training problem

[tuqiangwang]

Training on dataset ADE20k
Building computational graph ...
Training on ADE20k
Training on ADE20k
<------------ Building global image generator architecture ------------>
Sampling noise...
Traceback (most recent call last):
File "/home/tq/.local/lib/python3.5/site-packages/tensorflow/python/framework/ops.py", line 1567, in _create_c_op
c_op = c_api.TF_FinishOperation(op_desc)
tensorflow.python.framework.errors_impl.InvalidArgumentError: Dimension 2 in both shapes must be equal, but are 32 and 64. Shapes are [?,?,32] and [?,32,64]. for 'generator/concat' (op: 'ConcatV2') with input shapes: [?,?,32,8], [?,32,64,8], [] and with computed input tensors: input[2] = <-1>.

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "train.py", line 119, in
main()
File "train.py", line 116, in main
train(config_train, args)
File "train.py", line 34, in train
gan = Model(config, paths, name=args.name, dataset=args.dataset)
File "/home/tq/generative-compression-master/model.py", line 77, in init
self.z = tf.concat([self.w_hat, Gv], axis=-1)
File "/home/tq/.local/lib/python3.5/site-packages/tensorflow/python/ops/array_ops.py", line 1189, in concat
return gen_array_ops.concat_v2(values=values, axis=axis, name=name)
File "/home/tq/.local/lib/python3.5/site-packages/tensorflow/python/ops/gen_array_ops.py", line 953, in concat_v2
"ConcatV2", values=values, axis=axis, name=name)
File "/home/tq/.local/lib/python3.5/site-packages/tensorflow/python/framework/op_def_library.py", line 787, in _apply_op_helper
op_def=op_def)
File "/home/tq/.local/lib/python3.5/site-packages/tensorflow/python/framework/ops.py", line 3392, in create_op
op_def=op_def)
File "/home/tq/.local/lib/python3.5/site-packages/tensorflow/python/framework/ops.py", line 1734, in init
control_input_ops)
File "/home/tq/.local/lib/python3.5/site-packages/tensorflow/python/framework/ops.py", line 1570, in _create_c_op
raise ValueError(str(e))
ValueError: Dimension 2 in both shapes must be equal, but are 32 and 64. Shapes are [?,?,32] and [?,32,64]. for 'generator/concat' (op: 'ConcatV2') with input shapes: [?,?,32,8], [?,32,64,8], [] and with computed input tensors: input[2] = <-1>.

what can i do ?

[SusmithBarigidad]

I am receiving the same error? Any leads