【发布时间】：2020-01-10 11:22:44
【问题描述】：
我正在尝试导入 tensorflow，但没有成功。使用 Anaconda Navigator 或在 Anaconda 提示符命令中使用 conda install *package* 在我之前创建的正确环境中完成每个包的安装。
对于测试，我发现这个脚本很有用：https://www.southampton.ac.uk/~fangohr/blog/installation-of-python-spyder-numpy-sympy-scipy-pytest-matplotlib-via-anaconda.html#running-the-tests-with-spyder 并且所有其他软件包似乎都可以工作。
tensorflow的安装出了点问题。
import tensorflow as tf
控制台输出：
import tensorflow as tf
Traceback (most recent call last):
File "<ipython-input-17-64156d691fe5>", line 1, in <module>
import tensorflow as tf
File "C:\Users\Megaport\Anaconda3\envs\venv\lib\site-packages\tensorflow\__init__.py", line 34, in <module>
from tensorflow.python import pywrap_tensorflow # pylint: disable=unused-import
File "C:\Users\Megaport\Anaconda3\envs\venv\lib\site-packages\tensorflow\python\__init__.py", line 49, in <module>
from tensorflow.python import pywrap_tensorflow
File "C:\Users\Megaport\Anaconda3\envs\venv\lib\site-packages\tensorflow\python\pywrap_tensorflow.py", line 74, in <module>
raise ImportError(msg)
ImportError: Traceback (most recent call last):
File "C:\Users\Megaport\Anaconda3\envs\venv\lib\site-packages\tensorflow\python\pywrap_tensorflow.py", line 58, in <module>
from tensorflow.python.pywrap_tensorflow_internal import *
File "C:\Users\Megaport\Anaconda3\envs\venv\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py", line 28, in <module>
_pywrap_tensorflow_internal = swig_import_helper()
File "C:\Users\Megaport\Anaconda3\envs\venv\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py", line 24, in swig_import_helper
_mod = imp.load_module('_pywrap_tensorflow_internal', fp, pathname, description)
File "C:\Users\Megaport\Anaconda3\envs\venv\lib\imp.py", line 242, in load_module
return load_dynamic(name, filename, file)
File "C:\Users\Megaport\Anaconda3\envs\venv\lib\imp.py", line 342, in load_dynamic
return _load(spec)
ImportError: DLL load failed: Impossibile trovare il modulo specificato.
Failed to load the native TensorFlow runtime.
See https://www.tensorflow.org/install/errors
for some common reasons and solutions. Include the entire stack trace
above this error message when asking for help.
提前致谢。
这是安装在环境中的列表。操作系统 x64 stackoverflow中的所有解决方案（cpu的avx支持，microsoft c++ 2015，python路径）都已经试过了
# packages in environment at C:\Users\Megaport\Anaconda3\envs\venv:
#
# Name Version Build Channel
_py-xgboost-mutex 2.0 cpu_0
_tflow_select 2.3.0 mkl
absl-py 0.8.0 pypi_0 pypi
astor 0.8.0 pypi_0 pypi
atomicwrites 1.3.0 py37_1
attrs 19.1.0 py37_1
backcall 0.1.0 py37_0
blas 1.0 mkl
ca-certificates 2019.5.15 1
certifi 2019.6.16 py37_1
cloudpickle 1.2.1 py_0
colorama 0.4.1 py37_0
cycler 0.10.0 py37_0
decorator 4.4.0 py37_1
fastcache 1.1.0 py37he774522_0
freetype 2.9.1 ha9979f8_1
gast 0.2.2 pypi_0 pypi
google-pasta 0.1.7 pypi_0 pypi
grpcio 1.23.0 pypi_0 pypi
h5py 2.10.0 pypi_0 pypi
hdf5 1.10.2 hac2f561_1
icc_rt 2019.0.0 h0cc432a_1
icu 58.2 ha66f8fd_1
importlib_metadata 0.19 py37_0
intel-openmp 2019.4 245
ipykernel 5.1.2 py37h39e3cac_0
ipython 7.8.0 py37h39e3cac_0
ipython_genutils 0.2.0 py37_0
jedi 0.15.1 py37_0
joblib 0.13.2 py37_0
jpeg 9b hb83a4c4_2
jupyter_client 5.3.1 py_0
jupyter_core 4.5.0 py_0
keras-applications 1.0.8 py_0
keras-base 2.2.4 py37_0
keras-preprocessing 1.1.0 py_1
kiwisolver 1.1.0 py37ha925a31_0
libmklml 2019.0.5 0
libpng 1.6.37 h2a8f88b_0
libprotobuf 3.8.0 h7bd577a_0
libsodium 1.0.16 h9d3ae62_0
libxgboost 0.90 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 3.1.1 py37_0
matplotlib 3.1.1 py37hc8f65d3_0
mkl 2019.4 245
mkl-service 2.0.2 py37he774522_0
mkl_fft 1.0.14 py37h14836fe_0
mkl_random 1.0.2 py37h343c172_0
more-itertools 7.2.0 py37_0
mpmath 1.1.0 py37_0
msys2-conda-epoch 20160418 1
numpy 1.17.2 pypi_0 pypi
numpy-base 1.16.4 py37hc3f5095_0
openssl 1.1.1c he774522_1
opt-einsum 3.0.1 pypi_0 pypi
packaging 19.1 py37_0
pandas 0.25.1 py37ha925a31_0
parso 0.5.1 py_0
pickleshare 0.7.5 py37_0
pip 19.2.2 py37_0
pluggy 0.12.0 py_0
prompt_toolkit 2.0.9 py37_0
protobuf 3.9.1 pypi_0 pypi
py 1.8.0 py37_0
py-xgboost 0.90 py37_0
py-xgboost-cpu 0.90 py37_0
pygments 2.4.2 py_0
pyparsing 2.4.2 py_0
pyqt 5.9.2 py37h6538335_2
pytest 5.0.1 py37_0
python 3.7.4 h5263a28_0
python-dateutil 2.8.0 py37_0
pytz 2019.2 py_0
pyyaml 5.1.2 py37he774522_0
pyzmq 18.1.0 py37ha925a31_0
qt 5.9.7 vc14h73c81de_0
scikit-learn 0.21.2 py37h6288b17_0
scipy 1.3.1 py37h29ff71c_0
setuptools 41.2.0 pypi_0 pypi
sip 4.19.8 py37h6538335_0
six 1.12.0 pypi_0 pypi
spyder-kernels 0.5.1 py37_0
sqlite 3.29.0 he774522_0
sympy 1.4 py37_0
tb-nightly 1.15.0a20190806 pypi_0 pypi
tensorboard 1.14.0 py37he3c9ec2_0
tensorflow 1.14.0 mkl_py37h7908ca0_0
tensorflow-base 1.14.0 mkl_py37ha978198_0
tensorflow-estimator 1.14.0 py_0
termcolor 1.1.0 pypi_0 pypi
tornado 6.0.3 py37he774522_0
traitlets 4.3.2 py37_0
vc 14.1 h0510ff6_4
vs2015_runtime 14.16.27012 hf0eaf9b_0
wcwidth 0.1.7 py37_0
werkzeug 0.15.6 pypi_0 pypi
wheel 0.33.6 pypi_0 pypi
wincertstore 0.2 py37_0
wrapt 1.11.2 py37he774522_0
yaml 0.1.7 hc54c509_2
zeromq 4.3.1 h33f27b4_3
zipp 0.5.2 py_0
zlib 1.2.11 h62dcd97_3
【问题讨论】：
标签： python tensorflow anaconda spyder