ollama source for Momentry Core verification
This commit is contained in:
613
convert/reader_safetensors.go
Normal file
613
convert/reader_safetensors.go
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@@ -0,0 +1,613 @@
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package convert
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import (
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"bufio"
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"bytes"
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"encoding/binary"
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"encoding/json"
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"errors"
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"fmt"
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"io"
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"io/fs"
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"maps"
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"math"
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"slices"
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"strings"
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"github.com/d4l3k/go-bfloat16"
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"github.com/x448/float16"
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)
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type safetensorMetadata struct {
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Type string `json:"dtype"`
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Shape []uint64 `json:"shape"`
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Offsets []int64 `json:"data_offsets"`
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}
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func parseSafetensors(fsys fs.FS, replacer *strings.Replacer, ps ...string) ([]Tensor, error) {
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fp8Block, err := safetensorsFP8BlockSize(fsys)
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if err != nil {
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return nil, err
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}
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var ts []Tensor
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for _, p := range ps {
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f, err := fsys.Open(p)
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if err != nil {
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return nil, err
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}
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defer f.Close()
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var n int64
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if err := binary.Read(f, binary.LittleEndian, &n); err != nil {
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return nil, err
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}
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b := bytes.NewBuffer(make([]byte, 0, n))
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if _, err = io.CopyN(b, f, n); err != nil {
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return nil, err
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}
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var headers map[string]safetensorMetadata
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if err := json.NewDecoder(b).Decode(&headers); err != nil {
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return nil, err
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}
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keys := slices.Sorted(maps.Keys(headers))
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names := make(map[string]struct{}, len(keys))
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fp8Scales, err := collectSafetensorsFP8Scales(n, headers)
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if err != nil {
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return nil, err
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}
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for _, key := range keys {
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if value := headers[key]; value.Type != "" {
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if _, ok := fp8Scales.consumed[key]; ok {
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continue
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}
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// Scalar tensors (e.g. clipped linear min/max) are 0-dim in safetensors.
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// Promote them to 1-dim so they can be stored in GGUF.
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if len(value.Shape) == 0 {
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value.Shape = []uint64{1}
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}
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var scale *safetensorScale
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if value.Type == "F8_E4M3" {
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if !fp8Block.ok {
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return nil, fmt.Errorf("missing fp8 block size metadata for tensor %q", key)
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}
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scale = fp8Scales.byWeight[key]
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if scale == nil {
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return nil, fmt.Errorf("missing fp8 scale companion for tensor %q", key)
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}
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}
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ggufName := replacer.Replace(key)
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if _, ok := names[ggufName]; ok {
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return nil, fmt.Errorf("duplicate tensor name '%s' was found for this model", ggufName)
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}
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names[ggufName] = struct{}{}
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ts = append(ts, safetensor{
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fs: fsys,
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path: p,
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dtype: value.Type,
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offset: safetensorsPad(n, value.Offsets[0]),
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size: safetensorsPad(n, value.Offsets[1]) - safetensorsPad(n, value.Offsets[0]),
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scale: scale,
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fp8Block: fp8Block,
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tensorBase: &tensorBase{
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name: ggufName,
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shape: value.Shape,
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},
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})
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}
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}
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}
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return ts, nil
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}
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// safetensorsPad returns the padded size of the safetensors file given a length n and offset s
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func safetensorsPad(n, offset int64) int64 {
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return 8 + n + offset
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}
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type safetensorScale struct {
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name string
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dtype string
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shape []uint64
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offset int64
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size int64
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}
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type safetensor struct {
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fs fs.FS
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path string
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dtype string
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offset int64
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size int64
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scale *safetensorScale
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fp8Block safetensorFP8BlockSize
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*tensorBase
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}
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func (st safetensor) Kind() uint32 {
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kind := st.tensorBase.Kind()
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if st.dtype == "BF16" &&
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!strings.HasPrefix(st.name, "v.") &&
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!strings.HasPrefix(st.name, "s.") &&
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!strings.HasPrefix(st.name, "mm.") &&
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!strings.Contains(st.name, "ffn_gate_inp_shexp.weight") &&
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kind != tensorKindFP32 {
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kind = tensorKindBF16
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}
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if st.dtype == "F8_E4M3" && kind != tensorKindFP32 {
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kind = tensorKindBF16
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}
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return kind
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}
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func (st safetensor) SourceDType() string {
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return st.dtype
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}
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func (st safetensor) Clone() Tensor {
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return &safetensor{
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fs: st.fs,
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path: st.path,
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dtype: st.dtype,
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offset: st.offset,
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size: st.size,
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scale: st.scale.Clone(),
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fp8Block: st.fp8Block,
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tensorBase: &tensorBase{
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name: st.name,
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repacker: st.repacker,
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shape: slices.Clone(st.shape),
