python import numpy 出錯_VSCode下執行import numpy出錯，命名行沒問題

mkl-service有的。問題表現為在指令行上執行都正确、但從VSCode中啟動調試 有對numpy的依賴就出錯。

# packages in environment at C:\Users\ASUS\miniconda3\envs\workspace:

#

# Name Version Build Channel

_tflow_select 2.1.0 gpu

absl-py 0.11.0 py37haa95532_0

aiohttp 3.6.3 py37he774522_0

argon2-cffi 20.1.0 py37he774522_1

astor 0.8.1 py37_0

async-timeout 3.0.1 py37_0

async_generator 1.10 py37h28b3542_0

attrs 20.3.0 pyhd3eb1b0_0

backcall 0.2.0 py_0

blas 1.0 mkl

bleach 3.2.1 py_0

blinker 1.4 py37_0

brotlipy 0.7.0 py37h2bbff1b_1003

ca-certificates 2020.10.14 0

cachetools 4.1.1 py_0

certifi 2020.6.20 pyhd3eb1b0_3

cffi 1.14.3 py37hcd4344a_2

chardet 3.0.4 py37haa95532_1003

click 7.1.2 py_0

colorama 0.4.4 py_0

cryptography 3.2.1 py37hcd4344a_1

cudatoolkit 10.1.243 h74a9793_0

cudnn 7.6.5 cuda10.1_0

decorator 4.4.2 py_0

defusedxml 0.6.0 py_0

entrypoints 0.3 py37_0

gast 0.2.2 py37_0

google-auth 1.23.0 pyhd3eb1b0_0

google-auth-oauthlib 0.4.2 pyhd3eb1b0_2

google-pasta 0.2.0 py_0

grpcio 1.31.0 py37he7da953_0

h5py 2.10.0 py37h5e291fa_0

hdf5 1.10.4 h7ebc959_0

icc_rt 2019.0.0 h0cc432a_1

idna 2.10 py_0

importlib-metadata 2.0.0 py_1

importlib_metadata 2.0.0 1

intel-openmp 2020.2 254

ipykernel 5.3.4 py37h5ca1d4c_0

ipython 7.19.0 py37hd4e2768_0

ipython_genutils 0.2.0 py37_0

jedi 0.17.2 py37_0

jinja2 2.11.2 py_0

json5 0.9.5 py_0

jsonschema 3.2.0 py_2

jupyter_client 6.1.7 py_0

jupyter_core 4.6.3 py37_0

jupyterlab 2.2.6 py_0

jupyterlab_pygments 0.1.2 py_0

jupyterlab_server 1.2.0 py_0

keras-applications 1.0.8 py_1

keras-preprocessing 1.1.0 py_1

libprotobuf 3.13.0.1 h200bbdf_0

libsodium 1.0.18 h62dcd97_0

m2w64-gcc-libgfortran 5.3.0 6

m2w64-gcc-libs 5.3.0 7

m2w64-gcc-libs-core 5.3.0 7

m2w64-gmp 6.1.0 2

m2w64-libwinpthread-git 5.0.0.4634.697f757 2

markdown 3.3.3 py37haa95532_0

markupsafe 1.1.1 py37hfa6e2cd_1

mistune 0.8.4 py37hfa6e2cd_1001

mkl 2020.2 256

mkl-service 2.3.0 py37h2bbff1b_0

mkl_fft 1.2.0 py37h45dec08_0

mkl_random 1.1.1 py37h47e9c7a_0

msys2-conda-epoch 20160418 1

multidict 4.7.6 py37he774522_1

nbclient 0.5.1 py_0

nbconvert 6.0.7 py37_0

nbformat 5.0.8 py_0

nest-asyncio 1.4.2 pyhd3eb1b0_0

notebook 6.1.4 py37_0

numpy 1.19.2 py37hadc3359_0

numpy-base 1.19.2 py37ha3acd2a_0

oauthlib 3.1.0 py_0

openssl 1.1.1h he774522_0

opt_einsum 3.1.0 py_0

packaging 20.4 py_0

pandoc 2.11 h9490d1a_0

pandocfilters 1.4.3 py37haa95532_1

parso 0.7.0 py_0

pickleshare 0.7.5 py37_1001

pip 20.2.4 py37haa95532_0

prometheus_client 0.8.0 py_0

prompt-toolkit 3.0.8 py_0

protobuf 3.13.0.1 py37ha925a31_1

pyasn1 0.4.8 py_0

pyasn1-modules 0.2.8 py_0

pycparser 2.20 py_2

pygments 2.7.2 pyhd3eb1b0_0

pyjwt 1.7.1 py37_0

pyopenssl 19.1.0 pyhd3eb1b0_1

pyparsing 2.4.7 py_0

pyreadline 2.1 py37_1

pyrsistent 0.17.3 py37he774522_0

pysocks 1.7.1 py37_1

python 3.7.9 h60c2a47_0

python-dateutil 2.8.1 py_0

pywin32 227 py37he774522_1

pywinpty 0.5.7 py37_0

pyzmq 19.0.2 py37ha925a31_1

requests 2.24.0 py_0

requests-oauthlib 1.3.0 py_0

rsa 4.6 py_0

scipy 1.5.4 pypi_0 pypi

send2trash 1.5.0 py37_0

setuptools 50.3.1 py37haa95532_1

six 1.15.0 py37haa95532_0

sqlite 3.33.0 h2a8f88b_0

tensorboard 2.3.0 pyh4dce500_0

tensorboard-plugin-wit 1.6.0 py_0

tensorflow 2.1.0 gpu_py37h7db9008_0

tensorflow-base 2.1.0 gpu_py37h55f5790_0

tensorflow-estimator 2.1.0 pyhd54b08b_0

tensorflow-gpu 2.1.0 h0d30ee6_0

termcolor 1.1.0 py37_1

terminado 0.9.1 py37_0

testpath 0.4.4 py_0

tornado 6.0.4 py37he774522_1

traitlets 5.0.5 py_0

urllib3 1.25.11 py_0

vc 14.1 h0510ff6_4

vs2015_runtime 14.16.27012 hf0eaf9b_3

wcwidth 0.2.5 py_0

webencodings 0.5.1 py37_1

werkzeug 0.16.1 py_0

wheel 0.35.1 pyhd3eb1b0_0

win_inet_pton 1.1.0 py37haa95532_0

wincertstore 0.2 py37_0

winpty 0.4.3 4

wrapt 1.12.1 py37he774522_1

yarl 1.6.2 py37he774522_0

zeromq 4.3.2 ha925a31_3

zipp 3.4.0 pyhd3eb1b0_0

zlib 1.2.11 h62dcd97_4

【 在 blablue 的大作中提到: 】

: 你這個warning顯示“...mkl-service package failed to import...”，是不是少了這個包啊。你conda activate workspace然後conda list看看有沒有這個mkl-sevice

: 如果conda list裡面numpy和這些個mkl都有，那會不會是numpy版本的問題。你可以在指令行裡workspace環境下，進python然後直接import numpy看行不行。不過包之間有時候會抽風的，可能卸了numpy再重裝下就好了..