repo stringlengths 1 99 | file stringlengths 13 215 | code stringlengths 12 59.2M | file_length int64 12 59.2M | avg_line_length float64 3.82 1.48M | max_line_length int64 12 2.51M | extension_type stringclasses 1
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ray | ray-master/rllib/algorithms/alpha_zero/tests/test_alpha_zero.py | import unittest
import ray
import ray.rllib.algorithms.alpha_zero as az
from ray.rllib.algorithms.alpha_zero.models.custom_torch_models import DenseModel
from ray.rllib.examples.env.cartpole_sparse_rewards import CartPoleSparseRewards
from ray.rllib.utils.test_utils import (
check_train_results,
framework_iter... | 1,264 | 26.5 | 81 | py |
ray | ray-master/rllib/algorithms/leela_chess_zero/leela_chess_zero_policy.py | import numpy as np
from ray.rllib.policy.policy import Policy
from ray.rllib.policy.torch_policy import TorchPolicy
from ray.rllib.algorithms.leela_chess_zero.mcts import Node, RootParentNode
from ray.rllib.utils.annotations import override
from ray.rllib.utils.framework import try_import_torch
from ray.rllib.utils.me... | 4,945 | 32.418919 | 85 | py |
ray | ray-master/rllib/algorithms/leela_chess_zero/leela_chess_zero.py | import logging
from typing import List, Optional, Type, Union
from ray.rllib.algorithms.algorithm import Algorithm
from ray.rllib.algorithms.algorithm_config import AlgorithmConfig, NotProvided
from ray.rllib.algorithms.callbacks import DefaultCallbacks
from ray.rllib.execution.rollout_ops import (
synchronous_par... | 17,664 | 39.986079 | 88 | py |
ray | ray-master/rllib/algorithms/leela_chess_zero/leela_chess_zero_model.py | import numpy as np
from ray.rllib.models.torch.torch_modelv2 import TorchModelV2
from ray.rllib.utils.typing import TensorType, ModelConfigDict
from ray.rllib.utils.annotations import override
from ray.rllib.models.preprocessors import get_preprocessor
from ray.rllib.utils.framework import try_import_torch
torch, nn ... | 6,377 | 35.445714 | 87 | py |
ray | ray-master/rllib/algorithms/leela_chess_zero/tests/test_leela_chess_zero.py | import unittest
import ray
import ray.rllib.algorithms.leela_chess_zero.leela_chess_zero as lz
from ray.rllib.algorithms.leela_chess_zero.leela_chess_zero_model import (
LeelaChessZeroModel,
)
from ray.rllib.examples.env.pettingzoo_chess import MultiAgentChess
from ray.rllib.utils.test_utils import (
check_tra... | 1,569 | 28.074074 | 80 | py |
ray | ray-master/rllib/algorithms/impala/impala_tf_policy.py | """Adapted from A3CTFPolicy to add V-trace.
Keep in sync with changes to A3CTFPolicy and VtraceSurrogatePolicy."""
import numpy as np
import logging
import gymnasium as gym
from typing import Dict, List, Optional, Type, Union
from ray.rllib.algorithms.impala import vtrace_tf as vtrace
from ray.rllib.evaluation.episo... | 18,003 | 38.920177 | 88 | py |
ray | ray-master/rllib/algorithms/impala/vtrace_torch.py | # Copyright 2018 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 14,451 | 39.256267 | 88 | py |
ray | ray-master/rllib/algorithms/impala/__init__.py | from ray.rllib.algorithms.impala.impala import Impala, ImpalaConfig
from ray.rllib.algorithms.impala.impala_tf_policy import (
ImpalaTF1Policy,
ImpalaTF2Policy,
)
from ray.rllib.algorithms.impala.impala_torch_policy import ImpalaTorchPolicy
__all__ = [
"ImpalaConfig",
"Impala",
"ImpalaTF1Policy",
... | 369 | 23.666667 | 77 | py |
ray | ray-master/rllib/algorithms/impala/impala_torch_policy.py | import gymnasium as gym
import logging
import numpy as np
from typing import Dict, List, Optional, Type, Union
import ray
from ray.rllib.evaluation.episode import Episode
from ray.rllib.evaluation.postprocessing import compute_bootstrap_value
from ray.rllib.models.modelv2 import ModelV2
from ray.rllib.models.action_di... | 14,151 | 36.538462 | 88 | py |
ray | ray-master/rllib/algorithms/impala/impala.py | import copy
import dataclasses
from functools import partial
import logging
import platform
import queue
import random
from typing import Callable, List, Optional, Set, Tuple, Type, Union
import numpy as np
import tree # pip install dm_tree
import ray
from ray import ObjectRef
from ray.rllib import SampleBatch
from ... | 55,558 | 43.094444 | 99 | py |
ray | ray-master/rllib/algorithms/impala/torch/vtrace_torch_v2.py | from typing import List, Union
from ray.rllib.utils.framework import try_import_torch
torch, nn = try_import_torch()
def make_time_major(
tensor: Union["torch.Tensor", List["torch.Tensor"]],
*,
trajectory_len: int = None,
recurrent_seq_len: int = None,
):
"""Swaps batch and trajectory axis.
