Install issue - which version of tensorflow is tested?

[RoydenClark]

Which version of tensorflow has this software been tested against?

When trying to install this software package I ran into the following : WARNING:tensorflow:From build/bdist.linux-x86_64/egg/dietnet/network.py:135: mean_squared_error (from tensorflow.contrib.losses.python.losses.loss_ops) is deprecated and will be removed after 2016-12-30.
Instructions for updating:
Use tf.losses.mean_squared_error instead.
Traceback (most recent call last):
File "/ri/shared/modules/dietnet/Jun17_2017/bin/dietnet", line 11, in
load_entry_point('dietnet==0.1', 'console_scripts', 'dietnet')()
File "build/bdist.linux-x86_64/egg/dietnet/main.py", line 121, in main
File "build/bdist.linux-x86_64/egg/dietnet/train.py", line 47, in train
File "build/bdist.linux-x86_64/egg/dietnet/network.py", line 135, in diet
File "/ri/shared/modules/dietnet/Jun17_2017/lib/python2.7/site-packages/tensorflow/python/util/deprecation.py", line 136, in new_func
return func(*args, **kwargs)
TypeError: mean_squared_error() got an unexpected keyword argument 'weight'

Looking at current versions of tensorflow :
https://www.tensorflow.org/api_docs/python/tf/losses/mean_squared_error
mean_squared_error(
labels,
predictions,
weights=1.0,
scope=None,
loss_collection=tf.GraphKeys.LOSSES,
reduction=Reduction.SUM_BY_NONZERO_WEIGHTS
)

On a whim I tried modifying
mean_squared_loss = slim.losses.mean_squared_error(xhat,
inputs,
weight=gamma)

to
mean_squared_loss = slim.losses.mean_squared_error(xhat,
inputs,
weights=gamma)

And it seems to work.
.

[taneishi]

Same error and on tf==1.10 it's not work.
Use tf.losses.mean_squared_error() and softmax_cross_entropy() and rename weight to weights.