File size: 11,778 Bytes
b84549f |
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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 |
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
import copy
import logging
from .common import ExperimentConfig, AlgorithmConfig, CustomAlgorithmConfig
from .remote import RemoteMachineConfig
from .kubeflow import KubeflowRoleConfig, KubeflowNfsConfig, KubeflowAzureStorageConfig
from .frameworkcontroller import FrameworkControllerRoleConfig
from .shared_storage import NfsConfig, AzureBlobConfig
from . import util
_logger = logging.getLogger(__name__)
def to_v2(v1) -> ExperimentConfig:
v1 = copy.deepcopy(v1)
platform = v1.pop('trainingServicePlatform')
assert platform in ['local', 'remote', 'openpai', 'aml']
v2 = ExperimentConfig(platform)
_drop_field(v1, 'authorName')
_move_field(v1, v2, 'experimentName', 'experiment_name')
_drop_field(v1, 'description')
_move_field(v1, v2, 'trialConcurrency', 'trial_concurrency')
_move_field(v1, v2, 'maxExecDuration', 'max_experiment_duration')
if isinstance(v2.max_experiment_duration, (int, float)):
v2.max_experiment_duration = str(v2.max_experiment_duration) + 's'
_move_field(v1, v2, 'maxTrialNum', 'max_trial_number')
_move_field(v1, v2, 'searchSpacePath', 'search_space_file')
assert not v1.pop('multiPhase', None), 'Multi-phase is no longer supported'
_deprecate(v1, v2, 'multiThread')
_move_field(v1, v2, 'nniManagerIp', 'nni_manager_ip')
_move_field(v1, v2, 'logDir', 'experiment_working_directory')
_move_field(v1, v2, 'debug', 'debug')
_deprecate(v1, v2, 'versionCheck')
_move_field(v1, v2, 'logLevel', 'log_level')
_deprecate(v1, v2, 'logCollection')
v1.pop('useAnnotation', None) # TODO: how to handle annotation in nni.Experiment?
if 'trial' in v1:
v1_trial = v1.pop('trial')
_move_field(v1_trial, v2, 'command', 'trial_command')
_move_field(v1_trial, v2, 'codeDir', 'trial_code_directory')
_move_field(v1_trial, v2, 'gpuNum', 'trial_gpu_number')
for algo_type in ['tuner', 'assessor', 'advisor']:
if algo_type in v1:
convert_algo(algo_type, v1, v2)
ts = v2.training_service
if platform == 'local':
local_config = v1.pop('localConfig', {})
_move_field(local_config, ts, 'gpuIndices', 'gpu_indices')
_move_field(local_config, ts, 'maxTrialNumPerGpu', 'max_trial_number_per_gpu')
_move_field(local_config, ts, 'useActiveGpu', 'use_active_gpu')
assert not local_config, local_config
if platform == 'remote':
remote_config = v1.pop('remoteConfig', {})
_move_field(remote_config, ts, 'reuse', 'reuse_mode')
assert not remote_config, remote_config
ts.machine_list = []
for v1_machine in v1.pop('machineList'):
v2_machine = RemoteMachineConfig()
ts.machine_list.append(v2_machine)
_move_field(v1_machine, v2_machine, 'ip', 'host')
_move_field(v1_machine, v2_machine, 'port', 'port')
_move_field(v1_machine, v2_machine, 'username', 'user')
_move_field(v1_machine, v2_machine, 'sshKeyPath', 'ssh_key_file')
_move_field(v1_machine, v2_machine, 'passphrase', 'ssh_passphrase')
_move_field(v1_machine, v2_machine, 'gpuIndices', 'gpu_indices')
_move_field(v1_machine, v2_machine, 'maxTrialNumPerGpu', 'max_trial_number_per_gpu')
_move_field(v1_machine, v2_machine, 'useActiveGpu', 'use_active_gpu')
_move_field(v1_machine, v2_machine, 'pythonPath', 'python_path')
_move_field(v1_machine, v2_machine, 'passwd', 'password')
