1 问题描述 

D:\Program\Anaconda3\envs\tensorflow\lib\site-packages\numpy\__init__.py:138: UserWarning: mkl-service package 
failed to import, therefore Intel(R) MKL initialization ensuring its correct out-of-the box operation under condition when Gnu OpenMP had already been loaded by Python process is not assured. Please install mkl-service package, see http://github.com/IntelPython/mkl-service
  from . import _distributor_init
Traceback (most recent call last):
  File "D:\Program\Anaconda3\envs\tensorflow\lib\site-packages\numpy\core\__init__.py", line 22, in <module>
    from . import multiarray
  File "D:\Program\Anaconda3\envs\tensorflow\lib\site-packages\numpy\core\multiarray.py", line 12, in <module>
    from . import overrides
  File "D:\Program\Anaconda3\envs\tensorflow\lib\site-packages\numpy\core\overrides.py", line 7, in <module>
    from numpy.core._multiarray_umath import (
ImportError: DLL load failed: 找不到指定的模块。

2 解决方案——重装并降低numpy版本和重装mkl-service

pip uninstall numpy

pip install numpy

pip uninstall mkl-service

pip install mkl-service

其中tensorflow1.14.0gpu+python3.7.10+numpy1.18.0+mkl-service2.3.0。

这个问题很大的可能是numpy和tensorflow版本不匹配,将numpy的版本降下来后,问题得到解决。

之前用的tensorflow是2.4.1但是问题不断,不得已把tensorflow版本降到了1.14.0。如下图示

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