code: def _create_test_data(self, model):
      x = np.random.randn(
          *self._batch(model.input.get_shape().as_list(), 1)
      ).astype("float32")
      y = np.random.randn(
          *self._batch(model.output.get_shape().as_list(), 1)
      ).astype("float32")
  
      return x, y
  
imports: import tempfile
  from absl.testing import parameterized
  import numpy
  import tensorflow
  from tensorflow_model_optimization.python.core.quantization.keras import quantize
  from tensorflow_model_optimization.python.core.quantization.keras import utils
label_desc: Use image node_id 2 for calling the QuantizeNumericalTest obj's underlying member method code with example usage: obj._create_test_data(model) and returns: x,  y