Files
ollama/x/imagegen/server.go
2026-02-12 09:05:42 -08:00

473 lines
12 KiB
Go

package imagegen
import (
"bufio"
"bytes"
"context"
"encoding/json"
"errors"
"fmt"
"io"
"log/slog"
"math/rand"
"net"
"net/http"
"os"
"os/exec"
"path/filepath"
"runtime"
"strconv"
"strings"
"sync"
"time"
"github.com/ollama/ollama/envconfig"
"github.com/ollama/ollama/llm"
"github.com/ollama/ollama/ml"
"github.com/ollama/ollama/x/imagegen/manifest"
)
// Server wraps an MLX runner subprocess to implement llm.LlamaServer.
//
// This implementation is compatible with Ollama's scheduler and can be loaded/unloaded
// like any other model. It supports both LLM (safetensors) and image generation models.
type Server struct {
mu sync.Mutex
cmd *exec.Cmd
port int
modelName string
mode ModelMode
vramSize uint64
done chan error
client *http.Client
lastErr string // Last stderr line for error reporting
lastErrLock sync.Mutex
}
// NewServer spawns a new MLX runner subprocess and waits until it's ready.
func NewServer(modelName string, mode ModelMode) (*Server, error) {
// Validate platform support before attempting to start
if err := CheckPlatformSupport(); err != nil {
return nil, err
}
// Find a free port
port := 0
if a, err := net.ResolveTCPAddr("tcp", "localhost:0"); err == nil {
if l, err := net.ListenTCP("tcp", a); err == nil {
port = l.Addr().(*net.TCPAddr).Port
l.Close()
}
}
if port == 0 {
port = rand.Intn(65535-49152) + 49152
}
// Get the current executable path (we use the same binary with runner subcommand)
exe, err := os.Executable()
if err != nil {
return nil, fmt.Errorf("unable to lookup executable path: %w", err)
}
if eval, err := filepath.EvalSymlinks(exe); err == nil {
exe = eval
}
// Spawn subprocess: ollama runner --imagegen-engine --model <path> --port <port>
cmd := exec.Command(exe, "runner", "--imagegen-engine", "--model", modelName, "--port", strconv.Itoa(port))
cmd.Env = os.Environ()
// On Linux, set LD_LIBRARY_PATH to include MLX library directories
if runtime.GOOS == "linux" {
// Build library paths: start with LibOllamaPath, then add any mlx_* subdirectories
libraryPaths := []string{ml.LibOllamaPath}
if mlxDirs, err := filepath.Glob(filepath.Join(ml.LibOllamaPath, "mlx_*")); err == nil {
libraryPaths = append(libraryPaths, mlxDirs...)
}
// Append existing LD_LIBRARY_PATH if set
if existingPath, ok := os.LookupEnv("LD_LIBRARY_PATH"); ok {
libraryPaths = append(libraryPaths, filepath.SplitList(existingPath)...)
}
pathEnvVal := strings.Join(libraryPaths, string(filepath.ListSeparator))
// Update or add LD_LIBRARY_PATH in cmd.Env
found := false
for i := range cmd.Env {
if strings.HasPrefix(cmd.Env[i], "LD_LIBRARY_PATH=") {
cmd.Env[i] = "LD_LIBRARY_PATH=" + pathEnvVal
found = true
break
}
}
if !found {
cmd.Env = append(cmd.Env, "LD_LIBRARY_PATH="+pathEnvVal)
}
slog.Debug("mlx subprocess library path", "LD_LIBRARY_PATH", pathEnvVal)
}
// Estimate VRAM based on tensor size from manifest
var vramSize uint64
if modelManifest, err := manifest.LoadManifest(modelName); err == nil {
vramSize = uint64(modelManifest.TotalTensorSize())
} else {
// Fallback: default to 8GB if manifest can't be loaded
vramSize = 8 * 1024 * 1024 * 1024
}
s := &Server{
cmd: cmd,
port: port,
modelName: modelName,
mode: mode,
vramSize: vramSize,
done: make(chan error, 1),
client: &http.Client{Timeout: 10 * time.Minute},
}
// Forward subprocess stdout/stderr to server logs
stdout, _ := cmd.StdoutPipe()
stderr, _ := cmd.StderrPipe()
go func() {
scanner := bufio.NewScanner(stdout)
for scanner.Scan() {
slog.Info("mlx-runner", "msg", scanner.Text())
}
}()
go func() {
scanner := bufio.NewScanner(stderr)
for scanner.Scan() {
line := scanner.Text()
slog.Warn("mlx-runner", "msg", line)
s.lastErrLock.Lock()
s.lastErr = line
s.lastErrLock.Unlock()
}
}()
slog.Info("starting mlx runner subprocess", "exe", exe, "model", modelName, "port", port, "mode", mode)
if err := cmd.Start(); err != nil {
return nil, fmt.Errorf("failed to start mlx runner: %w", err)
}
// Reap subprocess when it exits
go func() {
err := cmd.Wait()
s.done <- err
}()
// Wait for subprocess to be ready
if err := s.waitUntilRunning(); err != nil {
s.Close()
return nil, err
}
return s, nil
}
// ModelPath returns the path to the model.
