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