text: #
  # Copyright (C) 2017 The Android Open Source Project
  #
  # Licensed under the Apache License, Version 2.0 (the "License");
  # you may not use this file except in compliance with the License.
  # You may obtain a copy of the License at
  #
  #      http://www.apache.org/licenses/LICENSE-2.0
  #
  # Unless required by applicable law or agreed to in writing, software
  # distributed under the License is distributed on an "AS IS" BASIS,
  # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  # See the License for the specific language governing permissions and
  # limitations under the License.
  #
  
  model = Model()
  in0 = Input("op1", "TENSOR_QUANT8_ASYMM", "{3, 1}, 0.5f, 0")
  weights = Parameter("op2", "TENSOR_QUANT8_ASYMM", "{1, 1}, 0.5f, 0", [2])
  bias = Parameter("b0", "TENSOR_INT32", "{1}, 0.25f, 0", [4])
  out0 = Output("op3", "TENSOR_QUANT8_ASYMM", "{3, 1}, 1.f, 0")
  act = Int32Scalar("act", 0)
  model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act).To(out0)
  
  # Example 1. Input in operand 0,
  input0 = {in0: # input 0
            [2, 32, 16]}
  output0 = {out0: # output 0
                 [2, 17, 9]}
  
  # Instantiate an example
  Example((input0, output0))
  