Pluggable Scheduler

.vscode/settings.json

@@ -68,6 +68,15 @@
             ],
             "url": "./mlos_bench/mlos_bench/config/schemas/optimizers/optimizer-schema.json"
         },
+        {
+            "fileMatch": [
+                "mlos_bench/mlos_bench/tests/config/schemas/schedulers/test-cases/**/*.jsonc",
+                "mlos_bench/mlos_bench/tests/config/schemas/schedulers/test-cases/**/*.json",
+                "mlos_bench/mlos_bench/config/schedulers/**/*.jsonc",
+                "mlos_bench/mlos_bench/config/schedulers/**/*.json"
+            ],
+            "url": "./mlos_bench/mlos_bench/config/schemas/schedulers/scheduler-schema.json"
+        },
         {
             "fileMatch": [
                 "mlos_bench/mlos_bench/tests/config/schemas/storage/test-cases/**/*.jsonc",

mlos_bench/mlos_bench/config/schedulers/sync_scheduler.jsonc

@@ -0,0 +1,11 @@
+// Mock optimizer to test the benchmarking framework.
+{
+    "$schema": "https://raw.githubusercontent.com/microsoft/MLOS/main/mlos_bench/mlos_bench/config/schemas/schedulers/scheduler-schema.json",
+
+    "class": "mlos_bench.schedulers.SyncScheduler",
+
+    "config": {
+        "trial_config_repeat_count": 3,
+        "teardown": false
+    }
+}

mlos_bench/mlos_bench/config/schemas/config_schemas.py

@@ -106,6 +106,7 @@ class ConfigSchema(Enum):
     GLOBALS = path_join(CONFIG_SCHEMA_DIR, "cli/globals-schema.json")
     ENVIRONMENT = path_join(CONFIG_SCHEMA_DIR, "environments/environment-schema.json")
     OPTIMIZER = path_join(CONFIG_SCHEMA_DIR, "optimizers/optimizer-schema.json")
+    SCHEDULER = path_join(CONFIG_SCHEMA_DIR, "schedulers/scheduler-schema.json")
     SERVICE = path_join(CONFIG_SCHEMA_DIR, "services/service-schema.json")
     STORAGE = path_join(CONFIG_SCHEMA_DIR, "storage/storage-schema.json")
     TUNABLE_PARAMS = path_join(CONFIG_SCHEMA_DIR, "tunables/tunable-params-schema.json")

mlos_bench/mlos_bench/config/schemas/mlos-bench-config-schema.json

@@ -47,6 +47,11 @@
                 "type": "object",
                 "$ref": "./optimizers/optimizer-schema.json"
             },
+            {
+                "description": "scheduler config",
+                "type": "object",
+                "$ref": "./schedulers/scheduler-schema.json"
+            },
             {
                 "description": "service config",
                 "type": "object",

