mirror of
https://github.com/ollama/ollama.git
synced 2026-05-07 08:30:05 -05:00
87288ced4f
* mlx: add laguna model support * convert: support fp8 safetensors import Decode HF F8_E4M3 safetensors with block scale companions into GGUF-supported tensor types, and record which output tensors came from FP8 source weights. Use that source-precision metadata during create quantization: default FP8-sourced GGUFs to Q8_0, keep non-FP8 tensors at their original precision for Q8_0, and promote non-FP8 quantizable tensors to Q8_0 for Q4_K requests. * ggml: add laguna model support * server: preserve generate logprobs with builtin parsers Generate requests were dropping logprob-only chunks whenever a builtin parser buffered visible content. Chat already handled this case, but generate only forwarded chunks with visible response, thinking, or tool-call output. Keep generate chunks that carry logprobs even when the builtin parser has not flushed visible content yet, and add a regression test that exercises the behavior with a generic thinking parser. * review comments - perf improvements * ggml: implement nemotron 3 nano omni * add poolside integration * update poolside doc * adapt to new cache setup * fix test * fix test --------- Co-authored-by: Eva Ho <hoyyeva@gmail.com>
524 lines
14 KiB
Go
524 lines
14 KiB
Go
package convert
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import (
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"bytes"
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"encoding/binary"
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"fmt"
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"os"
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"path/filepath"
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"strings"
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"testing"
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"github.com/d4l3k/go-bfloat16"
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"github.com/google/go-cmp/cmp"
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"github.com/x448/float16"
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)
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func TestSafetensors(t *testing.T) {
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t.Parallel()
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root, err := os.OpenRoot(t.TempDir())
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if err != nil {
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t.Fatal(err)
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}
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defer root.Close()
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cases := []struct {
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name,
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dtype string
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offset,
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size int64
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shape []uint64
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setup func(*testing.T, *os.File)
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want []byte
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}{
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{
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name: "fp32-fp32",
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dtype: "F32",
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size: 32 * 4, // 32 floats, each 4 bytes
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shape: []uint64{32},
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setup: func(t *testing.T, f *os.File) {
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f32s := make([]float32, 32)
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for i := range f32s {
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f32s[i] = float32(i)
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}
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if err := binary.Write(f, binary.LittleEndian, f32s); err != nil {
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t.Fatal(err)
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}
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},
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want: []byte{
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0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x80, 0x3f, 0x00, 0x00, 0x00, 0x40, 0x00, 0x00, 0x40, 0x40,
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0x00, 0x00, 0x80, 0x40, 0x00, 0x00, 0xa0, 0x40, 0x00, 0x00, 0xc0, 0x40, 0x00, 0x00, 0xe0, 0x40,
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0x00, 0x00, 0x00, 0x41, 0x00, 0x00, 0x10, 0x41, 0x00, 0x00, 0x20, 0x41, 0x00, 0x00, 0x30, 0x41,
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0x00, 0x00, 0x40, 0x41, 0x00, 0x00, 0x50, 0x41, 0x00, 0x00, 0x60, 0x41, 0x00, 0x00, 0x70, 0x41,
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0x00, 0x00, 0x80, 0x41, 0x00, 0x00, 0x88, 0x41, 0x00, 0x00, 0x90, 0x41, 0x00, 0x00, 0x98, 0x41,
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0x00, 0x00, 0xa0, 0x41, 0x00, 0x00, 0xa8, 0x41, 0x00, 0x00, 0xb0, 0x41, 0x00, 0x00, 0xb8, 0x41,
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0x00, 0x00, 0xc0, 0x41, 0x00, 0x00, 0xc8, 0x41, 0x00, 0x00, 0xd0, 0x41, 0x00, 0x00, 0xd8, 0x41,
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0x00, 0x00, 0xe0, 0x41, 0x00, 0x00, 0xe8, 0x41, 0x00, 0x00, 0xf0, 0x41, 0x00, 0x00, 0xf8, 0x41,
