file_path stringlengths 3 280 | file_language stringclasses 66
values | content stringlengths 1 1.04M | repo_name stringlengths 5 92 | repo_stars int64 0 154k | repo_description stringlengths 0 402 | repo_primary_language stringclasses 108
values | developer_username stringlengths 1 25 | developer_name stringlengths 0 30 | developer_company stringlengths 0 82 |
|---|---|---|---|---|---|---|---|---|---|
python/ray/experimental/serve/tests/test_persistence.py | Python | import os
import subprocess
import tempfile
import ray
from ray.experimental import serve
def test_new_driver(serve_instance):
script = """
import ray
ray.init(address="auto")
from ray.experimental import serve
serve.init()
def function(flask_request):
return "OK!"
serve.create_endpoint("driver", "/drive... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/experimental/serve/tests/test_queue.py | Python | import pytest
import ray
from ray.experimental.serve.queues import RandomPolicyQueue
from ray.experimental.serve.queues import (RoundRobinPolicyQueue,
FixedPackingPolicyQueue)
@pytest.fixture(scope="session")
def task_runner_mock_actor():
@ray.remote
class TaskRunner... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/experimental/serve/tests/test_routing.py | Python | import os
import tempfile
from ray.experimental.serve.kv_store_service import (
InMemoryKVStore, RayInternalKVStore, SQLiteKVStore)
def test_default_in_memory_kv():
kv = InMemoryKVStore("")
kv.put("1", 2)
assert kv.get("1") == 2
kv.put("1", 3)
assert kv.get("1") == 3
assert kv.as_dict() =... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/experimental/serve/tests/test_task_runner.py | Python | import pytest
import ray
import ray.experimental.serve.context as context
from ray.experimental.serve.queues import RoundRobinPolicyQueueActor
from ray.experimental.serve.task_runner import (
RayServeMixin, TaskRunner, TaskRunnerActor, wrap_to_ray_error)
def test_runner_basic():
def echo(i):
return i... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/experimental/serve/tests/test_util.py | Python | import json
from ray.experimental.serve.utils import BytesEncoder
def test_bytes_encoder():
data_before = {"inp": {"nest": b"bytes"}}
data_after = {"inp": {"nest": "bytes"}}
assert json.loads(json.dumps(data_before, cls=BytesEncoder)) == data_after
| zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/experimental/serve/utils.py | Python | import json
import logging
import random
import string
import time
import io
import requests
from pygments import formatters, highlight, lexers
from ray.experimental.serve.context import FakeFlaskRequest, TaskContext
from ray.experimental.serve.http_util import build_flask_request
def parse_request_item(request_item... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/experimental/sgd/examples/cifar_pytorch_example.py | Python | import os
import torch
import torch.nn as nn
import argparse
from ray import tune
import torch.utils.data
from torch import distributed
from torch.utils.data.distributed import DistributedSampler
import torchvision
import torchvision.transforms as transforms
import ray
from ray.experimental.sgd.pytorch import (PyTorch... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/experimental/sgd/examples/cifar_tf_example.py | Python | """
#Train a simple deep CNN on the CIFAR10 small images dataset.
It gets to 75% validation accuracy in 25 epochs, and 79% after 50 epochs.
(it"s still underfitting at that point, though).
"""
import argparse
from tensorflow.keras.datasets import cifar10
from tensorflow.keras.preprocessing.image import ImageDataGener... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/experimental/sgd/examples/tensorflow_train_example.py | Python | import argparse
import tensorflow as tf
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense
import numpy as np
import ray
from ray import tune
from ray.experimental.sgd.tf.tf_trainer import TFTrainer, TFTrainable
NUM_TRAIN_SAMPLES = 1000
NUM_TEST_SAMPLES = 400
def create_config(... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/experimental/sgd/examples/train_example.py | Python | """
This file holds code for a Training guide for PytorchSGD in the documentation.
It ignores yapf because yapf doesn't allow comments right after code blocks,
but we put comments right after code blocks to prevent large white spaces
in the documentation.
"""
# yapf: disable
# __torch_train_example__
import argparse
... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/experimental/sgd/examples/tune_example.py | Python | # yapf: disable
"""
This file holds code for a Distributed Pytorch + Tune page in the docs.
It ignores yapf because yapf doesn't allow comments right after code blocks,
but we put comments right after code blocks to prevent large white spaces
in the documentation.