mlos_bench/mlos_bench/config/schemas/schedulers/scheduler-schema.json

@@ -0,0 +1,100 @@
+{
+    "$schema": "https://json-schema.org/draft/2020-12/schema",
+    "$id": "https://raw.githubusercontent.com/microsoft/MLOS/main/mlos_bench/mlos_bench/config/schemas/schedulers/scheduler-schema.json",
+    "title": "mlos_bench Scheduler config",
+
+    "$defs": {
+        "comment": {
+            "$comment": "This section contains reusable partial schema bits (or just split out for readability)"
+        },
+
+        "config_base_scheduler": {
+            "$comment": "config properties common to all Scheduler types.",
+            "type": "object",
+            "properties": {
+                "experiment_id": {
+                    "$ref": "../cli/common-defs-subschemas.json#/$defs/experiment_id"
+                },
+                "trial_id": {
+                    "$ref": "../cli/common-defs-subschemas.json#/$defs/trial_id"
+                },
+                "config_id": {
+                    "$ref": "../cli/common-defs-subschemas.json#/$defs/config_id"
+                },
+                "teardown": {
+                    "description": "Whether to teardown the experiment after running it.",
+                    "type": "boolean"
+                },
+                "trial_config_repeat_count": {
+                    "description": "Number of times to repeat a config.",
+                    "type": "integer",
+                    "minimum": 1,
+                    "examples": [3, 5]
+                }
+            }
+        }
+    },
+
+    "description": "config for the mlos_bench scheduler",
+    "$comment": "top level schema document rules",
+    "type": "object",
+    "properties": {
+        "$schema": {
+            "description": "The schema to use for validating the scheduler config (accepts both URLs and local paths).",
+            "type": "string",
+            "$comment": "This is optional, but if provided, should match the name of this file.",
+            "pattern": "/schemas/schedulers/scheduler-schema.json$"
+        },
+
+        "description": {
+            "description": "Optional description of the config.",
+            "type": "string"
+        },
+
+        "class": {
+            "description": "The name of the scheduler class to use.",
+            "$comment": "required",
+            "enum": [
+                "mlos_bench.schedulers.SyncScheduler",
+                "mlos_bench.schedulers.sync_scheduler.SyncScheduler"
+            ]
+        },
+
+        "config": {
+            "description": "The scheduler-specific config.",
+            "$comment": "Stub for scheduler-specific config appended with condition statements below",
+            "type": "object",
+            "minProperties": 1
+        }
+    },
+    "required": ["class"],
+
+    "oneOf": [
+        {
+            "$comment": "extensions to the 'config' object properties when synchronous scheduler is being used",
+            "if": {
+                "properties": {
+                    "class": {
+                        "enum": [
+                            "mlos_bench.schedulers.SyncScheduler",
+                            "mlos_bench.schedulers.sync_scheduler.SyncScheduler"
+                        ]
+                    }
+                },
+                "required": ["class"]
+            },
+            "then": {
+                "properties": {
+                    "config": {
+                        "type": "object",
+                        "allOf": [{ "$ref": "#/$defs/config_base_scheduler" }],
+                        "$comment": "disallow other properties",
+                        "unevaluatedProperties": false
+                    }
+                }
+            },
+            "else": false
+        }
+    ],
+    "unevaluatedProperties": false
+}

mlos_bench/mlos_bench/launcher.py

@@ -34,6 +34,8 @@
 from mlos_bench.services.local.local_exec import LocalExecService
 from mlos_bench.services.config_persistence import ConfigPersistenceService
 
+from mlos_bench.schedulers.base_scheduler import Scheduler
+
 from mlos_bench.services.types.config_loader_type import SupportsConfigLoading
 
 
@@ -76,12 +78,6 @@ def __init__(self, description: str, long_text: str = "", argv: Optional[List[st
         else:
             config = {}
 
-        self.trial_config_repeat_count: int = (
-            args.trial_config_repeat_count or config.get("trial_config_repeat_count", 1)
-        )
-        if self.trial_config_repeat_count <= 0:
-            raise ValueError(f"Invalid trial_config_repeat_count: {self.trial_config_repeat_count}")
-
         log_level = args.log_level or config.get("log_level", _LOG_LEVEL)
         try:
             log_level = int(log_level)
@@ -109,12 +105,16 @@ def __init__(self, description: str, long_text: str = "", argv: Optional[List[st
         # It's useful to keep it there explicitly mostly for the --help output.
         if args.experiment_id:
             self.global_config['experiment_id'] = args.experiment_id
-        self.global_config = DictTemplater(self.global_config).expand_vars(use_os_env=True)
-        assert isinstance(self.global_config, dict)
+        # trial_config_repeat_count is a scheduler property but it's convenient to set it via command line
+        if args.trial_config_repeat_count:
+            self.global_config["trial_config_repeat_count"] = args.trial_config_repeat_count
         # Ensure that the trial_id is present since it gets used by some other
         # configs but is typically controlled by the run optimize loop.
         self.global_config.setdefault('trial_id', 1)
 
