langchain 问题与/v0.2/docs/tutorials/rag/相关,

nmpmafwu 于 4个月前发布在其他

关注(0)|答案(2)|浏览(49)

URL

https://python.langchain.com/v0.2/docs/tutorials/rag/

待办事项清单

我为这个问题添加了一个非常描述性的标题。
如果适用，我包含了一个指向我参考的文档页面的链接。

当前文档的问题：

错误显示llm接收到的数据，它的数据类型没有属性：shape;

from langchain.chains import create_retrieval_chain
from langchain.chains.combine_documents import create_stuff_documents_chain
from langchain_core.prompts import ChatPromptTemplate

system_prompt = (
    "You are an assistant for question-answering tasks. "
    "Use the following pieces of retrieved context to answer "
    "the question. If you don't know the answer, say that you "
    "don't know. Use three sentences maximum and keep the "
    "answer concise."
    "\n\n"
    "{context}"
)

prompt = ChatPromptTemplate.from_messages(
    [
        ("system", system_prompt),
        ("human", "{input}"),
    ]
)

question_answer_chain = create_stuff_documents_chain(llm, prompt)
rag_chain = create_retrieval_chain(retriever, question_answer_chain)

response = rag_chain.invoke({"input": "What is Task Decomposition?"})
print(response["answer"])

就像这样

File "/home/desir/PycharmProjects/pdf_parse/rag/create_stuff_chain.py", line 28, in <module>
    response = rag_chain.invoke({"input": "文章主旨"})
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/desir/soft/anaconda3/envs/pdf_parse/lib/python3.11/site-packages/langchain_core/runnables/base.py", line 4573, in invoke
    return self.bound.invoke(
           ^^^^^^^^^^^^^^^^^^
  File "/home/desir/soft/anaconda3/envs/pdf_parse/lib/python3.11/site-packages/langchain_core/runnables/base.py", line 2504, in invoke
    input = step.invoke(input, config)
            ^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/desir/soft/anaconda3/envs/pdf_parse/lib/python3.11/site-packages/langchain_core/runnables/passthrough.py", line 469, in invoke
    return self._call_with_config(self._invoke, input, config, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/desir/soft/anaconda3/envs/pdf_parse/lib/python3.11/site-packages/langchain_core/runnables/base.py", line 1598, in _call_with_config
    context.run(
  File "/home/desir/soft/anaconda3/envs/pdf_parse/lib/python3.11/site-packages/langchain_core/runnables/config.py", line 380, in call_func_with_variable_args
    return func(input, **kwargs)  # type: ignore[call-arg]
           ^^^^^^^^^^^^^^^^^^^^^
  File "/home/desir/soft/anaconda3/envs/pdf_parse/lib/python3.11/site-packages/langchain_core/runnables/passthrough.py", line 456, in _invoke
    **self.mapper.invoke(
      ^^^^^^^^^^^^^^^^^^^
  File "/home/desir/soft/anaconda3/envs/pdf_parse/lib/python3.11/site-packages/langchain_core/runnables/base.py", line 3149, in invoke
    output = {key: future.result() for key, future in zip(steps, futures)}
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/desir/soft/anaconda3/envs/pdf_parse/lib/python3.11/site-packages/langchain_core/runnables/base.py", line 3149, in <dictcomp>
    output = {key: future.result() for key, future in zip(steps, futures)}
                   ^^^^^^^^^^^^^^^
  File "/home/desir/soft/anaconda3/envs/pdf_parse/lib/python3.11/concurrent/futures/_base.py", line 456, in result
    return self.__get_result()
           ^^^^^^^^^^^^^^^^^^^
  File "/home/desir/soft/anaconda3/envs/pdf_parse/lib/python3.11/concurrent/futures/_base.py", line 401, in __get_result
    raise self._exception
  File "/home/desir/soft/anaconda3/envs/pdf_parse/lib/python3.11/concurrent/futures/thread.py", line 58, in run
    result = self.fn(*self.args, **self.kwargs)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/desir/soft/anaconda3/envs/pdf_parse/lib/python3.11/site-packages/langchain_core/runnables/base.py", line 4573, in invoke
    return self.bound.invoke(
           ^^^^^^^^^^^^^^^^^^
  File "/home/desir/soft/anaconda3/envs/pdf_parse/lib/python3.11/site-packages/langchain_core/runnables/base.py", line 2504, in invoke
    input = step.invoke(input, config)
            ^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/desir/soft/anaconda3/envs/pdf_parse/lib/python3.11/site-packages/langchain_core/runnables/base.py", line 3976, in invoke
    return self._call_with_config(
           ^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/desir/soft/anaconda3/envs/pdf_parse/lib/python3.11/site-packages/langchain_core/runnables/base.py", line 1598, in _call_with_config
    context.run(
  File "/home/desir/soft/anaconda3/envs/pdf_parse/lib/python3.11/site-packages/langchain_core/runnables/config.py", line 380, in call_func_with_variable_args
    return func(input, **kwargs)  # type: ignore[call-arg]
           ^^^^^^^^^^^^^^^^^^^^^
  File "/home/desir/soft/anaconda3/envs/pdf_parse/lib/python3.11/site-packages/langchain_core/runnables/base.py", line 3844, in _invoke
    output = call_func_with_variable_args(
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/desir/soft/anaconda3/envs/pdf_parse/lib/python3.11/site-packages/langchain_core/runnables/config.py", line 380, in call_func_with_variable_args
    return func(input, **kwargs)  # type: ignore[call-arg]
           ^^^^^^^^^^^^^^^^^^^^^
  File "/home/desir/soft/anaconda3/envs/pdf_parse/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/desir/soft/anaconda3/envs/pdf_parse/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
    return forward_call(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/desir/soft/anaconda3/envs/pdf_parse/lib/python3.11/site-packages/transformers/models/mistral/modeling_mistral.py", line 1139, in forward
    outputs = self.model(
              ^^^^^^^^^^^
  File "/home/desir/soft/anaconda3/envs/pdf_parse/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/desir/soft/anaconda3/envs/pdf_parse/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
    return forward_call(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/desir/soft/anaconda3/envs/pdf_parse/lib/python3.11/site-packages/transformers/models/mistral/modeling_mistral.py", line 937, in forward
    batch_size, seq_length = input_ids.shape
                             ^^^^^^^^^^^^^^^

AttributeError: 'ChatPromptValue' 对象没有属性 'shape'
我的模型是从本地磁盘加载的

import os
import time
import gc
import torch
print(torch.version.cuda)
gc.collect()
torch.cuda.empty_cache()
from transformers import AutoTokenizer, AutoModelForCausalLM
import torch
os.environ['HTTP_PROXY'] = 'http://127.0.0.1:7890'
os.environ['HTTPS_PROXY'] = 'http://127.0.0.1:7890'
cache_dir = os.path.expanduser("~/.mistral")
cache_mistral_tokenizer = AutoTokenizer.from_pretrained(pretrained_model_name_or_path=cache_dir)
cache_mistral_model = AutoModelForCausalLM.from_pretrained(cache_dir)