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-/*
- * Copyright (c) 2018-2019 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_CLGENERATEPROPOSALSLAYER_H__
-#define __ARM_COMPUTE_CLGENERATEPROPOSALSLAYER_H__
-#include "arm_compute/core/CL/kernels/CLBoundingBoxTransformKernel.h"
-#include "arm_compute/core/CL/kernels/CLCopyKernel.h"
-#include "arm_compute/core/CL/kernels/CLGenerateProposalsLayerKernel.h"
-#include "arm_compute/core/CL/kernels/CLMemsetKernel.h"
-#include "arm_compute/core/CL/kernels/CLPermuteKernel.h"
-#include "arm_compute/core/CL/kernels/CLReshapeLayerKernel.h"
-#include "arm_compute/core/CL/kernels/CLStridedSliceKernel.h"
-#include "arm_compute/core/CPP/kernels/CPPBoxWithNonMaximaSuppressionLimitKernel.h"
-#include "arm_compute/core/Types.h"
-#include "arm_compute/runtime/CL/CLMemoryGroup.h"
-#include "arm_compute/runtime/CL/CLScheduler.h"
-#include "arm_compute/runtime/CL/CLTensor.h"
-#include "arm_compute/runtime/CPP/CPPScheduler.h"
-#include "arm_compute/runtime/IFunction.h"
-
-namespace arm_compute
-{
-class ICLTensor;
-
-/** Basic function to generate proposals for a RPN (Region Proposal Network)
- *
- * This function calls the following OpenCL kernels:
- * -# @ref CLComputeAllAnchors
- * -# @ref CLPermute x 2
- * -# @ref CLReshapeLayer x 2
- * -# @ref CLStridedSlice x 3
- * -# @ref CLBoundingBoxTransform
- * -# @ref CLCopyKernel
- * -# @ref CLMemsetKernel
- * And the following CPP kernels:
- * -# @ref CPPBoxWithNonMaximaSuppressionLimit
- */
-class CLGenerateProposalsLayer : public IFunction
-{
-public:
- /** Default constructor
- *
- * @param[in] memory_manager (Optional) Memory manager.
- */
- CLGenerateProposalsLayer(std::shared_ptr<IMemoryManager> memory_manager = nullptr);
- /** Prevent instances of this class from being copied (As this class contains pointers) */
- CLGenerateProposalsLayer(const CLGenerateProposalsLayer &) = delete;
- /** Default move constructor */
- CLGenerateProposalsLayer(CLGenerateProposalsLayer &&) = default;
- /** Prevent instances of this class from being copied (As this class contains pointers) */
- CLGenerateProposalsLayer &operator=(const CLGenerateProposalsLayer &) = delete;
- /** Default move assignment operator */
- CLGenerateProposalsLayer &operator=(CLGenerateProposalsLayer &&) = default;
-
- /** Set the input and output tensors.
- *
- * @param[in] scores Scores from convolution layer of size (W, H, A), where H and W are the height and width of the feature map, and A is the number of anchors. Data types supported: F16/F32
- * @param[in] deltas Bounding box deltas from convolution layer of size (W, H, 4*A). Data types supported: Same as @p scores
- * @param[in] anchors Anchors tensor of size (4, A). Data types supported: Same as @p input
- * @param[out] proposals Box proposals output tensor of size (5, W*H*A). Data types supported: Same as @p input
- * @param[out] scores_out Box scores output tensor of size (W*H*A). Data types supported: Same as @p input
- * @param[out] num_valid_proposals Scalar output tensor which says which of the first proposals are valid. Data types supported: U32
- * @param[in] info Contains GenerateProposals operation information described in @ref GenerateProposalsInfo
- *
- * @note Only single image prediction is supported. Height and Width (and scale) of the image will be contained in the @ref GenerateProposalsInfo struct.
- * @note Proposals contains all the proposals. Of those, only the first num_valid_proposals are valid.
- */
- void configure(const ICLTensor *scores, const ICLTensor *deltas, const ICLTensor *anchors, ICLTensor *proposals, ICLTensor *scores_out, ICLTensor *num_valid_proposals,
- const GenerateProposalsInfo &info);
-
- /** Static function to check if given info will lead to a valid configuration of @ref CLGenerateProposalsLayer
- *
- * @param[in] scores Scores info from convolution layer of size (W, H, A), where H and W are the height and width of the feature map, and A is the number of anchors. Data types supported: F16/F32
- * @param[in] deltas Bounding box deltas info from convolution layer of size (W, H, 4*A). Data types supported: Same as @p scores
- * @param[in] anchors Anchors tensor info of size (4, A). Data types supported: Same as @p input
- * @param[in] proposals Box proposals info output tensor of size (5, W*H*A). Data types supported: Data types supported: U32
- * @param[in] scores_out Box scores output tensor info of size (W*H*A). Data types supported: Same as @p input
- * @param[in] num_valid_proposals Scalar output tensor info which says which of the first proposals are valid. Data types supported: Same as @p input
- * @param[in] info Contains GenerateProposals operation information described in @ref GenerateProposalsInfo
- *
- * @return a Status
- */
- static Status validate(const ITensorInfo *scores, const ITensorInfo *deltas, const ITensorInfo *anchors, const ITensorInfo *proposals, const ITensorInfo *scores_out,
- const ITensorInfo *num_valid_proposals,
- const GenerateProposalsInfo &info);
-
- // Inherited methods overridden:
- void run() override;
-
-private:
- // Memory group manager
- CLMemoryGroup _memory_group;
-
- // OpenCL kernels
- CLPermuteKernel _permute_deltas_kernel;
- CLReshapeLayerKernel _flatten_deltas_kernel;
- CLPermuteKernel _permute_scores_kernel;
- CLReshapeLayerKernel _flatten_scores_kernel;
- CLComputeAllAnchorsKernel _compute_anchors_kernel;
- CLBoundingBoxTransformKernel _bounding_box_kernel;
- CLMemsetKernel _memset_kernel;
- CLCopyKernel _padded_copy_kernel;
-
- // CPP kernels
- CPPBoxWithNonMaximaSuppressionLimitKernel _cpp_nms_kernel;
-
- bool _is_nhwc;
-
- // Temporary tensors
- CLTensor _deltas_permuted;
- CLTensor _deltas_flattened;
- CLTensor _scores_permuted;
- CLTensor _scores_flattened;
- CLTensor _all_anchors;
- CLTensor _all_proposals;
- CLTensor _keeps_nms_unused;
- CLTensor _classes_nms_unused;
- CLTensor _proposals_4_roi_values;
-
- // Output tensor pointers
- ICLTensor *_num_valid_proposals;
- ICLTensor *_scores_out;
-
- /** Internal function to run the CPP BoxWithNMS kernel */
- void run_cpp_nms_kernel();
-};
-} // namespace arm_compute
-#endif /* __ARM_COMPUTE_CLGENERATEPROPOSALSLAYER_H__ */