class_docstr: Concatenate multiple tensors towards specified axis.
class_docstr_tok: ["Concatenate","multiple","tensors","towards","specified","axis","."]
code: def __init__(self, axis=1):
      if not isinstance(axis, six.integer_types):
          raise TypeError("axis must be int")
  
      self.axis = axis
  
file_path: chainer/chainer/functions/array/concat.py
imports: import numpy
  import six
  import chainer
  from chainer import backend
  from chainer.backends import intel64
  from chainer import function_node
  from chainer.utils import type_check
  import chainerx
label_desc: Use image node_id 1 to create a new Concat object from inherited base classes: function_node with example: obj = Concat(axis)