conda/mamba安装numpy导致intel mkl依赖报错问题解决

原创 于 2025-11-17 17:57:33 发布 · 169 阅读 · 0 ·
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#conda #numpy

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问题：

conda/mamba安装的numpy默认依赖intel mkl。

打包后到客户机运行，虽然相关dll已打包进去，但仍会报错：

INTEL oneMKL ERROR: 参数错误。 mkl_intel_thread.2.dll.
Intel oneMKL FATAL ERROR: Cannot load mkl_intel_thread.2.dll.

解决：

卸载科学计算相关的包，然后指定安装openblas代替intel mkl

conda/mamba remove numpy scipy pandas
conda/mamba install -c conda-forge "blas=*=openblas" numpy pandas

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nbclient @ file:///C:/ci_311/nbclient_1676425195918/work nbconvert @ file:///C:/ci_311/nbconvert_1676425836196/work nbformat @ file:///C:/b/abs_5a2nea1iu2/croot/nbformat_1694616866197/work nest-asyncio @ file:///C:/ci_311/nest-asyncio_1676423519896/work networkx @ file:///C:/b/abs_e6gi1go5op/croot/networkx_1690562046966/work nltk @ file:///C:/b/abs_a638z6l1z0/croot/nltk_1688114186909/work notebook @ file:///C:/b/abs_e2qn6c85jb/croot/notebook_1690985290943/work notebook_shim @ file:///C:/ci_311/notebook-shim_1678144850856/work numba @ file:///C:/b/abs_00f2z7znbq/croot/numba_1690878309825/work numexpr @ file:///C:/b/abs_afm0oewmmt/croot/numexpr_1683221839116/work numpy @ file:///C:/Users/dev-admin/mkl/numpy_and_numpy_base_1682982345978/work numpydoc @ file:///C:/ci_311/numpydoc_1676453412027/work openpyxl==3.0.10 overrides==7.7.0 packaging @ file:///C:/b/abs_28t5mcoltc/croot/packaging_1693575224052/work pandas @ file:///C:/miniconda3/conda-bld/pandas_1692298018988/work pandocfilters @ file:///opt/conda/conda-bld/pandocfilters_1643405455980/work panel @ file:///C:/b/abs_a4rd7zrkc6/croot/panel_1695145945642/work param @ file:///C:/b/abs_f5xzp6ism6/croot/param_1684915326009/work paramiko @ file:///opt/conda/conda-bld/paramiko_1640109032755/work parsel @ file:///C:/ci_311/parsel_1676443327188/work parso @ file:///opt/conda/conda-bld/parso_1641458642106/work partd @ file:///C:/b/abs_4e2m_ds81n/croot/partd_1693937921136/work pathlib @ file:///Users/ktietz/demo/mc3/conda-bld/pathlib_1629713961906/work pathspec @ file:///C:/ci_311/pathspec_1679427644142/work patsy==0.5.3 pdfminer.six==20250506 pdfplumber==0.11.7 pep8==1.7.1 pexpect @ file:///tmp/build/80754af9/pexpect_1605563209008/work pickleshare @ file:///tmp/build/80754af9/pickleshare_1606932040724/work Pillow @ file:///C:/b/abs_153xikw91n/croot/pillow_1695134603563/work pkce @ file:///C:/b/abs_d0z4444tb0/croot/pkce_1690384879799/work pkginfo @ file:///C:/b/abs_d18srtr68x/croot/pkginfo_1679431192239/work pkuseg==0.0.25 platformdirs @ file:///C:/b/abs_b6z_yqw_ii/croot/platformdirs_1692205479426/work plotly @ file:///C:/ci_311/plotly_1676443558683/work pluggy @ file:///C:/ci_311/pluggy_1676422178143/work ply==3.11 poyo @ file:///tmp/build/80754af9/poyo_1617751526755/work prometheus-client @ file:///C:/ci_311/prometheus_client_1679591942558/work prompt-toolkit @ file:///C:/ci_311/prompt-toolkit_1676425940920/work Protego @ file:///tmp/build/80754af9/protego_1598657180827/work psutil @ file:///C:/ci_311_rebuilds/psutil_1679005906571/work ptyprocess @ file:///tmp/build/80754af9/ptyprocess_1609355006118/work/dist/ptyprocess-0.7.0-py2.py3-none-any.whl pure-eval @ file:///opt/conda/conda-bld/pure_eval_1646925070566/work py-cpuinfo @ file:///Users/ktietz/demo/mc3/conda-bld/py-cpuinfo_1629480366017/work pyarrow==11.0.0 pyasn1 @ file:///Users/ktietz/demo/mc3/conda-bld/pyasn1_1629708007385/work pyasn1-modules==0.2.8 pycodestyle @ file:///C:/ci_311/pycodestyle_1678376707834/work pycosat @ file:///C:/ci_311/pycosat_1676438455539/work pycparser @ file:///tmp/build/80754af9/pycparser_1636541352034/work pyct @ file:///C:/ci_311/pyct_1676438538057/work pycurl==7.45.2 pydantic @ file:///C:/b/abs_4bum6ajkso/croot/pydantic_1686125732638/work PyDispatcher==2.0.5 pydocstyle @ file:///C:/ci_311/pydocstyle_1678402028085/work pyerfa @ file:///C:/ci_311/pyerfa_1676503994641/work pyflakes @ file:///C:/ci_311/pyflakes_1678402101687/work Pygments @ file:///C:/b/abs_fay9dpq4n_/croot/pygments_1684279990574/work PyJWT @ file:///C:/ci_311/pyjwt_1676438890509/work pylint @ file:///C:/ci_311/pylint_1678740302984/work pylint-venv @ file:///C:/ci_311/pylint-venv_1678402170638/work pyls-spyder==0.4.0 pymssql==2.3.6 PyMySQL==1.1.1 PyNaCl @ file:///C:/ci_311/pynacl_1676445861112/work pyodbc @ file:///C:/ci_311/pyodbc_1676489976744/work pyOpenSSL @ file:///C:/b/abs_08f38zyck4/croot/pyopenssl_1690225407403/work pyparsing @ file:///C:/ci_311/pyparsing_1678502182533/work pypdfium2==4.30.1 PyQt5==5.15.7 PyQt5-sip @ file:///C:/ci_311/pyqt-split_1676428895938/work/pyqt_sip PyQtWebEngine==5.15.4 pyrsistent @ file:///C:/ci_311/pyrsistent_1676422695500/work PySocks @ file:///C:/ci_311/pysocks_1676425991111/work pytest @ file:///C:/b/abs_48heoo_k8y/croot/pytest_1690475385915/work python-dateutil @ file:///tmp/build/80754af9/python-dateutil_1626374649649/work python-dotenv @ file:///C:/ci_311/python-dotenv_1676455170580/work python-json-logger @ file:///C:/b/abs_cblnsm6puj/croot/python-json-logger_1683824130469/work python-lsp-black @ file:///C:/ci_311/python-lsp-black_1678721855627/work python-lsp-jsonrpc==1.0.0 python-lsp-server @ file:///C:/b/abs_catecj7fv1/croot/python-lsp-server_1681930405912/work python-slugify @ file:///tmp/build/80754af9/python-slugify_1620405669636/work python-snappy @ file:///C:/ci_311/python-snappy_1676446060182/work pytoolconfig @ file:///C:/ci_311/pytoolconfig_1678402262175/work pytz @ file:///C:/b/abs_19q3ljkez4/croot/pytz_1695131651401/work pyviz-comms @ file:///C:/b/abs_6cq38vhwa5/croot/pyviz_comms_1685030740344/work PyWavelets @ file:///C:/ci_311/pywavelets_1676504105729/work pywin32==305.1 pywin32-ctypes @ file:///C:/ci_311/pywin32-ctypes_1676427747089/work pywinpty @ file:///C:/ci_311/pywinpty_1677707791185/work/target/wheels/pywinpty-2.0.10-cp311-none-win_amd64.whl PyYAML @ file:///C:/ci_311/pyyaml_1676432488822/work pyzmq==27.0.0 QDarkStyle @ file:///tmp/build/80754af9/qdarkstyle_1617386714626/work qstylizer @ file:///C:/ci_311/qstylizer_1678502012152/work/dist/qstylizer-0.2.2-py2.py3-none-any.whl QtAwesome @ file:///C:/ci_311/qtawesome_1678402331535/work qtconsole @ file:///C:/b/abs_eb4u9jg07y/croot/qtconsole_1681402843494/work QtPy @ file:///C:/ci_311/qtpy_1676432558504/work queuelib==1.5.0 