code: def generate_inputs(self):
      x, t = super().generate_inputs()
      mask = numpy.abs(numpy.abs(x - t) - self.delta) > 1e-3
      return x * mask, t * mask
  
imports: import numpy
  import chainer
  from chainer import functions
  import chainerx
  from chainerx_tests import dtype_utils
  from chainerx_tests import op_utils
label_desc: Use image node_id 1 for calling the TestHuberLoss obj's underlying member method code with example usage: obj.generate_inputs() and returns: unknown,  unknown