"""
# __torch_tune_example__
import numpy as np
impor... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/experimental/sgd/pytorch/__init__.py | Python | from ray.experimental.sgd.pytorch.pytorch_trainer import (PyTorchTrainer,
PyTorchTrainable)
__all__ = ["PyTorchTrainer", "PyTorchTrainable"]
| zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/experimental/sgd/pytorch/distributed_pytorch_runner.py | Python | import collections
from filelock import FileLock
import logging
import os
import torch.nn as nn
import torch.distributed as dist
import torch.utils.data
from torch.nn.parallel import DistributedDataParallel
from ray.experimental.sgd.pytorch.pytorch_runner import PyTorchRunner
logger = logging.getLogger(__name__)
cl... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/experimental/sgd/pytorch/examples/dcgan.py | Python | #!/usr/bin/env python
import argparse
import os
import torch
import torch.nn as nn
from torch import distributed
import torch.optim as optim
import torch.utils.data
import torchvision.datasets as dset
import torchvision.transforms as transforms
import numpy as np
from torch.autograd import Variable
from torch.nn impo... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/experimental/sgd/pytorch/pytorch_runner.py | Python | import collections
from filelock import FileLock
import logging
import os
import torch
import torch.utils.data
from torch.utils.data import DataLoader
import ray
from ray.experimental.sgd.pytorch import utils as pytorch_utils
from ray.experimental.sgd import utils
logger = logging.getLogger(__name__)
class PyTorchR... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/experimental/sgd/pytorch/pytorch_trainer.py | Python | import numpy as np
import os
import torch
import torch.distributed as dist
import logging
import numbers
import tempfile
import time
import ray
from ray.tune import Trainable
from ray.tune.trial import Resources
from ray.experimental.sgd.pytorch.distributed_pytorch_runner import (
DistributedPyTorchRunner)
from r... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/experimental/sgd/pytorch/resnet.py | Python | """ResNet in PyTorch.
Copied from https://github.com/kuangliu/pytorch-cifar/
blob/ab908327d44bf9b1d22cd333a4466e85083d3f21/models/resnet.py
"""
import torch.nn as nn
import torch.nn.functional as F
class BasicBlock(nn.Module):
expansion = 1
def __init__(self, in_planes, planes, stride=1):
... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/experimental/sgd/pytorch/utils.py | Python | import collections
import time
import torch
from ray.experimental.sgd.utils import TimerStat
def train(model, train_iterator, criterion, optimizer, config):
"""Runs 1 training epoch"""
if isinstance(model, collections.Iterable) or isinstance(
optimizer, collections.Iterable):
raise ValueE... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/experimental/sgd/tests/test_pytorch.py | Python | import os
import tempfile
from unittest.mock import patch
import pytest
import time
import torch
import torch.nn as nn
import torch.distributed as dist
import ray
from ray import tune
from ray.tests.conftest import ray_start_2_cpus # noqa: F401
from ray.experimental.sgd.pytorch import PyTorchTrainer, PyTorchTrainabl... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/experimental/sgd/tests/test_pytorch_runner.py | Python | import numpy as np
import torch
import torch.nn as nn
import unittest
from unittest.mock import MagicMock
from ray.experimental.sgd.pytorch.pytorch_runner import PyTorchRunner
class LinearDataset(torch.utils.data.Dataset):
"""y = a * x + b"""
def __init__(self, a, b, size=1000):
x = np.random.random... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/experimental/sgd/tests/test_tensorflow.py | Python | import os
import pytest
import tempfile
import numpy as np
import shutil
from ray import tune
from ray.tests.conftest import ray_start_2_cpus # noqa: F401
from ray.experimental.sgd.tf import TFTrainer, TFTrainable
from ray.experimental.sgd.examples.tensorflow_train_example import (
simple_model, simple_dataset)
... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/experimental/sgd/tf/__init__.py | Python | from ray.experimental.sgd.tf.tf_trainer import (TFTrainer, TFTrainable)
__all__ = ["TFTrainer", "TFTrainable"]
| zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/experimental/sgd/tf/tf_runner.py | Python | import logging
import json
import os
import numpy as np
import ray
import ray.services
from ray.experimental.sgd import utils
logger = logging.getLogger(__name__)
def _try_import_strategy():
"""Late import for Tesnorflow"""
import tensorflow as tf
return tf.distribute.experimental.MultiWorkerMirroredStr... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/experimental/sgd/tf/tf_trainer.py | Python | import numpy as np
import os
import logging
import pickle
import ray
from ray.tune import Trainable
from ray.tune.resources import Resources
from ray.experimental.sgd.tf.tf_runner import TFRunner
logger = logging.getLogger(__name__)
class TFTrainer:
def __init__(self,
model_creator,
... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/experimental/sgd/utils.py | Python | from contextlib import closing
import logging
import numpy as np
import socket
import time
import ray
from ray.exceptions import RayActorError
logger = logging.getLogger(__name__)
class TimerStat:
"""A running stat for conveniently logging the duration of a code block.
