xc-llm-ascend/vllm_ascend at 3cf059a72b7d5b51db0e9299149ec17e422553cb - xc-llm-ascend - Gitea: Git with a cup of tea

EngineX/xc-llm-ascend

Files

History

wjunLu 3cf059a72b [Main2Main] Upgrade vllm commit to 0105 (#5595 )

### What this PR does / why we need it?

Upgrade vllm commit to 0105 (8be6432bdaf6275664d857b1e5e9bf8ed1ce299e)

1. Remove `maybe_padded_num_tokens` arg in `model_runner_v1.py` since
https://github.com/vllm-project/vllm/pull/31517 deleted unused arg

2. Remove dense `Qwen/Qwen3-0.6B` in
`tests/e2e/multicard/test_aclgraph_capture_replay.py` and
`tests/e2e/multicard/test_data_parallel.py` due to
https://github.com/vllm-project/vllm/pull/30739
where offline data parallel mode will not be supported/useful for dense
models

3. Adapt `vllm_ascend/worker/worker.py` due to
https://github.com/vllm-project/vllm/pull/31584

4. Adapt `self.block_size` calling due to
https://github.com/vllm-project/vllm/pull/31540

5. Modify `test_mla_v1.py` due to
https://github.com/vllm-project/vllm/pull/28454 , which refactorred
`get_head_size()`

### Does this PR introduce _any_ user-facing change?

### How was this patch tested?

- vLLM version: v0.13.0
- vLLM main:
7157596103

Signed-off-by: wjunLu <wjunlu217@gmail.com>

2026-01-06 08:44:29 +08:00

..

_cann_ops_custom

[Kernel] add custom op GmmSwigluQuantWeightNzTensorList (#3804 )

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

[Main2Main] Upgrade vllm commit to 0105 (#5595 )

2026-01-06 08:44:29 +08:00

[BugFix][Fusion] Fix graph fusion failure problem (#5253 )

2026-01-05 17:49:09 +08:00

[CI] fix lint (#5216 )

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

device_allocator

[Misc]Clean up useless import from vllm (#2049 )

2025-07-28 16:01:59 +08:00

[P/D]Remove mooncake kvpool unused parameter local_hostname (#5574 )

2026-01-05 20:18:59 +08:00

[smoke][bugfix] moe_init_routing_v2 active_expert_range use int type (#5521 )

2025-12-31 09:19:04 +08:00

[BugFix] Fix npu-cpu offloading interface change bug. (#5290 )

2025-12-27 10:21:20 +08:00

[BugFix]Fix precision issue for LoRA feature (#4141 )

2025-12-19 14:22:06 +08:00

[CI] speed up ut (#4901 )

2025-12-11 18:45:43 +08:00

Revert "[Feat] enable hierarchical mc2 ops on A2 by default (#5545 )" (#5611 )

2026-01-05 22:39:05 +08:00

[BugFix][Fusion] Fix graph fusion failure problem (#5253 )

2026-01-05 17:49:09 +08:00

[Model] Add LongCat-Flash (#3833 )

2025-12-31 17:06:55 +08:00

feat: implement high-performance Triton kernels for rejection sampling: optimization for rejection_random_sample_kernel (#5259 )

2026-01-05 16:03:02 +08:00

[Main2Main] Upgrade vllm commit to 0105 (#5595 )

2026-01-06 08:44:29 +08:00

[Main2Main] Upgrade vllm commit to 0105 (#5595 )

2026-01-06 08:44:29 +08:00

[CI] add xlite e2e test (#5305 )

2025-12-25 09:17:06 +08:00

__init__.py

clean up model module (#4611 )

2025-12-02 17:35:47 +08:00

ascend_config.py

[Feature] Support kv nz feature for DeepSeek decode node in disagg-prefill scenario (#3072 )

2025-12-31 14:24:04 +08:00

ascend_forward_context.py

[BugFix]Disable dispatch_gmm_combine_decode operator when mtp drafter model uses non-w8a8 while main model uses w8a8, or drafter model is eagle series (#5293 )

2026-01-04 17:51:28 +08:00

cpu_binding.py

[main] support cpu binding (#3546 )

2025-10-21 09:17:03 +08:00

envs.py

Remove VLLM_ASCEND_ENABLE_DENSE_OPTIMIZE (#5272 )

2025-12-25 11:09:56 +08:00

flash_common3_context.py

[Perf]enable prefill flashcommon3 (#4065 )

2025-12-14 09:34:13 +08:00

meta_registration.py

Fix the bugs about operator registration by PyTorch Dispatcher (#2786 )

2025-09-13 11:58:52 +08:00

platform.py

[Bugfix] fix pcp + eplb error (#5561 )

2026-01-05 14:08:11 +08:00

profiling_config.py

Drop ascend scheduler (#4623 )

2025-12-05 09:03:45 +08:00

utils.py

Revert "[Feat] enable hierarchical mc2 ops on A2 by default (#5545 )" (#5611 )

2026-01-05 22:39:05 +08:00