assert not v1_machine, v1_machine
if platform == 'openpai':
_move_field(v1_trial, ts, 'nniManagerNFSMountPath', 'local_storage_mount_point')
_move_field(v1_trial, ts, 'containerNFSMountPath', 'container_storage_mount_point')
_move_field(v1_trial, ts, 'cpuNum', 'trial_cpu_number')
if 'memoryMB' in v1_trial:
ts.trial_memory_size = str(v1_trial.pop('memoryMB')) + 'mb'
_move_field(v1_trial, ts, 'image', 'docker_image')
_deprecate(v1_trial, v2, 'virtualCluster')
_move_field(v1_trial, ts, 'paiStorageConfigName', 'storage_config_name')
_move_field(v1_trial, ts, 'paiConfigPath', 'openpaiConfigFile')
pai_config = v1.pop('paiConfig')
_move_field(pai_config, ts, 'userName', 'username')
_deprecate(pai_config, v2, 'password')
_move_field(pai_config, ts, 'token', 'token')
_move_field(pai_config, ts, 'host', 'host')
_move_field(pai_config, ts, 'reuse', 'reuse_mode')
_move_field(pai_config, ts, 'gpuNum', 'trial_gpu_number')
_move_field(pai_config, ts, 'cpuNum', 'trial_cpu_number')
if 'memoryMB' in pai_config:
ts.trial_memory_size = str(pai_config.pop('memoryMB')) + 'mb'
_deprecate(pai_config, v2, 'maxTrialNumPerGpu')
_deprecate(pai_config, v2, 'useActiveGpu')
assert not pai_config, pai_config
if platform == 'aml':
_move_field(v1_trial, ts, 'image', 'docker_image')
aml_config = v1.pop('amlConfig', {})
_move_field(aml_config, ts, 'subscriptionId', 'subscription_id')
_move_field(aml_config, ts, 'resourceGroup', 'resource_group')
_move_field(aml_config, ts, 'workspaceName', 'workspace_name')
_move_field(aml_config, ts, 'computeTarget', 'compute_target')
_move_field(aml_config, ts, 'maxTrialNumPerGpu', 'max_trial_number_per_gpu')
_deprecate(aml_config, v2, 'useActiveGpu')
assert not aml_config, aml_config
if platform == 'kubeflow':
kf_config = v1.pop('kubeflowConfig')
_move_field(kf_config, ts, 'operator', 'operator')
ps_name = 'ps' if ts.operator != 'pytorch-operator' else 'master'
_move_field(kf_config, ts, 'apiVersion', 'api_version')
# FIXME: use storage service
storage_name = kf_config.pop('storage', None)
if storage_name is None:
storage_name = 'nfs' if 'nfs' in kf_config else 'azureStorage'
if storage_name == 'nfs':
nfs = kf_config.pop('nfs')
ts.storage = KubeflowNfsConfig(server=nfs['server'], path=nfs['path'])
if storage_name == 'azureStorage':
key_vault = kf_config.pop('keyVault')
azure_storage = kf_config.pop('azureStorage')
ts.storage = KubeflowAzureStorageConfig(
azure_account=azure_storage['accountName'],
azure_share=azure_storage['azureShare'],
key_vault=key_vault['vaultName'],
key_vault_secret=key_vault['name']
)
_deprecate(kf_config, v2, 'uploadRetryCount')
assert not kf_config, kf_config
_drop_field(v1_trial, 'nasMode')
for role_name in [ps_name, 'worker']:
if role_name not in v1_trial:
continue
v1_role = v1_trial.pop(role_name)
v2_role = KubeflowRoleConfig()
if role_name == 'worker':
ts.worker = v2_role
else:
ts.parameter_server = v2_role
_move_field(v1_role, v2_role, 'replicas', 'replicas')
_move_field(v1_role, v2_role, 'command', 'command')
_move_field(v1_role, v2_role, 'gpu_num', 'gpu_number')
_move_field(v1_role, v2_role, 'cpu_num', 'cpu_number')
v2_role.memory_size = str(v1_role.pop('memoryMB')) + 'mb'
_move_field(v1_role, v2_role, 'image', 'docker_image')
_deprecate(v1_role, v2, 'privateRegistryAuthPath')
assert not v1_role, v1_role
if platform == 'frameworkcontroller':
