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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 "SliceLayer.h"
#include "OperationUtils.h"
#include <cker/operation/Slice.h>
namespace onert
{
namespace backend
{
namespace cpu
{
namespace kernel
{
SliceLayer::SliceLayer() : _input(nullptr), _begin(nullptr), _size(nullptr), _output(nullptr)
{
// DO NOTHING
}
template <typename T>
void SliceLayer::GetBeginAndSizeVectors(int dimensions, const operand::Tensor *begin,
const operand::Tensor *size, std::vector<int> *begins,
std::vector<int> *sizes)
{
for (int idx = dimensions - 1; idx >= 0; --idx)
{
begins->push_back(reinterpret_cast<T *>(begin->buffer())[idx]);
sizes->push_back(reinterpret_cast<T *>(size->buffer())[idx]);
}
}
void SliceLayer::sliceFloat32()
{
const int kMaxDim = nnfw::cker::Shape::kMaxSmallSize;
std::vector<int> begins;
std::vector<int> sizes;
begins.reserve(kMaxDim);
sizes.reserve(kMaxDim);
GetBeginAndSizeVectors<int32_t>(_input->num_dimensions(), _begin, _size, &begins, &sizes);
// begins : 0-based, sizes : 1-based
for (int i = _input->num_dimensions(); i < kMaxDim; ++i)
{
begins.push_back(0);
sizes.push_back(1);
}
nnfw::cker::SliceParams op_params;
op_params.begin_count = 4;
op_params.size_count = 4;
for (int i = 0; i < 4; ++i)
{
op_params.begin[i] = begins[3 - i];
op_params.size[i] = sizes[3 - i];
}
nnfw::cker::Slice(op_params, convertToExtendedCkerShape(_input),
reinterpret_cast<const float *>(_input->buffer()),
reinterpret_cast<float *>(_output->buffer()));
}
void SliceLayer::sliceQuant8()
{
// cker quant8 slice is not implemented yet
throw std::runtime_error{"NYI"};
}
void SliceLayer::configure(const operand::Tensor *input, const operand::Tensor *begin,
const operand::Tensor *size, operand::Tensor *output)
{
_input = input;
_output = output;
_begin = begin;
_size = size;
}
void SliceLayer::run()
{
if (_input->data_type() == OperandType::FLOAT32)
{
sliceFloat32();
}
else if (_input->data_type() == OperandType::QUANT8_ASYMM)
{
sliceQuant8();
}
}
} // namespace kernel
} // namespace cpu
} // namespace backend
} // namespace onert
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