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trainer_interface.go
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trainer_interface.go
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// Copyright 2018 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 commands
import (
"time"
"k8s.io/api/core/v1"
metav1 "k8s.io/apimachinery/pkg/apis/meta/v1"
"k8s.io/client-go/kubernetes"
)
// The Training Job can be TensorFlow, MPI and Caffe
type TrainingJob interface {
// Get the chief Pod of the Job.
ChiefPod() v1.Pod
// Get the name of the Training Job
Name() string
// Get the namespace of the Training Job
Namespace() string
// Get all the pods of the Training Job
AllPods() []v1.Pod
// Get the Status of the Job: RUNNING, PENDING,
GetStatus() string
// Return trainer Type, support MPI, standalone, tensorflow
Trainer() string
// Get the Job Age
Age() time.Duration
// Get the Job Duration
Duration() time.Duration
// Get start time
StartTime() *metav1.Time
// Get Dashboard
GetJobDashboards(client *kubernetes.Clientset) ([]string, error)
// Requested GPU count of the Job
RequestedGPU() int64
// Requested GPU count of the Job
AllocatedGPU() int64
// the host ip of the chief pod
HostIPOfChief() string
}
type Trainer interface {
// Check if the training job is supported
IsSupported(name, ns string) bool
// Get TrainingJob object directly. this method is called when `arena get`
GetTrainingJob(name, namespace string) (TrainingJob, error)
// Get the type of trainer
Type() string
ListTrainingJobs() ([]TrainingJob, error)
}