222 lines
7.6 KiB
Python
222 lines
7.6 KiB
Python
import os
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import threading
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from contextlib import contextmanager
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from functools import wraps
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from typing import Any, Callable, Optional, Tuple, TypeVar, cast, overload
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from ray._private.auto_init_hook import auto_init_ray
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F = TypeVar("F", bound=Callable[..., Any])
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# Attr set on func defs to mark they have been converted to client mode.
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RAY_CLIENT_MODE_ATTR = "__ray_client_mode_key__"
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# Global setting of whether client mode is enabled. This default to OFF,
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# but is enabled upon ray.client(...).connect() or in tests.
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is_client_mode_enabled = os.environ.get("RAY_CLIENT_MODE", "0") == "1"
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# When RAY_CLIENT_MODE == 1, we treat it as default enabled client mode
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# This is useful for testing
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is_client_mode_enabled_by_default = is_client_mode_enabled
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os.environ.update({"RAY_CLIENT_MODE": "0"})
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is_init_called = False
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# Local setting of whether to ignore client hook conversion. This defaults
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# to TRUE and is disabled when the underlying 'real' Ray function is needed.
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_client_hook_status_on_thread = threading.local()
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_client_hook_status_on_thread.status = True
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def _get_client_hook_status_on_thread():
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"""Get's the value of `_client_hook_status_on_thread`.
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Since `_client_hook_status_on_thread` is a thread-local variable, we may
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need to add and set the 'status' attribute.
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"""
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global _client_hook_status_on_thread
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if not hasattr(_client_hook_status_on_thread, "status"):
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_client_hook_status_on_thread.status = True
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return _client_hook_status_on_thread.status
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def _set_client_hook_status(val: bool):
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global _client_hook_status_on_thread
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_client_hook_status_on_thread.status = val
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def _disable_client_hook():
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global _client_hook_status_on_thread
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out = _get_client_hook_status_on_thread()
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_client_hook_status_on_thread.status = False
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return out
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def _explicitly_enable_client_mode():
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"""Force client mode to be enabled.
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NOTE: This should not be used in tests, use `enable_client_mode`.
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"""
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global is_client_mode_enabled
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is_client_mode_enabled = True
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def _explicitly_disable_client_mode():
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global is_client_mode_enabled
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is_client_mode_enabled = False
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@contextmanager
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def disable_client_hook():
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val = _disable_client_hook()
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try:
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yield None
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finally:
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_set_client_hook_status(val)
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@contextmanager
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def enable_client_mode():
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_explicitly_enable_client_mode()
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try:
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yield None
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finally:
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_explicitly_disable_client_mode()
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@overload
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def client_mode_hook(func: F) -> F:
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...
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@overload
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def client_mode_hook(*, local_only_kwargs: Tuple[str, ...] = ()) -> Callable[[F], F]:
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...
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def client_mode_hook(
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func: Optional[F] = None, *, local_only_kwargs: Tuple[str, ...] = ()
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):
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"""Decorator for whether to use the 'regular' ray version of a function,
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or the Ray Client version of that function.
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Args:
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func: This function. This is set when this function is used
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as a bare decorator.
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local_only_kwargs: Names of keyword arguments that apply only to the
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local (non-client) implementation. They are stripped before the
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call is redirected to the Ray Client, so the client API does not
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need to accept them. On the local path they pass through unchanged.
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as a decorator.
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Returns:
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The wrapped function that dispatches to the regular or client version.
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"""
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def decorator(func: F) -> F:
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from ray.util.client import ray
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@wraps(func)
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def wrapper(*args, **kwargs):
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# NOTE(hchen): DO NOT use "import" inside this function.
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# Because when it's called within a `__del__` method, this error
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# will be raised (see #35114):
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# ImportError: sys.meta_path is None, Python is likely shutting down.
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if client_mode_should_convert():
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# Legacy code
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# we only convert init function if RAY_CLIENT_MODE=1
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if func.__name__ != "init" or is_client_mode_enabled_by_default:
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if local_only_kwargs:
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kwargs = {
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k: v
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for k, v in kwargs.items()
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if k not in local_only_kwargs
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}
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return getattr(ray, func.__name__)(*args, **kwargs)
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return func(*args, **kwargs)
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return cast(F, wrapper)
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# Support both `@client_mode_hook` and
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# `@client_mode_hook(local_only_kwargs=...)` usage.
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if func is not None:
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return decorator(func)
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return decorator
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def client_mode_should_convert():
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"""Determines if functions should be converted to client mode."""
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# `is_client_mode_enabled_by_default` is used for testing with
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# `RAY_CLIENT_MODE=1`. This flag means all tests run with client mode.
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return (
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is_client_mode_enabled or is_client_mode_enabled_by_default
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) and _get_client_hook_status_on_thread()
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def client_mode_wrap(func):
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"""Wraps a function called during client mode for execution as a remote
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task.
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Can be used to implement public features of ray client which do not
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belong in the main ray API (`ray.*`), yet require server-side execution.
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An example is the creation of placement groups:
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`ray.util.placement_group.placement_group()`. When called on the client
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side, this function is wrapped in a task to facilitate interaction with
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the GCS.
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"""
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@wraps(func)
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def wrapper(*args, **kwargs):
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from ray.util.client import ray
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auto_init_ray()
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# Directly pass this through since `client_mode_wrap` is for
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# Placement Group APIs
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if client_mode_should_convert():
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f = ray.remote(num_cpus=0)(func)
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ref = f.remote(*args, **kwargs)
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return ray.get(ref)
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return func(*args, **kwargs)
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return wrapper
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def client_mode_convert_function(func_cls, in_args, in_kwargs, **kwargs):
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"""Runs a preregistered ray RemoteFunction through the ray client.
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The common case for this is to transparently convert that RemoteFunction
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to a ClientRemoteFunction. This happens in circumstances where the
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RemoteFunction is declared early, in a library and only then is Ray used in
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client mode -- necessitating a conversion.
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"""
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from ray.util.client import ray
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key = getattr(func_cls, RAY_CLIENT_MODE_ATTR, None)
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# Second part of "or" is needed in case func_cls is reused between Ray
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# client sessions in one Python interpreter session.
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if (key is None) or (not ray._converted_key_exists(key)):
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key = ray._convert_function(func_cls)
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setattr(func_cls, RAY_CLIENT_MODE_ATTR, key)
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client_func = ray._get_converted(key)
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return client_func._remote(in_args, in_kwargs, **kwargs)
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def client_mode_convert_actor(actor_cls, in_args, in_kwargs, **kwargs):
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"""Runs a preregistered actor class on the ray client
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The common case for this decorator is for instantiating an ActorClass
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transparently as a ClientActorClass. This happens in circumstances where
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the ActorClass is declared early, in a library and only then is Ray used in
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client mode -- necessitating a conversion.
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"""
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from ray.util.client import ray
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key = getattr(actor_cls, RAY_CLIENT_MODE_ATTR, None)
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# Second part of "or" is needed in case actor_cls is reused between Ray
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# client sessions in one Python interpreter session.
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if (key is None) or (not ray._converted_key_exists(key)):
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key = ray._convert_actor(actor_cls)
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setattr(actor_cls, RAY_CLIENT_MODE_ATTR, key)
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client_actor = ray._get_converted(key)
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return client_actor._remote(in_args, in_kwargs, **kwargs)
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