id int32 0 252k | repo stringlengths 7 55 | path stringlengths 4 127 | func_name stringlengths 1 88 | original_string stringlengths 75 19.8k | language stringclasses 1
value | code stringlengths 75 19.8k | code_tokens list | docstring stringlengths 3 17.3k | docstring_tokens list | sha stringlengths 40 40 | url stringlengths 87 242 |
|---|---|---|---|---|---|---|---|---|---|---|---|
24,300 | ray-project/ray | python/ray/tune/suggest/variant_generator.py | resolve_nested_dict | def resolve_nested_dict(nested_dict):
"""Flattens a nested dict by joining keys into tuple of paths.
Can then be passed into `format_vars`.
"""
res = {}
for k, v in nested_dict.items():
if isinstance(v, dict):
for k_, v_ in resolve_nested_dict(v).items():
res[(k,... | python | def resolve_nested_dict(nested_dict):
"""Flattens a nested dict by joining keys into tuple of paths.
Can then be passed into `format_vars`.
"""
res = {}
for k, v in nested_dict.items():
if isinstance(v, dict):
for k_, v_ in resolve_nested_dict(v).items():
res[(k,... | [
"def",
"resolve_nested_dict",
"(",
"nested_dict",
")",
":",
"res",
"=",
"{",
"}",
"for",
"k",
",",
"v",
"in",
"nested_dict",
".",
"items",
"(",
")",
":",
"if",
"isinstance",
"(",
"v",
",",
"dict",
")",
":",
"for",
"k_",
",",
"v_",
"in",
"resolve_ne... | Flattens a nested dict by joining keys into tuple of paths.
Can then be passed into `format_vars`. | [
"Flattens",
"a",
"nested",
"dict",
"by",
"joining",
"keys",
"into",
"tuple",
"of",
"paths",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/tune/suggest/variant_generator.py#L108-L120 |
24,301 | ray-project/ray | python/ray/tune/automlboard/run.py | run_board | def run_board(args):
"""
Run main entry for AutoMLBoard.
Args:
args: args parsed from command line
"""
init_config(args)
# backend service, should import after django settings initialized
from backend.collector import CollectorService
service = CollectorService(
args.l... | python | def run_board(args):
"""
Run main entry for AutoMLBoard.
Args:
args: args parsed from command line
"""
init_config(args)
# backend service, should import after django settings initialized
from backend.collector import CollectorService
service = CollectorService(
args.l... | [
"def",
"run_board",
"(",
"args",
")",
":",
"init_config",
"(",
"args",
")",
"# backend service, should import after django settings initialized",
"from",
"backend",
".",
"collector",
"import",
"CollectorService",
"service",
"=",
"CollectorService",
"(",
"args",
".",
"lo... | Run main entry for AutoMLBoard.
Args:
args: args parsed from command line | [
"Run",
"main",
"entry",
"for",
"AutoMLBoard",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/tune/automlboard/run.py#L18-L43 |
24,302 | ray-project/ray | python/ray/tune/automlboard/run.py | init_config | def init_config(args):
"""
Initialize configs of the service.
Do the following things:
1. automl board settings
2. database settings
3. django settings
"""
os.environ["AUTOMLBOARD_LOGDIR"] = args.logdir
os.environ["AUTOMLBOARD_LOGLEVEL"] = args.log_level
os.environ["AUTOMLBOARD_... | python | def init_config(args):
"""
Initialize configs of the service.
Do the following things:
1. automl board settings
2. database settings
3. django settings
"""
os.environ["AUTOMLBOARD_LOGDIR"] = args.logdir
os.environ["AUTOMLBOARD_LOGLEVEL"] = args.log_level
os.environ["AUTOMLBOARD_... | [
"def",
"init_config",
"(",
"args",
")",
":",
"os",
".",
"environ",
"[",
"\"AUTOMLBOARD_LOGDIR\"",
"]",
"=",
"args",
".",
"logdir",
"os",
".",
"environ",
"[",
"\"AUTOMLBOARD_LOGLEVEL\"",
"]",
"=",
"args",
".",
"log_level",
"os",
".",
"environ",
"[",
"\"AUTO... | Initialize configs of the service.
Do the following things:
1. automl board settings
2. database settings
3. django settings | [
"Initialize",
"configs",
"of",
"the",
"service",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/tune/automlboard/run.py#L46-L80 |
24,303 | ray-project/ray | python/ray/worker.py | get_gpu_ids | def get_gpu_ids():
"""Get the IDs of the GPUs that are available to the worker.
If the CUDA_VISIBLE_DEVICES environment variable was set when the worker
started up, then the IDs returned by this method will be a subset of the
IDs in CUDA_VISIBLE_DEVICES. If not, the IDs will fall in the range
[0, N... | python | def get_gpu_ids():
"""Get the IDs of the GPUs that are available to the worker.
If the CUDA_VISIBLE_DEVICES environment variable was set when the worker
started up, then the IDs returned by this method will be a subset of the
IDs in CUDA_VISIBLE_DEVICES. If not, the IDs will fall in the range
[0, N... | [
"def",
"get_gpu_ids",
"(",
")",
":",
"if",
"_mode",
"(",
")",
"==",
"LOCAL_MODE",
":",
"raise",
"Exception",
"(",
"\"ray.get_gpu_ids() currently does not work in PYTHON \"",
"\"MODE.\"",
")",
"all_resource_ids",
"=",
"global_worker",
".",
"raylet_client",
".",
"resour... | Get the IDs of the GPUs that are available to the worker.
If the CUDA_VISIBLE_DEVICES environment variable was set when the worker
started up, then the IDs returned by this method will be a subset of the
IDs in CUDA_VISIBLE_DEVICES. If not, the IDs will fall in the range
[0, NUM_GPUS - 1], where NUM_GP... | [
"Get",
"the",
"IDs",
"of",
"the",
"GPUs",
"that",
"are",
"available",
"to",
"the",
"worker",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/worker.py#L1042-L1069 |
24,304 | ray-project/ray | python/ray/worker.py | error_info | def error_info():
"""Return information about failed tasks."""
worker = global_worker
worker.check_connected()
return (global_state.error_messages(driver_id=worker.task_driver_id) +
global_state.error_messages(driver_id=DriverID.nil())) | python | def error_info():
"""Return information about failed tasks."""
worker = global_worker
worker.check_connected()
return (global_state.error_messages(driver_id=worker.task_driver_id) +
global_state.error_messages(driver_id=DriverID.nil())) | [
"def",
"error_info",
"(",
")",
":",
"worker",
"=",
"global_worker",
"worker",
".",
"check_connected",
"(",
")",
"return",
"(",
"global_state",
".",
"error_messages",
"(",
"driver_id",
"=",
"worker",
".",
"task_driver_id",
")",
"+",
"global_state",
".",
"error_... | Return information about failed tasks. | [
"Return",
"information",
"about",
"failed",
"tasks",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/worker.py#L1134-L1139 |
24,305 | ray-project/ray | python/ray/worker.py | _initialize_serialization | def _initialize_serialization(driver_id, worker=global_worker):
"""Initialize the serialization library.
This defines a custom serializer for object IDs and also tells ray to
serialize several exception classes that we define for error handling.
"""
serialization_context = pyarrow.default_serializa... | python | def _initialize_serialization(driver_id, worker=global_worker):
"""Initialize the serialization library.
This defines a custom serializer for object IDs and also tells ray to
serialize several exception classes that we define for error handling.
"""
serialization_context = pyarrow.default_serializa... | [
"def",
"_initialize_serialization",
"(",
"driver_id",
",",
"worker",
"=",
"global_worker",
")",
":",
"serialization_context",
"=",
"pyarrow",
".",
"default_serialization_context",
"(",
")",
"# Tell the serialization context to use the cloudpickle version that we",
"# ship with Ra... | Initialize the serialization library.
This defines a custom serializer for object IDs and also tells ray to
serialize several exception classes that we define for error handling. | [
"Initialize",
"the",
"serialization",
"library",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/worker.py#L1142-L1210 |
24,306 | ray-project/ray | python/ray/worker.py | print_logs | def print_logs(redis_client, threads_stopped):
"""Prints log messages from workers on all of the nodes.
Args:
redis_client: A client to the primary Redis shard.
threads_stopped (threading.Event): A threading event used to signal to
the thread that it should exit.
"""
pubsub_... | python | def print_logs(redis_client, threads_stopped):
"""Prints log messages from workers on all of the nodes.
Args:
redis_client: A client to the primary Redis shard.
threads_stopped (threading.Event): A threading event used to signal to
the thread that it should exit.
"""
pubsub_... | [
"def",
"print_logs",
"(",
"redis_client",
",",
"threads_stopped",
")",
":",
"pubsub_client",
"=",
"redis_client",
".",
"pubsub",
"(",
"ignore_subscribe_messages",
"=",
"True",
")",
"pubsub_client",
".",
"subscribe",
"(",
"ray",
".",
"gcs_utils",
".",
"LOG_FILE_CHA... | Prints log messages from workers on all of the nodes.
Args:
redis_client: A client to the primary Redis shard.
threads_stopped (threading.Event): A threading event used to signal to
the thread that it should exit. | [
"Prints",
"log",
"messages",
"from",
"workers",
"on",
"all",
"of",
"the",
"nodes",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/worker.py#L1526-L1575 |
24,307 | ray-project/ray | python/ray/worker.py | print_error_messages_raylet | def print_error_messages_raylet(task_error_queue, threads_stopped):
"""Prints message received in the given output queue.
This checks periodically if any un-raised errors occured in the background.
Args:
task_error_queue (queue.Queue): A queue used to receive errors from the
thread tha... | python | def print_error_messages_raylet(task_error_queue, threads_stopped):
"""Prints message received in the given output queue.
This checks periodically if any un-raised errors occured in the background.
Args:
task_error_queue (queue.Queue): A queue used to receive errors from the
thread tha... | [
"def",
"print_error_messages_raylet",
"(",
"task_error_queue",
",",
"threads_stopped",
")",
":",
"while",
"True",
":",
"# Exit if we received a signal that we should stop.",
"if",
"threads_stopped",
".",
"is_set",
"(",
")",
":",
"return",
"try",
":",
"error",
",",
"t"... | Prints message received in the given output queue.
This checks periodically if any un-raised errors occured in the background.
Args:
task_error_queue (queue.Queue): A queue used to receive errors from the
thread that listens to Redis.
threads_stopped (threading.Event): A threading ... | [
"Prints",
"message",
"received",
"in",
"the",
"given",
"output",
"queue",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/worker.py#L1578-L1610 |
24,308 | ray-project/ray | python/ray/worker.py | listen_error_messages_raylet | def listen_error_messages_raylet(worker, task_error_queue, threads_stopped):
"""Listen to error messages in the background on the driver.
This runs in a separate thread on the driver and pushes (error, time)
tuples to the output queue.
Args:
worker: The worker class that this thread belongs to... | python | def listen_error_messages_raylet(worker, task_error_queue, threads_stopped):
"""Listen to error messages in the background on the driver.
This runs in a separate thread on the driver and pushes (error, time)
tuples to the output queue.
Args:
worker: The worker class that this thread belongs to... | [
"def",
"listen_error_messages_raylet",
"(",
"worker",
",",
"task_error_queue",
",",
"threads_stopped",
")",
":",
"worker",
".",
"error_message_pubsub_client",
"=",
"worker",
".",
"redis_client",
".",
"pubsub",
"(",
"ignore_subscribe_messages",
"=",
"True",
")",
"# Exp... | Listen to error messages in the background on the driver.
This runs in a separate thread on the driver and pushes (error, time)
tuples to the output queue.
Args:
worker: The worker class that this thread belongs to.
task_error_queue (queue.Queue): A queue used to communicate with the
... | [
"Listen",
"to",
"error",
"messages",
"in",
"the",
"background",
"on",
"the",
"driver",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/worker.py#L1613-L1675 |
24,309 | ray-project/ray | python/ray/worker.py | disconnect | def disconnect():
"""Disconnect this worker from the raylet and object store."""
# Reset the list of cached remote functions and actors so that if more
# remote functions or actors are defined and then connect is called again,
# the remote functions will be exported. This is mostly relevant for the
... | python | def disconnect():
"""Disconnect this worker from the raylet and object store."""
# Reset the list of cached remote functions and actors so that if more
# remote functions or actors are defined and then connect is called again,
# the remote functions will be exported. This is mostly relevant for the
... | [
"def",
"disconnect",
"(",
")",
":",
"# Reset the list of cached remote functions and actors so that if more",
"# remote functions or actors are defined and then connect is called again,",
"# the remote functions will be exported. This is mostly relevant for the",
"# tests.",
"worker",
"=",
"gl... | Disconnect this worker from the raylet and object store. | [
"Disconnect",
"this",
"worker",
"from",
"the",
"raylet",
"and",
"object",
"store",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/worker.py#L1961-L1994 |
24,310 | ray-project/ray | python/ray/worker.py | _try_to_compute_deterministic_class_id | def _try_to_compute_deterministic_class_id(cls, depth=5):
"""Attempt to produce a deterministic class ID for a given class.
The goal here is for the class ID to be the same when this is run on
different worker processes. Pickling, loading, and pickling again seems to
produce more consistent results tha... | python | def _try_to_compute_deterministic_class_id(cls, depth=5):
"""Attempt to produce a deterministic class ID for a given class.
The goal here is for the class ID to be the same when this is run on
different worker processes. Pickling, loading, and pickling again seems to
produce more consistent results tha... | [
"def",
"_try_to_compute_deterministic_class_id",
"(",
"cls",
",",
"depth",
"=",
"5",
")",
":",
"# Pickling, loading, and pickling again seems to produce more consistent",
"# results than simply pickling. This is a bit",
"class_id",
"=",
"pickle",
".",
"dumps",
"(",
"cls",
")",
... | Attempt to produce a deterministic class ID for a given class.
The goal here is for the class ID to be the same when this is run on
different worker processes. Pickling, loading, and pickling again seems to
produce more consistent results than simply pickling. This is a bit crazy
and could cause proble... | [
"Attempt",
"to",
"produce",
"a",
"deterministic",
"class",
"ID",
"for",
"a",
"given",
"class",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/worker.py#L2006-L2045 |
24,311 | ray-project/ray | python/ray/worker.py | register_custom_serializer | def register_custom_serializer(cls,
use_pickle=False,
use_dict=False,
serializer=None,
deserializer=None,
local=False,
driver_id=None,... | python | def register_custom_serializer(cls,
use_pickle=False,
use_dict=False,
serializer=None,
deserializer=None,
local=False,
driver_id=None,... | [
"def",
"register_custom_serializer",
"(",
"cls",
",",
"use_pickle",
"=",
"False",
",",
"use_dict",
"=",
"False",
",",
"serializer",
"=",
"None",
",",
"deserializer",
"=",
"None",
",",
"local",
"=",
"False",
",",
"driver_id",
"=",
"None",
",",
"class_id",
"... | Enable serialization and deserialization for a particular class.
This method runs the register_class function defined below on every worker,
which will enable ray to properly serialize and deserialize objects of
this class.
Args:
cls (type): The class that ray should use this custom serializer... | [
"Enable",
"serialization",
"and",
"deserialization",
"for",
"a",
"particular",
"class",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/worker.py#L2048-L2148 |
24,312 | ray-project/ray | python/ray/worker.py | get | def get(object_ids):
"""Get a remote object or a list of remote objects from the object store.