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},
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}
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}
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func (ss *safetensorScale) Clone() *safetensorScale {
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if ss == nil {
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return nil
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}
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return &safetensorScale{
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name: ss.name,
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dtype: ss.dtype,
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shape: slices.Clone(ss.shape),
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offset: ss.offset,
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size: ss.size,
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}
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}
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func (st safetensor) WriteTo(w io.Writer) (int64, error) {
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f, err := st.fs.Open(st.path)
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if err != nil {
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return 0, err
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}
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defer f.Close()
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r, err := func() (io.Reader, error) {
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if readerAt, ok := f.(io.ReaderAt); ok {
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return io.NewSectionReader(readerAt, st.offset, st.size), nil
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} else if seeker, ok := f.(io.Seeker); ok {
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_, err := seeker.Seek(st.offset, io.SeekStart)
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return f, err
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} else {
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_, err := io.CopyN(io.Discard, f, st.offset)
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return f, err
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}
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}()
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if err != nil {
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return 0, err
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}
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br := bufio.NewReaderSize(r, min(32<<10, int(st.size)))
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// special case when input and output are same type and the
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// tensor doesn't need repacking
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if (st.repacker == nil) &&
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((st.dtype == "F32" && st.Kind() == tensorKindFP32) ||
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(st.dtype == "F16" && st.Kind() == tensorKindFP16) ||
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(st.dtype == "U8")) {
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return io.CopyN(w, br, st.size)
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}
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var f32s []float32
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switch st.dtype {
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case "F32":
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f32s = make([]float32, st.size/4)
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if err = binary.Read(br, binary.LittleEndian, f32s); err != nil {
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return 0, err
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}
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case "F16":
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u16s := make([]uint16, st.size/2)
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if err = binary.Read(br, binary.LittleEndian, u16s); err != nil {
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return 0, err
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}
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f32s = make([]float32, len(u16s))
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for i := range u16s {
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f32s[i] = float16.Frombits(u16s[i]).Float32()
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}
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case "BF16":
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u8s := make([]uint8, st.size)
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if err = binary.Read(br, binary.LittleEndian, u8s); err != nil {
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return 0, err
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}
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f32s = bfloat16.DecodeFloat32(u8s)
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case "F8_E4M3":
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u8s := make([]uint8, st.size)
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if err = binary.Read(br, binary.LittleEndian, u8s); err != nil {
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return 0, err
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}
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f32s, err = st.decodeFP8E4M3(u8s)
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if err != nil {
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return 0, err
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}
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default:
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return 0, fmt.Errorf("unknown data type: %s", st.dtype)
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}
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if st.repacker != nil {
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f32s, err = st.repacker(st.Name(), f32s, st.Shape())
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if err != nil {
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return 0, err
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}
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}
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switch st.Kind() {
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case tensorKindFP32:
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return int64(len(f32s) * 4), binary.Write(w, binary.LittleEndian, f32s)
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case tensorKindFP16:
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f16s := make([]uint16, len(f32s))
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for i := range f32s {
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f16s[i] = float16.Fromfloat32(f32s[i]).Bits()
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}
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return int64(len(f16s) * 2), binary.Write(w, binary.LittleEndian, f16s)
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case tensorKindBF16:
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u8s := bfloat16.EncodeFloat32(f32s)
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return int64(len(u8s)), binary.Write(w, binary.LittleEndian, u8s)
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default:
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return 0, fmt.Errorf("unknown storage type: %d", st.Kind())
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}
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}
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type safetensorsFP8Scales struct {
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byWeight map[string]*safetensorScale
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consumed map[string]struct{}
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}
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func collectSafetensorsFP8Scales(n int64, headers map[string]safetensorMetadata) (safetensorsFP8Scales, error) {
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scales := safetensorsFP8Scales{
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byWeight: make(map[string]*safetensorScale),
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consumed: make(map[string]struct{}),
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}
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for key, value := range headers {
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if value.Type != "F8_E4M3" {
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continue
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}
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scaleKey, scaleValue, ok, err := safetensorsFP8Scale(key, headers)
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if err != nil {
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return safetensorsFP8Scales{}, err
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}
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if !ok {
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continue
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}
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if _, ok := scales.consumed[scaleKey]; ok {
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return safetensorsFP8Scales{}, fmt.Errorf("fp8 scale companion %q is used by multiple tensors", scaleKey)
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}
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scales.byWeight[key] = &safetensorScale{
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name: scaleKey,
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dtype: scaleValue.Type,
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shape: slices.Clone(scaleValue.Shape),
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offset: safetensorsPad(n, scaleValue.Offsets[0]),
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size: safetensorsPad(n, scaleValue.Offsets[1]) - safetensorsPad(n, scaleValue.Offsets[0]),
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}
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scales.consumed[scaleKey] = struct{}{}
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}
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return scales, nil
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}
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func safetensorsFP8Scale(key string, headers map[string]safetensorMetadata) (string, safetensorMetadata, bool, error) {
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candidates := safetensorsFP8ScaleCandidates(key)
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var scaleKey string
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var scaleValue safetensorMetadata
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if strings.HasSuffix(key, ".weight") {
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// Keep support for compressed-tensors exports that place the scale name
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// between the module path and weight suffix.
