diff options
Diffstat (limited to 'arm_compute/runtime/CL/functions/CLGenerateProposalsLayer.h')
| -rw-r--r-- | arm_compute/runtime/CL/functions/CLGenerateProposalsLayer.h | 46 |
1 files changed, 31 insertions, 15 deletions
diff --git a/arm_compute/runtime/CL/functions/CLGenerateProposalsLayer.h b/arm_compute/runtime/CL/functions/CLGenerateProposalsLayer.h index 8546261fef..827f19d130 100644 --- a/arm_compute/runtime/CL/functions/CLGenerateProposalsLayer.h +++ b/arm_compute/runtime/CL/functions/CLGenerateProposalsLayer.h @@ -24,16 +24,17 @@ #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/CL/kernels/CLStridedSliceKernel.h" -#include "arm_compute/core/CPP/kernels/CPPBoxWithNonMaximaSuppressionLimitKernel.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" @@ -47,10 +48,11 @@ class ICLTensor; * -# @ref CLComputeAllAnchors * -# @ref CLPermute x 2 * -# @ref CLReshapeLayer x 2 - * -# @ref CLStridedSlice x 3 * -# @ref CLBoundingBoxTransform * -# @ref CLPadLayerKernel - * And the following CPP kernels: + * -# @ref CLDequantizationLayerKernel + * -# @ref CLQuantizationLayerKernel + * And the following CPP functions: * -# @ref CPPBoxWithNonMaximaSuppressionLimit */ class CLGenerateProposalsLayer : public IFunction @@ -72,11 +74,13 @@ public: /** 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] 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: 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[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 * @@ -88,12 +92,14 @@ public: /** 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] 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: 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] 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 @@ -117,23 +123,33 @@ private: CLComputeAllAnchorsKernel _compute_anchors_kernel; CLBoundingBoxTransformKernel _bounding_box_kernel; CLPadLayerKernel _pad_kernel; + CLDequantizationLayerKernel _dequantize_anchors; + CLDequantizationLayerKernel _dequantize_deltas; + CLQuantizationLayerKernel _quantize_all_proposals; - // CPP kernels - CPPBoxWithNonMaximaSuppressionLimitKernel _cpp_nms_kernel; + // 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; |