Merge branch 'Microsoft-master'

README.md

@@ -24,6 +24,13 @@ The tool dispatches and runs trial jobs generated by tuning algorithms to search
 * Researchers and data scientists who want to implement their own AutoML algorithms and compare it with other algorithms.
 * ML Platform owners who want to support AutoML in their platform.
 
+## Related Projects
+Targeting at openness and advancing state-of-art technology, [Microsoft Research (MSR)](https://www.microsoft.com/en-us/research/group/systems-research-group-asia/) had also released few other open source projects.
+* [OpenPAI](https://github.com/Microsoft/pai) : an open source platform that provides complete AI model training and resource management capabilities, it is easy to extend and supports on-premise, cloud and hybrid environments in various scale.
+* [FrameworkController](https://github.com/Microsoft/frameworkcontroller) : an open source general-purpose Kubernetes Pod Controller that orchestrate all kinds of applications on Kubernetes by a single controller.
+* [MMdnn](https://github.com/Microsoft/MMdnn) : A comprehensive, cross-framework solution to convert, visualize and diagnose deep neural network models. The "MM" in MMdnn stands for model management and "dnn" is an acronym for deep neural network.
+We encourage researchers and students leverage these projects to accelerate the AI development and research.
+
 ## **Install & Verify**
 
 **Install through pip** 	

src/nni_manager/training_service/kubernetes/kubernetesTrainingService.ts

@@ -93,7 +93,7 @@ abstract class KubernetesTrainingService {
         return Promise.resolve(jobs);
     }
 
-    public getTrialJob(trialJobId: string): Promise<TrialJobDetail> {
+    public async getTrialJob(trialJobId: string): Promise<TrialJobDetail> {
 
         const kubernetesTrialJob: TrialJobDetail | undefined = this.trialJobsMap.get(trialJobId);
 

src/nni_manager/training_service/pai/paiTrainingService.ts

@@ -113,7 +113,7 @@ class PAITrainingService implements TrainingService {
         return Promise.resolve(jobs);
     }
 
-    public getTrialJob(trialJobId: string): Promise<TrialJobDetail> {
+    public async getTrialJob(trialJobId: string): Promise<TrialJobDetail> {
         if(!this.paiClusterConfig) {
             throw new Error('PAI Cluster config is not initialized');
         }

src/nni_manager/training_service/remote_machine/remoteMachineTrainingService.ts

@@ -113,6 +113,7 @@ class RemoteMachineTrainingService implements TrainingService {
     public async listTrialJobs(): Promise<TrialJobDetail[]> {
         const jobs: TrialJobDetail[] = [];
         const deferred: Deferred<TrialJobDetail[]> = new Deferred<TrialJobDetail[]>();
+
         for (const [key, value] of this.trialJobsMap) { 
             if (value.form.jobType === 'TRIAL') {
                 jobs.push(await this.getTrialJob(key));