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},
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},
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{
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name: "fp32-fp16",
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dtype: "F32",
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size: 32 * 4, // 32 floats, each 4 bytes
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shape: []uint64{16, 2},
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setup: func(t *testing.T, f *os.File) {
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f32s := make([]float32, 32)
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for i := range f32s {
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f32s[i] = float32(i)
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}
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if err := binary.Write(f, binary.LittleEndian, f32s); err != nil {
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t.Fatal(err)
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}
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},
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want: []byte{
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0x00, 0x00, 0x00, 0x3c, 0x00, 0x40, 0x00, 0x42, 0x00, 0x44, 0x00, 0x45, 0x00, 0x46, 0x00, 0x47,
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0x00, 0x48, 0x80, 0x48, 0x00, 0x49, 0x80, 0x49, 0x00, 0x4a, 0x80, 0x4a, 0x00, 0x4b, 0x80, 0x4b,
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0x00, 0x4c, 0x40, 0x4c, 0x80, 0x4c, 0xc0, 0x4c, 0x00, 0x4d, 0x40, 0x4d, 0x80, 0x4d, 0xc0, 0x4d,
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0x00, 0x4e, 0x40, 0x4e, 0x80, 0x4e, 0xc0, 0x4e, 0x00, 0x4f, 0x40, 0x4f, 0x80, 0x4f, 0xc0, 0x4f,
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},
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},
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{
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name: "fp16-fp16",
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dtype: "F16",
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size: 32 * 2, // 32 floats, each 2 bytes
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shape: []uint64{16, 2},
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setup: func(t *testing.T, f *os.File) {
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u16s := make([]uint16, 32)
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for i := range u16s {
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u16s[i] = float16.Fromfloat32(float32(i)).Bits()
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}
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if err := binary.Write(f, binary.LittleEndian, u16s); err != nil {
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t.Fatal(err)
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}
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},
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want: []byte{
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0x00, 0x00, 0x00, 0x3c, 0x00, 0x40, 0x00, 0x42, 0x00, 0x44, 0x00, 0x45, 0x00, 0x46, 0x00, 0x47,
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0x00, 0x48, 0x80, 0x48, 0x00, 0x49, 0x80, 0x49, 0x00, 0x4a, 0x80, 0x4a, 0x00, 0x4b, 0x80, 0x4b,
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0x00, 0x4c, 0x40, 0x4c, 0x80, 0x4c, 0xc0, 0x4c, 0x00, 0x4d, 0x40, 0x4d, 0x80, 0x4d, 0xc0, 0x4d,
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0x00, 0x4e, 0x40, 0x4e, 0x80, 0x4e, 0xc0, 0x4e, 0x00, 0x4f, 0x40, 0x4f, 0x80, 0x4f, 0xc0, 0x4f,
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},
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},
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{
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name: "fp16-fp32",
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dtype: "F16",
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size: 32 * 2, // 32 floats, each 2 bytes
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shape: []uint64{32},
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setup: func(t *testing.T, f *os.File) {
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u16s := make([]uint16, 32)
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for i := range u16s {
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u16s[i] = float16.Fromfloat32(float32(i)).Bits()
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}
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if err := binary.Write(f, binary.LittleEndian, u16s); err != nil {
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t.Fatal(err)
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}
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},
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want: []byte{
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0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x80, 0x3f, 0x00, 0x00, 0x00, 0x40, 0x00, 0x00, 0x40, 0x40,
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0x00, 0x00, 0x80, 0x40, 0x00, 0x00, 0xa0, 0x40, 0x00, 0x00, 0xc0, 0x40, 0x00, 0x00, 0xe0, 0x40,
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0x00, 0x00, 0x00, 0x41, 0x00, 0x00, 0x10, 0x41, 0x00, 0x00, 0x20, 0x41, 0x00, 0x00, 0x30, 0x41,
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0x00, 0x00, 0x40, 0x41, 0x00, 0x00, 0x50, 0x41, 0x00, 0x00, 0x60, 0x41, 0x00, 0x00, 0x70, 0x41,
