1#
2# Copyright (C) 2018 The Android Open Source Project
3#
4# Licensed under the Apache License, Version 2.0 (the "License");
5# you may not use this file except in compliance with the License.
6# You may obtain a copy of the License at
7#
8#      http://www.apache.org/licenses/LICENSE-2.0
9#
10# Unless required by applicable law or agreed to in writing, software
11# distributed under the License is distributed on an "AS IS" BASIS,
12# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13# See the License for the specific language governing permissions and
14# limitations under the License.
15#
16
17model = Model()
18i1 = Input("input", "TENSOR_FLOAT32", "{1, 1, 1, 6}")
19radius = Int32Scalar("radius", 20)
20bias = Float32Scalar("bias", 9.)
21alpha = Float32Scalar("alpha", 4.)
22beta = Float32Scalar("beta", .5)
23output = Output("output", "TENSOR_FLOAT32", "{1, 1, 1, 6}")
24
25model = model.Operation("LOCAL_RESPONSE_NORMALIZATION", i1, radius, bias, alpha, beta).To(output)
26model = model.RelaxedExecution(True)
27
28# Example 1. Input in operand 0,
29input0 = {i1: # input 0
30          [-1.1, .6, .7, 1.2, -.7, .1]}
31
32output0 = {output: # output 0
33           [-.22, .12, .14, .24, -.14, .02]}
34
35# Instantiate an example
36Example((input0, output0))
37