ProgressBar issue

[tsitsilin]

I downloaded the package and upgraded TensorFlow to v0.9. However, the first test run did not work:

python main-vae.py -- working_directory /tmp/gan
Successfully downloaded train-images-idx3-ubyte.gz 9912422 bytes.
Extracting MNIST/train-images-idx3-ubyte.gz
Successfully downloaded train-labels-idx1-ubyte.gz 28881 bytes.
Extracting MNIST/train-labels-idx1-ubyte.gz
Successfully downloaded t10k-images-idx3-ubyte.gz 1648877 bytes.
Extracting MNIST/t10k-images-idx3-ubyte.gz
Successfully downloaded t10k-labels-idx1-ubyte.gz 4542 bytes.
Extracting MNIST/t10k-labels-idx1-ubyte.gz
Traceback (most recent call last):
  File "main-vae.py", line 143, in <module>
    pbar = ProgressBar(max_value = FLAGS.updates_per_epoch, widgets=widgets)
TypeError: __init__() got an unexpected keyword argument 'max_value'

Apparently, something was changed in the ProgressBar package recently. Quick look at the examples revealed that maxval arg should be used rather than max_value.
Original:
pbar = ProgressBar(max_value = FLAGS.updates_per_epoch, widgets=widgets)
Modified:
pbar = ProgressBar(maxval = FLAGS.updates_per_epoch, widgets=widgets)
With this fix the package seems to work.

[tigerneil]

thanks @tsitsilin

[baniyan]

This helped me. @tsitsilin