This method blocks until the object corresponding to the object ID is
available in the local object store. If this object is not in the local
object store, it will be shipped from an object store that has it ... | python | def get(object_ids):
"""Get a remote object or a list of remote objects from the object store.
This method blocks until the object corresponding to the object ID is
available in the local object store. If this object is not in the local
object store, it will be shipped from an object store that has it ... | [
"def",
"get",
"(",
"object_ids",
")",
":",
"worker",
"=",
"global_worker",
"worker",
".",
"check_connected",
"(",
")",
"with",
"profiling",
".",
"profile",
"(",
"\"ray.get\"",
")",
":",
"if",
"worker",
".",
"mode",
"==",
"LOCAL_MODE",
":",
"# In LOCAL_MODE, ... | Get a remote object or a list of remote objects from the object store.
This method blocks until the object corresponding to the object ID is
available in the local object store. If this object is not in the local
object store, it will be shipped from an object store that has it (once the
object has bee... | [
"Get",
"a",
"remote",
"object",
"or",
"a",
"list",
"of",
"remote",
"objects",
"from",
"the",
"object",
"store",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/worker.py#L2151-L2194 |
24,313 | ray-project/ray | python/ray/worker.py | put | def put(value):
"""Store an object in the object store.
Args:
value: The Python object to be stored.
Returns:
The object ID assigned to this value.
"""
worker = global_worker
worker.check_connected()
with profiling.profile("ray.put"):
if worker.mode == LOCAL_MODE:
... | python | def put(value):
"""Store an object in the object store.
Args:
value: The Python object to be stored.
Returns:
The object ID assigned to this value.
"""
worker = global_worker
worker.check_connected()
with profiling.profile("ray.put"):
if worker.mode == LOCAL_MODE:
... | [
"def",
"put",
"(",
"value",
")",
":",
"worker",
"=",
"global_worker",
"worker",
".",
"check_connected",
"(",
")",
"with",
"profiling",
".",
"profile",
"(",
"\"ray.put\"",
")",
":",
"if",
"worker",
".",
"mode",
"==",
"LOCAL_MODE",
":",
"# In LOCAL_MODE, ray.p... | Store an object in the object store.
Args:
value: The Python object to be stored.
Returns:
The object ID assigned to this value. | [
"Store",
"an",
"object",
"in",
"the",
"object",
"store",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/worker.py#L2197-L2218 |
24,314 | ray-project/ray | python/ray/worker.py | remote | def remote(*args, **kwargs):
"""Define a remote function or an actor class.
This can be used with no arguments to define a remote function or actor as
follows:
.. code-block:: python
@ray.remote
def f():
return 1
@ray.remote
class Foo(object):
... | python | def remote(*args, **kwargs):
"""Define a remote function or an actor class.
This can be used with no arguments to define a remote function or actor as
follows:
.. code-block:: python
@ray.remote
def f():
return 1
@ray.remote
class Foo(object):
... | [
"def",
"remote",
"(",
"*",
"args",
",",
"*",
"*",
"kwargs",
")",
":",
"worker",
"=",
"get_global_worker",
"(",
")",
"if",
"len",
"(",
"args",
")",
"==",
"1",
"and",
"len",
"(",
"kwargs",
")",
"==",
"0",
"and",
"callable",
"(",
"args",
"[",
"0",
... | Define a remote function or an actor class.
This can be used with no arguments to define a remote function or actor as
follows:
.. code-block:: python
@ray.remote
def f():
return 1
@ray.remote
class Foo(object):
def method(self):
re... | [
"Define",
"a",
"remote",
"function",
"or",
"an",
"actor",
"class",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/worker.py#L2369-L2467 |
24,315 | ray-project/ray | python/ray/worker.py | Worker.task_context | def task_context(self):
"""A thread-local that contains the following attributes.
current_task_id: For the main thread, this field is the ID of this
worker's current running task; for other threads, this field is a
fake random ID.
task_index: The number of tasks that hav... | python | def task_context(self):
"""A thread-local that contains the following attributes.
current_task_id: For the main thread, this field is the ID of this
worker's current running task; for other threads, this field is a
fake random ID.
task_index: The number of tasks that hav... | [
"def",
"task_context",
"(",
"self",
")",
":",
"if",
"not",
"hasattr",
"(",
"self",
".",
"_task_context",
",",
"\"initialized\"",
")",
":",
"# Initialize task_context for the current thread.",
"if",
"ray",
".",
"utils",
".",
"is_main_thread",
"(",
")",
":",
"# If... | A thread-local that contains the following attributes.
current_task_id: For the main thread, this field is the ID of this
worker's current running task; for other threads, this field is a
fake random ID.
task_index: The number of tasks that have been submitted from the
... | [
"A",
"thread",
"-",
"local",
"that",
"contains",
"the",
"following",
"attributes",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/worker.py#L175-L210 |
24,316 | ray-project/ray | python/ray/worker.py | Worker.get_serialization_context | def get_serialization_context(self, driver_id):
"""Get the SerializationContext of the driver that this worker is processing.
Args:
driver_id: The ID of the driver that indicates which driver to get
the serialization context for.
Returns:
The serializati... | python | def get_serialization_context(self, driver_id):
"""Get the SerializationContext of the driver that this worker is processing.
Args:
driver_id: The ID of the driver that indicates which driver to get
the serialization context for.
Returns:
The serializati... | [
"def",
"get_serialization_context",
"(",
"self",
",",
"driver_id",
")",
":",
"# This function needs to be proctected by a lock, because it will be",
"# called by`register_class_for_serialization`, as well as the import",
"# thread, from different threads. Also, this function will recursively",
... | Get the SerializationContext of the driver that this worker is processing.
Args:
driver_id: The ID of the driver that indicates which driver to get
the serialization context for.
Returns:
The serialization context of the given driver. | [
"Get",
"the",
"SerializationContext",
"of",
"the",
"driver",
"that",
"this",
"worker",
"is",
"processing",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/worker.py#L227-L244 |
24,317 | ray-project/ray | python/ray/worker.py | Worker.store_and_register | def store_and_register(self, object_id, value, depth=100):
"""Store an object and attempt to register its class if needed.
Args:
object_id: The ID of the object to store.
value: The value to put in the object store.
depth: The maximum number of classes to recursively... | python | def store_and_register(self, object_id, value, depth=100):
"""Store an object and attempt to register its class if needed.
Args:
object_id: The ID of the object to store.
value: The value to put in the object store.
depth: The maximum number of classes to recursively... | [
"def",
"store_and_register",
"(",
"self",
",",
"object_id",
",",
"value",
",",
"depth",
"=",
"100",
")",
":",
"counter",
"=",
"0",
"while",
"True",
":",
"if",
"counter",
"==",
"depth",
":",
"raise",
"Exception",
"(",
"\"Ray exceeded the maximum number of class... | Store an object and attempt to register its class if needed.
Args:
object_id: The ID of the object to store.
value: The value to put in the object store.
depth: The maximum number of classes to recursively register.
Raises:
Exception: An exception is rai... | [
"Store",
"an",
"object",
"and",
"attempt",
"to",
"register",
"its",
"class",
"if",
"needed",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/worker.py#L276-L350 |
24,318 | ray-project/ray | python/ray/worker.py | Worker.put_object | def put_object(self, object_id, value):
"""Put value in the local object store with object id objectid.
This assumes that the value for objectid has not yet been placed in the
local object store.
Args:
object_id (object_id.ObjectID): The object ID of the value to be
... | python | def put_object(self, object_id, value):
"""Put value in the local object store with object id objectid.
This assumes that the value for objectid has not yet been placed in the
local object store.
Args:
object_id (object_id.ObjectID): The object ID of the value to be
... | [
"def",
"put_object",
"(",
"self",
",",
"object_id",
",",
"value",
")",
":",
"# Make sure that the value is not an object ID.",
"if",
"isinstance",
"(",
"value",
",",
"ObjectID",
")",
":",
"raise",
"TypeError",
"(",
"\"Calling 'put' on an ray.ObjectID is not allowed \"",
... | Put value in the local object store with object id objectid.
This assumes that the value for objectid has not yet been placed in the
local object store.
Args:
object_id (object_id.ObjectID): The object ID of the value to be
put.
value: The value to put i... | [
"Put",
"value",
"in",
"the",
"local",
"object",
"store",
"with",
"object",
"id",
"objectid",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/worker.py#L352-L400 |
24,319 | ray-project/ray | python/ray/worker.py | Worker.get_object | def get_object(self, object_ids):
"""Get the value or values in the object store associated with the IDs.
Return the values from the local object store for object_ids. This will
block until all the values for object_ids have been written to the
local object store.
Args:
... | python | def get_object(self, object_ids):
"""Get the value or values in the object store associated with the IDs.
Return the values from the local object store for object_ids. This will
block until all the values for object_ids have been written to the
local object store.
Args:
... | [
"def",
"get_object",
"(",
"self",
",",
"object_ids",
")",
":",
"# Make sure that the values are object IDs.",
"for",
"object_id",
"in",
"object_ids",
":",
"if",
"not",
"isinstance",
"(",
"object_id",
",",
"ObjectID",
")",
":",
"raise",
"TypeError",
"(",
"\"Attempt... | Get the value or values in the object store associated with the IDs.
Return the values from the local object store for object_ids. This will
block until all the values for object_ids have been written to the
local object store.
Args:
object_ids (List[object_id.ObjectID]): A... | [
"Get",
"the",
"value",
"or",
"values",
"in",
"the",
"object",
"store",
"associated",
"with",
"the",
"IDs",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/worker.py#L479-L559 |
24,320 | ray-project/ray | python/ray/worker.py | Worker.submit_task | def submit_task(self,
function_descriptor,
args,
actor_id=None,
actor_handle_id=None,
actor_counter=0,
actor_creation_id=None,
actor_creation_dummy_object_id=None,
... | python | def submit_task(self,
function_descriptor,
args,
actor_id=None,
actor_handle_id=None,
actor_counter=0,
actor_creation_id=None,
actor_creation_dummy_object_id=None,
... | [
"def",
"submit_task",
"(",
"self",
",",
"function_descriptor",
",",
"args",
",",
"actor_id",
"=",
"None",
",",
"actor_handle_id",
"=",
"None",
",",
"actor_counter",
"=",
"0",
",",
"actor_creation_id",
"=",
"None",
",",
"actor_creation_dummy_object_id",
"=",
"Non... | Submit a remote task to the scheduler.
Tell the scheduler to schedule the execution of the function with
function_descriptor with arguments args. Retrieve object IDs for the
outputs of the function from the scheduler and immediately return them.
Args:
function_descriptor: T... | [
"Submit",
"a",
"remote",
"task",
"to",
"the",
"scheduler",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/worker.py#L561-L699 |
24,321 | ray-project/ray | python/ray/worker.py | Worker.run_function_on_all_workers | def run_function_on_all_workers(self, function,
run_on_other_drivers=False):
"""Run arbitrary code on all of the workers.
This function will first be run on the driver, and then it will be
exported to all of the workers to be run. It will also be run on any
... | python | def run_function_on_all_workers(self, function,
run_on_other_drivers=False):
"""Run arbitrary code on all of the workers.
This function will first be run on the driver, and then it will be
exported to all of the workers to be run. It will also be run on any
... | [
"def",
"run_function_on_all_workers",
"(",
"self",
",",
"function",
",",
"run_on_other_drivers",
"=",
"False",
")",
":",
"# If ray.init has not been called yet, then cache the function and",
"# export it when connect is called. Otherwise, run the function on all",
"# workers.",
"if",
... | Run arbitrary code on all of the workers.
This function will first be run on the driver, and then it will be
exported to all of the workers to be run. It will also be run on any
new workers that register later. If ray.init has not been called yet,
then cache the function and export it l... | [
"Run",
"arbitrary",
"code",
"on",
"all",
"of",
"the",
"workers",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/worker.py#L701-L752 |
24,322 | ray-project/ray | python/ray/worker.py | Worker._get_arguments_for_execution | def _get_arguments_for_execution(self, function_name, serialized_args):
"""Retrieve the arguments for the remote function.
This retrieves the values for the arguments to the remote function that
were passed in as object IDs. Arguments that were passed by value are
not changed. This is c... | python | def _get_arguments_for_execution(self, function_name, serialized_args):
"""Retrieve the arguments for the remote function.
This retrieves the values for the arguments to the remote function that
were passed in as object IDs. Arguments that were passed by value are
not changed. This is c... | [
"def",
"_get_arguments_for_execution",
"(",
"self",
",",
"function_name",
",",
"serialized_args",
")",
":",
"arguments",
"=",
"[",
"]",
"for",
"(",
"i",
",",
"arg",
")",
"in",
"enumerate",
"(",
"serialized_args",
")",
":",
"if",
"isinstance",
"(",
"arg",
"... | Retrieve the arguments for the remote function.
This retrieves the values for the arguments to the remote function that
were passed in as object IDs. Arguments that were passed by value are
not changed. This is called by the worker that is executing the remote
function.
Args:
... | [
"Retrieve",
"the",
"arguments",
"for",
"the",
"remote",
"function",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/worker.py#L759-L794 |
24,323 | ray-project/ray | python/ray/worker.py | Worker._store_outputs_in_object_store | def _store_outputs_in_object_store(self, object_ids, outputs):
"""Store the outputs of a remote function in the local object store.
This stores the values that were returned by a remote function in the
local object store. If any of the return values are object IDs, then
these object IDs... | python | def _store_outputs_in_object_store(self, object_ids, outputs):
"""Store the outputs of a remote function in the local object store.
This stores the values that were returned by a remote function in the
local object store. If any of the return values are object IDs, then
these object IDs... | [
"def",
"_store_outputs_in_object_store",
"(",
"self",
",",
"object_ids",
",",
"outputs",
")",
":",
"for",
"i",
"in",
"range",
"(",
"len",
"(",
"object_ids",
")",
")",
":",
"if",
"isinstance",
"(",
"outputs",
"[",
"i",
"]",
",",
"ray",
".",
"actor",
"."... | Store the outputs of a remote function in the local object store.
This stores the values that were returned by a remote function in the
local object store. If any of the return values are object IDs, then
these object IDs are aliased with the object IDs that the scheduler
assigned for t... | [
"Store",
"the",
"outputs",
"of",
"a",
"remote",
"function",
"in",
"the",
"local",
"object",
"store",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/worker.py#L796-L828 |
24,324 | ray-project/ray | python/ray/worker.py | Worker._process_task | def _process_task(self, task, function_execution_info):
"""Execute a task assigned to this worker.
This method deserializes a task from the scheduler, and attempts to
execute the task. If the task succeeds, the outputs are stored in the
local object store. If the task throws an exceptio... | python | def _process_task(self, task, function_execution_info):
"""Execute a task assigned to this worker.
This method deserializes a task from the scheduler, and attempts to
execute the task. If the task succeeds, the outputs are stored in the
local object store. If the task throws an exceptio... | [
"def",
"_process_task",
"(",
"self",
",",
"task",
",",
"function_execution_info",
")",
":",
"assert",
"self",
".",
"current_task_id",
".",
"is_nil",
"(",
")",
"assert",
"self",
".",
"task_context",
".",
"task_index",
"==",
"0",
"assert",
"self",
".",
"task_c... | Execute a task assigned to this worker.