+        self.global_config = DictTemplater(self.global_config).expand_vars(use_os_env=True)
+        assert isinstance(self.global_config, dict)
+
         # --service cli args should override the config file values.
         service_files: List[str] = config.get("services", []) + (args.service or [])
         assert isinstance(self._parent_service, SupportsConfigLoading)
@@ -146,6 +146,8 @@ def __init__(self, description: str, long_text: str = "", argv: Optional[List[st
         _LOG.info("Init storage: %s", self.storage)
 
         self.teardown: bool = bool(args.teardown) if args.teardown is not None else bool(config.get("teardown", True))
+        self.scheduler = self._load_scheduler(args.scheduler or config.get("scheduler"))
+        _LOG.info("Init scheduler: %s", self.scheduler)
 
     @property
     def config_loader(self) -> ConfigPersistenceService:
@@ -203,9 +205,14 @@ def _parse_args(parser: argparse.ArgumentParser, argv: Optional[List[str]]) -> T
                  ' a single trial with default (or specified in --tunable_values).')
 
         parser.add_argument(
-            '--trial_config_repeat_count', '--trial-config-repeat-count', required=False, type=int, default=1,
+            '--trial_config_repeat_count', '--trial-config-repeat-count', required=False, type=int,
             help='Number of times to repeat each config. Default is 1 trial per config, though more may be advised.')
 
+        parser.add_argument(
+            '--scheduler', required=False,
+            help='Path to the scheduler configuration file. By default, use' +
+                 ' a single worker synchronous scheduler.')
+
         parser.add_argument(
             '--storage', required=False,
             help='Path to the storage configuration file.' +
@@ -337,17 +344,13 @@ def _load_optimizer(self, args_optimizer: Optional[str]) -> Optimizer:
         in the --optimizer command line option. If config file not specified,
         create a one-shot optimizer to run a single benchmark trial.
         """
-        if 'max_iterations' in self.global_config:
-            self.global_config['max_iterations'] *= self.trial_config_repeat_count
         if args_optimizer is None:
             # global_config may contain additional properties, so we need to
             # strip those out before instantiating the basic oneshot optimizer.
             config = {key: val for key, val in self.global_config.items() if key in OneShotOptimizer.BASE_SUPPORTED_CONFIG_PROPS}
             return OneShotOptimizer(
                 self.tunables, config=config, service=self._parent_service)
         class_config = self._config_loader.load_config(args_optimizer, ConfigSchema.OPTIMIZER)
-        if 'max_iterations' in class_config:
-            class_config['max_iterations'] *= self.trial_config_repeat_count
         assert isinstance(class_config, Dict)
         optimizer = self._config_loader.build_optimizer(tunables=self.tunables,
                                                         service=self._parent_service,
@@ -376,3 +379,41 @@ def _load_storage(self, args_storage: Optional[str]) -> Storage:
                                                     config=class_config,
                                                     global_config=self.global_config)
         return storage
+
+    def _load_scheduler(self, args_scheduler: Optional[str]) -> Scheduler:
+        """
+        Instantiate the Scheduler object from JSON file provided in the --scheduler
+        command line parameter.
+        Create a simple synchronous single-threaded scheduler if omitted.
+        """
+        # Set `teardown` for scheduler only to prevent conflicts with other configs.
+        global_config = self.global_config.copy()
+        global_config.setdefault("teardown", self.teardown)
+        if args_scheduler is None:
+            # pylint: disable=import-outside-toplevel
+            from mlos_bench.schedulers.sync_scheduler import SyncScheduler
+            return SyncScheduler(
+                # All config values can be overridden from global config
+                config={
+                    "experiment_id": "UNDEFINED - override from global config",
+                    "trial_id": 0,
+                    "config_id": -1,
+                    "trial_config_repeat_count": 1,
+                    "teardown": self.teardown,
+                },
+                global_config=self.global_config,
+                environment=self.environment,
+                optimizer=self.optimizer,
+                storage=self.storage,
+                root_env_config=self.root_env_config,
+            )
+        class_config = self._config_loader.load_config(args_scheduler, ConfigSchema.SCHEDULER)
+        assert isinstance(class_config, Dict)
+        return self._config_loader.build_scheduler(
+            config=class_config,
+            global_config=self.global_config,
+            environment=self.environment,
+            optimizer=self.optimizer,
+            storage=self.storage,
+            root_env_config=self.root_env_config,
+        )

mlos_bench/mlos_bench/run.py

@@ -16,7 +16,6 @@
 
 from mlos_bench.launcher import Launcher
 from mlos_bench.tunables.tunable_groups import TunableGroups
-from mlos_bench.schedulers.sync_scheduler import SyncScheduler
 
