| /* |
| * 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_CLGENERATEPROPOSALSLAYER_H |
| #define ARM_COMPUTE_CLGENERATEPROPOSALSLAYER_H |
| #include "arm_compute/core/CL/kernels/CLBoundingBoxTransformKernel.h" |
| #include "arm_compute/core/CL/kernels/CLDequantizationLayerKernel.h" |
| #include "arm_compute/core/CL/kernels/CLGenerateProposalsLayerKernel.h" |
| #include "arm_compute/core/CL/kernels/CLPadLayerKernel.h" |
| #include "arm_compute/core/CL/kernels/CLPermuteKernel.h" |
| #include "arm_compute/core/CL/kernels/CLQuantizationLayerKernel.h" |
| #include "arm_compute/core/CL/kernels/CLReshapeLayerKernel.h" |
| #include "arm_compute/core/Types.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/CPP/functions/CPPBoxWithNonMaximaSuppressionLimit.h" |
| #include "arm_compute/runtime/IFunction.h" |
| #include "arm_compute/runtime/MemoryGroup.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 CLBoundingBoxTransform |
| * -# @ref CLPadLayerKernel |
| * -# @ref CLDequantizationLayerKernel x 2 |
| * -# @ref CLQuantizationLayerKernel |
| * And the following CPP functions: |
| * -# @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; |
| /** Prevent instances of this class from being copied (As this class contains pointers) */ |
| CLGenerateProposalsLayer &operator=(const CLGenerateProposalsLayer &) = 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 scores |
| * @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: 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 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 scores |
| * @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; |
| |
| // 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; |
| CLPadLayerKernel _pad_kernel; |
| CLDequantizationLayerKernel _dequantize_anchors; |
| CLDequantizationLayerKernel _dequantize_deltas; |
| CLQuantizationLayerKernel _quantize_all_proposals; |
| |
| // CPP functions |
| CPPBoxWithNonMaximaSuppressionLimit _cpp_nms; |
| |
| bool _is_nhwc; |
| bool _is_qasymm8; |
| |
| // Temporary tensors |
| CLTensor _deltas_permuted; |
| CLTensor _deltas_flattened; |
| CLTensor _deltas_flattened_f32; |
| CLTensor _scores_permuted; |
| CLTensor _scores_flattened; |
| CLTensor _all_anchors; |
| CLTensor _all_anchors_f32; |
| CLTensor _all_proposals; |
| CLTensor _all_proposals_quantized; |
| CLTensor _keeps_nms_unused; |
| CLTensor _classes_nms_unused; |
| CLTensor _proposals_4_roi_values; |
| |
| // Temporary tensor pointers |
| CLTensor *_all_proposals_to_use; |
| |
| // 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 */ |