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/*
* Copyright (c) 2019-2020 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_NEGENERATEPROPOSALSLAYER_H
#define ARM_COMPUTE_NEGENERATEPROPOSALSLAYER_H
#include "arm_compute/core/NEON/kernels/NEBoundingBoxTransformKernel.h"
#include "arm_compute/core/NEON/kernels/NEDequantizationLayerKernel.h"
#include "arm_compute/core/NEON/kernels/NEGenerateProposalsLayerKernel.h"
#include "arm_compute/core/NEON/kernels/NEPadLayerKernel.h"
#include "arm_compute/core/NEON/kernels/NEPermuteKernel.h"
#include "arm_compute/core/NEON/kernels/NEQuantizationLayerKernel.h"
#include "arm_compute/core/Types.h"
#include "arm_compute/runtime/CPP/CPPScheduler.h"
#include "arm_compute/runtime/CPP/functions/CPPBoxWithNonMaximaSuppressionLimit.h"
#include "arm_compute/runtime/IFunction.h"
#include "arm_compute/runtime/MemoryGroup.h"
#include "arm_compute/runtime/NEON/functions/NEReshapeLayer.h"
#include "arm_compute/runtime/Tensor.h"
namespace arm_compute
{
class ITensor;
/** Basic function to generate proposals for a RPN (Region Proposal Network)
*
* This function calls the following Neon kernels:
* -# @ref NEComputeAllAnchors
* -# @ref NEPermute x 2
* -# @ref NEReshapeLayer x 2
* -# @ref NEBoundingBoxTransform
* -# @ref NEPadLayerKernel
* -# @ref NEDequantizationLayerKernel x 2
* -# @ref NEQuantizationLayerKernel
* And the following CPP kernels:
* -# @ref CPPBoxWithNonMaximaSuppressionLimit
*/
class NEGenerateProposalsLayer : public IFunction
{
public:
/** Default constructor
*
* @param[in] memory_manager (Optional) Memory manager.
*/
NEGenerateProposalsLayer(std::shared_ptr<IMemoryManager> memory_manager = nullptr);
/** Prevent instances of this class from being copied (As this class contains pointers) */
NEGenerateProposalsLayer(const NEGenerateProposalsLayer &) = delete;
/** Prevent instances of this class from being copied (As this class contains pointers) */
NEGenerateProposalsLayer &operator=(const NEGenerateProposalsLayer &) = delete;
/** 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: QASYMM8/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: QSYMM16 with scale of 0.125 if @p scores is QASYMM8, otherwise same as @p scores
* @param[out] proposals Box proposals output tensor of size (5, W*H*A).
* Data types supported: QASYMM16 with scale of 0.125 and 0 offset if @p scores is QASYMM8, otherwise same as @p scores
* @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 ITensor *scores, const ITensor *deltas, const ITensor *anchors, ITensor *proposals, ITensor *scores_out, ITensor *num_valid_proposals,
const GenerateProposalsInfo &info);
/** Static function to check if given info will lead to a valid configuration of @ref NEGenerateProposalsLayer
*
* @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: QASYMM8/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: QSYMM16 with scale of 0.125 if @p scores is QASYMM8, otherwise same as @p scores
* @param[in] proposals Box proposals info output tensor of size (5, W*H*A).
* Data types supported: QASYMM16 with scale of 0.125 and 0 offset if @p scores is QASYMM8, otherwise same as @p scores
* @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: U32
* @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
MemoryGroup _memory_group;
// Neon kernels
NEPermuteKernel _permute_deltas_kernel;
NEReshapeLayer _flatten_deltas;
NEPermuteKernel _permute_scores_kernel;
NEReshapeLayer _flatten_scores;
NEComputeAllAnchorsKernel _compute_anchors_kernel;
NEBoundingBoxTransformKernel _bounding_box_kernel;
NEPadLayerKernel _pad_kernel;
NEDequantizationLayerKernel _dequantize_anchors;
NEDequantizationLayerKernel _dequantize_deltas;
NEQuantizationLayerKernel _quantize_all_proposals;
// CPP functions
CPPBoxWithNonMaximaSuppressionLimit _cpp_nms;
bool _is_nhwc;
bool _is_qasymm8;
// Temporary tensors
Tensor _deltas_permuted;
Tensor _deltas_flattened;
Tensor _deltas_flattened_f32;
Tensor _scores_permuted;
Tensor _scores_flattened;
Tensor _all_anchors;
Tensor _all_anchors_f32;
Tensor _all_proposals;
Tensor _all_proposals_quantized;
Tensor _keeps_nms_unused;
Tensor _classes_nms_unused;
Tensor _proposals_4_roi_values;
// Temporary tensor pointers
Tensor *_all_proposals_to_use;
// Output tensor pointers
ITensor *_num_valid_proposals;
ITensor *_scores_out;
};
} // namespace arm_compute
#endif /* ARM_COMPUTE_NEGENERATEPROPOSALSLAYER_H */
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