This method deserializes a task from the scheduler, and attempts to
execute the task. If the task succeeds, the outputs are stored in the
local object store. If the task throws an exception, RayTaskError
objects are stored in the object store to r... | [
"Execute",
"a",
"task",
"assigned",
"to",
"this",
"worker",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/worker.py#L830-L921 |
24,325 | ray-project/ray | python/ray/worker.py | Worker._wait_for_and_process_task | def _wait_for_and_process_task(self, task):
"""Wait for a task to be ready and process the task.
Args:
task: The task to execute.
"""
function_descriptor = FunctionDescriptor.from_bytes_list(
task.function_descriptor_list())
driver_id = task.driver_id()
... | python | def _wait_for_and_process_task(self, task):
"""Wait for a task to be ready and process the task.
Args:
task: The task to execute.
"""
function_descriptor = FunctionDescriptor.from_bytes_list(
task.function_descriptor_list())
driver_id = task.driver_id()
... | [
"def",
"_wait_for_and_process_task",
"(",
"self",
",",
"task",
")",
":",
"function_descriptor",
"=",
"FunctionDescriptor",
".",
"from_bytes_list",
"(",
"task",
".",
"function_descriptor_list",
"(",
")",
")",
"driver_id",
"=",
"task",
".",
"driver_id",
"(",
")",
... | Wait for a task to be ready and process the task.
Args:
task: The task to execute. | [
"Wait",
"for",
"a",
"task",
"to",
"be",
"ready",
"and",
"process",
"the",
"task",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/worker.py#L943-L1012 |
24,326 | ray-project/ray | python/ray/worker.py | Worker._get_next_task_from_raylet | def _get_next_task_from_raylet(self):
"""Get the next task from the raylet.
Returns:
A task from the raylet.
"""
with profiling.profile("worker_idle"):
task = self.raylet_client.get_task()
# Automatically restrict the GPUs available to this task.
... | python | def _get_next_task_from_raylet(self):
"""Get the next task from the raylet.
Returns:
A task from the raylet.
"""
with profiling.profile("worker_idle"):
task = self.raylet_client.get_task()
# Automatically restrict the GPUs available to this task.
... | [
"def",
"_get_next_task_from_raylet",
"(",
"self",
")",
":",
"with",
"profiling",
".",
"profile",
"(",
"\"worker_idle\"",
")",
":",
"task",
"=",
"self",
".",
"raylet_client",
".",
"get_task",
"(",
")",
"# Automatically restrict the GPUs available to this task.",
"ray",... | Get the next task from the raylet.
Returns:
A task from the raylet. | [
"Get",
"the",
"next",
"task",
"from",
"the",
"raylet",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/worker.py#L1014-L1026 |
24,327 | ray-project/ray | python/ray/worker.py | Worker.main_loop | def main_loop(self):
"""The main loop a worker runs to receive and execute tasks."""
def exit(signum, frame):
shutdown()
sys.exit(0)
signal.signal(signal.SIGTERM, exit)
while True:
task = self._get_next_task_from_raylet()
self._wait_for_... | python | def main_loop(self):
"""The main loop a worker runs to receive and execute tasks."""
def exit(signum, frame):
shutdown()
sys.exit(0)
signal.signal(signal.SIGTERM, exit)
while True:
task = self._get_next_task_from_raylet()
self._wait_for_... | [
"def",
"main_loop",
"(",
"self",
")",
":",
"def",
"exit",
"(",
"signum",
",",
"frame",
")",
":",
"shutdown",
"(",
")",
"sys",
".",
"exit",
"(",
"0",
")",
"signal",
".",
"signal",
"(",
"signal",
".",
"SIGTERM",
",",
"exit",
")",
"while",
"True",
"... | The main loop a worker runs to receive and execute tasks. | [
"The",
"main",
"loop",
"a",
"worker",
"runs",
"to",
"receive",
"and",
"execute",
"tasks",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/worker.py#L1028-L1039 |
24,328 | ray-project/ray | python/ray/rllib/agents/ppo/utils.py | flatten | def flatten(weights, start=0, stop=2):
"""This methods reshapes all values in a dictionary.
The indices from start to stop will be flattened into a single index.
Args:
weights: A dictionary mapping keys to numpy arrays.
start: The starting index.
stop: The ending index.
"""
... | python | def flatten(weights, start=0, stop=2):
"""This methods reshapes all values in a dictionary.
The indices from start to stop will be flattened into a single index.
Args:
weights: A dictionary mapping keys to numpy arrays.
start: The starting index.
stop: The ending index.
"""
... | [
"def",
"flatten",
"(",
"weights",
",",
"start",
"=",
"0",
",",
"stop",
"=",
"2",
")",
":",
"for",
"key",
",",
"val",
"in",
"weights",
".",
"items",
"(",
")",
":",
"new_shape",
"=",
"val",
".",
"shape",
"[",
"0",
":",
"start",
"]",
"+",
"(",
"... | This methods reshapes all values in a dictionary.
The indices from start to stop will be flattened into a single index.
Args:
weights: A dictionary mapping keys to numpy arrays.
start: The starting index.
stop: The ending index. | [
"This",
"methods",
"reshapes",
"all",
"values",
"in",
"a",
"dictionary",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/rllib/agents/ppo/utils.py#L8-L21 |
24,329 | ray-project/ray | python/ray/node.py | Node.address_info | def address_info(self):
"""Get a dictionary of addresses."""
return {
"node_ip_address": self._node_ip_address,
"redis_address": self._redis_address,
"object_store_address": self._plasma_store_socket_name,
"raylet_socket_name": self._raylet_socket_name,
... | python | def address_info(self):
"""Get a dictionary of addresses."""
return {
"node_ip_address": self._node_ip_address,
"redis_address": self._redis_address,
"object_store_address": self._plasma_store_socket_name,
"raylet_socket_name": self._raylet_socket_name,
... | [
"def",
"address_info",
"(",
"self",
")",
":",
"return",
"{",
"\"node_ip_address\"",
":",
"self",
".",
"_node_ip_address",
",",
"\"redis_address\"",
":",
"self",
".",
"_redis_address",
",",
"\"object_store_address\"",
":",
"self",
".",
"_plasma_store_socket_name",
",... | Get a dictionary of addresses. | [
"Get",
"a",
"dictionary",
"of",
"addresses",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/node.py#L199-L207 |
24,330 | ray-project/ray | python/ray/node.py | Node.create_redis_client | def create_redis_client(self):
"""Create a redis client."""
return ray.services.create_redis_client(
self._redis_address, self._ray_params.redis_password) | python | def create_redis_client(self):
"""Create a redis client."""
return ray.services.create_redis_client(
self._redis_address, self._ray_params.redis_password) | [
"def",
"create_redis_client",
"(",
"self",
")",
":",
"return",
"ray",
".",
"services",
".",
"create_redis_client",
"(",
"self",
".",
"_redis_address",
",",
"self",
".",
"_ray_params",
".",
"redis_password",
")"
] | Create a redis client. | [
"Create",
"a",
"redis",
"client",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/node.py#L209-L212 |
24,331 | ray-project/ray | python/ray/node.py | Node._make_inc_temp | def _make_inc_temp(self, suffix="", prefix="", directory_name="/tmp/ray"):
"""Return a incremental temporary file name. The file is not created.
Args:
suffix (str): The suffix of the temp file.
prefix (str): The prefix of the temp file.
directory_name (str) : The bas... | python | def _make_inc_temp(self, suffix="", prefix="", directory_name="/tmp/ray"):
"""Return a incremental temporary file name. The file is not created.
Args:
suffix (str): The suffix of the temp file.
prefix (str): The prefix of the temp file.
directory_name (str) : The bas... | [
"def",
"_make_inc_temp",
"(",
"self",
",",
"suffix",
"=",
"\"\"",
",",
"prefix",
"=",
"\"\"",
",",
"directory_name",
"=",
"\"/tmp/ray\"",
")",
":",
"directory_name",
"=",
"os",
".",
"path",
".",
"expanduser",
"(",
"directory_name",
")",
"index",
"=",
"self... | Return a incremental temporary file name. The file is not created.
Args:
suffix (str): The suffix of the temp file.
prefix (str): The prefix of the temp file.
directory_name (str) : The base directory of the temp file.
Returns:
A string of file name. If ... | [
"Return",
"a",
"incremental",
"temporary",
"file",
"name",
".",
"The",
"file",
"is",
"not",
"created",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/node.py#L226-L256 |
24,332 | ray-project/ray | python/ray/node.py | Node.new_log_files | def new_log_files(self, name, redirect_output=True):
"""Generate partially randomized filenames for log files.
Args:
name (str): descriptive string for this log file.
redirect_output (bool): True if files should be generated for
logging stdout and stderr and fals... | python | def new_log_files(self, name, redirect_output=True):
"""Generate partially randomized filenames for log files.
Args:
name (str): descriptive string for this log file.
redirect_output (bool): True if files should be generated for
logging stdout and stderr and fals... | [
"def",
"new_log_files",
"(",
"self",
",",
"name",
",",
"redirect_output",
"=",
"True",
")",
":",
"if",
"redirect_output",
"is",
"None",
":",
"redirect_output",
"=",
"self",
".",
"_ray_params",
".",
"redirect_output",
"if",
"not",
"redirect_output",
":",
"retur... | Generate partially randomized filenames for log files.
Args:
name (str): descriptive string for this log file.
redirect_output (bool): True if files should be generated for
logging stdout and stderr and false if stdout and stderr
should not be redirected.... | [
"Generate",
"partially",
"randomized",
"filenames",
"for",
"log",
"files",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/node.py#L258-L287 |
24,333 | ray-project/ray | python/ray/node.py | Node._prepare_socket_file | def _prepare_socket_file(self, socket_path, default_prefix):
"""Prepare the socket file for raylet and plasma.
This method helps to prepare a socket file.
1. Make the directory if the directory does not exist.
2. If the socket file exists, raise exception.
Args:
soc... | python | def _prepare_socket_file(self, socket_path, default_prefix):
"""Prepare the socket file for raylet and plasma.
This method helps to prepare a socket file.
1. Make the directory if the directory does not exist.
2. If the socket file exists, raise exception.
Args:
soc... | [
"def",
"_prepare_socket_file",
"(",
"self",
",",
"socket_path",
",",
"default_prefix",
")",
":",
"if",
"socket_path",
"is",
"not",
"None",
":",
"if",
"os",
".",
"path",
".",
"exists",
"(",
"socket_path",
")",
":",
"raise",
"Exception",
"(",
"\"Socket file {}... | Prepare the socket file for raylet and plasma.
This method helps to prepare a socket file.
1. Make the directory if the directory does not exist.
2. If the socket file exists, raise exception.
Args:
socket_path (string): the socket file to prepare. | [
"Prepare",
"the",
"socket",
"file",
"for",
"raylet",
"and",
"plasma",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/node.py#L289-L306 |
24,334 | ray-project/ray | python/ray/node.py | Node.start_redis | def start_redis(self):
"""Start the Redis servers."""
assert self._redis_address is None
redis_log_files = [self.new_log_files("redis")]
for i in range(self._ray_params.num_redis_shards):
redis_log_files.append(self.new_log_files("redis-shard_" + str(i)))
(self._redi... | python | def start_redis(self):
"""Start the Redis servers."""
assert self._redis_address is None
redis_log_files = [self.new_log_files("redis")]
for i in range(self._ray_params.num_redis_shards):
redis_log_files.append(self.new_log_files("redis-shard_" + str(i)))
(self._redi... | [
"def",
"start_redis",
"(",
"self",
")",
":",
"assert",
"self",
".",
"_redis_address",
"is",
"None",
"redis_log_files",
"=",
"[",
"self",
".",
"new_log_files",
"(",
"\"redis\"",
")",
"]",
"for",
"i",
"in",
"range",
"(",
"self",
".",
"_ray_params",
".",
"n... | Start the Redis servers. | [
"Start",
"the",
"Redis",
"servers",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/node.py#L308-L330 |
24,335 | ray-project/ray | python/ray/node.py | Node.start_log_monitor | def start_log_monitor(self):
"""Start the log monitor."""
stdout_file, stderr_file = self.new_log_files("log_monitor")
process_info = ray.services.start_log_monitor(
self.redis_address,
self._logs_dir,
stdout_file=stdout_file,
stderr_file=stderr_fi... | python | def start_log_monitor(self):
"""Start the log monitor."""
stdout_file, stderr_file = self.new_log_files("log_monitor")
process_info = ray.services.start_log_monitor(
self.redis_address,
self._logs_dir,
stdout_file=stdout_file,
stderr_file=stderr_fi... | [
"def",
"start_log_monitor",
"(",
"self",
")",
":",
"stdout_file",
",",
"stderr_file",
"=",
"self",
".",
"new_log_files",
"(",
"\"log_monitor\"",
")",
"process_info",
"=",
"ray",
".",
"services",
".",
"start_log_monitor",
"(",
"self",
".",
"redis_address",
",",
... | Start the log monitor. | [
"Start",
"the",
"log",
"monitor",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/node.py#L332-L344 |
24,336 | ray-project/ray | python/ray/node.py | Node.start_reporter | def start_reporter(self):
"""Start the reporter."""
stdout_file, stderr_file = self.new_log_files("reporter", True)
process_info = ray.services.start_reporter(
self.redis_address,
stdout_file=stdout_file,
stderr_file=stderr_file,
redis_password=sel... | python | def start_reporter(self):
"""Start the reporter."""
stdout_file, stderr_file = self.new_log_files("reporter", True)
process_info = ray.services.start_reporter(
self.redis_address,
stdout_file=stdout_file,
stderr_file=stderr_file,
redis_password=sel... | [
"def",
"start_reporter",
"(",
"self",
")",
":",
"stdout_file",
",",
"stderr_file",
"=",
"self",
".",
"new_log_files",
"(",
"\"reporter\"",
",",
"True",
")",
"process_info",
"=",
"ray",
".",
"services",
".",
"start_reporter",
"(",
"self",
".",
"redis_address",
... | Start the reporter. | [
"Start",
"the",
"reporter",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/node.py#L346-L358 |
24,337 | ray-project/ray | python/ray/node.py | Node.start_dashboard | def start_dashboard(self):
"""Start the dashboard."""
stdout_file, stderr_file = self.new_log_files("dashboard", True)
self._webui_url, process_info = ray.services.start_dashboard(
self.redis_address,
self._temp_dir,
stdout_file=stdout_file,
stderr... | python | def start_dashboard(self):
"""Start the dashboard."""
stdout_file, stderr_file = self.new_log_files("dashboard", True)
self._webui_url, process_info = ray.services.start_dashboard(
self.redis_address,
self._temp_dir,
stdout_file=stdout_file,
stderr... | [
"def",
"start_dashboard",
"(",
"self",
")",
":",
"stdout_file",
",",
"stderr_file",
"=",
"self",
".",
"new_log_files",
"(",
"\"dashboard\"",
",",
"True",
")",
"self",
".",
"_webui_url",
",",
"process_info",
"=",
"ray",
".",
"services",
".",
"start_dashboard",
... | Start the dashboard. | [
"Start",
"the",
"dashboard",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/node.py#L360-L375 |
24,338 | ray-project/ray | python/ray/node.py | Node.start_plasma_store | def start_plasma_store(self):
"""Start the plasma store."""
stdout_file, stderr_file = self.new_log_files("plasma_store")
process_info = ray.services.start_plasma_store(
stdout_file=stdout_file,
stderr_file=stderr_file,
object_store_memory=self._ray_params.obj... | python | def start_plasma_store(self):
"""Start the plasma store."""
stdout_file, stderr_file = self.new_log_files("plasma_store")
process_info = ray.services.start_plasma_store(
stdout_file=stdout_file,
stderr_file=stderr_file,
object_store_memory=self._ray_params.obj... | [
"def",
"start_plasma_store",
"(",
"self",
")",
":",
"stdout_file",
",",
"stderr_file",
"=",
"self",
".",
"new_log_files",
"(",
"\"plasma_store\"",
")",
"process_info",
"=",
"ray",
".",
"services",
".",
"start_plasma_store",
"(",
"stdout_file",
"=",
"stdout_file",
... | Start the plasma store. | [
"Start",
"the",
"plasma",
"store",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/node.py#L377-L391 |
24,339 | ray-project/ray | python/ray/node.py | Node.start_raylet | def start_raylet(self, use_valgrind=False, use_profiler=False):
"""Start the raylet.
