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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 "SplitLayer.h"
#include "OperationUtils.h"
#include <cker/operation/Split.h>
namespace onert
{
namespace backend
{
namespace cpu
{
namespace kernel
{
SplitLayer::SplitLayer() : _input(nullptr), _num_splits(0), _axis(0), _outputs()
{
// DO NOTHING
}
void SplitLayer::splitFloat32()
{
nnfw::cker::SplitParams op_params;
op_params.axis = _axis;
op_params.num_split = _num_splits;
std::vector<nnfw::cker::Shape *> outputDimsPtr;
std::vector<nnfw::cker::Shape> outputDims;
outputDimsPtr.reserve(_num_splits);
outputDims.reserve(_num_splits);
for (uint32_t i = 0; i < _num_splits; i++)
{
outputDims.push_back(convertTensorToCkerShape(_outputs[i]));
outputDimsPtr.push_back(&outputDims[i]);
}
std::vector<float *> outputFloatPtrs;
for (const auto output : _outputs)
{
outputFloatPtrs.emplace_back(reinterpret_cast<float *>(output->buffer()));
}
nnfw::cker::Split<float>(op_params, convertTensorToCkerShape(_input),
reinterpret_cast<float *>(_input->buffer()),
convertTensorToCkerShape(_outputs[0]), outputFloatPtrs.data());
}
void SplitLayer::splitQuant8() { throw std::runtime_error{"Split: NYI quant8 type"}; }
void SplitLayer::configure(const operand::Tensor *input, uint16_t num_splits, int16_t axis,
std::vector<operand::Tensor *> &outputs)
{
assert(input != nullptr);
_num_splits = num_splits;
_input = input;
_axis = axis;
_outputs = outputs;
}
void SplitLayer::run()
{
if (_input->data_type() == OperandType::FLOAT32)
{
splitFloat32();
}
else if (_input->data_type() == OperandType::QUANT8_ASYMM)
{
splitQuant8();
}
else
{
throw std::runtime_error{"Split: Unsupported input type"};
}
}
} // namespace kernel
} // namespace cpu
} // namespace backend
} // namespace onert
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