code: def generate_inputs(self):
      data_shape = self.x_shape["data_shape"]
      batch_shape = (4,) + (2,) * (self.n_batch_axes - 1)
      x = numpy.random.uniform(-1, 1, batch_shape + data_shape).astype(
          self.x_dtype
      )
      input_size = numpy.prod(data_shape)
      W = numpy.random.uniform(-1, 1, (2, input_size)).astype(
          self.W_dtype
      )
      if self.nobias:
          return x, W
      else:
          b = numpy.random.uniform(-1, 1, 2).astype(self.x_dtype)
          return x, W, b
  
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 3 for calling the TestNonparameterizedLinear obj's underlying member method code with example usage: obj.generate_inputs() and returns: x,  W, x,  W,  b