fc_config = v1.pop('frameworkcontroller')
_deprecate(fc_config, v2, 'serviceAccountName')
storage_name = fc_config.pop('storage', None)
if storage_name is None:
storage_name = 'nfs' if 'nfs' in fc_config else 'azureStorage'
if storage_name == 'nfs':
nfs = fc_config.pop('nfs')
ts.storage = KubeflowNfsConfig(server=nfs['server'], path=nfs['path'])
if storage_name == 'azureStorage':
key_vault = fc_config.pop('keyVault')
azure_storage = fc_config.pop('azureStorage')
ts.storage = KubeflowAzureStorageConfig(
azure_account=azure_storage['accountName'],
azure_share=azure_storage['azureShare'],
key_vault=key_vault['vaultName'],
key_vault_secret=key_vault['name']
)
_deprecate(fc_config, v2, 'uploadRetryCount')
assert not fc_config, fc_config
_drop_field(v1_trial, 'nasMode')
ts.task_roles = []
for v1_role in v1_trial.pop('taskRoles', []):
v2_role = FrameworkControllerRoleConfig()
ts.task_roles.append(v2_role)
_move_field(v1_role, v2_role, 'name', 'name')
_move_field(v1_role, v2_role, 'taskNum', 'task_number')
policy = v1_role.pop('frameworkControllerCompletionPolicy', {})
_move_field(policy, v2_role, 'minFailedTaskCount', 'attempt_completion_min_failed_tasks')
_move_field(policy, v2_role, 'minSucceededTaskCount', 'attempt_completion_min_succeeded_tasks')
_move_field(v1_role, v2_role, 'command', 'command')
_move_field(v1_role, v2_role, 'gpuNum', 'gpu_number')
_move_field(v1_role, v2_role, 'cpuNum', 'cpu_number')
v2_role.memory_size = str(v1_role.pop('memoryMB')) + 'mb'
_move_field(v1_role, v2_role, 'image', 'docker_image')
_deprecate(v1_role, v2, 'privateRegistryAuthPath')
assert not v1_role, v1_role
# hybrid mode should always use v2 schema, so no need to handle here
v1_storage = v1.pop('sharedStorage', None)
if v1_storage:
type_ = v1_storage.pop('storageType')
if type_ == 'NFS':
v2.shared_storage = NfsConfig(**v1_storage)
elif type_ == 'AzureBlob':
v2.shared_storage = AzureBlobConfig(**v1_storage)
else:
raise ValueError(f'bad storage type: {type_}')
assert not v1_trial, v1_trial
assert not v1, v1
return v2.canonical()
def _move_field(v1, v2, v1_key, v2_key):
if v1_key in v1:
value = v1.pop(v1_key, None)
if value is not None:
setattr(v2, v2_key, value)
def _drop_field(v1, key):
if key in v1:
logging.warning(f'Configuration field {key} is no longer supported and has been ignored')
v1.pop(key)
# NOTE: fields not yet supported by v2 are also (temporarily) placed here
def _deprecate(v1, v2, key):
if key in v1:
if v2._deprecated is None:
v2._deprecated = {}
v2._deprecated[key] = v1.pop(key)
def convert_algo(algo_type, v1, v2):
if algo_type not in v1:
return None
v1_algo = v1.pop(algo_type)
builtin_name = v1_algo.pop(f'builtin{algo_type.title()}Name', None)
class_args = v1_algo.pop('classArgs', None)
if builtin_name is not None:
v2_algo = AlgorithmConfig(name=builtin_name, class_args=class_args)
else:
code_directory = util.canonical_path(v1_algo.pop('codeDir'))
class_file_name = v1_algo.pop('classFileName')
assert class_file_name.endswith('.py')
class_name = class_file_name[:-3] + '.' + v1_algo.pop('className')
v2_algo = CustomAlgorithmConfig(
class_name=class_name,
code_directory=code_directory,
class_args=class_args
)
setattr(v2, algo_type, v2_algo)
_deprecate(v1_algo, v2, 'includeIntermediateResults')
_move_field(v1_algo, v2, 'gpuIndices', 'tuner_gpu_indices')
assert not v1_algo, v1_algo
return v2_algo
|