ollama/server/sched_test.go
Daniel Hiltgen d632e23fba
Add Windows arm64 support to official builds (#5712)
* Unified arm/x86 windows installer

This adjusts the installer payloads to be architecture aware so we can cary
both amd64 and arm64 binaries in the installer, and install only the applicable
architecture at install time.

* Include arm64 in official windows build

* Harden schedule test for slow windows timers

This test seems to be a bit flaky on windows, so give it more time to converge
2024-09-20 13:09:38 -07:00

793 lines
23 KiB
Go

package server
import (
"bytes"
"context"
"errors"
"log/slog"
"os"
"testing"
"time"
"github.com/stretchr/testify/require"
"github.com/ollama/ollama/api"
"github.com/ollama/ollama/app/lifecycle"
"github.com/ollama/ollama/format"
"github.com/ollama/ollama/gpu"
"github.com/ollama/ollama/llm"
)
func TestMain(m *testing.M) {
os.Setenv("OLLAMA_DEBUG", "1")
lifecycle.InitLogging()
os.Exit(m.Run())
}
func TestInitScheduler(t *testing.T) {
ctx, done := context.WithCancel(context.Background())
defer done()
s := InitScheduler(ctx)
s.loadedMu.Lock()
require.NotNil(t, s.loaded)
s.loadedMu.Unlock()
}
func TestLoad(t *testing.T) {
ctx, done := context.WithTimeout(context.Background(), 20*time.Millisecond)
defer done()
s := InitScheduler(ctx)
var ggml *llm.GGML // value not used in tests
req := &LlmRequest{
ctx: ctx,
model: &Model{ModelPath: "foo"},
opts: api.DefaultOptions(),
successCh: make(chan *runnerRef, 1),
errCh: make(chan error, 1),
sessionDuration: &api.Duration{Duration: 2 * time.Second},
}
// Fail to load model first
s.newServerFn = func(gpus gpu.GpuInfoList, model string, ggml *llm.GGML, adapters []string, projectors []string, opts api.Options, numParallel int) (llm.LlamaServer, error) {
return nil, errors.New("something failed to load model blah")
}
gpus := gpu.GpuInfoList{}
s.load(req, ggml, gpus, 0)
require.Empty(t, req.successCh)
require.Len(t, req.errCh, 1)
s.loadedMu.Lock()
require.Empty(t, s.loaded)
s.loadedMu.Unlock()
err := <-req.errCh
require.Contains(t, err.Error(), "this model may be incompatible")
server := &mockLlm{estimatedVRAM: 10, estimatedVRAMByGPU: map[string]uint64{}}
s.newServerFn = func(gpus gpu.GpuInfoList, model string, ggml *llm.GGML, adapters []string, projectors []string, opts api.Options, numParallel int) (llm.LlamaServer, error) {
return server, nil
}
s.load(req, ggml, gpus, 0)
select {
case err := <-req.errCh:
require.NoError(t, err)
case resp := <-req.successCh:
require.Equal(t, uint64(10), resp.estimatedVRAM)
require.Equal(t, uint(1), resp.refCount)
s.loadedMu.Lock()
require.Len(t, s.loaded, 1)
s.loadedMu.Unlock()
}
req.model.ModelPath = "dummy_model_path"
server.waitResp = errors.New("wait failure")
s.load(req, ggml, gpus, 0)
select {
case err := <-req.errCh:
require.Contains(t, err.Error(), "wait failure")
case resp := <-req.successCh:
t.Fatalf("unexpected success %v", resp)
}
s.loadedMu.Lock()
runner := s.loaded["dummy_model_path"]
s.loadedMu.Unlock()
require.NotNil(t, runner)
require.Equal(t, uint(0), runner.refCount)
time.Sleep(1 * time.Millisecond)
require.Len(t, s.expiredCh, 1)
}
type reqBundle struct {
ctx context.Context //nolint:containedctx
ctxDone func()
srv *mockLlm
req *LlmRequest
ggml *llm.GGML
}
