183 lines
9.9 KiB
C
183 lines
9.9 KiB
C
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/*
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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_CLGENERATEPROPOSALSLAYER_H
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#define ARM_COMPUTE_CLGENERATEPROPOSALSLAYER_H
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#include "arm_compute/core/Types.h"
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#include "arm_compute/runtime/CL/CLScheduler.h"
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#include "arm_compute/runtime/CL/CLTensor.h"
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#include "arm_compute/runtime/CL/functions/CLReshapeLayer.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 <memory>
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namespace arm_compute
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{
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class CLCompileContext;
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class CLBoundingBoxTransformKernel;
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class CLDequantizationLayerKernel;
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class CLComputeAllAnchorsKernel;
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class CLPadLayerKernel;
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class CLPermuteKernel;
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class CLQuantizationLayerKernel;
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class ICLTensor;
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class ITensorInfo;
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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 OpenCL kernels:
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* -# @ref CLComputeAllAnchors
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* -# @ref CLPermute x 2
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* -# @ref CLReshapeLayer x 2
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* -# @ref CLBoundingBoxTransform
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* -# @ref CLPadLayerKernel
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* -# @ref CLDequantizationLayerKernel x 2
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* -# @ref CLQuantizationLayerKernel
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* And the following CPP functions:
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* -# @ref CPPBoxWithNonMaximaSuppressionLimit
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*/
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class CLGenerateProposalsLayer : 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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CLGenerateProposalsLayer(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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CLGenerateProposalsLayer(const CLGenerateProposalsLayer &) = delete;
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/** Prevent instances of this class from being copied (As this class contains pointers) */
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CLGenerateProposalsLayer &operator=(const CLGenerateProposalsLayer &) = delete;
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/** Default destructor */
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~CLGenerateProposalsLayer();
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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 scores
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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 ICLTensor *scores, const ICLTensor *deltas, const ICLTensor *anchors, ICLTensor *proposals, ICLTensor *scores_out, ICLTensor *num_valid_proposals,
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const GenerateProposalsInfo &info);
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/** Set the input and output tensors.
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*
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* @param[in] compile_context The compile context to be used.
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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 scores
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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 CLCompileContext &compile_context, const ICLTensor *scores, const ICLTensor *deltas, const ICLTensor *anchors, ICLTensor *proposals, ICLTensor *scores_out,
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ICLTensor *num_valid_proposals, const GenerateProposalsInfo &info);
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/** Static function to check if given info will lead to a valid configuration of @ref CLGenerateProposalsLayer
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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 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 scores
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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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// OpenCL kernels
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std::unique_ptr<CLPermuteKernel> _permute_deltas_kernel;
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CLReshapeLayer _flatten_deltas;
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std::unique_ptr<CLPermuteKernel> _permute_scores_kernel;
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CLReshapeLayer _flatten_scores;
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std::unique_ptr<CLComputeAllAnchorsKernel> _compute_anchors_kernel;
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std::unique_ptr<CLBoundingBoxTransformKernel> _bounding_box_kernel;
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std::unique_ptr<CLPadLayerKernel> _pad_kernel;
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std::unique_ptr<CLDequantizationLayerKernel> _dequantize_anchors;
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std::unique_ptr<CLDequantizationLayerKernel> _dequantize_deltas;
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std::unique_ptr<CLQuantizationLayerKernel> _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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CLTensor _deltas_permuted;
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CLTensor _deltas_flattened;
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CLTensor _deltas_flattened_f32;
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CLTensor _scores_permuted;
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CLTensor _scores_flattened;
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CLTensor _all_anchors;
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CLTensor _all_anchors_f32;
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CLTensor _all_proposals;
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CLTensor _all_proposals_quantized;
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CLTensor _keeps_nms_unused;
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CLTensor _classes_nms_unused;
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CLTensor _proposals_4_roi_values;
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// Temporary tensor pointers
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CLTensor *_all_proposals_to_use;
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// Output tensor pointers
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ICLTensor *_num_valid_proposals;
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ICLTensor *_scores_out;
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/** Internal function to run the CPP BoxWithNMS kernel */
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void run_cpp_nms_kernel();
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};
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} // namespace arm_compute
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#endif /* ARM_COMPUTE_CLGENERATEPROPOSALSLAYER_H */
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