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0x00, 0x00, 0x80, 0x41, 0x00, 0x00, 0x88, 0x41, 0x00, 0x00, 0x90, 0x41, 0x00, 0x00, 0x98, 0x41,
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0x00, 0x00, 0xa0, 0x41, 0x00, 0x00, 0xa8, 0x41, 0x00, 0x00, 0xb0, 0x41, 0x00, 0x00, 0xb8, 0x41,
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0x00, 0x00, 0xc0, 0x41, 0x00, 0x00, 0xc8, 0x41, 0x00, 0x00, 0xd0, 0x41, 0x00, 0x00, 0xd8, 0x41,
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0x00, 0x00, 0xe0, 0x41, 0x00, 0x00, 0xe8, 0x41, 0x00, 0x00, 0xf0, 0x41, 0x00, 0x00, 0xf8, 0x41,
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},
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},
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{
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name: "bf16-bf16",
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dtype: "BF16",
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size: 32 * 2, // 32 brain floats, each 2 bytes
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shape: []uint64{16, 2},
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setup: func(t *testing.T, f *os.File) {
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f32s := make([]float32, 32)
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for i := range f32s {
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f32s[i] = float32(i)
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}
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if err := binary.Write(f, binary.LittleEndian, bfloat16.EncodeFloat32(f32s)); err != nil {
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t.Fatal(err)
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}
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},
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want: []byte{
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0x00, 0x00, 0x80, 0x3f, 0x00, 0x40, 0x40, 0x40, 0x80, 0x40, 0xa0, 0x40, 0xc0, 0x40, 0xe0, 0x40,
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0x00, 0x41, 0x10, 0x41, 0x20, 0x41, 0x30, 0x41, 0x40, 0x41, 0x50, 0x41, 0x60, 0x41, 0x70, 0x41,
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0x80, 0x41, 0x88, 0x41, 0x90, 0x41, 0x98, 0x41, 0xa0, 0x41, 0xa8, 0x41, 0xb0, 0x41, 0xb8, 0x41,
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0xc0, 0x41, 0xc8, 0x41, 0xd0, 0x41, 0xd8, 0x41, 0xe0, 0x41, 0xe8, 0x41, 0xf0, 0x41, 0xf8, 0x41,
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},
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},
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{
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name: "bf16-fp32",
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dtype: "BF16",
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size: 32 * 2, // 32 brain floats, each 2 bytes
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shape: []uint64{32},
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setup: func(t *testing.T, f *os.File) {
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f32s := make([]float32, 32)
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for i := range f32s {
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f32s[i] = float32(i)
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}
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if err := binary.Write(f, binary.LittleEndian, bfloat16.EncodeFloat32(f32s)); err != nil {
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t.Fatal(err)
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}
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},
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want: []byte{
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0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x80, 0x3f, 0x00, 0x00, 0x00, 0x40, 0x00, 0x00, 0x40, 0x40,
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0x00, 0x00, 0x80, 0x40, 0x00, 0x00, 0xa0, 0x40, 0x00, 0x00, 0xc0, 0x40, 0x00, 0x00, 0xe0, 0x40,
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0x00, 0x00, 0x00, 0x41, 0x00, 0x00, 0x10, 0x41, 0x00, 0x00, 0x20, 0x41, 0x00, 0x00, 0x30, 0x41,
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0x00, 0x00, 0x40, 0x41, 0x00, 0x00, 0x50, 0x41, 0x00, 0x00, 0x60, 0x41, 0x00, 0x00, 0x70, 0x41,
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0x00, 0x00, 0x80, 0x41, 0x00, 0x00, 0x88, 0x41, 0x00, 0x00, 0x90, 0x41, 0x00, 0x00, 0x98, 0x41,
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0x00, 0x00, 0xa0, 0x41, 0x00, 0x00, 0xa8, 0x41, 0x00, 0x00, 0xb0, 0x41, 0x00, 0x00, 0xb8, 0x41,
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0x00, 0x00, 0xc0, 0x41, 0x00, 0x00, 0xc8, 0x41, 0x00, 0x00, 0xd0, 0x41, 0x00, 0x00, 0xd8, 0x41,
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0x00, 0x00, 0xe0, 0x41, 0x00, 0x00, 0xe8, 0x41, 0x00, 0x00, 0xf0, 0x41, 0x00, 0x00, 0xf8, 0x41,
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},
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},
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{
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name: "u8-u8",
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dtype: "U8",
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size: 32, // 32 brain floats, each 1 bytes
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shape: []uint64{32},
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setup: func(t *testing.T, f *os.File) {
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u8s := make([]uint8, 32)
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for i := range u8s {
