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/examples/connectors/self_play_with_policy_checkpoint.py | """Example showing how one can restore a connector enabled TF policy
checkpoint for a new self-play PyTorch training job.
The checkpointed policy may be trained with a different algorithm too.
"""
import argparse
from functools import partial
import os
import tempfile
import ray
from ray import air, tune
from ray.rll... | 4,682 | 30.857143 | 87 | py |
ray | ray-master/rllib/examples/connectors/prepare_checkpoint.py | import random
from ray.rllib.algorithms.appo import APPOConfig
from ray.rllib.algorithms.sac import SACConfig
def create_appo_cartpole_checkpoint(output_dir):
# enable_connectors defaults to True. Just trying to be explicit here.
config = APPOConfig().environment("CartPole-v1").rollouts(enable_connectors=Tru... | 1,474 | 32.522727 | 85 | py |
ray | ray-master/rllib/tuned_examples/create_plots.py | # TODO(sven):
# Add a simple script that takes n csv input files and generates plot(s)
# from these with: x-axis=ts OR wall-time; y-axis=any metric(s) (up to 2).
# ability to merge any m csv files (e.g. tf vs torch; or n seeds) together
# in one plot.
| 256 | 41.833333 | 75 | py |
ray | ray-master/rllib/tuned_examples/cleanup_experiment.py | """
This script automates cleaning up a benchmark/experiment run of some algo
against some config (with possibly more than one tune trial,
e.g. torch=grid_search([True, False])).
Run `python cleanup_experiment.py --help` for more information.
Use on an input directory with trial contents e.g.:
..
IMPALA_BreakoutNoFra... | 7,538 | 39.315508 | 86 | py |
ray | ray-master/rllib/tuned_examples/leela_chess_zero/custom_model.py | from ray.rllib.algorithms.alpha_zero.models.custom_torch_models import (
ActorCriticModel,
Flatten,
)
import torch.nn as nn
class DenseModel(ActorCriticModel):
def __init__(self, obs_space, action_space, num_outputs, model_config, name):
ActorCriticModel.__init__(
self, obs_space, acti... | 1,785 | 30.892857 | 85 | py |
ray | ray-master/rllib/offline/offline_evaluation_utils.py | import numpy as np
import pandas as pd
from typing import Any, Dict, Type, TYPE_CHECKING
from ray.rllib.policy.sample_batch import SampleBatch
from ray.rllib.policy import Policy
from ray.rllib.utils.numpy import convert_to_numpy
from ray.rllib.utils.annotations import DeveloperAPI
if TYPE_CHECKING:
from ray.rlli... | 4,743 | 34.939394 | 88 | py |
ray | ray-master/rllib/offline/estimators/doubly_robust.py | import logging
import numpy as np
import math
import pandas as pd
from typing import Dict, Any, Optional, List
from ray.data import Dataset
from ray.rllib.policy import Policy
from ray.rllib.policy.sample_batch import SampleBatch, convert_ma_batch_to_sample_batch
from ray.rllib.utils.annotations import DeveloperAPI,... | 9,620 | 36.877953 | 87 | py |
ray | ray-master/rllib/offline/estimators/direct_method.py | import logging
from typing import Dict, Any, Optional, List
import math
import numpy as np
from ray.data import Dataset
from ray.rllib.offline.estimators.off_policy_estimator import OffPolicyEstimator
from ray.rllib.offline.offline_evaluation_utils import compute_q_and_v_values
from ray.rllib.offline.offline_evaluato... | 6,746 | 36.276243 | 86 | py |
ray | ray-master/rllib/offline/estimators/fqe_torch_model.py | from typing import Dict, Any
from ray.rllib.models.utils import get_initializer
from ray.rllib.policy import Policy
from ray.rllib.models.catalog import ModelCatalog
from ray.rllib.models.torch.torch_modelv2 import TorchModelV2
from ray.rllib.policy.sample_batch import SampleBatch
from ray.rllib.utils.annotations impo... | 11,850 | 38.768456 | 87 | py |
