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", 0.) 21alpha = Float32Scalar("alpha", 1.) 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 [-.55, .3, .35, .6, -.35, .05]} 34 35# Instantiate an example 36Example((input0, output0)) 37