class_docstr: Concatenates the Tensors passed into it along the channels dimension.
class_docstr_tok: ["Concatenates","the","Tensors","passed","into","it","along","the","channels","dimension","."]
code: def name(self):
      return "concat"
  
imports: import abc
  import collections
  import enum
  import time
  from absl import logging
  from model_search import block_builder
  from model_search import utils
  from model_search.architecture import architecture_utils
  from model_search.proto import phoenix_spec_pb2
  import tensorflow.compat.v2
label_desc: Use image node_id 1 for calling the ConcatCombiner obj's underlying member method code with example usage: obj.name() and returns: str