Traceback (most recent call last):


 "test_inference.py", line 27, in <module>

model = DenseNet(reduction=0.5, classes=1000, weights_path=weights_path)


 "densenet169.py", line 78, in DenseNet

model.load_weights(weights_path, by_name=True)


 "/home/petteri/anaconda3/lib/python3.6/site-packages/keras/engine/topology.py", line 2498, in load_weights

load_weights_from_hdf5_group_by_name(f, self.layers)


 "/home/petteri/anaconda3/lib/python3.6/site-packages/keras/engine/topology.py", line 2976, in load_weights_from_hdf5_group_by_name

K.batch_set_value(weight_value_tuples)


 "/home/petteri/anaconda3/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py", line 2025, in batch_set_value

assign_op = x.assign(assign_placeholder)
AttributeError: 'Tensor' object has no attribute 'assign'

Traceback (most recent call last):


 "/data/pyconda36/bin/jupyterhub-singleuser", line 8, in <module>

from jupyterhub.singleuser import main


 "/data/pyconda36/lib/python3.6/site-packages/jupyterhub/singleuser.py", line 41, in <module>

from notebook.notebookapp import (


 "/data/pyconda36/lib/python3.6/site-packages/notebook/notebookapp.py", line 40, in <module>

ioloop.install()


 "/data/pyconda36/lib/python3.6/site-packages/zmq/eventloop/ioloop.py", line 210, in install

assert (not ioloop.IOLoop.initialized()) or \
AttributeError: type object 'IOLoop' has no attribute 'initialized'
