52 inline bool bboxTransformFloat32(const float* roiData, const Shape& roiShape,  in bboxTransformFloat32()
53                                  const float* bboxDeltasData, const Shape& bboxDeltasShape,  in bboxTransformFloat32()
54                                  const int32_t* batchesData, const Shape& batchesShape,  in bboxTransformFloat32()
55                                  const float* imageInfoData, const Shape& imageInfoDataShape,  in bboxTransformFloat32()
56                                  float* outputData, const Shape& outputShape) {  in bboxTransformFloat32()
102 inline bool bboxTransformFloat16(const _Float16* roiData, const Shape& roiShape,  in bboxTransformFloat16()
103                                  const _Float16* bboxDeltasData, const Shape& bboxDeltasShape,  in bboxTransformFloat16()
104                                  const int32_t* batchesData, const Shape& batchesShape,  in bboxTransformFloat16()
105                                  const _Float16* imageInfoData, const Shape& imageInfoDataShape,  in bboxTransformFloat16()
106                                  _Float16* outputData, const Shape& outputShape) {  in bboxTransformFloat16()
122 inline bool bboxTransformQuant(const uint16_t* roiData, const Shape& roiShape,  in bboxTransformQuant()
123                                const uint8_t* bboxDeltasData, const Shape& bboxDeltasShape,  in bboxTransformQuant()
124                                const int32_t* batchesData, const Shape& batchesShape,  in bboxTransformQuant()
125                                const uint16_t* imageInfoData, const Shape& imageInfoDataShape,  in bboxTransformQuant()
126                                uint16_t* outputData, const Shape& outputShape) {  in bboxTransformQuant()
194     Shape roiShape = context->getInputShape(kRoiTensor);  in prepare()
195     Shape bboxDeltasShape = context->getInputShape(kDeltaTensor);  in prepare()
196     Shape batchesShape = context->getInputShape(kBatchesTensor);  in prepare()
197     Shape imageInfoShape = context->getInputShape(kImageInfoTensor);  in prepare()
198     Shape outputShape = context->getOutputShape(kOutputTensor);  in prepare()
433 bool boxWithNmsLimitFloat32Compute(float* scoresData, const Shape& scoresShape,  in boxWithNmsLimitFloat32Compute()
434                                    const float* roiData, const Shape& roiShape,  in boxWithNmsLimitFloat32Compute()
435                                    const int32_t* batchesData, const Shape& batchesShape,  in boxWithNmsLimitFloat32Compute()
498 T castTo(float val, const Shape&) {  in castTo()  argument
502 uint8_t castTo(float val, const Shape& shape) {  in castTo()
516     Shape scoresShape = context->getInputShape(kScoreTensor);  in boxWithNmsLimitWriteOutput()
522     Shape scoresOutShape = context->getOutputShape(kOutputScoreTensor);  in boxWithNmsLimitWriteOutput()
526     Shape roiOutShape = context->getOutputShape(kOutputRoiTensor);  in boxWithNmsLimitWriteOutput()
530     Shape classesOutShape = context->getOutputShape(kOutputClassTensor);  in boxWithNmsLimitWriteOutput()
534     Shape batchesOutShape = context->getOutputShape(kOutputBatchesTensor);  in boxWithNmsLimitWriteOutput()
563 bool boxWithNmsLimitFloat32(const float* scoresData, const Shape& scoresShape, const float* roiData,  in boxWithNmsLimitFloat32()
564                             const Shape& roiShape, const int32_t* batchesData,  in boxWithNmsLimitFloat32()
565                             const Shape& batchesShape, float scoreThreshold,  in boxWithNmsLimitFloat32()
568                             Shape scoresOutShape, float* roiOutData, Shape roiOutShape,  in boxWithNmsLimitFloat32()
569                             int32_t* classesOutData, Shape classesOutShape, int32_t* batchesOutData,  in boxWithNmsLimitFloat32()
570                             const Shape& batchSplitOutShape, IOperationExecutionContext* context) {  in boxWithNmsLimitFloat32()
585 bool boxWithNmsLimitFloat16(const _Float16* scoresData, const Shape& scoresShape,  in boxWithNmsLimitFloat16()
586                             const _Float16* roiData, const Shape& roiShape,  in boxWithNmsLimitFloat16()
