Do you have more of an error message or a line of code? This looks like it is either from changes to arg order in TF that StackGAN does not support or a registration problem for Pretty Tensor objects.

Thank you for your response. The problem occurs in line 64 of demo.py. Here's the full error message.

Traceback (most recent call last):
  File "demo/demo.py", line 192, in <module>
    build_model(sess, embeddings.shape[-1], batch_size)
  File "demo/demo.py", line 64, in build_model
    fake_images = model.get_generator(tf.concat(1, [c, z]))
  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/array_ops.py", line 1047, in concat
    dtype=dtypes.int32).get_shape(
  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/ops.py", line 651, in convert_to_tensor
    as_ref=False)
  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/ops.py", line 716, in internal_convert_to_tensor
    ret = conversion_func(value, dtype=dtype, name=name, as_ref=as_ref)
  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/constant_op.py", line 176, in _constant_tensor_conversion_function
    return constant(v, dtype=dtype, name=name)
  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/constant_op.py", line 165, in constant
    tensor_util.make_tensor_proto(value, dtype=dtype, shape=shape, verify_shape=verify_shape))
  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/tensor_util.py", line 367, in make_tensor_proto
    _AssertCompatible(values, dtype)
  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/tensor_util.py", line 302, in _AssertCompatible
    (dtype.name, repr(mismatch), type(mismatch).__name__))
TypeError: Expected int32, got <prettytensor.pretty_tensor_class.Layer object at 0x7ff261e9ac10> of type 'Layer' instead.

Thank you I will reach out to them.

@nsarafianos I just ran into the same issue. Fixed it by changing the TF concat order:

https://www.tensorflow.org/install/migration

@evanfeinberg Thank you

@evanfeinberg It works. thanks!

@evanfeinberg Could you please elaborate on what exactly what needed to be changed?

@EruditeStranger From the TF migration page: tf.concat arguments have been reordered to tf.concat(values, axis, name='concat') whereas in line 64 of the demo it's the other way around (i.e., tf.concat(1, [c, z])). So if I remember correctly you just swap the 1 with [c,z] and you're good to go.

@nsarafianos Just to be clear, were you suggesting reordering the arguments to tf.concat([c, z],1)? Because it doesn't seem to work for me.
I really apologize if this seems like a silly question; I've only just started with GANs.

My apologies - it did in fact, work. This bug led me to change a whole bunch of the code that had compatibility issues with TensorFlow 1.0

Thanks a bunch, @nsarafianos @evanfeinberg!

i'm facing the same issue, i already tried reordering of tf.concat but din't work out for me. please suggest something. Thanks @nsarafianos @evanfeinberg @EruditeStranger @eiderman

@nsarafianos @EruditeStranger @seongkyun @evanfeinberg Actually it works for me after I changed the tf.concat(1, [c, z]) 【argument in TF1.0】to tf.concat([c, z],1)【argument in TF0.12】, but after changed, I am facing another issue happend in line: x_code = self.d_encode_img_template.construct(input= x_var).
the error is# ValueError: too many values to unpack.
Have you or anyone else face this issue when reproduce StackGAN, and what may be the possible solutions?
Thank you.

It seem that he/she also faces this issue: hanzhanggit/StackGAN#27

@cw1091293482 I am facing a different issue than you are. But it is of the same root cause... the authors need to list the exact versions of the libraries they used in a requirements file so that we can replicate their buildout without modifying their code.

How in details did you overcome the compatibility issues? @EruditeStranger
I have the same problem. Thanks in advance