... | 6,364 | 40.601307 | 87 | py |
ray | ray-master/rllib/algorithms/impala/torch/impala_torch_learner.py | from typing import Mapping
from ray.rllib.algorithms.impala.impala_learner import (
ImpalaLearner,
ImpalaLearnerHyperparameters,
)
from ray.rllib.algorithms.impala.torch.vtrace_torch_v2 import (
vtrace_torch,
make_time_major,
)
from ray.rllib.core.rl_module.rl_module import ModuleID
from ray.rllib.core... | 5,791 | 37.613333 | 88 | py |
ray | ray-master/rllib/algorithms/impala/tests/test_impala_learner.py | import unittest
import numpy as np
import tree # pip install dm_tree
import ray
from ray.rllib.algorithms.impala import ImpalaConfig
from ray.rllib.core.rl_module.rl_module import SingleAgentRLModuleSpec
from ray.rllib.policy.sample_batch import SampleBatch
from ray.rllib.utils.framework import try_import_torch, try... | 4,028 | 32.02459 | 87 | py |
ray | ray-master/rllib/algorithms/impala/tests/test_vtrace_v2.py | import unittest
import numpy as np
from gymnasium.spaces import Box, Discrete
from ray.rllib.algorithms.impala.tf.vtrace_tf_v2 import (
vtrace_tf2,
make_time_major,
)
from ray.rllib.algorithms.impala.torch.vtrace_torch_v2 import vtrace_torch
from ray.rllib.algorithms.impala.tests.test_vtrace import (
_gro... | 6,531 | 38.587879 | 88 | py |
ray | ray-master/rllib/algorithms/impala/tests/test_vtrace.py | # Copyright 2018 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 17,100 | 42.075567 | 88 | py |
ray | ray-master/rllib/algorithms/impala/tests/test_impala_off_policyness.py | import unittest
import ray
import ray.rllib.algorithms.impala as impala
from ray.rllib.utils.framework import try_import_tf
from ray.rllib.utils.test_utils import (
check_compute_single_action,
framework_iterator,
)
tf1, tf, tfv = try_import_tf()
class TestIMPALAOffPolicyNess(unittest.TestCase):
@classm... | 2,004 | 31.33871 | 86 | py |
ray | ray-master/rllib/algorithms/bc/tests/test_bc.py | import os
from pathlib import Path
import unittest
import ray
import ray.rllib.algorithms.bc as bc
from ray.rllib.utils.framework import try_import_tf
from ray.rllib.utils.test_utils import (
check_compute_single_action,
check_train_results,
framework_iterator,
)
tf1, tf, tfv = try_import_tf()
class Tes... | 2,657 | 30.270588 | 88 | py |
ray | ray-master/rllib/algorithms/sac/rnnsac_torch_policy.py | import gymnasium as gym
import numpy as np
from typing import List, Optional, Tuple, Type, Union
import copy
import ray
from ray.rllib.algorithms.dqn.dqn_tf_policy import PRIO_WEIGHTS
from ray.rllib.algorithms.sac import SACTorchPolicy
from ray.rllib.algorithms.sac.rnnsac_torch_model import RNNSACTorchModel
from ray.r... | 18,607 | 37.288066 | 87 | py |
ray | ray-master/rllib/algorithms/sac/sac.py | import logging
from typing import Type, Dict, Any, Optional, Union
from ray.rllib.algorithms.algorithm_config import AlgorithmConfig, NotProvided
from ray.rllib.algorithms.dqn.dqn import DQN
from ray.rllib.algorithms.sac.sac_tf_policy import SACTFPolicy
from ray.rllib.policy.policy import Policy
from ray.rllib.utils i... | 16,982 | 44.653226 | 88 | py |
ray | ray-master/rllib/algorithms/sac/sac_torch_model.py | import gymnasium as gym
from gymnasium.spaces import Box, Discrete
import numpy as np
import tree # pip install dm_tree
from typing import Dict, List, Optional
from ray.rllib.models.catalog import ModelCatalog
from ray.rllib.models.torch.torch_modelv2 import TorchModelV2
from ray.rllib.utils.annotations import overri... | 13,082 | 38.645455 | 88 | py |
ray | ray-master/rllib/algorithms/sac/sac_torch_policy.py | """
PyTorch policy class used for SAC.
"""
import gymnasium as gym
from gymnasium.spaces import Box, Discrete
import logging
import tree # pip install dm_tree
from typing import Dict, List, Optional, Tuple, Type, Union
import ray
import ray.experimental.tf_utils
from ray.rllib.algorithms.sac.sac_tf_policy import (
... | 20,130 | 37.862934 | 87 | py |
ray | ray-master/rllib/algorithms/sac/rnnsac.py | from typing import Type, Optional
from ray.rllib.algorithms.sac import (
SAC,
SACConfig,
)
from ray.rllib.algorithms.algorithm_config import AlgorithmConfig, NotProvided
from ray.rllib.algorithms.sac.rnnsac_torch_policy import RNNSACTorchPolicy
from ray.rllib.policy.policy import Policy
from ray.rllib.utils.an... | 4,956 | 38.031496 | 88 | py |
ray | ray-master/rllib/algorithms/sac/__init__.py | from ray.rllib.algorithms.sac.sac import SAC, SACConfig
from ray.rllib.algorithms.sac.sac_tf_policy import SACTFPolicy
from ray.rllib.algorithms.sac.sac_torch_policy import SACTorchPolicy
from ray.rllib.algorithms.sac.rnnsac import RNNSAC
from ray.rllib.algorithms.sac.rnnsac import RNNSACTorchPolicy, RNNSACConfig
__a... | 459 | 26.058824 | 75 | py |
ray | ray-master/rllib/algorithms/sac/rnnsac_torch_model.py | import gymnasium as gym
from typing import Optional, List, Dict
from ray.rllib.algorithms.sac.sac_torch_model import (
SACTorchModel,
)
from ray.rllib.models.modelv2 import ModelV2
from ray.rllib.policy.sample_batch import SampleBatch
from ray.rllib.policy.view_requirement import ViewRequirement
from ray.rllib.uti... | 6,104 | 34.086207 | 87 | py |
ray | ray-master/rllib/algorithms/sac/sac_tf_policy.py | """
TensorFlow policy class used for SAC.
"""
import copy
import gymnasium as gym
from gymnasium.spaces import Box, Discrete
from functools import partial
import logging
from typing import Dict, List, Optional, Tuple, Type, Union
import ray
import ray.experimental.tf_utils
from ray.rllib.algorithms.dqn.dqn_tf_policy ... | 30,701 | 37.618868 | 87 | py |
ray | ray-master/rllib/algorithms/sac/tests/test_sac.py | import gymnasium as gym
from gymnasium.spaces import Box, Dict, Discrete, Tuple
import numpy as np
import re
import unittest
import ray
from ray.rllib.algorithms import sac
from ray.rllib.algorithms.sac.sac_tf_policy import sac_actor_critic_loss as tf_loss
from ray.rllib.algorithms.sac.sac_torch_policy import actor_cr... | 30,257 | 38.760841 | 88 | py |
ray | ray-master/rllib/algorithms/sac/tests/test_rnnsac.py | import unittest
import ray
from ray.rllib.algorithms import sac
from ray.rllib.utils.framework import try_import_tf, try_import_torch
from ray.rllib.utils.test_utils import check_compute_single_action, framework_iterator
tf1, tf, tfv = try_import_tf()
torch, nn = try_import_torch()
class TestRNNSAC(unittest.TestCas... | 2,292 | 29.986486 | 86 | py |
ray | ray-master/rllib/algorithms/dreamer/dreamer.py | import logging
import numpy as np
import random
from typing import Optional, Type
from ray.rllib.algorithms.algorithm import Algorithm
from ray.rllib.algorithms.algorithm_config import AlgorithmConfig, NotProvided
from ray.rllib.algorithms.dreamer.dreamer_torch_policy import DreamerTorchPolicy
from ray.rllib.execution... | 16,108 | 37.538278 | 88 | py |
ray | ray-master/rllib/algorithms/dreamer/utils.py | import numpy as np
from ray.rllib.utils.framework import try_import_torch
torch, nn = try_import_torch()
# Custom initialization for different types of layers
if torch:
class Linear(nn.Linear):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
def reset_paramete... | 3,095 | 29.96 | 81 | py |
ray | ray-master/rllib/algorithms/dreamer/dreamer_torch_policy.py | from typing import (
List,
Tuple,
Union,
)
import logging
import numpy as np
from typing import Dict, Optional
from ray.rllib.algorithms.dreamer.utils import FreezeParameters, batchify_states
from ray.rllib.evaluation.episode import Episode
from ray.rllib.models.catalog import ModelCatalog
from ray.rllib... | 10,815 | 37.35461 | 88 | py |
ray | ray-master/rllib/algorithms/dreamer/dreamer_model.py | import numpy as np
from typing import Any, List, Tuple
from ray.rllib.models.torch.misc import Reshape
from ray.rllib.models.torch.torch_modelv2 import TorchModelV2
from ray.rllib.utils.framework import try_import_torch
from ray.rllib.utils.framework import TensorType
torch, nn = try_import_torch()
if torch:
from ... | 18,767 | 32.57424 | 88 | py |
ray | ray-master/rllib/algorithms/dreamer/tests/test_dreamer.py | from gymnasium.spaces import Box
import unittest
import ray
import ray.rllib.algorithms.dreamer as dreamer
from ray.rllib.examples.env.random_env import RandomEnv
from ray.rllib.utils.test_utils import framework_iterator
class TestDreamer(unittest.TestCase):
"""Sanity tests for Dreamer."""
def setUp(self):
... | 1,462 | 27.686275 | 77 | py |
ray | ray-master/rllib/tests/test_io.py | import glob
import json
import numpy as np
import os
import random
import shutil
import tempfile
import unittest
import ray
from ray.tune.registry import (
register_env,
register_input,
registry_get_input,
registry_contains_input,
)
from ray.rllib.algorithms.algorithm_config import AlgorithmConfig
from... | 17,581 | 34.519192 | 87 | py |
ray | ray-master/rllib/tests/test_reproducibility.py | import gymnasium as gym
import numpy as np
import unittest
import ray
from ray.rllib.algorithms.dqn import DQNConfig
from ray.rllib.utils.test_utils import framework_iterator
from ray.tune.registry import register_env
class TestReproducibility(unittest.TestCase):
def test_reproducing_trajectory(self):
cl... | 2,597 | 31.475 | 68 | py |
ray | ray-master/rllib/tests/test_nn_framework_import_errors.py | #!/usr/bin/env python
import os
import pytest
import ray.rllib.algorithms.ppo as ppo
from ray.rllib.utils.test_utils import framework_iterator
def test_dont_import_tf_error():
"""Check error being thrown, if tf not installed but configured."""
# Do not import tf for testing purposes.
os.environ["RLLIB_TE... | 1,064 | 32.28125 | 84 | py |
ray | ray-master/rllib/tests/test_algorithm_save_load_checkpoint_learner.py | import tempfile
import unittest
import ray
from ray.rllib.algorithms.algorithm_config import AlgorithmConfig
from ray.rllib.utils.test_utils import check, framework_iterator
from ray.rllib.algorithms.ppo import PPOConfig
from ray.rllib.policy.sample_batch import DEFAULT_POLICY_ID
from ray.rllib.utils.metrics.learner_i... | 4,905 | 37.031008 | 88 | py |
ray | ray-master/rllib/tests/test_algorithm_rl_module_restore.py | import gymnasium as gym
import numpy as np
import shutil
import tempfile
import tree
import unittest
import ray
from ray.rllib.algorithms.ppo import PPOConfig
from ray.rllib.algorithms.ppo.ppo_catalog import PPOCatalog
from ray.rllib.algorithms.ppo.tf.ppo_tf_rl_module import PPOTfRLModule
from ray.rllib.algorithms.ppo... | 14,476 | 40.481375 | 88 | py |
ray | ray-master/rllib/tests/test_dependency_tf.py | #!/usr/bin/env python
import os
import sys
if __name__ == "__main__":