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base := strings.TrimSuffix(key, ".weight")
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candidates = appendUnique(candidates, base+".weight_scale")
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candidates = appendUnique(candidates, base+".weight_scale_inv")
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}
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for _, candidate := range candidates {
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if value, ok := headers[candidate]; ok && value.Type != "" {
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if scaleKey != "" {
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return "", safetensorMetadata{}, false, fmt.Errorf("multiple fp8 scale companions for tensor %q: %q and %q", key, scaleKey, candidate)
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}
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scaleKey = candidate
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scaleValue = value
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}
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}
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if scaleKey == "" {
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return "", safetensorMetadata{}, false, nil
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}
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return scaleKey, scaleValue, true, nil
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}
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func safetensorsFP8ScaleCandidates(key string) []string {
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var candidates []string
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candidates = appendUnique(candidates, key+"_scale")
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candidates = appendUnique(candidates, key+"_scale_inv")
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candidates = appendUnique(candidates, key+".scale")
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candidates = appendUnique(candidates, key+".scale_inv")
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return candidates
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}
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func appendUnique(values []string, value string) []string {
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if !slices.Contains(values, value) {
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values = append(values, value)
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}
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return values
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}
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type safetensorFP8BlockSize struct {
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rows int
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cols int
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ok bool
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}
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type safetensorsSourceQuantization struct {
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QuantMethod string `json:"quant_method"`
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Format string `json:"format"`
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WeightBlockSize []int `json:"weight_block_size"`
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ConfigGroups map[string]struct {
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Format string `json:"format"`
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Weights struct {
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BlockStructure []int `json:"block_structure"`
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NumBits int `json:"num_bits"`
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Type string `json:"type"`
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} `json:"weights"`
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} `json:"config_groups"`
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}
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type safetensorsModelConfig struct {
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Quantization safetensorsSourceQuantization `json:"quantization"`
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QuantizationConfig safetensorsSourceQuantization `json:"quantization_config"`
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CompressionConfig safetensorsSourceQuantization `json:"compression_config"`
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TextConfig struct {
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Quantization safetensorsSourceQuantization `json:"quantization"`
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QuantizationConfig safetensorsSourceQuantization `json:"quantization_config"`
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CompressionConfig safetensorsSourceQuantization `json:"compression_config"`
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} `json:"text_config"`
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}
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func safetensorsFP8BlockSize(fsys fs.FS) (safetensorFP8BlockSize, error) {
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bts, err := fs.ReadFile(fsys, "config.json")