587                             const int32_t* batchesData, const Shape& batchesShape,  in boxWithNmsLimitFloat16()
591                             const Shape& scoresOutShape, _Float16* roiOutData,  in boxWithNmsLimitFloat16()
592                             const Shape& roiOutShape, int32_t* classesOutData,  in boxWithNmsLimitFloat16()
593                             const Shape& classesOutShape, int32_t* batchesOutData,  in boxWithNmsLimitFloat16()
594                             const Shape& batchSplitOutShape, IOperationExecutionContext* context) {  in boxWithNmsLimitFloat16()
608 bool boxWithNmsLimitQuant(const uint8_t* scoresData, const Shape& scoresShape,  in boxWithNmsLimitQuant()
609                           const uint16_t* roiData, const Shape& roiShape,  in boxWithNmsLimitQuant()
610                           const int32_t* batchesData, const Shape& batchesShape,  in boxWithNmsLimitQuant()
613                           uint8_t* scoresOutData, const Shape& scoresOutShape, uint16_t* roiOutData,  in boxWithNmsLimitQuant()
614                           const Shape& roiOutShape, int32_t* classesOutData,  in boxWithNmsLimitQuant()
615                           const Shape& classesOutShape, int32_t* batchesOutData,  in boxWithNmsLimitQuant()
616                           const Shape& batchSplitOutShape, IOperationExecutionContext* context) {  in boxWithNmsLimitQuant()
673     Shape scoreShape = context->getInputShape(kScoreTensor);  in prepare()
674     Shape roiShape = context->getInputShape(kRoiTensor);  in prepare()
675     Shape batchesShape = context->getInputShape(kBatchesTensor);  in prepare()
676     Shape outputScoreShape = context->getOutputShape(kOutputScoreTensor);  in prepare()
677     Shape outputRoiShape = context->getOutputShape(kOutputRoiTensor);  in prepare()
678     Shape outputClassShape = context->getOutputShape(kOutputClassTensor);  in prepare()
679     Shape outputBatchSplitShape = context->getOutputShape(kOutputBatchesTensor);  in prepare()
843 bool generateProposalsNhwcFloat32Compute(const float* scoresData, const Shape& scoresShape,  in generateProposalsNhwcFloat32Compute()
844                                          const float* bboxDeltasData, const Shape& bboxDeltasShape,  in generateProposalsNhwcFloat32Compute()
845                                          const float* anchorsData, const Shape& anchorsShape,  in generateProposalsNhwcFloat32Compute()
846                                          const float* imageInfoData, const Shape& imageInfoShape,  in generateProposalsNhwcFloat32Compute()
887     Shape tempRoiShape = anchorsShape;  in generateProposalsNhwcFloat32Compute()
889     Shape tempBBoxDeltasShape = bboxDeltasShape;  in generateProposalsNhwcFloat32Compute()
892     Shape tempbatchSplitShape = {.dimensions = {batchSize}};  in generateProposalsNhwcFloat32Compute()
893     Shape tempImageInfoShape = imageInfoShape;  in generateProposalsNhwcFloat32Compute()
945 bool generateProposalsFloat32Compute(const float* scoresData, const Shape& scoresShape,  in generateProposalsFloat32Compute()
946                                      const float* bboxDeltasData, const Shape& bboxDeltasShape,  in generateProposalsFloat32Compute()
947                                      const float* anchorsData, const Shape& anchorsShape,  in generateProposalsFloat32Compute()
948                                      const float* imageInfoData, const Shape& imageInfoShape,  in generateProposalsFloat32Compute()
964 bool generateProposalsFloat32(const float* scoresData, const Shape& scoresShape,  in generateProposalsFloat32()
965                               const float* bboxDeltasData, const Shape& bboxDeltasShape,  in generateProposalsFloat32()
966                               const float* anchorsData, const Shape& anchorsShape,  in generateProposalsFloat32()
967                               const float* imageInfoData, const Shape& imageInfoShape,  in generateProposalsFloat32()
981     Shape scoresOutShape = context->getOutputShape(kOutputScoreTensor);  in generateProposalsFloat32()
984     Shape roiOutShape = context->getOutputShape(kOutputRoiTensor);  in generateProposalsFloat32()
987     Shape batchesOutShape = context->getOutputShape(kOutputBatchesTensor);  in generateProposalsFloat32()
