版本信息：
Python ： 3.10.9 (原打算用3.11.1版本，后来发现飞桨最高支持到3.10版本)
paddlepaddle： 2.4.1
paddlenlp： 2.4.1 （最新版是2.5.0，由于一直报错，降级到2.4.1）
seqeval： 1.2.2
测试过程：
准备学习一下paddlenlp 于是按照官方的说明进行安装，使用官方提供的代码进行测试，测试代码：
信息抽取from pprint import pprintfrom paddlenlp import Taskflow schema = ['时间', '选手', '赛事名称'] # Define the schema for entity extraction ie = Taskflow('information_extraction', schema=schema) pprint(ie("2月8日上午北京冬奥会自由式滑雪女子大跳台决赛中中国选手谷爱凌以188.25分获得金牌！"))如果正常执行，应该会输出下面信息：
[{'时间': [{'end': 6, 'probability': 0.9857378532924486, 'start': 0, 'text': '2月8日上午'}], '赛事名称': [{'end': 23, 'probability': 0.8503089953268272, 'start': 6, 'text': '北京冬奥会自由式滑雪女子大跳台决赛'}], '选手': [{'end': 31, 'probability': 0.8981548639781138, 'start': 28, 'text': '谷爱凌'}]}]错误信息：
但是事情并灭有很顺利，直接报错了，错误提示信息如下：
E:\pytodo\venv\lib\site-packages\_distutils_hack\__init__.py:33: UserWarning: Setuptools is replacing distutils. warnings.warn("Setuptools is replacing distutils.")Traceback (most recent call last): File "e:\pytodo\test01.py", line 4, in from paddlenlp import Taskflow File "E:\pytodo\venv\lib\site-packages\paddlenlp\__init__.py", line 30, in File "E:\pytodo\venv\lib\site-packages\paddlenlp\metrics\__init__.py", line 16, in from .chunk import ChunkEvaluator File "E:\pytodo\venv\lib\site-packages\paddlenlp\metrics\chunk.py", line 20, in from seqeval.metrics.sequence_labeling import get_entitiesModuleNotFoundError: No module named 'seqeval' 根据提示，重新手动安装“seqeval”库，pip install seqeval ，安装默认最新版本的1.2.2 ，安装过程很顺利，也没有错误，但是再次运行，还是包同样错误。
查了一下原因，根据github的提示，应该是 seqeval 要安装1.2.1 版本的，于是手动进行安装。
然而，pip install seqeval ==1.2.1 进行安装，有报错了……
venv) PS E:\pytodo> pip install seqeval==1.2.1Looking in indexes: https://mirrors.aliyun.com/pypi/simple/, https://pypi.tuna.tsinghua.edu.cn/simple/, https://pypi.douban.com/simple/, https://mirrors.ustc.edu.cn/pypi/Collecting seqeval==1.2.1 Using cached https://pypi.doubanio.com/packages/c4/47/f85f522f1f2532ca650474088e4024a9f52d524379bff058eaadf53cb663/seqeval-1.2.1.tar.gz (43 kB) Preparing metadata (setup.py) ... doneCollecting numpy==1.19.2 Using cached https://pypi.doubanio.com/packages/bf/e8/15aea783ea72e2d4e51e3ec365e8dc4a1a32c9e5eb3a6d695b0d58e67cdd/numpy-1.19.2.zip (7.3 MB) Installing build dependencies ... done Getting requirements to build wheel ... done Preparing metadata (pyproject.toml) ... error error: subprocess-exited-with-error × Preparing metadata (pyproject.toml) did not run successfully. │ exit code: 1 ╰─> [257 lines of output] Running from numpy source directory. setup.py:470: UserWarning: Unrecognized setuptools command, proceeding with generating Cython sources and expanding templates run_build = parse_setuppy_commands() Processing numpy/random\_bounded_integers.pxd.in Processing numpy/random\bit_generator.pyx Processing numpy/random\mtrand.pyx Processing numpy/random\_bounded_integers.pyx.in Processing numpy/random\_common.pyx Processing numpy/random\_generator.pyx Processing numpy/random\_mt19937.pyx Processing numpy/random\_pcg64.pyx Processing numpy/random\_philox.pyx Processing numpy/random\_sfc64.pyx Cythonizing sources blas_opt_info: blas_mkl_info: No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils customize MSVCCompiler libraries mkl_rt not found in ['E:\\pytodo\\venv\\lib', 'C:\\'] NOT AVAILABLE blis_info: libraries blis not found in ['E:\\pytodo\\venv\\lib', 'C:\\'] NOT AVAILABLE openblas_info: libraries openblas not found in ['E:\\pytodo\\venv\\lib', 'C:\\'] get_default_fcompiler: matching types: '['gnu', 'intelv', 'absoft', 'compaqv', 'intelev', 'gnu95', 'g95', 'intelvem', 'intelem', 'flang']' customize GnuFCompiler Could not locate executable g77 Could not locate executable f77 customize IntelVisualFCompiler Could not locate executable ifort Could not locate executable ifl customize AbsoftFCompiler Could