wehub-resource-sync
52 lines
1.3 KiB
C++
52 lines
1.3 KiB
C++
//
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// Lenet.cpp
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// MNN
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//
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// Created by MNN on 2020/01/10.
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// Copyright © 2018, Alibaba Group Holding Limited
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//
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#include "Lenet.hpp"
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#include "NN.hpp"
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using namespace MNN::Express;
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namespace MNN {
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namespace Train {
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namespace Model {
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Lenet::Lenet() {
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NN::ConvOption convOption;
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convOption.kernelSize = {5, 5};
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convOption.channel = {1, 20};
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conv1.reset(NN::Conv(convOption));
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convOption.reset();
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convOption.kernelSize = {5, 5};
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convOption.channel = {20, 50};
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conv2.reset(NN::Conv(convOption));
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ip1.reset(NN::Linear(800, 500));
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ip2.reset(NN::Linear(500, 10));
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dropout.reset(NN::Dropout(0.5));
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registerModel({conv1, conv2, ip1, ip2, dropout});
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}
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std::vector<Express::VARP> Lenet::onForward(const std::vector<Express::VARP>& inputs) {
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using namespace Express;
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VARP x = inputs[0];
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x = conv1->forward(x);
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x = _MaxPool(x, {2, 2}, {2, 2});
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x = conv2->forward(x);
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x = _MaxPool(x, {2, 2}, {2, 2});
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x = _Reshape(x, {0, -1});
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x = _Convert(x, NCHW);
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x = ip1->forward(x);
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x = _Relu(x);
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x = dropout->forward(x);
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x = ip2->forward(x);
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x = _Softmax(x, 1);
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return {x};
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}
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} // namespace Model
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} // namespace Train
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} // namespace MNN
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