func (scenario *reqBundle) newServer(gpus gpu.GpuInfoList, model string, ggml *llm.GGML, adapters []string, projectors []string, opts api.Options, numParallel int) (llm.LlamaServer, error) {
return scenario.srv, nil
}
func newScenarioRequest(t *testing.T, ctx context.Context, modelName string, estimatedVRAM uint64, duration *api.Duration) *reqBundle {
b := &reqBundle{}
b.ctx, b.ctxDone = context.WithCancel(ctx)
t.Helper()
f, err := os.CreateTemp(t.TempDir(), modelName)
require.NoError(t, err)
defer f.Close()
require.NoError(t, llm.WriteGGUF(f, llm.KV{
"general.architecture": "llama",
"llama.context_length": uint32(32),
"llama.embedding_length": uint32(4096),
"llama.block_count": uint32(1),
"llama.attention.head_count": uint32(32),
"llama.attention.head_count_kv": uint32(32),
"tokenizer.ggml.tokens": []string{" "},
"tokenizer.ggml.scores": []float32{0},
"tokenizer.ggml.token_type": []int32{0},
}, []llm.Tensor{
{Name: "blk.0.attn.weight", Kind: uint32(0), Offset: uint64(0), Shape: []uint64{1, 1, 1, 1}, WriterTo: bytes.NewReader(make([]byte, 32))},
{Name: "output.weight", Kind: uint32(0), Offset: uint64(0), Shape: []uint64{1, 1, 1, 1}, WriterTo: bytes.NewReader(make([]byte, 32))},
}))
require.NoError(t, err)
fname := f.Name()
model := &Model{Name: modelName, ModelPath: fname}
b.ggml, err = llm.LoadModel(model.ModelPath, 0)
require.NoError(t, err)
if duration == nil {
duration = &api.Duration{Duration: 5 * time.Millisecond}
}
b.req = &LlmRequest{
ctx: b.ctx,
model: model,
opts: api.DefaultOptions(),
sessionDuration: duration,
successCh: make(chan *runnerRef, 1),
errCh: make(chan error, 1),
}
b.srv = &mockLlm{estimatedVRAM: estimatedVRAM, estimatedVRAMByGPU: map[string]uint64{"": estimatedVRAM}}
return b
}
func getGpuFn() gpu.GpuInfoList {
g := gpu.GpuInfo{Library: "metal"}
g.TotalMemory = 24 * format.GigaByte
g.FreeMemory = 12 * format.GigaByte
return []gpu.GpuInfo{g}
}
func getCpuFn() gpu.GpuInfoList {
g := gpu.GpuInfo{Library: "cpu"}
g.TotalMemory = 32 * format.GigaByte
g.FreeMemory = 26 * format.GigaByte
return []gpu.GpuInfo{g}
}
func TestRequestsSameModelSameRequest(t *testing.T) {
ctx, done := context.WithTimeout(context.Background(), 500*time.Millisecond)
defer done()
s := InitScheduler(ctx)
s.getGpuFn = getGpuFn
s.getCpuFn = getCpuFn
a := newScenarioRequest(t, ctx, "ollama-model-1", 10, &api.Duration{Duration: 5 * time.Millisecond})
b := newScenarioRequest(t, ctx, "ollama-model-1", 11, &api.Duration{Duration: 0})
b.req.model = a.req.model
b.ggml = a.ggml
s.newServerFn = a.newServer
slog.Info("a")
s.pendingReqCh <- a.req
require.Len(t, s.pendingReqCh, 1)
s.Run(ctx)
select {
case resp := <-a.req.successCh:
require.Equal(t, resp.llama, a.srv)
require.Empty(t, s.pendingReqCh)
require.Empty(t, a.req.errCh)
case err := <-a.req.errCh:
t.Fatal(err.Error())
case <-ctx.Done():
t.Fatal("timeout")
}
// Same runner as first request due to not needing a reload
s.newServerFn = b.newServer
slog.Info("b")
s.pendingReqCh <- b.req
select {
case resp := <-b.req.successCh:
require.Equal(t, resp.llama, a.srv)
require.Empty(t, s.pendingReqCh)
require.Empty(t, b.req.errCh)
case err := <-b.req.errCh:
t.Fatal(err.Error())
case <-ctx.Done():
t.Fatal("timeout")
}
}
func TestRequestsSimpleReloadSameModel(t *testing.T) {
