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Update deprecated type hinting in models (#18132)

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Signed-off-by: Harry Mellor <19981378+hmellor@users.noreply.github.com>
This commit is contained in:
Harry Mellor
2025-05-15 06:06:50 +01:00
committed by GitHub
parent 83f74c698f
commit 26d0419309
130 changed files with 971 additions and 901 deletions
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11
vllm/model_executor/models/siglip.py
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@@ -3,7 +3,8 @@
within a vision language model."""
import math
from typing import Iterable, Optional, Set, Tuple, Union
from collections.abc import Iterable
from typing import Optional, Union
import torch
from torch import nn
@@ -265,7 +266,7 @@ class SiglipEncoderLayer(nn.Module):
def forward(
self,
hidden_states: torch.Tensor,
) -> Tuple[torch.Tensor, None]:
) -> tuple[torch.Tensor, None]:
residual = hidden_states
hidden_states = self.layer_norm1(hidden_states)
@@ -480,8 +481,8 @@ class SiglipVisionModel(nn.Module):
feature_sample_layers=feature_sample_layers,
)
def load_weights(self, weights: Iterable[Tuple[str,
torch.Tensor]]) -> Set[str]:
def load_weights(self, weights: Iterable[tuple[str,
torch.Tensor]]) -> set[str]:
stacked_params_mapping = [
# (param_name, shard_name, shard_id)
("qkv_proj", "q_proj", "q"),
@@ -489,7 +490,7 @@ class SiglipVisionModel(nn.Module):
("qkv_proj", "v_proj", "v"),
]
params_dict = dict(self.named_parameters())
loaded_params: Set[str] = set()
loaded_params: set[str] = set()
layer_count = len(self.vision_model.encoder.layers)
for name, loaded_weight in weights: