russell@unturf.com
80b26e82b6
vllm-0001: punica_wrapper/utils.py convert_mapping() calls lora_index_to_id.index(x) per token in batch — O(B*L) where B=batch_size, L=loaded_loras. Code has "TODO index can be slow" comment. Fix: pre-build dict for O(1) lookup. 7x at B=2000/L=64. Ollama: all slices.Contains on bounded slices (1-8 items). LangChain: orchestration code, all membership bounded by k param.
28 lines
1.1 KiB
Diff
28 lines
1.1 KiB
Diff
--- a/vllm/lora/punica_wrapper/utils.py
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+++ b/vllm/lora/punica_wrapper/utils.py
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@@ -86,15 +86,18 @@
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embeddings_indices).
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"""
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index_mapping_indices: list[int] = list(mapping.index_mapping).copy()
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embedding_indices = index_mapping_indices.copy()
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lora_indices = index_mapping_indices.copy()
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+ # Pre-build reverse lookup: lora_id -> position in lora_index_to_id
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+ # Replaces O(L) list.index() with O(1) dict lookup per token
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+ id_to_index: dict[int, int] = {
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+ v: i for i, v in enumerate(lora_index_to_id) if v is not None and v > 0
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+ }
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+
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prompt_mapping: list[int] = [
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- lora_index_to_id.index(x) if x > 0 else -1 for x in mapping.prompt_mapping
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+ id_to_index[x] if x > 0 else -1 for x in mapping.prompt_mapping
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]
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lora_idx = None
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for i in range(len(index_mapping_indices)):
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- # TODO index can be slow. optimize
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lora_idx = (
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- lora_index_to_id.index(index_mapping_indices[i])
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+ id_to_index[index_mapping_indices[i]]
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if index_mapping_indices[i] > 0
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else -1
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)
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