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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 "StridedSliceLayer.h"
#include "OperationUtils.h"
#include <cker/operation/StridedSlice.h>
namespace onert
{
namespace backend
{
namespace cpu
{
namespace kernel
{
StridedSliceLayer::StridedSliceLayer()
: _input(nullptr), _begin(nullptr), _end(nullptr), _strides(nullptr), _output(nullptr),
_begin_mask(0), _ellipsis_mask(0), _end_mask(0), _new_axis_mask(0), _shrink_axis_mask(0),
_rank(0)
{
}
void StridedSliceLayer::stridedSliceFloat32()
{
auto op_params = nnfw::cker::buildStridedSliceParams(
reinterpret_cast<uint32_t *>(_begin->buffer()), reinterpret_cast<uint32_t *>(_end->buffer()),
reinterpret_cast<uint32_t *>(_strides->buffer()), _begin_mask, _end_mask, _shrink_axis_mask,
_rank);
nnfw::cker::checkOutputSize(op_params, convertTensorToCkerShape(_input),
convertTensorToCkerShape(_output), _rank);
nnfw::cker::StridedSlice(op_params, convertTensorToCkerShape(_input),
reinterpret_cast<const float *>(_input->buffer()),
convertTensorToCkerShape(_output),
reinterpret_cast<float *>(_output->buffer()));
}
void StridedSliceLayer::stridedSliceQuant8()
{
// cker quant8 stridedSlice is not implemented yet
throw std::runtime_error{"NYI"};
}
void StridedSliceLayer::configure(const operand::Tensor *input, const operand::Tensor *begin,
const operand::Tensor *end, const operand::Tensor *strides,
operand::Tensor *output, const int32_t begin_mask,
const int32_t end_mask, const int32_t shrink_axis_mask,
const int32_t rank)
{
_input = input;
_begin = begin;
_end = end;
_strides = strides;
_output = output;
_rank = rank;
_begin_mask = begin_mask;
_ellipsis_mask = 0;
_end_mask = end_mask;
_new_axis_mask = 0;
_shrink_axis_mask = shrink_axis_mask;
}
void StridedSliceLayer::run()
{
if (_input->data_type() == OperandType::FLOAT32)
{
stridedSliceFloat32();
}
else if (_input->data_type() == OperandType::QUANT8_ASYMM)
{
stridedSliceQuant8();
}
}
} // namespace kernel
} // namespace cpu
} // namespace backend
} // namespace onert
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