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- import ray._private.worker
- try:
- from ray.serve._private.logging_utils import configure_default_serve_logger
- from ray.serve.api import (
- Application,
- Deployment,
- RunTarget,
- _run,
- _run_many,
- delete,
- deployment,
- get_app_handle,
- get_deployment_handle,
- get_multiplexed_model_id,
- get_replica_context,
- ingress,
- multiplexed,
- run,
- run_many,
- shutdown,
- shutdown_async,
- start,
- status,
- )
- from ray.serve.batching import batch
- from ray.serve.config import HTTPOptions
- except ModuleNotFoundError as e:
- e.msg += (
- '. You can run `pip install "ray[serve]"` to install all Ray Serve'
- " dependencies."
- )
- raise e
- # Setup default ray.serve logger to ensure all serve module logs are captured.
- configure_default_serve_logger()
- # Mute the warning because Serve sometimes intentionally calls
- # ray.get inside async actors.
- ray._private.worker.blocking_get_inside_async_warned = True
- __all__ = [
- "_run",
- "_run_many",
- "batch",
- "start",
- "HTTPOptions",
- "get_replica_context",
- "shutdown",
- "shutdown_async",
- "ingress",
- "deployment",
- "run",
- "run_many",
- "RunTarget",
- "delete",
- "Application",
- "Deployment",
- "multiplexed",
- "get_multiplexed_model_id",
- "status",
- "get_app_handle",
- "get_deployment_handle",
- ]
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