ollama/llm/ext_server.go

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package llm
/*
#cgo CFLAGS: -I${SRCDIR}/llama.cpp/gguf -I${SRCDIR}/llama.cpp/gguf/common
#cgo CFLAGS: -DNDEBUG -DLLAMA_SERVER_LIBRARY=1 -D_XOPEN_SOURCE=600 -DACCELERATE_NEW_LAPACK -DACCELERATE_LAPACK_ILP64
#cgo CFLAGS: -Wmissing-noreturn -Wall -Wextra -Wcast-qual -Wno-unused-function -Wno-array-bounds
#cgo CPPFLAGS: -Ofast -Wall -Wextra -Wno-unused-function -Wno-unused-variable -Wno-deprecated-declarations -Wno-unused-but-set-variable
#cgo darwin CFLAGS: -D_DARWIN_C_SOURCE
#cgo darwin CPPFLAGS: -DGGML_USE_ACCELERATE
#cgo darwin,arm64 CPPFLAGS: -DGGML_USE_METAL -DGGML_METAL_NDEBUG
#cgo darwin LDFLAGS: -lc++ -framework Accelerate
#cgo darwin,arm64 LDFLAGS: -framework Foundation -framework Metal -framework MetalKit -framework MetalPerformanceShaders
#cgo darwin,arm64 LDFLAGS: ${SRCDIR}/llama.cpp/gguf/build/metal/common/libcommon.a
#cgo darwin,arm64 LDFLAGS: ${SRCDIR}/llama.cpp/gguf/build/metal/examples/server/libext_server.a
#cgo darwin,arm64 LDFLAGS: ${SRCDIR}/llama.cpp/gguf/build/metal/libllama.a
#cgo darwin,arm64 LDFLAGS: ${SRCDIR}/llama.cpp/gguf/build/metal/libggml_static.a
#cgo darwin,amd64 LDFLAGS: ${SRCDIR}/llama.cpp/gguf/build/cpu/common/libcommon.a
#cgo darwin,amd64 LDFLAGS: ${SRCDIR}/llama.cpp/gguf/build/cpu/examples/server/libext_server.a
#cgo darwin,amd64 LDFLAGS: ${SRCDIR}/llama.cpp/gguf/build/cpu/libllama.a
#cgo darwin,amd64 LDFLAGS: ${SRCDIR}/llama.cpp/gguf/build/cpu/libggml_static.a
#cgo linux CFLAGS: -D_GNU_SOURCE
#cgo linux windows CFLAGS: -DGGML_CUDA_DMMV_X=32 -DGGML_CUDA_MMV_Y=1 -DGGML_CUDA_PEER_MAX_BATCH_SIZE=128 -DGGML_USE_CUBLAS
#cgo linux LDFLAGS: -L/usr/local/cuda/targets/x86_64-linux/lib -L/usr/local/cuda/lib64 -L/usr/local/cuda/targets/x86_64-linux/lib/stubs
#cgo linux LDFLAGS: ${SRCDIR}/llama.cpp/gguf/build/cuda/examples/server/libext_server.a
#cgo linux LDFLAGS: ${SRCDIR}/llama.cpp/gguf/build/cuda/common/libcommon.a
#cgo linux LDFLAGS: ${SRCDIR}/llama.cpp/gguf/build/cuda/libllama.a
#cgo linux LDFLAGS: ${SRCDIR}/llama.cpp/gguf/build/cuda/libggml_static.a
#cgo linux LDFLAGS: /usr/local/cuda/lib64/libcudart_static.a
#cgo linux LDFLAGS: /usr/local/cuda/lib64/libcublas_static.a
#cgo linux LDFLAGS: /usr/local/cuda/lib64/libcublasLt_static.a
#cgo linux LDFLAGS: /usr/local/cuda/lib64/libcudadevrt.a
#cgo linux LDFLAGS: /usr/local/cuda/lib64/libculibos.a
#cgo linux LDFLAGS: -lrt -lpthread -ldl -lstdc++ -lm
#cgo windows LDFLAGS: -L${SRCDIR}/llama.cpp/gguf/build/wincuda/dist/bin
#cgo windows LDFLAGS: -lext_server_shared -lpthread
#include <stdlib.h>
#include "examples/server/server.h"
*/
import "C"
import (
"bytes"
"context"
"encoding/json"
"errors"
"fmt"
"log"
"os"
"runtime"
"sync"
"time"
"unsafe"
"github.com/jmorganca/ollama/api"
)
func errWrap(resp C.ext_server_err) error {
if resp.code == 0 {
return nil
}
err := fmt.Errorf(C.GoString(resp.err))
C.free(unsafe.Pointer(resp.err))
return err
}
type llamaExtServer struct {
api.Options
}
