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Update Optional[x] -> x | None and Union[x, y] to x | y (#26633)

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Signed-off-by: Harry Mellor <19981378+hmellor@users.noreply.github.com>
This commit is contained in:
Harry Mellor
2025-10-12 17:51:31 +01:00
committed by GitHub
parent 9bb38130cb
commit 8fcaaf6a16
944 changed files with 9490 additions and 10121 deletions
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11
vllm/model_executor/models/qwen3_next_mtp.py
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@@ -3,7 +3,6 @@
"""Inference-only Qwen3Next MTP model."""
from collections.abc import Iterable
from typing import Optional
import torch
from torch import nn
@@ -108,8 +107,8 @@ class Qwen3NextMultiTokenPredictor(nn.Module):
input_ids: torch.Tensor,
positions: torch.Tensor,
hidden_states: torch.Tensor,
intermediate_tensors: Optional[IntermediateTensors] = None,
inputs_embeds: Optional[torch.Tensor] = None,
intermediate_tensors: IntermediateTensors | None = None,
inputs_embeds: torch.Tensor | None = None,
spec_step_idx: int = 0,
) -> torch.Tensor:
if get_pp_group().is_first_rank:
@@ -275,8 +274,8 @@ class Qwen3NextMTP(nn.Module, SupportsPP):
input_ids: torch.Tensor,
positions: torch.Tensor,
hidden_states: torch.Tensor,
intermediate_tensors: Optional[IntermediateTensors] = None,
inputs_embeds: Optional[torch.Tensor] = None,
intermediate_tensors: IntermediateTensors | None = None,
inputs_embeds: torch.Tensor | None = None,
**kwargs: object,
):
hidden_states = self.model(
@@ -288,7 +287,7 @@ class Qwen3NextMTP(nn.Module, SupportsPP):
self,
hidden_states: torch.Tensor,
spec_step_idx: int = 0,
) -> Optional[torch.Tensor]:
) -> torch.Tensor | None:
return self.logits_processor(self.lm_head, hidden_states)
def load_weights(self, weights: Iterable[tuple[str, torch.Tensor]]) -> set[str]: