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
value |
|---|---|---|---|---|---|---|
ray | ray-master/python/ray/data/tests/test_execution_optimizer.py | import itertools
import sys
from typing import List, Optional
import numpy as np
import pandas as pd
import pyarrow as pa
import pytest
import ray
from ray.data._internal.execution.interfaces import ExecutionOptions
from ray.data._internal.execution.legacy_compat import _blocks_to_input_buffer
from ray.data._internal... | 53,805 | 35.429248 | 88 | py |
ray | ray-master/python/ray/data/tests/test_tf.py | import numpy as np
import pandas as pd
import pytest
import tensorflow as tf
import ray
from ray.air import session
from ray.air.config import ScalingConfig
from ray.data.preprocessors import Concatenator
from ray.train.tensorflow import TensorflowTrainer
class TestToTF:
def test_autosharding_is_disabled(self):
... | 7,034 | 35.450777 | 86 | py |
ray | ray-master/python/ray/data/tests/test_torch.py | import numpy as np
import pandas as pd
import pytest
import ray
from ray.data.extensions.tensor_extension import TensorArray
from ray.data.tests.conftest import * # noqa
from ray.tests.conftest import * # noqa
def test_to_torch(ray_start_10_cpus_shared):
import torch
df1 = pd.DataFrame(
{"one": [1... | 11,450 | 32.878698 | 88 | py |
ray | ray-master/python/ray/data/tests/test_raydp.py | import pandas
import pytest
import raydp
import torch
import ray
from ray.data.tests.conftest import * # noqa
from ray.data.tests.test_execution_optimizer import _check_usage_record
# RayDP tests require Ray Java. Make sure ray jar is built before running this test.
@pytest.fixture(scope="function")
def spark(reque... | 2,693 | 30.325581 | 84 | py |
ray | ray-master/python/ray/data/tests/test_iterator.py | from typing import Dict
from unittest.mock import MagicMock, patch
import numpy as np
import pytest
import tensorflow as tf
import torch
import ray
def build_model():
import tensorflow as tf
model = tf.keras.Sequential(
[
tf.keras.layers.InputLayer(input_shape=()),
tf.keras.... | 7,190 | 30.818584 | 88 | py |
ray | ray-master/python/ray/data/tests/test_tensor.py | import time
import numpy as np
import pandas as pd
import pyarrow as pa
import pytest
import ray
from ray.air.util.tensor_extensions.utils import _create_possibly_ragged_ndarray
from ray.data.block import BlockAccessor
from ray.data.extensions.tensor_extension import (
ArrowTensorArray,
ArrowTensorType,
A... | 30,205 | 32.303197 | 88 | py |
ray | ray-master/python/ray/data/tests/test_webdataset.py | # Copyright NVIDIA Corporation 2023
# SPDX-License-Identifier: Apache-2.0
import glob
import io
import os
import tarfile
import pytest
import ray
from ray.tests.conftest import * # noqa
class TarWriter:
def __init__(self, path):
self.path = path
self.tar = tarfile.open(path, "w")
def __en... | 6,787 | 31.951456 | 88 | py |
ray | ray-master/python/ray/data/tests/test_object_gc.py | import pytest
import ray
from ray._private.internal_api import memory_summary
from ray.tests.conftest import * # noqa
def check_no_spill(ctx, pipe):
# Run up to 10 epochs of the pipeline to stress test that
# no spilling will happen.
max_epoch = 10
for p in pipe.iter_epochs(max_epoch):
for _... | 8,263 | 35.405286 | 85 | py |
ray | ray-master/python/ray/data/tests/preprocessors/test_torch.py | import numpy as np
import pytest
import torch
from torchvision import transforms
import ray
from ray.data.preprocessors import TorchVisionPreprocessor
class TestTorchVisionPreprocessor:
def test_repr(self):
class StubTransform:
def __call__(self, tensor):
return tensor
... | 4,449 | 34.31746 | 86 | py |
ray | ray-master/python/ray/data/tests/preprocessors/test_vectorizer.py | from collections import Counter
import pandas as pd
import pytest
import ray
from ray.data.preprocessors import CountVectorizer
def test_count_vectorizer():
"""Tests basic CountVectorizer functionality."""
