43                            const Shape& roiShape, const int32_t* batchSplitData,  in roiPoolingNhwc()  argument
58     uint32_t numRois = getSizeOfDimension(roiShape, 0);  in roiPoolingNhwc()
59     uint32_t roiInfoLength = getSizeOfDimension(roiShape, 1);  in roiPoolingNhwc()
132                        const Shape& roiShape, const int32_t* batchSplitData,  in roiPooling()  argument
139     NN_RET_CHECK(roiPoolingNhwc(input.getNhwcBuffer(), input.getNhwcShape(), roiData, roiShape,  in roiPooling()
148                                           const uint16_t* roiData, const Shape& roiShape,  in roiPooling()  argument
153     std::vector<float> roi_float32(getNumberOfElements(roiShape));  in roiPooling()
154     convertQuantToFloat32(roiData, roiShape.scale, roiShape.offset, &roi_float32);  in roiPooling()
155     NN_RET_CHECK(roiPooling(inputData, inputShape, roi_float32.data(), roiShape, batchSplitData,  in roiPooling()
163                                          const uint16_t* roiData, const Shape& roiShape,  in roiPooling()  argument
168     std::vector<float> roi_float32(getNumberOfElements(roiShape));  in roiPooling()
169     convertQuantToFloat32(roiData, roiShape.scale, roiShape.offset, &roi_float32);  in roiPooling()
170     NN_RET_CHECK(roiPooling(inputData, inputShape, roi_float32.data(), roiShape, batchSplitData,  in roiPooling()
181     Shape roiShape = context->getInputShape(kRoiTensor);  in prepare()  local
184     NN_RET_CHECK_EQ(getNumberOfDimensions(roiShape), 2u);  in prepare()
190     uint32_t numRois = getSizeOfDimension(roiShape, 0);  in prepare()
191     NN_RET_CHECK_EQ(getSizeOfDimension(roiShape, 1), 4u);  in prepare()
209     if (roiShape.type == OperandType::TENSOR_QUANT16_ASYMM) {  in prepare()
210         NN_RET_CHECK_EQ(roiShape.scale, 0.125f);  in prepare()
211         NN_RET_CHECK_EQ(roiShape.offset, 0);  in prepare()