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package main
import (
"database/sql"
"fmt"
"log"
_ "github.com/duckdb/duckdb-go/v2"
"go.jknobloc.com/x/research/entropy"
"github.com/jonasknobloch/mbpe"
"go.jknobloc.com/x/dataset"
"go.jknobloc.com/x/gpt2"
"go.jknobloc.com/x/shelf"
"go.jknobloc.com/x/tokenizer/bpe"
)
type NoPreTok struct{}
func (p *NoPreTok) PreTokenize(s string) []string {
return []string{s}
}
const CorpusMean = -0.7749100363022372
const Threshold = -2.0
func main() {
dict := mbpe.NewDict()
if err := dict.Load(shelf.Abs("results/knobloch/minipile/dict.txt")); err != nil {
log.Fatal(err)
}
if err := gpt2.InitializeEnvironment(); err != nil {
log.Fatal(err)
}
// m := model()
// t := tokenizer()
// d := data()
//
// if err := entropy.Context(m, t, d); err != nil {
// log.Fatal(err)
// }
o := shelf.Abs("results/runs-entropy/lesci_minipile_test_256_seed_default/gpt2_256_m000_minipile_seed/lesci.db")
var db *sql.DB
if database, err := initDatabase(o); err != nil {
log.Fatal(err)
} else {
db = database
}
defer db.Close()
db.SetMaxOpenConns(1)
foo := tokenizerMBPE()
type candidate struct {
src string
ids []int
means []float64
occurrences int64
}
candidates := make([]candidate, 0)
baseline := entropy.NewBaseline()
for i, c := range dict.Items()[10000:] {
if i > 10 {
break
}
s := c.Src()
if len(s) < 10 {
continue
}
ids := foo.Tokenize(s)
means, occurrences, err := entropy.MeanLogProbs(ids, db)
if err != nil {
log.Fatal(err)
}
if occurrences == 0 {
continue
}
{
occurrences, err := entropy.LogProbs(ids, db)
if err != nil {
log.Fatal(err)
}
fmt.Println(ids)
fmt.Println(occurrences)
}
candidates = append(candidates, candidate{s, ids, means, occurrences})
baseline.Add(means)
}
for _, c := range candidates {
fmt.Println(c.ids)
fmt.Println(foo.Decoder().Decode([]string{c.src}))
fmt.Println(c.means, c.occurrences)
fmt.Println("excess ", entropy.Excess(c.means, Threshold))
fmt.Println("spikes ", entropy.Spikes(c.means))
fmt.Println("deviations", baseline.Deviations(c.means))
fmt.Println()
fmt.Println()
fmt.Println()
}
if err := gpt2.DestroyEnvironment(); err != nil {
log.Fatal(err)
}
}
// func must[T any](v T, err error) T {
// if err != nil {
// log.Fatal(err)
// }
//
// return v
// }
func model() *gpt2.Model {
cfg := gpt2.ConfigDefault()
cfg.VocabSize = 256
opts := gpt2.Options{
WithCache: false,
WithLogits: false,
WithLogProbs: true,
}
m := gpt2.NewModel(shelf.Abs("models/mbpe/minipile-byte/gpt2_256_m000_minipile_seed/model_eval.onnx"), cfg, opts)
if err := m.Init(); err != nil {
log.Fatal(err)
}
return m
}
func tokenizer() *bpe.Tokenizer {
var tok *bpe.Tokenizer
v := shelf.Abs("tokenizers/minipile/tokenizer_gpt2_256_m000_minipile/vocab.json")
m := shelf.Abs("tokenizers/minipile/tokenizer_gpt2_256_m000_minipile/merges.txt")
if t, err := bpe.NewTokenizerFromFiles(v, m, bpe.DefaultConfig()); err != nil {
log.Fatal(err)
} else {
tok = t
}
return tok
}
func tokenizerMBPE() *mbpe.Tokenizer {
var tok *bpe.Tokenizer
v := shelf.Abs("tokenizers/minipile/tokenizer_gpt2_256_m000_minipile/vocab.json")
m := shelf.Abs("tokenizers/minipile/tokenizer_gpt2_256_m000_minipile/merges.txt")
if t, err := bpe.NewTokenizerFromFiles(v, m, bpe.DefaultConfig()); err != nil {
log.Fatal(err)
} else {
tok = t
}
foo := bpe.MBPE(tok)
foo.SetPreTokenizer(&NoPreTok{})
return foo
}
func data() dataset.Reader {
var miniPile *dataset.ParquetReader
if r, err := dataset.NewParquetReader(shelf.Abs("data/minipile/validation")); err != nil {
log.Fatal(err)
} else {
miniPile = r
}
return dataset.NewClampedReader(miniPile, 10)
}
func initDatabase(dsn string) (*sql.DB, error) {
var db *sql.DB
if database, err := sql.Open("duckdb", dsn); err != nil {
return nil, err
} else {
db = database
}
if err := db.Ping(); err != nil {
_ = db.Close()
return nil, err
}
return db, nil
}
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