// Note: current implementation does not support concurrent instantiations
var mutex sync.Mutex
func newLlamaExtServer(model string, adapters, projectors []string, numLayers int64, opts api.Options) (*llamaExtServer, error) {
if !mutex.TryLock() {
log.Printf("concurrent llm servers not yet supported, waiting for prior server to complete")
mutex.Lock()
}
server := &llamaExtServer{opts}
fileInfo, err := os.Stat(model)
if err != nil {
return nil, err
}
var sparams C.ext_server_params
sparams.model = C.CString(model)
defer C.free(unsafe.Pointer(sparams.model))
numGPU := NumGPU(numLayers, fileInfo.Size(), opts)
sparams.embedding = true
sparams.n_ctx = C.uint(opts.NumCtx)
sparams.n_batch = C.uint(opts.NumBatch)
sparams.n_gpu_layers = C.int(numGPU)
sparams.main_gpu = C.int(opts.MainGPU)
sparams.n_parallel = 2 // TODO - wire up concurrency
// Always use the value encoded in the model
sparams.rope_freq_base = 0.0
sparams.rope_freq_scale = 0.0
sparams.lora_adapters = nil
for i := 0; i < len(adapters); i++ {
la := (*C.ext_server_lora_adapter)(C.malloc(C.sizeof_struct_ext_server_lora_adapter))
defer C.free(unsafe.Pointer(la))
la.adapter = C.CString(adapters[i])
defer C.free(unsafe.Pointer(la.adapter))
la.scale = C.float(1.0) // TODO expose scale/weights up through ollama UX
la.next = nil
if i == 0 {
sparams.lora_adapters = la
} else {
tmp := sparams.lora_adapters
for ; tmp.next != nil; tmp = tmp.next {
}
tmp.next = la
}
}
// TODO - implement ME
// if len(projectors) > 0 {
// // TODO: applying multiple projectors is not supported by the llama.cpp server yet
// params = append(params, "--mmproj", projectors[0])
// }
if opts.NumThread > 0 {
sparams.n_threads = C.uint(opts.NumThread)
} else {
sparams.n_threads = C.uint(runtime.NumCPU())
}
sparams.memory_f16 = false
if opts.F16KV {
sparams.memory_f16 = true
}
sparams.use_mlock = false
if opts.UseMLock {
sparams.use_mlock = true
}
sparams.use_mmap = true
if !opts.UseMMap {
sparams.use_mmap = false
}
sparams.numa = false
if opts.UseNUMA {
sparams.numa = true
}
log.Printf("Initializing internal llama server")
err = errWrap(C.llama_server_init(&sparams))
if err != nil {
return nil, err
}
log.Printf("Starting internal llama main loop")
C.llama_server_start()
return server, nil
}
func (llm *llamaExtServer) Predict(ctx context.Context, predict PredictOpts, fn func(PredictResult)) error {
request := map[string]any{
"prompt": predict.Prompt,
"stream": true,
"n_predict": llm.NumPredict,
"n_keep": llm.NumKeep,
"temperature": llm.Temperature,
"top_k": llm.TopK,
"top_p": llm.TopP,
"tfs_z": llm.TFSZ,
"typical_p": llm.TypicalP,
"repeat_last_n": llm.RepeatLastN,
"repeat_penalty": llm.RepeatPenalty,
"presence_penalty": llm.PresencePenalty,
"frequency_penalty": llm.FrequencyPenalty,
"mirostat": llm.Mirostat,
"mirostat_tau": llm.MirostatTau,
"mirostat_eta": llm.MirostatEta,
"penalize_nl": llm.PenalizeNewline,
"seed": llm.Seed,
"stop": llm.Stop,
}
if predict.Format == "json" {
request["grammar"] = jsonGrammar
}
// Handling JSON marshaling with special characters unescaped.
