ollama/convert/tokenizer_test.go

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package convert
import (
"io"
"io/fs"
"os"
"path/filepath"
"strings"
"testing"
"github.com/google/go-cmp/cmp"
)
func createTokenizerFS(t *testing.T, dir string, files map[string]io.Reader) fs.FS {
t.Helper()
for k, v := range files {
if err := func() error {
f, err := os.Create(filepath.Join(dir, k))
if err != nil {
return err
}
defer f.Close()
if _, err := io.Copy(f, v); err != nil {
return err
}
return nil
}(); err != nil {
t.Fatalf("unexpected error: %v", err)
}
}
return os.DirFS(dir)
}
func TestParseTokenizer(t *testing.T) {
cases := []struct {
name string
fsys fs.FS
specialTokenTypes []string
want *Tokenizer
}{
{
name: "string chat template",
fsys: createTokenizerFS(t, t.TempDir(), map[string]io.Reader{
"tokenizer.json": strings.NewReader(`{}`),
"tokenizer_config.json": strings.NewReader(`{
"chat_template": "<default template>"
}`),
}),
want: &Tokenizer{
Vocabulary: &Vocabulary{Model: "gpt2"},
Pre: "default",
Template: "<default template>",
},
},
{
name: "list chat template",
fsys: createTokenizerFS(t, t.TempDir(), map[string]io.Reader{
"tokenizer.json": strings.NewReader(`{}`),
"tokenizer_config.json": strings.NewReader(`{
"chat_template": [
{
"name": "default",
"template": "<default template>"
},
{
"name": "tools",
"template": "<tools template>"
}
]
}`),
}),
want: &Tokenizer{
Vocabulary: &Vocabulary{Model: "gpt2"},
Pre: "default",
Template: "<default template>",
},
},
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{
name: "added tokens",
fsys: createTokenizerFS(t, t.TempDir(), map[string]io.Reader{
"tokenizer.json": strings.NewReader(`{
"added_tokens": [
{
"id": 999,
"content": "<unused999>",
"special": false
}
]
}`),
}),
want: &Tokenizer{
Vocabulary: &Vocabulary{
Model: "gpt2",
Tokens: []string{"<unused999>"},
Scores: []float32{999},
Types: []int32{4},
},
Pre: "default",
},
},
{
name: "added tokens overlap vocab",
fsys: createTokenizerFS(t, t.TempDir(), map[string]io.Reader{
"tokenizer.json": strings.NewReader(`{
"added_tokens": [
{
"id": 0,
"content": "<pad>",
"special": true
}
],
"model": {
"vocab": {
"<pad>": 0
}
}
}`),
}),
want: &Tokenizer{
Vocabulary: &Vocabulary{
Model: "gpt2",
Tokens: []string{"<pad>"},
Scores: []float32{0},
Types: []int32{3},
},
Pre: "default",
},
},
{
name: "special token types",
fsys: createTokenizerFS(t, t.TempDir(), map[string]io.Reader{
"tokenizer.json": strings.NewReader(`{
"added_tokens": [
{
"id": 0,
"content": "<pad>",
"special": true
},
{
"id": 1,
"content": "<eos>",
"special": true
},
{
"id": 2,
"content": "<bos>",
"special": true
},
{
"id": 3,
"content": "<unk>",
"special": true
}
],
"model": {
"vocab": {
"<pad>": 0,
"<eos>": 1,
"<bos>": 2,
"<unk>": 3
}
}
}`),
"tokenizer_config.json": strings.NewReader(`{
"add_bos_token": true,
"add_eos_token": false,
"bos_token": "<bos>",
"eos_token": "<eos>",
"pad_token": "<pad>",
"unk_token": "<unk>"
}`),
}),
specialTokenTypes: []string{"pad", "eos", "bos", "unk"},
want: &Tokenizer{
Vocabulary: &Vocabulary{
Model: "gpt2",
Tokens: []string{"<pad>", "<eos>", "<bos>", "<unk>"},
Scores: []float32{0, 1, 2, 3},
Types: []int32{3, 3, 3, 3},
},
SpecialVocabulary: []*SpecialVocabulary{
{Type: "pad", Content: "<pad>", ID: 0, AddToken: false},
{Type: "eos", Content: "<eos>", ID: 1, AddToken: false},
{Type: "bos", Content: "<bos>", ID: 2, AddToken: true},
{Type: "unk", Content: "<unk>", ID: 3, AddToken: false},
},
Pre: "default",
},
},
}
for _, tt := range cases {
t.Run(tt.name, func(t *testing.T) {
tokenizer, err := parseTokenizer(tt.fsys, tt.specialTokenTypes)
if err != nil {
t.Fatalf("unexpected error: %v", err)
}
if diff := cmp.Diff(tt.want, tokenizer); diff != "" {
t.Errorf("unexpected tokenizer (-want +got):\n%s", diff)
}
})
}
}