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package lesci
import (
"database/sql"
"database/sql/driver"
"fmt"
"go.jknobloc.com/x/llm"
)
type logProb struct {
document int
token int
value float32
offset int
}
func (e *Experiment) BuildContext(db *sql.DB) error {
eval := llm.NewEvaluator(e.model, e.tokenizer, func(job llm.Job, logProbs []float32, tokens []int) []logProb {
r := make([]logProb, len(tokens))
for i, token := range tokens {
r[i] = logProb{
document: job.Document,
token: token,
value: logProbs[i],
offset: job.Position*512 + job.Seen + i, // TODO refactor
}
}
return r
}, llm.EvaluatorConfig{
BatchSize: 32,
NumWorkers: 64,
})
if ok, err := EnsureTable(db, "context", `CREATE TABLE context(uid INTEGER, token INTEGER, logprob FLOAT, pos INTEGER)`); err != nil {
return err
} else if !ok {
fmt.Println("context table not empty")
return nil
}
return AppendRows(db, "context", func(append AppendFunc) error {
return eval.RunAndCollect("Context", e.data, 1024, 512, func(r []logProb) error {
for _, l := range r {
if err := append([]driver.Value{l.document, l.token, l.value, l.offset}); err != nil {
return err
}
}
return nil
})
})
}
|