ray | ray-master/rllib/offline/estimators/tests/test_ope_math.py | import unittest
import time
import gymnasium as gym
import torch
import numpy as np
from ray.rllib.offline.estimators import (
DirectMethod,
DoublyRobust,
ImportanceSampling,
WeightedImportanceSampling,
)
from ray.rllib.models.torch.torch_action_dist import TorchCategorical
from ray.rllib.policy.sample... | 7,416 | 32.40991 | 87 | py |
ray | ray-master/rllib/offline/estimators/tests/utils.py | from typing import Type, Union, Dict, Tuple
import numpy as np
from ray.rllib.algorithms import AlgorithmConfig
from ray.rllib.evaluation.worker_set import WorkerSet
from ray.rllib.examples.env.cliff_walking_wall_env import CliffWalkingWallEnv
from ray.rllib.examples.policy.cliff_walking_wall_policy import CliffWalkin... | 4,613 | 33.954545 | 86 | py |
ray | ray-master/rllib/offline/estimators/tests/test_ope.py | from typing import TYPE_CHECKING, Tuple
import copy
import gymnasium as gym
import numpy as np
import os
import shutil
import tempfile
import pandas as pd
from pathlib import Path
import unittest
import ray
from ray.data import read_json
from ray.rllib.algorithms.algorithm import Algorithm
from ray.rllib.algorithms.d... | 15,033 | 34.126168 | 88 | py |
ray | ray-master/rllib/offline/tests/test_feature_importance.py | import unittest
import ray
from ray.rllib.algorithms.crr import CRRConfig
from ray.rllib.execution import synchronous_parallel_sample
from ray.rllib.offline.feature_importance import FeatureImportance
class TestFeatureImportance(unittest.TestCase):
def setUp(self):
ray.init()
def tearDown(self):
... | 1,125 | 27.15 | 77 | py |
ray | ray-master/rllib/models/base_model.py | # Copyright 2021 DeepMind Technologies Limited.
#
# 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
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | 11,341 | 32.067055 | 88 | py |
ray | ray-master/rllib/models/utils.py | from typing import Callable, Optional, Union
from ray.rllib.core.models.specs.specs_base import TensorSpec
from ray.rllib.core.models.specs.specs_dict import SpecDict
from ray.rllib.utils.annotations import DeveloperAPI
from ray.rllib.utils.deprecation import Deprecated
from ray.rllib.utils.framework import try_import... | 9,887 | 33.214533 | 87 | py |
ray | ray-master/rllib/models/catalog.py | from functools import partial
import gymnasium as gym
from gymnasium.spaces import Box, Dict, Discrete, MultiDiscrete, Tuple
import logging
import numpy as np
import tree # pip install dm_tree
from typing import List, Optional, Type, Union
from ray.tune.registry import (
RLLIB_MODEL,
RLLIB_ACTION_DIST,
_g... | 41,108 | 40.315578 | 88 | py |
ray | ray-master/rllib/models/modelv2.py | from collections import OrderedDict
import contextlib
import gymnasium as gym
from gymnasium.spaces import Space
import numpy as np
from typing import Dict, List, Any, Union
from ray.rllib.models.preprocessors import get_preprocessor, RepeatedValuesPreprocessor
from ray.rllib.models.repeated_values import RepeatedValu... | 19,503 | 37.243137 | 88 | py |
ray | ray-master/rllib/models/torch/torch_distributions.py | """The main difference between this and the old ActionDistribution is that this one
has more explicit input args. So that the input format does not have to be guessed from
the code. This matches the design pattern of torch distribution which developers may
already be familiar with.
"""
import gymnasium as gym
import nu... | 19,460 | 34.001799 | 88 | py |
ray | ray-master/rllib/models/torch/attention_net.py | """
[1] - Attention Is All You Need - Vaswani, Jones, Shazeer, Parmar,
Uszkoreit, Gomez, Kaiser - Google Brain/Research, U Toronto - 2017.
