llm: speed up gguf decoding by a lot (#5246)

Previously, some costly things were causing the loading of GGUF files
and their metadata and tensor information to be VERY slow:

  * Too many allocations when decoding strings
  * Hitting disk for each read of each key and value, resulting in a
    not-okay amount of syscalls/disk I/O.

The show API is now down to 33ms from 800ms+ for llama3 on a macbook pro
m3.

This commit also prevents collecting large arrays of values when
decoding GGUFs (if desired). When such keys are encountered, their
values are null, and are encoded as such in JSON.

Also, this fixes a broken test that was not encoding valid GGUF.
This commit is contained in:
Blake Mizerany 2024-06-24 21:47:52 -07:00 committed by GitHub
parent 2aa91a937b
commit cb42e607c5
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
13 changed files with 263 additions and 69 deletions

View file

@ -53,7 +53,7 @@ func (llm *ggla) Tensors() Tensors {
return llm.tensors
}
func (llm *ggla) decode(rs io.ReadSeeker) error {
func (llm *ggla) decode(rs io.ReadSeeker) (retErr error) {
var r uint32
if err := binary.Read(rs, binary.LittleEndian, &r); err != nil {
return err
@ -69,9 +69,18 @@ func (llm *ggla) decode(rs io.ReadSeeker) error {
for {
var dims uint32
if err := binary.Read(rs, binary.LittleEndian, &dims); err != nil {
if errors.Is(err, io.EOF) {
return nil
}
return err
}
defer func() {
if errors.Is(retErr, io.EOF) {
retErr = io.ErrUnexpectedEOF
}
}()
var namesize uint32
if err := binary.Read(rs, binary.LittleEndian, &namesize); err != nil {
return err
@ -108,7 +117,7 @@ func (llm *ggla) decode(rs io.ReadSeeker) error {
return err
}
if _, err := rs.Seek((offset+31)&-32, io.SeekStart); err != nil {
if _, err := rs.Seek((offset+31)&-32-offset, io.SeekCurrent); err != nil {
return err
}

View file

@ -6,6 +6,8 @@ import (
"fmt"
"io"
"strings"
"github.com/ollama/ollama/util/bufioutil"
)
type GGML struct {
@ -278,7 +280,18 @@ func DetectGGMLType(b []byte) string {
}
}
func DecodeGGML(rs io.ReadSeeker) (*GGML, int64, error) {
// DecodeGGML decodes a GGML model from the given reader.
//
// It collects array values for arrays with a size less than or equal to
// maxArraySize. If maxArraySize is 0, the default value of 1024 is used. If
// the maxArraySize is negative, all arrays are collected.
func DecodeGGML(rs io.ReadSeeker, maxArraySize int) (*GGML, int64, error) {
if maxArraySize == 0 {
maxArraySize = 1024
}
rs = bufioutil.NewBufferedSeeker(rs, 32<<10)
var magic uint32
if err := binary.Read(rs, binary.LittleEndian, &magic); err != nil {
return nil, 0, err
@ -291,17 +304,15 @@ func DecodeGGML(rs io.ReadSeeker) (*GGML, int64, error) {
case FILE_MAGIC_GGLA:
c = &containerGGLA{}
case FILE_MAGIC_GGUF_LE:
c = &containerGGUF{ByteOrder: binary.LittleEndian}
c = &containerGGUF{ByteOrder: binary.LittleEndian, maxArraySize: maxArraySize}
case FILE_MAGIC_GGUF_BE:
c = &containerGGUF{ByteOrder: binary.BigEndian}
c = &containerGGUF{ByteOrder: binary.BigEndian, maxArraySize: maxArraySize}
default:
return nil, 0, errors.New("invalid file magic")
}
model, err := c.Decode(rs)
if errors.Is(err, io.EOF) {
// noop
} else if err != nil {
if err != nil {
return nil, 0, err
}
@ -321,7 +332,7 @@ func (llm GGML) GraphSize(context, batch uint64) (partialOffload, fullOffload ui
embedding := llm.KV().EmbeddingLength()
heads := llm.KV().HeadCount()
headsKV := llm.KV().HeadCountKV()
vocab := uint64(len(llm.KV()["tokenizer.ggml.tokens"].([]any)))
vocab := uint64(llm.KV()["tokenizer.ggml.tokens"].(*array).size)
embeddingHeads := llm.KV().EmbeddingHeadCount()
embeddingHeadsK := llm.KV().EmbeddingHeadCountK()