# Do not import tf for testing purposes.
os.environ["RLLIB_TEST_NO_TF_IMPORT"] = "1"
# Test registering (includes importing) all Algorithms.
from ray.rllib import _register_all
# This should surface any dependency on tf, e.g. ... | 1,025 | 22.860465 | 77 | py |
ray | ray-master/rllib/tests/test_dependency_torch.py | #!/usr/bin/env python
import os
import sys
if __name__ == "__main__":
# Do not import torch for testing purposes.
os.environ["RLLIB_TEST_NO_TORCH_IMPORT"] = "1"
# Test registering (includes importing) all Algorithms.
from ray.rllib import _register_all
# This should surface any dependency on tor... | 1,193 | 26.136364 | 86 | py |
ray | ray-master/rllib/tests/test_rllib_train_and_evaluate.py | import os
from pathlib import Path
import re
import sys
import unittest
import ray
from ray import air, tune
from ray.rllib.algorithms.algorithm_config import AlgorithmConfig
from ray.rllib.examples.env.multi_agent import MultiAgentCartPole
from ray.rllib.utils.test_utils import framework_iterator
from ray.tune.regist... | 12,639 | 35.744186 | 87 | py |
ray | ray-master/rllib/tests/test_gpus.py | import unittest
import ray
from ray import air
from ray.rllib.algorithms.a2c.a2c import A2CConfig
from ray.rllib.utils.framework import try_import_torch
from ray.rllib.utils.test_utils import framework_iterator
from ray import tune
torch, _ = try_import_torch()
class TestGPUs(unittest.TestCase):
def test_gpus_i... | 4,944 | 40.554622 | 88 | py |
ray | ray-master/rllib/tests/test_dnc.py | import gymnasium as gym
import unittest
import ray
from ray import air
from ray import tune
from ray.rllib.algorithms.a2c import A2CConfig
from ray.rllib.examples.env.stateless_cartpole import StatelessCartPole
from ray.rllib.models.catalog import ModelCatalog
from ray.rllib.examples.models.neural_computer import DNCM... | 2,431 | 27.952381 | 80 | py |
ray | ray-master/rllib/tests/test_custom_resource.py | import pytest
import ray
from ray import air
from ray import tune
from ray.tune.registry import get_trainable_cls
@pytest.mark.parametrize("algorithm", ["PPO", "APEX", "IMPALA"])
def test_custom_resource(algorithm):
if ray.is_initialized:
ray.shutdown()
ray.init(
resources={"custom_resource"... | 1,044 | 22.75 | 85 | py |
ray | ray-master/rllib/tests/test_supported_spaces.py | import logging
import unittest
import ray
from ray.rllib.algorithms.a3c import A3CConfig
from ray.rllib.algorithms.appo import APPOConfig
from ray.rllib.algorithms.ars import ARSConfig
from ray.rllib.algorithms.ddpg import DDPGConfig
from ray.rllib.algorithms.dqn import DQNConfig
from ray.rllib.algorithms.es import ES... | 6,851 | 27.31405 | 88 | py |
ray | ray-master/rllib/tests/test_nested_observation_spaces.py | from gymnasium import spaces
import gymnasium as gym
import numpy as np
import pickle
import unittest
import ray
from ray.rllib.algorithms.a2c import A2CConfig
from ray.rllib.algorithms.pg import PGConfig
from ray.rllib.env import MultiAgentEnv
from ray.rllib.env.base_env import convert_to_base_env
from ray.rllib.env.... | 22,716 | 33.949231 | 87 | py |
ray | ray-master/rllib/tests/test_placement_groups.py | import os
import unittest
import ray
from ray import air
from ray import tune
from ray.tune import Callback
from ray.rllib.algorithms.pg import PG, PGConfig
from ray.tune.experiment import Trial
from ray.tune.execution.placement_groups import PlacementGroupFactory
trial_executor = None
class _TestCallback(Callback)... | 3,755 | 30.3 | 86 | py |
ray | ray-master/rllib/tests/run_regression_tests.py | #!/usr/bin/env python
# Runs one or more regression tests. Retries tests up to 3 times.
#
# Example usage:
# $ python run_regression_tests.py regression-tests/cartpole-es-[tf|torch].yaml
#
# When using in BAZEL (with py_test), e.g. see in ray/rllib/BUILD:
# py_test(
# name = "run_regression_tests",
# main = "te... | 8,918 | 36.953191 | 88 | py |
ray | ray-master/rllib/tests/test_model_imports.py | #!/usr/bin/env python
import h5py
import numpy as np
from pathlib import Path
import unittest
import ray
from ray.rllib.algorithms.ppo import PPOConfig
from ray.rllib.models.catalog import ModelCatalog
from ray.rllib.models.tf.misc import normc_initializer
from ray.rllib.models.tf.tf_modelv2 import TFModelV2
from ray... | 8,135 | 35.81448 | 88 | py |
ray | ray-master/rllib/tests/test_catalog.py | from functools import partial
from gymnasium.spaces import Box, Dict, Discrete, Tuple
import numpy as np
import unittest
import ray
from ray.rllib.models import ActionDistribution, ModelCatalog, MODEL_DEFAULTS
from ray.rllib.models.preprocessors import (
Preprocessor,
TupleFlatteningPreprocessor,
)
from ray.rl... | 9,805 | 35.453532 | 88 | py |
ray | ray-master/rllib/tests/git_bisect/debug_learning_failure_git_bisect.py | """
This script can be used to find learning- or performance regressions in RLlib.
