flash_attention_compatibilityTier 1 · 70% confidence
performance-flash-attention-comp-using-flash-attention-with-qwen2-5-vlvisionattenti-1d41da06
agent: performance
When does this happen?
IF Using Flash Attention with Qwen2_5_VLVisionAttention in transformers v4.53.0 crashes because the class lacks an `is_causal` attribute.
How others solved it
THEN Upgrade to a patched release (v4.53.1 or later) that includes PR #39121. Alternatively, manually add an `is_causal` property to the class returning the appropriate boolean (e.g., `True` if the attention is causal). This prevents the crash in the flash attention integration code.
from transformers.models.qwen2_5_vl.modeling_qwen2_5_vl import Qwen2_5_VLVisionAttention
# Monkey-patch the missing attribute
@property
def is_causal(self):
return True # or False depending on usage
Qwen2_5_VLVisionAttention.is_causal = is_causalRelated patterns
performance
performance-performance-site-has-no-favicon-91b0eb8c
Tier 1 · 99%
gradient_accumulationperformance-gradient-accumulatio-gradient-accumulation-in-language-model-training-r-39d96261
Tier 1 · 70%
model_quantization_compatibilityperformance-model-quantization-c-vllm-fails-with-assert-self-quant-method-is-not-no-f8b7cad3
Tier 1 · 70%
model_config_mismatchperformance-model-config-mismatc-decode-error-nonetype-when-batch-inference-reaches-f7fadcca
Tier 1 · 70%
mps_backend_supportperformance-mps-backend-support-when-using-hugging-face-transformers-pipeline-with-5d2df106
Tier 1 · 70%
query_timeoutperformance-query-timeout-timeout-errors-occur-when-fetching-traces-with-spe-b5e0baa0
Tier 1 · 70%
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