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
|
package main
import (
"fmt"
"log"
"math"
"sort"
ort "github.com/yalue/onnxruntime_go"
)
func main() {
ort.SetSharedLibraryPath("lib/onnxruntime-osx-arm64-1.22.0/lib/libonnxruntime.1.22.0.dylib")
if err := ort.InitializeEnvironment(); err != nil {
log.Fatal(err)
}
defer ort.DestroyEnvironment()
inputNames := []string{"input_ids", "position_ids", "attention_mask"}
outputNames := []string{"logits"}
tokens, _ := ort.NewTensor[int64]([]int64{1, 1}, []int64{464})
positions, _ := ort.NewTensor[int64]([]int64{1, 1}, []int64{0})
attentionMask, _ := ort.NewTensor[int64]([]int64{1, 1}, []int64{1})
output, _ := ort.NewEmptyTensor[float32]([]int64{1, 1, 50257})
session, err := ort.NewAdvancedSession(
"scripts/onnx-gpt2/model.onnx",
inputNames,
outputNames,
[]ort.Value{ort.Value(tokens), ort.Value(positions), ort.Value(attentionMask)},
[]ort.Value{ort.Value(output)},
nil,
)
if err != nil {
log.Fatal(err)
}
defer session.Destroy()
if err := session.Run(); err != nil {
log.Fatal(err)
}
logits := output.GetData()
probs := softmax(logits)
idx, p := topK(probs, 10)
for i, t := range idx {
fmt.Printf("%.4f [%d]\n", p[i], t)
}
}
func softmax(logits []float32) []float32 {
m := float32(0)
for _, v := range logits {
if v > m {
m = v
}
}
s := float32(0.0)
r := make([]float32, len(logits))
for i, v := range logits {
e := float32(math.Exp(float64(v - m)))
r[i] = e
s += e
}
for i := range r {
r[i] /= s
}
return r
}
func topK(p []float32, k int) ([]int, []float32) {
n := len(p)
if k > n {
k = n
}
idx := make([]int, n)
for i := range idx {
idx[i] = i
}
sort.Slice(idx, func(i, j int) bool {
return p[idx[i]] > p[idx[j]]
})
topIdx := idx[:k]
topP := make([]float32, k)
for i := 0; i < k; i++ {
topP[i] = p[topIdx[i]]
}
return topIdx, topP
}
|
