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Commit 171eb040 authored by Michael Yang's avatar Michael Yang
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simplify safetensors reading

parent 3591bbe5
Hide whitespace changes
Inline Side-by-side
Showing with 49 additions and 81 deletions
convert/safetensors.go
View file @ 171eb040
......@@ -6,7 +6,6 @@ import (
"encoding/json"
"fmt"
"io"
"log/slog"
"os"
"path/filepath"
"regexp"
......@@ -14,7 +13,6 @@ import (
"strings"
"github.com/d4l3k/go-bfloat16"
"github.com/mitchellh/mapstructure"
"github.com/x448/float16"
"github.com/ollama/ollama/llm"
......@@ -29,38 +27,36 @@ type safetensorWriterTo struct {
filename string
dtype string
start, end, padding uint64
repacker func(string, []float32, []uint64) ([]float32, error)
offset, size int64
repacker func(string, []float32, []uint64) ([]float32, error)
}
type tensorMetaData struct {
Type string `mapstructure:"dtype"`
Shape []int `mapstructure:"shape"`
Offsets []int `mapstructure:"data_offsets"`
type safetensorMetadata struct {
Type string `json:"dtype"`
Shape []uint64 `json:"shape"`
Offsets []int64 `json:"data_offsets"`
}
type SafetensorFormat struct{}
func (m *SafetensorFormat) GetTensors(dirpath string, params *Params) ([]llm.Tensor, error) {
slog.Debug("getting tensor data")
var tensors []llm.Tensor
files, err := filepath.Glob(filepath.Join(dirpath, "/model-*.safetensors"))
matches, err := filepath.Glob(filepath.Join(dirpath, "*.safetensors"))
if err != nil {
return nil, err
}
var offset uint64
for _, f := range files {
for _, f := range matches {
var t []llm.Tensor
var err error
t, offset, err = m.readTensors(f, offset, params)
if err != nil {
slog.Error(err.Error())
return nil, err
}
tensors = append(tensors, t...)
}
slog.Debug(fmt.Sprintf("all tensors = %d", len(tensors)))
return tensors, nil
}
......@@ -71,76 +67,57 @@ func (m *SafetensorFormat) readTensors(fn string, offset uint64, params *Params)
}
defer f.Close()
var jsonSize uint64
if err := binary.Read(f, binary.LittleEndian, &jsonSize); err != nil {
var n int64
if err := binary.Read(f, binary.LittleEndian, &n); err != nil {
return nil, 0, err
}
buf := make([]byte, jsonSize)
_, err = io.ReadFull(f, buf)
if err != nil {
b := bytes.NewBuffer(make([]byte, 0, n))
if _, err = io.CopyN(b, f, n); err != nil {
return nil, 0, err
}
d := json.NewDecoder(bytes.NewBuffer(buf))
d.UseNumber()
var parsed map[string]interface{}
if err = d.Decode(&parsed); err != nil {
var headers map[string]safetensorMetadata
if err := json.NewDecoder(b).Decode(&headers); err != nil {
return nil, 0, err
}
var keys []string
for k := range parsed {
keys = append(keys, k)
for key := range headers {
if !strings.HasSuffix(key, "self_attn.rotary_embd.inv_freq") {
keys = append(keys, key)
}
}
slices.Sort(keys)
slog.Info("converting layers")
var tensors []llm.Tensor
for _, k := range keys {
if strings.HasSuffix(k, "self_attn.rotary_emb.inv_freq") {
continue
}
vals := parsed[k].(map[string]interface{})
var data tensorMetaData
if err = mapstructure.Decode(vals, &data); err != nil {
slog.Error("couldn't decode properly")
return nil, 0, err
}
for _, key := range keys {
value := headers[key]
var size uint64
var kind uint32
switch len(data.Shape) {
switch len(value.Shape) {
case 0:
// metadata
// valuedata
continue
case 1:
// convert to float32
kind = 0
size = uint64(data.Shape[0] * 4)
case 2:
// convert to float16
kind = 1
size = uint64(data.Shape[0] * data.Shape[1] * 2)
}
ggufName, err := m.GetLayerName(k)
name, err := m.GetLayerName(key)
if err != nil {
slog.Error(err.Error())
return nil, 0, err
}
shape := []uint64{0, 0, 0, 0}
for i := range data.Shape {
shape[i] = uint64(data.Shape[i])
}
shape := make([]uint64, len(value.Shape))
copy(shape, value.Shape)
slog.Debug(fmt.Sprintf("'%45s': '%30s' %10d [%#v]", k, ggufName, size, data.Shape))
pad := func(s int64) int64 {
