-
Notifications
You must be signed in to change notification settings - Fork 0
/
top_job.go
237 lines (216 loc) · 6.14 KB
/
top_job.go
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
// 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 (
"fmt"
"os"
log "github.com/sirupsen/logrus"
"github.com/spf13/cobra"
"strconv"
"text/tabwriter"
"time"
"github.com/kubeflow/arena/pkg/util"
"k8s.io/api/core/v1"
)
func NewTopJobCommand() *cobra.Command {
var printNotStop bool
var instanceName string
var command = &cobra.Command{
Use: "job",
Short: "Display Resource (GPU) usage of jobs.",
Run: func(cmd *cobra.Command, args []string) {
util.SetLogLevel(logLevel)
setupKubeconfig()
client, err := initKubeClient()
if err != nil {
fmt.Println(err)
os.Exit(1)
}
err = updateNamespace(cmd)
if err != nil {
log.Debugf("Failed due to %v", err)
fmt.Println(err)
os.Exit(1)
}
var (
topJobName string
trainingType string
job TrainingJob
jobs []TrainingJob
showGpuMetric bool
)
if len(args) > 0 {
// enable GPU Metrics
showGpuMetric = true
topJobName = args[0]
job, err = searchTrainingJob(topJobName, "", namespace)
if err != nil {
fmt.Println(err)
os.Exit(1)
}
trainingType = job.Trainer()
}
printStart:
if showGpuMetric {
jobs = []TrainingJob{}
job, err = searchTrainingJob(topJobName, trainingType, namespace)
if err != nil {
fmt.Printf("Failed to show GPU metrics due to %v", err)
}
jobs = append(jobs, job)
} else {
if printNotStop {
fmt.Println("You must specify the job name when using `-r` flag")
os.Exit(1)
}
useCache = true
allPods, err = acquireAllPods(client)
if err != nil {
fmt.Println(err)
os.Exit(1)
}
allJobs, err = acquireAllJobs(client)
if err != nil {
fmt.Println(err)
os.Exit(1)
}
trainers := NewTrainers(client)
for _, trainer := range trainers {
trainingJobs, err := trainer.ListTrainingJobs()
if err != nil {
log.Errorf("Failed due to %v", err)
os.Exit(1)
}
jobs = append(jobs, trainingJobs...)
}
}
jobs = makeTrainingJobOrderdByGPUCount(jobs)
// TODO(cheyang): Support different job describer, such as MPI job/tf job describer
topTrainingJob(jobs, showGpuMetric, instanceName, printNotStop)
if printNotStop {
goto printStart
}
},
}
command.Flags().BoolVarP(&printNotStop, "refresh", "r", false, "Display continuously")
command.Flags().StringVarP(&instanceName, "instance", "i", "", "Display instance top info")
command.Flags().BoolVar(&allNamespaces, "allNamespaces", false, "show all the namespaces")
return command
}
func topTrainingJob(jobInfoList []TrainingJob, showSpecificJobMetric bool, instanceName string, notStop bool) {
w := tabwriter.NewWriter(os.Stdout, 0, 0, 2, ' ', 0)
var (
totalAllocatedGPUs int64
totalRequestedGPUs int64
)
if showSpecificJobMetric {
if !GpuMonitoringInstalled(clientset) {
fmt.Fprint(w, fmt.Sprintf("You haven't deployed prometheus and gpu metrics exporter for your k8s cluster, please deploy prometheus and gpu metric exporter following %s", PROMETHEUS_INSTALL_DOC_URL))
_ = w.Flush()
return
}
}
labelField := []string{"NAME", "GPU(Requests)", "GPU(Allocated)", "STATUS", "TRAINER", "AGE", "NODE"}
if showSpecificJobMetric {
labelField = []string{"INSTANCE NAME", "GPU(Device Index)", "GPU(Duty Cycle)", "GPU(Memory MiB)", "STATUS", "NODE"}
}
PrintLine(w, labelField...)
if showSpecificJobMetric {
for _, jobInfo := range jobInfoList {
pods := jobInfo.AllPods()
gpuMetric, err := GetJobGpuMetric(clientset, jobInfo)
if err != nil {
log.Debugf("Failed Query job %s GPU metric, err: %++v", jobInfo.Name(), err)
continue
}
for _, pod := range pods {
if instanceName != "" && instanceName != pod.Name {
continue
}
hostIP := ""
status := string(pod.Status.Phase)
if pod.Status.Phase == v1.PodRunning {
hostIP = pod.Status.HostIP
}
if podMetric, ok := gpuMetric[pod.Name]; !ok || len(podMetric) == 0 {
PrintLine(w,
pod.Name,
"N/A",
"N/A",
"N/A",
status,
hostIP,
)
} else {
index := 0
keys := SortMapKeys(podMetric)
for _, gid := range keys {
podName := pod.Name
if index != 0 {
podName = ""
}
guid := gid
gpuMetric := podMetric[gid]
PrintLine(w,
podName,
guid,
fmt.Sprintf("%.0f%%", gpuMetric.GpuDutyCycle),
fmt.Sprintf("%.1fMiB / %.1fMiB ", fromByteToMiB(gpuMetric.GpuMemoryUsed), fromByteToMiB(gpuMetric.GpuMemoryTotal)),
status,
hostIP,
)
index++
}
}
}
}
} else {
for _, jobInfo := range jobInfoList {
hostIP := jobInfo.HostIPOfChief()
requestedGPU := jobInfo.RequestedGPU()
allocatedGPU := jobInfo.AllocatedGPU()
// status, hostIP := jobInfo.getStatus()
totalAllocatedGPUs += allocatedGPU
totalRequestedGPUs += requestedGPU
PrintLine(w, jobInfo.Name(),
strconv.FormatInt(requestedGPU, 10),
strconv.FormatInt(allocatedGPU, 10),
jobInfo.GetStatus(),
jobInfo.Trainer(),
util.ShortHumanDuration(jobInfo.Age()),
hostIP,
)
}
}
if !showSpecificJobMetric {
fmt.Fprintf(w, "\n")
fmt.Fprintf(w, "\n")
fmt.Fprintf(w, "Total Allocated GPUs of Training Job:\n")
fmt.Fprintf(w, "%s \t\n", strconv.FormatInt(totalAllocatedGPUs, 10))
fmt.Fprintf(w, "\n")
fmt.Fprintf(w, "Total Requested GPUs of Training Job:\n")
fmt.Fprintf(w, "%s \t\n", strconv.FormatInt(totalRequestedGPUs, 10))
}
if notStop {
fmt.Print("\033[2J")
fmt.Print("\033[0;0H")
_ = w.Flush()
time.Sleep(1 * time.Second)
return
}
_ = w.Flush()
}
func fromByteToMiB(value float64) float64 {
return value / 1048576
}