code: def generate_inputs(self):
      x = numpy.random.uniform(-0.01, 0.01, self.shape).astype(
          self.dtype
      )
      x += numpy.eye(self.shape[-1])
      return (x,)
  
imports: import unittest
  import numpy
  import chainer
  from chainer.backends import cuda
  from chainer import functions
  from chainer import testing
  from chainer.testing import attr
  from chainer.utils import type_check
label_desc: Use image node_id 2 for calling the BatchInvFunctionTest obj's underlying member method code with example usage: obj.generate_inputs() and returns: x