redis==6.2.0 referencing==0.36.2 regex @ file:///C:/ci_311_rebuilds/regex_1679006156792/work requests @ file:///C:/b/abs_316c2inijk/croot/requests_1690400295842/work requests-file @ 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file:///C:/ci_311/scrapy_1678502587780/work scrapy-redis==0.9.1 scrapy-user-agents==0.1.1 seaborn @ file:///C:/ci_311/seaborn_1676446547861/work Send2Trash==1.8.3 sentence-transformers==5.0.0 service-identity @ file:///Users/ktietz/demo/mc3/conda-bld/service_identity_1629460757137/work sip @ file:///C:/ci_311/sip_1676427825172/work six @ file:///tmp/build/80754af9/six_1644875935023/work smart-open @ file:///C:/ci_311/smart_open_1676439339434/work sniffio @ file:///C:/ci_311/sniffio_1676425339093/work snowballstemmer @ file:///tmp/build/80754af9/snowballstemmer_1637937080595/work sortedcontainers @ file:///tmp/build/80754af9/sortedcontainers_1623949099177/work soupsieve @ file:///C:/b/abs_a989exj3q6/croot/soupsieve_1680518492466/work Sphinx @ file:///C:/ci_311/sphinx_1676434546244/work sphinxcontrib-applehelp @ file:///home/ktietz/src/ci/sphinxcontrib-applehelp_1611920841464/work sphinxcontrib-devhelp @ file:///home/ktietz/src/ci/sphinxcontrib-devhelp_1611920923094/work sphinxcontrib-htmlhelp @ file:///tmp/build/80754af9/sphinxcontrib-htmlhelp_1623945626792/work sphinxcontrib-jsmath @ file:///home/ktietz/src/ci/sphinxcontrib-jsmath_1611920942228/work sphinxcontrib-qthelp @ file:///home/ktietz/src/ci/sphinxcontrib-qthelp_1611921055322/work sphinxcontrib-serializinghtml @ file:///tmp/build/80754af9/sphinxcontrib-serializinghtml_1624451540180/work spyder @ file:///C:/b/abs_e99kl7d8t0/croot/spyder_1681934304813/work spyder-kernels @ file:///C:/b/abs_e788a8_4y9/croot/spyder-kernels_1691599588437/work SQLAlchemy @ file:///C:/ci_311/sqlalchemy_1676446707912/work stack-data @ file:///opt/conda/conda-bld/stack_data_1646927590127/work statsmodels @ file:///C:/b/abs_7bth810rna/croot/statsmodels_1689937298619/work sympy==1.14.0 tables @ file:///C:/b/abs_0626auep9v/croot/pytables_1691623892917/work tabulate @ file:///C:/ci_311/tabulate_1676494503192/work TBB==0.2 tblib @ file:///Users/ktietz/demo/mc3/conda-bld/tblib_1629402031467/work tenacity @ 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file:///C:/ci_311/traitlets_1676423290727/work transformers==4.53.1 Twisted @ file:///C:/b/abs_f1pc_rieoy/croot/twisted_1683796899561/work twisted-iocpsupport @ file:///C:/ci_311/twisted-iocpsupport_1676447612160/work typing_extensions==4.14.1 tzdata @ file:///croot/python-tzdata_1690578112552/work ua-parser==1.0.1 ua-parser-builtins==0.18.0.post1 uc-micro-py @ file:///C:/ci_311/uc-micro-py_1676457695423/work ujson @ file:///C:/ci_311/ujson_1676434714224/work Unidecode @ file:///tmp/build/80754af9/unidecode_1614712377438/work uri-template==1.3.0 urllib3 @ file:///C:/b/abs_889_loyqv4/croot/urllib3_1686163174463/work user-agents==2.2.0 w3lib @ file:///Users/ktietz/demo/mc3/conda-bld/w3lib_1629359764703/work watchdog @ file:///C:/ci_311/watchdog_1676457923624/work wcwidth @ file:///Users/ktietz/demo/mc3/conda-bld/wcwidth_1629357192024/work webcolors==24.11.1 webencodings==0.5.1 