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/*
* Copyright (c) 2020 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 "kernels/Sqrt.h"
#include "kernels/Utils.h"
#include <cmath>
namespace luci_interpreter
{
namespace kernels
{
Sqrt::Sqrt(const Tensor *input, Tensor *output) : Kernel({input}, {output}) {}
void Sqrt::configure()
{
if (input()->element_type() != output()->element_type())
{
assert(false && "Input/output tensor data type mismatch.");
}
// TODO: enable it only if kernel with dynamic shapes
output()->resize(input()->shape());
}
void Sqrt::execute() const
{
switch (input()->element_type())
{
case DataType::FLOAT32:
evalFloat();
break;
default:
assert(false && "Unsupported type.");
}
}
void Sqrt::evalFloat() const
{
auto in = getTensorData<float>(input());
auto out = getTensorData<float>(output());
auto size = getTensorShape(input()).FlatSize();
for (auto i = in; i != in + size; ++i)
{
*out = std::sqrt(*i);
++out;
}
}
} // namespace kernels
} // namespace luci_interpreter
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