If you think something broke after(!) some good commit C, do the following
while checked out in the current bad commit D (where D is newer than C):
$ cd ray
$ git bisect start
$ git bisect bad
$ git bisect good [the hash code of C]
$ g... | 7,849 | 31.172131 | 86 | py |
ray | ray-master/rllib/execution/multi_gpu_learner_thread.py | import logging
import queue
import threading
from ray.util.timer import _Timer
from ray.rllib.execution.learner_thread import LearnerThread
from ray.rllib.execution.minibatch_buffer import MinibatchBuffer
from ray.rllib.policy.sample_batch import SampleBatch
from ray.rllib.utils.annotations import override
from ray.rl... | 9,712 | 38.48374 | 84 | py |
ray | ray-master/rllib/execution/learner_thread.py | import copy
import queue
import threading
from typing import Dict, Optional
from ray.util.timer import _Timer
from ray.rllib.evaluation.rollout_worker import RolloutWorker
from ray.rllib.execution.minibatch_buffer import MinibatchBuffer
from ray.rllib.utils.framework import try_import_tf
from ray.rllib.utils.deprecati... | 5,905 | 41.185714 | 87 | py |
ray | ray-master/rllib/execution/train_ops.py | import logging
import numpy as np
import math
from typing import Dict
from ray.rllib.execution.common import (
LEARN_ON_BATCH_TIMER,
LOAD_BATCH_TIMER,
)
from ray.rllib.policy.sample_batch import DEFAULT_POLICY_ID
from ray.rllib.utils.annotations import DeveloperAPI
from ray.rllib.utils.framework import try_imp... | 8,161 | 40.642857 | 88 | py |
ray | ray-master/rllib/env/tests/test_external_env.py | import gymnasium as gym
import numpy as np
import random
import unittest
import uuid
import ray
from ray.rllib.algorithms.algorithm_config import AlgorithmConfig
from ray.rllib.algorithms.dqn import DQNConfig
from ray.rllib.algorithms.pg import PGConfig
from ray.rllib.policy.sample_batch import convert_ma_batch_to_sam... | 9,346 | 34.95 | 86 | py |
ray | ray-master/rllib/utils/error.py | from ray.rllib.utils.annotations import PublicAPI
@PublicAPI
class UnsupportedSpaceException(Exception):
"""Error for an unsupported action or observation space."""
pass
@PublicAPI
class EnvError(Exception):
"""Error if we encounter an error during RL environment validation."""
pass
@PublicAPI
c... | 5,281 | 40.590551 | 112 | py |
ray | ray-master/rllib/utils/numpy.py | from collections import OrderedDict
from gymnasium.spaces import Discrete, MultiDiscrete
import numpy as np
import tree # pip install dm_tree
from types import MappingProxyType
from typing import List, Optional
from ray.rllib.utils.annotations import PublicAPI
from ray.rllib.utils.deprecation import (
DEPRECATED... | 19,160 | 32.323478 | 88 | py |
ray | ray-master/rllib/utils/annotations.py | from ray.rllib.utils.deprecation import Deprecated
from ray.util.annotations import _mark_annotated
def override(cls):
"""Decorator for documenting method overrides.
Args:
cls: The superclass that provides the overridden method. If this
cls does not actually have the method, an error is r... | 5,793 | 34.546012 | 88 | py |
ray | ray-master/rllib/utils/sgd.py | """Utils for minibatch SGD across multiple RLlib policies."""
import logging
import numpy as np
import random
from ray.rllib.utils.annotations import DeveloperAPI
from ray.rllib.policy.sample_batch import SampleBatch, MultiAgentBatch
from ray.rllib.utils.metrics.learner_info import LearnerInfoBuilder
logger = loggin... | 4,606 | 32.627737 | 85 | py |
ray | ray-master/rllib/utils/typing.py | from typing import (
TYPE_CHECKING,
Any,
Callable,
Dict,
Hashable,
List,
Optional,
Tuple,
Type,
TypeVar,
Union,
)
import numpy as np
import gymnasium as gym
from ray.rllib.utils.annotations import ExperimentalAPI
if TYPE_CHECKING:
from ray.rllib.env.env_context import ... | 8,857 | 32.300752 | 82 | py |
ray | ray-master/rllib/utils/tensor_dtype.py | import numpy as np
from ray.rllib.utils.typing import TensorType
from ray.rllib.utils.framework import try_import_torch, try_import_tf
from ray.util.annotations import PublicAPI
torch, _ = try_import_torch()
_, tf, _ = try_import_tf()
# Dict of NumPy dtype -> torch dtype
if torch:
numpy_to_torch_dtype_dict = {
... | 1,906 | 27.893939 | 88 | py |
ray | ray-master/rllib/utils/framework.py | import logging
import numpy as np
import os
import sys
from typing import Any, Optional
from ray.rllib.utils.annotations import DeveloperAPI, PublicAPI