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u8s[i] = uint8(i)
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}
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if err := binary.Write(f, binary.LittleEndian, u8s); err != nil {
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t.Fatal(err)
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}
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},
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want: []byte{
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0x00, 0x01, 0x02, 0x03, 0x04, 0x05, 0x06, 0x07, 0x08, 0x09, 0x0a, 0x0b, 0x0c, 0x0d, 0x0e, 0x0f,
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0x10, 0x11, 0x12, 0x13, 0x14, 0x15, 0x16, 0x17, 0x18, 0x19, 0x1a, 0x1b, 0x1c, 0x1d, 0x1e, 0x1f,
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},
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},
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}
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for _, tt := range cases {
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t.Run(tt.name, func(t *testing.T) {
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path := filepath.Base(t.Name())
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st := safetensor{
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fs: root.FS(),
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path: path,
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dtype: tt.dtype,
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offset: tt.offset,
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size: tt.size,
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tensorBase: &tensorBase{
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name: tt.name,
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shape: tt.shape,
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},
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}
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f, err := root.Create(path)
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if err != nil {
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t.Fatal(err)
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}
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defer f.Close()
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tt.setup(t, f)
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var b bytes.Buffer
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if _, err := st.WriteTo(&b); err != nil {
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t.Fatal(err)
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}
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if diff := cmp.Diff(tt.want, b.Bytes()); diff != "" {
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t.Errorf("safetensor.WriteTo() mismatch (-want +got):\n%s", diff)
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}
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})
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}
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}
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func TestSafetensorWriteToFP8E4M3(t *testing.T) {
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root, err := os.OpenRoot(t.TempDir())
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if err != nil {
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t.Fatal(err)
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}
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defer root.Close()
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path := filepath.Base(t.Name())
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f, err := root.Create(path)
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if err != nil {
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t.Fatal(err)
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}
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// E4M3FN encodings for 1.0, 2.0, 0.5, and -1.0.
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if _, err := f.Write([]byte{0x38, 0x40, 0x30, 0xb8}); err != nil {
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t.Fatal(err)
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}
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if _, err := f.Write(bfloat16.EncodeFloat32([]float32{2})); err != nil {
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t.Fatal(err)
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}
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if err := f.Close(); err != nil {
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t.Fatal(err)
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}
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st := safetensor{
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fs: root.FS(),
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path: path,
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dtype: "F8_E4M3",
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offset: 0,
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size: 4,
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fp8Block: safetensorFP8BlockSize{rows: 128, cols: 128, ok: true},
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scale: &safetensorScale{
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name: "linear.weight_scale",
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dtype: "BF16",
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shape: []uint64{1, 1},
