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/*
* Copyright (c) 2018 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 "ReshapeLayer.h"
namespace onert
{
namespace backend
{
namespace cpu
{
namespace kernel
{
ReshapeLayer::ReshapeLayer() : _input(nullptr), _shape(nullptr), _output(nullptr)
{
// DO NOTHING
}
void ReshapeLayer::reshapeGeneric()
{
// TODO use _shape to calculate shape of output when _shape is not nullptr && not constant
size_t count = _input->total_size();
memcpy(_output->buffer(), _input->buffer(), count);
}
void ReshapeLayer::configure(const operand::Tensor *input, const operand::Tensor *shape,
operand::Tensor *output)
{
_input = input;
/* note : shape is optional. If not provided from model, _shape is nullptr. */
_shape = shape;
_output = output;
}
void ReshapeLayer::run() { reshapeGeneric(); }
} // namespace kernel
} // namespace cpu
} // namespace backend
} // namespace onert
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