from ray.rllib.utils.deprecation import Deprecated
from ray.rllib.utils.typing import TensorShape, TensorType
logger = logging.getLogger(__name__)
@PublicAPI
def tr... | 9,669 | 29.408805 | 87 | py |
ray | ray-master/rllib/utils/torch_utils.py | import logging
import os
import warnings
from typing import Dict, List, Optional, TYPE_CHECKING, Union
import gymnasium as gym
import numpy as np
import tree # pip install dm_tree
from gymnasium.spaces import Discrete, MultiDiscrete
from packaging import version
import ray
from ray.rllib.models.repeated_values impor... | 24,224 | 33.167842 | 88 | py |
ray | ray-master/rllib/utils/__init__.py | import contextlib
from functools import partial
from ray.rllib.utils.annotations import override, PublicAPI, DeveloperAPI
from ray.rllib.utils.deprecation import deprecation_warning
from ray.rllib.utils.filter import Filter
from ray.rllib.utils.filter_manager import FilterManager
from ray.rllib.utils.framework import ... | 3,234 | 21.157534 | 79 | py |
ray | ray-master/rllib/utils/test_utils.py | from collections import Counter
import copy
import gymnasium as gym
from gymnasium.spaces import Box, Discrete, MultiDiscrete, MultiBinary
from gymnasium.spaces import Dict as GymDict
from gymnasium.spaces import Tuple as GymTuple
import logging
import numpy as np
import os
import pprint
import random
import re
import ... | 61,813 | 37.657911 | 88 | py |
ray | ray-master/rllib/utils/debug/deterministic.py | import numpy as np
import os
import random
from typing import Optional
from ray.rllib.utils.annotations import DeveloperAPI
from ray.rllib.utils.framework import try_import_tf, try_import_torch
@DeveloperAPI
def update_global_seed_if_necessary(
framework: Optional[str] = None, seed: Optional[int] = None
) -> Non... | 1,682 | 28.526316 | 74 | py |
ray | ray-master/rllib/utils/schedules/polynomial_schedule.py | from typing import Optional
from ray.rllib.utils.annotations import override, PublicAPI
from ray.rllib.utils.framework import try_import_tf, try_import_torch
from ray.rllib.utils.schedules.schedule import Schedule
from ray.rllib.utils.typing import TensorType
tf1, tf, tfv = try_import_tf()
torch, _ = try_import_torch... | 2,211 | 31.529412 | 79 | py |
ray | ray-master/rllib/utils/schedules/scheduler.py | from typing import Optional
from ray.rllib.utils.framework import try_import_tf, try_import_torch
from ray.rllib.utils.schedules.piecewise_schedule import PiecewiseSchedule
from ray.rllib.utils.typing import LearningRateOrSchedule, TensorType
_, tf, _ = try_import_tf()
torch, _ = try_import_torch()
class Scheduler... | 6,315 | 37.048193 | 88 | py |
ray | ray-master/rllib/utils/schedules/exponential_schedule.py | from typing import Optional
from ray.rllib.utils.annotations import override, PublicAPI
from ray.rllib.utils.framework import try_import_torch
from ray.rllib.utils.schedules.schedule import Schedule
from ray.rllib.utils.typing import TensorType
torch, _ = try_import_torch()
@PublicAPI
class ExponentialSchedule(Sche... | 1,829 | 34.882353 | 80 | py |
ray | ray-master/rllib/utils/schedules/piecewise_schedule.py | from typing import Callable, List, Optional, Tuple
from ray.rllib.utils.annotations import override, PublicAPI
from ray.rllib.utils.framework import try_import_tf
from ray.rllib.utils.schedules.schedule import Schedule
from ray.rllib.utils.typing import TensorType
tf1, tf, tfv = try_import_tf()
def _linear_interpol... | 4,134 | 38.380952 | 86 | py |
ray | ray-master/rllib/utils/schedules/constant_schedule.py | from typing import Optional
from ray.rllib.utils.annotations import override, PublicAPI
from ray.rllib.utils.framework import try_import_tf
from ray.rllib.utils.schedules.schedule import Schedule
from ray.rllib.utils.typing import TensorType
tf1, tf, tfv = try_import_tf()
@PublicAPI
class ConstantSchedule(Schedule)... | 998 | 29.272727 | 71 | py |
ray | ray-master/rllib/utils/schedules/tests/test_schedules.py | import unittest
from ray.rllib.utils.schedules import (
ConstantSchedule,
LinearSchedule,
ExponentialSchedule,
PiecewiseSchedule,
)
from ray.rllib.utils import check, framework_iterator, try_import_tf, try_import_torch
from ray.rllib.utils.from_config import from_config
tf1, tf, tfv = try_import_tf()
... | 4,796 | 36.476563 | 86 | py |
ray | ray-master/rllib/utils/tests/run_memory_leak_tests.py | #!/usr/bin/env python
