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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 "ReverseLayer.h"
#include "OperationUtils.h"
#include <cker/operation/Reverse.h>
namespace onert
{
namespace backend
{
namespace cpu
{
namespace ops
{
void ReverseLayer::run()
{
if (_axis->total_size() != 4)
{
throw std::runtime_error{"Reverse: only support 1 axis"};
}
int32_t axis = *(reinterpret_cast<int32_t *>(_axis->buffer()));
if (axis < 0)
{
axis += _input->num_dimensions();
}
switch (_input->data_type())
{
case OperandType::FLOAT32:
nnfw::cker::Reverse<float>(
axis, getTensorShape(_input), reinterpret_cast<const float *>(_input->buffer()),
getTensorShape(_output), reinterpret_cast<float *>(_output->buffer()));
break;
default:
throw std::runtime_error{"Reverse: unsupported data type"};
}
}
void ReverseLayer::configure(const IPortableTensor *input, const IPortableTensor *axis,
IPortableTensor *output)
{
_input = input;
_axis = axis;
_output = output;
}
} // namespace ops
} // namespace cpu
} // namespace backend
} // namespace onert
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