return 8 + n + s
}
t := llm.Tensor{
Name: ggufName,
Name: name,
Kind: kind,
Offset: offset,
Shape: shape[:],
......@@ -151,19 +128,15 @@ func (m *SafetensorFormat) readTensors(fn string, offset uint64, params *Params)
params: params,
bo: params.ByteOrder,
filename: fn,
dtype: data.Type,
start: uint64(data.Offsets[0]),
end: uint64(data.Offsets[1]),
padding: 8 + jsonSize,
dtype: value.Type,
offset: pad(value.Offsets[0]),
size: pad(value.Offsets[1]) - pad(value.Offsets[0]),
}
offset += size
offset += t.Size()
tensors = append(tensors, t)
}
slog.Debug(fmt.Sprintf("total tensors for file = %d", len(tensors)))
slog.Debug(fmt.Sprintf("offset = %d", offset))
return tensors, offset, nil
}
......@@ -176,9 +149,7 @@ func (m *SafetensorFormat) GetParams(dirpath string) (*Params, error) {
var params Params
d := json.NewDecoder(f)
err = d.Decode(&params)
if err != nil {
if err := json.NewDecoder(f).Decode(&params); err != nil {
return nil, err
}
......@@ -233,34 +204,34 @@ func (r safetensorWriterTo) WriteTo(w io.Writer) (n int64, err error) {
}
defer f.Close()
if _, err = f.Seek(int64(r.padding+r.start), 0); err != nil {
if _, err = f.Seek(r.offset, io.SeekStart); err != nil {
return 0, err
}
var f32s []float32
switch r.dtype {
case "F32":
f32s = make([]float32, (r.end-r.start)/4)
f32s = make([]float32, r.size/4)
if err = binary.Read(f, r.bo, f32s); err != nil {
return 0, err
}
case "F16":
bts := make([]uint16, (r.end-r.start)/2)
if err = binary.Read(f, r.bo, bts); err != nil {
u16s := make([]uint16, r.size/2)
if err = binary.Read(f, r.bo, u16s); err != nil {
return 0, err
}
for _, b := range bts {
for _, b := range u16s {
f32s = append(f32s, float16.Frombits(b).Float32())
}
case "BF16":
bts := make([]byte, r.end-r.start)
if err = binary.Read(f, r.bo, bts); err != nil {
u8s := make([]uint8, r.size)
if err = binary.Read(f, r.bo, u8s); err != nil {
return 0, err
}
f32s = bfloat16.DecodeFloat32(bts)
f32s = bfloat16.DecodeFloat32(u8s)
default:
return 0, fmt.Errorf("unknown data type: %s", r.dtype)
}
......
llm/ggla.go
View file @ 171eb040
......@@ -119,7 +119,7 @@ func (llm *ggla) decode(rs io.ReadSeeker) error {
t.Offset = uint64(offset)
if _, err := rs.Seek(int64(t.size()), io.SeekCurrent); err != nil {
if _, err := rs.Seek(int64(t.Size()), io.SeekCurrent); err != nil {
return err
}
......
llm/ggml.go
View file @ 171eb040
......@@ -106,7 +106,7 @@ type Layer map[string]*Tensor
func (l Layer) size() (size uint64) {
for _, t := range l {
size += t.size()
size += t.Size()
}
return size
......@@ -185,7 +185,7 @@ func (t Tensor) parameters() uint64 {
return count
}
func (t Tensor) size() uint64 {
func (t Tensor) Size() uint64 {
return t.parameters() * t.typeSize() / t.blockSize()
}
......@@ -288,7 +288,7 @@ func (llm GGML) GraphSize(context, batch uint64) (partialOffload, fullOffload ui
// mixtral 8x22b
ff := uint64(llm.KV()["llama.feed_forward_length"].(uint32))
partialOffload = max(
3*ffnGateExpsWeight.size()+4*batch*(2*ff+headsKV+embedding+context+embedding/heads*headsKV),
3*ffnGateExpsWeight.Size()+4*batch*(2*ff+headsKV+embedding+context+embedding/heads*headsKV),
4*(context*batch*heads+context*embedding/heads*headsKV+batch*1024+embedding/heads*headsKV*batch),
)
} else if ffnGateWeight, ok := layers["blk.0"]["ffn_gate.0.weight"]; ok {
......
llm/gguf.go
View file @ 171eb040
......@@ -241,11 +241,11 @@ func (llm *gguf) Decode(rs io.ReadSeeker) error {
}
for _, tensor := range llm.tensors {
if _, err := rs.Seek(int64(tensor.size()), io.SeekCurrent); err != nil {
if _, err := rs.Seek(int64(tensor.Size()), io.SeekCurrent); err != nil {
return err
}
padding := llm.padding(int64(tensor.size()), int64(alignment))
padding := llm.padding(int64(tensor.Size()), int64(alignment))
if _, err := rs.Seek(padding, io.SeekCurrent); err != nil {
return err
}
......
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