145 lines
4.6 KiB
Python
145 lines
4.6 KiB
Python
import threading
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from typing import TYPE_CHECKING, Any, Dict, Optional
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from ray.train._internal import session
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from ray.train._internal.storage import StorageContext
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from ray.train.constants import (
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V2_MIGRATION_GUIDE_MESSAGE,
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_v2_migration_warnings_enabled,
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)
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from ray.train.utils import _copy_doc, _log_deprecation_warning
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from ray.util.annotations import Deprecated, DeveloperAPI, PublicAPI
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if TYPE_CHECKING:
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from ray.tune.execution.placement_groups import PlacementGroupFactory
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# The context singleton on this process.
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_default_context: "Optional[TrainContext]" = None
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_context_lock = threading.Lock()
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_GET_METADATA_DEPRECATION_MESSAGE = (
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"`get_metadata` was an experimental API that accessed the metadata passed "
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"to `<Framework>Trainer(metadata=...)`. This API can be replaced by passing "
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"the metadata directly to the training function (e.g., via `train_loop_config`). "
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f"{V2_MIGRATION_GUIDE_MESSAGE}"
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)
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_TUNE_SPECIFIC_CONTEXT_DEPRECATION_MESSAGE = (
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"`{}` is deprecated because the concept of a `Trial` will "
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"soon be removed in Ray Train."
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"Ray Train will no longer assume that it's running within a Ray Tune `Trial` "
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"in the future. "
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f"{V2_MIGRATION_GUIDE_MESSAGE}"
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)
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@PublicAPI(stability="stable")
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class TrainContext:
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"""Context containing metadata that can be accessed within Ray Train workers."""
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@_copy_doc(session.get_experiment_name)
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def get_experiment_name(self) -> str:
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return session.get_experiment_name()
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@_copy_doc(session.get_world_size)
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def get_world_size(self) -> int:
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return session.get_world_size()
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@_copy_doc(session.get_world_rank)
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def get_world_rank(self) -> int:
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return session.get_world_rank()
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@_copy_doc(session.get_local_rank)
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def get_local_rank(self) -> int:
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return session.get_local_rank()
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@_copy_doc(session.get_local_world_size)
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def get_local_world_size(self) -> int:
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return session.get_local_world_size()
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@_copy_doc(session.get_node_rank)
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def get_node_rank(self) -> int:
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return session.get_node_rank()
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@DeveloperAPI
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@_copy_doc(session.get_storage)
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def get_storage(self) -> StorageContext:
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return session.get_storage()
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# Deprecated APIs
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@Deprecated(
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message=_GET_METADATA_DEPRECATION_MESSAGE,
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warning=_v2_migration_warnings_enabled(),
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)
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@_copy_doc(session.get_metadata)
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def get_metadata(self) -> Dict[str, Any]:
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return session.get_metadata()
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@Deprecated(
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message=_TUNE_SPECIFIC_CONTEXT_DEPRECATION_MESSAGE.format("get_trial_name"),
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warning=_v2_migration_warnings_enabled(),
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)
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@_copy_doc(session.get_trial_name)
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def get_trial_name(self) -> str:
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return session.get_trial_name()
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@Deprecated(
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message=_TUNE_SPECIFIC_CONTEXT_DEPRECATION_MESSAGE.format("get_trial_id"),
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warning=_v2_migration_warnings_enabled(),
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)
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@_copy_doc(session.get_trial_id)
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def get_trial_id(self) -> str:
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return session.get_trial_id()
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@Deprecated(
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message=_TUNE_SPECIFIC_CONTEXT_DEPRECATION_MESSAGE.format(
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"get_trial_resources"
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),
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warning=_v2_migration_warnings_enabled(),
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)
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@_copy_doc(session.get_trial_resources)
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def get_trial_resources(self) -> "PlacementGroupFactory":
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return session.get_trial_resources()
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@Deprecated(
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message=_TUNE_SPECIFIC_CONTEXT_DEPRECATION_MESSAGE.format("get_trial_dir"),
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warning=_v2_migration_warnings_enabled(),
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)
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@_copy_doc(session.get_trial_dir)
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def get_trial_dir(self) -> str:
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return session.get_trial_dir()
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@PublicAPI(stability="stable")
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def get_context() -> TrainContext:
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"""Get or create a singleton training context.
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The context is only available within a function passed to Ray Train.
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See the :class:`~ray.train.TrainContext` API reference to see available methods.
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"""
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from ray.tune.trainable.trainable_fn_utils import _in_tune_session
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# If we are running in a Tune function, switch to Tune context.
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if _in_tune_session():
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from ray.tune import get_context as get_tune_context
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if _v2_migration_warnings_enabled():
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_log_deprecation_warning(
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"`ray.train.get_context()` should be switched to "
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"`ray.tune.get_context()` when running in a function "
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"passed to Ray Tune. This will be an error in the future. "
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f"{V2_MIGRATION_GUIDE_MESSAGE}"
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)
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return get_tune_context()
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global _default_context
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with _context_lock:
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if _default_context is None:
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_default_context = TrainContext()
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return _default_context
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