157 lines
7.8 KiB
C++
157 lines
7.8 KiB
C++
/*
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* Copyright (c) 2019-2020 Arm Limited.
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*
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* SPDX-License-Identifier: MIT
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy
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* of this software and associated documentation files (the "Software"), to
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* deal in the Software without restriction, including without limitation the
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* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
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* sell copies of the Software, and to permit persons to whom the Software is
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* furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in all
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* copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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* SOFTWARE.
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*/
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#ifndef ARM_COMPUTE_NEGENERATEPROPOSALSLAYER_H
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#define ARM_COMPUTE_NEGENERATEPROPOSALSLAYER_H
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#include "arm_compute/core/Types.h"
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#include "arm_compute/runtime/CPP/CPPScheduler.h"
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#include "arm_compute/runtime/CPP/functions/CPPBoxWithNonMaximaSuppressionLimit.h"
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#include "arm_compute/runtime/IFunction.h"
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#include "arm_compute/runtime/MemoryGroup.h"
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#include "arm_compute/runtime/NEON/functions/NEBoundingBoxTransform.h"
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#include "arm_compute/runtime/NEON/functions/NEComputeAllAnchors.h"
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#include "arm_compute/runtime/NEON/functions/NEDequantizationLayer.h"
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#include "arm_compute/runtime/NEON/functions/NEPadLayer.h"
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#include "arm_compute/runtime/NEON/functions/NEPermute.h"
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#include "arm_compute/runtime/NEON/functions/NEQuantizationLayer.h"
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#include "arm_compute/runtime/NEON/functions/NEReshapeLayer.h"
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#include "arm_compute/runtime/Tensor.h"
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namespace arm_compute
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{
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class ITensor;
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/** Basic function to generate proposals for a RPN (Region Proposal Network)
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*
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* This function calls the following Neon kernels:
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* -# @ref NEComputeAllAnchors
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* -# @ref NEPermute x 2
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* -# @ref NEReshapeLayer x 2
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* -# @ref NEBoundingBoxTransform
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* -# @ref NEPadLayerKernel
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* -# @ref NEDequantizationLayerKernel x 2
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* -# @ref NEQuantizationLayerKernel
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* And the following CPP kernels:
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* -# @ref CPPBoxWithNonMaximaSuppressionLimit
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*/
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class NEGenerateProposalsLayer : public IFunction
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{
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public:
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/** Default constructor
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*
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* @param[in] memory_manager (Optional) Memory manager.
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*/
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NEGenerateProposalsLayer(std::shared_ptr<IMemoryManager> memory_manager = nullptr);
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/** Prevent instances of this class from being copied (As this class contains pointers) */
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NEGenerateProposalsLayer(const NEGenerateProposalsLayer &) = delete;
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/** Prevent instances of this class from being copied (As this class contains pointers) */
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NEGenerateProposalsLayer &operator=(const NEGenerateProposalsLayer &) = delete;
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/** Default destructor */
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~NEGenerateProposalsLayer();
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/** Set the input and output tensors.
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*
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* @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.
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* Data types supported: QASYMM8/F16/F32
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* @param[in] deltas Bounding box deltas from convolution layer of size (W, H, 4*A). Data types supported: Same as @p scores
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* @param[in] anchors Anchors tensor of size (4, A). Data types supported: QSYMM16 with scale of 0.125 if @p scores is QASYMM8, otherwise same as @p scores
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* @param[out] proposals Box proposals output tensor of size (5, W*H*A).
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* Data types supported: QASYMM16 with scale of 0.125 and 0 offset if @p scores is QASYMM8, otherwise same as @p scores
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* @param[out] scores_out Box scores output tensor of size (W*H*A). Data types supported: Same as @p input
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* @param[out] num_valid_proposals Scalar output tensor which says which of the first proposals are valid. Data types supported: U32
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* @param[in] info Contains GenerateProposals operation information described in @ref GenerateProposalsInfo
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*
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* @note Only single image prediction is supported. Height and Width (and scale) of the image will be contained in the @ref GenerateProposalsInfo struct.
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* @note Proposals contains all the proposals. Of those, only the first num_valid_proposals are valid.
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*/
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void configure(const ITensor *scores, const ITensor *deltas, const ITensor *anchors, ITensor *proposals, ITensor *scores_out, ITensor *num_valid_proposals,
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const GenerateProposalsInfo &info);
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/** Static function to check if given info will lead to a valid configuration of @ref NEGenerateProposalsLayer
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*
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* @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.
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* Data types supported: QASYMM8/F16/F32
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* @param[in] deltas Bounding box deltas info from convolution layer of size (W, H, 4*A). Data types supported: Same as @p scores
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* @param[in] anchors Anchors tensor info of size (4, A). Data types supported: QSYMM16 with scale of 0.125 if @p scores is QASYMM8, otherwise same as @p scores
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* @param[in] proposals Box proposals info output tensor of size (5, W*H*A).
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* Data types supported: QASYMM16 with scale of 0.125 and 0 offset if @p scores is QASYMM8, otherwise same as @p scores
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* @param[in] scores_out Box scores output tensor info of size (W*H*A). Data types supported: Same as @p input
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* @param[in] num_valid_proposals Scalar output tensor info which says which of the first proposals are valid. Data types supported: U32
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* @param[in] info Contains GenerateProposals operation information described in @ref GenerateProposalsInfo
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*
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* @return a Status
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*/
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static Status validate(const ITensorInfo *scores, const ITensorInfo *deltas, const ITensorInfo *anchors, const ITensorInfo *proposals, const ITensorInfo *scores_out,
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const ITensorInfo *num_valid_proposals,
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const GenerateProposalsInfo &info);
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// Inherited methods overridden:
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void run() override;
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private:
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// Memory group manager
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MemoryGroup _memory_group;
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// Neon kernels
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NEPermute _permute_deltas;
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NEReshapeLayer _flatten_deltas;
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NEPermute _permute_scores;
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NEReshapeLayer _flatten_scores;
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NEComputeAllAnchors _compute_anchors;
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NEBoundingBoxTransform _bounding_box;
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NEPadLayer _pad;
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NEDequantizationLayer _dequantize_anchors;
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NEDequantizationLayer _dequantize_deltas;
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NEQuantizationLayer _quantize_all_proposals;
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// CPP functions
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CPPBoxWithNonMaximaSuppressionLimit _cpp_nms;
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bool _is_nhwc;
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bool _is_qasymm8;
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// Temporary tensors
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Tensor _deltas_permuted;
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Tensor _deltas_flattened;
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Tensor _deltas_flattened_f32;
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Tensor _scores_permuted;
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Tensor _scores_flattened;
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Tensor _all_anchors;
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Tensor _all_anchors_f32;
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Tensor _all_proposals;
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Tensor _all_proposals_quantized;
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Tensor _keeps_nms_unused;
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Tensor _classes_nms_unused;
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Tensor _proposals_4_roi_values;
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// Temporary tensor pointers
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Tensor *_all_proposals_to_use;
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// Output tensor pointers
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ITensor *_num_valid_proposals;
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ITensor *_scores_out;
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};
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} // namespace arm_compute
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#endif /* ARM_COMPUTE_NEGENERATEPROPOSALSLAYER_H */
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