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Fix: local variable issue. (#9255)
### What problem does this PR solve? #9227 ### Type of change - [x] Bug Fix (non-breaking change which fixes an issue)
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@ -543,6 +543,7 @@ class GeminiCV(Base):
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else:
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else:
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yield 0
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yield 0
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class NvidiaCV(Base):
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class NvidiaCV(Base):
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_FACTORY_NAME = "NVIDIA"
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_FACTORY_NAME = "NVIDIA"
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@ -420,7 +420,6 @@ def init_kb(row, vector_size: int):
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return settings.docStoreConn.createIdx(idxnm, row.get("kb_id", ""), vector_size)
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return settings.docStoreConn.createIdx(idxnm, row.get("kb_id", ""), vector_size)
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@timeout(60*20)
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async def embedding(docs, mdl, parser_config=None, callback=None):
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async def embedding(docs, mdl, parser_config=None, callback=None):
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if parser_config is None:
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if parser_config is None:
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parser_config = {}
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parser_config = {}
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@ -441,10 +440,15 @@ async def embedding(docs, mdl, parser_config=None, callback=None):
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tts = np.concatenate([vts for _ in range(len(tts))], axis=0)
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tts = np.concatenate([vts for _ in range(len(tts))], axis=0)
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tk_count += c
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tk_count += c
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@timeout(5)
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def batch_encode(txts):
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nonlocal mdl
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return mdl.encode([truncate(c, mdl.max_length-10) for c in txts])
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cnts_ = np.array([])
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cnts_ = np.array([])
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for i in range(0, len(cnts), EMBEDDING_BATCH_SIZE):
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for i in range(0, len(cnts), EMBEDDING_BATCH_SIZE):
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async with embed_limiter:
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async with embed_limiter:
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vts, c = await trio.to_thread.run_sync(lambda: mdl.encode([truncate(c, mdl.max_length-10) for c in cnts[i: i + EMBEDDING_BATCH_SIZE]]))
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vts, c = await trio.to_thread.run_sync(lambda: batch_encode(cnts[i: i + EMBEDDING_BATCH_SIZE]))
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if len(cnts_) == 0:
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if len(cnts_) == 0:
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cnts_ = vts
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cnts_ = vts
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else:
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else:
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