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/*
* Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved
* Copyright (C) 2017 The Android Open Source Project
*
* 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"
#include "tensorflow/contrib/lite/kernels/internal/optimized/optimized_ops.h"
#include "tensorflow/contrib/lite/kernels/internal/reference/reference_ops.h"
#include "kernel/cpu/OperationUtils.h"
namespace neurun
{
namespace kernel
{
namespace cpu
{
ReshapeLayer::ReshapeLayer()
: _inputData(nullptr), _outputData(nullptr), _inputShape(), _outputShape()
{
// DO NOTHING
}
bool ReshapeLayer::reshapeGeneric()
{
size_t count = sizeOfData(_inputShape.type, _inputShape.dimensions);
memcpy(reinterpret_cast<void *>(_outputData), reinterpret_cast<const void *>(_inputData), count);
return true;
}
void ReshapeLayer::configure(uint8_t *inputData, const Shape &inputShape, uint8_t *outputData,
const Shape &outputShape)
{
_inputData = inputData;
_inputShape = inputShape;
_outputData = outputData;
_outputShape = outputShape;
}
void ReshapeLayer::run() { reshapeGeneric(); }
} // namespace cpu
} // namespace kernel
} // namespace neurun
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