in nni/tools/nnictl/config_utils.py [0:0]
def _inverse_cluster_metadata(platform: str, metadata_config: list) -> dict:
inverse_config = {}
if platform == 'local':
inverse_config['trial'] = {}
for kv in metadata_config:
if kv['key'] == 'local_config':
inverse_config['localConfig'] = kv['value']
elif kv['key'] == 'trial_config':
inverse_config['trial'] = kv['value']
elif platform == 'remote':
for kv in metadata_config:
if kv['key'] == 'machine_list':
inverse_config['machineList'] = kv['value']
elif kv['key'] == 'trial_config':
inverse_config['trial'] = kv['value']
elif kv['key'] == 'remote_config':
inverse_config['remoteConfig'] = kv['value']
elif platform == 'pai':
for kv in metadata_config:
if kv['key'] == 'pai_config':
inverse_config['paiConfig'] = kv['value']
elif kv['key'] == 'trial_config':
inverse_config['trial'] = kv['value']
elif platform == 'kubeflow':
for kv in metadata_config:
if kv['key'] == 'kubeflow_config':
inverse_config['kubeflowConfig'] = kv['value']
elif kv['key'] == 'trial_config':
inverse_config['trial'] = kv['value']
elif platform == 'frameworkcontroller':
for kv in metadata_config:
if kv['key'] == 'frameworkcontroller_config':
inverse_config['frameworkcontrollerConfig'] = kv['value']
elif kv['key'] == 'trial_config':
inverse_config['trial'] = kv['value']
elif platform == 'aml':
for kv in metadata_config:
if kv['key'] == 'aml_config':
inverse_config['amlConfig'] = kv['value']
elif kv['key'] == 'trial_config':
inverse_config['trial'] = kv['value']
elif platform == 'dlc':
for kv in metadata_config:
if kv['key'] == 'dlc_config':
inverse_config['dlcConfig'] = kv['value']
elif kv['key'] == 'trial_config':
inverse_config['trial'] = kv['value']
elif platform == 'adl':
for kv in metadata_config:
if kv['key'] == 'adl_config':
inverse_config['adlConfig'] = kv['value']
elif kv['key'] == 'trial_config':
inverse_config['trial'] = kv['value']
else:
raise RuntimeError('training service platform {} not found'.format(platform))
return inverse_config