Failed to import spacy in jupyter notebook

[dansvotrecoeur]

I got error 'ImportError: blis.cy does not export expected C function sgemm' when I tried to run import spacy in Jupyter Notebook.

May anyone can help to resolve this problem?
Thank you.

Here is the error code:

ImportError Traceback (most recent call last)
Input In [5], in <cell line: 1>()
----> 1 import spacy

File ~\anaconda3\lib\site-packages\spacy_init_.py:11, in
8 setup_default_warnings() # noqa: E402
10 # These are imported as part of the API
---> 11 from thinc.api import prefer_gpu, require_gpu, require_cpu # noqa: F401
12 from thinc.api import Config
14 from . import pipeline # noqa: F401

File ~\anaconda3\lib\site-packages\thinc\api.py:2, in
1 from .config import Config, registry, ConfigValidationError
----> 2 from .initializers import normal_init, uniform_init, glorot_uniform_init, zero_init
3 from .initializers import configure_normal_init
4 from .loss import CategoricalCrossentropy, L2Distance, CosineDistance

File ~\anaconda3\lib\site-packages\thinc\initializers.py:4, in
1 from typing import Callable, cast
2 import numpy
----> 4 from .backends import Ops
5 from .config import registry
6 from .types import FloatsXd, Shape

File ~\anaconda3\lib\site-packages\thinc\backends_init_.py:7, in
4 from contextvars import ContextVar
5 import threading
----> 7 from .ops import Ops
8 from .cupy_ops import CupyOps
9 from .numpy_ops import NumpyOps

File ~\anaconda3\lib\site-packages\thinc\backends\ops.py:16, in
13 from ..types import DeviceTypes, Generator, Padded, Batchable, SizedGenerator
14 from ..util import get_array_module, is_xp_array, to_numpy
---> 16 from .cblas import CBlas
18 ArrayT = TypeVar("ArrayT", bound=ArrayXd)
19 FloatsT = TypeVar("FloatsT", bound=_Floats)

File ~\anaconda3\lib\site-packages\thinc\backends\cblas.pyx:1, in init thinc.backends.cblas()

ImportError: blis.cy does not export expected C function sgemm

[danieldk]

It looks like the installed blis version is too old for the installed thinc version. Could you give the output of conda list and check that there are no broken requirements with pip check?