This error is usually caused by the mismatch of numpy versions, and the related MKL libraries are also uninstalled
pip unstall numpy
pip unstall mkl-serviceThen PIP reinstall it
I just don’t know why I can’t solve it with CONDA uninstall + reinstall. Just replace it with PIP. It seems that there is a difference between uninstall and installed library?
Read More:
- Unable to call numpy in pychar, module notfounderror: no module named ‘numpy’
- Python_ Part 2 programming problems (3)_ solve numpy.core.multiarray Failed to import problem
- ImportError: numpy.core.multiarray failed to import
- ImportError: Importing the multiarray numpy extension module failed.
- Importing the multiarray numpy extension module failed
- When VS code imported Cv2, an error ImportError: numpy.core.multiarray failed to import; There are no mistakes in using the Spyder
- numpy.core.umath How to solve the problem of failed to import
- No module named numpy error in Python code
- ModuleNotFoundError: No module named ‘numpy.testing.nosetester‘
- Warning when using numpy: runtimewarning: numpy.dtype size changed, may indicate binary incompatibility
- Jumper notebook, import numpy, prompt “importerror: DLL load failed: unable to find the specified module”
- AttributeError: module ‘numpy‘ has no attribute ‘getbuffer‘
- ModuleNotFoundError: No module named ‘tensorflow_core.estimator‘
- numpy.core._exceptions.MemoryError: Unable to allocate xxx GB
- vscode import numpy error：DLL load failed: The specific module could not be found
- Debug | AttributeError: ‘numpy.int64‘ object has no attribute ‘to_pydatetime‘
- Numpy error: oserror: failed to interpret file as a pickle
- AttributeError: ‘Tensor‘ object has no attribute ‘_numpy‘
- [solved] runtimeerror: module compiled against API version 0xc but this version of numpy is 0xb
- AttributeError: ‘numpy.ndarray‘ object has no attribute ‘softmax‘