Args:
use_valgrind (bool): True if we should start the process in
valgrind.
use_profiler (bool): True if we should start the process in the
valgrind profiler.
... | python | def start_raylet(self, use_valgrind=False, use_profiler=False):
"""Start the raylet.
Args:
use_valgrind (bool): True if we should start the process in
valgrind.
use_profiler (bool): True if we should start the process in the
valgrind profiler.
... | [
"def",
"start_raylet",
"(",
"self",
",",
"use_valgrind",
"=",
"False",
",",
"use_profiler",
"=",
"False",
")",
":",
"stdout_file",
",",
"stderr_file",
"=",
"self",
".",
"new_log_files",
"(",
"\"raylet\"",
")",
"process_info",
"=",
"ray",
".",
"services",
"."... | Start the raylet.
Args:
use_valgrind (bool): True if we should start the process in
valgrind.
use_profiler (bool): True if we should start the process in the
valgrind profiler. | [
"Start",
"the",
"raylet",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/node.py#L393-L426 |
24,340 | ray-project/ray | python/ray/node.py | Node.new_worker_redirected_log_file | def new_worker_redirected_log_file(self, worker_id):
"""Create new logging files for workers to redirect its output."""
worker_stdout_file, worker_stderr_file = (self.new_log_files(
"worker-" + ray.utils.binary_to_hex(worker_id), True))
return worker_stdout_file, worker_stderr_file | python | def new_worker_redirected_log_file(self, worker_id):
"""Create new logging files for workers to redirect its output."""
worker_stdout_file, worker_stderr_file = (self.new_log_files(
"worker-" + ray.utils.binary_to_hex(worker_id), True))
return worker_stdout_file, worker_stderr_file | [
"def",
"new_worker_redirected_log_file",
"(",
"self",
",",
"worker_id",
")",
":",
"worker_stdout_file",
",",
"worker_stderr_file",
"=",
"(",
"self",
".",
"new_log_files",
"(",
"\"worker-\"",
"+",
"ray",
".",
"utils",
".",
"binary_to_hex",
"(",
"worker_id",
")",
... | Create new logging files for workers to redirect its output. | [
"Create",
"new",
"logging",
"files",
"for",
"workers",
"to",
"redirect",
"its",
"output",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/node.py#L428-L432 |
24,341 | ray-project/ray | python/ray/node.py | Node.start_monitor | def start_monitor(self):
"""Start the monitor."""
stdout_file, stderr_file = self.new_log_files("monitor")
process_info = ray.services.start_monitor(
self._redis_address,
stdout_file=stdout_file,
stderr_file=stderr_file,
autoscaling_config=self._ra... | python | def start_monitor(self):
"""Start the monitor."""
stdout_file, stderr_file = self.new_log_files("monitor")
process_info = ray.services.start_monitor(
self._redis_address,
stdout_file=stdout_file,
stderr_file=stderr_file,
autoscaling_config=self._ra... | [
"def",
"start_monitor",
"(",
"self",
")",
":",
"stdout_file",
",",
"stderr_file",
"=",
"self",
".",
"new_log_files",
"(",
"\"monitor\"",
")",
"process_info",
"=",
"ray",
".",
"services",
".",
"start_monitor",
"(",
"self",
".",
"_redis_address",
",",
"stdout_fi... | Start the monitor. | [
"Start",
"the",
"monitor",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/node.py#L438-L448 |
24,342 | ray-project/ray | python/ray/node.py | Node.start_raylet_monitor | def start_raylet_monitor(self):
"""Start the raylet monitor."""
stdout_file, stderr_file = self.new_log_files("raylet_monitor")
process_info = ray.services.start_raylet_monitor(
self._redis_address,
stdout_file=stdout_file,
stderr_file=stderr_file,
... | python | def start_raylet_monitor(self):
"""Start the raylet monitor."""
stdout_file, stderr_file = self.new_log_files("raylet_monitor")
process_info = ray.services.start_raylet_monitor(
self._redis_address,
stdout_file=stdout_file,
stderr_file=stderr_file,
... | [
"def",
"start_raylet_monitor",
"(",
"self",
")",
":",
"stdout_file",
",",
"stderr_file",
"=",
"self",
".",
"new_log_files",
"(",
"\"raylet_monitor\"",
")",
"process_info",
"=",
"ray",
".",
"services",
".",
"start_raylet_monitor",
"(",
"self",
".",
"_redis_address"... | Start the raylet monitor. | [
"Start",
"the",
"raylet",
"monitor",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/node.py#L450-L463 |
24,343 | ray-project/ray | python/ray/node.py | Node.start_head_processes | def start_head_processes(self):
"""Start head processes on the node."""
logger.info(
"Process STDOUT and STDERR is being redirected to {}.".format(
self._logs_dir))
assert self._redis_address is None
# If this is the head node, start the relevant head node pro... | python | def start_head_processes(self):
"""Start head processes on the node."""
logger.info(
"Process STDOUT and STDERR is being redirected to {}.".format(
self._logs_dir))
assert self._redis_address is None
# If this is the head node, start the relevant head node pro... | [
"def",
"start_head_processes",
"(",
"self",
")",
":",
"logger",
".",
"info",
"(",
"\"Process STDOUT and STDERR is being redirected to {}.\"",
".",
"format",
"(",
"self",
".",
"_logs_dir",
")",
")",
"assert",
"self",
".",
"_redis_address",
"is",
"None",
"# If this is... | Start head processes on the node. | [
"Start",
"head",
"processes",
"on",
"the",
"node",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/node.py#L465-L477 |
24,344 | ray-project/ray | python/ray/node.py | Node.start_ray_processes | def start_ray_processes(self):
"""Start all of the processes on the node."""
logger.info(
"Process STDOUT and STDERR is being redirected to {}.".format(
self._logs_dir))
self.start_plasma_store()
self.start_raylet()
if PY3:
self.start_repo... | python | def start_ray_processes(self):
"""Start all of the processes on the node."""
logger.info(
"Process STDOUT and STDERR is being redirected to {}.".format(
self._logs_dir))
self.start_plasma_store()
self.start_raylet()
if PY3:
self.start_repo... | [
"def",
"start_ray_processes",
"(",
"self",
")",
":",
"logger",
".",
"info",
"(",
"\"Process STDOUT and STDERR is being redirected to {}.\"",
".",
"format",
"(",
"self",
".",
"_logs_dir",
")",
")",
"self",
".",
"start_plasma_store",
"(",
")",
"self",
".",
"start_ra... | Start all of the processes on the node. | [
"Start",
"all",
"of",
"the",
"processes",
"on",
"the",
"node",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/node.py#L479-L491 |
24,345 | ray-project/ray | python/ray/node.py | Node._kill_process_type | def _kill_process_type(self,
process_type,
allow_graceful=False,
check_alive=True,
wait=False):
"""Kill a process of a given type.
If the process type is PROCESS_TYPE_REDIS_SERVER, then we will k... | python | def _kill_process_type(self,
process_type,
allow_graceful=False,
check_alive=True,
wait=False):
"""Kill a process of a given type.
If the process type is PROCESS_TYPE_REDIS_SERVER, then we will k... | [
"def",
"_kill_process_type",
"(",
"self",
",",
"process_type",
",",
"allow_graceful",
"=",
"False",
",",
"check_alive",
"=",
"True",
",",
"wait",
"=",
"False",
")",
":",
"process_infos",
"=",
"self",
".",
"all_processes",
"[",
"process_type",
"]",
"if",
"pro... | Kill a process of a given type.
If the process type is PROCESS_TYPE_REDIS_SERVER, then we will kill all
of the Redis servers.
If the process was started in valgrind, then we will raise an exception
if the process has a non-zero exit code.
Args:
process_type: The ty... | [
"Kill",
"a",
"process",
"of",
"a",
"given",
"type",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/node.py#L493-L579 |
24,346 | ray-project/ray | python/ray/node.py | Node.kill_redis | def kill_redis(self, check_alive=True):
"""Kill the Redis servers.
Args:
check_alive (bool): Raise an exception if any of the processes
were already dead.
"""
self._kill_process_type(
ray_constants.PROCESS_TYPE_REDIS_SERVER, check_alive=check_aliv... | python | def kill_redis(self, check_alive=True):
"""Kill the Redis servers.
Args:
check_alive (bool): Raise an exception if any of the processes
were already dead.
"""
self._kill_process_type(
ray_constants.PROCESS_TYPE_REDIS_SERVER, check_alive=check_aliv... | [
"def",
"kill_redis",
"(",
"self",
",",
"check_alive",
"=",
"True",
")",
":",
"self",
".",
"_kill_process_type",
"(",
"ray_constants",
".",
"PROCESS_TYPE_REDIS_SERVER",
",",
"check_alive",
"=",
"check_alive",
")"
] | Kill the Redis servers.
Args:
check_alive (bool): Raise an exception if any of the processes
were already dead. | [
"Kill",
"the",
"Redis",
"servers",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/node.py#L581-L589 |
24,347 | ray-project/ray | python/ray/node.py | Node.kill_plasma_store | def kill_plasma_store(self, check_alive=True):
"""Kill the plasma store.
Args:
check_alive (bool): Raise an exception if the process was already
dead.
"""
self._kill_process_type(
ray_constants.PROCESS_TYPE_PLASMA_STORE, check_alive=check_alive) | python | def kill_plasma_store(self, check_alive=True):
"""Kill the plasma store.
Args:
check_alive (bool): Raise an exception if the process was already
dead.
"""
self._kill_process_type(
ray_constants.PROCESS_TYPE_PLASMA_STORE, check_alive=check_alive) | [
"def",
"kill_plasma_store",
"(",
"self",
",",
"check_alive",
"=",
"True",
")",
":",
"self",
".",
"_kill_process_type",
"(",
"ray_constants",
".",
"PROCESS_TYPE_PLASMA_STORE",
",",
"check_alive",
"=",
"check_alive",
")"
] | Kill the plasma store.
Args:
check_alive (bool): Raise an exception if the process was already
dead. | [
"Kill",
"the",
"plasma",
"store",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/node.py#L591-L599 |
24,348 | ray-project/ray | python/ray/node.py | Node.kill_raylet | def kill_raylet(self, check_alive=True):
"""Kill the raylet.
Args:
check_alive (bool): Raise an exception if the process was already
dead.
"""
self._kill_process_type(
ray_constants.PROCESS_TYPE_RAYLET, check_alive=check_alive) | python | def kill_raylet(self, check_alive=True):
"""Kill the raylet.
Args:
check_alive (bool): Raise an exception if the process was already
dead.
"""
self._kill_process_type(
ray_constants.PROCESS_TYPE_RAYLET, check_alive=check_alive) | [
"def",
"kill_raylet",
"(",
"self",
",",
"check_alive",
"=",
"True",
")",
":",
"self",
".",
"_kill_process_type",
"(",
"ray_constants",
".",
"PROCESS_TYPE_RAYLET",
",",
"check_alive",
"=",
"check_alive",
")"
] | Kill the raylet.
Args:
check_alive (bool): Raise an exception if the process was already
dead. | [
"Kill",
"the",
"raylet",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/node.py#L601-L609 |
24,349 | ray-project/ray | python/ray/node.py | Node.kill_log_monitor | def kill_log_monitor(self, check_alive=True):
"""Kill the log monitor.
Args:
check_alive (bool): Raise an exception if the process was already
dead.
"""
self._kill_process_type(
ray_constants.PROCESS_TYPE_LOG_MONITOR, check_alive=check_alive) | python | def kill_log_monitor(self, check_alive=True):
"""Kill the log monitor.
Args:
check_alive (bool): Raise an exception if the process was already
dead.
"""
self._kill_process_type(
ray_constants.PROCESS_TYPE_LOG_MONITOR, check_alive=check_alive) | [
"def",
"kill_log_monitor",
"(",
"self",
",",
"check_alive",
"=",
"True",
")",
":",
"self",
".",
"_kill_process_type",
"(",
"ray_constants",
".",
"PROCESS_TYPE_LOG_MONITOR",
",",
"check_alive",
"=",
"check_alive",
")"
] | Kill the log monitor.
Args:
check_alive (bool): Raise an exception if the process was already
dead. | [
"Kill",
"the",
"log",
"monitor",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/node.py#L611-L619 |
24,350 | ray-project/ray | python/ray/node.py | Node.kill_reporter | def kill_reporter(self, check_alive=True):
"""Kill the reporter.
Args:
check_alive (bool): Raise an exception if the process was already
dead.
"""
# reporter is started only in PY3.
if PY3:
self._kill_process_type(
ray_cons... | python | def kill_reporter(self, check_alive=True):
"""Kill the reporter.
Args:
check_alive (bool): Raise an exception if the process was already
dead.
"""
# reporter is started only in PY3.
if PY3:
self._kill_process_type(
ray_cons... | [
"def",
"kill_reporter",
"(",
"self",
",",
"check_alive",
"=",
"True",
")",
":",
"# reporter is started only in PY3.",
"if",
"PY3",
":",
"self",
".",
"_kill_process_type",
"(",
"ray_constants",
".",
"PROCESS_TYPE_REPORTER",
",",
"check_alive",
"=",
"check_alive",
")"... | Kill the reporter.
Args:
check_alive (bool): Raise an exception if the process was already
dead. | [
"Kill",
"the",
"reporter",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/node.py#L621-L631 |
24,351 | ray-project/ray | python/ray/node.py | Node.kill_dashboard | def kill_dashboard(self, check_alive=True):
"""Kill the dashboard.
Args:
check_alive (bool): Raise an exception if the process was already
dead.
"""
self._kill_process_type(
ray_constants.PROCESS_TYPE_DASHBOARD, check_alive=check_alive) | python | def kill_dashboard(self, check_alive=True):
"""Kill the dashboard.
Args:
check_alive (bool): Raise an exception if the process was already
dead.
