jupyter notebook出现DLL load failed while importing _multiarray_umath: 找不到指定的模块_jupyter notebook 中pandas 使用不了 dll load failed whil

安装gpu版本的pytorch之后，在pycharm上测试没出现问题而在jupyter notebook却出现问题

问题描述：

import torch

E:\Miniconda3\envs\d2l\lib\site-packages\numpy\__init__.py:148: 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
---------------------------------------------------------------------------
ImportError                               Traceback (most recent call last)
File E:\Miniconda3\envs\d2l\lib\site-packages\numpy\core\__init__.py:22, in <module>
     21 try:
---> 22     from . import multiarray
     23 except ImportError as exc:

File E:\Miniconda3\envs\d2l\lib\site-packages\numpy\core\multiarray.py:12, in <module>
     10 import warnings
---> 12 from . import overrides
     13 from . import _multiarray_umath

File E:\Miniconda3\envs\d2l\lib\site-packages\numpy\core\overrides.py:7, in <module>
      5 import textwrap
----> 7 from numpy.core._multiarray_umath import (
      8     add_docstring, implement_array_function, _get_implementing_args)
      9 from numpy.compat._inspect import getargspec

ImportError: DLL load failed while importing _multiarray_umath: 找不到指定的模块。

During handling of the above exception, another exception occurred:

ImportError                               Traceback (most recent call last)
Input In [1], in <cell line: 1>()
----> 1 import torch

File E:\Miniconda3\envs\d2l\lib\site-packages\torch\__init__.py:721, in <module>
    718 from .autocast_mode import autocast
    720 # Shared memory manager needs to know the exact location of manager executable
--> 721 _C._initExtension(manager_path())
    722 del manager_path
    724 # Appease the type checker: it can't deal with direct setting of globals().
    725 # Note that we will see "too many" functions when reexporting this way; there
    726 # is not a good way to fix this problem.  Perhaps, try to redesign VariableFunctions
    727 # so that this import is good enough

File E:\Miniconda3\envs\d2l\lib\site-packages\torch\cuda\__init__.py:759, in <module>
    757 from . import profiler
    758 from . import nvtx
--> 759 from . import amp

File E:\Miniconda3\envs\d2l\lib\site-packages\torch\cuda\amp\__init__.py:1, in <module>
----> 1 from .autocast_mode import autocast, custom_fwd, custom_bwd  # noqa: F401
      2 from .grad_scaler import GradScaler

File E:\Miniconda3\envs\d2l\lib\site-packages\torch\cuda\amp\autocast_mode.py:5, in <module>
      3 import collections
      4 try:
----> 5     import numpy as np
      6     HAS_NUMPY = True
      7 except ModuleNotFoundError:

File E:\Miniconda3\envs\d2l\lib\site-packages\numpy\__init__.py:150, in <module>
    147 # Allow distributors to run custom init code
    148 from . import _distributor_init
--> 150 from . import core
    151 from .core import *
    152 from . import compat

File E:\Miniconda3\envs\d2l\lib\site-packages\numpy\core\__init__.py:48, in <module>
     24     import sys
     25     msg = """
     26 
     27 IMPORTANT: PLEASE READ THIS FOR ADVICE ON HOW TO SOLVE THIS ISSUE!
   (...)
     46 """ % (sys.version_info[0], sys.version_info[1], sys.executable,
     47         __version__, exc)
---> 48     raise ImportError(msg)
     49 finally:
     50     for envkey in env_added:

ImportError: 

IMPORTANT: PLEASE READ THIS FOR ADVICE ON HOW TO SOLVE THIS ISSUE!

Importing the numpy C-extensions failed. This error can happen for
many reasons, often due to issues with your setup or how NumPy was
installed.

We have compiled some common reasons and troubleshooting tips at:

    https://numpy.org/devdocs/user/troubleshooting-importerror.html

Please note and check the following:

  * The Python version is: Python3.8 from "E:\Miniconda3\envs\d2l\python.exe"
  * The NumPy version is: "1.21.5"

and make sure that they are the versions you expect.
Please carefully study the documentation linked above for further help.

Original error was: DLL load failed while importing _multiarray_umath: 找不到指定的模块。
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解决办法：

切换到pytorch环境,安装jupyter
conda install jupyter -y
然后将pytorch环境添加到jupyter
python -m ipykernel install --user --name=环境名 --display-name "Python (环境名)" (需ipykernel)

小结：

使用pycharm是没问题的，但强迫症的我非要在jupyter上运行，浪费不少时间，但结果还是不错的。
网上查了大量资料，有说jupyter需要Cython，安装之后还是报错；有说重启kernel，结果怎么重启都未能解决。
一个小问题搞了一晚上，终于解决

参考：https://blog.csdn.net/BILL_Apple/article/details/122937160