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if errors.Is(err, fs.ErrNotExist) {
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return safetensorFP8BlockSize{}, nil
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}
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if err != nil {
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return safetensorFP8BlockSize{}, err
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}
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bts = sanitizeNonFiniteJSON(bts)
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var cfg safetensorsModelConfig
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if err := json.Unmarshal(bts, &cfg); err != nil {
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return safetensorFP8BlockSize{}, fmt.Errorf("parse config.json fp8 metadata: %w", err)
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}
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var blocks []safetensorFP8BlockSize
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for _, q := range []safetensorsSourceQuantization{
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cfg.Quantization,
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cfg.QuantizationConfig,
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cfg.CompressionConfig,
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cfg.TextConfig.Quantization,
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cfg.TextConfig.QuantizationConfig,
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cfg.TextConfig.CompressionConfig,
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} {
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if strings.EqualFold(q.QuantMethod, "fp8") && len(q.WeightBlockSize) == 2 {
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block, err := newSafetensorFP8BlockSize(q.WeightBlockSize[0], q.WeightBlockSize[1])
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if err != nil {
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return safetensorFP8BlockSize{}, err
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}
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blocks = append(blocks, block)
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}
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if !strings.EqualFold(q.QuantMethod, "compressed-tensors") && !strings.EqualFold(q.Format, "float-quantized") {
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continue
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}
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for _, group := range q.ConfigGroups {
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if !strings.EqualFold(group.Format, "float-quantized") ||
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group.Weights.NumBits != 8 ||
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!strings.EqualFold(group.Weights.Type, "float") ||
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len(group.Weights.BlockStructure) != 2 {
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continue
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}
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block, err := newSafetensorFP8BlockSize(group.Weights.BlockStructure[0], group.Weights.BlockStructure[1])
|
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if err != nil {
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return safetensorFP8BlockSize{}, err
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}
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blocks = append(blocks, block)
|
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}
|
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}
|
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|
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if len(blocks) == 0 {
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return safetensorFP8BlockSize{}, nil
|
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}
|
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|
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block := blocks[0]
|
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for _, other := range blocks[1:] {
|
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if other.rows != block.rows || other.cols != block.cols {
|
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return safetensorFP8BlockSize{}, fmt.Errorf("multiple fp8 block sizes in config.json: %dx%d and %dx%d", block.rows, block.cols, other.rows, other.cols)
|
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}
|
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}
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return block, nil
|
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}
|
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|
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func newSafetensorFP8BlockSize(rows, cols int) (safetensorFP8BlockSize, error) {
|
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if rows <= 0 || cols <= 0 {
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return safetensorFP8BlockSize{}, fmt.Errorf("invalid fp8 block size %dx%d", rows, cols)
|
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}
|
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return safetensorFP8BlockSize{rows: rows, cols: cols, ok: true}, nil
