[CI] Update vllm version to 20250922(5aeb925) (#3091)

### What this PR does / why we need it?
This pr bump vllm commit hash to
5aeb925452
fix issues:  
1. https://github.com/vllm-project/vllm/pull/25345 has remove v0
metadata
2. https://github.com/vllm-project/vllm/pull/25332
3. https://github.com/vllm-project/vllm/pull/25334
4. https://github.com/vllm-project/vllm/pull/23558, note that this vllm
commit update the model register logic, which will check all the model
registered have the `vllm.model_executor.models` path , which breaks our
custom registration of the deepseek_v3 model (it doesn't exist in the
vllm model path). so I move deepseek_v3 model registy to deepseek_v2 to
solve temporary

### How was this patch tested?

- vLLM version: v0.10.2
- vLLM main:
9607d5eb44

---------

Signed-off-by: wangli <wangli858794774@gmail.com>
This commit is contained in:
Li Wang
2025-09-22 22:18:13 +08:00
committed by GitHub
parent 1c9f0fe26f
commit 02f89d166f
21 changed files with 58 additions and 92 deletions

View File

@@ -27,7 +27,6 @@ class TestAscendSchedulerConfig(TestBase):
max_model_len=8192,
is_multimodal_model=False,
send_delta_data=False,
scheduler_delay_factor=0,
)
def test_initialize_from_config_with_default(self):
@@ -90,21 +89,6 @@ class TestAscendSchedulerConfig(TestBase):
str(context.exception),
)
def test_not_implemented_delay_factor(self):
with self.assertRaises(NotImplementedError) as context:
AscendSchedulerConfig.initialize_from_config(
self.basic_scheduler_config,
AscendSchedulerConfig(
delay_factor=1,
max_num_batched_tokens=2048,
max_model_len=2048,
),
)
self.assertIn(
"currently AscendScheduler doesn't support scheduler_delay_factor",
str(context.exception),
)
def test_no_override(self):
ascend_config = AscendSchedulerConfig.initialize_from_config(
self.basic_scheduler_config, {})

View File

@@ -168,8 +168,6 @@ class TestCustomDeepSeekMTP(PytestBase):
mocker.patch(
"vllm_ascend.models.deepseek_mtp.CustomDeepSeekMultiTokenPredictorLayer.__call__",
return_value=None)
mocker.patch("vllm.model_executor.layers.sampler.get_sampler",
return_value=None)
mocker.patch(
"vllm_ascend.ops.vocab_parallel_embedding.AscendVocabParallelEmbedding.__init__",
return_value=None)

View File

@@ -165,8 +165,6 @@ class TestTorchairDeepSeekMTP(PytestBase):
mocker.patch(
"vllm_ascend.torchair.models.torchair_deepseek_mtp.TorchairDeepSeekMultiTokenPredictorLayer.__call__",
return_value=None)
mocker.patch("vllm.model_executor.layers.sampler.get_sampler",
return_value=None)
mocker.patch(
"vllm_ascend.ops.vocab_parallel_embedding.AscendVocabParallelEmbedding.__init__",
return_value=None)