code: def forward_chainerx(self, inputs):
      # TODO(niboshi): Support dtype casting in ChainerX
      if inputs[0].dtype != inputs[1].dtype:
          return chainer.Fallback
  
      # Generic implementation
      if len(inputs) == 3:
          x, W, b = inputs
          if x.dtype != b.dtype:
              return chainer.Fallback
          return (chainerx.linear(x, W, b),)
      else:
          x, W = inputs
          return (chainerx.linear(x, W),)
  
imports: import numpy
  from chainer import backend
  from chainer.backends import intel64
  from chainer import function_node
  import chainer.functions
  from chainer.graph_optimizations import static_code
  from chainer import utils
  from chainer.utils import type_check
  import chainerx
label_desc: Use image node_id 4 for calling the LinearFunction obj's underlying member method code with example usage: obj.forward_chainerx(inputs) and returns: chainer, chainerx, chainerx, chainer