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offset: 4,
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size: 2,
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},
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tensorBase: &tensorBase{
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name: "linear.weight",
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shape: []uint64{2, 2},
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},
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}
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var b bytes.Buffer
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if _, err := st.WriteTo(&b); err != nil {
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t.Fatal(err)
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}
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want := bfloat16.EncodeFloat32([]float32{2, 4, 1, -2})
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if diff := cmp.Diff(want, b.Bytes()); diff != "" {
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t.Errorf("safetensor.WriteTo() mismatch (-want +got):\n%s", diff)
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}
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}
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func TestSafetensorWriteToFP8E4M3UsesConfiguredBlockSize(t *testing.T) {
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root, err := os.OpenRoot(t.TempDir())
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if err != nil {
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t.Fatal(err)
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}
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defer root.Close()
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path := filepath.Base(t.Name())
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f, err := root.Create(path)
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if err != nil {
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t.Fatal(err)
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}
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if _, err := f.Write(bytes.Repeat([]byte{0x38}, 12)); err != nil {
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t.Fatal(err)
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}
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if _, err := f.Write(bfloat16.EncodeFloat32([]float32{1, 2, 3, 4})); err != nil {
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t.Fatal(err)
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}
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if err := f.Close(); err != nil {
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t.Fatal(err)
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}
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st := safetensor{
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fs: root.FS(),
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path: path,
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dtype: "F8_E4M3",
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offset: 0,
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size: 12,
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fp8Block: safetensorFP8BlockSize{rows: 2, cols: 3, ok: true},
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scale: &safetensorScale{
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name: "linear.weight_scale",
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dtype: "BF16",
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shape: []uint64{2, 2},
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offset: 12,
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size: 8,
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},
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tensorBase: &tensorBase{
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name: "linear.weight",
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shape: []uint64{3, 4},
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},
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}
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var b bytes.Buffer
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if _, err := st.WriteTo(&b); err != nil {
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t.Fatal(err)
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}
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want := bfloat16.EncodeFloat32([]float32{
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1, 1, 1, 2,
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1, 1, 1, 2,
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3, 3, 3, 4,
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})
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if diff := cmp.Diff(want, b.Bytes()); diff != "" {
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t.Errorf("safetensor.WriteTo() mismatch (-want +got):\n%s", diff)
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}
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}
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func TestParseSafetensorsConsumesFP8ScaleCompanion(t *testing.T) {
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tempDir := t.TempDir()
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generateSafetensorTestData(t, tempDir, map[string]*tensorData{
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"linear.weight": {
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Offsets: []int{0, 4},
