2019-06-17 20:10:35 +08:00
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//
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// CPUSelect.cpp
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// MNN
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//
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// Created by MNN on 2019/5/22.
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// Copyright © 2018 Alibaba. All rights reserved.
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//
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2019-12-27 22:16:57 +08:00
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#include "backend/cpu/CPUSelect.hpp"
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2019-06-17 20:10:35 +08:00
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namespace MNN {
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2020-07-04 01:21:30 +08:00
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2019-06-17 20:10:35 +08:00
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ErrorCode CPUSelect::onExecute(const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs) {
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2020-11-05 16:41:56 +08:00
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auto inSize0 = inputs[0]->elementSize();
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auto inSize1 = inputs[1]->elementSize();
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auto inSize2 = inputs[2]->elementSize();
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auto outSize = outputs[0]->elementSize();
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MNN_ASSERT(inSize0 == outSize);
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MNN_ASSERT(inSize1 == 1 || inSize1 == outSize);
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MNN_ASSERT(inSize2 == 1 || inSize2 == outSize);
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auto output = outputs[0]->host<float>();
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auto select = inputs[0]->host<int32_t>();
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auto input0 = inputs[1]->host<float>();
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auto input1 = inputs[2]->host<float>();
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for (int i = 0; i < outSize; i++) {
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if (select[i]) {
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if (inSize1 == 1) {
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output[i] = input0[0];
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} else {
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output[i] = input0[i];
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}
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2020-07-04 01:21:30 +08:00
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} else {
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2020-11-05 16:41:56 +08:00
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if (inSize2 == 1) {
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output[i] = input1[0];
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} else {
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output[i] = input1[i];
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}
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2020-07-04 01:21:30 +08:00
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}
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}
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2019-06-17 20:10:35 +08:00
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return NO_ERROR;
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}
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2020-07-04 01:21:30 +08:00
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2019-06-17 20:10:35 +08:00
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class CPUSelectCreator : 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 {
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return new CPUSelect(backend);
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}
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};
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REGISTER_CPU_OP_CREATOR(CPUSelectCreator, OpType_Select);
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} // namespace MNN
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