ctx, done := context.WithTimeout(context.Background(), 500*time.Millisecond)
defer done()
s := InitScheduler(ctx)
s.getGpuFn = getGpuFn
s.getCpuFn = getCpuFn
a := newScenarioRequest(t, ctx, "ollama-model-1", 10, &api.Duration{Duration: 5 * time.Millisecond})
b := newScenarioRequest(t, ctx, "ollama-model-1", 20, &api.Duration{Duration: 5 * time.Millisecond})
tmpModel := *a.req.model
b.req.model = &tmpModel
b.ggml = a.ggml
s.newServerFn = a.newServer
slog.Info("a")
s.pendingReqCh <- a.req
require.Len(t, s.pendingReqCh, 1)
s.Run(ctx)
select {
case resp := <-a.req.successCh:
require.Equal(t, resp.llama, a.srv)
require.Empty(t, s.pendingReqCh)
require.Empty(t, a.req.errCh)
case err := <-a.req.errCh:
t.Fatal(err.Error())
case <-ctx.Done():
t.Fatal("timeout")
}
// Trigger a reload
s.newServerFn = b.newServer
b.req.model.AdapterPaths = []string{"new"}
slog.Info("b")
s.pendingReqCh <- b.req
// finish first two requests, so model can reload
time.Sleep(1 * time.Millisecond)
a.ctxDone()
select {
case resp := <-b.req.successCh:
require.Equal(t, resp.llama, b.srv)
require.Empty(t, s.pendingReqCh)
require.Empty(t, b.req.errCh)
case err := <-b.req.errCh:
t.Fatal(err.Error())
case <-ctx.Done():
t.Fatal("timeout")
}
}
func TestRequestsMultipleLoadedModels(t *testing.T) {
ctx, done := context.WithTimeout(context.Background(), 500*time.Millisecond)
defer done()
s := InitScheduler(ctx)
s.getGpuFn = getGpuFn
s.getCpuFn = getCpuFn
// Multiple loaded models
a := newScenarioRequest(t, ctx, "ollama-model-3a", 1*format.GigaByte, nil)
b := newScenarioRequest(t, ctx, "ollama-model-3b", 24*format.GigaByte, nil)
c := newScenarioRequest(t, ctx, "ollama-model-4a", 30, nil)
c.req.opts.NumGPU = 0 // CPU load, will be allowed
d := newScenarioRequest(t, ctx, "ollama-model-3c", 30, nil) // Needs prior unloaded
t.Setenv("OLLAMA_MAX_LOADED_MODELS", "1")
s.newServerFn = a.newServer
slog.Info("a")
s.pendingReqCh <- a.req
s.Run(ctx)
select {
case resp := <-a.req.successCh:
require.Equal(t, resp.llama, a.srv)
require.Empty(t, s.pendingReqCh)
require.Empty(t, a.req.errCh)
case err := <-a.req.errCh:
t.Fatal(err.Error())
case <-ctx.Done():
t.Fatal("timeout")
}
s.loadedMu.Lock()
require.Len(t, s.loaded, 1)
s.loadedMu.Unlock()
t.Setenv("OLLAMA_MAX_LOADED_MODELS", "0")
s.newServerFn = b.newServer
slog.Info("b")
s.pendingReqCh <- b.req
select {
case resp := <-b.req.successCh:
require.Equal(t, resp.llama, b.srv)
require.Empty(t, s.pendingReqCh)
require.Empty(t, b.req.errCh)
case err := <-b.req.errCh:
t.Fatal(err.Error())
case <-ctx.Done():
t.Fatal("timeout")
}
s.loadedMu.Lock()
require.Len(t, s.loaded, 2)
s.loadedMu.Unlock()
// This is a CPU load with NumGPU = 0 so it should load
s.newServerFn = c.newServer
slog.Info("c")
s.pendingReqCh <- c.req
select {
case resp := <-c.req.successCh:
require.Equal(t, resp.llama, c.srv)
require.Empty(t, s.pendingReqCh)
require.Empty(t, c.req.errCh)
case err := <-c.req.errCh:
t.Fatal(err.Error())
case <-ctx.Done():
t.Fatal("timeout")
}
s.loadedMu.Lock()
require.Len(t, s.loaded, 3)
s.loadedMu.Unlock()
// Try to load a model that wont fit
s.newServerFn = d.newServer
slog.Info("d")
s.loadedMu.Lock()
require.Len(t, s.loaded, 3)
s.loadedMu.Unlock()
a.ctxDone() // Won't help since this one isn't big enough to make room