not locate executable f90 customize CompaqVisualFCompiler Could not locate executable DF customize IntelItaniumVisualFCompiler Could not locate executable efl customize Gnu95FCompiler Could not locate executable gfortran Could not locate executable f95 customize G95FCompiler Could not locate executable g95 customize IntelEM64VisualFCompiler customize IntelEM64TFCompiler Could not locate executable efort Could not locate executable efc customize PGroupFlangCompiler Could not locate executable flang don't know how to compile Fortran code on platform 'nt' NOT AVAILABLE atlas_3_10_blas_threads_info: Setting PTATLAS=ATLAS libraries tatlas not found in ['E:\\pytodo\\venv\\lib', 'C:\\'] NOT AVAILABLE atlas_3_10_blas_info: libraries satlas not found in ['E:\\pytodo\\venv\\lib', 'C:\\'] NOT AVAILABLE atlas_blas_threads_info: Setting PTATLAS=ATLAS libraries ptf77blas,ptcblas,atlas not found in ['E:\\pytodo\\venv\\lib', 'C:\\'] NOT AVAILABLE atlas_blas_info: libraries f77blas,cblas,atlas not found in ['E:\\pytodo\\venv\\lib', 'C:\\'] NOT AVAILABLE accelerate_info: NOT AVAILABLE C:\Users\admin\AppData\Local\Temp\pip-install-_drm9w48\numpy_e4ace71c56d54bf7af156925b951ce98\numpy\distutils\system_info.py:1914: UserWarning: Optimized (vendor) Blas libraries are not found. Falls back to netlib Blas library which has worse performance. A better performance should be easily gained by switching Blas library. if self._calc_info(blas): blas_info: libraries blas not found in ['E:\\pytodo\\venv\\lib', 'C:\\'] NOT AVAILABLE C:\Users\admin\AppData\Local\Temp\pip-install-_drm9w48\numpy_e4ace71c56d54bf7af156925b951ce98\numpy\distutils\system_info.py:1914: UserWarning: Blas (http://www.netlib.org/blas/) libraries not found. Directories to search for the libraries can be specified in the numpy/distutils/site.cfg file (section [blas]) or by setting the BLAS environment variable. if self._calc_info(blas): blas_src_info: NOT AVAILABLE C:\Users\admin\AppData\Local\Temp\pip-install-_drm9w48\numpy_e4ace71c56d54bf7af156925b951ce98\numpy\distutils\system_info.py:1914: UserWarning: Blas (http://www.netlib.org/blas/) sources not found. Directories to search for the sources can be specified in the numpy/distutils/site.cfg file (section [blas_src]) or by setting the BLAS_SRC environment variable. if self._calc_info(blas): NOT AVAILABLE non-existing path in 'numpy\\distutils': 'site.cfg' lapack_opt_info: lapack_mkl_info: libraries mkl_rt not found in ['E:\\pytodo\\venv\\lib', 'C:\\'] NOT AVAILABLE openblas_lapack_info: libraries openblas not found in ['E:\\pytodo\\venv\\lib', 'C:\\'] NOT AVAILABLE openblas_clapack_info: libraries openblas,lapack not found in ['E:\\pytodo\\venv\\lib', 'C:\\'] NOT AVAILABLE flame_info: libraries flame not found in ['E:\\pytodo\\venv\\lib', 'C:\\'] NOT AVAILABLE atlas_3_10_threads_info: Setting PTATLAS=ATLAS libraries lapack_atlas not found in E:\pytodo\venv\lib libraries tatlas,tatlas not found in E:\pytodo\venv\lib libraries lapack_atlas not found in C:\ libraries tatlas,tatlas not found in C:\ NOT AVAILABLE atlas_3_10_info: libraries lapack_atlas not found in E:\pytodo\venv\lib libraries satlas,satlas not found in E:\pytodo\venv\lib libraries lapack_atlas not found in C:\ libraries satlas,satlas not found in C:\ NOT AVAILABLE atlas_threads_info: Setting PTATLAS=ATLAS libraries lapack_atlas not found in E:\pytodo\venv\lib libraries ptf77blas,ptcblas,atlas not found in E:\pytodo\venv\lib libraries lapack_atlas not found in C:\ libraries ptf77blas,ptcblas,atlas not found in C:\ NOT AVAILABLE atlas_info: libraries lapack_atlas not found in E:\pytodo\venv\lib libraries f77blas,cblas,atlas not found in E:\pytodo\venv\lib libraries lapack_atlas not found in C:\ libraries f77blas,cblas,atlas not found in C:\ NOT AVAILABLE