code: def forward(self, inputs):
      self.retain_inputs((0,))
      self.retain_outputs((0,))
      xp = backend.get_array_module(*inputs)
  
      (x,) = inputs
      m = x.max(axis=self.axis, keepdims=True)
      y = utils.force_array(x - m)
      xp.exp(y, out=y)
      y_sum = y.sum(axis=self.axis)
      y = xp.asarray(xp.log(y_sum) + m.reshape(y_sum.shape))
      return (y,)
  
file_path: chainer/chainer/functions/math/logsumexp.py
imports: import six
  import chainer
  from chainer import backend
  from chainer import function_node
  from chainer import utils
  from chainer.utils import type_check
  import chainerx
label_desc: Use image node_id 4 for calling the LogSumExp obj's underlying member method code with example usage: obj.forward(inputs) and returns: y