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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 "MeanLayer.h"
#include "OperationUtils.h"
#include <cker/operation/ReduceMean.h>
namespace onert
{
namespace backend
{
namespace cpu
{
namespace ops
{
MeanLayer::MeanLayer() : _input(nullptr), _axes(nullptr), _output(nullptr), _keep_dims(false)
{
// DO NOTHING
}
void MeanLayer::MeanFloat32()
{
const auto inputShape = getShape(_input);
const auto axisVec = getReducerAxes(_axes);
bool axis_is_1_and_2 =
_keep_dims && inputShape.DimensionsCount() == 4 && axisVec.size() == 2 &&
((axisVec[0] == 1 && axisVec[1] == 2) || (axisVec[0] == 2 && axisVec[1] == 1));
if (axis_is_1_and_2)
{
nnfw::cker::MeanAxis1And2(inputShape, getBuffer<float>(_input), getShape(_output),
getBuffer<float>(_output));
}
else
{
nnfw::cker::Mean(inputShape, getBuffer<float>(_input), getShape(_output),
getBuffer<float>(_output), axisVec);
}
}
void MeanLayer::MeanQuant8()
{
nnfw::cker::MeanQ8Asymm(getShape(_input), getBuffer<uint8_t>(_input), _input->data_scale(),
_input->data_zero_point(), getShape(_output), getBuffer<uint8_t>(_output),
_output->data_scale(), _output->data_zero_point(), getReducerAxes(_axes));
}
void MeanLayer::configure(const IPortableTensor *input, const IPortableTensor *axes,
IPortableTensor *output, bool keep_dims)
{
_input = input;
_axes = axes;
_output = output;
_keep_dims = keep_dims;
if (_input->data_type() != OperandType::FLOAT32 &&
_input->data_type() != OperandType::QUANT_UINT8_ASYMM)
throw std::runtime_error{"Mean: unsupported data type"};
}
void MeanLayer::run()
{
if (_input->data_type() == OperandType::FLOAT32)
{
MeanFloat32();
}
else if (_input->data_type() == OperandType::QUANT_UINT8_ASYMM)
{
MeanQuant8();
}
else
{
throw std::runtime_error{"Mean: unsupported data type"};
}
}
} // namespace ops
} // namespace cpu
} // namespace backend
} // namespace onert
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