https://arxiv.org/pdf/1706.03762.pdf
[2] - Stabilizing Transformers for Reinforcement Learning - E. Parisotto
et al. - DeepMind - 2019. https://arxiv.org/pdf/1910.... | 18,411 | 38.939262 | 88 | py |
ray | ray-master/rllib/models/torch/misc.py | """ Code adapted from https://github.com/ikostrikov/pytorch-a3c"""
import numpy as np
from typing import Union, Tuple, Any, List
from ray.rllib.models.utils import get_activation_fn
from ray.rllib.utils.annotations import DeveloperAPI
from ray.rllib.utils.framework import try_import_torch
from ray.rllib.utils.typing i... | 11,631 | 34.901235 | 88 | py |
ray | ray-master/rllib/models/torch/noop.py | from ray.rllib.models.modelv2 import ModelV2
from ray.rllib.models.torch.torch_modelv2 import TorchModelV2
from ray.rllib.utils.annotations import override
from ray.rllib.utils.deprecation import Deprecated
@Deprecated(error=False)
class TorchNoopModel(TorchModelV2):
"""Trivial model that just returns the obs fla... | 521 | 31.625 | 62 | py |
ray | ray-master/rllib/models/torch/model.py | import torch
from torch import nn
import tree
from ray.rllib.utils.annotations import (
DeveloperAPI,
override,
)
from ray.rllib.models.temp_spec_classes import TensorDict, ModelConfig
from ray.rllib.models.base_model import RecurrentModel, Model, ModelIO
from ray.rllib.utils.deprecation import Deprecated
@D... | 7,686 | 33.164444 | 88 | py |
ray | ray-master/rllib/models/torch/mingpt.py | # LICENSE: MIT
"""
Adapted from https://github.com/karpathy/minGPT
Full definition of a GPT Language Model, all of it in this single file.
References:
1) the official GPT-2 TensorFlow implementation released by OpenAI:
https://github.com/openai/gpt-2/blob/master/src/model.py
2) huggingface/transformers PyTorch impleme... | 11,163 | 35.723684 | 88 | py |
ray | ray-master/rllib/models/torch/primitives.py | from typing import List, Optional
from ray.rllib.utils.framework import try_import_torch
from ray.rllib.utils.deprecation import deprecation_warning
from ray.util import log_once
torch, nn = try_import_torch()
# TODO (Kourosh): Find a better hierarchy for the primitives after the POC is done.
class FCNet(nn.Module)... | 2,054 | 32.688525 | 85 | py |
ray | ray-master/rllib/models/torch/complex_input_net.py | from gymnasium.spaces import Box, Discrete, MultiDiscrete
import numpy as np
import tree # pip install dm_tree
# TODO (sven): add IMPALA-style option.
# from ray.rllib.examples.models.impala_vision_nets import TorchImpalaVisionNet
from ray.rllib.models.torch.misc import (
normc_initializer as torch_normc_initiali... | 9,665 | 38.453061 | 88 | py |
ray | ray-master/rllib/models/torch/__init__.py | # from ray.rllib.models.torch.torch_modelv2 import TorchModelV2
# from ray.rllib.models.torch.fcnet import FullyConnectedNetwork
# from ray.rllib.models.torch.recurrent_net import \
# RecurrentNetwork
# from ray.rllib.models.torch.visionnet import VisionNetwork
# __all__ = [
# "FullyConnectedNetwork",
# "R... | 387 | 28.846154 | 64 | py |
ray | ray-master/rllib/models/torch/fcnet.py | import logging
import numpy as np
import gymnasium as gym
from ray.rllib.models.torch.torch_modelv2 import TorchModelV2
from ray.rllib.models.torch.misc import SlimFC, AppendBiasLayer, normc_initializer
from ray.rllib.utils.annotations import override
from ray.rllib.utils.framework import try_import_torch
from ray.rll... | 6,208 | 35.958333 | 87 | py |
ray | ray-master/rllib/models/torch/torch_action_dist.py | import functools
import gymnasium as gym
from math import log
import numpy as np
import tree # pip install dm_tree
from typing import Optional
from ray.rllib.models.action_dist import ActionDistribution
from ray.rllib.models.torch.torch_modelv2 import TorchModelV2
from ray.rllib.utils.annotations import override, Dev... | 27,367 | 37.492264 | 88 | py |
ray | ray-master/rllib/models/torch/recurrent_net.py | import numpy as np
import gymnasium as gym
from gymnasium.spaces import Discrete, MultiDiscrete
import tree # pip install dm_tree
from typing import Dict, List, Union, Tuple
