mirror of https://github.com/alibaba/MNN.git
52 lines
1.4 KiB
C++
52 lines
1.4 KiB
C++
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//
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// CPUSelu.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/CPUSelu.hpp"
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#include <math.h>
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#include "backend/cpu/CPUBackend.hpp"
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#include "core/Macro.h"
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namespace MNN {
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CPUSelu::CPUSelu(Backend *b, const MNN::Op *op) : MNN::Execution(b) {
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auto selu = op->main_as_Selu();
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mScale = selu->scale();
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mAlpha = selu->alpha();
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}
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ErrorCode CPUSelu::onExecute(const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs) {
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MNN_ASSERT(1 == inputs.size());
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MNN_ASSERT(1 == outputs.size());
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MNN_ASSERT(inputs[0]->buffer().type.bytes() == 4);
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auto scaleAlpha = mAlpha * mScale;
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auto ptr = inputs[0]->host<float>();
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auto outptr = outputs[0]->host<float>();
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int size = inputs[0]->size() / sizeof(float);
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for (int i = 0; i < size; i++) {
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if (ptr[i] < 0.f) {
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outptr[i] = scaleAlpha * (::expf(ptr[i]) - 1.f);
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} else {
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outptr[i] = mScale * ptr[i];
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}
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}
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return NO_ERROR;
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}
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class CPUSeluCreator : 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 CPUSelu(backend, op);
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}
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};
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REGISTER_CPU_OP_CREATOR(CPUSeluCreator, OpType_Selu);
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} // namespace MNN
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