30B-A3B-AWQ with eagle3. Add case 5 to all skinny GEMM kernel switch statements (fp16, int4, int4_g, int8) and raise SKINNY_GEMM_MAX_N from 4 to 5 so the fast HIP kernel path is used during speculative verification. Benchmark (Strix Halo, Qwen3-30B-A3B-AWQ-4bit, eagle3 specdec): Before fix: 81.3 tokens/s decode After fix: 115.7 tokens/s decode (+42%) Baseline: 113.3 tokens/s decode (pre-regression)
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Related to #22
This PR uses CUDA graph to reduce the CPU overhead of NCCL all reduce operation.