Note that this class is *not* thread-... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/experimental/signal.py | Python | import logging
from collections import defaultdict
import ray
import ray.cloudpickle as cloudpickle
# This string should be identical to the name of the signal sent upon
# detecting that an actor died.
# This constant is also used in NodeManager::PublishActorStateTransition()
# in node_manager.cc
ACTOR_DIED_STR = "A... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/experimental/test/async_test.py | Python | import asyncio
import time
import pytest
import ray
from ray.experimental import async_api
@pytest.fixture
def init():
ray.init(num_cpus=4)
async_api.init()
asyncio.get_event_loop().set_debug(False)
yield
async_api.shutdown()
ray.shutdown()
def gen_tasks(time_scale=0.1):
@ray.remote
... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/experimental/tf_utils.py | Python | from collections import deque, OrderedDict
import numpy as np
from ray.rllib.utils import try_import_tf
tf = try_import_tf()
def unflatten(vector, shapes):
i = 0
arrays = []
for shape in shapes:
size = np.prod(shape, dtype=np.int)
array = vector[i:(i + size)].reshape(shape)
array... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/function_manager.py | Python | import dis
import hashlib
import importlib
import inspect
import json
import logging
import sys
import time
import threading
import traceback
from collections import (
namedtuple,
defaultdict,
)
import ray
from ray import profiling
from ray import ray_constants
from ray import cloudpickle as pickle
from ray.ut... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/gcs_utils.py | Python | from ray.core.generated.gcs_pb2 import (
ActorCheckpointIdData,
ActorTableData,
GcsNodeInfo,
JobTableData,
ErrorTableData,
ErrorType,
GcsEntry,
HeartbeatBatchTableData,
HeartbeatTableData,
ObjectTableData,
ProfileTableData,
TablePrefix,
TablePubsub,
TaskTableData,... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/import_thread.py | Python | from collections import defaultdict
import threading
import traceback
import redis
import ray
from ray import ray_constants
from ray import cloudpickle as pickle
from ray import profiling
from ray import utils
import logging
logger = logging.getLogger(__name__)
class ImportThread:
"""A thread used to import e... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/includes/common.pxd | Cython | from libcpp cimport bool as c_bool
from libcpp.memory cimport shared_ptr, unique_ptr
from libcpp.string cimport string as c_string
from libc.stdint cimport uint8_t, int32_t, uint64_t, int64_t
from libcpp.unordered_map cimport unordered_map
from libcpp.vector cimport vector as c_vector
from ray.includes.unique_ids cim... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/includes/libcoreworker.pxd | Cython | # cython: profile = False
# distutils: language = c++
# cython: embedsignature = True
from libc.stdint cimport int64_t
from libcpp cimport bool as c_bool
from libcpp.memory cimport shared_ptr, unique_ptr
from libcpp.string cimport string as c_string
from libcpp.unordered_map cimport unordered_map
from libcpp.utility c... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/includes/libraylet.pxd | Cython | from libc.stdint cimport int64_t
from libcpp cimport bool as c_bool
from libcpp.memory cimport unique_ptr
from libcpp.string cimport string as c_string
from libcpp.utility cimport pair
from libcpp.vector cimport vector as c_vector
from ray.includes.common cimport (
CLanguage,
CRayStatus,
)
from ray.includes.un... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/includes/ray_config.pxd | Cython | from libc.stdint cimport int64_t, uint64_t, uint32_t
from libcpp.string cimport string as c_string
from libcpp.unordered_map cimport unordered_map
cdef extern from "ray/common/ray_config.h" nogil:
cdef cppclass RayConfig "RayConfig":
@staticmethod
RayConfig &instance()
int64_t ray_cookie(... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/includes/task.pxd | Cython | from libc.stdint cimport uint8_t, uint64_t
from libcpp cimport bool as c_bool
from libcpp.memory cimport unique_ptr, shared_ptr
from libcpp.string cimport string as c_string
from libcpp.unordered_map cimport unordered_map
from libcpp.vector cimport vector as c_vector
from ray.includes.common cimport (
CLanguage,
... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/includes/unique_ids.pxd | Cython | from libcpp cimport bool as c_bool
from libcpp.string cimport string as c_string
from libc.stdint cimport uint8_t, uint32_t, int64_t
cdef extern from "ray/common/id.h" namespace "ray" nogil:
cdef cppclass CBaseID[T]:
@staticmethod
T FromBinary(const c_string &binary)
@staticmethod
... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/internal/__init__.py | Python | from ray.internal.internal_api import free
__all__ = ["free"]
| zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/internal/internal_api.py | Python | import ray.worker
from ray import profiling
__all__ = ["free"]
def free(object_ids, local_only=False, delete_creating_tasks=False):
"""Free a list of IDs from object stores.