time.Sleep(2 * time.Millisecond)
s.pendingReqCh <- d.req
// finish prior request, so new model can load
time.Sleep(6 * time.Millisecond)
s.loadedMu.Lock()
require.Len(t, s.loaded, 2)
s.loadedMu.Unlock()
b.ctxDone()
select {
case resp := <-d.req.successCh:
require.Equal(t, resp.llama, d.srv)
require.Empty(t, s.pendingReqCh)
require.Empty(t, d.req.errCh)
case <-ctx.Done():
t.Fatal("timeout")
}
s.loadedMu.Lock()
require.Len(t, s.loaded, 2)
s.loadedMu.Unlock()
}
func TestGetRunner(t *testing.T) {
ctx, done := context.WithTimeout(context.Background(), 200*time.Millisecond)
defer done()
a := newScenarioRequest(t, ctx, "ollama-model-1a", 10, &api.Duration{Duration: 2 * time.Millisecond})
b := newScenarioRequest(t, ctx, "ollama-model-1b", 10, &api.Duration{Duration: 2 * time.Millisecond})
c := newScenarioRequest(t, ctx, "ollama-model-1c", 10, &api.Duration{Duration: 2 * time.Millisecond})
t.Setenv("OLLAMA_MAX_QUEUE", "1")
s := InitScheduler(ctx)
s.getGpuFn = getGpuFn
s.getCpuFn = getCpuFn
s.newServerFn = a.newServer
slog.Info("a")
successCh1a, errCh1a := s.GetRunner(a.ctx, a.req.model, a.req.opts, a.req.sessionDuration)
require.Len(t, s.pendingReqCh, 1)
slog.Info("b")
successCh1b, errCh1b := s.GetRunner(b.ctx, b.req.model, b.req.opts, b.req.sessionDuration)
require.Len(t, s.pendingReqCh, 1)
require.Empty(t, successCh1b)
require.Len(t, errCh1b, 1)
err := <-errCh1b
require.Contains(t, err.Error(), "server busy")
s.Run(ctx)
select {
case resp := <-successCh1a:
require.Equal(t, resp.llama, a.srv)
require.Empty(t, s.pendingReqCh)
require.Empty(t, errCh1a)
case err := <-errCh1a:
t.Fatal(err.Error())
case <-ctx.Done():
t.Fatal("timeout")
}
a.ctxDone() // Set "a" model to idle so it can unload
s.loadedMu.Lock()
require.Len(t, s.loaded, 1)
s.loadedMu.Unlock()
c.req.model.ModelPath = "bad path"
slog.Info("c")
successCh1c, errCh1c := s.GetRunner(c.ctx, c.req.model, c.req.opts, c.req.sessionDuration)
// Starts in pending channel, then should be quickly processsed to return an error
time.Sleep(50 * time.Millisecond) // Long enough for the "a" model to expire and unload
require.Empty(t, successCh1c)
s.loadedMu.Lock()
require.Empty(t, s.loaded)
s.loadedMu.Unlock()
require.Len(t, errCh1c, 1)
err = <-errCh1c
require.Contains(t, err.Error(), "bad path")
b.ctxDone()
}
func TestExpireRunner(t *testing.T) {
ctx, done := context.WithTimeout(context.Background(), 20*time.Millisecond)
defer done()
s := InitScheduler(ctx)
req := &LlmRequest{
ctx: ctx,
model: &Model{ModelPath: "foo"},
opts: api.DefaultOptions(),
successCh: make(chan *runnerRef, 1),
errCh: make(chan error, 1),
sessionDuration: &api.Duration{Duration: 2 * time.Minute},
}
var ggml *llm.GGML
gpus := gpu.GpuInfoList{}
server := &mockLlm{estimatedVRAM: 10, estimatedVRAMByGPU: map[string]uint64{}}
s.newServerFn = func(gpus gpu.GpuInfoList, model string, ggml *llm.GGML, adapters []string, projectors []string, opts api.Options, numParallel int) (llm.LlamaServer, error) {
return server, nil
}
s.load(req, ggml, gpus, 0)
select {
case err := <-req.errCh:
if err != nil {
t.Fatalf("expected no errors when loading, got '%s'", err.Error())
}
case resp := <-req.successCh:
s.loadedMu.Lock()
if resp.refCount != uint(1) || len(s.loaded) != 1 {
