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/*
* Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved
*
* 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.
*/
#include "LocalResponseNormalization.h"
#include "Convert.h"
namespace tflchef
{
void TFliteOpLocalResponseNormalization::filler(const tflite::Operator *op, TFliteImport *import,
tflchef::ModelRecipe *model_recipe) const
{
// Nothing to do with filler
}
tflchef::Operation *
TFliteOpLocalResponseNormalization::build(const tflite::Operator *op, TFliteImport *import,
tflchef::ModelRecipe *model_recipe) const
{
auto op_params = op->builtin_options_as_LocalResponseNormalizationOptions();
assert(op_params != nullptr);
auto operation = model_recipe->add_operation();
operation->set_type("LocalResponseNormalization");
auto op_options = operation->mutable_local_response_normalization_options();
op_options->set_radius(op_params->radius());
op_options->set_bias(op_params->bias());
op_options->set_alpha(op_params->alpha());
op_options->set_beta(op_params->beta());
return operation;
}
} // namespace tflchef
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