mirror of https://github.com/alibaba/MNN.git
59 lines
1.6 KiB
C++
59 lines
1.6 KiB
C++
//
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// CPUWhere.cpp
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// MNN
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//
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// Created by MNN on 2018/08/31.
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// Copyright © 2018, Alibaba Group Holding Limited
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//
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#include "backend/cpu/CPUWhere.hpp"
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#include "backend/cpu/CPUBackend.hpp"
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namespace MNN {
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ErrorCode CPUWhere::onExecute(const std::vector<Tensor*>& inputs, const std::vector<Tensor*>& outputs) {
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auto& ib = inputs[0]->buffer();
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auto& ob = outputs[0]->buffer();
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int32_t* inputData = inputs[0]->host<int32_t>();
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auto outputData = outputs[0]->host<int32_t>();
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std::vector<int32_t> trueVec;
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for (int i = 0; i < ob.dim[0].extent; i++) {
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if (inputData[i] > 0) {
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trueVec.push_back(i);
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}
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}
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// ob.dim[0].extent = (int)trueVec.size();
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int k = 0;
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for (int i = 0; i < trueVec.size(); i++) {
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int index = trueVec[i];
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for (int j = 0; j < ib.dimensions; j++) {
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int result = index / ib.dim[j].stride;
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index = index - result * ib.dim[j].stride;
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outputData[k] = result;
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k++;
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}
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}
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int defaultValue = 0;
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if (!trueVec.empty()) {
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defaultValue = trueVec[0];
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}
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for (int i = (int)trueVec.size(); i < ob.dim[0].extent; ++i) {
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outputData[i] = defaultValue;
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}
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return NO_ERROR;
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}
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class CPUWhereCreator : public CPUBackend::Creator {
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public:
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virtual Execution* onCreate(const std::vector<Tensor*>& inputs, const std::vector<Tensor*>& outputs,
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const MNN::Op* op, Backend* backend) const override {
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return new CPUWhere(backend);
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}
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};
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REGISTER_CPU_OP_CREATOR(CPUWhereCreator, OpType_Where);
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} // namespace MNN
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