t.Fatalf("expected a model to be loaded")
}
s.loadedMu.Unlock()
}
s.expireRunner(&Model{ModelPath: "foo"})
s.finishedReqCh <- req
s.processCompleted(ctx)
s.loadedMu.Lock()
if len(s.loaded) != 0 {
t.Fatalf("expected model to be unloaded")
}
s.loadedMu.Unlock()
}
// TODO - add one scenario that triggers the bogus finished event with positive ref count
func TestPrematureExpired(t *testing.T) {
ctx, done := context.WithTimeout(context.Background(), 500*time.Millisecond)
defer done()
// Same model, same request
scenario1a := newScenarioRequest(t, ctx, "ollama-model-1a", 10, nil)
s := InitScheduler(ctx)
s.getGpuFn = func() gpu.GpuInfoList {
g := gpu.GpuInfo{Library: "metal"}
g.TotalMemory = 24 * format.GigaByte
g.FreeMemory = 12 * format.GigaByte
return []gpu.GpuInfo{g}
}
s.newServerFn = scenario1a.newServer
successCh1a, errCh1a := s.GetRunner(scenario1a.ctx, scenario1a.req.model, scenario1a.req.opts, scenario1a.req.sessionDuration)
require.Len(t, s.pendingReqCh, 1)
s.Run(ctx)
select {
case resp := <-successCh1a:
require.Equal(t, resp.llama, scenario1a.srv)
require.Empty(t, s.pendingReqCh)
require.Empty(t, errCh1a)
s.loadedMu.Lock()
require.Len(t, s.loaded, 1)
s.loadedMu.Unlock()
slog.Info("sending premature expired event now")
s.expiredCh <- resp // Shouldn't happen in real life, but make sure its safe
case err := <-errCh1a:
t.Fatal(err.Error())
case <-ctx.Done():
t.Fatal("timeout")
}
time.Sleep(scenario1a.req.sessionDuration.Duration)
scenario1a.ctxDone()
time.Sleep(20 * time.Millisecond)
require.LessOrEqual(t, len(s.finishedReqCh), 1)
time.Sleep(10 * time.Millisecond)
require.Empty(t, s.finishedReqCh)
s.loadedMu.Lock()
require.Empty(t, s.loaded)
s.loadedMu.Unlock()
// also shouldn't happen in real life
s.finishedReqCh <- scenario1a.req
time.Sleep(5 * time.Millisecond)
}
func TestUseLoadedRunner(t *testing.T) {
ctx, done := context.WithTimeout(context.Background(), 100*time.Millisecond)
req := &LlmRequest{
ctx: ctx,
opts: api.DefaultOptions(),
successCh: make(chan *runnerRef, 1),
sessionDuration: &api.Duration{Duration: 2},
}
finished := make(chan *LlmRequest)
llm1 := &mockLlm{estimatedVRAMByGPU: map[string]uint64{}}
r1 := &runnerRef{llama: llm1, sessionDuration: 1, numParallel: 1}
req.useLoadedRunner(r1, finished)
require.Equal(t, uint(1), r1.refCount)
require.Equal(t, time.Duration(2), r1.sessionDuration)
select {
case success := <-req.successCh:
require.Equal(t, r1, success)
case err := <-req.errCh:
t.Fatal(err.Error())
case <-ctx.Done():
t.Fatal("timeout")
}
done()
fin := <-finished
require.Equal(t, req, fin)
}
func TestUpdateFreeSpace(t *testing.T) {
ctx, done := context.WithTimeout(context.Background(), 100*time.Millisecond)
defer done()
gpus := gpu.GpuInfoList{
{
Library: "a",
ID: "1",
},
{
Library: "a",
ID: "2",
},
}
gpus[0].TotalMemory = 1000
gpus[0].FreeMemory = 900
gpus[1].TotalMemory = 2000
gpus[1].FreeMemory = 1900
llm1 := &mockLlm{estimatedVRAMByGPU: map[string]uint64{"1": 50, "2": 50}}
llm2 := &mockLlm{estimatedVRAMByGPU: map[string]uint64{"1": 125, "2": 75}}
r1 := &runnerRef{llama: llm1, gpus: gpus, numParallel: 1}
r2 := &runnerRef{llama: llm2, gpus: gpus, numParallel: 1}
s := InitScheduler(ctx)
s.loadedMu.Lock()
s.loaded["a"] = r1
s.loaded["b"] = r2
s.loadedMu.Unlock()
