It's a great job!!! When I run the cmd, python NIPS_figures.py --data artificial --save_dir layer1, an error happened like below, I wonder how to solve.

Traceback (most recent call last):
File "/AdaptiveOptim/NIPS_figures.py", line 249, in
network = LinearNetwork(D, 1, gpu_usage=gpu_usage, exp_dir=NAME_EXP)
File "\AdaptiveOptim\adaopt\linear_network.py", line 28, in init
super().init(n_layers=n_layers, name=name, **kwargs)
File "\AdaptiveOptim\adaopt_loptim_network.py", line 22, in init
self._construct()
File "\AdaptiveOptim\adaopt_loptim_network.py", line 77, in _construct
self._train = self._mk_training_step()
File "\AdaptiveOptim\adaopt\linear_network.py", line 153, in _mk_training_step
_reg = tf.add_n(tf.get_collection("regularisation"))
File "C:\Anaconda3\envs\tensorflow-gpu\lib\site-packages\tensorflow\python\ops\math_ops.py", line 2222, in add_n
raise ValueError("inputs must be a list of at least one Tensor with the "
ValueError: inputs must be a list of at least one Tensor with the same dtype and shape

I use the cmd :
python NIPS_figures.py --data artificial --save_dir layer1

and I get the error:

 Traceback (most recent call last):
  File "NIPS_figures.py", line 305, in <module>
    lr_init=lr_init/n_layers)
  File "/Users/Sadjad/git/AdaptiveOptim/Lcod/facto_network.py", line 226, in train
    self._feed_val = self._convert_feed(feed_val)
  File "/Users/Sadjad/git/AdaptiveOptim/Lcod/_loptim_network.py", line 305, in _convert_feed
    for k, v in feed.items():
AttributeError: 'int' object has no attribute ‘items' 

The modifications I made to the code (I am running this on mac OS, so I don’t have GPU):
Since I have my tensorflow installed with python2.7.13, I had to replace:

• super() with super(ChildClassName, self)
• FileNotFoundError with IOError

I have numpy 1.12.0, matplotlib 1.5.3, and sklearn 0.17.1