text: #
  # Copyright (C) 2018 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.
  #
  
  input0 = Input("input0", "TENSOR_FLOAT32", "{2, 3}")
  multipliers = Input("multipliers", "TENSOR_INT32", "{2}")
  output0 = Output("output0", "TENSOR_FLOAT32", "{4, 3}")
  
  model = Model().Operation("TILE", input0, multipliers).To(output0)
  
  input_values = [11, 12, 13,
                  21, 22, 23]
  multiplier_values = [2, 1]
  output_values = [11, 12, 13,
                   21, 22, 23,
                   11, 12, 13,
                   21, 22, 23]
  
  quant8 = DataTypeConverter().Identify({
      input0: ["TENSOR_QUANT8_ASYMM", 0.5, 127],
      output0: ["TENSOR_QUANT8_ASYMM", 0.5, 127],
  })
  
  int32 = DataTypeConverter().Identify({
      input0: ["TENSOR_INT32"],
      output0: ["TENSOR_INT32"],
  })
  
  float16 = DataTypeConverter().Identify({
      input0: ["TENSOR_FLOAT16"],
      output0: ["TENSOR_FLOAT16"],
  })
  
  Example({
      input0: input_values,
      multipliers: multiplier_values,
      output0: output_values,
  }).AddVariations("relaxed", float16, quant8, int32)
  