1
llm/ggml_test.go Normal file
View file

@ -0,0 +1 @@
package llm

View file

@ -3,11 +3,10 @@ package llm
import (
"bytes"
"encoding/binary"
"encoding/json"
"fmt"
"io"
"strings"
"log/slog"
)
type containerGGUF struct {
@ -29,6 +28,12 @@ type containerGGUF struct {
NumTensor uint64
NumKV uint64
}
maxArraySize int
}
func (c *containerGGUF) canCollectArray(size int) bool {
return c.maxArraySize < 0 || size <= c.maxArraySize
}
func (c *containerGGUF) Name() string {
@ -54,7 +59,6 @@ func (c *containerGGUF) Decode(rs io.ReadSeeker) (model, error) {
}
model := newGGUF(c)
slog.Debug(fmt.Sprintf("model = %#v", model))
if err := model.Decode(rs); err != nil {
return nil, err
}
@ -85,6 +89,8 @@ type gguf struct {
tensors []*Tensor
parameters uint64
scratch [16 << 10]byte
}
func newGGUF(container *containerGGUF) *gguf {
@ -181,34 +187,34 @@ func (llm *gguf) Decode(rs io.ReadSeeker) error {
}
// decode tensors
for i := 0; uint64(i) < llm.numTensor(); i++ {
for range llm.numTensor() {
name, err := readGGUFString(llm, rs)
if err != nil {
return err
return fmt.Errorf("failed to read tensor name: %w", err)
}
// dims is the number of dimensions in the tensor
dims, err := readGGUF[uint32](llm, rs)
if err != nil {
return err
return fmt.Errorf("failed to read tensor dimensions: %w", err)
}
shape := [4]uint64{1, 1, 1, 1}
for i := 0; uint32(i) < dims; i++ {
shape[i], err = readGGUF[uint64](llm, rs)
if err != nil {
return err
return fmt.Errorf("failed to read tensor shape: %w", err)
}
}
kind, err := readGGUF[uint32](llm, rs)
if err != nil {
return err
return fmt.Errorf("failed to read tensor kind: %w", err)
}
offset, err := readGGUF[uint64](llm, rs)
if err != nil {
return err
return fmt.Errorf("failed to read tensor offset: %w", err)
}
tensor := Tensor{
@ -230,24 +236,19 @@ func (llm *gguf) Decode(rs io.ReadSeeker) error {
alignment = 32
}
offset, err := rs.Seek(0, io.SeekCurrent)
if err != nil {
return err
}
padding := llm.padding(offset, int64(alignment))
if _, err := rs.Seek(padding, io.SeekCurrent); err != nil {
return err
}
for _, tensor := range llm.tensors {
if _, err := rs.Seek(int64(tensor.Size()), io.SeekCurrent); err != nil {
return err
offset, err := rs.Seek(0, io.SeekCurrent)
if err != nil {
return fmt.Errorf("failed to get current offset: %w", err)
}
padding := llm.padding(int64(tensor.Size()), int64(alignment))
padding := llm.padding(offset, int64(alignment))
if _, err := rs.Seek(padding, io.SeekCurrent); err != nil {
return err
return fmt.Errorf("failed to seek to init padding: %w", err)
}
if _, err := rs.Seek(int64(tensor.Size()), io.SeekCurrent); err != nil {
return fmt.Errorf("failed to seek to tensor: %w", err)
}
}
@ -285,22 +286,48 @@ func readGGUFV1String(llm *gguf, r io.Reader) (string, error) {
return b.String(), nil
}
func discardGGUFString(llm *gguf, r io.Reader) error {
buf := llm.scratch[:8]
_, err := io.ReadFull(r, buf)
if err != nil {
return err
}
size := int(llm.ByteOrder.Uint64(buf))
for size > 0 {
n, err := r.Read(llm.scratch[:min(size, cap(llm.scratch))])
if err != nil {
return err
}
size -= n
}
return nil
}
func readGGUFString(llm *gguf, r io.Reader) (string, error) {
if llm.Version == 1 {
return readGGUFV1String(llm, r)
}
var length uint64
if err := binary.Read(r, llm.ByteOrder, &length); err != nil {
buf := llm.scratch[:8]
_, err := io.ReadFull(r, buf)
if err != nil {
return "", err
}
var b bytes.Buffer
if _, err := io.CopyN(&b, r, int64(length)); err != nil {
length := int(llm.ByteOrder.Uint64(buf))
if length > len(llm.scratch) {
buf = make([]byte, length)
} else {
buf = llm.scratch[:length]
}
clear(buf)
_, err = io.ReadFull(r, buf)
if err != nil {
return "", err
}
return b.String(), nil
return string(buf), nil
}
func writeGGUFString(llm *gguf, w io.Writer, s string) error {
@ -316,7 +343,16 @@ func writeGGUFString(llm *gguf, w io.Writer, s string) error {
return err
}
func readGGUFV1Array(llm *gguf, r io.Reader) (a []any, err error) {
type array struct {
size int
values []any
}
func (a *array) MarshalJSON() ([]byte, error) {
return json.Marshal(a.values)
}
func readGGUFV1Array(llm *gguf, r io.Reader) (*array, error) {
t, err := readGGUF[uint32](llm, r)
if err != nil {
return nil, err
@ -327,7 +363,12 @@ func readGGUFV1Array(llm *gguf, r io.Reader) (a []any, err error) {
return nil, err
}
for i := 0; uint32(i) < n; i++ {
a := &array{size: int(n)}
if llm.canCollectArray(int(n)) {
a.values = make([]any, 0, int(n))
}
for i := range n {
var e any
switch t {
case ggufTypeUint8:
@ -361,13 +402,15 @@ func readGGUFV1Array(llm *gguf, r io.Reader) (a []any, err error) {
return nil, err
}
a = append(a, e)
if a.values != nil {
a.values[i] = e
}
}
return
return a, nil
}
func readGGUFArray(llm *gguf, r io.Reader) (a []any, err error) {
func readGGUFArray(llm *gguf, r io.Reader) (*array, error) {
if llm.Version == 1 {
return readGGUFV1Array(llm, r)
}
@ -382,7 +425,12 @@ func readGGUFArray(llm *gguf, r io.Reader) (a []any, err error) {
return nil, err
}
for i := 0; uint64(i) < n; i++ {
a := &array{size: int(n)}
if llm.canCollectArray(int(n)) {
a.values = make([]any, int(n))
}
for i := range n {
var e any
switch t {
case ggufTypeUint8:
@ -408,7 +456,11 @@ func readGGUFArray(llm *gguf, r io.Reader) (a []any, err error) {
case ggufTypeBool:
e, err = readGGUF[bool](llm, r)
case ggufTypeString:
e, err = readGGUFString(llm, r)
if a.values != nil {
e, err = readGGUFString(llm, r)
} else {
err = discardGGUFString(llm, r)
}
default:
return nil, fmt.Errorf("invalid array type: %d", t)
}
@ -416,10 +468,12 @@ func readGGUFArray(llm *gguf, r io.Reader) (a []any, err error) {
return nil, err
}
a = append(a, e)
if a.values != nil {
a.values[i] = e
}
}
return
return a, nil
}
func writeGGUFArray[S ~[]E, E any](llm *gguf, w io.Writer, t uint32, s S) error {