func (s *Server) ModelPath() string {
return s.modelName
}
// Load satisfies the LlamaServer interface. MLX models don't need GPU layer assignment.
func (s *Server) Load(ctx context.Context, systemInfo ml.SystemInfo, gpus []ml.DeviceInfo, requireFull bool) ([]ml.DeviceID, error) {
return nil, nil
}
// Ping checks if the subprocess is healthy.
func (s *Server) Ping(ctx context.Context) error {
url := fmt.Sprintf("http://127.0.0.1:%d/health", s.port)
req, err := http.NewRequestWithContext(ctx, "GET", url, nil)
if err != nil {
return err
}
resp, err := s.client.Do(req)
if err != nil {
return err
}
defer resp.Body.Close()
if resp.StatusCode != http.StatusOK {
return fmt.Errorf("health check failed: %d", resp.StatusCode)
}
return nil
}
// waitUntilRunning waits for the subprocess to be ready.
func (s *Server) waitUntilRunning() error {
ctx := context.Background()
timeout := time.After(envconfig.LoadTimeout())
ticker := time.NewTicker(100 * time.Millisecond)
defer ticker.Stop()
for {
select {
case err := <-s.done:
// Include recent stderr lines for better error context
errMsg := s.getLastErr()
if errMsg != "" {
return fmt.Errorf("mlx runner failed: %s (exit: %v)", errMsg, err)
}
return fmt.Errorf("mlx runner exited unexpectedly: %w", err)
case <-timeout:
errMsg := s.getLastErr()
if errMsg != "" {
return fmt.Errorf("timeout waiting for mlx runner: %s", errMsg)
}
return errors.New("timeout waiting for mlx runner to start")
case <-ticker.C:
if err := s.Ping(ctx); err == nil {
slog.Info("mlx runner is ready", "port", s.port)
return nil
}
}
}
}
// getLastErr returns the last stderr line.
func (s *Server) getLastErr() string {
s.lastErrLock.Lock()
defer s.lastErrLock.Unlock()
return s.lastErr
}
// WaitUntilRunning satisfies the LlamaServer interface.
func (s *Server) WaitUntilRunning(ctx context.Context) error {
return nil
}
// Completion handles both text and image generation requests.
func (s *Server) Completion(ctx context.Context, req llm.CompletionRequest, fn func(llm.CompletionResponse)) error {
seed := req.Seed
if seed == 0 {
seed = time.Now().UnixNano()
}
// Extract raw image bytes from llm.ImageData slice
var images [][]byte
for _, img := range req.Images {
images = append(images, img.Data)
}
// Build request for subprocess
creq := Request{
Prompt: req.Prompt,
Width: req.Width,
Height: req.Height,
Steps: int(req.Steps),
Seed: seed,
Images: images,
}
// Pass LLM options if present
if req.Options != nil {
creq.Options = &RequestOptions{
NumPredict: req.Options.NumPredict,
Temperature: float64(req.Options.Temperature),
TopP: float64(req.Options.TopP),
TopK: req.Options.TopK,
Stop: req.Options.Stop,
}
}
body, err := json.Marshal(creq)
if err != nil {
return err
}
url := fmt.Sprintf("http://127.0.0.1:%d/completion", s.port)
httpReq, err := http.NewRequestWithContext(ctx, "POST", url, bytes.NewReader(body))
if err != nil {
return err
}
httpReq.Header.Set("Content-Type", "application/json")
resp, err := s.client.Do(httpReq)
if err != nil {
return err
}
defer resp.Body.Close()
if resp.StatusCode != http.StatusOK {
body, _ := io.ReadAll(resp.Body)
return fmt.Errorf("%s", strings.TrimSpace(string(body)))
}
scanner := bufio.NewScanner(resp.Body)
scanner.Buffer(make([]byte, 1024*1024), 16*1024*1024) // 16MB max
for scanner.Scan() {
// Parse subprocess response
var raw struct {
Image string `json:"image,omitempty"`
Content string `json:"content,omitempty"`
Done bool `json:"done"`
Step int `json:"step,omitempty"`
Total int `json:"total,omitempty"`
StopReason string `json:"stop_reason,omitempty"`
PromptEvalCount int `json:"prompt_eval_count,omitempty"`
PromptEvalDuration int `json:"prompt_eval_duration,omitempty"`
EvalCount int `json:"eval_count,omitempty"`
EvalDuration int `json:"eval_duration,omitempty"`
}
