code: def testAllValuesQuantiize_TrainingAssign(self):
      min_value, max_value = self._GetMinMaxValues(
          quant_ops.AllValuesQuantize,
          [tf.constant([-5.0, 1.0]), tf.constant([-1.0, 5.0])],
      )
  
      self.assertEqual(min_value, -5.0)
      self.assertEqual(max_value, 5.0)
  
file_path: model-optimization/tensorflow_model_optimization/python/core/quantization/keras/quant_ops_test.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import tensorflow
  from tensorflow_model_optimization.python.core.keras import compat
  from tensorflow_model_optimization.python.core.quantization.keras import quant_ops
label_desc: Use image node_id 1 for calling the QuantOpsTest obj's underlying member method code with example usage: obj.testAllValuesQuantiize_TrainingAssign() without return types