/
nonSplitTraining.go
118 lines (98 loc) · 4.22 KB
/
nonSplitTraining.go
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/*
* Copyright 2017-2018 IBM Corporation
*
* 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 lcm
import (
"github.com/AISphere/ffdl-commons/config"
"github.com/AISphere/ffdl-lcm/service/lcm/learner"
)
func (t nonSplitTraining) Start() error {
gpus := make(map[string]string)
if t.req.Resources.Gpus > 0 {
gpus["ibm-cloud.kubernetes.io/gpu-type"] = t.req.Resources.GpuType
}
learnerDefn := t.learner
helperDefn := t.helper
helperAndLearnerVolumes := append(learnerDefn.volumes, helperDefn.etcdVolume, helperDefn.sharedVolume)
helperContainers := t.constructAuxillaryContainers(false)
//now create the learner container
useLogCollector := useLogCollectors(t.k8sClient, t.logr)
learnerContainer := constructLearnerContainer(t.req, learnerDefn.envVars, learnerDefn.volumeMounts, helperDefn.sharedVolumeMount, learnerDefn.mountTrainingDataStoreInLearner, learnerDefn.mountResultsStoreInLearner, learnerDefn.mountSSHCertsInLearner, t.logr, useLogCollector)
helperContainers = append(helperContainers, learnerContainer)
imagePullSecret, err := learner.GenerateImagePullSecret(t.k8sClient, t.req)
if err != nil {
t.logr.WithError(err).Errorf("Could not create pull secret for %s", t.learner.name)
return err
}
//create pod, service, statefuleset spec
labelsMap := map[string]string{
"training_id": t.req.TrainingId,
"user_id": t.req.UserId,
"deploy_zone": t.req.Labels["deploy_zone"],
"framework": t.req.Framework + t.req.Version,
"gpu_type": t.req.Resources.GpuType,
"kube_major": t.req.Labels["kube_major"],
"kube_minor": t.req.Labels["kube_minor"],
"cluster_env": t.req.Labels["cluster_env"],
}
gpuTolerations := getTolerations(t.req.Resources.GpuType, 30)
termGracePeriodSecs := getTermGracePeriodSecs(0)
if isCPUOnly(t.req.Resources.GpuType) {
gpus["gpu/nvidia"] = "NA"
}
nonSplitLearnerPodSpec := learner.CreatePodSpec(helperContainers, helperAndLearnerVolumes, labelsMap, gpus, imagePullSecret, nil, gpuTolerations, termGracePeriodSecs)
serviceSpec := learner.CreateServiceSpec(learnerDefn.name, t.req.TrainingId)
statefulSetSpec := learner.CreateStatefulSetSpecForLearner(learnerDefn.name, serviceSpec.Name, learnerDefn.numberOfLearners, nonSplitLearnerPodSpec)
numLearners := int(t.req.GetResources().Learners)
return t.CreateFromBOM(&nonSplitTrainingBOM{
learnerDefn.secrets,
learnerDefn.networkingPolicy,
serviceSpec,
statefulSetSpec,
numLearners,
})
}
//CreateFromBOM ... eventually use with controller and make this transactional
func (t nonSplitTraining) CreateFromBOM(bom *nonSplitTrainingBOM) error {
logr := t.logr
namespace := config.GetLearnerNamespace()
if bom.networkPolicy != nil {
logr.Infof("Applying network policy for training")
if _, err := t.k8sClient.NetworkingV1().NetworkPolicies(namespace).Create(bom.networkPolicy); err != nil {
logr.WithError(err).Errorf("Failed in creating policy %s while deploying for training ", bom.networkPolicy.Name)
return err
}
}
for _, secret := range bom.secrets {
//create the secrets
if _, err := t.k8sClient.CoreV1().Secrets(namespace).Create(secret); err != nil {
logr.WithError(err).Errorf("Failed in creating secrets %s while deploying for training ", secret.Name)
return err
}
}
if bom.numLearners > 1 {
//create service
if _, err := t.k8sClient.CoreV1().Services(namespace).Create(bom.service); err != nil {
logr.WithError(err).Errorf("Failed in creating service %s while deploying for training ", bom.service.Name)
return err
}
}
//create the stateful set
if _, err := t.k8sClient.AppsV1beta1().StatefulSets(namespace).Create(bom.learnerBOM); err != nil {
logr.WithError(err).Errorf("Failed in creating statefulsets %s while deploying for training ", bom.learnerBOM.Name)
return err
}
return nil
}