class_docstr: Takes a list of inputs, each with a shape CHWN, and transposes
  to HWCN, then concatenates along the HWC axis.
class_docstr_tok: ["Takes","a","list","of","inputs",",","each","with","a","shape","CHWN",",","and","transposes","to","HWCN",",","then","concatenates","along","the","HWC","axis","."]
code: def __init__(self, name=None, parallelism="Disabled"):
      super(ConcatTranspose, self).__init__(
          name, parallelism=parallelism
      )
  
imports: from neon.layers.layer import Layer, ParameterLayer
  import numpy
  from neon.transforms import Softmax
  from neon.initializers.initializer import Constant
  import math
  from collections import OrderedDict
label_desc: Use image node_id 1 to create a new ConcatTranspose object from inherited base classes: Layer with example: obj = ConcatTranspose(name, parallelism)