DreamerLeader b6d55fc48e [Bugfix]Fixed precision issues caused by pooled request pooling (#6049) ...

### What this PR does / why we need it?
Fixed precision issues caused by pooled request pooling
### Does this PR introduce _any_ user-facing change?
pr6045
### How was this patch tested?

- vLLM version: v0.13.0
- vLLM main:
d68209402d

---------

Signed-off-by: 房建伟 <fangjianwei@fangjianweideMacBook-Air.local>
Co-authored-by: 房建伟 <fangjianwei@fangjianweideMacBook-Air.local>

2026-01-20 23:51:31 +08:00

..

_310p

[Feature]: Support 310P device run qwen2.5/3 dense and qwen2.5vl models (#5776)

2026-01-17 11:49:18 +08:00

_cann_ops_custom

[Kernel] add custom op GmmSwigluQuantWeightNzTensorList (#3804)

2025-11-28 18:06:39 +08:00

attention

[Lint]Style: Convert vllm-ascend/ to ruff format(Batch #2) (#5977)

2026-01-19 08:59:46 +08:00

compilation

[Feature]refactor the npugraph_ex config, support online-infer with static kernel (#5775)

2026-01-20 21:31:38 +08:00

core

[CI] fix lint (#5216)

2025-12-20 17:03:25 +08:00

device

[Lint]Style: Convert vllm-ascend/ to ruff format(Batch #2) (#5977)

2026-01-19 08:59:46 +08:00

device_allocator

[Lint]Style: Convert vllm-ascend/ to ruff format(Batch #2) (#5977)

2026-01-19 08:59:46 +08:00

distributed

[Bugfix]Fixed precision issues caused by pooled request pooling (#6049)

2026-01-20 23:51:31 +08:00

eplb

[Feature] Adapt DispathGmmCombineDecode opertor to align with weight scale dtype of small operators. [RFC: issue 5476] (#5755)

2026-01-19 16:10:43 +08:00

kv_offload

[Main2Main] Upgrade vllm commit to 0113 (#5839)

2026-01-15 09:48:53 +08:00

lora

[BufFix]Fix the error when using Ascend custom operators with rank=128 (#5394)

2026-01-09 15:57:43 +08:00

model_loader

[BugFix] NetLoader: No backend type associated with device type npu (#5700)

2026-01-09 15:54:54 +08:00

ops

[Ops] Add layernorm for qwen3Next (#5765)

2026-01-20 14:43:14 +08:00

patch

[Fusion] [Graph]Add Matmul Allreduce Rmsnorm fusion Pass (#5034)

2026-01-19 09:28:07 +08:00

quantization

[Feature] Adapt DispathGmmCombineDecode opertor to align with weight scale dtype of small operators. [RFC: issue 5476] (#5755)

2026-01-19 16:10:43 +08:00

sample

[Feature] add the magicmtp speculative decoding acceleration algorithm (#5542)

2026-01-08 09:15:55 +08:00

spec_decode

[main][Bugfix] Fixed an problem related to embeddings sharing (#5967)

2026-01-20 21:34:28 +08:00

worker

model runner v2 support triton of penalty (#5854)

2026-01-20 12:26:05 +00:00

xlite

[BugFix] Xlite: Bypass the padding of the graph mode in non-MTP cases to obtain the correct decode num. (#5711)

2026-01-09 15:55:30 +08:00

__init__.py

[Lint]Style: Convert vllm-ascend/compilation to ruff format (#5912)

2026-01-16 20:57:46 +08:00

ascend_config.py

[Feature]refactor the npugraph_ex config, support online-infer with static kernel (#5775)

2026-01-20 21:31:38 +08:00

ascend_forward_context.py

[Lint]Style: Convert vllm-ascend/compilation to ruff format (#5912)

2026-01-16 20:57:46 +08:00

batch_invariant.py

[Lint]Style: Convert vllm-ascend/ to ruff format(Batch #2) (#5977)

2026-01-19 08:59:46 +08:00

cpu_binding.py

[Lint]Style: Convert vllm-ascend/compilation to ruff format (#5912)

2026-01-16 20:57:46 +08:00

envs.py

[Lint]Style: Convert vllm-ascend/ to ruff format(Batch #2) (#5977)

2026-01-19 08:59:46 +08:00

flash_common3_context.py

[Lint]Style: Convert vllm-ascend/compilation to ruff format (#5912)

2026-01-16 20:57:46 +08:00

meta_registration.py

[Lint]Style: Convert vllm-ascend/compilation to ruff format (#5912)

2026-01-16 20:57:46 +08:00

platform.py

[Feature]refactor the npugraph_ex config, support online-infer with static kernel (#5775)

2026-01-20 21:31:38 +08:00

profiling_config.py

[Lint]Style: Convert vllm-ascend/compilation to ruff format (#5912)

2026-01-16 20:57:46 +08:00

utils.py

[Ops] Add layernorm for qwen3Next (#5765)

2026-01-20 14:43:14 +08:00