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}
|
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|
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func (st safetensor) decodeFP8E4M3(data []byte) ([]float32, error) {
|
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if st.scale == nil {
|
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return nil, fmt.Errorf("missing fp8 scale companion for tensor %q", st.name)
|
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}
|
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if !st.fp8Block.ok {
|
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return nil, fmt.Errorf("missing fp8 block size metadata for tensor %q", st.name)
|
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}
|
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if len(st.shape) != 2 {
|
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return nil, fmt.Errorf("expected 2D fp8 tensor %q, got shape %v", st.name, st.shape)
|
||||
}
|
||||
|
||||
rows, cols := int(st.shape[0]), int(st.shape[1])
|
||||
if rows < 0 || cols < 0 || rows*cols != len(data) {
|
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return nil, fmt.Errorf("fp8 tensor %q shape %v does not match %d bytes", st.name, st.shape, len(data))
|
||||
}
|
||||
|
||||
scale, err := st.readScale()
|
||||
if err != nil {
|
||||
return nil, err
|
||||
}
|
||||
|
||||
if len(st.scale.shape) != 2 {
|
||||
return nil, fmt.Errorf("expected 2D fp8 scale tensor %q, got shape %v", st.scale.name, st.scale.shape)
|
||||
}
|
||||
|
||||
blockRows := st.fp8Block.rows
|
||||
blockCols := st.fp8Block.cols
|
||||
scaleRows, scaleCols := int(st.scale.shape[0]), int(st.scale.shape[1])
|
||||
expectedRows := (rows + blockRows - 1) / blockRows
|
||||
expectedCols := (cols + blockCols - 1) / blockCols
|
||||
if scaleRows != expectedRows || scaleCols != expectedCols {
|
||||
return nil, fmt.Errorf("unexpected fp8 scale shape %v for tensor %q shape %v; want [%d %d]", st.scale.shape, st.name, st.shape, expectedRows, expectedCols)
|
||||
}
|
||||
if len(scale) != scaleRows*scaleCols {
|
||||
return nil, fmt.Errorf("fp8 scale tensor %q shape %v does not match decoded length %d", st.scale.name, st.scale.shape, len(scale))
|
||||
}
|
||||
|
||||
f32s := make([]float32, len(data))
|
||||
for r := range rows {
|
||||
scaleRow := r / blockRows
|
||||
rowOffset := r * cols
|
||||
for c := range cols {
|
||||
f32s[rowOffset+c] = decodeFloat8E4M3FN(data[rowOffset+c]) * scale[scaleRow*scaleCols+c/blockCols]
|
||||
}
|
||||
}
|
||||
|
||||
return f32s, nil
|
||||
}
|
||||
|
||||
func (st safetensor) readScale() ([]float32, error) {
|
||||
r, err := st.sectionReader(st.scale.offset, st.scale.size)
|
||||
if err != nil {
|
||||
return nil, fmt.Errorf("failed to read fp8 scale tensor %q: %w", st.scale.name, err)
|
||||
}
|
||||
if closer, ok := r.(io.Closer); ok {
|
||||
defer closer.Close()
|
||||
}
|
||||
br := bufio.NewReaderSize(r, min(32<<10, int(st.scale.size)))
|
||||
|
||||
switch st.scale.dtype {
|
||||
case "F32":
|
||||
f32s := make([]float32, st.scale.size/4)
|
||||
if err := binary.Read(br, binary.LittleEndian, f32s); err != nil {
|
||||
return nil, err
|
||||
}
|
||||
return f32s, nil
|
||||
case "F16":
|
||||
u16s := make([]uint16, st.scale.size/2)
|
||||
if err := binary.Read(br, binary.LittleEndian, u16s); err != nil {
|
||||
return nil, err
|
||||
}
|
||||
f32s := make([]float32, len(u16s))
|
||||
for i := range u16s {
|
||||
f32s[i] = float16.Frombits(u16s[i]).Float32()
|
||||
}
|
||||
return f32s, nil
|
||||
case "BF16":
|
||||
u8s := make([]uint8, st.scale.size)
|
||||
if err := binary.Read(br, binary.LittleEndian, u8s); err != nil {
|
||||
return nil, err
|
||||
}
|
||||
return bfloat16.DecodeFloat32(u8s), nil
|
||||
default:
|
||||
return nil, fmt.Errorf("unsupported fp8 scale dtype %q for tensor %q", st.scale.dtype, st.scale.name)
|
||||
}
|
||||
}
|
||||
|
||||
func (st safetensor) sectionReader(offset, size int64) (io.Reader, error) {
|
||||
f, err := st.fs.Open(st.path)
|
||||
if err != nil {
|
||||
return nil, err
|
||||
}
|
||||
|
||||
if readerAt, ok := f.(io.ReaderAt); ok {
|
||||
return &readCloserReader{
|
||||
Reader: io.NewSectionReader(readerAt, offset, size),
|
||||
Closer: f,
|
||||
}, nil
|
||||
}
|
||||
if seeker, ok := f.(io.Seeker); ok {
|
||||
if _, err := seeker.Seek(offset, io.SeekStart); err != nil {
|
||||
f.Close()
|
||||
return nil, err
|
||||
}
|
||||
return &readCloserReader{
|
||||
Reader: io.LimitReader(f, size),
|
||||
Closer: f,
|
||||
}, nil
|
||||
}
|
||||
if _, err := io.CopyN(io.Discard, f, offset); err != nil {
|
||||
f.Close()
|
||||
return nil, err
|
||||
}
|
||||
return &readCloserReader{
|
||||
Reader: io.LimitReader(f, size),
|
||||
Closer: f,
|
||||
}, nil
|
||||
}
|
||||
|
||||
type readCloserReader struct {
|
||||
io.Reader
|
||||
io.Closer
|
||||
}
|
||||
|
||||
func decodeFloat8E4M3FN(v byte) float32 {
|
||||
sign := float32(1)
|
||||
if v&0x80 != 0 {
|
||||
sign = -1
|
||||
}
|
||||
|
||||
exp := int((v >> 3) & 0x0f)
|
||||
mant := int(v & 0x07)
|
||||
if exp == 0 {
|
||||
if mant == 0 {
|
||||
return 0 * sign
|
||||
}
|
||||
return sign * float32(math.Ldexp(float64(mant)/8, -6))
|
||||
}
|
||||
if exp == 0x0f && mant == 0x07 {
|
||||
return float32(math.NaN())
|
||||
}
|
||||
|
||||
return sign * float32(math.Ldexp(1+float64(mant)/8, exp-7))
|
||||
}
|
||||
Reference in New Issue
Block a user