mirror of
https://github.com/hanzo-ml/trainer.git
synced 2026-09-24 00:31:34 +00:00
* fix(module): Change Go module name to v2 Signed-off-by: Andrey Velichkevich <[email protected]> * Bump x/net to v0.38.0 Signed-off-by: Andrey Velichkevich <[email protected]> --------- Signed-off-by: Andrey Velichkevich <[email protected]>
192 lines
6.2 KiB
Go
192 lines
6.2 KiB
Go
/*
|
|
Copyright 2025 The Kubeflow Authors.
|
|
|
|
Licensed under the Apache License, Version 2.0 (the "License");
|
|
you may not use this file except in compliance with the License.
|
|
You may obtain a copy of the License at
|
|
|
|
http://www.apache.org/licenses/LICENSE-2.0
|
|
|
|
Unless required by applicable law or agreed to in writing, software
|
|
distributed under the License is distributed on an "AS IS" BASIS,
|
|
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
See the License for the specific language governing permissions and
|
|
limitations under the License.
|
|
*/
|
|
|
|
package plainml
|
|
|
|
import (
|
|
"context"
|
|
"testing"
|
|
|
|
"github.com/google/go-cmp/cmp"
|
|
"github.com/google/go-cmp/cmp/cmpopts"
|
|
corev1 "k8s.io/api/core/v1"
|
|
metav1 "k8s.io/apimachinery/pkg/apis/meta/v1"
|
|
"k8s.io/apimachinery/pkg/util/intstr"
|
|
corev1ac "k8s.io/client-go/applyconfigurations/core/v1"
|
|
"k8s.io/klog/v2/ktesting"
|
|
"k8s.io/utils/ptr"
|
|
|
|
trainer "github.com/kubeflow/trainer/v2/pkg/apis/trainer/v1alpha1"
|
|
"github.com/kubeflow/trainer/v2/pkg/constants"
|
|
"github.com/kubeflow/trainer/v2/pkg/runtime"
|
|
"github.com/kubeflow/trainer/v2/pkg/runtime/framework"
|
|
utiltesting "github.com/kubeflow/trainer/v2/pkg/util/testing"
|
|
)
|
|
|
|
func TestPlainML(t *testing.T) {
|
|
cases := map[string]struct {
|
|
trainJob *trainer.TrainJob
|
|
info *runtime.Info
|
|
wantError error
|
|
wantInfo *runtime.Info
|
|
}{
|
|
"no action when info is null": {},
|
|
"no action when mlPolicySource torch is not null": {
|
|
info: &runtime.Info{
|
|
Labels: map[string]string{"key": "value"},
|
|
RuntimePolicy: runtime.RuntimePolicy{
|
|
MLPolicySource: utiltesting.MakeMLPolicySourceWrapper().
|
|
TorchPolicy(ptr.To(intstr.FromString("auto")), nil).
|
|
Obj(),
|
|
},
|
|
},
|
|
wantInfo: &runtime.Info{
|
|
Labels: map[string]string{"key": "value"},
|
|
RuntimePolicy: runtime.RuntimePolicy{
|
|
MLPolicySource: utiltesting.MakeMLPolicySourceWrapper().
|
|
TorchPolicy(ptr.To(intstr.FromString("auto")), nil).
|
|
Obj(),
|
|
},
|
|
},
|
|
},
|
|
"no action when mlPolicySource mpi is not null": {
|
|
info: &runtime.Info{
|
|
Labels: map[string]string{"key": "value"},
|
|
RuntimePolicy: runtime.RuntimePolicy{
|
|
MLPolicySource: utiltesting.MakeMLPolicySourceWrapper().
|
|
MPIPolicy(ptr.To[int32](1), ptr.To(trainer.MPIImplementationOpenMPI), nil, ptr.To(false)).
|
|
Obj(),
|
|
},
|
|
},
|
|
wantInfo: &runtime.Info{
|
|
Labels: map[string]string{"key": "value"},
|
|
RuntimePolicy: runtime.RuntimePolicy{
|
|
MLPolicySource: utiltesting.MakeMLPolicySourceWrapper().
|
|
MPIPolicy(ptr.To[int32](1), ptr.To(trainer.MPIImplementationOpenMPI), nil, ptr.To(false)).
|
|
Obj(),
|
|
},
|
|
},
|
|
},
|
|
"trainJob trainer numNodes are respected rather than runtimeInfo": {
|
|
trainJob: utiltesting.MakeTrainJobWrapper(metav1.NamespaceDefault, "test").
|
|
Trainer(
|
|
utiltesting.MakeTrainJobTrainerWrapper().NumNodes(200).Obj(),
|
|
).
|
|
Obj(),
|
|
info: runtime.NewInfo(
|
|
runtime.WithMLPolicySource(
|
|
utiltesting.MakeMLPolicyWrapper().Obj(),
|
|
),
|
|
runtime.WithPodSet(constants.Node, ptr.To(constants.AncestorTrainer), 100, corev1.PodSpec{}, corev1ac.PodSpec().