This function is a low-level API which should be used in restricted
scenarios.
If local_only is false, the request will be se... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/local_mode_manager.py | Python | import copy
import traceback
import ray
from ray import ObjectID
from ray.utils import format_error_message
from ray.exceptions import RayTaskError
class LocalModeObjectID(ObjectID):
"""Wrapper class around ray.ObjectID used for local mode.
Object values are stored directly as a field of the LocalModeObject... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/log_monitor.py | Python | import argparse
import errno
import glob
import json
import logging
import os
import shutil
import time
import traceback
import ray.ray_constants as ray_constants
import ray.services as services
import ray.utils
# Logger for this module. It should be configured at the entry point
# into the program using Ray. Ray pro... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/memory_monitor.py | Python | import logging
import os
import sys
import time
try:
import psutil
except ImportError:
psutil = None
logger = logging.getLogger(__name__)
def get_rss(memory_info):
"""Get the estimated non-shared memory usage from psutil memory_info."""
mem = memory_info.rss
# OSX doesn't have the shared attribu... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/monitor.py | Python | import argparse
import logging
import os
import time
import traceback
import json
import redis
import ray
from ray.autoscaler.autoscaler import LoadMetrics, StandardAutoscaler
import ray.cloudpickle as pickle
import ray.gcs_utils
import ray.utils
import ray.ray_constants as ray_constants
from ray.utils import (binary... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/node.py | Python | import atexit
import collections
import datetime
import errno
import json
import os
import logging
import signal
import socket
import sys
import tempfile
import threading
import time
import ray
import ray.ray_constants as ray_constants
import ray.services
from ray.resource_spec import ResourceSpec
from ray.utils impor... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/parameter.py | Python | import logging
import numpy as np
from packaging import version
import ray.ray_constants as ray_constants
class RayParams:
"""A class used to store the parameters used by Ray.
Attributes:
redis_address (str): The address of the Redis server to connect to. If
this address is not provided... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/profiling.py | Python | import ray
class _NullLogSpan:
"""A log span context manager that does nothing"""
def __enter__(self):
pass
def __exit__(self, type, value, tb):
pass
NULL_LOG_SPAN = _NullLogSpan()
def profile(event_type, extra_data=None):
"""Profile a span of time so that it appears in the timel... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/projects/__init__.py | Python | from ray.projects.projects import ProjectDefinition
__all__ = [
"ProjectDefinition",
]
| zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/projects/projects.py | Python | import argparse
import copy
import json
import jsonschema
import os
import yaml
def make_argument_parser(name, params, wildcards):
"""Build argument parser dynamically to parse parameter arguments.
Args:
name (str): Name of the command to parse.
params (dict): Parameter specification used to ... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/projects/scripts.py | Python | import argparse
import click
import copy
import jsonschema
import logging
import os
from shutil import copyfile
import subprocess
import sys
import time
import ray
from ray.autoscaler.commands import (
attach_cluster,
exec_cluster,
create_or_update_cluster,
rsync,
teardown_cluster,
)
logging.basic... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/ray_cluster_perf.py | Python | """This is the script for `ray clusterbenchmark`."""
import time
import numpy as np
import ray
from ray.cluster_utils import Cluster
def main():
cluster = Cluster(
initialize_head=True,
connect=True,
head_node_args={
"object_store_memory": 20 * 1024 * 1024 * 1024,
... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/ray_constants.py | Python | """Ray constants used in the Python code."""
