[Question]: taskflow无法使用document_intelligent

[Lem0nTe4]

请提出你的问题

document_intelligent前段时间还能使用，现在不知道怎么回事用不了了，且检索不到op_info_ptr和one_shot的相关信息 运行代码 from pprint import pprint from paddlenlp import Taskflow

docprompt = Taskflow("document_intelligence") pprint(docprompt([{"doc": "1.jpg","prompt": ["发票号"]}]))

报错 Traceback (most recent call last): File "E:\pycharmproject\PaddleNLP\applications\document_intelligence\test.py", line 5, in docprompt = Taskflow("document_intelligence") File "E:\pycharmproject\PaddleNLP\paddlenlp\taskflow\taskflow.py", line 809, in init self.task_instance = task_class( File "E:\pycharmproject\PaddleNLP\paddlenlp\taskflow\document_intelligence.py", line 68, in init self._get_inference_model() File "E:\pycharmproject\PaddleNLP\paddlenlp\taskflow\task.py", line 372, in _get_inference_model self._prepare_static_mode() File "E:\pycharmproject\PaddleNLP\paddlenlp\taskflow\task.py", line 227, in _prepare_static_mode self.predictor = paddle.inference.create_predictor(self._config) RuntimeError: (NotFound) Operator (one_hot) is not registered. [Hint: op_info_ptr should not be null.] (at ..\paddle/fluid/framework/op_info.h:152)

相关版本信息 paddlenlp 2.6.1 paddleocr 2.7.0.3 paddlepaddle-gpu 2.6.0 run_check运行无异常 Running verify PaddlePaddle program ... I0222 16:41:07.971678 26508 program_interpreter.cc:212] New Executor is Running. W0222 16:41:07.972679 26508 gpu_resources.cc:119] Please NOTE: device: 0, GPU Compute Capability: 8.6, Driver API Version: 12.2, Runtime API Version: 11.8 W0222 16:41:07.987682 26508 gpu_resources.cc:164] device: 0, cuDNN Version: 8.9. I0222 16:41:10.595052 26508 interpreter_util.cc:624] Standalone Executor is Used. PaddlePaddle works well on 1 GPU. PaddlePaddle is installed successfully! Let's start deep learning with PaddlePaddle now.

[wawltor]

看看paddle版本能不能进行回退老版本，看起来是新版本对有些op不支持。

[Lem0nTe4]

看看paddle版本能不能进行回退老版本，看起来是新版本对有些op不支持。

还真是，我把paddle版本退到了2.5.0，可以使用了，因为官方文档给的最低是2.6.0，重装环境重装包怎么也没想到是这个问题，感谢

[QQbbla]

看看paddle版本能不能进行回退老版本，看起来是新版本对有些op不支持。

还真是，我把paddle版本退到了2.5.0，可以使用了，因为官方文档给的最低是2.6.0，重装环境重装包怎么也没想到是这个问题，感谢

回退倒2.5之后会出现别的error，pipe = DocPipeline(preprocessor=preprocessor, docreader=docprompter) TypeError: init() got an unexpected keyword argument 'docreader' how to solve it?

[w5688414]

