code: def forward_chainer(self, inputs):
      dtype = numpy.result_type(*inputs)
      inputs = [x.astype(dtype) for x in inputs]
      (output,) = self.forward_xp(inputs, F)
      output.array = output.array.astype(self.out_dtype)
      return (output,)
  
imports: import numpy
  import chainer
  from chainer import functions
  import chainerx
  from chainerx_tests import dtype_utils
  from chainerx_tests import op_utils
label_desc: Use image node_id 4 for calling the LossBase obj's underlying member method code with example usage: obj.forward_chainer(inputs) and returns: output