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/*
* Copyright (c) 2019 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 "Sqrt.h"
#include "Convert.h"
namespace tflchef
{
void TFliteOpSqrt::filler(const tflite::Operator *op, TFliteImport *import,
tflchef::ModelRecipe *model_recipe) const
{
// Nothing to do with filler
// But input has filler for constant inputs
const auto &inputs = *op->inputs();
const tflite::Tensor *tensor = import->tensors()->Get(inputs[0]);
if (tensor->type() == tflite::TensorType::TensorType_FLOAT32)
{
const tflite::Buffer *buffer = import->buffers()->Get(tensor->buffer());
if (buffer && buffer->data())
{
auto vec = extract_buffer<float>(buffer);
import->set_tensor_filler(inputs[0], vec);
}
}
}
tflchef::Operation *TFliteOpSqrt::build(const tflite::Operator *op, TFliteImport *import,
tflchef::ModelRecipe *model_recipe) const
{
auto operation = model_recipe->add_operation();
operation->set_type("Sqrt");
return operation;
}
} // namespace tflchef
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