62                                  const int32_t* batchesData, const Shape& batchesShape,  in bboxTransformFloat32()  argument
112                                  const int32_t* batchesData, const Shape& batchesShape,  in bboxTransformFloat16()  argument
123                                       bboxDeltasShape, batchesData, batchesShape,  in bboxTransformFloat16()
132                                const int32_t* batchesData, const Shape& batchesShape,  in bboxTransformQuant()  argument
145                                       bboxDeltasShape, batchesData, batchesShape,  in bboxTransformQuant()
154                                const int32_t* batchesData, const Shape& batchesShape,  in bboxTransformQuant()  argument
167                                       bboxDeltasShape, batchesData, batchesShape,  in bboxTransformQuant()
233     Shape batchesShape = context->getInputShape(kBatchesTensor);  in prepare()  local
239     NN_RET_CHECK_EQ(getNumberOfDimensions(batchesShape), 1);  in prepare()
252     NN_RET_CHECK_EQ(getSizeOfDimension(batchesShape, 0), numRois);  in prepare()
490                                    const int32_t* batchesData, const Shape& batchesShape,  in boxWithNmsLimitFloat32Compute()  argument
622                             const Shape& batchesShape, float scoreThreshold,  in boxWithNmsLimitFloat32()  argument
635             scores_float32.data(), scoresShape, roiData, roiShape, batchesData, batchesShape,  in boxWithNmsLimitFloat32()
644                             const int32_t* batchesData, const Shape& batchesShape,  in boxWithNmsLimitFloat16()  argument
659             batchesShape, scoreThreshold, maxNumDetections, softNmsKernel, iouThreshold, sigma,  in boxWithNmsLimitFloat16()
667                           const int32_t* batchesData, const Shape& batchesShape,  in boxWithNmsLimitQuant()  argument
681             batchesShape, scoreThreshold, maxNumDetections, softNmsKernel, iouThreshold, sigma,  in boxWithNmsLimitQuant()
689                           const int32_t* batchesData, const Shape& batchesShape,  in boxWithNmsLimitQuant()  argument
704             batchesShape, scoreThreshold, maxNumDetections, softNmsKernel, iouThreshold, sigma,  in boxWithNmsLimitQuant()
762     Shape batchesShape = context->getInputShape(kBatchesTensor);  in prepare()  local
770     NN_RET_CHECK(getNumberOfDimensions(batchesShape) == 1);  in prepare()
778     NN_RET_CHECK(getSizeOfDimension(batchesShape, 0) == numRois);  in prepare()
807     outputBatchSplitShape.type = batchesShape.type;  in prepare()