code: def _get_quant_params(self, quantizer_type):
      if quantizer_type == quantizers.NoQuantizer:
          return {}
      elif quantizer_type == quantizers.FixedQuantizer:
          return {
              "num_bits": 8,
              "init_min": 0.0,
              "init_max": 1.0,
              "narrow_range": False,
          }
  
      return {
          "num_bits": 8,
          "per_axis": False,
          "symmetric": False,
          "narrow_range": False,
      }
  
file_path: model-optimization/tensorflow_model_optimization/python/core/quantization/keras/quantizers_test.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from absl.testing import parameterized
  import numpy
  import tensorflow
  from tensorflow_model_optimization.python.core.keras import compat
  from tensorflow_model_optimization.python.core.quantization.keras import quantizers
  from tensorflow_model_optimization.python.core.quantization.keras import utils
label_desc: Use image node_id 1 for calling the QuantizersTest obj's underlying member method code with example usage: obj._get_quant_params(quantizer_type) and returns: dict, dict, dict