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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 "MaxPoolLayer.h"
#include <cker/operation/MaxPool.h>
#include "OperationUtils.h"
namespace neurun
{
namespace backend
{
namespace cpu
{
namespace kernel
{
#define MAXPOOLING_PARAMETERS \
nnfw::cker::MaxPoolParams op_params; \
op_params.stride_height = _strideHeight; \
op_params.stride_width = _strideWidth; \
op_params.filter_height = _kernelHeight; \
op_params.filter_width = _kernelWidth; \
op_params.padding_values.height = (int8_t)_paddingTop; \
op_params.padding_values.width = (int8_t)_paddingLeft;
MaxPoolLayer::MaxPoolLayer()
: _inputData(), _outputData(), _inputShape(), _outputShape(), _paddingLeft(0), _paddingTop(0),
_paddingRight(0), _paddingBottom(0), _strideWidth(0), _strideHeight(0), _kernelWidth(0),
_kernelHeight(0), _activation(model::Activation::NONE), _inputType(OperandType::FLOAT32)
{
// DO NOTHING
}
void MaxPoolLayer::maxPoolFloat32()
{
MAXPOOLING_PARAMETERS
float output_activation_min, output_activation_max;
CalculateActivationRangeFloat(_activation, &output_activation_min, &output_activation_max);
op_params.float_activation_min = output_activation_min;
op_params.float_activation_max = output_activation_max;
nnfw::cker::MaxPool(op_params, convertShapeToCkerShape(_inputShape), _inputData.f,
convertShapeToCkerShape(_outputShape), _outputData.f);
}
void MaxPoolLayer::maxPoolQuant8()
{
MAXPOOLING_PARAMETERS
int32_t output_activation_min = 0;
int32_t output_activation_max = 0;
CalculateActivationRangeUint8(_activation, _outputShape, &output_activation_min,
&output_activation_max);
op_params.quantized_activation_min = output_activation_min;
op_params.quantized_activation_max = output_activation_max;
nnfw::cker::MaxPool(op_params, convertShapeToCkerShape(_inputShape), _inputData.u8,
convertShapeToCkerShape(_outputShape), _outputData.u8);
}
void MaxPoolLayer::configure(uint8_t *inputData, const Shape inputShape, const uint32_t paddingLeft,
const uint32_t paddingRight, const uint32_t paddingTop,
const uint32_t paddingBottom, const uint32_t strideWidth,
const uint32_t strideHeight, const uint32_t kernelWidth,
const uint32_t kernelHeight, const model::Activation activation,
uint8_t *outputData, const Shape outputShape)
{
_inputData.u8 = inputData;
_inputShape = inputShape;
_inputType = inputShape.type;
_paddingLeft = paddingLeft;
_paddingRight = paddingRight;
_paddingTop = paddingTop;
_paddingBottom = paddingBottom;
_strideWidth = strideWidth;
_strideHeight = strideHeight;
_kernelWidth = kernelWidth;
_kernelHeight = kernelHeight;
_activation = activation;
_outputData.u8 = outputData;
_outputShape = outputShape;
}
void MaxPoolLayer::run()
{
if (_inputType == OperandType::FLOAT32)
{
maxPoolFloat32();
}
else if (_inputType == OperandType::QUANT8_ASYMM)
{
maxPoolQuant8();
}
}
#undef MAXPOOLING_PARAMETERS
} // namespace kernel
} // namespace cpu
} // namespace backend
} // namespace neurun
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