# Increase data size & repartition to test for
# discuss.ray.io/t/xgboost-ray-crashes-when-used-f... | 2,667 | 28.977528 | 87 | py |
ray | ray-master/python/ray/data/_internal/torch_iterable_dataset.py | from typing import TYPE_CHECKING, Dict, Union
from torch.utils.data import IterableDataset
if TYPE_CHECKING:
import torch
TorchTensorBatchType = Union["torch.Tensor", Dict[str, "torch.Tensor"]]
class TorchIterableDataset(IterableDataset):
def __init__(self, generator_func):
self.generator_func = g... | 416 | 20.947368 | 71 | py |
ray | ray-master/python/ray/data/_internal/numpy_support.py | from typing import Any
import numpy as np
from ray.air.util.tensor_extensions.utils import create_ragged_ndarray
from ray.data._internal.dataset_logger import DatasetLogger
from ray.data._internal.util import _truncated_repr
logger = DatasetLogger(__name__)
def is_array_like(value: Any) -> bool:
"""Checks whet... | 4,074 | 38.563107 | 93 | py |
ray | ray-master/python/ray/data/_internal/iterator/iterator_impl.py | from typing import TYPE_CHECKING, Iterator, Optional, Tuple, Union
from ray.data._internal.stats import DatasetStats
from ray.data.block import Block, BlockMetadata
from ray.data.iterator import DataIterator
from ray.types import ObjectRef
if TYPE_CHECKING:
import pyarrow
from ray.data import Dataset
class... | 1,850 | 30.372881 | 79 | py |
ray | ray-master/python/ray/data/_internal/iterator/pipelined_iterator.py | from typing import TYPE_CHECKING, Any, Callable, Iterator, Optional, Tuple, Union
from ray.data._internal.stats import DatasetStats
from ray.data.block import Block, BlockMetadata, DataBatch
from ray.data.iterator import DataIterator
from ray.types import ObjectRef
if TYPE_CHECKING:
import pyarrow
from ray.d... | 3,965 | 35.054545 | 83 | py |
ray | ray-master/python/ray/data/datasource/webdataset_datasource.py | # Copyright NVIDIA Corporation 2023
# SPDX-License-Identifier: Apache-2.0
import fnmatch
import io
import re
import tarfile
import time
import uuid
from functools import partial
from typing import TYPE_CHECKING, Any, Callable, Dict, List, Optional, Union
from ray.data.block import BlockAccessor
from ray.data.datasour... | 12,607 | 31.163265 | 88 | py |
ray | ray-master/python/ray/serve/experimental/gradio_visualize_graph.py | from collections import defaultdict
from io import BytesIO
import logging
from pydoc import locate
from typing import Any, Dict, Optional
import ray
from ray import cloudpickle
from ray.experimental.gradio_utils import type_to_string
from ray.dag import (
DAGNode,
InputNode,
InputAttributeNode,
)
from ray... | 13,711 | 35.17942 | 88 | py |
ray | ray-master/rllib/common.py | import argparse
from dataclasses import dataclass
from enum import Enum
import os.path
import tempfile
import typer
from typing import Optional
import requests
from ray.tune.experiment.config_parser import _make_parser
from ray.tune.result import DEFAULT_RESULTS_DIR
class FrameworkEnum(str, Enum):
"""Supported ... | 25,280 | 38.439938 | 88 | py |
ray | ray-master/rllib/__init__.py | import logging
from ray._private.usage import usage_lib
# Note: do not introduce unnecessary library dependencies here, e.g. gym.
# This file is imported from the tune module in order to register RLlib agents.
from ray.rllib.env.base_env import BaseEnv
from ray.rllib.env.external_env import ExternalEnv
from ray.rllib... | 1,639 | 28.285714 | 79 | py |
ray | ray-master/rllib/train.py | #!/usr/bin/env python
import importlib
import json
import os
from pathlib import Path
import sys
import typer
from typing import Optional
import yaml
import ray
from ray.tune.resources import resources_to_json, json_to_resources
from ray.tune.tune import run_experiments
from ray.tune.schedulers import create_scheduler... | 14,500 | 32.960187 | 86 | py |
ray | ray-master/rllib/policy/tf_policy.py | import logging
import math
from typing import TYPE_CHECKING, Dict, List, Optional, Tuple, Union
import gymnasium as gym
import numpy as np
import tree # pip install dm_tree
import ray
import ray.experimental.tf_utils
from ray.rllib.models.modelv2 import ModelV2
from ray.rllib.policy.policy import Policy, PolicyState... | 49,469 | 39.482815 | 103 | py |
ray | ray-master/rllib/policy/dynamic_tf_policy.py | from collections import namedtuple, OrderedDict
import gymnasium as gym
import logging
import re
import tree # pip install dm_tree
from typing import Callable, Dict, List, Optional, Tuple, Type, Union
from ray.util.debug import log_once
from ray.rllib.models.tf.tf_action_dist import TFActionDistribution
from ray.rlli... | 57,884 | 41.34455 | 88 | py |
ray | ray-master/rllib/policy/eager_tf_policy_v2.py | """Eager mode TF policy built using build_tf_policy().
It supports both traced and non-traced eager execution modes.
"""
import logging
import os
import threading
from typing import Dict, List, Optional, Tuple, Type, Union
import gymnasium as gym
import numpy as np
import tree # pip install dm_tree
from ray.rllib.... | 46,928 | 37.784298 | 88 | py |
ray | ray-master/rllib/policy/view_requirement.py | import dataclasses
import gymnasium as gym
from typing import Dict, List, Optional, Union
import numpy as np
from ray.rllib.utils.annotations import PublicAPI
from ray.rllib.utils.framework import try_import_torch
from ray.rllib.utils.serialization import (
gym_space_to_dict,
gym_space_from_dict,
)
torch, _ =... | 6,290 | 41.506757 | 87 | py |
ray | ray-master/rllib/policy/dynamic_tf_policy_v2.py | from collections import OrderedDict
import gymnasium as gym
import logging
import re
import tree # pip install dm_tree
from typing import TYPE_CHECKING, Dict, List, Optional, Tuple, Type, Union
from ray.rllib.models.catalog import ModelCatalog
from ray.rllib.models.modelv2 import ModelV2
from ray.rllib.models.tf.tf_a... | 41,087 | 37.507966 | 88 | py |
ray | ray-master/rllib/policy/policy.py | import json
import logging
import os
import platform
from abc import ABCMeta, abstractmethod
from typing import (
TYPE_CHECKING,
Any,
Callable,
Container,
Dict,
List,
Mapping,
Optional,
Tuple,
Type,
Union,
)
import gymnasium as gym
import numpy as np
import tree # pip insta... | 77,638 | 40.473825 | 88 | py |
ray | ray-master/rllib/policy/tf_policy_template.py | import gymnasium as gym
from typing import Callable, Dict, List, Optional, Tuple, Type, Union, TYPE_CHECKING
from ray.rllib.models.tf.tf_action_dist import TFActionDistribution
from ray.rllib.models.modelv2 import ModelV2
from ray.rllib.policy.dynamic_tf_policy import DynamicTFPolicy
from ray.rllib.policy import eager... | 17,059 | 43.543081 | 88 | py |
ray | ray-master/rllib/policy/eager_tf_policy.py | """Eager mode TF policy built using build_tf_policy().
It supports both traced and non-traced eager execution modes."""
import functools
import logging
import os
import threading
from typing import Dict, List, Optional, Tuple, Union
import tree # pip install dm_tree
from ray.rllib.evaluation.episode import Episode... | 45,369 | 40.471664 | 88 | py |
ray | ray-master/rllib/policy/torch_policy_template.py | import gymnasium as gym
from typing import Callable, Dict, List, Optional, Tuple, Type, Union
from ray.rllib.models.modelv2 import ModelV2
from ray.rllib.models.torch.torch_action_dist import TorchDistributionWrapper
from ray.rllib.policy.policy import Policy
from ray.rllib.policy.policy_template import build_policy_c... | 3,674 | 35.029412 | 87 | py |
ray | ray-master/rllib/policy/__init__.py | from ray.rllib.policy.policy import Policy
from ray.rllib.policy.torch_policy import TorchPolicy
from ray.rllib.policy.tf_policy import TFPolicy
from ray.rllib.policy.policy_template import build_policy_class
from ray.rllib.policy.torch_policy_template import build_torch_policy
from ray.rllib.policy.tf_policy_template ... | 482 | 29.1875 | 69 | py |
ray | ray-master/rllib/policy/rnn_sequencing.py | """RNN utils for RLlib.
The main trick here is that we add the time dimension at the last moment.
The non-LSTM layers of the model see their inputs as one flat batch. Before
the LSTM cell, we reshape the input to add the expected time dimension. During
postprocessing, we dynamically pad the experience batches so that ... | 26,034 | 38.387292 | 88 | py |
ray | ray-master/rllib/policy/policy_template.py | from typing import (
Any,
Callable,
Dict,
List,
Optional,
Tuple,
Type,
TYPE_CHECKING,
Union,
)
import gymnasium as gym
from ray.rllib.models.catalog import ModelCatalog
from ray.rllib.models.jax.jax_modelv2 import JAXModelV2
from ray.rllib.models.modelv2 import ModelV2
from ray.rll... | 20,124 | 43.133772 | 87 | py |
ray | ray-master/rllib/policy/torch_policy_v2.py | import copy
import functools
import logging
import math
import os
import threading
import time
from typing import TYPE_CHECKING, Any, Dict, List, Optional, Set, Tuple, Type, Union
import gymnasium as gym
import numpy as np
import tree # pip install dm_tree
import ray
from ray.rllib.core.models.base import STATE_IN, ... | 59,634 | 39.375762 | 103 | py |
ray | ray-master/rllib/policy/torch_mixins.py | from ray.rllib.policy.policy import Policy, PolicyState
from ray.rllib.policy.sample_batch import SampleBatch
from ray.rllib.policy.torch_policy import TorchPolicy
from ray.rllib.utils.annotations import DeveloperAPI, override
from ray.rllib.utils.deprecation import Deprecated
from ray.rllib.utils.framework import try_... | 9,077 | 38.641921 | 87 | py |
ray | ray-master/rllib/policy/tf_mixins.py | import logging
from typing import Dict, List
import numpy as np
from ray.rllib.models.modelv2 import ModelV2
from ray.rllib.policy.eager_tf_policy import EagerTFPolicy
from ray.rllib.policy.eager_tf_policy_v2 import EagerTFPolicyV2
from ray.rllib.policy.policy import Policy, PolicyState
from ray.rllib.policy.sample_... | 16,737 | 38.947494 | 87 | py |
ray | ray-master/rllib/policy/torch_policy.py | import copy
import functools
import logging
import math
import os
import threading
import time
from typing import (
TYPE_CHECKING,
Any,
Callable,
Dict,
List,
Optional,
Set,
Tuple,
Type,
Union,
)
import gymnasium as gym
import numpy as np
import tree # pip install dm_tree
impor... | 50,075 | 39.613139 | 103 | py |
ray | ray-master/rllib/policy/sample_batch.py | import collections
from functools import partial
import itertools
import sys
from numbers import Number
from typing import Dict, Iterator, Set, Union
from typing import List, Optional
import numpy as np
import tree # pip install dm_tree
from ray.rllib.utils.annotations import DeveloperAPI, ExperimentalAPI, PublicAPI... | 69,487 | 37.776786 | 88 | py |
ray | ray-master/rllib/policy/tests/test_sample_batch.py | import copy
import functools
import os
import unittest
import numpy as np
import torch
import tree
import ray
from ray.rllib.models.repeated_values import RepeatedValues
from ray.rllib.policy.sample_batch import (
SampleBatch,
attempt_count_timesteps,
concat_samples,
)
from ray.rllib.utils.compression imp... | 20,164 | 34.315236 | 88 | py |
ray | ray-master/rllib/policy/tests/test_rnn_sequencing.py | import unittest
import numpy as np
import ray
from ray.rllib.policy.rnn_sequencing import (
pad_batch_to_sequences_of_same_size,
add_time_dimension,
chop_into_sequences,
)
from ray.rllib.policy.sample_batch import SampleBatch
from ray.rllib.policy.view_requirement import ViewRequirement
from ray.rllib.uti... | 7,554 | 34.303738 | 86 | py |
ray | ray-master/rllib/policy/tests/test_export_checkpoint_and_model.py | #!/usr/bin/env python
import numpy as np
import os
import shutil
import unittest
import ray
from ray.rllib.examples.env.multi_agent import MultiAgentCartPole
from ray.rllib.policy.sample_batch import DEFAULT_POLICY_ID
from ray.rllib.utils.framework import try_import_tf, try_import_torch
from ray.rllib.utils.test_util... | 7,152 | 37.456989 | 86 | py |
ray | ray-master/rllib/policy/tests/test_policy_state_swapping.py | import gymnasium as gym
import numpy as np
import tree # pip install dm_tree
import unittest
import ray
from ray.rllib.algorithms.appo import (
APPOConfig,
APPOTF1Policy,
APPOTF2Policy,
APPOTorchPolicy,
)
from ray.rllib.policy.policy_map import PolicyMap
from ray.rllib.utils.framework import try_impor... | 5,523 | 36.578231 | 87 | py |
ray | ray-master/rllib/policy/tests/test_policy_checkpoint_restore.py | #!/usr/bin/env python
import os
import tempfile
import unittest
import gymnasium as gym
import ray
from ray.rllib.algorithms.appo.appo import APPOConfig
from ray.rllib.algorithms.ppo import PPOConfig
from ray.rllib.policy import Policy
from ray.rllib.utils.test_utils import framework_iterator
def _do_checkpoint_tw... | 4,796 | 33.264286 | 88 | py |
ray | ray-master/rllib/policy/tests/test_compute_log_likelihoods.py | import unittest
import gymnasium as gym
import numpy as np
import torch
from scipy.stats import norm
import ray
import ray.rllib.algorithms.dqn as dqn
import ray.rllib.algorithms.pg as pg
import ray.rllib.algorithms.ppo as ppo
import ray.rllib.algorithms.sac as sac
from ray.rllib.algorithms.crr import CRRConfig
from ... | 10,710 | 33.551613 | 85 | py |
ray | ray-master/rllib/policy/tests/test_policy.py | import unittest
import ray
from ray.rllib.algorithms.ppo import PPOConfig
from ray.rllib.policy.dynamic_tf_policy_v2 import DynamicTFPolicyV2
from ray.rllib.policy.eager_tf_policy_v2 import EagerTFPolicyV2
from ray.rllib.policy.policy import Policy
from ray.rllib.policy.torch_policy_v2 import TorchPolicyV2
from ray.rl... | 2,686 | 40.984375 | 88 | py |
ray | ray-master/rllib/evaluation/rollout_worker.py | import copy
import importlib.util
import logging
import os
import platform
import threading
from collections import defaultdict
from types import FunctionType
from typing import (
TYPE_CHECKING,
Any,
Callable,
Container,
Dict,
List,
Optional,
Set,
Tuple,
Type,
Union,
)
impor... | 85,682 | 40.694891 | 88 | py |
ray | ray-master/rllib/evaluation/postprocessing.py | import numpy as np
import scipy.signal
from typing import Dict, Optional
from ray.rllib.evaluation.episode import Episode
from ray.rllib.policy.policy import Policy
from ray.rllib.policy.sample_batch import SampleBatch
from ray.rllib.utils.annotations import DeveloperAPI
from ray.rllib.utils.nested_dict import NestedD... | 14,042 | 38.669492 | 88 | py |
ray | ray-master/rllib/evaluation/tests/test_rollout_worker.py | import gymnasium as gym
from gymnasium.spaces import Box, Discrete
import json
import numpy as np
import os
import random
import tempfile
import time
import unittest
import ray
from ray.rllib.algorithms.a2c import A2CConfig
from ray.rllib.algorithms.algorithm_config import AlgorithmConfig
from ray.rllib.algorithms.pg ... | 39,282 | 36.483779 | 88 | py |
ray | ray-master/rllib/evaluation/tests/test_trajectory_view_api.py | import gymnasium as gym
from gymnasium.spaces import Box, Discrete
import numpy as np
import unittest
import ray
from ray.rllib.algorithms.callbacks import DefaultCallbacks
import ray.rllib.algorithms.dqn as dqn
import ray.rllib.algorithms.ppo as ppo
from ray.rllib.examples.env.debug_counter_env import MultiAgentDebug... | 30,599 | 37.685209 | 88 | py |
ray | ray-master/rllib/evaluation/tests/test_env_runner_v2.py | import unittest
import numpy as np
import ray
from ray.rllib.algorithms.callbacks import DefaultCallbacks
from ray.rllib.algorithms.ppo import PPO, PPOConfig
from ray.rllib.connectors.connector import ActionConnector, ConnectorContext
from ray.rllib.evaluation.metrics import RolloutMetrics
from ray.rllib.examples.env.... | 17,840 | 35.709877 | 87 | py |
ray | ray-master/rllib/evaluation/collectors/simple_list_collector.py | import collections
from gymnasium.spaces import Space
import logging
import numpy as np
import tree # pip install dm_tree
from typing import Dict, List, Optional, Tuple, TYPE_CHECKING, Union
from ray.rllib.env.base_env import _DUMMY_AGENT_ID
from ray.rllib.evaluation.collectors.sample_collector import SampleCollector... | 29,037 | 40.247159 | 88 | py |
ray | ray-master/rllib/evaluation/collectors/agent_collector.py | import copy
import logging
import math
from typing import Any, Dict, List, Optional
import numpy as np
import tree # pip install dm_tree
from gymnasium.spaces import Space
from ray.rllib.policy.sample_batch import SampleBatch
from ray.rllib.policy.view_requirement import ViewRequirement
from ray.rllib.utils.framewor... | 30,984 | 43.905797 | 88 | py |
ray | ray-master/rllib/core/testing/utils.py | from typing import Optional, Type, Union, TYPE_CHECKING
from ray.rllib.core.rl_module.rl_module import SingleAgentRLModuleSpec
from ray.rllib.utils.annotations import DeveloperAPI
from ray.rllib.core.learner.learner_group import LearnerGroup
from ray.rllib.core.learner.learner import (
FrameworkHyperparameters,
... | 5,741 | 29.380952 | 88 | py |
ray | ray-master/rllib/core/testing/bc_algorithm.py | """Contains example implementation of a custom algorithm.
Note: It doesn't include any real use-case functionality; it only serves as an example
to test the algorithm construction and customization.
"""
from ray.rllib.algorithms import Algorithm, AlgorithmConfig
from ray.rllib.policy.torch_policy_v2 import TorchPolic... | 1,787 | 37.042553 | 86 | py |
ray | ray-master/rllib/core/testing/torch/bc_module.py | from typing import Any, Mapping
from ray.rllib.policy.sample_batch import SampleBatch
from ray.rllib.core.rl_module.rl_module import RLModule, RLModuleConfig
from ray.rllib.models.torch.torch_distributions import TorchCategorical
from ray.rllib.core.rl_module.marl_module import (
MultiAgentRLModuleConfig,
Mult... | 5,718 | 33.245509 | 87 | py |
ray | ray-master/rllib/core/testing/torch/bc_learner.py | import torch
from typing import Any, Mapping
from ray.rllib.core.learner.learner import LearnerHyperparameters
from ray.rllib.core.learner.torch.torch_learner import TorchLearner
from ray.rllib.core.rl_module.rl_module import ModuleID
from ray.rllib.core.testing.testing_learner import BaseTestingLearner
from ray.rllib... | 1,053 | 35.344828 | 79 | py |
ray | ray-master/rllib/core/testing/tests/test_bc_algorithm.py | import unittest
import gymnasium as gym
import ray
from ray.rllib.core.testing.torch.bc_module import (
DiscreteBCTorchModule,
BCTorchRLModuleWithSharedGlobalEncoder,
BCTorchMultiAgentModuleWithSharedEncoder,
)
from ray.rllib.core.testing.tf.bc_module import (
DiscreteBCTFModule,
BCTfRLModuleWithSh... | 5,212 | 35.711268 | 88 | py |
ray | ray-master/rllib/core/testing/tf/bc_module.py | import tensorflow as tf
from typing import Any, Mapping
from ray.rllib.core.rl_module.rl_module import RLModule, RLModuleConfig
from ray.rllib.models.tf.tf_distributions import TfCategorical
from ray.rllib.core.rl_module.marl_module import (
MultiAgentRLModule,
MultiAgentRLModuleConfig,
)
from ray.rllib.core.r... | 5,533 | 33.5875 | 85 | py |
ray | ray-master/rllib/core/models/base.py | import abc
from typing import List, Optional, Tuple, Union
from ray.rllib.core.models.configs import ModelConfig
from ray.rllib.core.models.specs.specs_base import Spec
from ray.rllib.policy.sample_batch import SampleBatch
from ray.rllib.policy.rnn_sequencing import get_fold_unfold_fns
from ray.rllib.utils.annotation... | 15,978 | 33.888646 | 88 | py |
ray | ray-master/rllib/core/models/catalog.py | import enum
import functools
from typing import Optional
import gymnasium as gym
import numpy as np
import tree
from gymnasium.spaces import Box, Dict, Discrete, MultiDiscrete, Tuple
from ray.rllib.core.models.base import Encoder
from ray.rllib.core.models.configs import (
CNNEncoderConfig,
MLPEncoderConfig,
... | 24,604 | 39.804312 | 88 | py |
ray | ray-master/rllib/core/models/configs.py | import abc
from dataclasses import dataclass, field
import functools
from typing import Callable, List, Optional, Tuple, TYPE_CHECKING, Union
import numpy as np
from ray.rllib.models.torch.misc import (
same_padding,
same_padding_transpose_after_stride,
valid_padding,
)
from ray.rllib.models.utils import ... | 35,108 | 36.469584 | 88 | py |
ray | ray-master/rllib/core/models/torch/base.py | import abc
import logging
from typing import Tuple, Union
import numpy as np
from ray.rllib.core.models.base import Model
from ray.rllib.core.models.configs import ModelConfig
from ray.rllib.core.models.specs.checker import (
is_input_decorated,
is_output_decorated,
check_input_specs,
check_output_spe... | 5,035 | 34.971429 | 85 | py |
ray | ray-master/rllib/core/models/torch/utils.py | from ray.rllib.utils.framework import try_import_torch
torch, nn = try_import_torch()
class Stride2D(nn.Module):
"""A striding layer for doing torch Conv2DTranspose operations.
Using this layer before the 0-padding (on a 3D input "image") and before
the actual ConvTranspose2d allows for a padding="same"... | 2,834 | 34 | 87 | py |
ray | ray-master/rllib/core/models/torch/encoder.py | from typing import Optional
import tree
from ray.rllib.core.models.base import (
Encoder,
ActorCriticEncoder,
StatefulActorCriticEncoder,
STATE_IN,
STATE_OUT,
ENCODER_OUT,
)
from ray.rllib.core.models.base import Model, tokenize
from ray.rllib.core.models.configs import (
ActorCriticEncode... | 12,002 | 31.884932 | 88 | py |
ray | ray-master/rllib/core/models/torch/heads.py | import functools
from typing import Optional
import numpy as np
from ray.rllib.core.models.base import Model
from ray.rllib.core.models.configs import (
CNNTransposeHeadConfig,
FreeLogStdMLPHeadConfig,
MLPHeadConfig,
)
from ray.rllib.core.models.specs.checker import SpecCheckingError
from ray.rllib.core.m... | 8,794 | 40.29108 | 88 | py |
ray | ray-master/rllib/core/models/torch/primitives.py | from typing import Callable, List, Optional, Union, Tuple
from ray.rllib.core.models.torch.utils import Stride2D
from ray.rllib.models.torch.misc import (
same_padding,
same_padding_transpose_after_stride,
valid_padding,
)
from ray.rllib.models.utils import get_activation_fn
from ray.rllib.utils.framework ... | 14,652 | 43.003003 | 88 | py |
ray | ray-master/rllib/core/models/tests/test_recurrent_encoders.py | import itertools
import unittest
from ray.rllib.core.models.base import ENCODER_OUT, STATE_OUT
from ray.rllib.core.models.configs import RecurrentEncoderConfig
from ray.rllib.utils.framework import try_import_tf, try_import_torch
from ray.rllib.utils.test_utils import framework_iterator, ModelChecker
_, tf, _ = try_i... | 5,022 | 33.40411 | 88 | py |
ray | ray-master/rllib/core/models/tests/test_mlp_encoders.py | import itertools
import unittest
from ray.rllib.core.models.configs import MLPEncoderConfig
from ray.rllib.core.models.base import ENCODER_OUT
from ray.rllib.utils.framework import try_import_tf, try_import_torch
from ray.rllib.utils.test_utils import framework_iterator, ModelChecker
_, tf, _ = try_import_tf()
torch,... | 3,321 | 36.325843 | 87 | py |
ray | ray-master/rllib/core/models/tests/test_cnn_encoders.py | import itertools
import unittest
from ray.rllib.core.models.base import ENCODER_OUT
from ray.rllib.core.models.configs import CNNEncoderConfig
from ray.rllib.models.utils import get_filter_config
from ray.rllib.utils.framework import try_import_tf, try_import_torch
from ray.rllib.utils.test_utils import framework_iter... | 4,268 | 34.87395 | 88 | py |
ray | ray-master/rllib/core/models/tests/test_mlp_heads.py | import itertools
import unittest
from ray.rllib.core.models.configs import MLPHeadConfig, FreeLogStdMLPHeadConfig
from ray.rllib.utils.framework import try_import_tf, try_import_torch
from ray.rllib.utils.test_utils import framework_iterator, ModelChecker
_, tf, _ = try_import_tf()
torch, nn = try_import_torch()
cl... | 3,523 | 36.489362 | 84 | py |
ray | ray-master/rllib/core/models/tests/test_cnn_transpose_heads.py | import itertools
import unittest
from ray.rllib.core.models.configs import CNNTransposeHeadConfig
from ray.rllib.utils.framework import try_import_tf, try_import_torch
from ray.rllib.utils.test_utils import framework_iterator, ModelChecker
_, tf, _ = try_import_tf()
torch, _ = try_import_torch()
class TestCNNTransp... | 4,127 | 36.87156 | 87 | py |
ray | ray-master/rllib/core/models/tests/test_base_models.py | import unittest
from dataclasses import dataclass
import gymnasium as gym
from ray.rllib.core.models.configs import ModelConfig
from ray.rllib.core.models.specs.checker import SpecCheckingError
from ray.rllib.core.models.specs.specs_base import TensorSpec
from ray.rllib.core.models.specs.specs_dict import SpecDict
fr... | 12,182 | 37.67619 | 88 | py |
ray | ray-master/rllib/core/models/tests/test_catalog.py | from collections import namedtuple
import functools
import itertools
import unittest
import gymnasium as gym
from gymnasium.spaces import Box, Discrete, Dict, Tuple, MultiDiscrete
import numpy as np
import tree
from ray.rllib.algorithms.ppo.ppo import PPOConfig
from ray.rllib.algorithms.ppo.ppo_catalog import PPOCata... | 18,588 | 37.64657 | 87 | py |
ray | ray-master/rllib/core/models/specs/specs_dict.py | from typing import Union, Mapping, Any
from ray.rllib.utils.annotations import ExperimentalAPI, override
from ray.rllib.utils.nested_dict import NestedDict
from ray.rllib.core.models.specs.specs_base import Spec
_MISSING_KEYS_FROM_SPEC = (
"The data dict does not match the model specs. Keys {} are "
"in the ... | 5,380 | 34.401316 | 88 | py |
ray | ray-master/rllib/core/models/specs/checker.py | import functools
import logging
from collections import abc
from typing import Union, Mapping, Any, Callable
from ray.rllib.core.models.specs.specs_base import Spec, TypeSpec
from ray.rllib.core.models.specs.specs_dict import SpecDict
from ray.rllib.core.models.specs.typing import SpecType
from ray.rllib.utils.nested_... | 15,574 | 38.133166 | 88 | py |
ray | ray-master/rllib/core/models/specs/specs_base.py | import abc
from copy import deepcopy
import numpy as np
from typing import Any, Optional, Dict, List, Tuple, Union, Type
from ray.rllib.utils import try_import_jax, try_import_tf, try_import_torch
from ray.rllib.utils.annotations import OverrideToImplementCustomLogic
from ray.rllib.utils.annotations import DeveloperAP... | 12,482 | 34.974063 | 88 | py |
ray | ray-master/rllib/core/models/specs/tests/test_tensor_spec.py | import itertools
import unittest
import numpy as np
from ray.rllib.utils import try_import_jax, try_import_tf, try_import_torch
from ray.rllib.utils.test_utils import check
from ray.rllib.core.models.specs.specs_base import TensorSpec
_, tf, _ = try_import_tf()
torch, _ = try_import_torch()
jax, _ = try_import_jax()
... | 7,473 | 32.819005 | 87 | py |
ray | ray-master/rllib/core/models/specs/tests/test_check_specs.py | import abc
import time
import unittest
from typing import Dict, Any, Type
import numpy as np
import torch
from ray.rllib.core.models.specs.checker import SpecCheckingError
from ray.rllib.core.models.specs.checker import (
convert_to_canonical_format,
check_input_specs,
check_output_specs,
)
from ray.rllib... | 12,138 | 33.782235 | 87 | py |
ray | ray-master/rllib/core/models/tf/base.py | import abc
import logging
from typing import Tuple
import numpy as np
from ray.rllib.core.models.base import Model
from ray.rllib.core.models.configs import ModelConfig
from ray.rllib.core.models.specs.checker import (
check_input_specs,
is_input_decorated,
is_output_decorated,
check_output_specs,
)
f... | 3,463 | 36.247312 | 85 | py |
ray | ray-master/rllib/core/models/tf/encoder.py | from typing import Optional
import tree # pip install dm_tree
from ray.rllib.core.models.base import (
Encoder,
ActorCriticEncoder,
StatefulActorCriticEncoder,
STATE_IN,
STATE_OUT,
ENCODER_OUT,
tokenize,
)
from ray.rllib.core.models.base import Model
from ray.rllib.core.models.configs imp... | 13,761 | 32.980247 | 85 | py |
ray | ray-master/rllib/core/models/tf/heads.py | import functools
from typing import Optional
import numpy as np
from ray.rllib.core.models.base import Model
from ray.rllib.core.models.configs import (
CNNTransposeHeadConfig,
FreeLogStdMLPHeadConfig,
MLPHeadConfig,
)
from ray.rllib.core.models.specs.checker import SpecCheckingError
from ray.rllib.core.m... | 9,095 | 39.972973 | 88 | py |
ray | ray-master/rllib/core/models/tf/primitives.py | from typing import Callable, List, Optional, Tuple, Union
from ray.rllib.models.utils import get_activation_fn
from ray.rllib.utils.framework import try_import_tf
_, tf, _ = try_import_tf()
class TfMLP(tf.keras.Model):
"""A multi-layer perceptron with N dense layers.
All layers (except for an optional addi... | 12,691 | 43.069444 | 88 | py |
ray | ray-master/rllib/core/rl_module/rl_module.py | import abc
import datetime
import json
import pathlib
from dataclasses import dataclass
from typing import Mapping, Any, TYPE_CHECKING, Optional, Type, Dict, Union
import gymnasium as gym
import tree
if TYPE_CHECKING:
from ray.rllib.core.rl_module.marl_module import (
MultiAgentRLModule,
MultiAgen... | 30,539 | 38.457364 | 88 | py |
ray | ray-master/rllib/core/rl_module/torch/torch_compile_config.py | import sys
from dataclasses import dataclass, field
@dataclass
class TorchCompileConfig:
"""Configuration options for RLlib's usage of torch.compile in RLModules.
# On `torch.compile` in Torch RLModules
`torch.compile` invokes torch's dynamo JIT compiler that can potentially bring
speedups to RL Modu... | 1,601 | 39.05 | 83 | py |
ray | ray-master/rllib/core/rl_module/torch/torch_rl_module.py | import pathlib
from typing import Any, List, Mapping, Tuple, Union, Type
from packaging import version
from ray.rllib.core.rl_module import RLModule
from ray.rllib.core.rl_module.rl_module_with_target_networks_interface import (
RLModuleWithTargetNetworksInterface,
)
from ray.rllib.core.rl_module.torch.torch_comp... | 7,090 | 35.364103 | 88 | py |
ray | ray-master/rllib/core/rl_module/torch/__init__.py | from .torch_rl_module import TorchRLModule
__all__ = ["TorchRLModule"]
| 72 | 17.25 | 42 | py |
ray | ray-master/rllib/core/rl_module/torch/tests/test_torch_rl_module.py | import tempfile
import unittest
from typing import Mapping
import gc
import gymnasium as gym
import torch
from ray.rllib.utils.torch_utils import _dynamo_is_available
from ray.rllib.core.rl_module.rl_module import RLModuleConfig
from ray.rllib.core.rl_module.torch import TorchRLModule
from ray.rllib.core.rl_module.to... | 5,873 | 31.453039 | 87 | py |
ray | ray-master/rllib/core/rl_module/tests/test_rl_module_specs.py | import unittest
import gymnasium as gym
import torch
from ray.rllib.core.rl_module.rl_module import SingleAgentRLModuleSpec
from ray.rllib.core.rl_module.marl_module import (
MultiAgentRLModule,
MultiAgentRLModuleSpec,
)
from ray.rllib.core.testing.torch.bc_module import (
DiscreteBCTorchModule,
BCTorc... | 11,220 | 39.509025 | 86 | py |
ray | ray-master/rllib/core/rl_module/tests/test_marl_module.py | import tempfile
import unittest
from ray.rllib.core.rl_module.rl_module import SingleAgentRLModuleSpec, RLModuleConfig
from ray.rllib.core.rl_module.marl_module import (
MultiAgentRLModule,
MultiAgentRLModuleConfig,
)
from ray.rllib.core.testing.torch.bc_module import DiscreteBCTorchModule
from ray.rllib.core.... | 8,386 | 34.995708 | 86 | py |
