Missing error "TypeError: Tensors...that don't all match" in python 3

Traceback (most recent call last):
  File"/Users/oshikawaakinobu/anaconda3/lib/python 3.6/site-packages/tensorflow/python/framework/op_def_library.py", line458, in_apply_op_helper
    raiseTypeError()#All types should match.
TypeError

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "run_mnist.py", line 235, in<module>
    main(parser.parse_args())
  File "run_mnist.py", line 137, in main
    pred=deep_mnist(args,x,train_phase)
  File"/Users/oshikawaakinobu/mnist_model.py", line 35, deep_mnist
    cv1 = hn_lite.conv2d(x,nf,fs,padding='SAME',n_rings=nr,name='1')
  File"/Users/oshikawaakinobu/harmonic_network_lite.py", line 38, in conv2d
    name = name )
  File"/Users/oshikawaakinobu/harmonic_network_ops.py", line 56, in h_conv
    new_shape=tf.concat(axis=0, values=[Ysh[:3], [max_order+1,2], [Ysh[3]/(2*(max_order+1)))]])
  File"/Users/oshikawaakinobu/anaconda3/lib/python 3.6/site-packages/tensorflow/python/ops/array_ops.py", line 1113, in concat
    return gen_array_ops.concat_v2(values=values,axis=axis,name=name)
  File"/Users/oshikawaakinobu/anaconda3/lib/python 3.6/site-packages/tensorflow/python/ops/gen_array_ops.py", line 1029, inconcat_v2
    "ConcatV2", values=values, axis=axis, name=name)
  File"/Users/oshikawaakinobu/anaconda3/lib/python 3.6/site-packages/tensorflow/python/framework/op_def_library.py", line483, in_apply_op_helper
    raise TypeError("%s that don't all match."%prefix)
TypeError: Tensors in list passed to 'values' of 'ConcatV2' Op have types [int32, int32, float32] that don't all match.