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