#
# 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.
#

model = Model()
i1 = Input("input", "TENSOR_FLOAT32", "{1, 1, 1, 6}")
radius = Int32Scalar("radius", 20)
bias = Float32Scalar("bias", 9.)
alpha = Float32Scalar("alpha", 4.)
beta = Float32Scalar("beta", .5)
output = Output("output", "TENSOR_FLOAT32", "{1, 1, 1, 6}")

model = model.Operation("LOCAL_RESPONSE_NORMALIZATION", i1, radius, bias, alpha, beta).To(output)
model = model.RelaxedExecution(True)

# Example 1. Input in operand 0,
input0 = {i1: # input 0
          [-1.1, .6, .7, 1.2, -.7, .1]}

output0 = {output: # output 0
           [-.22, .12, .14, .24, -.14, .02]}

# Instantiate an example
Example((input0, output0))