# Runs one or more memory leak tests.
#
# Example usage:
# $ python run_memory_leak_tests.py memory-leak-test-ppo.yaml
#
# When using in BAZEL (with py_test), e.g. see in ray/rllib/BUILD:
# py_test(
# name = "memory_leak_ppo",
# main = "tests/test_memory_leak.py",
# tags = ["memory_lea... | 4,633 | 31.865248 | 87 | py |
ray | ray-master/rllib/utils/tests/test_torch_utils.py | import unittest
import numpy as np
import torch.cuda
import ray
from ray.rllib.utils.torch_utils import (
convert_to_torch_tensor,
copy_torch_tensors,
)
class TestTorchUtils(unittest.TestCase):
@classmethod
def setUpClass(cls) -> None:
ray.init()
@classmethod
def tearDownClass(cls) ... | 4,073 | 38.553398 | 84 | py |
ray | ray-master/rllib/utils/tests/test_framework_agnostic_components.py | from abc import ABCMeta, abstractmethod
from gymnasium.spaces import Discrete
import numpy as np
from pathlib import Path
import unittest
from ray.rllib.utils.exploration.exploration import Exploration
from ray.rllib.utils.framework import try_import_tf, try_import_torch
from ray.rllib.utils.from_config import from_co... | 6,208 | 34.278409 | 87 | py |
ray | ray-master/rllib/utils/tests/test_utils.py | import gymnasium as gym
import numpy as np
import tree # pip install dm_tree
import unittest
import ray
from ray.rllib.utils.framework import try_import_tf, try_import_torch
from ray.rllib.utils.numpy import flatten_inputs_to_1d_tensor as flatten_np
from ray.rllib.utils.numpy import make_action_immutable
from ray.rll... | 17,490 | 29.156897 | 87 | py |
ray | ray-master/rllib/utils/replay_buffers/prioritized_replay_buffer.py | import random
from typing import Any, Dict, List, Optional
import numpy as np
# Import ray before psutil will make sure we use psutil's bundled version
import ray # noqa F401
import psutil # noqa E402
from ray.rllib.execution.segment_tree import SumSegmentTree, MinSegmentTree
from ray.rllib.policy.sample_batch impo... | 8,789 | 35.473029 | 87 | py |
ray | ray-master/rllib/utils/replay_buffers/utils.py | import logging
import psutil
from typing import Optional, Any
import numpy as np
from ray.rllib.utils import deprecation_warning
from ray.rllib.utils.annotations import DeveloperAPI
from ray.rllib.utils.deprecation import DEPRECATED_VALUE
from ray.rllib.utils.from_config import from_config
from ray.rllib.utils.metric... | 16,312 | 40.298734 | 88 | py |
ray | ray-master/rllib/utils/exploration/stochastic_sampling.py | import functools
import gymnasium as gym
import numpy as np
from typing import Optional, Union
from ray.rllib.utils.deprecation import Deprecated
from ray.rllib.models.action_dist import ActionDistribution
from ray.rllib.models.modelv2 import ModelV2
from ray.rllib.utils.annotations import override
from ray.rllib.util... | 5,476 | 33.664557 | 87 | py |
ray | ray-master/rllib/utils/exploration/thompson_sampling.py | from typing import Union
from ray.rllib.utils.deprecation import Deprecated
from ray.rllib.models.action_dist import ActionDistribution
from ray.rllib.utils.annotations import override
from ray.rllib.utils.exploration.exploration import Exploration
from ray.rllib.utils.framework import (
TensorType,
try_import... | 1,540 | 31.104167 | 83 | py |
ray | ray-master/rllib/utils/exploration/random_encoder.py | from gymnasium.spaces import Box, Discrete, Space
import numpy as np
from typing import List, Optional, Union
from ray.rllib.models.action_dist import ActionDistribution
from ray.rllib.models.catalog import ModelCatalog
from ray.rllib.models.modelv2 import ModelV2
from ray.rllib.policy.sample_batch import SampleBatch
... | 10,768 | 35.629252 | 87 | py |
ray | ray-master/rllib/utils/exploration/per_worker_epsilon_greedy.py | from gymnasium.spaces import Space
from typing import Optional
from ray.rllib.utils.deprecation import Deprecated
from ray.rllib.utils.exploration.epsilon_greedy import EpsilonGreedy
from ray.rllib.utils.schedules import ConstantSchedule
@Deprecated(error=False)
class PerWorkerEpsilonGreedy(EpsilonGreedy):
"""A ... | 2,156 | 35.559322 | 88 | py |
ray | ray-master/rllib/utils/exploration/epsilon_greedy.py | import gymnasium as gym
import numpy as np
import tree # pip install dm_tree
import random
from typing import Union, Optional
from ray.rllib.models.torch.torch_action_dist import TorchMultiActionDistribution
from ray.rllib.models.action_dist import ActionDistribution
from ray.rllib.utils.annotations import override
f... | 9,478 | 37.221774 | 88 | py |
ray | ray-master/rllib/utils/exploration/per_worker_gaussian_noise.py | from gymnasium.spaces import Space
from typing import Optional
from ray.rllib.utils.deprecation import Deprecated
from ray.rllib.utils.exploration.gaussian_noise import GaussianNoise
from ray.rllib.utils.schedules import ConstantSchedule
@Deprecated(error=False)
class PerWorkerGaussianNoise(GaussianNoise):
"""A ... | 1,789 | 34.8 | 88 | py |
ray | ray-master/rllib/utils/exploration/upper_confidence_bound.py | from typing import Union
from ray.rllib.utils.deprecation import Deprecated
from ray.rllib.models.action_dist import ActionDistribution
from ray.rllib.utils.annotations import override
from ray.rllib.utils.exploration.exploration import Exploration
from ray.rllib.utils.framework import (
TensorType,
try_import... | 1,455 | 30.652174 | 88 | py |
ray | ray-master/rllib/utils/exploration/parameter_noise.py | from gymnasium.spaces import Box, Discrete
import numpy as np
from typing import Optional, TYPE_CHECKING, Union
from ray.rllib.env.base_env import BaseEnv
from ray.rllib.models.action_dist import ActionDistribution
from ray.rllib.models.modelv2 import ModelV2
from ray.rllib.models.tf.tf_action_dist import Categorical,... | 17,275 | 38.085973 | 88 | py |
ray | ray-master/rllib/utils/exploration/random.py | from gymnasium.spaces import Discrete, Box, MultiDiscrete, Space
import numpy as np
import tree # pip install dm_tree
from typing import Union, Optional
from ray.rllib.models.action_dist import ActionDistribution
from ray.rllib.models.modelv2 import ModelV2