import logging
import math
import os
logger = logging.getLogger(__name__)
def env_integer(key, default):
if key in os.environ:
return int(os.environ[key])
return default
def direct_call_enabled():
return bool(int(os.environ.get("RAY_FORCE_DIRECT", "... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/ray_perf.py | Python | """This is the script for `ray microbenchmark`."""
import os
import time
import numpy as np
import multiprocessing
import ray
# Only run tests matching this filter pattern.
filter_pattern = os.environ.get("TESTS_TO_RUN", "")
@ray.remote(num_cpus=0)
class Actor:
def small_value(self):
return b"ok"
d... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/ray_process_reaper.py | Python | import os
import signal
import sys
import time
"""
This is a lightweight "reaper" process used to ensure that ray processes are
cleaned up properly when the main ray process dies unexpectedly (e.g.,
segfaults or gets SIGKILLed). Note that processes may not be cleaned up
properly if this process is SIGTERMed or SIGKILLe... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/remote_function.py | Python | import logging
from functools import wraps
from ray import cloudpickle as pickle
from ray import ray_constants
from ray.function_manager import FunctionDescriptor
import ray.signature
# Default parameters for remote functions.
DEFAULT_REMOTE_FUNCTION_CPUS = 1
DEFAULT_REMOTE_FUNCTION_NUM_RETURN_VALS = 1
DEFAULT_REMOTE... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/reporter.py | Python | import argparse
import logging
import json
import os
import traceback
import time
import datetime
try:
import psutil
except ImportError:
print("The reporter requires psutil to run.")
import sys
sys.exit(1)
import ray.ray_constants as ray_constants
import ray.services
import ray.utils
# Logger for thi... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/resource_spec.py | Python | import math
from collections import namedtuple
import logging
import multiprocessing
import os
import ray
import ray.ray_constants as ray_constants
logger = logging.getLogger(__name__)
# Prefix for the node id resource that is automatically added to each node.
# For example, a node may have id `node:172.23.42.1`.
NO... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/runtime_context.py | Python | import ray.worker
class RuntimeContext:
"""A class used for getting runtime context."""
def __init__(self, worker=None):
self.worker = worker
@property
def current_driver_id(self):
"""Get current driver ID for this worker or driver.
Returns:
If called by a driver... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/scripts/scripts.py | Python | import click
from datetime import datetime
import json
import logging
import os
import subprocess
import sys
import time
import ray.services as services
from ray.autoscaler.commands import (
attach_cluster, exec_cluster, create_or_update_cluster, monitor_cluster,
rsync, teardown_cluster, get_head_node_ip, kill... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/serialization.py | Python | import hashlib
import io
import logging
import time
import pyarrow
import pyarrow.plasma as plasma
import ray.cloudpickle as pickle
from ray import ray_constants, JobID
import ray.utils
from ray.utils import _random_string
from ray.gcs_utils import ErrorType
from ray.exceptions import (
RayActorError,
RayWork... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/services.py | Python | import collections
import json
import logging
import multiprocessing
import os
import random
import re
import resource
import socket
import subprocess
import sys
import time
import redis
import colorama
import pyarrow
# Ray modules
import ray
import ray.ray_constants as ray_constants
# True if processes are run in th... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/setup-dev.py | Python | #!/usr/bin/env python
"""This script allows you to develop RLlib without needing to compile Ray."""
import argparse
import click
import os
import subprocess
import ray
def do_link(package, force=False, local_path=""):
package_home = os.path.abspath(
os.path.join(ray.__file__, "../{}".format(package)))
... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/signature.py | Python | from collections import namedtuple
import funcsigs
from funcsigs import Parameter
import logging
from ray.utils import is_cython
# Logger for this module. It should be configured at the entry point
# into the program using Ray. Ray provides a default configuration at
# entry/init points.
logger = logging.getLogger(__... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/state.py | Python | from collections import defaultdict
import json
import logging
import sys
import time
import ray
from ray.function_manager import FunctionDescriptor
from ray import (
gcs_utils,
services,
)
from ray.utils import (decode, binary_to_object_id, binary_to_hex,
hex_to_binary)
logger = loggi... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/test_utils.py | Python | import json
import fnmatch
import os
import subprocess
import sys
import tempfile
import time
import psutil
import ray
class RayTestTimeoutException(Exception):
"""Exception used to identify timeouts from test utilities."""
pass
def _pid_alive(pid):
"""Check if the process with this PID is alive or no... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/tests/conftest.py | Python | """
This file defines the common pytest fixtures used in current directory.