lapack_info: libraries lapack not found in ['E:\\pytodo\\venv\\lib', 'C:\\'] NOT AVAILABLE C:\Users\admin\AppData\Local\Temp\pip-install-_drm9w48\numpy_e4ace71c56d54bf7af156925b951ce98\numpy\distutils\system_info.py:1748: UserWarning: Lapack (http://www.netlib.org/lapack/) libraries not found. Directories to search for the libraries can be specified in the numpy/distutils/site.cfg file (section [lapack]) or by setting the LAPACK environment variable. return getattr(self, '_calc_info_{}'.format(name))() lapack_src_info: NOT AVAILABLE C:\Users\admin\AppData\Local\Temp\pip-install-_drm9w48\numpy_e4ace71c56d54bf7af156925b951ce98\numpy\distutils\system_info.py:1748: UserWarning: Lapack (http://www.netlib.org/lapack/) sources not found. Directories to search for the sources can be specified in the numpy/distutils/site.cfg file (section [lapack_src]) or by setting the LAPACK_SRC environment variable. return getattr(self, '_calc_info_{}'.format(name))() NOT AVAILABLE numpy_linalg_lapack_lite: FOUND: language = c define_macros = [('HAVE_BLAS_ILP64', None), ('BLAS_SYMBOL_SUFFIX', '64_')] C:\Users\admin\AppData\Local\Temp\pip-build-env-0uexikep\overlay\Lib\site-packages\setuptools\_distutils\dist.py:275: UserWarning: Unknown distribution option: 'define_macros' warnings.warn(msg) running dist_info running build_src build_src building py_modules sources creating build creating build\src.win-amd64-3.10 creating build\src.win-amd64-3.10\numpy creating build\src.win-amd64-3.10\numpy\distutils building library "npymath" sources Traceback (most recent call last): File "E:\pytodo\venv\lib\site-packages\pip\_vendor\pep517\in_process\_in_process.py", line 351, in main() File "E:\pytodo\venv\lib\site-packages\pip\_vendor\pep517\in_process\_in_process.py", line 333, in main json_out['return_val'] = hook(**hook_input['kwargs']) File "E:\pytodo\venv\lib\site-packages\pip\_vendor\pep517\in_process\_in_process.py", line 152, in prepare_metadata_for_build_wheel return hook(metadata_directory, config_settings) File "C:\Users\admin\AppData\Local\Temp\pip-build-env-0uexikep\overlay\Lib\site-packages\setuptools\build_meta.py", line 157, in prepare_metadata_for_build_wheel self.run_setup() File "C:\Users\admin\AppData\Local\Temp\pip-build-env-0uexikep\overlay\Lib\site-packages\setuptools\build_meta.py", line 248, in run_setup super(_BuildMetaLegacyBackend, File "C:\Users\admin\AppData\Local\Temp\pip-build-env-0uexikep\overlay\Lib\site-packages\setuptools\build_meta.py", line 142, in run_setup exec(compile(code, __file__, 'exec'), locals()) File "setup.py", line 499, in setup_package() File "setup.py", line 491, in setup_package setup(**metadata) File "C:\Users\admin\AppData\Local\Temp\pip-install-_drm9w48\numpy_e4ace71c56d54bf7af156925b951ce98\numpy\distutils\core.py", line 169, in setup return old_setup(**new_attr) File "C:\Users\admin\AppData\Local\Temp\pip-build-env-0uexikep\overlay\Lib\site-packages\setuptools\__init__.py", line 165, in setup return distutils.core.setup(**attrs) File "C:\Users\admin\AppData\Local\Temp\pip-build-env-0uexikep\overlay\Lib\site-packages\setuptools\_distutils\core.py", line 148, in setup dist.run_commands() File "C:\Users\admin\AppData\Local\Temp\pip-build-env-0uexikep\overlay\Lib\site-packages\setuptools\_distutils\dist.py", line 967, in run_commands self.run_command(cmd) File "C:\Users\admin\AppData\Local\Temp\pip-build-env-0uexikep\overlay\Lib\site-packages\setuptools\_distutils\dist.py", line 986, in run_command cmd_obj.run() File "C:\Users\admin\AppData\Local\Temp\pip-build-env-0uexikep\overlay\Lib\site-packages\setuptools\command\dist_info.py", line 31, in run egg_info.run() File "C:\Users\admin\AppData\Local\Temp\pip-install-_drm9w48\numpy_e4ace71c56d54bf7af156925b951ce98\numpy\distutils\command\egg_info.py", line 