"""
self._kill_process_type(
ray_constants.PROCESS_TYPE_DASHBOARD, check_alive=check_alive) | [
"def",
"kill_dashboard",
"(",
"self",
",",
"check_alive",
"=",
"True",
")",
":",
"self",
".",
"_kill_process_type",
"(",
"ray_constants",
".",
"PROCESS_TYPE_DASHBOARD",
",",
"check_alive",
"=",
"check_alive",
")"
] | Kill the dashboard.
Args:
check_alive (bool): Raise an exception if the process was already
dead. | [
"Kill",
"the",
"dashboard",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/node.py#L633-L641 |
24,352 | ray-project/ray | python/ray/node.py | Node.kill_monitor | def kill_monitor(self, check_alive=True):
"""Kill the monitor.
Args:
check_alive (bool): Raise an exception if the process was already
dead.
"""
self._kill_process_type(
ray_constants.PROCESS_TYPE_MONITOR, check_alive=check_alive) | python | def kill_monitor(self, check_alive=True):
"""Kill the monitor.
Args:
check_alive (bool): Raise an exception if the process was already
dead.
"""
self._kill_process_type(
ray_constants.PROCESS_TYPE_MONITOR, check_alive=check_alive) | [
"def",
"kill_monitor",
"(",
"self",
",",
"check_alive",
"=",
"True",
")",
":",
"self",
".",
"_kill_process_type",
"(",
"ray_constants",
".",
"PROCESS_TYPE_MONITOR",
",",
"check_alive",
"=",
"check_alive",
")"
] | Kill the monitor.
Args:
check_alive (bool): Raise an exception if the process was already
dead. | [
"Kill",
"the",
"monitor",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/node.py#L643-L651 |
24,353 | ray-project/ray | python/ray/node.py | Node.kill_raylet_monitor | def kill_raylet_monitor(self, check_alive=True):
"""Kill the raylet monitor.
Args:
check_alive (bool): Raise an exception if the process was already
dead.
"""
self._kill_process_type(
ray_constants.PROCESS_TYPE_RAYLET_MONITOR, check_alive=check_al... | python | def kill_raylet_monitor(self, check_alive=True):
"""Kill the raylet monitor.
Args:
check_alive (bool): Raise an exception if the process was already
dead.
"""
self._kill_process_type(
ray_constants.PROCESS_TYPE_RAYLET_MONITOR, check_alive=check_al... | [
"def",
"kill_raylet_monitor",
"(",
"self",
",",
"check_alive",
"=",
"True",
")",
":",
"self",
".",
"_kill_process_type",
"(",
"ray_constants",
".",
"PROCESS_TYPE_RAYLET_MONITOR",
",",
"check_alive",
"=",
"check_alive",
")"
] | Kill the raylet monitor.
Args:
check_alive (bool): Raise an exception if the process was already
dead. | [
"Kill",
"the",
"raylet",
"monitor",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/node.py#L653-L661 |
24,354 | ray-project/ray | python/ray/node.py | Node.kill_all_processes | def kill_all_processes(self, check_alive=True, allow_graceful=False):
"""Kill all of the processes.
Note that This is slower than necessary because it calls kill, wait,
kill, wait, ... instead of kill, kill, ..., wait, wait, ...
Args:
check_alive (bool): Raise an exception ... | python | def kill_all_processes(self, check_alive=True, allow_graceful=False):
"""Kill all of the processes.
Note that This is slower than necessary because it calls kill, wait,
kill, wait, ... instead of kill, kill, ..., wait, wait, ...
Args:
check_alive (bool): Raise an exception ... | [
"def",
"kill_all_processes",
"(",
"self",
",",
"check_alive",
"=",
"True",
",",
"allow_graceful",
"=",
"False",
")",
":",
"# Kill the raylet first. This is important for suppressing errors at",
"# shutdown because we give the raylet a chance to exit gracefully and",
"# clean up its c... | Kill all of the processes.
Note that This is slower than necessary because it calls kill, wait,
kill, wait, ... instead of kill, kill, ..., wait, wait, ...
Args:
check_alive (bool): Raise an exception if any of the processes were
already dead. | [
"Kill",
"all",
"of",
"the",
"processes",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/node.py#L663-L690 |
24,355 | ray-project/ray | python/ray/node.py | Node.live_processes | def live_processes(self):
"""Return a list of the live processes.
Returns:
A list of the live processes.
"""
result = []
for process_type, process_infos in self.all_processes.items():
for process_info in process_infos:
if process_info.proc... | python | def live_processes(self):
"""Return a list of the live processes.
Returns:
A list of the live processes.
"""
result = []
for process_type, process_infos in self.all_processes.items():
for process_info in process_infos:
if process_info.proc... | [
"def",
"live_processes",
"(",
"self",
")",
":",
"result",
"=",
"[",
"]",
"for",
"process_type",
",",
"process_infos",
"in",
"self",
".",
"all_processes",
".",
"items",
"(",
")",
":",
"for",
"process_info",
"in",
"process_infos",
":",
"if",
"process_info",
... | Return a list of the live processes.
Returns:
A list of the live processes. | [
"Return",
"a",
"list",
"of",
"the",
"live",
"processes",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/node.py#L692-L703 |
24,356 | ray-project/ray | python/ray/rllib/agents/es/es.py | create_shared_noise | def create_shared_noise(count):
"""Create a large array of noise to be shared by all workers."""
seed = 123
noise = np.random.RandomState(seed).randn(count).astype(np.float32)
return noise | python | def create_shared_noise(count):
"""Create a large array of noise to be shared by all workers."""
seed = 123
noise = np.random.RandomState(seed).randn(count).astype(np.float32)
return noise | [
"def",
"create_shared_noise",
"(",
"count",
")",
":",
"seed",
"=",
"123",
"noise",
"=",
"np",
".",
"random",
".",
"RandomState",
"(",
"seed",
")",
".",
"randn",
"(",
"count",
")",
".",
"astype",
"(",
"np",
".",
"float32",
")",
"return",
"noise"
] | Create a large array of noise to be shared by all workers. | [
"Create",
"a",
"large",
"array",
"of",
"noise",
"to",
"be",
"shared",
"by",
"all",
"workers",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/rllib/agents/es/es.py#L51-L55 |
24,357 | ray-project/ray | python/ray/experimental/sgd/tfbench/model_config.py | get_model_config | def get_model_config(model_name, dataset):
"""Map model name to model network configuration."""
model_map = _get_model_map(dataset.name)
if model_name not in model_map:
raise ValueError("Invalid model name \"%s\" for dataset \"%s\"" %
(model_name, dataset.name))
else:
... | python | def get_model_config(model_name, dataset):
"""Map model name to model network configuration."""
model_map = _get_model_map(dataset.name)
if model_name not in model_map:
raise ValueError("Invalid model name \"%s\" for dataset \"%s\"" %
(model_name, dataset.name))
else:
... | [
"def",
"get_model_config",
"(",
"model_name",
",",
"dataset",
")",
":",
"model_map",
"=",
"_get_model_map",
"(",
"dataset",
".",
"name",
")",
"if",
"model_name",
"not",
"in",
"model_map",
":",
"raise",
"ValueError",
"(",
"\"Invalid model name \\\"%s\\\" for dataset ... | Map model name to model network configuration. | [
"Map",
"model",
"name",
"to",
"model",
"network",
"configuration",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/experimental/sgd/tfbench/model_config.py#L41-L48 |
24,358 | ray-project/ray | python/ray/experimental/sgd/tfbench/model_config.py | register_model | def register_model(model_name, dataset_name, model_func):
"""Register a new model that can be obtained with `get_model_config`."""
model_map = _get_model_map(dataset_name)
if model_name in model_map:
raise ValueError("Model \"%s\" is already registered for dataset"
"\"%s\"" ... | python | def register_model(model_name, dataset_name, model_func):
"""Register a new model that can be obtained with `get_model_config`."""
model_map = _get_model_map(dataset_name)
if model_name in model_map:
raise ValueError("Model \"%s\" is already registered for dataset"
"\"%s\"" ... | [
"def",
"register_model",
"(",
"model_name",
",",
"dataset_name",
",",
"model_func",
")",
":",
"model_map",
"=",
"_get_model_map",
"(",
"dataset_name",
")",
"if",
"model_name",
"in",
"model_map",
":",
"raise",
"ValueError",
"(",
"\"Model \\\"%s\\\" is already registere... | Register a new model that can be obtained with `get_model_config`. | [
"Register",
"a",
"new",
"model",
"that",
"can",
"be",
"obtained",
"with",
"get_model_config",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/experimental/sgd/tfbench/model_config.py#L51-L57 |
24,359 | ray-project/ray | python/ray/rllib/agents/ars/policies.py | rollout | def rollout(policy, env, timestep_limit=None, add_noise=False, offset=0):
"""Do a rollout.
If add_noise is True, the rollout will take noisy actions with
noise drawn from that stream. Otherwise, no action noise will be added.
Parameters
----------
policy: tf object
policy from which to... | python | def rollout(policy, env, timestep_limit=None, add_noise=False, offset=0):
"""Do a rollout.
If add_noise is True, the rollout will take noisy actions with
noise drawn from that stream. Otherwise, no action noise will be added.
Parameters
----------
policy: tf object
policy from which to... | [
"def",
"rollout",
"(",
"policy",
",",
"env",
",",
"timestep_limit",
"=",
"None",
",",
"add_noise",
"=",
"False",
",",
"offset",
"=",
"0",
")",
":",
"env_timestep_limit",
"=",
"env",
".",
"spec",
".",
"max_episode_steps",
"timestep_limit",
"=",
"(",
"env_ti... | Do a rollout.
If add_noise is True, the rollout will take noisy actions with
noise drawn from that stream. Otherwise, no action noise will be added.
Parameters
----------
policy: tf object
policy from which to draw actions
env: GymEnv
environment from which to draw rewards, don... | [
"Do",
"a",
"rollout",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/rllib/agents/ars/policies.py#L19-L54 |
24,360 | ray-project/ray | python/ray/tune/suggest/basic_variant.py | BasicVariantGenerator.next_trials | def next_trials(self):
"""Provides Trial objects to be queued into the TrialRunner.
Returns:
trials (list): Returns a list of trials.
"""
trials = list(self._trial_generator)
if self._shuffle:
random.shuffle(trials)
self._finished = True
r... | python | def next_trials(self):
"""Provides Trial objects to be queued into the TrialRunner.
Returns:
trials (list): Returns a list of trials.
"""
trials = list(self._trial_generator)
if self._shuffle:
random.shuffle(trials)
self._finished = True
r... | [
"def",
"next_trials",
"(",
"self",
")",
":",
"trials",
"=",
"list",
"(",
"self",
".",
"_trial_generator",
")",
"if",
"self",
".",
"_shuffle",
":",
"random",
".",
"shuffle",
"(",
"trials",
")",
"self",
".",
"_finished",
"=",
"True",
"return",
"trials"
] | Provides Trial objects to be queued into the TrialRunner.
Returns:
trials (list): Returns a list of trials. | [
"Provides",
"Trial",
"objects",
"to",
"be",
"queued",
"into",
"the",
"TrialRunner",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/tune/suggest/basic_variant.py#L51-L61 |
24,361 | ray-project/ray | python/ray/tune/suggest/basic_variant.py | BasicVariantGenerator._generate_trials | def _generate_trials(self, unresolved_spec, output_path=""):
"""Generates Trial objects with the variant generation process.
Uses a fixed point iteration to resolve variants. All trials
should be able to be generated at once.
See also: `ray.tune.suggest.variant_generator`.
Yie... | python | def _generate_trials(self, unresolved_spec, output_path=""):
"""Generates Trial objects with the variant generation process.
Uses a fixed point iteration to resolve variants. All trials
should be able to be generated at once.
See also: `ray.tune.suggest.variant_generator`.
Yie... | [
"def",
"_generate_trials",
"(",
"self",
",",
"unresolved_spec",
",",
"output_path",
"=",
"\"\"",
")",
":",
"if",
"\"run\"",
"not",
"in",
"unresolved_spec",
":",
"raise",
"TuneError",
"(",
"\"Must specify `run` in {}\"",
".",
"format",
"(",
"unresolved_spec",
")",
... | Generates Trial objects with the variant generation process.
Uses a fixed point iteration to resolve variants. All trials
should be able to be generated at once.
See also: `ray.tune.suggest.variant_generator`.
Yields:
Trial object | [
"Generates",
"Trial",
"objects",
"with",
"the",
"variant",
"generation",
"process",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/tune/suggest/basic_variant.py#L63-L87 |
24,362 | ray-project/ray | python/ray/rllib/optimizers/segment_tree.py | SegmentTree.reduce | def reduce(self, start=0, end=None):
"""Returns result of applying `self.operation`
to a contiguous subsequence of the array.
self.operation(
arr[start], operation(arr[start+1], operation(... arr[end])))
Parameters
----------
start: int
beginni... | python | def reduce(self, start=0, end=None):
"""Returns result of applying `self.operation`
to a contiguous subsequence of the array.
self.operation(
arr[start], operation(arr[start+1], operation(... arr[end])))
Parameters
----------
start: int
beginni... | [
"def",
"reduce",
"(",
"self",
",",
"start",
"=",
"0",
",",
"end",
"=",
"None",
")",
":",
"if",
"end",
"is",
"None",
":",
"end",
"=",
"self",
".",
"_capacity",
"-",
"1",
"if",
"end",
"<",
"0",
":",
"end",
"+=",
"self",
".",
"_capacity",
"return"... | Returns result of applying `self.operation`
to a contiguous subsequence of the array.
self.operation(
arr[start], operation(arr[start+1], operation(... arr[end])))
Parameters
----------
start: int
beginning of the subsequence
end: int
... | [
"Returns",
"result",
"of",
"applying",
"self",
".",
"operation",
"to",
"a",
"contiguous",
"subsequence",
"of",
"the",
"array",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/rllib/optimizers/segment_tree.py#L59-L83 |
24,363 | ray-project/ray | python/ray/experimental/gcs_flush_policy.py | set_flushing_policy | def set_flushing_policy(flushing_policy):
"""Serialize this policy for Monitor to pick up."""
if "RAY_USE_NEW_GCS" not in os.environ:
raise Exception(
"set_flushing_policy() is only available when environment "
"variable RAY_USE_NEW_GCS is present at both compile and run time."
... | python | def set_flushing_policy(flushing_policy):
"""Serialize this policy for Monitor to pick up."""
if "RAY_USE_NEW_GCS" not in os.environ:
raise Exception(
"set_flushing_policy() is only available when environment "
"variable RAY_USE_NEW_GCS is present at both compile and run time."
... | [
"def",
"set_flushing_policy",
"(",
"flushing_policy",
")",
":",
"if",
"\"RAY_USE_NEW_GCS\"",
"not",
"in",
"os",
".",
"environ",
":",
"raise",
"Exception",
"(",
"\"set_flushing_policy() is only available when environment \"",
"\"variable RAY_USE_NEW_GCS is present at both compile ... | Serialize this policy for Monitor to pick up. | [
"Serialize",
"this",
"policy",
"for",
"Monitor",
"to",
"pick",
"up",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/experimental/gcs_flush_policy.py#L80-L91 |
24,364 | ray-project/ray | python/ray/tune/cluster_info.py | get_ssh_key | def get_ssh_key():
"""Returns ssh key to connecting to cluster workers.
