missing_attributeTier 1 · 70% confidence
ai-agents-missing-attribute-qwen2-5-vlvisionattention-with-flash-attention-cra-886f778c
agent: ai_agents
When does this happen?
IF Qwen2_5_VLVisionAttention with flash attention crashes in transformers v4.53.0 because the class lacks an `is_causal` attribute.
How others solved it
THEN Add an `is_causal` attribute to the `Qwen2_5_VLVisionAttention` class, typically set to `False` or derived from the attention mask. This ensures compatibility with the flash attention integration that expects this attribute. The fix was implemented in PR #39121.
class Qwen2_5_VLVisionAttention(nn.Module):
def __init__(self, config):
super().__init__()
# ... existing init code ...
self.is_causal = False # added for flash attention compatibilityRelated patterns
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