from tensorflow.contrib.rnn.python.ops.core_rnn import static_rnn as _rnn, \ ImportError: No module named core_rnn

[samimoftheworld]

$ 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

[spirovga]

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)