"""
from contextlib import contextmanager
import json
import pytest
import subprocess
import ray
from ray.cluster_utils import Cluster
@pytest.fixture
def shutdown_only():
yield None
# The code after the yield will run as teardown c... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/tests/perf_integration_tests/test_perf_integration.py | Python | import numpy as np
import pytest
import ray
from ray.tests.conftest import _ray_start_cluster
num_tasks_submitted = [10**n for n in range(0, 6)]
num_tasks_ids = ["{}_tasks".format(i) for i in num_tasks_submitted]
@ray.remote
def dummy_task(val):
return val
def benchmark_task_submission(num_tasks):
total_t... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/tests/py3_test.py | Python | # coding: utf-8
import asyncio
import threading
import pytest
import sys
import ray
import ray.cluster_utils
import ray.test_utils
@pytest.mark.parametrize(
"ray_start_regular", [{
"local_mode": True
}, {
"local_mode": False
}],
indirect=True)
def test_args_force_positional(ray_start_... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/tests/test_actor.py | Python | import random
import numpy as np
import os
import pytest
try:
import pytest_timeout
except ImportError:
pytest_timeout = None
import sys
import time
import ray
import ray.test_utils
import ray.cluster_utils
from ray.test_utils import run_string_as_driver
from ray.experimental.internal_kv import _internal_kv_ge... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/tests/test_actor_failures.py | Python | import collections
import json
import numpy as np
import os
import pytest
try:
import pytest_timeout
except ImportError:
pytest_timeout = None
import signal
import sys
import time
import ray
import ray.ray_constants as ray_constants
import ray.test_utils
import ray.cluster_utils
from ray.test_utils import (rel... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/tests/test_actor_pool.py | Python | import time
import pytest
import ray
from ray.experimental import ActorPool
@pytest.fixture
def init():
ray.init(num_cpus=4)
yield
ray.shutdown()
def test_get_next(init):
@ray.remote
class MyActor:
def __init__(self):
pass
def f(self, x):
return x + 1
... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/tests/test_actor_resources.py | Python | import collections
import json
import os
import pytest
try:
import pytest_timeout
except ImportError:
pytest_timeout = None
import sys
import time
import ray
import ray.test_utils
import ray.cluster_utils
from ray import ray_constants
RAY_FORCE_DIRECT = ray_constants.direct_call_enabled()
def test_actor_del... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/tests/test_advanced.py | Python | # coding: utf-8
from concurrent.futures import ThreadPoolExecutor
import json
import logging
import random
import six
import sys
import threading
import time
import numpy as np
import pytest
import ray
import ray.ray_constants as ray_constants
import ray.cluster_utils
import ray.test_utils
from ray.test_utils import... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/tests/test_advanced_2.py | Python | # coding: utf-8
import logging
import os
import sys
import time
import numpy as np
import pytest
import ray
import ray.cluster_utils
import ray.test_utils
from ray.test_utils import RayTestTimeoutException
logger = logging.getLogger(__name__)
def test_resource_constraints(shutdown_only):
num_workers = 20
... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/tests/test_advanced_3.py | Python | # coding: utf-8
import glob
import logging
import os
import setproctitle
import shutil
import json
import sys
import socket
import subprocess
import tempfile
import time
import numpy as np
import pickle
import pytest
import ray
from ray import signature
import ray.ray_constants as ray_constants
import ray.cluster_uti... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/tests/test_array.py | Python | from importlib import reload
import numpy as np
from numpy.testing import assert_equal, assert_almost_equal
import pytest
import sys
import ray
import ray.experimental.array.remote as ra
import ray.experimental.array.distributed as da
import ray.cluster_utils
@pytest.fixture
def reload_modules():
modules = [ra.c... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/tests/test_autoscaler.py | Python | import shutil
import tempfile
import threading
import time
import unittest
import yaml
import copy
import ray
import ray.services as services
from ray.autoscaler.autoscaler import StandardAutoscaler, LoadMetrics, \
fillout_defaults, validate_config
from ray.autoscaler.tags import TAG_RAY_NODE_TYPE, TAG_RAY_NODE_ST... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/tests/test_autoscaler_yaml.py | Python | import os
import unittest
import yaml
from ray.autoscaler.autoscaler import fillout_defaults, validate_config
from ray.test_utils import recursive_fnmatch
RAY_PATH = os.path.abspath(os.path.join(__file__, "../../"))
CONFIG_PATHS = recursive_fnmatch(
os.path.join(RAY_PATH, "autoscaler"), "*.yaml")
CONFIG_PATHS +=... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/tests/test_basic.py | Python | # coding: utf-8
import collections
import io
import json
import logging
import os
import re
import string
import sys
import threading
import time
import numpy as np
import pytest
import ray
from ray.exceptions import RayTimeoutError
import ray.cluster_utils
import ray.test_utils
logger = logging.getLogger(__name__)
... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/tests/test_component_failures.py | Python | import os
