// // NPUTopKV2.cpp // MNN // // Created by MNN on 2019/09/07. // Copyright © 2018, Alibaba Group Holding Limited // #include "NPUTopKV2.hpp" #include "NPUBackend.hpp" using namespace std; namespace MNN { NPUTopKV2::NPUTopKV2(Backend *b, const Op *op, const std::vector &inputs, const std::vector &outputs) : MNN::NPUCommonExecution(b,op) {} ErrorCode NPUTopKV2::onResize(const std::vector &inputs, const std::vector &outputs) { mNpuBackend->setNetworkInput(inputs, mOp); auto opName = mOp->name()->str(); auto param = mOp->main_as_Axis(); shared_ptr prob(new hiai::op::TopK(opName)); auto xOp = mNpuBackend->getInputOps(mOp); auto inputIndex = mOp->inputIndexes()->data()[0]; auto iops = mNpuBackend->mGrapMap[inputIndex]; // x xOp = iops.back().first; mConst_w = hiai::op::Const(opName + "_w_const"); { ge::TensorDesc fdesc(ge::Shape({1}), ge::FORMAT_NCHW, ge::DT_INT32); ge::TensorPtr filter = std::make_shared(); filter->SetTensorDesc(fdesc); filter->SetData((uint8_t *)inputs[1]->host(), sizeof(int32_t)); mConst_w.set_attr_value(filter); } (*prob) .set_input_x(*xOp.get()) .set_input_k(mConst_w); mNpuBackend->setOutputOps(mOp, {prob}, outputs); return NO_ERROR; } NPUCreatorRegister> __topkv2_op(OpType_TopKV2); } // namespace MNN