View file

@ -22,13 +22,14 @@ func TestEstimateGPULayers(t *testing.T) {
defer f.Close()
gguf := NewGGUFV3(binary.LittleEndian)
inputLayerCount := 5
tensors := []Tensor{
{Name: "blk.0.attn.weight", Kind: uint32(0), Offset: uint64(0), Shape: []uint64{1, 1, 1, 1}, WriterTo: &bytes.Reader{}},
{Name: "blk.1.attn.weight", Kind: uint32(0), Offset: uint64(0), Shape: []uint64{1, 1, 1, 1}, WriterTo: &bytes.Reader{}},
{Name: "blk.2.attn.weight", Kind: uint32(0), Offset: uint64(0), Shape: []uint64{1, 1, 1, 1}, WriterTo: &bytes.Reader{}},
{Name: "blk.3.attn.weight", Kind: uint32(0), Offset: uint64(0), Shape: []uint64{1, 1, 1, 1}, WriterTo: &bytes.Reader{}},
{Name: "blk.4.attn.weight", Kind: uint32(0), Offset: uint64(0), Shape: []uint64{1, 1, 1, 1}, WriterTo: &bytes.Reader{}},
{Name: "output.weight", Kind: uint32(0), Offset: uint64(0), Shape: []uint64{1, 1, 1, 1}, WriterTo: &bytes.Reader{}},
{Name: "blk.0.attn.weight", Kind: uint32(0), Offset: uint64(0), Shape: []uint64{1, 1, 1, 1}, WriterTo: bytes.NewReader(make([]byte, 32))},
{Name: "blk.1.attn.weight", Kind: uint32(0), Offset: uint64(0), Shape: []uint64{1, 1, 1, 1}, WriterTo: bytes.NewReader(make([]byte, 32))},
{Name: "blk.2.attn.weight", Kind: uint32(0), Offset: uint64(0), Shape: []uint64{1, 1, 1, 1}, WriterTo: bytes.NewReader(make([]byte, 32))},
{Name: "blk.3.attn.weight", Kind: uint32(0), Offset: uint64(0), Shape: []uint64{1, 1, 1, 1}, WriterTo: bytes.NewReader(make([]byte, 32))},
{Name: "blk.4.attn.weight", Kind: uint32(0), Offset: uint64(0), Shape: []uint64{1, 1, 1, 1}, WriterTo: bytes.NewReader(make([]byte, 32))},
{Name: "output.weight", Kind: uint32(0), Offset: uint64(0), Shape: []uint64{1, 1, 1, 1}, WriterTo: bytes.NewReader(make([]byte, 32))},
}
assert.Len(t, tensors, inputLayerCount+1)
err = gguf.Encode(f, KV{
@ -45,8 +46,10 @@ func TestEstimateGPULayers(t *testing.T) {
}, tensors)
require.NoError(t, err)
ggml, err := LoadModel(f.Name())
require.NoError(t, err)
ggml, err := LoadModel(f.Name(), 0)
if err != nil {
t.Fatal(err)
}
// Simple CPU scenario
gpus := []gpu.GpuInfo{

