TypeError: Expected int32, got list containing Tensors of type '_Message' instead

[rrjia]

hi,
when i run the "python train.py", it always raise exception, TypeError: Expected int32, got list containing Tensors of type '_Message' instead, in the phrase "y_disc = tf.concat(0, [y, y * 0])", but i look tensorflow API find it was right , but in tensorflow 1.0.0 can't work, so i find your help, thanks

Ruoran Jia

[jms90h5]

I got the same behavior. On the surface it appeard that the order of the arguments passed to the tf.concat function is reversed, at least according to the current tf docs which have has the axis after the values. After switching their order the code gets a bit further but then dies on this statement:

xx = tf.concat([x, gen], 0)

with this error:

Shape must be rank 3 but is rank 4 for 'concat_1' (op: 'ConcatV2')...

[adonishong]

got same issue here...

[jiadingfang]

Get exactly the same problem here, please help.

[ucsky]

I go exactly the same error message coming from line 62 in train.py.
My version of tensorflow is 1.1.0 and my version of sugartensor is 1.0.0.2.
My input data look like:

   time,Temperature,Humidity                                                                                                                                                                                
   1,23.18,27.272                                                                                                                                                                                           
   2,23.15,27.2675                                                                                                                                                                                          
   3,23.15,27.245                                                                                                                                                                                           
   4,23.15,27.2                                                                                                                                                                                             
   5,23.1,27.2                                                                                                                                                                                              
   6,23.1,27.2                                                                                                                                                                                              
   7,23.1,27.2                                                                                                                                                                                              
   8,23.1,27.2                                                                                                                                                                                              
   9,23.1,27.2 

[zhiweiSunday]

@ucsky Hi, did you solve this problem? I met the same error here.

[zhiweiSunday]

Hi，I'm not sure if my method is correct, but it's not going to be error

in train.py:
change
y_disc = tf.concat(0,[y, y * 0])
to
y_disc = tf.concat([y, y * 0],0)

and
change
xx = tf.concat(0,[x, gen])
to
xx = tf.concat([x, gen],0)

after trained
but I met the error #4 ,maybe this is not correct

[llbboo]

hi, have you solved this problem. i met same problem at
xx = tf.convat([x, gen], 0]

it occurs errors like this:
Shape must be rank 2 but is rank 4 for 'concat_1' (op: 'ConcatV2') with input shapes