Files
ollama/x/model/sentencepiece_test.go
Daniel Hiltgen 33ee7168ba Add experimental MLX backend and engine with imagegen support (#13648)
* WIP - MLX backend with gemma3

* MLX: add cmake and go tag build toggles

To build the new MLX backend code:
  cmake --preset MLX
  cmake --build --preset MLX --parallel
  cmake --install build --component MLX
  go build -tags mlx .

Note: the main.go entrypoint for the MLX engine will change in a follow up commit.

* add experimental image generation runtime

* add experimental image generation runtime

* MLX: wire up cuda build for linux

* MLX: get dependencies correct and dedup

This is still too large for a unified github artifact, but is now "correct" for the mlx_cuda_v13
directory.

* fix relative link bug in dedup

* Add darwin build and readme

* add go build tag for mlx dependent code and wire up build_darwin.sh

* lint cleanup

* macos: build mlx for x86

This will be CPU only.

* cuda build instructions and fix drift from mlx bump

* stale comment

* Delete agent helper doc

* Clean up readme.md

* Revise README for tokenizer clarity and details

Updated README to clarify tokenizer functionality and removed correctness section.

---------

Co-authored-by: jmorganca <jmorganca@gmail.com>
2026-01-08 16:18:59 -08:00

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This file contains ambiguous Unicode characters
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package model
import (
"log/slog"
"os"
"path/filepath"
"slices"
"testing"
"google.golang.org/protobuf/proto"
"github.com/ollama/ollama/convert/sentencepiece"
)
func loadSentencePieceVocab(t *testing.T) SentencePiece {
t.Helper()
bts, err := os.ReadFile(filepath.Join("..", "..", "model", "testdata", "gemma2", "tokenizer.model"))
if err != nil {
t.Fatal(err)
}
var spm sentencepiece.ModelProto
if err := proto.Unmarshal(bts, &spm); err != nil {
t.Fatal(err)
}
var v Vocabulary
for _, piece := range spm.GetPieces() {
v.Values = append(v.Values, piece.GetPiece())
v.Scores = append(v.Scores, piece.GetScore())
switch t := piece.GetType(); t {
case sentencepiece.ModelProto_SentencePiece_UNKNOWN,
sentencepiece.ModelProto_SentencePiece_CONTROL,
sentencepiece.ModelProto_SentencePiece_UNUSED,
sentencepiece.ModelProto_SentencePiece_BYTE:
v.Types = append(v.Types, int32(t))
default:
tt := int32(sentencepiece.ModelProto_SentencePiece_NORMAL)
// todo parse the special tokens file
// - this will roundtrip correctly but the <start_of_turn> and
// <end_of_turn> tokens aren't processed
v.Types = append(v.Types, tt)
}
}
return NewSentencePiece(&v)
}
func TestSentencePieceEncode(t *testing.T) {
logger := slog.New(slog.NewTextHandler(os.Stdout, &slog.HandlerOptions{Level: slog.LevelDebug}))
slog.SetDefault(logger)
tokenizer := loadSentencePieceVocab(t)
t.Run("basic roundtrip", func(t *testing.T) {
t.Parallel()
cases := []string{
"hello",
"hello ",
"hello ",
" hello",
" hello ",
" hello ",
"hello world",
"请考试我的软件12345",
"你好",
"Hello 你好 world!",
"Special characters: !@#$%^&*()_+-=[]{}|;':\",./<>?",
"Multilingual: 你好 こんにちは Привет Hola مرحبا",
"Numbers and symbols: 123456789 +- */",
"Special tokens: <bos> text <eos>",
"Code snippets: func main() { fmt.Println(\"Hello World\") }",
"Long text: " + "Lorem ipsum dolor sit amet, consectetur adipiscing elit. " +
"Sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. " +
"Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris.",
}
for _, want := range cases {
ids, err := tokenizer.Encode(want, true)
if err != nil {
t.Fatal(err)
}
if got, err := tokenizer.Decode(ids); err != nil {
t.Fatal(err)
} else if got != want {
t.Errorf("got %q, want %q [%#v]", got, want, ids)
}
}
})
t.Run("special tokens", func(t *testing.T) {
type candidate struct {
token string
ids []int32
}
cases := []candidate{
{"<bos>", []int32{2}},
{"<eos>", []int32{1}},
}
for _, want := range cases {
ids, err := tokenizer.Encode(want.token, true)
if err != nil {
t.Fatal(err)
}
if !slices.Equal(ids, want.ids) {
t.Errorf("got %#v, want %#v", ids, want.ids)
}
}
})
}
func TestSentencePieceDecodeByteTokens(t *testing.T) {
vocab := &Vocabulary{
Values: []string{
"normal",
"<0xEA>",
"<0x41>",
"<0xC3>",
"<0xA3>",
},
Types: []int32{
TOKEN_TYPE_NORMAL,
TOKEN_TYPE_BYTE,
TOKEN_TYPE_BYTE,
TOKEN_TYPE_BYTE,
TOKEN_TYPE_BYTE,
},
Scores: []float32{0, 0, 0, 0, 0},
}
spm := NewSentencePiece(vocab)
tests := []struct {
name string
ids []int32
expected string
}{
{
name: "single byte token",
ids: []int32{1},
expected: "\xea",
},
{
name: "ASCII byte token",
ids: []int32{2},
expected: "A",
},
{
name: "multiple byte tokens forming UTF-8 character",
ids: []int32{3, 4},
expected: "ã",
},
}
for _, tt := range tests {
t.Run(tt.name, func(t *testing.T) {
result, err := spm.Decode(tt.ids)
if err != nil {
t.Errorf("failed to decode token IDs %v: %v", tt.ids, err)
}
if result != tt.expected {
t.Errorf("got %q, want %q", result, tt.expected)
}
})
}
}