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Type: "F8_E4M3",
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Shape: []int{2, 2},
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},
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"linear.weight_scale": {
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Offsets: []int{4, 6},
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Type: "BF16",
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Shape: []int{1, 1},
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},
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})
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writeFP8BlockConfig(t, tempDir, 128, 128)
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tensors, err := parseSafetensors(os.DirFS(tempDir), strings.NewReplacer(), "model-00001-of-00001.safetensors")
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if err != nil {
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t.Fatal(err)
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}
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if len(tensors) != 1 {
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t.Fatalf("expected one tensor, got %d", len(tensors))
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}
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if got := tensors[0].Name(); got != "linear.weight" {
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t.Fatalf("unexpected tensor name %q", got)
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}
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if got := tensors[0].Kind(); got != tensorKindBF16 {
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t.Fatalf("unexpected fp8 converted kind %d, want %d", got, tensorKindBF16)
|
|
}
|
|
}
|
|
|
|
func TestParseSafetensorsRejectsFP8WithoutBlockMetadata(t *testing.T) {
|
|
tempDir := t.TempDir()
|
|
generateSafetensorTestData(t, tempDir, map[string]*tensorData{
|
|
"linear.weight": {
|
|
Offsets: []int{0, 4},
|
|
Type: "F8_E4M3",
|
|
Shape: []int{2, 2},
|
|
},
|
|
"linear.weight_scale": {
|
|
Offsets: []int{4, 6},
|
|
Type: "BF16",
|
|
Shape: []int{1, 1},
|
|
},
|
|
})
|
|
|
|
_, err := parseSafetensors(os.DirFS(tempDir), strings.NewReplacer(), "model-00001-of-00001.safetensors")
|
|
if err == nil || !strings.Contains(err.Error(), "missing fp8 block size metadata") {
|
|
t.Fatalf("expected missing fp8 block size metadata error, got %v", err)
|
|
}
|
|
}
|
|
|
|
func TestParseSafetensorsRejectsAmbiguousFP8ScaleCompanion(t *testing.T) {
|
|
tempDir := t.TempDir()
|
|
generateSafetensorTestData(t, tempDir, map[string]*tensorData{
|
|
"linear.weight": {
|
|
Offsets: []int{0, 4},
|
|
Type: "F8_E4M3",
|
|
Shape: []int{2, 2},
|
|
},
|
|
"linear.weight_scale": {
|
|
Offsets: []int{4, 6},
|
|
Type: "BF16",
|
|
Shape: []int{1, 1},
|
|
},
|
|
"linear.weight.scale": {
|
|
Offsets: []int{6, 8},
|
|
Type: "BF16",
|
|
Shape: []int{1, 1},
|
|
},
|
|
})
|
|
writeFP8BlockConfig(t, tempDir, 128, 128)
|
|
|
|
_, err := parseSafetensors(os.DirFS(tempDir), strings.NewReplacer(), "model-00001-of-00001.safetensors")
|
|
if err == nil || !strings.Contains(err.Error(), "multiple fp8 scale companions") {
|
|
t.Fatalf("expected ambiguous fp8 scale companion error, got %v", err)
|
|
}
|
|
}
|
|
|
|
func writeFP8BlockConfig(t *testing.T, dir string, rows, cols int) {
|
|
t.Helper()
|
|
|
|
config := fmt.Sprintf(`{
|
|
"architectures": ["GenericForCausalLM"],
|
|
"compression_config": {
|
|
"format": "float-quantized",
|
|
"config_groups": {
|
|
"group_0": {
|
|
"format": "float-quantized",
|
|
"weights": {
|
|
"type": "float",
|
|
"num_bits": 8,
|
|
"block_structure": [%d, %d]
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}`, rows, cols)
|
|
if err := os.WriteFile(filepath.Join(dir, "config.json"), []byte(config), 0o644); err != nil {
|
|
t.Fatal(err)
|
|
}
|
|
}
|
|
|
|
func TestSafetensorKind(t *testing.T) {
|
|
tests := []struct {
|
|
name string
|
|
st safetensor
|
|
expected uint32
|
|
}{
|
|
{
|
|
name: "BF16 dtype with non-v. prefix and non-FP32 base kind should return BF16",
|
|
st: safetensor{
|
|
tensorBase: &tensorBase{
|
|
name: "weight.matrix",
|
|
shape: []uint64{10, 10}, // will default to FP16
|
|
},
|
|
dtype: "BF16",
|
|
},
|
|
expected: tensorKindBF16,
|
|
},
|
|
{
|
|
name: "BF16 dtype with v. prefix should return base kind",
|
|
st: safetensor{
|
|
tensorBase: &tensorBase{
|
|
name: "v.weight.matrix",
|
|
shape: []uint64{10, 10}, // will default to FP16
|
|
},
|
|
dtype: "BF16",
|
|
},
|
|
expected: tensorKindFP16,
|
|
},
|
|
{
|
|
name: "BF16 audio feature extractor constants should return FP32",
|
|
st: safetensor{
|
|
tensorBase: &tensorBase{
|
|
name: "a.feature_extractor.fb",
|
|
shape: []uint64{1, 128, 257},
|
|
},
|
|
dtype: "BF16",
|
|
},
|
|
expected: tensorKindFP32,
|
|
},
|
|
{
|
|
name: "BF16 dtype with FP32 base kind should return FP32",
|
|
st: safetensor{
|
|
tensorBase: &tensorBase{
|
|
name: "weight.matrix",
|
|
shape: []uint64{10}, // will default to FP32
|
|
},
|
|
dtype: "BF16",
|
|
},
|
|
expected: tensorKindFP32,
|
|
},
|
|
{
|
|
name: "Non-BF16 dtype should return base kind",
|
|
st: safetensor{
|
|
tensorBase: &tensorBase{
|
|
name: "weight.matrix",
|
|
shape: []uint64{10, 10}, // will default to FP16
|
|
},
|
|
dtype: "FP16",
|
|
},
|
|
expected: tensorKindFP16,
|
|
},
|
|
}
|
|
|
|
for _, tt := range tests {
|
|
t.Run(tt.name, func(t *testing.T) {
|
|
result := tt.st.Kind()
|
|
if result != tt.expected {
|
|
t.Errorf("Kind() = %d, expected %d", result, tt.expected)
|
|
}
|
|
})
|
|
}
|
|
}
|