[CI] Update vllm version to 20250922(5aeb925) (#3091)
### What this PR does / why we need it? This pr bump vllm commit hash to5aeb925452fix 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>
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@@ -50,7 +50,6 @@ from vllm.model_executor.models.utils import (
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AutoWeightsLoader, PPMissingLayer, extract_layer_index,
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is_pp_missing_parameter, make_empty_intermediate_tensors_factory,
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make_layers, maybe_prefix)
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from vllm.model_executor.sampling_metadata import SamplingMetadata
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from vllm.model_executor.utils import set_weight_attrs
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from vllm.platforms import current_platform
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from vllm.sequence import IntermediateTensors
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@@ -1079,9 +1078,9 @@ class Qwen3NextForCausalLM(nn.Module, HasInnerState, SupportsLoRA, SupportsPP,
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use_v1=True)
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def compute_logits(
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self,
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hidden_states: torch.Tensor,
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sampling_metadata: SamplingMetadata,
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self,
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hidden_states: torch.Tensor,
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sampling_metadata, # type: ignore
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) -> Optional[torch.Tensor]:
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return self.logits_processor(self.lm_head, hidden_states,
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sampling_metadata)
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