59 lines
1.2 KiB
Go
59 lines
1.2 KiB
Go
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package main
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import (
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"fmt"
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"log"
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"github.com/sugarme/gotch"
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"github.com/sugarme/gotch/nn"
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ts "github.com/sugarme/gotch/tensor"
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"github.com/sugarme/gotch/vision"
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)
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const (
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ImageDimNN int64 = 784
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HiddenNodesNN int64 = 128
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LabelNN int64 = 10
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MnistDirNN string = "../../data/mnist"
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epochsNN = 200
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batchSizeNN = 256
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LrNN = 1e-3
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)
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func netInit(vs nn.Path) ts.Module {
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n := nn.Seq()
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n.Add(nn.NewLinear(vs.Sub("layer1"), ImageDimNN, HiddenNodesNN, nn.DefaultLinearConfig()))
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n.AddFn(func(xs ts.Tensor) ts.Tensor {
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return xs.MustRelu()
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})
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n.Add(nn.NewLinear(vs, HiddenNodesNN, LabelNN, nn.DefaultLinearConfig()))
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return n
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}
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func runNN() {
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var ds vision.Dataset
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ds = vision.LoadMNISTDir(MnistDirNN)
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vs := nn.NewVarStore(gotch.CPU)
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net := netInit(vs.Root())
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opt, err := nn.DefaultAdamConfig().Build(vs, LrNN)
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if err != nil {
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log.Fatal(err)
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}
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for epoch := 0; epoch < epochsNN; epoch++ {
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loss := net.Forward(ds.TrainImages).CrossEntropyForLogits(ds.TrainLabels)
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opt.BackwardStep(loss)
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testAccuracy := net.Forward(ds.TestImages).AccuracyForLogits(ds.TestLabels).MustView([]int64{-1}).MustFloat64Value([]int64{0})
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fmt.Printf("Epoch: %v - Loss: %.3f - Test accuracy: %.2f%%\n", epoch, loss, testAccuracy*100)
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}
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}
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