code: def modelTestSingleLayer(
      self,
      input_data,
      output_layer,  # a keras layer
      random_weights=True,
      dump_weights=False,
      is_training=False,
      rtol=1e-6,
      atol=1e-6,
      functional_apis=[True, False],
  ):
      for api in functional_apis:
          self._do_modelTestSingleLayer(
              input_data,
              output_layer,  # a keras layer
              functional_api=api,
              random_weights=random_weights,
              dump_weights=dump_weights,
              is_training=is_training,
              rtol=rtol,
              atol=atol,
          )
  
imports: from __future__ import print_function
  import numpy
  from keras.models import Sequential, Model
  from keras.layers.core import *
  from keras.layers.convolutional import *
  from keras.layers import Dense, Dropout, Input
  from keras.optimizers import RMSprop
  from bigdl.dllib.utils.common import *
  from bigdl.dllib.keras.converter import *
  from bigdl.dllib.keras.converter import WeightLoader, WeightsConverter
  import numpy
  from unittest import TestCase
  import keras
  from bigdl.dllib.nn.keras.keras_utils import *
label_desc: Use image node_id 11 for calling the BigDLTestCase obj's underlying member method code with example usage: obj.modelTestSingleLayer(input_data, output_layer, random_weights, dump_weights, is_training, rtol, atol, functional_apis) without return types