import signal
import sys
import time
import pytest
import ray
from ray.test_utils import run_string_as_driver_nonblocking
# This test checks that when a worker dies in the middle of a get, the plasma
# store and raylet will not die.
@pytest.mark.skipif(
os.environ.get("RAY_USE_NEW_GCS") == "on",
r... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/tests/test_component_failures_2.py | Python | import json
import os
import signal
import sys
import time
import pytest
import ray
import ray.ray_constants as ray_constants
from ray.cluster_utils import Cluster
from ray.test_utils import RayTestTimeoutException
@pytest.fixture(params=[(1, 4), (4, 4)])
def ray_start_workers_separate_multinode(request):
num_n... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/tests/test_component_failures_3.py | Python | import os
import sys
import time
import numpy as np
import pytest
import ray
import ray.ray_constants as ray_constants
@pytest.mark.parametrize(
"ray_start_cluster", [{
"num_cpus": 4,
"num_nodes": 3,
"do_init": True
}],
indirect=True)
def test_actor_creation_node_failure(ray_star... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/tests/test_cython.py | Python | from __future__ import absolute_import
from __future__ import print_function
import math
import numpy as np
import unittest
import ray
import cython_examples as cyth
def get_ray_result(cython_func, *args):
func = ray.remote(cython_func)
return ray.get(func.remote(*args))
class CythonTest(unittest.TestCase... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/tests/test_debug_tools.py | Python | import os
import subprocess
import sys
import pytest
import ray
@pytest.fixture
def ray_gdb_start():
# Setup environment and start ray
_environ = os.environ.copy()
for process_name in ["RAYLET", "PLASMA_STORE"]:
os.environ["RAY_{}_GDB".format(process_name)] = "1"
os.environ["RAY_{}_TMUX"... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/tests/test_dynres.py | Python | import logging
import time
import ray
import ray.cluster_utils
import ray.test_utils
logger = logging.getLogger(__name__)
def test_dynamic_res_creation(ray_start_regular):
# This test creates a resource locally (without specifying the client_id)
res_name = "test_res"
res_capacity = 1.0
@ray.remote
... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/tests/test_failure.py | Python | import json
import logging
import os
import sys
import tempfile
import threading
import time
import numpy as np
import pytest
import redis
import ray
import ray.ray_constants as ray_constants
from ray.cluster_utils import Cluster
from ray.test_utils import (
relevant_errors,
wait_for_errors,
RayTestTimeou... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/tests/test_global_state.py | Python | import pytest
try:
import pytest_timeout
except ImportError:
pytest_timeout = None
import time
import ray
# TODO(rliaw): The proper way to do this is to have the pytest config setup.
@pytest.mark.skipif(
pytest_timeout is None,
reason="Timeout package not installed; skipping test that may hang.")
