ollama/convert/reader_safetensors.go
2024-07-31 15:58:55 -07:00

149 lines
3.1 KiB
Go

package convert
import (
"bytes"
"encoding/binary"
"encoding/json"
"fmt"
"io"
"io/fs"
"slices"
"github.com/d4l3k/go-bfloat16"
"github.com/x448/float16"
"golang.org/x/exp/maps"
)
type safetensorMetadata struct {
Type string `json:"dtype"`
Shape []uint64 `json:"shape"`
Offsets []int64 `json:"data_offsets"`
}
func parseSafetensors(fsys fs.FS, ps ...string) ([]Tensor, error) {
var ts []Tensor
for _, p := range ps {
f, err := fsys.Open(p)
if err != nil {
return nil, err
}
defer f.Close()
var n int64
if err := binary.Read(f, binary.LittleEndian, &n); err != nil {
return nil, err
}
b := bytes.NewBuffer(make([]byte, 0, n))
if _, err = io.CopyN(b, f, n); err != nil {
return nil, err
}
var headers map[string]safetensorMetadata
if err := json.NewDecoder(b).Decode(&headers); err != nil {
return nil, err
}
keys := maps.Keys(headers)
slices.Sort(keys)
for _, key := range keys {
if value := headers[key]; value.Type != "" {
ts = append(ts, safetensor{
fs: fsys,
path: p,
dtype: value.Type,
offset: safetensorsPad(n, value.Offsets[0]),
size: safetensorsPad(n, value.Offsets[1]) - safetensorsPad(n, value.Offsets[0]),
tensorBase: &tensorBase{
name: key,
shape: value.Shape,
},
})
}
}
}
return ts, nil
}
// safetensorsPad returns the padded size of the safetensors file given a length n and offset s
func safetensorsPad(n, offset int64) int64 {
return 8 + n + offset
}
type safetensor struct {
fs fs.FS
path string
dtype string
offset int64
size int64
*tensorBase
}
func (st safetensor) WriteTo(w io.Writer) (int64, error) {
f, err := st.fs.Open(st.path)
if err != nil {
return 0, err
}
defer f.Close()
if seeker, ok := f.(io.Seeker); ok {
if _, err := seeker.Seek(st.offset, io.SeekStart); err != nil {
return 0, err
}
} else {
if _, err := io.CopyN(io.Discard, f, st.offset); err != nil {
return 0, err
}
}
var f32s []float32
switch st.dtype {
case "F32":
f32s = make([]float32, st.size/4)
if err = binary.Read(f, binary.LittleEndian, f32s); err != nil {
return 0, err
}
case "F16":
u16s := make([]uint16, st.size/2)
if err = binary.Read(f, binary.LittleEndian, u16s); err != nil {
return 0, err
}
for _, b := range u16s {
f32s = append(f32s, float16.Frombits(b).Float32())
}
case "BF16":
u8s := make([]uint8, st.size)
if err = binary.Read(f, binary.LittleEndian, u8s); err != nil {
return 0, err
}
f32s = bfloat16.DecodeFloat32(u8s)
default:
return 0, fmt.Errorf("unknown data type: %s", st.dtype)
}
if st.repacker != nil {
f32s, err = st.repacker(st.Name(), f32s, st.Shape())
if err != nil {
return 0, err
}
}
switch st.Kind() {
case tensorKindF32:
return 0, binary.Write(w, binary.LittleEndian, f32s)
case tensorKindF16:
f16s := make([]uint16, len(f32s))
for i := range f32s {
f16s[i] = float16.Fromfloat32(f32s[i]).Bits()
}
return 0, binary.Write(w, binary.LittleEndian, f16s)
default:
return 0, fmt.Errorf("unknown storage type: %d", st.Kind())
}
}