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/*
* 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 __ARM_COMPUTE_CLYOLOLAYERKERNEL_H__
#define __ARM_COMPUTE_CLYOLOLAYERKERNEL_H__
#include "arm_compute/core/CL/ICLKernel.h"
namespace arm_compute
{
class ICLTensor;
/** Interface for the YOLO layer kernel that performs partial activation.
* For each box, activate only:
* - x and y position (channel 0 and 1 of each box)
* - objectiveness (channel 4 of each box)
* - classes (channel 5 to (classes - 5) of each box)
*/
class CLYOLOLayerKernel : public ICLKernel
{
public:
/** Default constructor */
CLYOLOLayerKernel();
/** Prevent instances of this class from being copied (As this class contains pointers) */
CLYOLOLayerKernel(const CLYOLOLayerKernel &) = delete;
/** Prevent instances of this class from being copied (As this class contains pointers) */
CLYOLOLayerKernel &operator=(const CLYOLOLayerKernel &) = delete;
/** Allow instances of this class to be moved */
CLYOLOLayerKernel(CLYOLOLayerKernel &&) = default;
/** Allow instances of this class to be moved */
CLYOLOLayerKernel &operator=(CLYOLOLayerKernel &&) = default;
/** Default destructor */
~CLYOLOLayerKernel() = default;
/** Set the input and output tensor.
*
* @note If the output tensor is a nullptr, the activation function will be performed in-place
*
* @param[in, out] input Source tensor. In case of @p output tensor = nullptr, this tensor will store the result
* of the activation function. Data types supported: F16/F32.
* @param[out] output Destination tensor. Data type supported: same as @p input
* @param[in] act_info Activation layer information.
* @param[in] num_classes Number of classes to activate (must be submultiple of @p input channels)
*/
void configure(ICLTensor *input, ICLTensor *output, const ActivationLayerInfo &act_info, int32_t num_classes);
/** Static function to check if given info will lead to a valid configuration of @ref CLYOLOLayerKernel
*
* @param[in] input Source tensor info. In case of @p output tensor info = nullptr, this tensor will store the result
* of the activation function. Data types supported: F16/F32.
* @param[in] output Destination tensor info. Data type supported: same as @p input
* @param[in] act_info Activation layer information.
* @param[in] num_classes Number of classes to activate (must be submultiple of @p input channels)
*
* @return a status
*/
static Status validate(const ITensorInfo *input, const ITensorInfo *output, const ActivationLayerInfo &act_info, int32_t num_classes);
// Inherited methods overridden:
void run(const Window &window, cl::CommandQueue &queue) override;
private:
ICLTensor *_input;
ICLTensor *_output;
bool _run_in_place;
};
} // namespace arm_compute
#endif /*__ARM_COMPUTE_CLYOLOLAYERKERNEL_H__ */
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