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/*
* Copyright (c) 2017 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 __ARM_COMPUTE_NEPOOLINGLAYERKERNEL_H__
#define __ARM_COMPUTE_NEPOOLINGLAYERKERNEL_H__
#include "arm_compute/core/NEON/INEKernel.h"
namespace arm_compute
{
class ITensor;
/** Interface for the pooling layer kernel */
class NEPoolingLayerKernel : public INEKernel
{
public:
/** Default constructor */
NEPoolingLayerKernel();
/** Prevent instances of this class from being copied (As this class contains pointers) */
NEPoolingLayerKernel(const NEPoolingLayerKernel &) = delete;
/** Prevent instances of this class from being copied (As this class contains pointers) */
NEPoolingLayerKernel &operator=(const NEPoolingLayerKernel &) = delete;
/** Allow instances of this class to be moved */
NEPoolingLayerKernel(NEPoolingLayerKernel &&) = default;
/** Allow instances of this class to be moved */
NEPoolingLayerKernel &operator=(NEPoolingLayerKernel &&) = default;
/** Default destructor */
~NEPoolingLayerKernel() = default;
/** Set the input and output tensors.
*
* @param[in] input Source tensor. Data types supported: QS8/QS16/F16/F32.
* @param[out] output Destination tensor. Data types supported: Same as @p input.
* @param[in] pool_info Contains pooling operation information described in @ref PoolingLayerInfo.
*/
void configure(const ITensor *input, ITensor *output, const PoolingLayerInfo &pool_info);
// Inherited methods overridden:
void run(const Window &window) override;
BorderSize border_size() const override;
private:
/** Function to perform 2x2 pooling.
*
* @param[in] window_input Input region on which to execute the kernel.
* @param[in] window Output region on which to execute the kernel.
*/
template <PoolingType pooling_type>
void pooling2_f32(const Window &window_input, const Window &window);
/** Function to perform 2x2 pooling for float16_t.
*
* @param[in] window_input Input region on which to execute the kernel.
* @param[in] window Output region on which to execute the kernel.
*/
template <PoolingType pooling_type>
void pooling2_f16(const Window &window_input, const Window &window);
/** Function to perform 2x2 pooling for 8bit fixed point.
*
* @param[in] window_input Input region on which to execute the kernel.
* @param[in] window Output region on which to execute the kernel.
*/
template <PoolingType pooling_type>
void pooling2_q8(const Window &window_input, const Window &window);
/** Function to perform 2x2 pooling for 16bit fixed point.
*
* @param[in] window_input Input region on which to execute the kernel.
* @param[in] window Output region on which to execute the kernel.
*/
template <PoolingType pooling_type>
void pooling2_q16(const Window &window_input, const Window &window);
/** Function to perform 3x3 pooling.
*
* @param[in] window_input Input region on which to execute the kernel.
* @param[in] window Output region on which to execute the kernel.
*/
template <PoolingType pooling_type>
void pooling3_f32(const Window &window_input, const Window &window);
/** Function to perform 3x3 pooling.
*
* @param[in] window_input Input region on which to execute the kernel.
* @param[in] window Output region on which to execute the kernel.
*/
template <PoolingType pooling_type>
void pooling3_f16(const Window &window_input, const Window &window);
/** Function to perform 3x3 pooling for 8bit fixed point.
*
* @param[in] window_input Input region on which to execute the kernel.
* @param[in] window Output region on which to execute the kernel.
*/
template <PoolingType pooling_type>
void pooling3_q8(const Window &window_input, const Window &window);
/** Function to perform 3x3 pooling for 16bit fixed point.
*
* @param[in] window_input Input region on which to execute the kernel.
* @param[in] window Output region on which to execute the kernel.
*/
template <PoolingType pooling_type>
void pooling3_q16(const Window &window_input, const Window &window);
/** Function to perform 7x7 pooling.
*
* @param[in] window_input Input region on which to execute the kernel.
* @param[in] window Output region on which to execute the kernel.
*/
template <PoolingType pooling_type>
void pooling7_f32(const Window &window_input, const Window &window);
/** Common signature for all the specialised Pooling functions
*
* @param[in] window_input Input region on which to execute the kernel.
* @param[in] window Output region on which to execute the kernel.
*/
using PoolingFunction = void (NEPoolingLayerKernel::*)(const Window &window_input, const Window &window);
private:
PoolingFunction _func;
const ITensor *_input;
ITensor *_output;
PoolingLayerInfo _pool_info;
int _num_elems_processed_per_iteration;
BorderSize _border_size;
};
}
#endif /*__ARM_COMPUTE_NEPOOLINGLAYERKERNEL_H__ */
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