buffer := &bytes.Buffer{}
enc := json.NewEncoder(buffer)
enc.SetEscapeHTML(false)
if err := enc.Encode(request); err != nil {
return fmt.Errorf("failed to marshal data: %w", err)
}
req := C.CString(buffer.String())
defer C.free(unsafe.Pointer(req))
cmpCtx := C.llama_server_completion(req)
if cmpCtx.task_id < 0 {
defer C.free(unsafe.Pointer(cmpCtx.err))
return fmt.Errorf(C.GoString(cmpCtx.err))
}
for {
select {
case <-ctx.Done():
// This handles the request cancellation
return errWrap(C.llama_server_completion_cancel(cmpCtx.task_id))
default:
result := C.llama_server_completion_next_result(cmpCtx.task_id)
if result.result_json != nil {
defer C.free(unsafe.Pointer(result.result_json))
}
var p prediction
if err := json.Unmarshal([]byte(C.GoString(result.result_json)), &p); err != nil {
err2 := errWrap(C.llama_server_completion_cancel(cmpCtx.task_id))
return errors.Join(fmt.Errorf("error unmarshaling llm prediction response: %w", err), err2)
}
if p.Content != "" {
fn(PredictResult{
// Model: predict.Model, // XXX remove or replace?
CreatedAt: time.Now().UTC(),
Content: p.Content,
})
}
if p.Stop {
fn(PredictResult{
// Model: predict.Model, // XXX remove or replace?
CreatedAt: time.Now().UTC(),
TotalDuration: time.Since(predict.CheckpointStart),
Done: true,
PromptEvalCount: p.Timings.PromptN,
PromptEvalDuration: parseDurationMs(p.Timings.PromptMS),
EvalCount: p.Timings.PredictedN,
EvalDuration: parseDurationMs(p.Timings.PredictedMS),
})
return nil
}
}
}
}
func (llm *llamaExtServer) Encode(ctx context.Context, prompt string) ([]int, error) {
data, err := json.Marshal(TokenizeRequest{Content: prompt})
if err != nil {
return nil, fmt.Errorf("marshaling encode data: %w", err)
}
req := C.CString(string(data))
defer C.free(unsafe.Pointer(req))
var resp C.ext_server_resp
err = errWrap(C.llama_server_tokenize(req, &resp))
if resp.json_resp != nil {
defer C.free(unsafe.Pointer(resp.json_resp))
}
var encoded TokenizeResponse
if err2 := json.Unmarshal([]byte(C.GoString(resp.json_resp)), &encoded); err2 != nil {
return nil, fmt.Errorf("unmarshal encode response: %w", err2)
}
return encoded.Tokens, err
}
func (llm *llamaExtServer) Decode(ctx context.Context, tokens []int) (string, error) {
if len(tokens) == 0 {
return "", nil
}
data, err := json.Marshal(DetokenizeRequest{Tokens: tokens})
if err != nil {
return "", fmt.Errorf("marshaling decode data: %w", err)
}
req := C.CString(string(data))
defer C.free(unsafe.Pointer(req))
var resp C.ext_server_resp
err = errWrap(C.llama_server_detokenize(req, &resp))
if resp.json_resp != nil {
defer C.free(unsafe.Pointer(resp.json_resp))
}
var decoded DetokenizeResponse
if err2 := json.Unmarshal([]byte(C.GoString(resp.json_resp)), &decoded); err2 != nil {
return "", fmt.Errorf("unmarshal encode response: %w", err2)
}
return decoded.Content, err
}
func (llm *llamaExtServer) Embedding(ctx context.Context, input string) ([]float64, error) {
data, err := json.Marshal(TokenizeRequest{Content: input})
if err != nil {
return nil, fmt.Errorf("error marshaling embed data: %w", err)
}
req := C.CString(string(data))
defer C.free(unsafe.Pointer(req))
var resp C.ext_server_resp
err = errWrap(C.llama_server_embedding(req, &resp))
if resp.json_resp != nil {
defer C.free(unsafe.Pointer(resp.json_resp))
}
if err != nil {
return nil, err
}
var embedding EmbeddingResponse
if err := json.Unmarshal([]byte(C.GoString(resp.json_resp)), &embedding); err != nil {
return nil, fmt.Errorf("unmarshal tokenize response: %w", err)
}
return embedding.Embedding, nil
}
func (llm *llamaExtServer) Ping(ctx context.Context) error {
// TODO - consider some mechanism to check if the main loop and llama.cpp are in a good state
return nil
}
func (llm *llamaExtServer) Close() {
C.llama_server_stop()
mutex.Unlock()
}