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+/*
+ * Copyright (c) 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__ */