24, in run self.run_command("build_src") File "C:\Users\admin\AppData\Local\Temp\pip-build-env-0uexikep\overlay\Lib\site-packages\setuptools\_distutils\cmd.py", line 313, in run_command self.distribution.run_command(command) File "C:\Users\admin\AppData\Local\Temp\pip-build-env-0uexikep\overlay\Lib\site-packages\setuptools\_distutils\dist.py", line 986, in run_command cmd_obj.run() File "C:\Users\admin\AppData\Local\Temp\pip-install-_drm9w48\numpy_e4ace71c56d54bf7af156925b951ce98\numpy\distutils\command\build_src.py", line 144, in run self.build_sources() File "C:\Users\admin\AppData\Local\Temp\pip-install-_drm9w48\numpy_e4ace71c56d54bf7af156925b951ce98\numpy\distutils\command\build_src.py", line 155, in build_sources self.build_library_sources(*libname_info) File "C:\Users\admin\AppData\Local\Temp\pip-install-_drm9w48\numpy_e4ace71c56d54bf7af156925b951ce98\numpy\distutils\command\build_src.py", line 288, in build_library_sources sources = self.generate_sources(sources, (lib_name, build_info)) File "C:\Users\admin\AppData\Local\Temp\pip-install-_drm9w48\numpy_e4ace71c56d54bf7af156925b951ce98\numpy\distutils\command\build_src.py", line 378, in generate_sources source = func(extension, build_dir) File "numpy\core\setup.py", line 650, in get_mathlib_info st = config_cmd.try_link('int main(void) { return 0;}') File "C:\Users\admin\AppData\Local\Temp\pip-build-env-0uexikep\overlay\Lib\site-packages\setuptools\_distutils\command\config.py", line 243, in try_link self._link(body, headers, include_dirs, File "C:\Users\admin\AppData\Local\Temp\pip-install-_drm9w48\numpy_e4ace71c56d54bf7af156925b951ce98\numpy\distutils\command\config.py", line 161, in _link return self._wrap_method(old_config._link, lang, File "C:\Users\admin\AppData\Local\Temp\pip-install-_drm9w48\numpy_e4ace71c56d54bf7af156925b951ce98\numpy\distutils\command\config.py", line 95, in _wrap_method ret = mth(*((self,)+args)) File "C:\Users\admin\AppData\Local\Temp\pip-build-env-0uexikep\overlay\Lib\site-packages\setuptools\_distutils\command\config.py", line 137, in _link (src, obj) = self._compile(body, headers, include_dirs, lang)ls\command\config.py", line 104, in _compile src, obj = self._wrap_method(old_config._compile, lang, File "C:\Users\admin\AppData\Local\Temp\pip-install-_drm9w48\numpy_e4ace71c56d54bf7af156925b951ce98\numpy\distutils\command\config.py", line 95, in _wrap_method ret = mth(*((self,)+args)) File "C:\Users\admin\AppData\Local\Temp\pip-build-env-0uexikep\overlay\Lib\site-packages\setuptools\_distutils\command\config.py", line 132, in _compile self.compiler.compile([src], include_dirs=include_dirs) File "C:\Users\admin\AppData\Local\Temp\pip-build-env-0uexikep\overlay\Lib\site-packages\setuptools\_distutils\_msvccompiler.py", line 401, in compile self.spawn(args) return super().spawn(cmd, env=env) File "C:\Users\admin\AppData\Local\Temp\pip-install-_drm9w48\numpy_e4ace71c56d54bf7af156925b951ce98\numpy\distutils\ccompiler.py", line 90, in m = lambda self, *args, **kw: func(self, *args, **kw) TypeError: CCompiler_spawn() got an unexpected keyword argument 'env' [end of output] note: This error originates from a subprocess, and is likely not a problem with pip.error: metadata-generation-failed× Encountered error while generating package metadata.╰─> See above for output.note: This is an issue with the package mentioned above, not pip.hint: See above for details. 经过一番查看，应该是1.2.1版本不支持python 3.10 版本，这下蒙了……难道要自己去编译源码？
解决办法：
于是去下载了1.2.1版本的源码回来，正准备编译一下呢，但是反过来一想，源码都有了，还编译啥！直接上源码！
于是把源码文件直接粘贴到site-packages文件夹里，然后再次执行代码……