ray | ray-master/rllib/core/rl_module/tf/tf_rl_module.py | import pathlib
from typing import Any, Mapping, Union
from ray.rllib.core.rl_module import RLModule
from ray.rllib.utils.annotations import override
from ray.rllib.utils.framework import try_import_tf
_, tf, _ = try_import_tf()
class TfRLModule(tf.keras.Model, RLModule):
"""Base class for RLlib TensorFlow RLMod... | 2,600 | 33.68 | 88 | py |
ray | ray-master/rllib/core/learner/learner.py | import abc
import json
import logging
import pathlib
from collections import defaultdict
from enum import Enum
from dataclasses import dataclass, field
from typing import (
Any,
Callable,
DefaultDict,
Dict,
List,
Hashable,
Mapping,
Optional,
Sequence,
Set,
Tuple,
Type,
... | 66,289 | 39.768758 | 88 | py |
ray | ray-master/rllib/core/learner/learner_group_config.py | from typing import Optional, Type, TYPE_CHECKING, Union
from ray.rllib.core.learner.learner import (
LearnerSpec,
LearnerHyperparameters,
FrameworkHyperparameters,
)
from ray.rllib.core.learner.learner_group import LearnerGroup
from ray.rllib.core.learner.scaling_config import LearnerGroupScalingConfig
fro... | 6,419 | 36.988166 | 88 | py |
ray | ray-master/rllib/core/learner/learner_group.py | from collections import defaultdict, deque
from functools import partial
import pathlib
from typing import (
Any,
Callable,
List,
Mapping,
Optional,
Set,
Type,
TYPE_CHECKING,
Union,
)
import uuid
import ray
from ray.rllib.core.learner.reduce_result_dict_fn import _reduce_mean_result... | 34,578 | 40.165476 | 88 | py |
ray | ray-master/rllib/core/learner/torch/torch_learner.py | import logging
import pathlib
from typing import (
Any,
Callable,
Hashable,
Mapping,
Optional,
Sequence,
Union,
Tuple,
)
from ray.rllib.core.learner.learner import (
FrameworkHyperparameters,
Learner,
LearnerHyperparameters,
TorchCompileWhatToCompile,
)
from ray.rllib.co... | 18,225 | 38.535792 | 87 | py |
ray | ray-master/rllib/core/learner/torch/tests/test_torch_learner_compile.py | import itertools
import unittest
import gymnasium as gym
import ray
from ray.rllib.core.learner.learner import (
FrameworkHyperparameters,
TorchCompileWhatToCompile,
)
from ray.rllib.utils.torch_utils import _dynamo_is_available
from ray.rllib.core.rl_module.torch.torch_compile_config import TorchCompileConfi... | 4,610 | 33.410448 | 87 | py |
ray | ray-master/rllib/core/learner/tests/test_learner.py | import gymnasium as gym
import numpy as np
import tempfile
import unittest
import ray
from ray.rllib.core.learner.learner import Learner
from ray.rllib.core.testing.testing_learner import BaseTestingLearnerHyperparameters
from ray.rllib.core.testing.utils import get_learner, get_module_spec
from ray.rllib.core.learner... | 12,974 | 38.081325 | 87 | py |
ray | ray-master/rllib/core/learner/tests/test_learner_group.py | import gymnasium as gym
import itertools
import numpy as np
from typing import Any, Dict, List
import tempfile
import unittest
import ray
from ray.rllib.algorithms.ppo.tests.test_ppo_learner import FAKE_BATCH
from ray.rllib.core.learner.learner import FrameworkHyperparameters
from ray.rllib.policy.sample_batch import ... | 23,255 | 42.79661 | 88 | py |
ray | ray-master/rllib/core/learner/tf/tf_learner.py | import json
import logging
import pathlib
from typing import (
Any,
Callable,
Hashable,
Mapping,
Optional,
Sequence,
Tuple,
Union,
)
from ray.rllib.core.learner.learner import (
FrameworkHyperparameters,
Learner,
LearnerHyperparameters,
)
from ray.rllib.core.rl_module.rl_mod... | 18,424 | 37.465553 | 92 | py |
ray | ray-master/rllib/benchmarks/torch_compile/run_ppo_with_inference_bm.py | import argparse
from ray import tune, air
from ray.rllib.algorithms.ppo import PPOConfig
# Note:
# To run this benchmark you need to have a ray cluster of at least
# 129 CPUs (2x64 + 1) and 2 GPUs
# For smoke test, you can use 3 CPUs
def _parse_args():
parser = argparse.ArgumentParser()
parser.add_argument(... | 2,683 | 29.157303 | 88 | py |
ray | ray-master/rllib/benchmarks/torch_compile/utils.py | from typing import Union
import numpy as np
import gymnasium as gym
import time
import torch
from ray.rllib.policy.sample_batch import SampleBatch
def get_ppo_batch_for_env(env: Union[str, gym.Env], batch_size):
"""Create a dummy sample batch for the given environment.
Args:
env: The environment t... | 2,398 | 28.617284 | 80 | py |
ray | ray-master/rllib/benchmarks/torch_compile/run_inference_bm.py | import argparse
import matplotlib.pyplot as plt
import gymnasium as gym
from pathlib import Path
import numpy as np
import json
import tqdm
import torch
from ray.rllib.algorithms.ppo.torch.ppo_torch_rl_module import PPOTorchRLModule
from ray.rllib.algorithms.ppo.ppo_catalog import PPOCatalog
from ray.rllib.benchmar... | 5,788 | 32.270115 | 86 | py |
ray | ray-master/rllib/examples/custom_torch_policy.py | import argparse
import os
import ray
from ray import air, tune
from ray.rllib.algorithms.algorithm import Algorithm
from ray.rllib.policy.policy_template import build_policy_class
from ray.rllib.policy.sample_batch import SampleBatch
parser = argparse.ArgumentParser()
parser.add_argument("--stop-iters", type=int, def... | 1,602 | 29.826923 | 78 | py |
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