from ray.rllib.models.modelv2 import ModelV2
from ray.rllib.models.torch.misc import SlimFC
from ray.rllib.models.torch.torch_modelv2 import Tor... | 12,365 | 40.35786 | 88 | py |
ray | ray-master/rllib/models/torch/visionnet.py | import numpy as np
from typing import Dict, List
import gymnasium as gym
from ray.rllib.models.torch.torch_modelv2 import TorchModelV2
from ray.rllib.models.torch.misc import (
normc_initializer,
same_padding,
SlimConv2d,
SlimFC,
)
from ray.rllib.models.utils import get_activation_fn, get_filter_config... | 11,006 | 35.936242 | 88 | py |
ray | ray-master/rllib/models/torch/torch_modelv2.py | import gymnasium as gym
from typing import Dict, List, Union
from ray.rllib.models.modelv2 import ModelV2
from ray.rllib.utils.annotations import override, PublicAPI
from ray.rllib.utils.framework import try_import_torch
from ray.rllib.utils.typing import ModelConfigDict, TensorType
from ray.rllib.utils.deprecation im... | 3,032 | 33.465909 | 88 | py |
ray | ray-master/rllib/models/torch/modules/convtranspose2d_stack.py | from typing import Tuple
from ray.rllib.models.torch.misc import Reshape
from ray.rllib.models.utils import get_activation_fn, get_initializer
from ray.rllib.utils.framework import try_import_torch
torch, nn = try_import_torch()
if torch:
import torch.distributions as td
class ConvTranspose2DStack(nn.Module):
... | 3,113 | 36.518072 | 87 | py |
ray | ray-master/rllib/models/torch/modules/skip_connection.py | from ray.rllib.utils.framework import try_import_torch
from ray.rllib.utils.typing import TensorType
from typing import Optional
torch, nn = try_import_torch()
class SkipConnection(nn.Module):
"""Skip connection layer.
Adds the original input to the output (regular residual layer) OR uses
input as hidde... | 1,389 | 32.095238 | 82 | py |
ray | ray-master/rllib/models/torch/modules/relative_multi_head_attention.py | from typing import Union
from ray.rllib.utils.framework import try_import_torch
from ray.rllib.models.torch.misc import SlimFC
from ray.rllib.utils.torch_utils import sequence_mask
from ray.rllib.utils.typing import TensorType
torch, nn = try_import_torch()
class RelativePositionEmbedding(nn.Module):
"""Creates... | 6,271 | 34.636364 | 87 | py |
ray | ray-master/rllib/models/torch/modules/multi_head_attention.py | """
[1] - Attention Is All You Need - Vaswani, Jones, Shazeer, Parmar,
Uszkoreit, Gomez, Kaiser - Google Brain/Research, U Toronto - 2017.
https://arxiv.org/pdf/1706.03762.pdf
"""
from ray.rllib.utils.framework import try_import_torch
from ray.rllib.models.torch.misc import SlimFC
from ray.rllib.utils.torch... | 2,439 | 34.362319 | 80 | py |
ray | ray-master/rllib/models/torch/modules/noisy_layer.py | import numpy as np
from ray.rllib.models.utils import get_activation_fn
from ray.rllib.utils.framework import try_import_torch, TensorType
torch, nn = try_import_torch()
class NoisyLayer(nn.Module):
r"""A Layer that adds learnable Noise to some previous layer's outputs.
Consists of:
- a common dense la... | 3,406 | 33.07 | 86 | py |
ray | ray-master/rllib/models/torch/modules/__init__.py | from ray.rllib.models.torch.modules.gru_gate import GRUGate
from ray.rllib.models.torch.modules.multi_head_attention import MultiHeadAttention
from ray.rllib.models.torch.modules.relative_multi_head_attention import (
RelativeMultiHeadAttention,
)
from ray.rllib.models.torch.modules.skip_connection import SkipConne... | 438 | 30.357143 | 82 | py |
ray | ray-master/rllib/models/torch/modules/gru_gate.py | from ray.rllib.utils.framework import try_import_torch
from ray.rllib.utils.framework import TensorType
torch, nn = try_import_torch()
class GRUGate(nn.Module):
"""Implements a gated recurrent unit for use in AttentionNet"""
def __init__(self, dim: int, init_bias: int = 0.0, **kwargs):
"""
i... | 2,272 | 33.439394 | 73 | py |
ray | ray-master/rllib/models/tests/test_preprocessors.py | import gymnasium as gym
from gymnasium.spaces import Box, Dict, Discrete, MultiDiscrete, Tuple, MultiBinary
import numpy as np
import unittest
import ray
import ray.rllib.algorithms.ppo as ppo