View file

@ -60,7 +60,12 @@ type llmServer struct {
sem *semaphore.Weighted
}
func LoadModel(model string) (*GGML, error) {
// LoadModel will load a model from disk. The model must be in the GGML format.
//
// It collects array values for arrays with a size less than or equal to
// maxArraySize. If maxArraySize is 0, the default value of 1024 is used. If
// the maxArraySize is negative, all arrays are collected.
func LoadModel(model string, maxArraySize int) (*GGML, error) {
if _, err := os.Stat(model); err != nil {
return nil, err
}
@ -71,7 +76,7 @@ func LoadModel(model string) (*GGML, error) {
}
defer f.Close()
ggml, _, err := DecodeGGML(f)
ggml, _, err := DecodeGGML(f, maxArraySize)
return ggml, err
}
@ -412,7 +417,7 @@ func projectorMemoryRequirements(filename string) uint64 {
}
defer file.Close()
ggml, _, err := DecodeGGML(file)
ggml, _, err := DecodeGGML(file, 0)
if err != nil {
return 0
}

View file

@ -423,7 +423,7 @@ func CreateModel(ctx context.Context, name model.Name, modelFileDir, quantizatio
return err
}
ggml, _, err := llm.DecodeGGML(temp)
ggml, _, err := llm.DecodeGGML(temp, 0)
if err != nil {
return err
}

View file

@ -63,7 +63,7 @@ func parseFromModel(ctx context.Context, name model.Name, fn func(api.ProgressRe
}
defer blob.Close()
ggml, _, err := llm.DecodeGGML(blob)
ggml, _, err := llm.DecodeGGML(blob, 0)
if err != nil {
return nil, err
}
@ -176,7 +176,7 @@ func parseFromZipFile(_ context.Context, file *os.File, digest string, fn func(a
}
defer bin.Close()
ggml, _, err := llm.DecodeGGML(bin)
ggml, _, err := llm.DecodeGGML(bin, 0)
if err != nil {
return nil, err
}
@ -210,7 +210,7 @@ func parseFromFile(ctx context.Context, file *os.File, digest string, fn func(ap
var offset int64
for offset < stat.Size() {
ggml, n, err := llm.DecodeGGML(file)
ggml, n, err := llm.DecodeGGML(file, 0)
if errors.Is(err, io.EOF) {
break
} else if err != nil {

View file

@ -754,7 +754,11 @@ func GetModelInfo(req api.ShowRequest) (*api.ShowResponse, error) {
}
func getKVData(digest string, verbose bool) (llm.KV, error) {
kvData, err := llm.LoadModel(digest)
maxArraySize := 0
if verbose {
maxArraySize = -1
}
kvData, err := llm.LoadModel(digest, maxArraySize)
if err != nil {
return nil, err
}
@ -1101,11 +1105,20 @@ func Serve(ln net.Listener) error {
schedCtx, schedDone := context.WithCancel(ctx)
sched := InitScheduler(schedCtx)
s := &Server{addr: ln.Addr(), sched: sched}
r := s.GenerateRoutes()
http.Handle("/", s.GenerateRoutes())
slog.Info(fmt.Sprintf("Listening on %s (version %s)", ln.Addr(), version.Version))
srvr := &http.Server{
Handler: r,
// Use http.DefaultServeMux so we get net/http/pprof for
// free.
//
// TODO(bmizerany): Decide if we want to make this
// configurable so it is not exposed by default, or allow
// users to bind it to a different port. This was a quick
// and easy way to get pprof, but it may not be the best
// way.
Handler: nil,
}
// listen for a ctrl+c and stop any loaded llm

