spirovykt
commented
7 years ago You will should delete current Tensorflow version and install again. Just ignore requirements. On Ubuntu it looks like: $sudo pip uninstall tensorflow $sudo pip install tensorflow Pip is Python module for easy install other modules (libraries)
Maybe the following helps you in other case: -Change interpreter of current Project (either to 3.5 or 2.7)
$ python demo.py I tensorflow/stream_executor/dso_loader.cc:128] successfully opened CUDA library libcublas.so locally I tensorflow/stream_executor/dso_loader.cc:128] successfully opened CUDA library libcudnn.so locally I tensorflow/stream_executor/dso_loader.cc:128] successfully opened CUDA library libcufft.so locally I tensorflow/stream_executor/dso_loader.cc:128] successfully opened CUDA library libcuda.so.1 locally I tensorflow/stream_executor/dso_loader.cc:128] successfully opened CUDA library libcurand.so locally Traceback (most recent call last): File "demo.py", line 2, in
import tflearn
File "/usr/local/lib/python2.7/dist-packages/tflearn/init.py", line 21, in
from .layers import normalization
File "/usr/local/lib/python2.7/dist-packages/tflearn/layers/init.py", line 10, in
from .recurrent import lstm, gru, simple_rnn, bidirectional_rnn, \
File "/usr/local/lib/python2.7/dist-packages/tflearn/layers/recurrent.py", line 8, in
from tensorflow.contrib.rnn.python.ops.core_rnn import static_rnn as _rnn, \
ImportError: No module named core_rnn