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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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19
vllm/model_executor/models/siglip2navit.py
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@@ -4,7 +4,6 @@
within a vision language model."""
from collections.abc import Iterable
from typing import Optional
import torch
from einops import rearrange, repeat
@@ -82,7 +81,7 @@ class Siglip2VisionEmbeddings(nn.Module):
def forward(
self,
pixel_values: torch.FloatTensor,
grid_thws: Optional[torch.LongTensor] = None,
grid_thws: torch.LongTensor | None = None,
) -> torch.Tensor:
"""
Args:
@@ -206,7 +205,7 @@ class Siglip2Attention(nn.Module):
def __init__(
self,
config: Siglip2VisionConfig,
quant_config: Optional[QuantizationConfig] = None,
quant_config: QuantizationConfig | None = None,
prefix: str = "",
use_data_parallel: bool = False,
):
@@ -275,8 +274,8 @@ class Siglip2Attention(nn.Module):
self,
hidden_states: torch.Tensor,
cu_seqlens: torch.Tensor,
position_embeddings: Optional[tuple[torch.Tensor, torch.Tensor]] = None,
) -> tuple[torch.Tensor, Optional[torch.Tensor]]:
position_embeddings: tuple[torch.Tensor, torch.Tensor] | None = None,
) -> tuple[torch.Tensor, torch.Tensor | None]:
"""Input shape: Batch x Time x Channel"""
seq_length, embed_dim = hidden_states.shape
@@ -337,7 +336,7 @@ class Siglip2MLP(nn.Module):
def __init__(
self,
config: Siglip2VisionConfig,
quant_config: Optional[QuantizationConfig] = None,
quant_config: QuantizationConfig | None = None,
prefix: str = "",
use_data_parallel: bool = False,
):
@@ -370,7 +369,7 @@ class Siglip2EncoderLayer(nn.Module):
def __init__(
self,
config: Siglip2VisionConfig,
quant_config: Optional[QuantizationConfig] = None,
quant_config: QuantizationConfig | None = None,
prefix: str = "",
use_data_parallel: bool = False,
):
@@ -432,7 +431,7 @@ class Siglip2Encoder(nn.Module):
def __init__(
self,
config: Siglip2VisionConfig,
quant_config: Optional[QuantizationConfig] = None,
quant_config: QuantizationConfig | None = None,
prefix: str = "",
use_data_parallel: bool = False,
):
@@ -616,7 +615,7 @@ class Siglip2VisionTransformer(nn.Module):
def __init__(
self,
config: Siglip2VisionConfig,
quant_config: Optional[QuantizationConfig] = None,
quant_config: QuantizationConfig | None = None,
prefix: str = "",
use_data_parallel: bool = False,
):
@@ -655,7 +654,7 @@ class Siglip2NavitModel(torch.nn.Module):
def __init__(
self,
config: Siglip2VisionConfig,
quant_config: Optional[QuantizationConfig] = None,
quant_config: QuantizationConfig | None = None,
prefix: str = "",
use_data_parallel: bool = False,
):