mirror of https://github.com/alibaba/MNN.git
76 lines
2.5 KiB
C++
76 lines
2.5 KiB
C++
//
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// CPUReduceJoin.cpp
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// MNN
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//
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// Created by MNN on 2018/08/05.
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// Copyright © 2018, Alibaba Group Holding Limited
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//
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#include "backend/cpu/CPUReduceJoin.hpp"
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#include "core/AutoStorage.h"
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#include "core/Macro.h"
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#include "core/TensorUtils.hpp"
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namespace MNN {
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class CPUReduceJoinExecutor : public Execution {
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public:
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CPUReduceJoinExecutor(Backend* bn, const MNN::Op* op) : Execution(bn) {
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auto rdjoin = op->main_as_ReduceJoin();
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mKeepDims = rdjoin->keepDims();
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if (nullptr != rdjoin->separator()) {
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mSeperate = rdjoin->separator()->c_str();
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}
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}
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virtual ~CPUReduceJoinExecutor() = default;
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virtual ErrorCode onExecute(const std::vector<Tensor*>& inputs, const std::vector<Tensor*>& outputs) override {
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auto inputTensor = inputs[0];
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auto outputTensor = outputs[0];
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TensorUtils::clearHandleData(outputTensor);
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char* outputString = nullptr;
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auto inputSize = inputTensor->size() / inputTensor->getType().bytes();
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auto inputStrings = inputTensor->host<char*>();
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std::vector<int> lengths(inputSize);
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int totalLength = 0;
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for (int i = 0; i < inputSize; ++i) {
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int length = (int)::strlen(inputStrings[i]);
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lengths[i] = length;
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totalLength += length;
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}
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auto fullLength = totalLength + (inputSize - 1) * mSeperate.size() + 1;
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AutoStorage<char> outputStringBuffer((int)fullLength);
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outputString = outputStringBuffer.get();
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outputString[fullLength - 1] = 0;
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::memcpy(outputString, inputStrings[0], lengths[0] * sizeof(char));
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int currentPos = lengths[0];
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for (int i = 1; i < inputSize; ++i) {
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::memcpy(outputString + currentPos, mSeperate.c_str(), mSeperate.size() * sizeof(char));
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currentPos += mSeperate.size();
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::memcpy(outputString + currentPos, inputStrings[i], lengths[i] * sizeof(char));
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currentPos += lengths[i];
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}
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outputTensor->host<char*>()[0] = ::strdup(outputString);
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return NO_ERROR;
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}
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private:
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std::string mSeperate;
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bool mKeepDims;
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};
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Execution* CPUReduceJoinCreator::onCreate(const std::vector<Tensor*>& inputs, const std::vector<Tensor*>& outputs,
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const MNN::Op* op, Backend* backend) const {
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return new CPUReduceJoinExecutor(backend, op);
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}
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REGISTER_CPU_OP_CREATOR(CPUReduceJoinCreator, OpType_ReduceJoin);
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} // namespace MNN
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