If the env var TUNE_CLUSTER_SSH_KEY is provided, then this key
will be used for syncing across different nodes.
"""
path = os.environ.get("TUNE_CLUSTER_SSH_KEY",
os.path.expanduser("~/ray_bootstrap_key... | python | def get_ssh_key():
"""Returns ssh key to connecting to cluster workers.
If the env var TUNE_CLUSTER_SSH_KEY is provided, then this key
will be used for syncing across different nodes.
"""
path = os.environ.get("TUNE_CLUSTER_SSH_KEY",
os.path.expanduser("~/ray_bootstrap_key... | [
"def",
"get_ssh_key",
"(",
")",
":",
"path",
"=",
"os",
".",
"environ",
".",
"get",
"(",
"\"TUNE_CLUSTER_SSH_KEY\"",
",",
"os",
".",
"path",
".",
"expanduser",
"(",
"\"~/ray_bootstrap_key.pem\"",
")",
")",
"if",
"os",
".",
"path",
".",
"exists",
"(",
"pa... | Returns ssh key to connecting to cluster workers.
If the env var TUNE_CLUSTER_SSH_KEY is provided, then this key
will be used for syncing across different nodes. | [
"Returns",
"ssh",
"key",
"to",
"connecting",
"to",
"cluster",
"workers",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/tune/cluster_info.py#L15-L25 |
24,365 | ray-project/ray | python/ray/tune/suggest/hyperopt.py | HyperOptSearch.on_trial_complete | def on_trial_complete(self,
trial_id,
result=None,
error=False,
early_terminated=False):
"""Passes the result to HyperOpt unless early terminated or errored.
The result is internally negated when int... | python | def on_trial_complete(self,
trial_id,
result=None,
error=False,
early_terminated=False):
"""Passes the result to HyperOpt unless early terminated or errored.
The result is internally negated when int... | [
"def",
"on_trial_complete",
"(",
"self",
",",
"trial_id",
",",
"result",
"=",
"None",
",",
"error",
"=",
"False",
",",
"early_terminated",
"=",
"False",
")",
":",
"ho_trial",
"=",
"self",
".",
"_get_hyperopt_trial",
"(",
"trial_id",
")",
"if",
"ho_trial",
... | Passes the result to HyperOpt unless early terminated or errored.
The result is internally negated when interacting with HyperOpt
so that HyperOpt can "maximize" this value, as it minimizes on default. | [
"Passes",
"the",
"result",
"to",
"HyperOpt",
"unless",
"early",
"terminated",
"or",
"errored",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/tune/suggest/hyperopt.py#L126-L151 |
24,366 | ray-project/ray | python/ray/experimental/streaming/batched_queue.py | plasma_prefetch | def plasma_prefetch(object_id):
"""Tells plasma to prefetch the given object_id."""
local_sched_client = ray.worker.global_worker.raylet_client
ray_obj_id = ray.ObjectID(object_id)
local_sched_client.fetch_or_reconstruct([ray_obj_id], True) | python | def plasma_prefetch(object_id):
"""Tells plasma to prefetch the given object_id."""
local_sched_client = ray.worker.global_worker.raylet_client
ray_obj_id = ray.ObjectID(object_id)
local_sched_client.fetch_or_reconstruct([ray_obj_id], True) | [
"def",
"plasma_prefetch",
"(",
"object_id",
")",
":",
"local_sched_client",
"=",
"ray",
".",
"worker",
".",
"global_worker",
".",
"raylet_client",
"ray_obj_id",
"=",
"ray",
".",
"ObjectID",
"(",
"object_id",
")",
"local_sched_client",
".",
"fetch_or_reconstruct",
... | Tells plasma to prefetch the given object_id. | [
"Tells",
"plasma",
"to",
"prefetch",
"the",
"given",
"object_id",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/experimental/streaming/batched_queue.py#L17-L21 |
24,367 | ray-project/ray | python/ray/experimental/streaming/batched_queue.py | plasma_get | def plasma_get(object_id):
"""Get an object directly from plasma without going through object table.
Precondition: plasma_prefetch(object_id) has been called before.
"""
client = ray.worker.global_worker.plasma_client
plasma_id = ray.pyarrow.plasma.ObjectID(object_id)
while not client.contains(... | python | def plasma_get(object_id):
"""Get an object directly from plasma without going through object table.
Precondition: plasma_prefetch(object_id) has been called before.
"""
client = ray.worker.global_worker.plasma_client
plasma_id = ray.pyarrow.plasma.ObjectID(object_id)
while not client.contains(... | [
"def",
"plasma_get",
"(",
"object_id",
")",
":",
"client",
"=",
"ray",
".",
"worker",
".",
"global_worker",
".",
"plasma_client",
"plasma_id",
"=",
"ray",
".",
"pyarrow",
".",
"plasma",
".",
"ObjectID",
"(",
"object_id",
")",
"while",
"not",
"client",
".",... | Get an object directly from plasma without going through object table.
Precondition: plasma_prefetch(object_id) has been called before. | [
"Get",
"an",
"object",
"directly",
"from",
"plasma",
"without",
"going",
"through",
"object",
"table",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/experimental/streaming/batched_queue.py#L24-L33 |
24,368 | ray-project/ray | python/ray/experimental/streaming/batched_queue.py | BatchedQueue.enable_writes | def enable_writes(self):
"""Restores the state of the batched queue for writing."""
self.write_buffer = []
self.flush_lock = threading.RLock()
self.flush_thread = FlushThread(self.max_batch_time,
self._flush_writes) | python | def enable_writes(self):
"""Restores the state of the batched queue for writing."""
self.write_buffer = []
self.flush_lock = threading.RLock()
self.flush_thread = FlushThread(self.max_batch_time,
self._flush_writes) | [
"def",
"enable_writes",
"(",
"self",
")",
":",
"self",
".",
"write_buffer",
"=",
"[",
"]",
"self",
".",
"flush_lock",
"=",
"threading",
".",
"RLock",
"(",
")",
"self",
".",
"flush_thread",
"=",
"FlushThread",
"(",
"self",
".",
"max_batch_time",
",",
"sel... | Restores the state of the batched queue for writing. | [
"Restores",
"the",
"state",
"of",
"the",
"batched",
"queue",
"for",
"writing",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/experimental/streaming/batched_queue.py#L136-L141 |
24,369 | ray-project/ray | python/ray/experimental/streaming/batched_queue.py | BatchedQueue._wait_for_reader | def _wait_for_reader(self):
"""Checks for backpressure by the downstream reader."""
if self.max_size <= 0: # Unlimited queue
return
if self.write_item_offset - self.cached_remote_offset <= self.max_size:
return # Hasn't reached max size
remote_offset = internal_... | python | def _wait_for_reader(self):
"""Checks for backpressure by the downstream reader."""
if self.max_size <= 0: # Unlimited queue
return
if self.write_item_offset - self.cached_remote_offset <= self.max_size:
return # Hasn't reached max size
remote_offset = internal_... | [
"def",
"_wait_for_reader",
"(",
"self",
")",
":",
"if",
"self",
".",
"max_size",
"<=",
"0",
":",
"# Unlimited queue",
"return",
"if",
"self",
".",
"write_item_offset",
"-",
"self",
".",
"cached_remote_offset",
"<=",
"self",
".",
"max_size",
":",
"return",
"#... | Checks for backpressure by the downstream reader. | [
"Checks",
"for",
"backpressure",
"by",
"the",
"downstream",
"reader",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/experimental/streaming/batched_queue.py#L166-L187 |
24,370 | ray-project/ray | python/ray/rllib/optimizers/rollout.py | collect_samples | def collect_samples(agents, sample_batch_size, num_envs_per_worker,
train_batch_size):
"""Collects at least train_batch_size samples, never discarding any."""
num_timesteps_so_far = 0
trajectories = []
agent_dict = {}
for agent in agents:
fut_sample = agent.sample.remot... | python | def collect_samples(agents, sample_batch_size, num_envs_per_worker,
train_batch_size):
"""Collects at least train_batch_size samples, never discarding any."""
num_timesteps_so_far = 0
trajectories = []
agent_dict = {}
for agent in agents:
fut_sample = agent.sample.remot... | [
"def",
"collect_samples",
"(",
"agents",
",",
"sample_batch_size",
",",
"num_envs_per_worker",
",",
"train_batch_size",
")",
":",
"num_timesteps_so_far",
"=",
"0",
"trajectories",
"=",
"[",
"]",
"agent_dict",
"=",
"{",
"}",
"for",
"agent",
"in",
"agents",
":",
... | Collects at least train_batch_size samples, never discarding any. | [
"Collects",
"at",
"least",
"train_batch_size",
"samples",
"never",
"discarding",
"any",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/rllib/optimizers/rollout.py#L14-L40 |
24,371 | ray-project/ray | python/ray/rllib/optimizers/rollout.py | collect_samples_straggler_mitigation | def collect_samples_straggler_mitigation(agents, train_batch_size):
"""Collects at least train_batch_size samples.
This is the legacy behavior as of 0.6, and launches extra sample tasks to
potentially improve performance but can result in many wasted samples.
"""
num_timesteps_so_far = 0
traje... | python | def collect_samples_straggler_mitigation(agents, train_batch_size):
"""Collects at least train_batch_size samples.
This is the legacy behavior as of 0.6, and launches extra sample tasks to
potentially improve performance but can result in many wasted samples.
"""
num_timesteps_so_far = 0
traje... | [
"def",
"collect_samples_straggler_mitigation",
"(",
"agents",
",",
"train_batch_size",
")",
":",
"num_timesteps_so_far",
"=",
"0",
"trajectories",
"=",
"[",
"]",
"agent_dict",
"=",
"{",
"}",
"for",
"agent",
"in",
"agents",
":",
"fut_sample",
"=",
"agent",
".",
... | Collects at least train_batch_size samples.
This is the legacy behavior as of 0.6, and launches extra sample tasks to
potentially improve performance but can result in many wasted samples. | [
"Collects",
"at",
"least",
"train_batch_size",
"samples",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/rllib/optimizers/rollout.py#L43-L72 |
24,372 | ray-project/ray | python/ray/utils.py | format_error_message | def format_error_message(exception_message, task_exception=False):
"""Improve the formatting of an exception thrown by a remote function.
This method takes a traceback from an exception and makes it nicer by
removing a few uninformative lines and adding some space to indent the
remaining lines nicely.
... | python | def format_error_message(exception_message, task_exception=False):
"""Improve the formatting of an exception thrown by a remote function.
This method takes a traceback from an exception and makes it nicer by
removing a few uninformative lines and adding some space to indent the
remaining lines nicely.
... | [
"def",
"format_error_message",
"(",
"exception_message",
",",
"task_exception",
"=",
"False",
")",
":",
"lines",
"=",
"exception_message",
".",
"split",
"(",
"\"\\n\"",
")",
"if",
"task_exception",
":",
"# For errors that occur inside of tasks, remove lines 1 and 2 which ar... | Improve the formatting of an exception thrown by a remote function.
This method takes a traceback from an exception and makes it nicer by
removing a few uninformative lines and adding some space to indent the
remaining lines nicely.
Args:
exception_message (str): A message generated by traceba... | [
"Improve",
"the",
"formatting",
"of",
"an",
"exception",
"thrown",
"by",
"a",
"remote",
"function",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/utils.py#L32-L51 |
24,373 | ray-project/ray | python/ray/utils.py | is_cython | def is_cython(obj):
"""Check if an object is a Cython function or method"""
# TODO(suo): We could split these into two functions, one for Cython
# functions and another for Cython methods.
# TODO(suo): There doesn't appear to be a Cython function 'type' we can
# check against via isinstance. Please... | python | def is_cython(obj):
"""Check if an object is a Cython function or method"""
# TODO(suo): We could split these into two functions, one for Cython
# functions and another for Cython methods.
# TODO(suo): There doesn't appear to be a Cython function 'type' we can
# check against via isinstance. Please... | [
"def",
"is_cython",
"(",
"obj",
")",
":",
"# TODO(suo): We could split these into two functions, one for Cython",
"# functions and another for Cython methods.",
"# TODO(suo): There doesn't appear to be a Cython function 'type' we can",
"# check against via isinstance. Please correct me if I'm wron... | Check if an object is a Cython function or method | [
"Check",
"if",
"an",
"object",
"is",
"a",
"Cython",
"function",
"or",
"method"
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/utils.py#L102-L114 |
24,374 | ray-project/ray | python/ray/utils.py | is_function_or_method | def is_function_or_method(obj):
"""Check if an object is a function or method.
Args:
obj: The Python object in question.
Returns:
True if the object is an function or method.
"""
return inspect.isfunction(obj) or inspect.ismethod(obj) or is_cython(obj) | python | def is_function_or_method(obj):
"""Check if an object is a function or method.
Args:
obj: The Python object in question.
Returns:
True if the object is an function or method.
"""
return inspect.isfunction(obj) or inspect.ismethod(obj) or is_cython(obj) | [
"def",
"is_function_or_method",
"(",
"obj",
")",
":",
"return",
"inspect",
".",
"isfunction",
"(",
"obj",
")",
"or",
"inspect",
".",
"ismethod",
"(",
"obj",
")",
"or",
"is_cython",
"(",
"obj",
")"
] | Check if an object is a function or method.
Args:
obj: The Python object in question.
Returns:
True if the object is an function or method. | [
"Check",
"if",
"an",
"object",
"is",
"a",
"function",
"or",
"method",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/utils.py#L117-L126 |
24,375 | ray-project/ray | python/ray/utils.py | random_string | def random_string():
"""Generate a random string to use as an ID.
Note that users may seed numpy, which could cause this function to generate
duplicate IDs. Therefore, we need to seed numpy ourselves, but we can't
interfere with the state of the user's random number generator, so we
extract the sta... | python | def random_string():
"""Generate a random string to use as an ID.
Note that users may seed numpy, which could cause this function to generate
duplicate IDs. Therefore, we need to seed numpy ourselves, but we can't
interfere with the state of the user's random number generator, so we
extract the sta... | [
"def",
"random_string",
"(",
")",
":",
"# Get the state of the numpy random number generator.",
"numpy_state",
"=",
"np",
".",
"random",
".",
"get_state",
"(",
")",
"# Try to use true randomness.",
"np",
".",
"random",
".",
"seed",
"(",
"None",
")",
"# Generate the ra... | Generate a random string to use as an ID.
Note that users may seed numpy, which could cause this function to generate
duplicate IDs. Therefore, we need to seed numpy ourselves, but we can't
interfere with the state of the user's random number generator, so we
extract the state of the random number gene... | [
"Generate",
"a",
"random",
"string",
"to",
"use",
"as",
"an",
"ID",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/utils.py#L134-L157 |
24,376 | ray-project/ray | python/ray/utils.py | decode | def decode(byte_str, allow_none=False):
"""Make this unicode in Python 3, otherwise leave it as bytes.
Args:
byte_str: The byte string to decode.
allow_none: If true, then we will allow byte_str to be None in which
case we will return an empty string. TODO(rkn): Remove this flag.
... | python | def decode(byte_str, allow_none=False):
"""Make this unicode in Python 3, otherwise leave it as bytes.
Args:
byte_str: The byte string to decode.
allow_none: If true, then we will allow byte_str to be None in which
case we will return an empty string. TODO(rkn): Remove this flag.
