使用Mac运行Langchain-Chatchat几轮对话之后内存占用一直增加 #2964
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使用了PyTorch版本为: 操作系统:macOS-14.3-arm64-arm-64bit. |
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Replies: 4 comments
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🤖 嘿,@southkorea2013!再次遇见你真是太好了,希望一切都好! 您的问题可能是由于在每轮对话结束后,用于存储对话历史的内存( 在您提供的代码中,当提供 memory = ConversationBufferDBMemory(conversation_id=conversation_id,
llm=model,
message_limit=history_len) 然而,对话结束后并没有代码来清除或释放这个内存。如果内存管理不当,这可能导致内存泄漏。 要解决这个问题,您可以在每轮对话结束后添加代码来清除或释放 finally:
if memory is not None:
memory.clear() # 假设ConversationBufferDBMemory中有一个clear方法 请注意,清除或释放内存的实际方法取决于 另外,根据Langchain-Chatchat代码库中 因此,您可能需要在 以上是我对您问题的理解和建议,如果有任何不准确或需要进一步解释的地方,请随时告诉我。 SourcesThis response is meant to be useful and save you time. It is not meant to be a precise solution, but rather a starting point for your own research. Help me be more useful! Please leave a 👍 if this is helpful and 👎 if it is irrelevant. If you want to continue the conversation, start your reply with @dosu-bot. |
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关闭历史就不会了 |
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请问如何关闭历史 |
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关闭历史是在web UI 界面 点击“清楚对话”操作吗 |
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关闭历史就不会了