在Jupyter笔记本中导入TensorLy时出现导入错误

Question

我试图在Jupyter notebook中以import tensorly as tl的形式导入TensorLy，但是我得到了导入错误。我在本地机器上安装了TensorLy。

完整回溯：

ImportError                               Traceback (most recent call last)
<ipython-input-5-7285d7cdd476> in <module>
----> 1 import tensorly as tl

c:\users\jaydeep borkar\desktop\tensorly\tensorly\__init__.py in     <module>
  2 import sys
  3 
----> 4 from .base import unfold, fold
  5 from .base import tensor_to_vec, vec_to_tensor
  6 from .base import partial_unfold, partial_fold

c:\users\jaydeep borkar\desktop\tensorly\tensorly\base.py in <module>
----> 1 from . import backend as T
  2 
  3 def tensor_to_vec(tensor):
  4     """Vectorises a tensor
  5 

c:\users\jaydeep borkar\desktop\tensorly\tensorly\backend\__init__.py in <module>
  1 import warnings
----> 2 from .core import Backend
  3 import importlib
  4 import os
  5 import sys

c:\users\jaydeep borkar\desktop\tensorly\tensorly\backend\core.py in <module>
  9 import numpy as np
 10 import scipy.linalg
---> 11 import scipy.sparse.linalg
 12 
 13 

C:\Anaconda3\lib\site-packages\scipy\sparse\linalg\__init__.py in <module>
115 from .dsolve import *
116 from .interface import *
--> 117 from .eigen import *
118 from .matfuncs import *
119 from ._onenormest import *

C:\Anaconda3\lib\site-packages\scipy\sparse\linalg\eigen\__init__.py in <module>
  9 from __future__ import division, print_function, absolute_import
 10 
---> 11 from .arpack import *
 12 from .lobpcg import *
 13 

C:\Anaconda3\lib\site-packages\scipy\sparse\linalg\eigen\arpack\__init__.py in <module>
 20 from __future__ import division, print_function, absolute_import
 21 
---> 22 from .arpack import *

C:\Anaconda3\lib\site-packages\scipy\sparse\linalg\eigen\arpack\arpack.py in <module>
 43 __all__ = ['eigs', 'eigsh', 'svds', 'ArpackError', 'ArpackNoConvergence']
 44 
---> 45 from . import _arpack
 46 import numpy as np
 47 import warnings

ImportError: DLL load failed: The specified procedure could not be found.

可能的解决方案是什么？

Answer 1

您是否在使用新的conda环境？如果是这样的话，试试this吧。