biondizzle/vllm
1
0
Fork 0
Code Issues Pull Requests Actions 2 Packages Projects Releases Wiki Activity

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

Browse Source 
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
Download Patch File Download Diff File Expand all files Collapse all files

28
vllm/model_executor/models/step3_text.py
View File

@@ -4,7 +4,7 @@
from collections.abc import Iterable
from itertools import islice
from typing import Any, Optional
from typing import Any
import torch
from torch import nn
@@ -54,7 +54,7 @@ class FusedMoEBlock(nn.Module):
def __init__(
self,
config: ModelConfig,
quant_config: Optional[QuantizationConfig] = None,
quant_config: QuantizationConfig | None = None,
prefix: str = "",
):
super().__init__()
@@ -106,7 +106,7 @@ class Step3TextMLP(nn.Module):
hidden_size: int,
intermediate_size: int,
hidden_act: str,
quant_config: Optional[QuantizationConfig] = None,
quant_config: QuantizationConfig | None = None,
prefix: str = "",
) -> None:
super().__init__()
@@ -146,12 +146,12 @@ class Step3TextAttention(nn.Module):
num_kv_heads: int,
norm_eps: float,
rope_theta: int,
share_q_dim: Optional[int] = None,
rope_scaling: Optional[dict[str, Any]] = None,
share_q_dim: int | None = None,
rope_scaling: dict[str, Any] | None = None,
max_position_embedding: int = 8192,
head_dim: int = 256,
cache_config: Optional[CacheConfig] = None,
quant_config: Optional[QuantizationConfig] = None,
cache_config: CacheConfig | None = None,
quant_config: QuantizationConfig | None = None,
prefix: str = "",
):
super().__init__()
@@ -229,8 +229,8 @@ class Step3TextDecoderLayer(nn.Module):
def __init__(
self,
config: ModelConfig,
cache_config: Optional[CacheConfig] = None,
quant_config: Optional[QuantizationConfig] = None,
cache_config: CacheConfig | None = None,
quant_config: QuantizationConfig | None = None,
prefix: str = "",
) -> None:
super().__init__()
@@ -291,7 +291,7 @@ class Step3TextDecoderLayer(nn.Module):
self,
positions: torch.Tensor,
hidden_states: torch.Tensor,
residual: Optional[torch.Tensor],
residual: torch.Tensor | None,
) -> tuple[torch.Tensor, torch.Tensor]:
if residual is None:
residual = hidden_states
@@ -362,8 +362,8 @@ class Step3TextModel(nn.Module):
self,
input_ids: torch.Tensor,
positions: torch.Tensor,
intermediate_tensors: Optional[IntermediateTensors] = None,
inputs_embeds: Optional[torch.Tensor] = None,
intermediate_tensors: IntermediateTensors | None = None,
inputs_embeds: torch.Tensor | None = None,
) -> torch.Tensor:
if get_pp_group().is_first_rank:
if inputs_embeds is not None:
@@ -436,8 +436,8 @@ class Step3TextForCausalLM(nn.Module, SupportsPP):
self,
input_ids: torch.Tensor,
positions: torch.Tensor,
intermediate_tensors: Optional[IntermediateTensors] = None,
inputs_embeds: Optional[torch.Tensor] = None,
intermediate_tensors: IntermediateTensors | None = None,
inputs_embeds: torch.Tensor | None = None,
):
hidden_states = self.model(
input_ids, positions, intermediate_tensors, inputs_embeds