websocket-client==1.8.0 Werkzeug @ file:///C:/b/abs_8578rs2ra_/croot/werkzeug_1679489759009/work whatthepatch @ file:///C:/ci_311/whatthepatch_1678402578113/work widgetsnbextension @ file:///C:/b/abs_882k4_4kdf/croot/widgetsnbextension_1679313880295/work win-inet-pton @ file:///C:/ci_311/win_inet_pton_1676425458225/work wrapt @ file:///C:/ci_311/wrapt_1676432805090/work xarray @ file:///C:/b/abs_5bkjiynp4e/croot/xarray_1689041498548/work xlwings @ file:///C:/ci_311_rebuilds/xlwings_1679013429160/work xxhash @ file:///C:/ci_311/python-xxhash_1676446168786/work xyzservices @ file:///C:/ci_311/xyzservices_1676434829315/work y-py @ file:///C:/b/abs_b7f5go6r0j/croot/y-py_1683662173571/work yapf @ file:///tmp/build/80754af9/yapf_1615749224965/work yarl @ file:///C:/ci_311/yarl_1676432870023/work ypy-websocket @ file:///C:/b/abs_4e65ywlnv8/croot/ypy-websocket_1684172103529/work zict @ file:///C:/b/abs_fc7elavmem/croot/zict_1682698759288/work zipp @ file:///C:/ci_311/zipp_1676426100491/work zope.interface @ file:///C:/ci_311/zope.interface_1676439868776/work zstandard==0.19.0
07-08
为了解决这个问题，建议使用 PowerShell 的 `Out-File` 命令指定文件编码： ```powershell pip freeze | Out-File -FilePath requirements.txt -Encoding utf8 ``` 这种方式可以避免因编码格式不兼容而导致的文件...
Windows环境安装pymc3，完整依赖。此包依赖极其严格，鄙人反复尝试，pip直装，conda直装，不信邪，去linux环境安装，虽然都能安装上，但是无法导入使用。
u013523167的博客
06-07 1033
AttributeError: module 'arviz' has no attribute 'geweke'。 AttributeError: module 'numpy.distutils.__config__' has no attribute 'blas_opt_info'。 lazylinker_ext/mod.cpp:976: undefined ref. collect2.exe: error: ld returned 1 exit status
Conda 虚拟环境：Python 多版本管理的终极方案
AI天才研究院
06-19 1441
Conda作为跨平台包与环境管理工具，通过隔离的虚拟环境和二进制包管理机制，为Python开发中的多版本冲突、依赖地狱等核心痛点提供了系统性解决方案。本文从概念基础到未来演化，逐层解析Conda的技术本质：首先回溯其历史轨迹与问题空间，继而通过第一性原理推导其理论框架；结合架构设计与实现机制，揭示依赖解析、环境创建的底层逻辑；最终通过实际应用场景与高级考量，展现Conda在数据科学、机器学习等领域的实践价值。
解决MKL FATAL ERROR: Cannot load mkl_intel_thread.2.dll.问题
gzc21210311的博客
04-01 2435
在anaconda创建的虚拟环境中并没有mkl_intel_thread.2.dll这一应用程序。在anaconda prompt中执行。
INTEL oneMKL ERROR: 找不到指定的模块。 mkl_intel_thread.2.dll.Intel MKL FATAL ERROR: Cannot load mkl_intel_t
weixin_45448775的博客
03-05 3381
python导入numpy报这个错误。
已解决Intel oneMKL FATAL ERROR: Cannot load mkl_intel_thread.2.dll
weixin_46881953的博客
08-13 460
如图。
Intel MKL FATAL ERROR: Cannot load mkl_intel_thread.dll 错误
Winifred_1997的博客
04-12 1351
原因一：缺少MKL 解决：pip install -i https://pypi.tuna.tsinghua.edu.cn/simple MKL 原因二：缺少numpy+mkl 解决：建议直接下载numpy-1.15.4+mkl-cp37-cp37m-win_amd64.whl下载地址：https://www.lfd.uci.edu/~gohlke/pythonlibs/#scipy 注意版本，我...
Intel MKL FATAL ERROR: Cannot load mkl_intel_thread.dll 解决方法
qq_42672627的博客
03-25 1086
在跑python和OpenCV时有时安装一个新库后就会报错：Intel MKL FATAL ERROR: Cannot load mkl_intel_thread.dll 。网上找了很多方法，有复杂也有简单的，但都没有效果，搞了几小时，心态爆炸。最后看到国外一网站解释到：不带MKL的numpy包是免费版的，不能处理海量数据类型。然后自己重新下载安装了带mkl的numpy就可以了。pip list ...
[Intel MKL FATAL ERROR: Cannot load mkl_intel_thread.dll]错误的解决方法
小张Python
11-28 2757
[Intel MKL FATAL ERROR: Cannot load mkl_intel_thread.dll] 当启动 python 脚本出现 cannot load mkl_intel_thread.dll 错误信息； 出错原因： python 执行器加载不到 mkl_intel_thread.dll 的模块; 解决方法： 找到 ./Library/bin/（python相...
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