code: def forward_expected(self, inputs):
      x, W = inputs[:2]
      if self.n_batch_axes > 1:
          batch_shape = x.shape[: self.n_batch_axes]
          batch_size = numpy.prod(batch_shape)
          x = x.reshape(batch_size, -1)
      y = x.dot(W.T)
      if not self.nobias:
          y += inputs[-1]
      if self.n_batch_axes > 1:
          y = y.reshape(batch_shape + (-1,))
      return (y.astype(self.x_dtype),)
  
imports: import unittest
  import numpy
  import pytest
  import chainer
  from chainer import functions
  from chainer import testing
  from chainer.testing import backend
label_desc: Use image node_id 4 for calling the TestNonparameterizedLinear obj's underlying member method code with example usage: obj.forward_expected(inputs) and returns: y