s.updateFreeSpace(gpus)
require.Equal(t, uint64(1000-50-125), gpus[0].FreeMemory)
require.Equal(t, uint64(2000-50-75), gpus[1].FreeMemory)
}
func TestFilterGPUsWithoutLoadingModels(t *testing.T) {
ctx, done := context.WithTimeout(context.Background(), 100*time.Millisecond)
defer done()
gpus := gpu.GpuInfoList{
{
Library: "cuda",
ID: "0",
},
{
Library: "cuda",
ID: "1",
},
}
r1 := &runnerRef{gpus: gpu.GpuInfoList{gpus[0]}, loading: true}
s := InitScheduler(ctx)
s.loadedMu.Lock()
s.loaded["a"] = r1
s.loadedMu.Unlock()
tmp := s.filterGPUsWithoutLoadingModels(gpus)
require.Len(t, tmp, 1)
require.Equal(t, "1", tmp[0].ID)
r1.gpus = gpu.GpuInfoList{gpus[1]}
tmp = s.filterGPUsWithoutLoadingModels(gpus)
require.Len(t, tmp, 1)
require.Equal(t, "0", tmp[0].ID)
r1.gpus = gpu.GpuInfoList{}
tmp = s.filterGPUsWithoutLoadingModels(gpus)
require.Len(t, tmp, 2)
}
func TestFindRunnerToUnload(t *testing.T) {
ctx, done := context.WithTimeout(context.Background(), 100*time.Millisecond)
defer done()
r1 := &runnerRef{refCount: 1, sessionDuration: 1, numParallel: 1}
r2 := &runnerRef{sessionDuration: 2, numParallel: 1}
s := InitScheduler(ctx)
s.loadedMu.Lock()
s.loaded["a"] = r1
s.loaded["b"] = r2
s.loadedMu.Unlock()
resp := s.findRunnerToUnload()
require.Equal(t, r2, resp)
r2.refCount = 1
resp = s.findRunnerToUnload()
require.Equal(t, r1, resp)
}
func TestNeedsReload(t *testing.T) {
ctx, done := context.WithTimeout(context.Background(), 100*time.Millisecond)
defer done()
llm := &mockLlm{estimatedVRAMByGPU: map[string]uint64{}}
do := api.DefaultOptions()
runner := &runnerRef{
model: &Model{
AdapterPaths: []string{"adapter1"},
ProjectorPaths: []string{"projector1"},
},
Options: &do,
llama: llm,
numParallel: 1,
}
req := &LlmRequest{
model: &Model{
AdapterPaths: []string{"adapter2"},
ProjectorPaths: []string{"projector2"},
},
opts: api.DefaultOptions(),
}
resp := runner.needsReload(ctx, req)
require.True(t, resp)
req.model.AdapterPaths = runner.model.AdapterPaths
resp = runner.needsReload(ctx, req)
require.True(t, resp)
req.model.ProjectorPaths = runner.model.ProjectorPaths
runner.loading = true
req.opts.NumBatch = 1234
resp = runner.needsReload(ctx, req)
require.True(t, resp)
req.opts.NumBatch = runner.Options.NumBatch
llm.pingResp = errors.New("foo")
resp = runner.needsReload(ctx, req)
require.True(t, resp)
llm.pingResp = nil
resp = runner.needsReload(ctx, req)
require.False(t, resp)
req.opts.NumGPU = 99
resp = runner.needsReload(ctx, req)
require.True(t, resp)
req.opts.NumGPU = -1
resp = runner.needsReload(ctx, req)
require.False(t, resp)
}
func TestUnloadAllRunners(t *testing.T) {
ctx, done := context.WithTimeout(context.Background(), 100*time.Millisecond)
defer done()
llm1 := &mockLlm{estimatedVRAMByGPU: map[string]uint64{}}
llm2 := &mockLlm{estimatedVRAMByGPU: map[string]uint64{}}
s := InitScheduler(ctx)
s.unloadAllRunners()
r1 := &runnerRef{llama: llm1, numParallel: 1}
r2 := &runnerRef{llama: llm2, numParallel: 1}
s.loadedMu.Lock()
s.loaded["a"] = r1
s.loaded["b"] = r2
s.loadedMu.Unlock()
s.unloadAllRunners()
require.True(t, llm1.closeCalled)
require.True(t, llm2.closeCalled)
}
func TestUnload(t *testing.T) {
llm1 := &mockLlm{estimatedVRAMByGPU: map[string]uint64{}}
r1 := &runnerRef{llama: llm1, numParallel: 1}