... | [
"def",
"decode",
"(",
"byte_str",
",",
"allow_none",
"=",
"False",
")",
":",
"if",
"byte_str",
"is",
"None",
"and",
"allow_none",
":",
"return",
"\"\"",
"if",
"not",
"isinstance",
"(",
"byte_str",
",",
"bytes",
")",
":",
"raise",
"ValueError",
"(",
"\"Th... | Make this unicode in Python 3, otherwise leave it as bytes.
Args:
byte_str: The byte string to decode.
allow_none: If true, then we will allow byte_str to be None in which
case we will return an empty string. TODO(rkn): Remove this flag.
This is only here to simplify upgradi... | [
"Make",
"this",
"unicode",
"in",
"Python",
"3",
"otherwise",
"leave",
"it",
"as",
"bytes",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/utils.py#L160-L181 |
24,377 | ray-project/ray | python/ray/utils.py | get_cuda_visible_devices | def get_cuda_visible_devices():
"""Get the device IDs in the CUDA_VISIBLE_DEVICES environment variable.
Returns:
if CUDA_VISIBLE_DEVICES is set, this returns a list of integers with
the IDs of the GPUs. If it is not set, this returns None.
"""
gpu_ids_str = os.environ.get("CUDA_VISI... | python | def get_cuda_visible_devices():
"""Get the device IDs in the CUDA_VISIBLE_DEVICES environment variable.
Returns:
if CUDA_VISIBLE_DEVICES is set, this returns a list of integers with
the IDs of the GPUs. If it is not set, this returns None.
"""
gpu_ids_str = os.environ.get("CUDA_VISI... | [
"def",
"get_cuda_visible_devices",
"(",
")",
":",
"gpu_ids_str",
"=",
"os",
".",
"environ",
".",
"get",
"(",
"\"CUDA_VISIBLE_DEVICES\"",
",",
"None",
")",
"if",
"gpu_ids_str",
"is",
"None",
":",
"return",
"None",
"if",
"gpu_ids_str",
"==",
"\"\"",
":",
"retu... | Get the device IDs in the CUDA_VISIBLE_DEVICES environment variable.
Returns:
if CUDA_VISIBLE_DEVICES is set, this returns a list of integers with
the IDs of the GPUs. If it is not set, this returns None. | [
"Get",
"the",
"device",
"IDs",
"in",
"the",
"CUDA_VISIBLE_DEVICES",
"environment",
"variable",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/utils.py#L230-L245 |
24,378 | ray-project/ray | python/ray/utils.py | resources_from_resource_arguments | def resources_from_resource_arguments(default_num_cpus, default_num_gpus,
default_resources, runtime_num_cpus,
runtime_num_gpus, runtime_resources):
"""Determine a task's resource requirements.
Args:
default_num_cpus: The defau... | python | def resources_from_resource_arguments(default_num_cpus, default_num_gpus,
default_resources, runtime_num_cpus,
runtime_num_gpus, runtime_resources):
"""Determine a task's resource requirements.
Args:
default_num_cpus: The defau... | [
"def",
"resources_from_resource_arguments",
"(",
"default_num_cpus",
",",
"default_num_gpus",
",",
"default_resources",
",",
"runtime_num_cpus",
",",
"runtime_num_gpus",
",",
"runtime_resources",
")",
":",
"if",
"runtime_resources",
"is",
"not",
"None",
":",
"resources",
... | Determine a task's resource requirements.
Args:
default_num_cpus: The default number of CPUs required by this function
or actor method.
default_num_gpus: The default number of GPUs required by this function
or actor method.
default_resources: The default custom resou... | [
"Determine",
"a",
"task",
"s",
"resource",
"requirements",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/utils.py#L257-L299 |
24,379 | ray-project/ray | python/ray/utils.py | setup_logger | def setup_logger(logging_level, logging_format):
"""Setup default logging for ray."""
logger = logging.getLogger("ray")
if type(logging_level) is str:
logging_level = logging.getLevelName(logging_level.upper())
logger.setLevel(logging_level)
global _default_handler
if _default_handler is... | python | def setup_logger(logging_level, logging_format):
"""Setup default logging for ray."""
logger = logging.getLogger("ray")
if type(logging_level) is str:
logging_level = logging.getLevelName(logging_level.upper())
logger.setLevel(logging_level)
global _default_handler
if _default_handler is... | [
"def",
"setup_logger",
"(",
"logging_level",
",",
"logging_format",
")",
":",
"logger",
"=",
"logging",
".",
"getLogger",
"(",
"\"ray\"",
")",
"if",
"type",
"(",
"logging_level",
")",
"is",
"str",
":",
"logging_level",
"=",
"logging",
".",
"getLevelName",
"(... | Setup default logging for ray. | [
"Setup",
"default",
"logging",
"for",
"ray",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/utils.py#L305-L316 |
24,380 | ray-project/ray | python/ray/utils.py | vmstat | def vmstat(stat):
"""Run vmstat and get a particular statistic.
Args:
stat: The statistic that we are interested in retrieving.
Returns:
The parsed output.
"""
out = subprocess.check_output(["vmstat", "-s"])
stat = stat.encode("ascii")
for line in out.split(b"\n"):
... | python | def vmstat(stat):
"""Run vmstat and get a particular statistic.
Args:
stat: The statistic that we are interested in retrieving.
Returns:
The parsed output.
"""
out = subprocess.check_output(["vmstat", "-s"])
stat = stat.encode("ascii")
for line in out.split(b"\n"):
... | [
"def",
"vmstat",
"(",
"stat",
")",
":",
"out",
"=",
"subprocess",
".",
"check_output",
"(",
"[",
"\"vmstat\"",
",",
"\"-s\"",
"]",
")",
"stat",
"=",
"stat",
".",
"encode",
"(",
"\"ascii\"",
")",
"for",
"line",
"in",
"out",
".",
"split",
"(",
"b\"\\n\... | Run vmstat and get a particular statistic.
Args:
stat: The statistic that we are interested in retrieving.
Returns:
The parsed output. | [
"Run",
"vmstat",
"and",
"get",
"a",
"particular",
"statistic",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/utils.py#L321-L336 |
24,381 | ray-project/ray | python/ray/utils.py | sysctl | def sysctl(command):
"""Run a sysctl command and parse the output.
Args:
command: A sysctl command with an argument, for example,
["sysctl", "hw.memsize"].
Returns:
The parsed output.
"""
out = subprocess.check_output(command)
result = out.split(b" ")[1]
try:
... | python | def sysctl(command):
"""Run a sysctl command and parse the output.
Args:
command: A sysctl command with an argument, for example,
["sysctl", "hw.memsize"].
Returns:
The parsed output.
"""
out = subprocess.check_output(command)
result = out.split(b" ")[1]
try:
... | [
"def",
"sysctl",
"(",
"command",
")",
":",
"out",
"=",
"subprocess",
".",
"check_output",
"(",
"command",
")",
"result",
"=",
"out",
".",
"split",
"(",
"b\" \"",
")",
"[",
"1",
"]",
"try",
":",
"return",
"int",
"(",
"result",
")",
"except",
"ValueErr... | Run a sysctl command and parse the output.
Args:
command: A sysctl command with an argument, for example,
["sysctl", "hw.memsize"].
Returns:
The parsed output. | [
"Run",
"a",
"sysctl",
"command",
"and",
"parse",
"the",
"output",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/utils.py#L341-L356 |
24,382 | ray-project/ray | python/ray/utils.py | get_system_memory | def get_system_memory():
"""Return the total amount of system memory in bytes.
Returns:
The total amount of system memory in bytes.
"""
# Try to accurately figure out the memory limit if we are in a docker
# container. Note that this file is not specific to Docker and its value is
# oft... | python | def get_system_memory():
"""Return the total amount of system memory in bytes.
Returns:
The total amount of system memory in bytes.
"""
# Try to accurately figure out the memory limit if we are in a docker
# container. Note that this file is not specific to Docker and its value is
# oft... | [
"def",
"get_system_memory",
"(",
")",
":",
"# Try to accurately figure out the memory limit if we are in a docker",
"# container. Note that this file is not specific to Docker and its value is",
"# often much larger than the actual amount of memory.",
"docker_limit",
"=",
"None",
"memory_limit... | Return the total amount of system memory in bytes.
Returns:
The total amount of system memory in bytes. | [
"Return",
"the",
"total",
"amount",
"of",
"system",
"memory",
"in",
"bytes",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/utils.py#L359-L395 |
24,383 | ray-project/ray | python/ray/utils.py | get_shared_memory_bytes | def get_shared_memory_bytes():
"""Get the size of the shared memory file system.
Returns:
The size of the shared memory file system in bytes.
"""
# Make sure this is only called on Linux.
assert sys.platform == "linux" or sys.platform == "linux2"
shm_fd = os.open("/dev/shm", os.O_RDONL... | python | def get_shared_memory_bytes():
"""Get the size of the shared memory file system.
Returns:
The size of the shared memory file system in bytes.
"""
# Make sure this is only called on Linux.
assert sys.platform == "linux" or sys.platform == "linux2"
shm_fd = os.open("/dev/shm", os.O_RDONL... | [
"def",
"get_shared_memory_bytes",
"(",
")",
":",
"# Make sure this is only called on Linux.",
"assert",
"sys",
".",
"platform",
"==",
"\"linux\"",
"or",
"sys",
".",
"platform",
"==",
"\"linux2\"",
"shm_fd",
"=",
"os",
".",
"open",
"(",
"\"/dev/shm\"",
",",
"os",
... | Get the size of the shared memory file system.
Returns:
The size of the shared memory file system in bytes. | [
"Get",
"the",
"size",
"of",
"the",
"shared",
"memory",
"file",
"system",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/utils.py#L398-L417 |
24,384 | ray-project/ray | python/ray/utils.py | check_oversized_pickle | def check_oversized_pickle(pickled, name, obj_type, worker):
"""Send a warning message if the pickled object is too large.
Args:
pickled: the pickled object.
name: name of the pickled object.
obj_type: type of the pickled object, can be 'function',
'remote function', 'actor'... | python | def check_oversized_pickle(pickled, name, obj_type, worker):
"""Send a warning message if the pickled object is too large.
Args:
pickled: the pickled object.
name: name of the pickled object.
obj_type: type of the pickled object, can be 'function',
'remote function', 'actor'... | [
"def",
"check_oversized_pickle",
"(",
"pickled",
",",
"name",
",",
"obj_type",
",",
"worker",
")",
":",
"length",
"=",
"len",
"(",
"pickled",
")",
"if",
"length",
"<=",
"ray_constants",
".",
"PICKLE_OBJECT_WARNING_SIZE",
":",
"return",
"warning_message",
"=",
... | Send a warning message if the pickled object is too large.
Args:
pickled: the pickled object.
name: name of the pickled object.
obj_type: type of the pickled object, can be 'function',
'remote function', 'actor', or 'object'.
worker: the worker used to send warning messa... | [
"Send",
"a",
"warning",
"message",
"if",
"the",
"pickled",
"object",
"is",
"too",
"large",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/utils.py#L420-L442 |
24,385 | ray-project/ray | python/ray/utils.py | thread_safe_client | def thread_safe_client(client, lock=None):
"""Create a thread-safe proxy which locks every method call
for the given client.
Args:
client: the client object to be guarded.
lock: the lock object that will be used to lock client's methods.
If None, a new lock will be used.
Re... | python | def thread_safe_client(client, lock=None):
"""Create a thread-safe proxy which locks every method call
for the given client.
Args:
client: the client object to be guarded.
lock: the lock object that will be used to lock client's methods.
If None, a new lock will be used.
Re... | [
"def",
"thread_safe_client",
"(",
"client",
",",
"lock",
"=",
"None",
")",
":",
"if",
"lock",
"is",
"None",
":",
"lock",
"=",
"threading",
".",
"Lock",
"(",
")",
"return",
"_ThreadSafeProxy",
"(",
"client",
",",
"lock",
")"
] | Create a thread-safe proxy which locks every method call
for the given client.
Args:
client: the client object to be guarded.
lock: the lock object that will be used to lock client's methods.
If None, a new lock will be used.
Returns:
A thread-safe proxy for the given c... | [
"Create",
"a",
"thread",
"-",
"safe",
"proxy",
"which",
"locks",
"every",
"method",
"call",
"for",
"the",
"given",
"client",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/utils.py#L482-L496 |
24,386 | ray-project/ray | python/ray/experimental/array/distributed/core.py | DistArray.assemble | def assemble(self):
"""Assemble an array from a distributed array of object IDs."""
first_block = ray.get(self.objectids[(0, ) * self.ndim])
dtype = first_block.dtype
result = np.zeros(self.shape, dtype=dtype)
for index in np.ndindex(*self.num_blocks):
lower = DistArr... | python | def assemble(self):
"""Assemble an array from a distributed array of object IDs."""
first_block = ray.get(self.objectids[(0, ) * self.ndim])
dtype = first_block.dtype
result = np.zeros(self.shape, dtype=dtype)
for index in np.ndindex(*self.num_blocks):
lower = DistArr... | [
"def",
"assemble",
"(",
"self",
")",
":",
"first_block",
"=",
"ray",
".",
"get",
"(",
"self",
".",
"objectids",
"[",
"(",
"0",
",",
")",
"*",
"self",
".",
"ndim",
"]",
")",
"dtype",
"=",
"first_block",
".",
"dtype",
"result",
"=",
"np",
".",
"zer... | Assemble an array from a distributed array of object IDs. | [
"Assemble",
"an",
"array",
"from",
"a",
"distributed",
"array",
"of",
"object",
"IDs",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/experimental/array/distributed/core.py#L58-L68 |
24,387 | ray-project/ray | python/ray/rllib/agents/impala/vtrace.py | multi_log_probs_from_logits_and_actions | def multi_log_probs_from_logits_and_actions(policy_logits, actions):
"""Computes action log-probs from policy logits and actions.
In the notation used throughout documentation and comments, T refers to the
time dimension ranging from 0 to T-1. B refers to the batch size and
ACTION_SPACE refers to the list of... | python | def multi_log_probs_from_logits_and_actions(policy_logits, actions):
"""Computes action log-probs from policy logits and actions.
In the notation used throughout documentation and comments, T refers to the
time dimension ranging from 0 to T-1. B refers to the batch size and
ACTION_SPACE refers to the list of... | [
"def",
"multi_log_probs_from_logits_and_actions",
"(",
"policy_logits",
",",
"actions",
")",
":",
"log_probs",
"=",
"[",
"]",
"for",
"i",
"in",
"range",
"(",
"len",
"(",
"policy_logits",
")",
")",
":",
"log_probs",
".",
"append",
"(",
"-",
"tf",
".",
"nn",... | Computes action log-probs from policy logits and actions.
In the notation used throughout documentation and comments, T refers to the
time dimension ranging from 0 to T-1. B refers to the batch size and
ACTION_SPACE refers to the list of numbers each representing a number of
actions.