@py... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/tests/test_iter.py | Python | import time
import ray
from ray.experimental.iter import from_items, from_iterators, from_range, \
from_actors, ParallelIteratorWorker
def test_from_items(ray_start_regular_shared):
it = from_items([1, 2, 3, 4])
assert repr(it) == "ParallelIterator[from_items[int, 4, shards=2]]"
assert list(it.gather... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/tests/test_memory_limits.py | Python | import numpy as np
import unittest
import ray
MB = 1024 * 1024
OBJECT_EVICTED = ray.exceptions.UnreconstructableError
OBJECT_TOO_LARGE = ray.exceptions.ObjectStoreFullError
@ray.remote
class LightActor:
def __init__(self):
pass
def sample(self):
return np.zeros(5 * MB, dtype=np.uint8)
@r... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/tests/test_memory_scheduling.py | Python | import numpy as np
import unittest
import ray
from ray import tune
from ray.rllib import _register_all
MB = 1024 * 1024
@ray.remote(memory=100 * MB)
class Actor:
def __init__(self):
pass
def ping(self):
return "ok"
@ray.remote(object_store_memory=100 * MB)
class Actor2:
def __init__(s... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/tests/test_metrics.py | Python | import os
import grpc
import psutil
import requests
import time
import ray
from ray.core.generated import node_manager_pb2
from ray.core.generated import node_manager_pb2_grpc
from ray.test_utils import RayTestTimeoutException
def test_worker_stats(shutdown_only):
ray.init(num_cpus=1, include_webui=False)
ra... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/tests/test_microbenchmarks.py | Python | import pytest
import time
import numpy as np
import ray
def test_timing(ray_start_regular):
@ray.remote
def empty_function():
pass
@ray.remote
def trivial_function():
return 1
# Measure the time required to submit a remote task to the scheduler.
elapsed_times = []
for _ ... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/tests/test_mini.py | Python | import ray
test_values = [1, 1.0, "test", b"test", (0, 1), [0, 1], {0: 1}]
def test_basic_task_api(ray_start_regular):
# Test a simple function.
@ray.remote
def f_simple():
return 1
assert ray.get(f_simple.remote()) == 1
# Test multiple return values.
@ray.remote(num_return_vals=... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/tests/test_monitors.py | Python | import multiprocessing
import os
import pytest
import subprocess
import time
import ray
def _test_cleanup_on_driver_exit(num_redis_shards):
output = ray.utils.decode(
subprocess.check_output(
[
"ray",
"start",
"--head",
"--num-re... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/tests/test_multi_node.py | Python | import os
import pytest
import subprocess
import time
import ray
from ray import ray_constants
from ray.test_utils import (
RayTestTimeoutException,
run_string_as_driver,
run_string_as_driver_nonblocking,
wait_for_children_of_pid,
wait_for_children_of_pid_to_exit,
kill_process_by_name,
)
def ... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/tests/test_multi_node_2.py | Python | import logging
import pytest
import time
import ray
import ray.ray_constants as ray_constants
from ray.monitor import Monitor
from ray.cluster_utils import Cluster
from ray.test_utils import generate_internal_config_map
logger = logging.getLogger(__name__)
def test_cluster():
"""Basic test for adding and removi... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/tests/test_multinode_failures.py | Python | import json
import os
import signal
import sys
import time
import pytest
import ray
import ray.ray_constants as ray_constants
from ray.cluster_utils import Cluster
from ray.test_utils import RayTestTimeoutException
RAY_FORCE_DIRECT = ray_constants.direct_call_enabled()
@pytest.fixture(params=[(1, 4), (4, 4)])
def ... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/tests/test_multinode_failures_2.py | Python | import json
import os
import sys
import time
import numpy as np
import pytest
import ray
import ray.ray_constants as ray_constants
RAY_FORCE_DIRECT = ray_constants.direct_call_enabled()
@pytest.mark.skipif(
RAY_FORCE_DIRECT,
reason="No reconstruction for objects placed in plasma yet")
@pytest.mark.parametr... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/tests/test_multiprocessing.py | Python | import os
import pytest
import tempfile
import time
import random
import subprocess
from collections import defaultdict
import queue
import ray
from ray.experimental.multiprocessing import Pool, TimeoutError
@pytest.fixture
def cleanup_only():
yield None
ray.shutdown()
subprocess.check_output(["ray", "st... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/tests/test_node_manager.py | Python | import ray
from ray.test_utils import run_string_as_driver
# This tests the queue transitions for infeasible tasks. This has been an issue
# in the past, e.g., https://github.com/ray-project/ray/issues/3275.
def test_infeasible_tasks(ray_start_cluster):
cluster = ray_start_cluster
@ray.remote
def f():
... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta | |
python/ray/tests/test_object_manager.py | Python | from collections import defaultdict
import json
import multiprocessing
import numpy as np
import pytest
import time
import warnings
import ray
from ray import ray_constants
from ray.cluster_utils import Cluster
# TODO(yuhguo): This test file requires a lot of CPU/memory, and
# better be put in Jenkins. However, it fa... | zhuohan123/hoplite-rllib | 3 | Python | zhuohan123 | Zhuohan Li | vLLM / Meta |
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