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/*
* Copyright (c) 2018-2020, 2024 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 ACL_ARM_COMPUTE_RUNTIME_CPP_FUNCTIONS_CPPBOXWITHNONMAXIMASUPPRESSIONLIMIT_H
#define ACL_ARM_COMPUTE_RUNTIME_CPP_FUNCTIONS_CPPBOXWITHNONMAXIMASUPPRESSIONLIMIT_H
#include "arm_compute/core/CPP/kernels/CPPBoxWithNonMaximaSuppressionLimitKernel.h"
#include "arm_compute/core/Types.h"
#include "arm_compute/runtime/IFunction.h"
#include "arm_compute/runtime/IMemoryManager.h"
#include "arm_compute/runtime/MemoryGroup.h"
#include "arm_compute/runtime/MemoryManagerOnDemand.h"
#include "arm_compute/runtime/Tensor.h"
namespace arm_compute
{
class ITensor;
/** Basic function to run CPPBoxWithNonMaximaSuppressionLimitKernel */
class CPPBoxWithNonMaximaSuppressionLimit : public IFunction
{
public:
/** Constructor */
CPPBoxWithNonMaximaSuppressionLimit(std::shared_ptr<IMemoryManager> memory_manager);
CPPBoxWithNonMaximaSuppressionLimit() : CPPBoxWithNonMaximaSuppressionLimit(MemoryManagerOnDemand::make_default())
{
}
/** Prevent instances of this class from being copied (As this class contains pointers) */
CPPBoxWithNonMaximaSuppressionLimit(const CPPBoxWithNonMaximaSuppressionLimit &) = delete;
/** Prevent instances of this class from being copied (As this class contains pointers) */
CPPBoxWithNonMaximaSuppressionLimit &operator=(const CPPBoxWithNonMaximaSuppressionLimit &) = delete;
/** Configure the BoxWithNonMaximaSuppressionLimit CPP kernel
*
* @param[in] scores_in The scores input tensor of size [count, num_classes]. Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32
* @param[in] boxes_in The boxes input tensor of size [count, num_classes * 4].
* Data types supported: QASYMM16 with 0.125 scale and 0 offset if @p scores_in is QASYMM8/QASYMM8_SIGNED, otherwise same as @p scores_in
* @param[in] batch_splits_in The batch splits input tensor of size [batch_size]. Data types supported: Same as @p scores_in
* @note Can be a nullptr. If not a nullptr, @p scores_in and @p boxes_in have items from multiple images.
* @param[out] scores_out The scores output tensor of size [N]. Data types supported: Same as @p scores_in
* @param[out] boxes_out The boxes output tensor of size [N, 4].
* Data types supported: QASYMM16 with 0.125 scale and 0 offset if @p scores_in is QASYMM8/QASYMM8_SIGNED, otherwise same as @p scores_in
* @param[out] classes The classes output tensor of size [N]. Data types supported: Same as @p scores_in
* @param[out] batch_splits_out (Optional) The batch splits output tensor. Data types supported: Same as @p scores_in
* @param[out] keeps (Optional) The keeps output tensor of size [N]. Data types supported: Same as @p scores_in
* @param[in] keeps_size (Optional) Number of filtered indices per class tensor of size [num_classes]. Data types supported: U32.
* @param[in] info (Optional) BoxNMSLimitInfo information.
*/
void configure(const ITensor *scores_in,
const ITensor *boxes_in,
const ITensor *batch_splits_in,
ITensor *scores_out,
ITensor *boxes_out,
ITensor *classes,
ITensor *batch_splits_out = nullptr,
ITensor *keeps = nullptr,
ITensor *keeps_size = nullptr,
const BoxNMSLimitInfo info = BoxNMSLimitInfo());
/** Static function to check if given info will lead to a valid configuration of @ref CPPDetectionOutputLayer
*
* @param[in] scores_in The scores input tensor of size [count, num_classes]. Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32
* @param[in] boxes_in The boxes input tensor of size [count, num_classes * 4].
* Data types supported: QASYMM16 with 0.125 scale and 0 offset if @p scores_in is QASYMM8/QASYMM8_SIGNED, otherwise same as @p scores_in
* @param[in] batch_splits_in The batch splits input tensor of size [batch_size]. Data types supported: Same as @p scores_in
* @note Can be a nullptr. If not a nullptr, @p scores_in and @p boxes_in have items from multiple images.
* @param[in] scores_out The scores output tensor of size [N]. Data types supported: Same as @p scores_in
* @param[in] boxes_out The boxes output tensor of size [N, 4].
* Data types supported: QASYMM16 with 0.125 scale and 0 offset if @p scores_in is QASYMM8/QASYMM8_SIGNED, otherwise same as @p scores_in
* @param[in] classes The classes output tensor of size [N]. Data types supported: Same as @p scores_in
* @param[in] batch_splits_out (Optional) The batch splits output tensor. Data types supported: Same as @p scores_in
* @param[in] keeps (Optional) The keeps output tensor of size [N]. Data types supported: Same as @p scores_in
* @param[in] keeps_size (Optional) Number of filtered indices per class tensor of size [num_classes]. Data types supported: U32.
* @param[in] info (Optional) BoxNMSLimitInfo information.
*
* @return a status
*/
static Status validate(const ITensorInfo *scores_in,
const ITensorInfo *boxes_in,
const ITensorInfo *batch_splits_in,
const ITensorInfo *scores_out,
const ITensorInfo *boxes_out,
const ITensorInfo *classes,
const ITensorInfo *batch_splits_out = nullptr,
const ITensorInfo *keeps = nullptr,
const ITensorInfo *keeps_size = nullptr,
const BoxNMSLimitInfo info = BoxNMSLimitInfo());
// Inherited methods overridden:
void run() override;
private:
MemoryGroup _memory_group;
CPPBoxWithNonMaximaSuppressionLimitKernel _box_with_nms_limit_kernel;
const ITensor *_scores_in;
const ITensor *_boxes_in;
const ITensor *_batch_splits_in;
ITensor *_scores_out;
ITensor *_boxes_out;
ITensor *_classes;
ITensor *_batch_splits_out;
ITensor *_keeps;
Tensor _scores_in_f32;
Tensor _boxes_in_f32;
Tensor _batch_splits_in_f32;
Tensor _scores_out_f32;
Tensor _boxes_out_f32;
Tensor _classes_f32;
Tensor _batch_splits_out_f32;
Tensor _keeps_f32;
bool _is_qasymm8;
};
} // namespace arm_compute
#endif // ACL_ARM_COMPUTE_RUNTIME_CPP_FUNCTIONS_CPPBOXWITHNONMAXIMASUPPRESSIONLIMIT_H
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