[BUG] 'gumbel_softmax_activation_5/******/' is not a valid scope name

[INSACY98]

Describe the bug `ValueError: in user code:

/usr/local/lib/python3.7/dist-packages/ydata_synthetic/utils/gumbel_softmax.py:77 call  *
    cat_cols = [GumbelSoftmaxLayer(name=name)(col)[0] for name, col in             zip(self.cat_feats.feat_names_in, cat_cols)]
/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/engine/base_layer.py:1006 __call__  **
    with ops.name_scope_v2(name_scope):
/usr/local/lib/python3.7/dist-packages/tensorflow/python/framework/ops.py:6650 __enter__
    scope_name = scope.__enter__()
/usr/lib/python3.7/contextlib.py:112 __enter__
    return next(self.gen)
/usr/local/lib/python3.7/dist-packages/tensorflow/python/framework/ops.py:4241 name_scope
    raise ValueError("'%s' is not a valid scope name" % name)

ValueError: 'gumbel_softmax_activation_5/*********/' is not a valid scope name`

******* is the cat_cols that we are using in our dataset We can only use num_cols by specifying cat_cols=[]. Any cat_cols with values will cause this error.

Expected behavior How to run VanillaGan and WGAN_GP with categorical features included. Currently, we followed the example in https://github.com/ydataai/ydata-synthetic/blob/dev/examples/regular/adult_wgangp.py

Desktop (please complete the following information): We are working in google colab.

[INSACY98]

We also want to know how to let GAN learn multiple data distributions (5 different distributions) instead of one single normal distribution.

[jfsantos-ds]

Hello @INSACY98! Can you please provide information on the system and the versions of ydata_synthetic and tensorflow libraries in the environment that you are using? Thanks in advance

[INSACY98]

Hi @jfsantos-ds! We are using google colab for coding and the version of the two packages are ydata_synthetic-0.6.1 and TensorFlow-2.4.4. Thanks.

[fabclmnt]

@INSACY98 the GumbelSoftmax implementation has been deactivated.

We will have it activated again, but in the meantime, you will be able to run any architecture while specifying categorical and continuous.