from ray.rllib.utils.annotations import override
from ray.rl... | 6,710 | 38.476471 | 88 | py |
ray | ray-master/rllib/utils/exploration/soft_q.py | from gymnasium.spaces import Discrete, MultiDiscrete, Space
from typing import Union, Optional
from ray.rllib.utils.deprecation import Deprecated
from ray.rllib.models.action_dist import ActionDistribution
from ray.rllib.models.tf.tf_action_dist import Categorical
from ray.rllib.models.torch.torch_action_dist import T... | 2,164 | 36.982456 | 88 | py |
ray | ray-master/rllib/utils/exploration/per_worker_ornstein_uhlenbeck_noise.py | from gymnasium.spaces import Space
from typing import Optional
from ray.rllib.utils.deprecation import Deprecated
from ray.rllib.utils.exploration.ornstein_uhlenbeck_noise import OrnsteinUhlenbeckNoise
from ray.rllib.utils.schedules import ConstantSchedule
@Deprecated(error=False)
class PerWorkerOrnsteinUhlenbeckNoi... | 1,957 | 34.6 | 88 | py |
ray | ray-master/rllib/utils/exploration/gaussian_noise.py | from gymnasium.spaces import Space
import numpy as np
from typing import Union, Optional
from ray.rllib.models.action_dist import ActionDistribution
from ray.rllib.models.modelv2 import ModelV2
from ray.rllib.utils.annotations import override
from ray.rllib.utils.deprecation import Deprecated
from ray.rllib.utils.expl... | 9,246 | 36.136546 | 88 | py |
ray | ray-master/rllib/utils/exploration/slate_soft_q.py | from typing import Union
from ray.rllib.models.action_dist import ActionDistribution
from ray.rllib.utils.annotations import override
from ray.rllib.utils.deprecation import Deprecated
from ray.rllib.utils.exploration.exploration import TensorType
from ray.rllib.utils.exploration.soft_q import SoftQ
from ray.rllib.uti... | 1,559 | 31.5 | 80 | py |
ray | ray-master/rllib/utils/exploration/ornstein_uhlenbeck_noise.py | import numpy as np
from typing import Optional, Union
from ray.rllib.utils.deprecation import Deprecated
from ray.rllib.models.action_dist import ActionDistribution
from ray.rllib.utils.annotations import override
from ray.rllib.utils.exploration.gaussian_noise import GaussianNoise
from ray.rllib.utils.framework impor... | 10,502 | 37.192727 | 88 | py |
ray | ray-master/rllib/utils/exploration/curiosity.py | from gymnasium.spaces import Discrete, MultiDiscrete, Space
import numpy as np
from typing import Optional, Tuple, Union
from ray.rllib.models.action_dist import ActionDistribution
from ray.rllib.models.catalog import ModelCatalog
from ray.rllib.models.modelv2 import ModelV2
from ray.rllib.models.tf.tf_action_dist imp... | 18,707 | 40.946188 | 88 | py |
ray | ray-master/rllib/utils/exploration/slate_epsilon_greedy.py | from typing import Union
from ray.rllib.models.action_dist import ActionDistribution
from ray.rllib.utils.annotations import override
from ray.rllib.utils.deprecation import Deprecated
from ray.rllib.utils.exploration.epsilon_greedy import EpsilonGreedy
from ray.rllib.utils.exploration.exploration import TensorType
fr... | 3,769 | 32.963964 | 86 | py |
ray | ray-master/rllib/utils/exploration/exploration.py | from gymnasium.spaces import Space
from typing import Dict, List, Optional, Union, TYPE_CHECKING
from ray.rllib.env.base_env import BaseEnv
from ray.rllib.models.action_dist import ActionDistribution
from ray.rllib.models.modelv2 import ModelV2
from ray.rllib.policy.sample_batch import SampleBatch
from ray.rllib.utils... | 7,504 | 32.654709 | 86 | py |
ray | ray-master/rllib/utils/exploration/tests/test_parameter_noise.py | import numpy as np
import unittest
import ray
import ray.rllib.algorithms.ddpg as ddpg
import ray.rllib.algorithms.dqn as dqn
from ray.rllib.utils.test_utils import check, framework_iterator
class TestParameterNoise(unittest.TestCase):
@classmethod
def setUpClass(cls) -> None:
ray.init()
@classm... | 10,054 | 41.247899 | 83 | py |
ray | ray-master/rllib/utils/exploration/tests/test_curiosity.py | from collections import deque
import gymnasium as gym
import minigrid
import numpy as np
import sys
import unittest
import ray
from ray import air, tune
from ray.rllib.algorithms.callbacks import DefaultCallbacks
import ray.rllib.algorithms.ppo as ppo
from ray.rllib.utils.test_utils import check_learning_achieved, fra... | 11,488 | 35.473016 | 88 | py |
ray | ray-master/rllib/connectors/tests/test_action.py | import unittest
import gymnasium as gym
import numpy as np
from ray.rllib.connectors.action.clip import ClipActionsConnector
from ray.rllib.connectors.action.immutable import ImmutableActionsConnector
from ray.rllib.connectors.action.lambdas import ConvertToNumpyConnector
from ray.rllib.connectors.action.normalize im... | 3,995 | 34.678571 | 84 | py |
ray | ray-master/rllib/connectors/tests/test_agent.py | import gymnasium as gym
from gymnasium.spaces import Box
import numpy as np
import tree # pip install dm_tree
import unittest
from ray.rllib.algorithms.ppo.ppo import PPOConfig
from ray.rllib.connectors.agent.clip_reward import ClipRewardAgentConnector
from ray.rllib.connectors.agent.lambdas import FlattenDataAgentCo... | 23,424 | 35.716301 | 92 | py |
ray | ray-master/doc/external/pytorch_tutorials_hyperparameter_tuning_tutorial.py | # -*- coding: utf-8 -*-
# flake8: noqa
"""
Hyperparameter tuning with Ray Tune
===================================
Hyperparameter tuning can make the difference between an average model and a highly
accurate one. Often simple things like choosing a different learning rate or changing
a network layer size can have a dr... | 18,765 | 36.987854 | 107 | py |
ray | ray-master/doc/source/custom_directives.py | import logging
import logging.handlers
import os
import sys
import urllib
import urllib.request
from pathlib import Path
from queue import Queue
from urllib.parse import urlparse
import yaml
import requests
import scipy.linalg # noqa: F401
# Note: the scipy import has to stay here, it's used implicitly down the lin... | 10,528 | 29.78655 | 87 | py |
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