Mirko Piccolo
Reputation: 319
Impossible to import tensorflow with spyder anaconda
I am trying to import tensorflow without success. The installation of each packages is done with Anaconda Navigator or in the Anaconda prompt command with conda install *package* in the right env that I've created previously.
For the test I found this script usefull: https://www.southampton.ac.uk/~fangohr/blog/installation-of-python-spyder-numpy-sympy-scipy-pytest-matplotlib-via-anaconda.html#running-the-tests-with-spyder and all others packages seems to work.
Something is wrong in the installation of tensorflow.
import tensorflow as tf
Output in the console:
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.
Thanks in advance.
this is the list of what is installed in the env. OS x64 All the solutions in stackoverflow (avx support of the cpu, microsoft c++ 2015, python path) have already been tried
# 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
Upvotes: 1
Views: 424
Answers (1)
Mirko Piccolo
Reputation: 319
Installing spyder again inside the environment was the solution.
Upvotes: 1
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