|
|
WithContainers(corev1ac.Container().WithName(constants.Node)),
|
|
),
|
|
),
|
|
wantInfo: &runtime.Info{
|
|
Labels: make(map[string]string),
|
|
Annotations: make(map[string]string),
|
|
RuntimePolicy: runtime.RuntimePolicy{
|
|
MLPolicySource: utiltesting.MakeMLPolicySourceWrapper().Obj(),
|
|
},
|
|
TemplateSpec: runtime.TemplateSpec{
|
|
PodSets: []runtime.PodSet{{
|
|
Name: constants.Node,
|
|
Ancestor: ptr.To(constants.AncestorTrainer),
|
|
Count: ptr.To[int32](200),
|
|
SinglePodRequests: make(corev1.ResourceList),
|
|
Containers: []runtime.Container{{
|
|
Name: constants.Node,
|
|
}},
|
|
}},
|
|
},
|
|
Scheduler: &runtime.Scheduler{PodLabels: make(map[string]string)},
|
|
},
|
|
},
|
|
"trainJob trainer env are respected rather than runtimeInfo": {
|
|
trainJob: utiltesting.MakeTrainJobWrapper(metav1.NamespaceDefault, "test").
|
|
Trainer(
|
|
utiltesting.MakeTrainJobTrainerWrapper().
|
|
Env(corev1.EnvVar{
|
|
Name: "CONFLICT",
|
|
Value: "FROM_TRAINER",
|
|
},
|
|
).
|
|
NumNodes(1).
|
|
Obj(),
|
|
).
|
|
Obj(),
|
|
info: runtime.NewInfo(
|
|
runtime.WithMLPolicySource(
|
|
utiltesting.MakeMLPolicyWrapper().Obj(),
|
|
),
|
|
runtime.WithPodSet(constants.Node, ptr.To(constants.AncestorTrainer), 100, corev1.PodSpec{}, corev1ac.PodSpec().
|
|
WithContainers(corev1ac.Container().
|
|
WithName(constants.Node).
|
|
WithEnv(corev1ac.EnvVar().
|
|
WithName("CONFLICT").
|
|
WithValue("FROM_TRAINER"),
|
|
),
|
|
),
|
|
),
|
|
),
|
|
wantInfo: &runtime.Info{
|
|
Labels: make(map[string]string),
|
|
Annotations: make(map[string]string),
|
|
RuntimePolicy: runtime.RuntimePolicy{
|
|
MLPolicySource: utiltesting.MakeMLPolicySourceWrapper().Obj(),
|
|
},
|
|
TemplateSpec: runtime.TemplateSpec{
|
|
PodSets: []runtime.PodSet{{
|
|
Name: constants.Node,
|
|
Ancestor: ptr.To(constants.AncestorTrainer),
|
|
Count: ptr.To[int32](1),
|
|
SinglePodRequests: make(corev1.ResourceList),
|
|
Containers: []runtime.Container{{
|
|
Name: constants.Node,
|
|
Env: []corev1ac.EnvVarApplyConfiguration{
|
|
*corev1ac.EnvVar().WithName("CONFLICT").WithValue("FROM_TRAINER"),
|
|
},
|
|
}},
|
|
}},
|
|
},
|
|
Scheduler: &runtime.Scheduler{PodLabels: make(map[string]string)},
|
|
},
|
|
},
|
|
}
|
|
for name, tc := range cases {
|
|
t.Run(name, func(t *testing.T) {
|
|
_, ctx := ktesting.NewTestContext(t)
|
|
var cancel func()
|
|
ctx, cancel = context.WithCancel(ctx)
|
|
t.Cleanup(cancel)
|
|
cliBuilder := utiltesting.NewClientBuilder()
|
|
p, err := New(ctx, cliBuilder.Build(), nil)
|
|
if err != nil {
|
|
t.Fatalf("Failed to initialize PlainML plugin: %v", err)
|
|
}
|
|
err = p.(framework.EnforceMLPolicyPlugin).EnforceMLPolicy(tc.info, tc.trainJob)
|
|
if diff := cmp.Diff(tc.wantError, err, cmpopts.EquateErrors()); len(diff) != 0 {
|
|
t.Errorf("Unexpected error from EnforceMLPolicy (-want,+got):\n%s", diff)
|
|
}
|
|
if diff := cmp.Diff(tc.wantInfo, tc.info,
|
|
cmpopts.SortSlices(func(a, b string) bool { return a < b }),
|
|
cmpopts.SortMaps(func(a, b string) bool { return a < b }),
|
|
); len(diff) != 0 {
|
|
t.Errorf("Unexpected RuntimeInfo (-want,+got):\n%s", diff)
|
|
}
|
|
})
|
|
}
|
|
}
|