 _LOG = logging.getLogger(__name__)
 
@@ -25,27 +24,11 @@ def _main(argv: Optional[List[str]] = None) -> Tuple[Optional[float], Optional[T
 
     launcher = Launcher("mlos_bench", "Systems autotuning and benchmarking tool", argv=argv)
 
-    # TODO: Instantiate Scheduler from JSON config
-    scheduler = SyncScheduler(
-        config={
-            "experiment_id": "UNDEFINED - override from global config",
-            "trial_id": 0,    # Override from global config
-            "config_id": -1,  # Override from global config
-            "trial_config_repeat_count": launcher.trial_config_repeat_count,
-            "teardown": launcher.teardown,
-        },
-        global_config=launcher.global_config,
-        environment=launcher.environment,
-        optimizer=launcher.optimizer,
-        storage=launcher.storage,
-        root_env_config=launcher.root_env_config,
-    )
-
-    with scheduler as scheduler_context:
+    with launcher.scheduler as scheduler_context:
         scheduler_context.start()
         scheduler_context.teardown()
 
-    (score, _config) = result = scheduler.get_best_observation()
+    (score, _config) = result = launcher.scheduler.get_best_observation()
     # NOTE: This log line is used in test_launch_main_app_* unit tests:
     _LOG.info("Final score: %s", score)
     return result

mlos_bench/mlos_bench/schedulers/base_scheduler.py

@@ -42,14 +42,34 @@ def __init__(self, *,
         and the derived classes is called by the persistence service
         after reading the class JSON configuration. Other objects like
         the Environment and Optimizer are provided by the Launcher.
+
+        Parameters
+        ----------
+        config : dict
+            The configuration for the scheduler.
+        global_config : dict
+            he global configuration for the experiment.
+        environment : Environment
+            The environment to benchmark/optimize.
+        optimizer : Optimizer
+            The optimizer to use.
+        storage : Storage
+            The storage to use.
+        root_env_config : str
+            Path to the root environment configuration.
         """
         self.global_config = global_config
-        config = merge_parameters(dest=config.copy(), source=global_config)
+        config = merge_parameters(dest=config.copy(), source=global_config,
+                                  required_keys=["experiment_id", "trial_id"])
 
         self._experiment_id = config["experiment_id"].strip()
         self._trial_id = int(config["trial_id"])
         self._config_id = int(config.get("config_id", -1))
-        self._trial_config_repeat_count: int = config.get("trial_config_repeat_count", 1)
+
+        self._trial_config_repeat_count = int(config.get("trial_config_repeat_count", 1))
+        if self._trial_config_repeat_count <= 0:
+            raise ValueError(f"Invalid trial_config_repeat_count: {self._trial_config_repeat_count}")
+
         self._do_teardown = bool(config.get("teardown", True))
 
         self.experiment: Optional[Storage.Experiment] = None
@@ -58,11 +78,24 @@ def __init__(self, *,
         self.storage = storage
         self._root_env_config = root_env_config
 
+        _LOG.debug("Scheduler instantiated: %s :: %s", self, config)
+
+    def __repr__(self) -> str:
+        """
+        Produce a human-readable version of the Scheduler (mostly for logging).
+
+        Returns
+        -------
+        string : str
+            A human-readable version of the Scheduler.
+        """
+        return self.__class__.__name__
+
     def __enter__(self) -> 'Scheduler':
         """
         Enter the scheduler's context.
         """
-        _LOG.debug("Optimizer START :: %s", self)
+        _LOG.debug("Scheduler START :: %s", self)
         assert self.experiment is None
         self.environment.__enter__()
         self.optimizer.__enter__()