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Chage torch import to conditional import

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This commit is contained in:
Marko Henning 2025-08-21 13:19:24 +02:00
parent 6663fc3a6c
commit b3de3295d6
1 changed files with 8 additions and 5 deletions
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13
backend/open_webui/routers/retrieval.py
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@ -4,7 +4,6 @@ import mimetypes
import os
import shutil
import asyncio
import torch
import uuid
from datetime import datetime
@ -287,8 +286,10 @@ async def update_embedding_config(
request.app.state.EMBEDDING_FUNCTION = None
import gc
gc.collect()
if torch.cuda.is_available():
torch.cuda.empty_cache()
if DEVICE_TYPE == 'cuda':
import torch
if torch.cuda.is_available():
torch.cuda.empty_cache()
try:
request.app.state.config.RAG_EMBEDDING_ENGINE = form_data.embedding_engine
request.app.state.config.RAG_EMBEDDING_MODEL = form_data.embedding_model
@ -820,8 +821,10 @@ async def update_rag_config(
request.app.state.RERANKING_FUNCTION = None
import gc
gc.collect()
if torch.cuda.is_available():
torch.cuda.empty_cache()
if DEVICE_TYPE == 'cuda':
import torch
if torch.cuda.is_available():
torch.cuda.empty_cache()
request.app.state.config.RAG_RERANKING_ENGINE = (
form_data.RAG_RERANKING_ENGINE
if form_data.RAG_RERANKING_ENGINE is not None