class_docstr: Concatenate multiple tensors towards specified axis.
class_docstr_tok: ["Concatenate","multiple","tensors","towards","specified","axis","."]
code: def forward_chainerx(self, xs):
      return (chainerx.concatenate(xs, self.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 4 for calling the Concat obj's underlying member method code with example usage: obj.forward_chainerx(xs) and returns: chainerx