1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
|
package llm
import (
"sync"
"time"
"go.jknobloc.com/x/dataset"
"go.jknobloc.com/x/tui"
)
func (e *Evaluator[R]) Run(title string, data dataset.Reader, cfg TokenBufferConfig) error {
devices := make([]int, len(e.models))
for i := range len(devices) {
devices[i] = i
}
devicePool := newPool(devices...)
var wg sync.WaitGroup
for range e.numWorkers {
wg.Add(1)
go func() {
defer wg.Done()
for b := range e.jobs {
device := devicePool.Acquire()
func() {
defer devicePool.Release(device)
e.execute(&b, device)
}()
e.completed.Add(int64(b.Size()))
}
}()
}
pb := tui.NewProgressBar(title, 20, 0, time.Now())
pb.Start(1*time.Second, func() int {
return int(e.completed.Load())
})
defer pb.Close()
tb := NewTokenBuffer(e.tokenizer, cfg)
tb.SetIncludeTail(cfg.PadLeft || cfg.PadRight)
b := newBatch(e.batchSize)
doc := 0
pos := 0
for w := range tb.Stream(data.Texts()) {
n := w.Document
if n != doc {
pos = 0
doc = n
}
tokens := w.Tokens
seen := w.Seen
if seen == 0 {
seen = 1 // first token as context
}
b.AddJob(Job{
Document: doc,
Position: pos,
Tokens: tokens,
Seen: seen,
PaddingLeft: w.PaddingLeft,
PaddingRight: w.PaddingRight,
})
pos++
if b.Size() == e.batchSize {
e.jobs <- *b
b = newBatch(e.batchSize)
e.scheduled.Add(int64(e.batchSize))
pb.SetTotal(int(e.scheduled.Load()))
}
}
if s := b.Size(); s > 0 {
e.jobs <- *b
e.scheduled.Add(int64(s))
pb.SetTotal(int(e.scheduled.Load()))
}
close(e.jobs)
wg.Wait()
close(e.results)
return nil
}
func (e *Evaluator[R]) execute(j *batch, device int) {
b := j.Size()
s := len(j.jobs[0].Tokens)
tokens := make([]int64, b*s)
for i, job := range j.jobs {
copy(tokens[i*s:], job.Tokens)
}
m := e.models[device]
logProbs := make([]float32, 0, b*(s-1))
if err := m.Score(tokens, b, &logProbs); err != nil {
panic(err) // TODO handle
}
for i, job := range j.jobs {
if job.Seen < 1 {
panic("empty context")
}
l := logProbs[i*(s-1)+job.PaddingLeft+job.Seen-1 : (i+1)*(s-1)]
t := toInt(job.Tokens[job.PaddingLeft+job.Seen:])
if job.PaddingRight > 0 {
l = l[:len(l)-job.PaddingRight]
t = t[:len(t)-job.PaddingRight]
}
r := e.callback(job, l, t)
e.results <- r
}
}
|
