code: def DISABLED_test_keras_model_to_graph_def_functional_sequential_model(
      self,
  ):
      expected_proto = """
              node {
                name: "model/func_seq_input"
                attr {
                  key: "dtype"
                  value {
                    type: DT_FLOAT
                  }
                }
                attr {
                  key: "keras_class"
                  value {
                    s: "InputLayer"
                  }
                }
              }
              node {
                name: "model/sequential/dense_input"
                input: "model/func_seq_input"
                attr {
                  key: "dtype"
                  value {
                    type: DT_FLOAT
                  }
                }
                attr {
                  key: "keras_class"
                  value {
                    s: "InputLayer"
                  }
                }
              }
              node {
                name: "model/sequential/dense"
                input: "model/sequential/dense_input"
                attr {
                  key: "dtype"
                  value {
                    type: DT_FLOAT
                  }
                }
                attr {
                  key: "keras_class"
                  value {
                    s: "Dense"
                  }
                }
              }
              node {
                name: "model/sequential/my_relu"
                input: "model/sequential/dense"
                attr {
                  key: "dtype"
                  value {
                    type: DT_FLOAT
                  }
                }
                attr {
                  key: "keras_class"
                  value {
                    s: "Activation"
                  }
                }
              }
              node {
                name: "model/dense_1"
                input: "model/sequential/my_relu"
                attr {
                  key: "dtype"
                  value {
                    type: DT_FLOAT
                  }
                }
                attr {
                  key: "keras_class"
                  value {
                    s: "Dense"
                  }
                }
              }
          """
      inputs = keras.layers.Input(shape=(784,), name="func_seq_input")
      sub_model = keras.models.Sequential(
          [
              keras.layers.Dense(32, input_shape=(784,)),
              keras.layers.Activation("relu", name="my_relu"),
          ]
      )
      dense = keras.layers.Dense(64, activation="relu")
  
      model = keras.models.Model(
          inputs=inputs, outputs=dense(sub_model(inputs))
      )
  
      self.assertGraphDefToModel(expected_proto, model)
  
file_path: tensorboard/tensorboard/plugins/graph/keras_util_test.py
imports: import json
  import tensorflow
  from tensorboard.plugins.graph import keras_util
label_desc: Use image node_id 9 for calling the KerasUtilTest obj's underlying member method code with example usage: obj.DISABLED_test_keras_model_to_graph_def_functional_sequential_model() without return types