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|
package lesci
import (
"context"
"database/sql"
"database/sql/driver"
"fmt"
"go.jknobloc.com/x/llm"
)
type logProb struct {
document int
token int
value float32
offset int
}
var (
sqlInsertContext = `
INSERT INTO context
SELECT uid::INTEGER,
token_ids[i]::INTEGER,
token_logprob[i]::FLOAT,
(i - 1)::INTEGER
FROM (SELECT uid, token_ids, token_logprob FROM read_parquet(?) WHERE step = ?) d,
UNNEST(range(1, len(token_ids) + 1)) AS t(i)`
)
func (e *Experiment) ensureContext(db *sql.DB) error {
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")
if !e.options.ForceContext {
fmt.Println("skipping context collection")
return nil
}
fmt.Println("clearing context")
if _, err := db.ExecContext(context.Background(), `DELETE FROM context`); err != nil {
return err
}
}
return nil
}
func (e *Experiment) ImportContext(db *sql.DB, name string, step int) error {
if err := e.ensureContext(db); err != nil {
return err
}
if res, err := db.ExecContext(context.Background(), sqlInsertContext, name, step); err != nil {
return err
} else if n, err := res.RowsAffected(); err == nil {
fmt.Printf("imported %d context rows from %s (step %d)\n", n, name, step)
}
if res, err := db.ExecContext(context.Background(), `DELETE FROM context WHERE token = 0 AND logprob = 0`); err != nil {
return err
} else if n, err := res.RowsAffected(); err == nil {
fmt.Printf("dropped %d leading pad rows\n", n)
}
// if res, err := db.ExecContext(context.Background(), `DELETE FROM context WHERE pos >= 2048`); err != nil {
// return err
// } else if n, err := res.RowsAffected(); err == nil {
// fmt.Printf("dropped %d out-of-range rows\n", n)
// }
return nil
}
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 err := e.ensureContext(db); err != nil {
return err
}
cfg := llm.TokenBufferConfig{
Window: 1024,
Stride: 512,
}
return AppendRows(db, "context", func(append AppendFunc) error {
return eval.RunAndCollect("Context", e.data, cfg, 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
})
})
}
|