View file

@ -144,7 +144,7 @@ func (s *Scheduler) processPending(ctx context.Context) {
}
// Load model for fitting
ggml, err := llm.LoadModel(pending.model.ModelPath)
ggml, err := llm.LoadModel(pending.model.ModelPath, 0)
if err != nil {
pending.errCh <- err
break

View file

@ -128,14 +128,14 @@ func newScenario(t *testing.T, ctx context.Context, modelName string, estimatedV
"tokenizer.ggml.scores": []float32{0},
"tokenizer.ggml.token_type": []int32{0},
}, []llm.Tensor{
{Name: "blk.0.attn.weight", Kind: uint32(0), Offset: uint64(0), Shape: []uint64{1, 1, 1, 1}, WriterTo: &bytes.Reader{}},
{Name: "output.weight", Kind: uint32(0), Offset: uint64(0), Shape: []uint64{1, 1, 1, 1}, WriterTo: &bytes.Reader{}},
{Name: "blk.0.attn.weight", Kind: uint32(0), Offset: uint64(0), Shape: []uint64{1, 1, 1, 1}, WriterTo: bytes.NewReader(make([]byte, 32))},
{Name: "output.weight", Kind: uint32(0), Offset: uint64(0), Shape: []uint64{1, 1, 1, 1}, WriterTo: bytes.NewReader(make([]byte, 32))},
})
require.NoError(t, err)
fname := f.Name()
model := &Model{Name: modelName, ModelPath: fname}
scenario.ggml, err = llm.LoadModel(model.ModelPath)
scenario.ggml, err = llm.LoadModel(model.ModelPath, 0)
require.NoError(t, err)
scenario.req = &LlmRequest{

View file

@ -0,0 +1,34 @@
package bufioutil
import (
"bufio"
"io"
)
type BufferedSeeker struct {
rs io.ReadSeeker
br *bufio.Reader
}
func NewBufferedSeeker(rs io.ReadSeeker, size int) *BufferedSeeker {
return &BufferedSeeker{
rs: rs,
br: bufio.NewReaderSize(rs, size),
}
}
func (b *BufferedSeeker) Read(p []byte) (int, error) {
return b.br.Read(p)
}
func (b *BufferedSeeker) Seek(offset int64, whence int) (int64, error) {
if whence == io.SeekCurrent {
offset -= int64(b.br.Buffered())
}
n, err := b.rs.Seek(offset, whence)
if err != nil {
return 0, err
}
b.br.Reset(b.rs)
return n, nil
}

View file

@ -0,0 +1,64 @@
package bufioutil
import (
"bytes"
"io"
"strings"
"testing"
)
func TestBufferedSeeker(t *testing.T) {
const alphabet = "abcdefghijklmnopqrstuvwxyz"
bs := NewBufferedSeeker(strings.NewReader(alphabet), 0) // minReadBufferSize = 16
checkRead := func(buf []byte, expected string) {
t.Helper()
_, err := bs.Read(buf)
if err != nil {
t.Fatal(err)
}
if !bytes.Equal(buf, []byte(expected)) {
t.Fatalf("expected %s, got %s", expected, buf)
}
}
// Read the first 5 bytes
buf := make([]byte, 5)
checkRead(buf, "abcde")
// Seek back to the beginning
_, err := bs.Seek(0, io.SeekStart)
if err != nil {
t.Fatal(err)
}
// read 'a'
checkRead(buf[:1], "a")
if bs.br.Buffered() == 0 {
t.Fatalf("totally unexpected sanity check failed")
}
// Seek past 'b'
_, err = bs.Seek(1, io.SeekCurrent)
if err != nil {
t.Fatal(err)
}
checkRead(buf, "cdefg")
// Seek back to the beginning
_, err = bs.Seek(0, io.SeekStart)
if err != nil {
t.Fatal(err)
}
checkRead(buf, "abcde")
// Seek to the end
_, err = bs.Seek(-5, io.SeekEnd)
if err != nil {
t.Fatal(err)
}
checkRead(buf, "vwxyz")
}