if err := json.Unmarshal(scanner.Bytes(), &raw); err != nil {
slog.Debug("mlx response parse error", "error", err, "line", string(scanner.Bytes()))
continue
}
// Log stop reason when generation completes
if raw.Done && raw.StopReason != "" {
slog.Info("mlx generation completed", "stop_reason", raw.StopReason)
}
// Convert to llm.CompletionResponse
cresp := llm.CompletionResponse{
Content: raw.Content,
Done: raw.Done,
Step: raw.Step,
TotalSteps: raw.Total,
Image: raw.Image,
PromptEvalCount: raw.PromptEvalCount,
PromptEvalDuration: time.Duration(raw.PromptEvalDuration),
EvalCount: raw.EvalCount,
EvalDuration: time.Duration(raw.EvalDuration),
}
fn(cresp)
if cresp.Done {
return nil
}
}
// Scanner exited without receiving Done - connection was likely closed
scanErr := scanner.Err()
if scanErr != nil {
slog.Error("mlx scanner error", "error", scanErr)
} else {
slog.Warn("mlx scanner EOF without Done response - subprocess may have crashed")
}
// Check if subprocess is still alive
if s.HasExited() {
slog.Error("mlx subprocess has exited unexpectedly")
}
return scanErr
}
// Close terminates the subprocess.
func (s *Server) Close() error {
s.mu.Lock()
defer s.mu.Unlock()
if s.cmd != nil && s.cmd.Process != nil {
slog.Info("stopping mlx runner subprocess", "pid", s.cmd.Process.Pid)
s.cmd.Process.Signal(os.Interrupt)
// Wait briefly for graceful shutdown
select {
case <-s.done:
case <-time.After(5 * time.Second):
s.cmd.Process.Kill()
}
s.cmd = nil
}
return nil
}
// VRAMSize returns the estimated VRAM usage.
func (s *Server) VRAMSize() uint64 {
return s.vramSize
}
// TotalSize returns the total memory usage.
func (s *Server) TotalSize() uint64 {
return s.vramSize
}
// VRAMByGPU returns VRAM usage for a specific GPU.
func (s *Server) VRAMByGPU(id ml.DeviceID) uint64 {
return s.vramSize
}
// ContextLength returns the context length (not applicable for image generation).
func (s *Server) ContextLength() int {
return 0
}
// Embedding returns embeddings for the input.
func (s *Server) Embedding(ctx context.Context, input string) ([]float32, int, error) {
return nil, 0, errors.New("embeddings not supported for MLX models")
}
// Tokenize tokenizes the input content.
func (s *Server) Tokenize(ctx context.Context, content string) ([]int, error) {
body, err := json.Marshal(map[string]string{"content": content})
if err != nil {
return nil, err
}
url := fmt.Sprintf("http://127.0.0.1:%d/tokenize", s.port)
req, err := http.NewRequestWithContext(ctx, "POST", url, bytes.NewReader(body))
if err != nil {
return nil, err
}
req.Header.Set("Content-Type", "application/json")
resp, err := s.client.Do(req)
if err != nil {
return nil, err
}
defer resp.Body.Close()
if resp.StatusCode != http.StatusOK {
return nil, fmt.Errorf("tokenize failed: %d", resp.StatusCode)
}
var result struct {
Tokens []int `json:"tokens"`
}
if err := json.NewDecoder(resp.Body).Decode(&result); err != nil {
return nil, err
}
return result.Tokens, nil
}
// Detokenize converts tokens back to text.
func (s *Server) Detokenize(ctx context.Context, tokens []int) (string, error) {
return "", errors.New("detokenization not supported for MLX models")
}
// Pid returns the process ID of the subprocess.
func (s *Server) Pid() int {
s.mu.Lock()
defer s.mu.Unlock()
if s.cmd != nil && s.cmd.Process != nil {
return s.cmd.Process.Pid
}
return -1
}
// GetPort returns the port the subprocess is listening on.
func (s *Server) GetPort() int {
return s.port
}
// GetDeviceInfos returns device information.
func (s *Server) GetDeviceInfos(ctx context.Context) []ml.DeviceInfo {
return nil
}
// HasExited returns whether the subprocess has exited.
func (s *Server) HasExited() bool {
select {
case <-s.done:
return true
default:
return false
}
}
// Ensure Server implements llm.LlamaServer
var _ llm.LlamaServer = (*Server)(nil)