/
dataset.go
73 lines (62 loc) · 1.27 KB
/
dataset.go
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package trainer
import (
"context"
"github.com/ChizhovVadim/CounterGo/internal/domain"
"github.com/ChizhovVadim/CounterGo/pkg/common"
"golang.org/x/sync/errgroup"
)
type Sample struct {
Input []int16
Target float32
}
func loadDataset(
ctx context.Context,
datasetProvider IDatasetProvider,
mirror bool,
) ([]Sample, error) {
g, ctx := errgroup.WithContext(ctx)
var dataset = make(chan domain.DatasetItem, 128)
g.Go(func() error {
defer close(dataset)
return datasetProvider.Load(ctx, dataset)
})
var result []Sample
g.Go(func() error {
var samples, err = processDataset(ctx, dataset, mirror)
if err != nil {
return err
}
result = samples
return nil
})
var err = g.Wait()
if err != nil {
return nil, err
}
return result, nil
}
func processDataset(
ctx context.Context,
dataset <-chan domain.DatasetItem,
mirror bool,
) ([]Sample, error) {
var result []Sample
for item := range dataset {
pos, err := common.NewPositionFromFEN(item.Fen)
if err != nil {
return nil, err
}
input := toFeatures(&pos)
result = append(result, Sample{
Input: input,
Target: float32(item.Target),
})
if mirror {
result = append(result, Sample{
Input: mirrorInput(input),
Target: float32(1 - item.Target),
})
}
}
return result, nil
}