r2 := &runnerRef{model: &Model{AdapterPaths: []string{"A"}}, numParallel: 1}
r1.unload()
require.True(t, llm1.closeCalled)
r2.unload()
require.Nil(t, r2.model)
}
func TestAlreadyCanceled(t *testing.T) {
ctx, done := context.WithTimeout(context.Background(), 500*time.Millisecond)
defer done()
dctx, done2 := context.WithCancel(ctx)
done2()
scenario1a := newScenarioRequest(t, dctx, "ollama-model-1", 10, &api.Duration{Duration: 0})
s := InitScheduler(ctx)
slog.Info("scenario1a")
s.pendingReqCh <- scenario1a.req
require.Len(t, s.pendingReqCh, 1)
s.Run(ctx)
time.Sleep(5 * time.Millisecond)
require.Empty(t, s.pendingReqCh)
require.Empty(t, scenario1a.req.errCh)
require.Empty(t, scenario1a.req.successCh)
}
func TestHomogeneousGPUs(t *testing.T) {
ctx, done := context.WithTimeout(context.Background(), 100*time.Millisecond)
defer done()
s := InitScheduler(ctx)
s.getGpuFn = func() gpu.GpuInfoList {
// Set memory values to require the model to be spread
gpus := []gpu.GpuInfo{
{Library: "cuda"},
{Library: "rocm"},
}
gpus[0].TotalMemory = 1 * format.GibiByte
gpus[0].FreeMemory = 256 * format.MebiByte
gpus[1].TotalMemory = 1 * format.GibiByte
gpus[1].FreeMemory = 256 * format.MebiByte
return gpus
}
s.getCpuFn = getCpuFn
a := newScenarioRequest(t, ctx, "ollama-model-1", 10, &api.Duration{Duration: 5 * time.Millisecond})
s.newServerFn = func(gpus gpu.GpuInfoList, model string, ggml *llm.GGML, adapters []string, projectors []string, opts api.Options, numParallel int) (llm.LlamaServer, error) {
require.Len(t, gpus, 1)
return a.newServer(gpus, model, ggml, adapters, projectors, opts, numParallel)
}
slog.Info("a")
s.pendingReqCh <- a.req
require.Len(t, s.pendingReqCh, 1)
s.Run(ctx)
select {
case resp := <-a.req.successCh:
require.Equal(t, resp.llama, a.srv)
require.Empty(t, s.pendingReqCh)
require.Empty(t, a.req.errCh)
case err := <-a.req.errCh:
t.Fatal(err.Error())
case <-ctx.Done():
t.Fatal("timeout")
}
}
type mockLlm struct {
pingResp error
waitResp error
completionResp error
embeddingResp []float32
embeddingRespErr error
tokenizeResp []int
tokenizeRespErr error
detokenizeResp string
detonekizeRespErr error
closeResp error
closeCalled bool
estimatedVRAM uint64
estimatedTotal uint64
estimatedVRAMByGPU map[string]uint64
}
func (s *mockLlm) Ping(ctx context.Context) error { return s.pingResp }
func (s *mockLlm) WaitUntilRunning(ctx context.Context) error { return s.waitResp }
func (s *mockLlm) Completion(ctx context.Context, req llm.CompletionRequest, fn func(llm.CompletionResponse)) error {
return s.completionResp
}
func (s *mockLlm) Embedding(ctx context.Context, input string) ([]float32, error) {
return s.embeddingResp, s.embeddingRespErr
}
func (s *mockLlm) Tokenize(ctx context.Context, content string) ([]int, error) {
return s.tokenizeResp, s.tokenizeRespErr
}
func (s *mockLlm) Detokenize(ctx context.Context, tokens []int) (string, error) {
return s.detokenizeResp, s.detonekizeRespErr
}
func (s *mockLlm) Close() error {
s.closeCalled = true
return s.closeResp
}
func (s *mockLlm) EstimatedVRAM() uint64 { return s.estimatedVRAM }
func (s *mockLlm) EstimatedTotal() uint64 { return s.estimatedTotal }
func (s *mockLlm) EstimatedVRAMByGPU(gpuid string) uint64 { return s.estimatedVRAMByGPU[gpuid] }