ray/python/ray/__init__.py

163 lines
4 KiB
Python

import os
import logging
from os.path import dirname
import sys
logger = logging.getLogger(__name__)
# MUST add pickle5 to the import path because it will be imported by some
# raylet modules.
if "pickle5" in sys.modules:
raise ImportError("Ray must be imported before pickle5 because Ray "
"requires a specific version of pickle5 (which is "
"packaged along with Ray).")
if "OMP_NUM_THREADS" not in os.environ:
logger.debug("[ray] Forcing OMP_NUM_THREADS=1 to avoid performance "
"degradation with many workers (issue #6998). You can "
"override this by explicitly setting OMP_NUM_THREADS.")
os.environ["OMP_NUM_THREADS"] = "1"
# Add the directory containing pickle5 to the Python path so that we find the
# pickle5 version packaged with ray and not a pre-existing pickle5.
pickle5_path = os.path.join(
os.path.abspath(os.path.dirname(__file__)), "pickle5_files")
sys.path.insert(0, pickle5_path)
# Importing psutil & setproctitle. Must be before ray._raylet is initialized.
thirdparty_files = os.path.join(
os.path.abspath(os.path.dirname(__file__)), "thirdparty_files")
sys.path.insert(0, thirdparty_files)
# Expose ray ABI symbols which may be dependent by other shared
# libraries such as _streaming.so. See BUILD.bazel:_raylet
python_shared_lib_suffix = ".so" if sys.platform != "win32" else ".pyd"
so_path = os.path.join(dirname(__file__), "_raylet" + python_shared_lib_suffix)
if os.path.exists(so_path):
import ctypes
from ctypes import CDLL
CDLL(so_path, ctypes.RTLD_GLOBAL)
import ray._raylet # noqa: E402
# See https://github.com/ray-project/ray/issues/131.
helpful_message = """
If you are using Anaconda, try fixing this problem by running:
conda install libgcc
"""
from ray._raylet import (
ActorCheckpointID,
ActorClassID,
ActorID,
ClientID,
Config as _Config,
JobID,
WorkerID,
FunctionID,
ObjectID,
TaskID,
UniqueID,
Language,
) # noqa: E402
_config = _Config()
from ray.profiling import profile # noqa: E402
from ray.state import (jobs, nodes, actors, tasks, objects, timeline,
object_transfer_timeline, cluster_resources,
available_resources, errors) # noqa: E402
from ray.worker import (
LOCAL_MODE,
SCRIPT_MODE,
WORKER_MODE,
connect,
disconnect,
get,
get_gpu_ids,
get_resource_ids,
get_webui_url,
init,
is_initialized,
put,
kill,
register_custom_serializer,
remote,
shutdown,
show_in_webui,
wait,
) # noqa: E402
import ray.internal # noqa: E402
import ray.projects # noqa: E402
# We import ray.actor because some code is run in actor.py which initializes
# some functions in the worker.
import ray.actor # noqa: F401
from ray.actor import method # noqa: E402
from ray.runtime_context import _get_runtime_context # noqa: E402
from ray.cross_language import java_function, java_actor_class # noqa: E402
from ray import util # noqa: E402
# Replaced with the current commit when building the wheels.
__commit__ = "{{RAY_COMMIT_SHA}}"
__version__ = "0.9.0.dev0"
__all__ = [
"jobs",
"nodes",
"actors",
"tasks",
"objects",
"timeline",
"object_transfer_timeline",
"cluster_resources",
"available_resources",
"errors",
"LOCAL_MODE",
"PYTHON_MODE",
"SCRIPT_MODE",
"WORKER_MODE",
"__version__",
"_config",
"_get_runtime_context",
"actor",
"connect",
"disconnect",
"get",
"get_gpu_ids",
"get_resource_ids",
"get_webui_url",
"init",
"internal",
"is_initialized",
"method",
"profile",
"projects",
"put",
"kill",
"register_custom_serializer",
"remote",
"shutdown",
"show_in_webui",
"wait",
"Language",
"java_function",
"java_actor_class",
"util",
]
# ID types
__all__ += [
"ActorCheckpointID",
"ActorClassID",
"ActorID",
"ClientID",
"JobID",
"WorkerID",
"FunctionID",
"ObjectID",
"TaskID",
"UniqueID",
]