add get_experiment_id

src/nni_manager/training_service/local/localTrainingService.ts

@@ -26,7 +26,7 @@ import * as path from 'path';
 import * as ts from 'tail-stream';
 import * as tkill from 'tree-kill';
 import { NNIError, NNIErrorNames } from '../../common/errors';
-import { getInitTrialSequenceId } from '../../common/experimentStartupInfo';
+import { getExperimentId, getInitTrialSequenceId } from '../../common/experimentStartupInfo';
 import { getLogger, Logger } from '../../common/log';
 import {
     HostJobApplicationForm, HyperParameters, JobApplicationForm, TrainingService, TrialJobApplicationForm,
@@ -126,6 +126,7 @@ class LocalTrainingService implements TrainingService {
     private stopping: boolean;
     private rootDir!: string;
     private trialSequenceId: number;
+    private readonly experimentId! : string;
     private gpuScheduler!: GPUScheduler;
     private readonly occupiedGpuIndexNumMap: Map<number, number>;
     private designatedGpuIndices!: Set<number>;
@@ -145,6 +146,7 @@ class LocalTrainingService implements TrainingService {
         this.stopping = false;
         this.log = getLogger();
         this.trialSequenceId = -1;
+        this.experimentId = getExperimentId();
         this.jobStreamMap = new Map<string, ts.Stream>();
         this.log.info('Construct local machine training service.');
         this.occupiedGpuIndexNumMap = new Map<number, number>();
@@ -400,6 +402,7 @@ class LocalTrainingService implements TrainingService {
         resource: { gpuIndices: number[] }): { key: string; value: string }[] {
         const envVariables: { key: string; value: string }[] = [
             { key: 'NNI_PLATFORM', value: 'local' },
+            { key: 'NNI_EXP_ID', value: this.experimentId },
             { key: 'NNI_SYS_DIR', value: trialJobDetail.workingDirectory },
             { key: 'NNI_TRIAL_JOB_ID', value: trialJobDetail.id },
             { key: 'NNI_OUTPUT_DIR', value: trialJobDetail.workingDirectory },

src/sdk/pynni/nni/env_vars.py

@@ -24,6 +24,7 @@ from collections import namedtuple
 
 _trial_env_var_names = [
     'NNI_PLATFORM',
+    'NNI_EXP_ID',
     'NNI_TRIAL_JOB_ID',
     'NNI_SYS_DIR',
     'NNI_OUTPUT_DIR',

src/sdk/pynni/nni/platform/local.py

@@ -94,9 +94,11 @@ def send_metric(string):
         else:
             subprocess.run(['touch', _metric_file.name], check = True)
 
-def get_sequence_id():
-    return trial_env_vars.NNI_TRIAL_SEQ_ID
+def get_experiment_id():
+    return trial_env_vars.NNI_EXP_ID
 
 def get_trial_id():
     return trial_env_vars.NNI_TRIAL_JOB_ID
-    
+
\ No newline at end of file
+def get_sequence_id():
+    return trial_env_vars.NNI_TRIAL_SEQ_ID

src/sdk/pynni/nni/platform/standalone.py

@@ -25,12 +25,15 @@ import json_tricks
 def get_next_parameter():
     pass
 
-def get_sequence_id():
+def get_experiment_id():
     pass
 
 def get_trial_id():
     pass
 
+def get_sequence_id():
+    pass
+
 def send_metric(string):
     metric = json_tricks.loads(string)
     if metric['type'] == 'FINAL':

src/sdk/pynni/nni/trial.py

@@ -30,14 +30,16 @@ __all__ = [
     'get_current_parameter',
     'report_intermediate_result',
     'report_final_result',
+    'get_experiment_id',
+    'get_trial_id',
     'get_sequence_id',
-    'get_trial_id'
 ]
 
 
 _params = None
-_sequence_id = platform.get_sequence_id()
+_experiment_id = platform.get_experiment_id()
 _trial_id = platform.get_trial_id()
+_sequence_id = platform.get_sequence_id()
 
 
 def get_next_parameter():
@@ -54,12 +56,15 @@ def get_current_parameter(tag):
         return None
     return _params['parameters'][tag]
 
-def get_sequence_id():
-    return _sequence_id
+def get_experiment_id():
+    return _experiment_id
 
 def get_trial_id():
     return _trial_id
 
+def get_sequence_id():
+    return _sequence_id
+
 _intermediate_seq = 0
 
 def report_intermediate_result(metric):