E:\pytodo\venv\lib\site-packages\_distutils_hack\__init__.py:33: UserWarning: Setuptools is replacing distutils. warnings.warn("Setuptools is replacing distutils.")E:\pytodo\venv\lib\site-packages\jieba\_compat.py:4: DeprecationWarning: the imp module is deprecated in favour of importlib and slated for removal in Python 3.12; see the module's documentation for alternative uses import imp[2023-01-13 13:59:14,601] [ INFO] - Downloading model_state.pdparams from https://bj.bcebos.com/paddlenlp/taskflow/information_extraction/uie_base_v1.1/model_state.pdparams100%|███████████████████████████████████████████████████████████████████████████████████████████████████| 450M/450M [10:15<00:00, 766kB/s][2023-01-13 14:09:32,557] [ INFO] - Downloading model_config.json from https://bj.bcebos.com/paddlenlp/taskflow/information_extraction/uie_base/model_config.json100%|████████████████████████████████████████████████████████████████████████████████████████████████████| 377/377 [00:00<00:00, 45.0kB/s][2023-01-13 14:09:32,769] [ INFO] - Downloading vocab.txt from https://bj.bcebos.com/paddlenlp/taskflow/information_extraction/uie_base/vocab.txt100%|███████████████████████████████████████████████████████████████████████████████████████████████████| 182k/182k [00:00<00:00, 543kB/s][2023-01-13 14:09:33,294] [ INFO] - Downloading special_tokens_map.json from https://bj.bcebos.com/paddlenlp/taskflow/information_extraction/uie_base/special_tokens_map.json100%|█████████████████████████████████████████████████████████████████████████████████████████████████████| 112/112 [00:00<00:00, 112kB/s][2023-01-13 14:09:33,446] [ INFO] - Downloading tokenizer_config.json from https://bj.bcebos.com/paddlenlp/taskflow/information_extraction/uie_base/tokenizer_config.json100%|█████████████████████████████████████████████████████████████████████████████████████████████████████| 172/172 [00:00<00:00, 172kB/s][2023-01-13 14:09:33,632] [ INFO] - loading configuration file C:\Users\fwrx\.paddlenlp\taskflow\information_extraction\uie-base\model_config.json[2023-01-13 14:09:33,634] [ INFO] - Model config ErnieConfig { "architectures": [ "UIE" ], "attention_probs_dropout_prob": 0.1, "enable_recompute": false, "fuse": false, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "initializer_range": 0.02, "intermediate_size": 3072, "layer_norm_eps": 1e-12, "max_position_embeddings": 2048, "model_type": "ernie", "num_attention_heads": 12, "num_hidden_layers": 12, "pad_token_id": 0, "paddlenlp_version": null, "pool_act": "tanh", "task_id": 0, "task_type_vocab_size": 3, "type_vocab_size": 4, "use_task_id": true, "vocab_size": 40000}[2023-01-13 14:09:33,643] [ INFO] - Configuration saved in C:\Users\fwrx\.paddlenlp\taskflow\information_extraction\uie-base\config.json[2023-01-13 14:09:56,586] [ INFO] - All model checkpoint weights were used when initializing UIE.[2023-01-13 14:09:56,587] [ INFO] - All the weights of UIE were initialized from the model checkpoint at C:\Users\fwrx\.paddlenlp\taskflow\information_extraction\uie-base.If your task is similar to the task the model of the checkpoint was trained on, you can already use UIE for predictions without further training.[2023-01-13 14:09:56,590] [ INFO] - Converting to the inference model cost a little time.[2023-01-13 14:10:20,229] [ INFO] - The inference model save in the path:C:\Users\fwrx\.paddlenlp\taskflow\information_extraction\uie-base\static\inference[2023-01-13 14:10:25,183] [ INFO] - We are using to load 'C:\Users\fwrx\.paddlenlp\taskflow\information_extraction\uie-base'.[{'时间': [{'end': 6, 'probability': 0.9857378532473966, 'start': 0, 'text': '2月8日上午'}], '赛事名称': [{'end': 23, 'probability': 0.8503081103003893, 'start': 6, 'text': '北京冬奥会自由式滑雪女子大跳台决赛'}], '选手': [{'end': 31, 'probability': 0.8981535684051067, 'start': 28, 'text': '谷爱凌'}]}] 看样子是首次运行代码，有下载了一些模型库等数据。
经过一会的运行之后，结果出来了！
Python 3.10版本可用的源码在这里：Python3.10版本可用的seqeval-1.2.1版本源码-Python文档类资源-CSDN文库
来源地址：https://blog.csdn.net/theorycao/article/details/128673664