1007 bool generateProposalsFloat16(const _Float16* scoresData, const Shape& scoresShape,  in generateProposalsFloat16()
1008                               const _Float16* bboxDeltasData, const Shape& bboxDeltasShape,  in generateProposalsFloat16()
1009                               const _Float16* anchorsData, const Shape& anchorsShape,  in generateProposalsFloat16()
1010                               const _Float16* imageInfoData, const Shape& imageInfoShape,  in generateProposalsFloat16()
1033     Shape scoresOutShape = context->getOutputShape(kOutputScoreTensor);  in generateProposalsFloat16()
1036     Shape roiOutShape = context->getOutputShape(kOutputRoiTensor);  in generateProposalsFloat16()
1039     Shape batchesOutShape = context->getOutputShape(kOutputBatchesTensor);  in generateProposalsFloat16()
1055 bool generateProposalsQuant(const uint8_t* scoresData, const Shape& scoresShape,  in generateProposalsQuant()
1056                             const uint8_t* bboxDeltasData, const Shape& bboxDeltasShape,  in generateProposalsQuant()
1057                             const int16_t* anchorsData, const Shape& anchorsShape,  in generateProposalsQuant()
1058                             const uint16_t* imageInfoData, const Shape& imageInfoShape,  in generateProposalsQuant()
1083     Shape scoresOutShape = context->getOutputShape(kOutputScoreTensor);  in generateProposalsQuant()
1086     Shape roiOutShape = context->getOutputShape(kOutputRoiTensor);  in generateProposalsQuant()
1089     Shape batchesOutShape = context->getOutputShape(kOutputBatchesTensor);  in generateProposalsQuant()
1166     Shape scoreShape = context->getInputShape(kScoreTensor);  in prepare()
1167     Shape bboxDeltasShape = context->getInputShape(kDeltaTensor);  in prepare()
1168     Shape anchorsShape = context->getInputShape(kAnchorTensor);  in prepare()
1169     Shape imageInfoDataShape = context->getInputShape(kImageInfoTensor);  in prepare()
1170     Shape outputScoreShape = context->getOutputShape(kOutputScoreTensor);  in prepare()
1171     Shape outputRoiShape = context->getOutputShape(kOutputRoiTensor);  in prepare()
1172     Shape outputBatchSplitShape = context->getOutputShape(kOutputBatchesTensor);  in prepare()
1308         const float* scoreData, const Shape& scoreShape, const float* deltaData,  in detectionPostprocessFloat32()
1309         const Shape& deltaShape, const float* anchorData, const Shape& anchorShape, float scaleY,  in detectionPostprocessFloat32()
1312         float scoreThreshold, bool isBGInLabel, float* scoreOutData, const Shape& scoreOutShape,  in detectionPostprocessFloat32()
1313         float* roiOutData, const Shape& roiOutShape, int32_t* classOutData,  in detectionPostprocessFloat32()
1314         const Shape& classOutShape, int32_t* detectionOutData, const Shape& detectionOutShape) {  in detectionPostprocessFloat32()
1413         const _Float16* scoreData, const Shape& scoreShape, const _Float16* deltaData,  in detectionPostprocessFloat16()
1414         const Shape& deltaShape, const _Float16* anchorData, const Shape& anchorShape, float scaleY,  in detectionPostprocessFloat16()
1417         float scoreThreshold, bool isBGInLabel, _Float16* scoreOutData, const Shape& scoreOutShape,  in detectionPostprocessFloat16()
1418         _Float16* roiOutData, const Shape& roiOutShape, int32_t* classOutData,  in detectionPostprocessFloat16()
1419         const Shape& classOutShape, int32_t* detectionOutData, const Shape& detectionOutShape) {  in detectionPostprocessFloat16()
1474     Shape scoreShape = context->getInputShape(kScoreTensor);  in prepare()
1475     Shape deltasShape = context->getInputShape(kDeltaTensor);  in prepare()
1476     Shape anchorsShape = context->getInputShape(kAnchorTensor);  in prepare()
1477     Shape outputScoreShape = context->getOutputShape(kOutputScoreTensor);  in prepare()
1478     Shape outputRoiShape = context->getOutputShape(kOutputRoiTensor);  in prepare()
1479     Shape outputClassShape = context->getOutputShape(kOutputClassTensor);  in prepare()
1480     Shape outputDetectionShape = context->getOutputShape(kOutputDetectionTensor);  in prepare()