Args:
policy_logits... | [
"Computes",
"action",
"log",
"-",
"probs",
"from",
"policy",
"logits",
"and",
"actions",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/rllib/agents/impala/vtrace.py#L54-L91 |
24,388 | ray-project/ray | python/ray/rllib/agents/impala/vtrace.py | from_logits | def from_logits(behaviour_policy_logits,
target_policy_logits,
actions,
discounts,
rewards,
values,
bootstrap_value,
clip_rho_threshold=1.0,
clip_pg_rho_threshold=1.0,
name="vt... | python | def from_logits(behaviour_policy_logits,
target_policy_logits,
actions,
discounts,
rewards,
values,
bootstrap_value,
clip_rho_threshold=1.0,
clip_pg_rho_threshold=1.0,
name="vt... | [
"def",
"from_logits",
"(",
"behaviour_policy_logits",
",",
"target_policy_logits",
",",
"actions",
",",
"discounts",
",",
"rewards",
",",
"values",
",",
"bootstrap_value",
",",
"clip_rho_threshold",
"=",
"1.0",
",",
"clip_pg_rho_threshold",
"=",
"1.0",
",",
"name",
... | multi_from_logits wrapper used only for tests | [
"multi_from_logits",
"wrapper",
"used",
"only",
"for",
"tests"
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/rllib/agents/impala/vtrace.py#L94-L124 |
24,389 | ray-project/ray | python/ray/rllib/agents/impala/vtrace.py | multi_from_logits | def multi_from_logits(behaviour_policy_logits,
target_policy_logits,
actions,
discounts,
rewards,
values,
bootstrap_value,
clip_rho_threshold=1.0,
... | python | def multi_from_logits(behaviour_policy_logits,
target_policy_logits,
actions,
discounts,
rewards,
values,
bootstrap_value,
clip_rho_threshold=1.0,
... | [
"def",
"multi_from_logits",
"(",
"behaviour_policy_logits",
",",
"target_policy_logits",
",",
"actions",
",",
"discounts",
",",
"rewards",
",",
"values",
",",
"bootstrap_value",
",",
"clip_rho_threshold",
"=",
"1.0",
",",
"clip_pg_rho_threshold",
"=",
"1.0",
",",
"n... | r"""V-trace for softmax policies.
Calculates V-trace actor critic targets for softmax polices as described in
"IMPALA: Scalable Distributed Deep-RL with
Importance Weighted Actor-Learner Architectures"
by Espeholt, Soyer, Munos et al.
Target policy refers to the policy we are interested in improving and
... | [
"r",
"V",
"-",
"trace",
"for",
"softmax",
"policies",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/rllib/agents/impala/vtrace.py#L127-L244 |
24,390 | ray-project/ray | python/ray/rllib/agents/impala/vtrace.py | get_log_rhos | def get_log_rhos(target_action_log_probs, behaviour_action_log_probs):
"""With the selected log_probs for multi-discrete actions of behaviour
and target policies we compute the log_rhos for calculating the vtrace."""
t = tf.stack(target_action_log_probs)
b = tf.stack(behaviour_action_log_probs)
log_... | python | def get_log_rhos(target_action_log_probs, behaviour_action_log_probs):
"""With the selected log_probs for multi-discrete actions of behaviour
and target policies we compute the log_rhos for calculating the vtrace."""
t = tf.stack(target_action_log_probs)
b = tf.stack(behaviour_action_log_probs)
log_... | [
"def",
"get_log_rhos",
"(",
"target_action_log_probs",
",",
"behaviour_action_log_probs",
")",
":",
"t",
"=",
"tf",
".",
"stack",
"(",
"target_action_log_probs",
")",
"b",
"=",
"tf",
".",
"stack",
"(",
"behaviour_action_log_probs",
")",
"log_rhos",
"=",
"tf",
".... | With the selected log_probs for multi-discrete actions of behaviour
and target policies we compute the log_rhos for calculating the vtrace. | [
"With",
"the",
"selected",
"log_probs",
"for",
"multi",
"-",
"discrete",
"actions",
"of",
"behaviour",
"and",
"target",
"policies",
"we",
"compute",
"the",
"log_rhos",
"for",
"calculating",
"the",
"vtrace",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/rllib/agents/impala/vtrace.py#L389-L395 |
24,391 | ray-project/ray | python/ray/tune/examples/tune_mnist_async_hyperband.py | weight_variable | def weight_variable(shape):
"""weight_variable generates a weight variable of a given shape."""
initial = tf.truncated_normal(shape, stddev=0.1)
return tf.Variable(initial) | python | def weight_variable(shape):
"""weight_variable generates a weight variable of a given shape."""
initial = tf.truncated_normal(shape, stddev=0.1)
return tf.Variable(initial) | [
"def",
"weight_variable",
"(",
"shape",
")",
":",
"initial",
"=",
"tf",
".",
"truncated_normal",
"(",
"shape",
",",
"stddev",
"=",
"0.1",
")",
"return",
"tf",
".",
"Variable",
"(",
"initial",
")"
] | weight_variable generates a weight variable of a given shape. | [
"weight_variable",
"generates",
"a",
"weight",
"variable",
"of",
"a",
"given",
"shape",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/tune/examples/tune_mnist_async_hyperband.py#L121-L124 |
24,392 | ray-project/ray | python/ray/tune/examples/tune_mnist_async_hyperband.py | bias_variable | def bias_variable(shape):
"""bias_variable generates a bias variable of a given shape."""
initial = tf.constant(0.1, shape=shape)
return tf.Variable(initial) | python | def bias_variable(shape):
"""bias_variable generates a bias variable of a given shape."""
initial = tf.constant(0.1, shape=shape)
return tf.Variable(initial) | [
"def",
"bias_variable",
"(",
"shape",
")",
":",
"initial",
"=",
"tf",
".",
"constant",
"(",
"0.1",
",",
"shape",
"=",
"shape",
")",
"return",
"tf",
".",
"Variable",
"(",
"initial",
")"
] | bias_variable generates a bias variable of a given shape. | [
"bias_variable",
"generates",
"a",
"bias",
"variable",
"of",
"a",
"given",
"shape",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/tune/examples/tune_mnist_async_hyperband.py#L127-L130 |
24,393 | ray-project/ray | python/ray/tune/commands.py | print_format_output | def print_format_output(dataframe):
"""Prints output of given dataframe to fit into terminal.
Returns:
table (pd.DataFrame): Final outputted dataframe.
dropped_cols (list): Columns dropped due to terminal size.
empty_cols (list): Empty columns (dropped on default).
"""
print_df ... | python | def print_format_output(dataframe):
"""Prints output of given dataframe to fit into terminal.
Returns:
table (pd.DataFrame): Final outputted dataframe.
dropped_cols (list): Columns dropped due to terminal size.
empty_cols (list): Empty columns (dropped on default).
"""
print_df ... | [
"def",
"print_format_output",
"(",
"dataframe",
")",
":",
"print_df",
"=",
"pd",
".",
"DataFrame",
"(",
")",
"dropped_cols",
"=",
"[",
"]",
"empty_cols",
"=",
"[",
"]",
"# column display priority is based on the info_keys passed in",
"for",
"i",
",",
"col",
"in",
... | Prints output of given dataframe to fit into terminal.
Returns:
table (pd.DataFrame): Final outputted dataframe.
dropped_cols (list): Columns dropped due to terminal size.
empty_cols (list): Empty columns (dropped on default). | [
"Prints",
"output",
"of",
"given",
"dataframe",
"to",
"fit",
"into",
"terminal",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/tune/commands.py#L72-L108 |
24,394 | ray-project/ray | python/ray/tune/commands.py | add_note | def add_note(path, filename="note.txt"):
"""Opens a txt file at the given path where user can add and save notes.
Args:
path (str): Directory where note will be saved.
filename (str): Name of note. Defaults to "note.txt"
"""
path = os.path.expanduser(path)
assert os.path.isdir(path)... | python | def add_note(path, filename="note.txt"):
"""Opens a txt file at the given path where user can add and save notes.
Args:
path (str): Directory where note will be saved.
filename (str): Name of note. Defaults to "note.txt"
"""
path = os.path.expanduser(path)
assert os.path.isdir(path)... | [
"def",
"add_note",
"(",
"path",
",",
"filename",
"=",
"\"note.txt\"",
")",
":",
"path",
"=",
"os",
".",
"path",
".",
"expanduser",
"(",
"path",
")",
"assert",
"os",
".",
"path",
".",
"isdir",
"(",
"path",
")",
",",
"\"{} is not a valid directory.\"",
"."... | Opens a txt file at the given path where user can add and save notes.
Args:
path (str): Directory where note will be saved.
filename (str): Name of note. Defaults to "note.txt" | [
"Opens",
"a",
"txt",
"file",
"at",
"the",
"given",
"path",
"where",
"user",
"can",
"add",
"and",
"save",
"notes",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/tune/commands.py#L312-L333 |
24,395 | ray-project/ray | python/ray/tune/automlboard/frontend/query.py | query_job | def query_job(request):
"""Rest API to query the job info, with the given job_id.
The url pattern should be like this:
curl http://<server>:<port>/query_job?job_id=<job_id>
The response may be:
{
"running_trials": 0,
"start_time": "2018-07-19 20:49:40",
"current_round": 1... | python | def query_job(request):
"""Rest API to query the job info, with the given job_id.
The url pattern should be like this:
curl http://<server>:<port>/query_job?job_id=<job_id>
The response may be:
{
"running_trials": 0,
"start_time": "2018-07-19 20:49:40",
"current_round": 1... | [
"def",
"query_job",
"(",
"request",
")",
":",
"job_id",
"=",
"request",
".",
"GET",
".",
"get",
"(",
"\"job_id\"",
")",
"jobs",
"=",
"JobRecord",
".",
"objects",
".",
"filter",
"(",
"job_id",
"=",
"job_id",
")",
"trials",
"=",
"TrialRecord",
".",
"obje... | Rest API to query the job info, with the given job_id.
The url pattern should be like this:
curl http://<server>:<port>/query_job?job_id=<job_id>
The response may be:
{
"running_trials": 0,
"start_time": "2018-07-19 20:49:40",
"current_round": 1,
"failed_trials": 0,
... | [
"Rest",
"API",
"to",
"query",
"the",
"job",
"info",
"with",
"the",
"given",
"job_id",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/tune/automlboard/frontend/query.py#L14-L71 |
24,396 | ray-project/ray | python/ray/tune/automlboard/frontend/query.py | query_trial | def query_trial(request):
"""Rest API to query the trial info, with the given trial_id.
The url pattern should be like this:
curl http://<server>:<port>/query_trial?trial_id=<trial_id>
The response may be:
{
"app_url": "None",
"trial_status": "TERMINATED",
"params": {'a':... | python | def query_trial(request):
"""Rest API to query the trial info, with the given trial_id.
The url pattern should be like this:
curl http://<server>:<port>/query_trial?trial_id=<trial_id>
The response may be:
{
"app_url": "None",
"trial_status": "TERMINATED",
"params": {'a':... | [
"def",
"query_trial",
"(",
"request",
")",
":",
"trial_id",
"=",
"request",
".",
"GET",
".",
"get",
"(",
"\"trial_id\"",
")",
"trials",
"=",
"TrialRecord",
".",
"objects",
".",
"filter",
"(",
"trial_id",
"=",
"trial_id",
")",
".",
"order_by",
"(",
"\"-st... | Rest API to query the trial info, with the given trial_id.
The url pattern should be like this:
curl http://<server>:<port>/query_trial?trial_id=<trial_id>
The response may be:
{
"app_url": "None",
"trial_status": "TERMINATED",
"params": {'a': 1, 'b': 2},
"job_id": "a... | [
"Rest",
"API",
"to",
"query",
"the",
"trial",
"info",
"with",
"the",
"given",
"trial_id",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/tune/automlboard/frontend/query.py#L74-L110 |
24,397 | ray-project/ray | python/ray/tune/schedulers/median_stopping_rule.py | MedianStoppingRule.on_trial_result | def on_trial_result(self, trial_runner, trial, result):
"""Callback for early stopping.
This stopping rule stops a running trial if the trial's best objective
value by step `t` is strictly worse than the median of the running
averages of all completed trials' objectives reported up to s... | python | def on_trial_result(self, trial_runner, trial, result):
"""Callback for early stopping.
This stopping rule stops a running trial if the trial's best objective
value by step `t` is strictly worse than the median of the running
averages of all completed trials' objectives reported up to s... | [
"def",
"on_trial_result",
"(",
"self",
",",
"trial_runner",
",",
"trial",
",",
"result",
")",
":",
"if",
"trial",
"in",
"self",
".",
"_stopped_trials",
":",
"assert",
"not",
"self",
".",
"_hard_stop",
"return",
"TrialScheduler",
".",
"CONTINUE",
"# fall back t... | Callback for early stopping.
This stopping rule stops a running trial if the trial's best objective
value by step `t` is strictly worse than the median of the running
averages of all completed trials' objectives reported up to step `t`. | [
"Callback",
"for",
"early",
"stopping",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/tune/schedulers/median_stopping_rule.py#L56-L85 |
24,398 | ray-project/ray | python/ray/tune/schedulers/median_stopping_rule.py | MedianStoppingRule.on_trial_remove | def on_trial_remove(self, trial_runner, trial):
"""Marks trial as completed if it is paused and has previously ran."""
if trial.status is Trial.PAUSED and trial in self._results:
self._completed_trials.add(trial) | python | def on_trial_remove(self, trial_runner, trial):
"""Marks trial as completed if it is paused and has previously ran."""
if trial.status is Trial.PAUSED and trial in self._results:
self._completed_trials.add(trial) | [
"def",
"on_trial_remove",
"(",
"self",
",",
"trial_runner",
",",
"trial",
")",
":",
"if",
"trial",
".",
"status",
"is",
"Trial",
".",
"PAUSED",
"and",
"trial",
"in",
"self",
".",
"_results",
":",
"self",
".",
"_completed_trials",
".",
"add",
"(",
"trial"... | Marks trial as completed if it is paused and has previously ran. | [
"Marks",
"trial",
"as",
"completed",
"if",
"it",
"is",
"paused",
"and",
"has",
"previously",
"ran",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/tune/schedulers/median_stopping_rule.py#L91-L94 |
24,399 | ray-project/ray | python/ray/tune/automlboard/models/models.py | JobRecord.from_json | def from_json(cls, json_info):
"""Build a Job instance from a json string."""
if json_info is None:
return None
return JobRecord(
job_id=json_info["job_id"],
name=json_info["job_name"],
user=json_info["user"],
type=json_info["type"],
... | python | def from_json(cls, json_info):
"""Build a Job instance from a json string."""
if json_info is None:
return None
return JobRecord(
job_id=json_info["job_id"],
name=json_info["job_name"],
user=json_info["user"],
type=json_info["type"],
... | [
"def",
"from_json",
"(",
"cls",
",",
"json_info",
")",
":",
"if",
"json_info",
"is",
"None",
":",
"return",
"None",
"return",
"JobRecord",
"(",
"job_id",
"=",
"json_info",
"[",
"\"job_id\"",
"]",
",",
"name",
"=",
"json_info",
"[",
"\"job_name\"",
"]",
"... | Build a Job instance from a json string. | [
"Build",
"a",
"Job",
"instance",
"from",
"a",
"json",
"string",
"."
] | 4eade036a0505e244c976f36aaa2d64386b5129b | https://github.com/ray-project/ray/blob/4eade036a0505e244c976f36aaa2d64386b5129b/python/ray/tune/automlboard/models/models.py#L20-L29 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.