EngineX/xc-llm-ascend
3
0
Fork 0
Code Issues Pull Requests Projects Releases Wiki Activity

upgrade to vllm 0.11.2 (#4400)

Browse Source 
Bump vLLM version to v0.11.2

What's broken and changed by vLLM:
1. structured_output is broken by
https://github.com/vllm-project/vllm/pull/26866
2. get_mrope_input_positions is broken by
https://github.com/vllm-project/vllm/pull/28399
3. graph mode is broken by
https://github.com/vllm-project/vllm/pull/25110 we'll upgrade torch to
2.8 to fix the problem later
4. embedding is broken by
https://github.com/vllm-project/vllm/pull/27583
5. `get_attn_backend_cls` and attention backend is broken are broken by
https://github.com/vllm-project/vllm/pull/28534
6. spec decode is broken by
https://github.com/vllm-project/vllm/pull/28771
7. sp feature is broken by
https://github.com/vllm-project/vllm/pull/27126
8. mtp is broken by https://github.com/vllm-project/vllm/pull/27922
9. lora is broken by https://github.com/vllm-project/vllm/pull/21068
10. execute_model is broken by
https://github.com/vllm-project/vllm/pull/26866
11. `VLLM_DISABLE_SHARED_EXPERTS_STREAM` env is broken by
https://github.com/vllm-project/vllm/pull/28159
12. kv cahe is broken by https://github.com/vllm-project/vllm/pull/27753
13. dp is broken by https://github.com/vllm-project/vllm/pull/25110

 
What's broken and changed by ourself:
1. qwen vl is broken by https://github.com/vllm-project/vllm/pull/28455
We'll remove model files in the future to avoid this kind of error
2. Engine core is broken by
https://github.com/vllm-project/vllm/pull/23691 We'll remove the patch
file in the future.
3. Ascend scheduler is broken by
https://github.com/vllm-project/vllm/pull/28733 We'll remove ascend
scheudler later.
4. qwen3-next is broken by
https://github.com/vllm-project/vllm/pull/28083 We'll remove model files
in the future to avoid this kind of error
5. qwen vl is broken by https://github.com/vllm-project/vllm/pull/27764.
We'll remove model files in the future

Known issue:
1. ray doesn't work 
2. the accuracy of qwen3-next is not correct
3. qwen3-vl is broken
4. prefix cache+ ascend scheduler + deepseek v2 lite is broken.

Co-authored-by: MengqingCao <cmq0113@163.com>
Co-authored-by: hfadzxy <starmoon_zhang@163.com>
Co-authored-by: leo-pony <nengjunma@outlook.com>
Co-authored-by: 22dimensions <waitingwind@foxmail.com>
Co-authored-by: shen-shanshan <467638484@qq.com>


- vLLM version: v0.11.2

---------

Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>
Signed-off-by: MengqingCao <cmq0113@163.com>
Signed-off-by: hfadzxy <starmoon_zhang@163.com>
Signed-off-by: leo-pony <nengjunma@outlook.com>
Co-authored-by: MengqingCao <cmq0113@163.com>
Co-authored-by: hfadzxy <starmoon_zhang@163.com>
Co-authored-by: leo-pony <nengjunma@outlook.com>
This commit is contained in:
wangxiyuan
2025-11-26 11:48:58 +08:00
committed by GitHub
parent d5f77f14d0
commit bc69d7cfe1
54 changed files with 744 additions and 437 deletions
Download Patch File Download Diff File Expand all files Collapse all files

12
vllm_ascend/spec_decode/mtp_proposer.py
View File

@@ -302,7 +302,8 @@ class MtpProposer(Proposer):
break
def generate_token_ids(self,
sampled_token_ids: list[list[int]],
sampled_token_ids: Union[torch.Tensor,
list[np.ndarray]],
sampling_metadata: SamplingMetadata = None,
scheduler_output: SchedulerOutput = None,
spec_decode_metadata: SpecDecodeMetadata = None,
@@ -379,6 +380,7 @@ class MtpProposer(Proposer):
common_attn_metadata.query_start_loc = \
query_start_loc_pcp_full[:num_reqs + 1]
if self.speculative_config.disable_padded_drafter_batch:
assert isinstance(sampled_token_ids, list)
# NOTE: Currently, MTP-fullgraph is incompatibility with pcp
token_indices_to_sample = None
common_attn_metadata, token_indices =\
@@ -437,7 +439,7 @@ class MtpProposer(Proposer):
def _prepare_inputs(
self,
common_attn_metadata: CommonAttentionMetadata,
sampled_token_ids: list[list[int]],
sampled_token_ids: list[np.ndarray],
num_draft_tokens: list[int],
) -> tuple[CommonAttentionMetadata, torch.Tensor]:
"""
@@ -895,7 +897,7 @@ class MtpProposer(Proposer):
def prepare_next_token_ids_cpu(
self,
sampled_token_ids: list[list[int]],
sampled_token_ids: list[np.ndarray],
requests: dict[str, CachedRequestState],
gpu_input_batch: InputBatch,
num_scheduled_tokens: dict[str, int],
@@ -910,7 +912,7 @@ class MtpProposer(Proposer):
req_ids = gpu_input_batch.req_ids
next_token_ids: list[int] = []
for i, token_ids in enumerate(sampled_token_ids):
if token_ids:
if token_ids.shape[0] > 0:
# Common case.
next_token_id = token_ids[-1]
else:
@@ -921,7 +923,7 @@ class MtpProposer(Proposer):
seq_len = req_state.num_computed_tokens + num_scheduled_tokens[
req_id]
next_token_id = req_state.get_token_id(seq_len)
next_token_ids.append(next_token_id)
next_token_ids.append(next_token_id.item())
next_token_ids = torch.tensor(next_token_ids,
dtype=torch.int32,
device=self.input_ids.device)