code: def testDoesNotSupport_RNNLayerWithCustomRNNCell(self):
      class MinimalRNNCell(l.Layer):
          def __init__(self, units, **kwargs):
              self.units = units
              self.state_size = units
              super(MinimalRNNCell, self).__init__(**kwargs)
  
      self.assertFalse(
          self.quantize_registry.supports(
              l.RNN(cell=MinimalRNNCell(10))
          )
      )
      self.assertFalse(
          self.quantize_registry.supports(
              l.RNN(cell=[l.LSTMCell(10), MinimalRNNCell(10)])
          )
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import unittest
  from absl.testing import parameterized
  import numpy
  import tensorflow
  from tensorflow_model_optimization.python.core.quantization.keras import quantizers
  from tensorflow_model_optimization.python.core.quantization.keras import utils
  from tensorflow_model_optimization.python.core.quantization.keras.default_8bit import default_8bit_quantize_registry
label_desc: Use image node_id 6 for calling the QuantizeRegistryTest obj's underlying member method code with example usage: obj.testDoesNotSupport_RNNLayerWithCustomRNNCell() without return types