Improve stablability of remote training service.

src/nni_manager/core/nnimanager.ts

@@ -566,7 +566,7 @@ class NNIManager implements Manager {
             assert(this.status.status === 'RUNNING' ||
                 this.status.status === 'DONE' ||
                 this.status.status === 'NO_MORE_TRIAL' ||
-                this.status.status === 'TUNER_NO_MORE_TRIAL');
+                this.status.status === 'TUNER_NO_MORE_TRIAL', `Actual status: ${this.status.status}`);
             if (this.experimentProfile.execDuration > this.experimentProfile.params.maxExecDuration ||
                 this.currSubmittedTrialNum >= this.experimentProfile.params.maxTrialNum) {
                 if (this.status.status !== 'DONE') {

src/nni_manager/training_service/remote_machine/extends/linuxCommands.ts

@@ -93,9 +93,9 @@ class LinuxCommands extends OsCommands {
         return result;
     }
 
-    public killChildProcesses(pidFileName: string): string {
+    public killChildProcesses(pidFileName: string, killSelf: boolean): string {
         // prevent trialkeeper to be killed, so it can save exit code.
-        const command = `list_descendants ()
+        let command = `list_descendants ()
                 {
                 local children=$(ps -o pid= --ppid "$1")
 
@@ -107,6 +107,9 @@ class LinuxCommands extends OsCommands {
                 echo "$children"
                 }
             kill $(list_descendants \`cat '${pidFileName}'\`)`
+        if (killSelf) {
+            command += `\nkill \`cat '${pidFileName}'\``
+        }
         return command;
     }
 

src/nni_manager/training_service/remote_machine/extends/windowsCommands.ts

@@ -102,11 +102,14 @@ class WindowsCommands extends OsCommands {
         return result;
     }
 
-    public killChildProcesses(pidFileName: string): string {
-        const command = `powershell "$ppid=(type ${pidFileName}); function Kill-Tree {Param([int]$subppid);` +
+    public killChildProcesses(pidFileName: string, killSelf: boolean): string {
+        let command = `powershell "$ppid=(type ${pidFileName}); function Kill-Tree {Param([int]$subppid);` +
             `Get-CimInstance Win32_Process | Where-Object { $_.ParentProcessId -eq $subppid } | ForEach-Object { Kill-Tree $_.ProcessId }; ` +
-            `if ($subppid -ne $ppid){Stop-Process -Id $subppid}}` +
+            `if ($subppid -ne $ppid){Stop-Process -Id $subppid -Force"}}` +
             `kill-tree $ppid"`;
+        if (killSelf){
+            command += `;Stop-Process -Id $ppid`;
+        }
         return command;
     }
 

src/nni_manager/training_service/remote_machine/osCommands.ts

@@ -25,7 +25,7 @@ abstract class OsCommands {
     public abstract readLastLines(fileName: string, lineCount: number): string;
     public abstract isProcessAliveCommand(pidFileName: string): string;
     public abstract isProcessAliveProcessOutput(result: RemoteCommandResult): boolean;
-    public abstract killChildProcesses(pidFileName: string): string;
+    public abstract killChildProcesses(pidFileName: string, killSelf: boolean): string;
     public abstract extractFile(tarFileName: string, targetFolder: string): string;
     public abstract executeScript(script: string, isFile: boolean): string;
 

src/nni_manager/training_service/remote_machine/remoteMachineTrainingService.ts

@@ -96,8 +96,8 @@ class RemoteMachineTrainingService implements TrainingService {
                 }
             }
             if (restServer.getErrorMessage !== undefined) {
-                throw new Error(restServer.getErrorMessage);
                 this.stopping = true;
+                throw new Error(restServer.getErrorMessage);
             }
             await delay(3000);
         }
@@ -394,7 +394,7 @@ class RemoteMachineTrainingService implements TrainingService {
                 if (executor !== undefined) {
                     this.log.info(`killing gpu metric collector on ${executor.name}`);
                     const gpuJobPidPath: string = executor.joinPath(executor.getRemoteScriptsPath(getExperimentId()), 'pid');
-                    await executor.killChildProcesses(gpuJobPidPath);
+                    await executor.killChildProcesses(gpuJobPidPath, true);
                 }
                 executorManager.releaseAllExecutor();
             }
@@ -460,6 +460,10 @@ class RemoteMachineTrainingService implements TrainingService {
                             this.timer.unsubscribe(disposable);
                         }
                     }
+                    if (this.stopping){
+                        this.timer.unsubscribe(disposable);
+                        this.log.debug(`Stopped GPU collector on ${rmMeta.ip}, since experiment is exiting.`);
+                    }
                     collectingCount.pop();
                 }
             }

src/nni_manager/training_service/remote_machine/shellExecutor.ts

@@ -230,8 +230,8 @@ class ShellExecutor {
         return result !== undefined ? result : false;
     }
 
-    public async killChildProcesses(pidFileName: string): Promise<boolean> {
-        const commandText = this.osCommands && this.osCommands.killChildProcesses(pidFileName);
+    public async killChildProcesses(pidFileName: string, killSelf: boolean = false): Promise<boolean> {
+        const commandText = this.osCommands && this.osCommands.killChildProcesses(pidFileName, killSelf);
         const commandResult = await this.execute(commandText);
         return commandResult.exitCode == 0;
     }

tools/nni_gpu_tool/gpu_metrics_collector.py

@@ -11,31 +11,9 @@
 from xml.dom import minidom
 
 
-def check_ready_to_run():
-    if sys.platform == 'win32':
-        pgrep_output = subprocess.check_output(
-            'wmic process where "CommandLine like \'%nni_gpu_tool.gpu_metrics_collector%\' and name like \'%python%\'" get processId')
-        pidList = pgrep_output.decode("utf-8").strip().split()
-        pidList.pop(0)  # remove the key word 'ProcessId'
-        pidList = list(map(int, pidList))
-        pidList.remove(os.getpid())
-        return not pidList
-    else:
-        pgrep_output = subprocess.check_output('pgrep -afu "$(whoami)" \'python3 -m nni_gpu_tool.gpu_metrics_collector\'', shell=True)
-        pidList = []
-        for pid in pgrep_output.splitlines():
-            pid = pid.decode()
-            if "pgrep " in pid or pid.startswith('%s ' % os.getpid()) or pid.startswith('%s ' % os.getppid()):
-                continue
-            pidList.append(pid)
-        return not pidList
-
-
 def main(argv):
     metrics_output_dir = os.environ['METRIC_OUTPUT_DIR']
-    if check_ready_to_run() == False:
-        print("GPU metrics collector is already running. exiting...")
-        exit(2)
+
     cmd = 'nvidia-smi -q -x'.split()
     while(True):
         try: