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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.
*/
/*
* Copyright (c) 2018 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to
* deal in the Software without restriction, including without limitation the
* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
* sell copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#ifndef __CONV2D_IO_ACCESSOR_H__
#define __CONV2D_IO_ACCESSOR_H__
#include <arm_compute/graph/ITensorAccessor.h>
#include <arm_compute/runtime/CL/CLFunctions.h>
#include "types.h"
class InputAccessor : public arm_compute::graph::ITensorAccessor
{
public:
InputAccessor(const float* inputData, const Shape& inputShape);
InputAccessor(InputAccessor&&) = default;
// Inherited methods overriden:
bool access_tensor(arm_compute::ITensor& tensor) override;
private:
const float* _inputData;
const Shape& _inputShape;
};
class WeightAccessor : public arm_compute::graph::ITensorAccessor
{
public:
WeightAccessor(const float* filterData, const Shape& filterShape);
WeightAccessor(WeightAccessor&&) = default;
// Inherited methods overriden:
bool access_tensor(arm_compute::ITensor& tensor) override;
private:
const float* _filterData;
const Shape& _filterShape;
};
class BiasAccessor : public arm_compute::graph::ITensorAccessor
{
public:
BiasAccessor(const float* biasData, const Shape& biasShape);
BiasAccessor(BiasAccessor&&) = default;
// Inherited methods overriden:
bool access_tensor(arm_compute::ITensor& tensor) override;
private:
const float* _biasData;
const Shape& _biasShape;
};
class OutputAccessor : public arm_compute::graph::ITensorAccessor
{
public:
OutputAccessor(float* outputData, const Shape& outputShape);
OutputAccessor(OutputAccessor&&) = default;
// Inherited methods overriden:
bool access_tensor(arm_compute::ITensor& tensor) override;
private:
float* _outputData;
const Shape& _outputShape;
};
#endif // __CONV2D_IO_ACCESSOR_H__
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