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[Bugfix] gemma[2,3] interleaved attention when sliding window is disabled (#17180)

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Signed-off-by: Chen Zhang <zhangch99@outlook.com>
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Chen Zhang 2025-04-26 10:53:51 +08:00 committed by GitHub
parent c53e0730cb
commit 8de2901fea
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3 changed files with 15 additions and 11 deletions
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4
vllm/model_executor/models/gemma2.py
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@ -145,8 +145,8 @@ class Gemma2Attention(nn.Module):
# reference:
# https://github.com/huggingface/transformers/blob/54be2d7ae87e873482b984cc956e165ca4dc0ba3/src/transformers/models/gemma2/modeling_gemma2.py#L312 # noqa
layer_idx = extract_layer_index(prefix)
use_sliding_window = (layer_idx % 2 == 0 and
config.interleaved_sliding_window is not None)
use_sliding_window = (layer_idx % 2 == 0 and getattr(
config, "interleaved_sliding_window", None) is not None)
sliding_window = config.interleaved_sliding_window if \
use_sliding_window else None
self.attn = Attention(self.num_heads,

4
vllm/model_executor/models/gemma3.py
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@ -146,7 +146,9 @@ class Gemma3Attention(nn.Module):
# TODO(woosuk): Add reference to the original HF implementation.
layer_idx = extract_layer_index(prefix)
self.is_sliding = bool((layer_idx + 1) % config.sliding_window_pattern)
self.is_sliding = (getattr(
config, "interleaved_sliding_window", None) is not None and bool(
(layer_idx + 1) % config.sliding_window_pattern))
# Initialize the rotary embedding.
if self.is_sliding:
# Local attention. Override the values in config.json.

18
vllm/model_executor/models/gemma3_mm.py
View File

@ -478,7 +478,8 @@ class Gemma3ForConditionalGeneration(nn.Module, SupportsMultiModal, SupportsPP,
self.config = config
self.quant_config = quant_config
self.multimodal_config = multimodal_config
self.sliding_window = config.text_config.interleaved_sliding_window
self.sliding_window = getattr(config.text_config,
"interleaved_sliding_window", None)
self.vision_tower = SiglipVisionModel(config.vision_config,
quant_config,
@ -680,13 +681,14 @@ class Gemma3ForConditionalGeneration(nn.Module, SupportsMultiModal, SupportsPP,
global_attn_mask = torch.where(img_mask == 2, 0, global_attn_mask)
global_attn_masks.append(global_attn_mask)
# Create a local causal mask with sliding window (1024).
local_attn_mask = torch.ones_like(global_attn_mask)
local_attn_mask = torch.tril(local_attn_mask,
diagonal=-self.sliding_window)
local_attn_mask = torch.where(local_attn_mask == 0,
global_attn_mask, float("-inf"))
local_attn_masks.append(local_attn_mask)
if self.sliding_window is not None:
# Create a local causal mask with sliding window (1024).
local_attn_mask = torch.ones_like(global_attn_mask)
local_attn_mask = torch.tril(local_attn_mask,
diagonal=-self.sliding_window)
local_attn_mask = torch.where(local_attn_mask == 0,
global_attn_mask, float("-inf"))
local_attn_masks.append(local_attn_mask)
kwargs["global_attn_masks"] = global_attn_masks
kwargs["local_attn_masks"] = local_attn_masks
return kwargs