请参考下面的环境：

absl-py==2.1.0
aiofiles==23.2.1
aiohttp==3.9.3
aiosignal==1.3.1
aistudio-sdk==0.1.7
altair==5.2.0
annotated-types==0.6.0
antlr4-python3-runtime==4.9.3
anyio==4.3.0
astor==0.8.1
asttokens==2.4.1
async-timeout==4.0.3
attrs==23.2.0
audioread==3.0.1
Babel==2.14.0
backcall==0.2.0
bce-python-sdk==0.9.4
blinker==1.7.0
bokeh==3.1.1
boltons==23.1.1
Bottleneck==1.3.8
braceexpand==0.1.7
certifi==2024.2.2
cffi==1.16.0
charset-normalizer==3.3.2
click==8.1.7
colorama==0.4.6
coloredlogs==15.0.1
colorlog==6.8.2
contourpy==1.1.1
cycler==0.12.1
Cython==3.0.8
datasets==2.17.1
decorator==5.1.1
dill==0.3.4
Distance==0.1.3
easydict==1.12
editdistance==0.8.1
einops==0.7.0
exceptiongroup==1.2.0
executing==2.0.1
fastapi==0.110.0
ffmpy==0.3.2
filelock==3.13.1
Flask==3.0.2
Flask-Babel==2.0.0
flatbuffers==23.5.26
fonttools==4.49.0
frozenlist==1.4.1
fsspec==2023.10.0
ftfy==6.1.3
future==1.0.0
g2p-en==2.1.0
g2pM==0.1.2.5
gradio==4.19.2
gradio_client==0.10.1
gunicorn==21.2.0
h11==0.14.0
h5py==3.10.0
httpcore==1.0.4
httpx==0.27.0
huggingface-hub==0.21.1
humanfriendly==10.0
HyperPyYAML==1.2.2
idna==3.6
importlib-metadata==7.0.1
importlib_resources==6.1.2
inflect==7.0.0
intervaltree==3.1.0
ipython==8.12.3
itsdangerous==2.1.2
jedi==0.19.1
jieba==0.42.1
Jinja2==3.1.3
joblib==1.3.2
jsonlines==4.0.0
jsonschema==4.21.1
jsonschema-specifications==2023.12.1
kaldiio==2.18.0
kiwisolver==1.4.5
librosa==0.9.2
llvmlite==0.41.1
loguru==0.7.2
lxml==5.1.0
markdown-it-py==3.0.0
MarkupSafe==2.1.5
matplotlib==3.7.5
matplotlib-inline==0.1.6
mdurl==0.1.2
mido==1.3.2
mock==5.1.0
mpmath==1.3.0
multidict==6.0.5
multiprocess==0.70.12.2
nara-wpe==0.0.9
nltk==3.8.1
note-seq==0.0.5
numba==0.58.1
numpy==1.22.0
omegaconf==2.3.0
onnx==1.15.0
onnxruntime==1.17.1
OpenCC==1.1.7
opencc-python-reimplemented==0.1.7
opencv-python==4.6.0.66
opt-einsum==3.3.0
orjson==3.9.15
packaging==23.2
paddle-bfloat==0.1.7
paddle2onnx==1.1.0
paddleaudio==1.1.0
paddlefsl==1.1.0
paddlehub==2.4.0
paddlenlp==2.5.2
paddlepaddle-gpu==2.4.1.post117
paddlesde==0.2.5
paddleslim==2.6.0
paddlespeech==1.4.1
paddlespeech-ctcdecoders==0.2.1
paddlespeech-feat==0.1.0
pandas==2.0.3
parameterized==0.9.0
parso==0.8.3
pathos==0.2.8
pattern_singleton==1.2.0
pexpect==4.9.0
pickleshare==0.7.5
pillow==10.2.0
pkgutil_resolve_name==1.3.10
platformdirs==4.2.0
pooch==1.8.1
portalocker==2.8.2
pox==0.3.4
ppdiffusers==0.19.4
ppft==1.7.6.8
praatio==5.1.1
pretty_midi==0.2.10
prettytable==3.10.0
prompt-toolkit==3.0.43
protobuf==3.20.0
psutil==5.9.8
ptyprocess==0.7.0
pure-eval==0.2.2
pyarrow==15.0.0
pyarrow-hotfix==0.6
pybind11==2.11.1
pycparser==2.21
pycryptodome==3.20.0
pydantic==2.6.3
pydantic_core==2.16.3
pydub==0.25.1
Pygments==2.17.2
pygtrie==2.5.0
pyparsing==3.1.1
pypinyin==0.44.0
pypinyin-dict==0.7.0
python-dateutil==2.8.2
python-multipart==0.0.9
pytz==2024.1
pyworld==0.3.4
PyYAML==6.0.1
pyzmq==25.1.2
rarfile==4.1
referencing==0.33.0
regex==2023.12.25
requests==2.31.0
requests-mock==1.11.0
resampy==0.4.2
rich==13.7.0
rpds-py==0.18.0
ruamel.yaml==0.18.6
ruamel.yaml.clib==0.2.8
ruff==0.2.2
sacrebleu==2.4.0
safetensors==0.4.2
scikit-learn==1.3.2
scipy==1.10.1
semantic-version==2.10.0
sentencepiece==0.2.0
seqeval==1.2.2
shellingham==1.5.4
six==1.16.0
sniffio==1.3.1
sortedcontainers==2.4.0
soundfile==0.12.1
stack-data==0.6.3
starlette==0.36.3
swig==4.2.1
sympy==1.12
tabulate==0.9.0
TextGrid==1.5
threadpoolctl==3.3.0
timer==0.2.2
ToJyutping==0.2.3
tomlkit==0.12.0
tool-helpers==0.1.1
toolz==0.12.1
tornado==6.4
tqdm==4.66.2
traitlets==5.14.1
trampoline==0.1.2
typeguard==2.13.3
typer==0.9.0
typing_extensions==4.10.0
tzdata==2024.1
urllib3==1.26.18
uvicorn==0.27.1
visualdl==2.4.2
wcwidth==0.2.13
webrtcvad==2.0.10
websockets==11.0.3
Werkzeug==3.0.1
xxhash==3.4.1
xyzservices==2023.10.1
yacs==0.1.8
yarl==1.9.4
zhon==2.0.2
zipp==3.17.0

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