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[Bugfix][ROCm] Fix Unsupported attention metadata type for speculative decoding in eagle.py
#31714
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While this change correctly adds support for
RocmAttentionMetadata, it appears that another ROCm attention backend,ROCM_AITER_UNIFIED_ATTN, might have been missed. This backend likely usesRocmAiterUnifiedAttentionMetadata, which is not included inrocm_typesand could lead to a similarValueErrorduring speculative decoding. To ensure a more comprehensive fix, I recommend addingRocmAiterUnifiedAttentionMetadatato the list of allowed types.Uh oh!
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RocmAiterUnifiedAttentionMetadatadoes not exist.RocmAiterUnifiedAttentionBackendshares the same metadata asRocmAttentionMetadataand the lm_eval scores are as follow:run vllm serve command:
VLLM_USE_V1=1 \ VLLM_ROCM_USE_AITER=1 VLLM_ATTENTION_BACKEND=ROCM_AITER_UNIFIED_ATTN vllm serve meta-llama/Llama-3.3-70B-Instruct -tp 4 --speculative-config '{"model": "yuhuili/EAGLE3-LLaMA3.3-Instruct-70B", "num_speculative_tokens": 3, "method":"eagle3", "draft_tensor_parallel_size":1}'