code: def forward_chainer(self, inputs):
      if len(inputs) == 3:
          x, w, b = inputs
      else:
          (x, w), b = inputs, None
      if x.dtype.kind != "f":
          x = F.cast(x, "float64")
      if w.dtype.kind != "f":
          w = F.cast(w, "float64")
      if b is not None and b.dtype.kind != "f":
          b = F.cast(b, "float64")
      y = chainer.functions.deconvolution_nd(
          x, w, b, self.stride, self.pad, self.outsize
      )
      y = F.cast(y, self.out_dtype)
      return (y,)
  
imports: import unittest
  import chainer
  from chainer import functions
  import numpy
  import pytest
  import chainerx
  from chainerx_tests import array_utils
  from chainerx_tests import dtype_utils
  from chainerx_tests import op_utils
label_desc: Use image node_id 4 for calling the _ConvTransposeTestBase obj's underlying member method code with example usage: obj.forward_chainer(inputs) and returns: y