from ray.rllib.models.catalog import ModelCatalog
from ray.rllib.models.preprocessors import (
DictFlatteningPreprocessor,... | 9,935 | 33.380623 | 87 | py |
ray | ray-master/rllib/models/tests/test_torch_model.py | import unittest
import os
import tempfile
import torch
from torch import nn
from ray.rllib.utils.test_utils import check
from ray.rllib.utils.annotations import override
from ray.rllib.models.temp_spec_classes import TensorDict, SpecDict, ModelConfig
from ray.rllib.models.torch.model import TorchRecurrentModel, TorchM... | 4,477 | 31.215827 | 88 | py |
ray | ray-master/rllib/models/tests/test_conv2d_default_stacks.py | import gymnasium as gym
import unittest
from ray.rllib.models.catalog import ModelCatalog, MODEL_DEFAULTS
from ray.rllib.models.tf.visionnet import VisionNetwork
from ray.rllib.models.torch.visionnet import VisionNetwork as TorchVision
from ray.rllib.utils.framework import try_import_torch, try_import_tf
from ray.rlli... | 1,791 | 32.811321 | 83 | py |
ray | ray-master/rllib/models/tests/test_models.py | from gymnasium.spaces import Box
import numpy as np
import unittest
import ray
import ray.rllib.algorithms.ppo as ppo
from ray.rllib.examples.models.modelv3 import RNNModel
from ray.rllib.models.tf.tf_modelv2 import TFModelV2
from ray.rllib.models.tf.fcnet import FullyConnectedNetwork
from ray.rllib.utils.framework im... | 3,073 | 33.155556 | 82 | py |
ray | ray-master/rllib/models/tests/test_distributions.py | from copy import copy
import numpy as np
import unittest
import math
from ray.rllib.models.torch.torch_distributions import (
TorchCategorical,
TorchDiagGaussian,
TorchDeterministic,
)
from ray.rllib.utils.framework import try_import_torch
from ray.rllib.utils.numpy import (
softmax,
SMALL_NUMBER,
... | 7,846 | 32.391489 | 86 | py |
ray | ray-master/rllib/models/tests/test_action_distributions.py | from functools import partial
from gymnasium.spaces import Box, Dict, Tuple
import numpy as np
from scipy.stats import beta, norm
import tree # pip install dm_tree
import unittest
from ray.rllib.models.jax.jax_action_dist import JAXCategorical
from ray.rllib.models.tf.tf_action_dist import (
Beta,
Categorical... | 27,335 | 37.501408 | 88 | py |
ray | ray-master/rllib/models/tests/test_convtranspose2d_stack.py | import gymnasium as gym
import numpy as np
import os
from pathlib import Path
import unittest
from ray.rllib.models.preprocessors import GenericPixelPreprocessor
from ray.rllib.models.torch.modules.convtranspose2d_stack import ConvTranspose2DStack
from ray.rllib.utils.framework import try_import_torch, try_import_tf
f... | 2,173 | 32.96875 | 85 | py |
ray | ray-master/rllib/models/jax/jax_modelv2.py | import gymnasium as gym
from ray.rllib.models.modelv2 import ModelV2
from ray.rllib.utils.annotations import PublicAPI
from ray.rllib.utils.typing import ModelConfigDict
from ray.rllib.utils.deprecation import deprecation_warning
from ray.util import log_once
@PublicAPI
class JAXModelV2(ModelV2):
"""JAX version ... | 1,038 | 26.342105 | 87 | py |
ray | ray-master/rllib/models/jax/misc.py | import time
from typing import Callable, Optional
from ray.rllib.models.utils import get_activation_fn
from ray.rllib.utils.deprecation import deprecation_warning
from ray.rllib.utils.framework import try_import_jax
from ray.util import log_once
jax, flax = try_import_jax()
nn = np = None
if flax:
import flax.lin... | 2,516 | 33.958333 | 81 | py |
ray | ray-master/rllib/models/jax/fcnet.py | import logging
import numpy as np
import time
from ray.rllib.models.jax.jax_modelv2 import JAXModelV2
from ray.rllib.models.jax.misc import SlimFC
from ray.rllib.utils.annotations import override
from ray.rllib.utils.deprecation import deprecation_warning
from ray.rllib.utils.framework import try_import_jax
from ray.u... | 5,033 | 36.567164 | 88 | py |
ray | ray-master/rllib/models/jax/jax_action_dist.py | import time
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 deprecation_warning
from ray.rllib.utils.framework import try_import_jax, try_import_tfp
from ray.rllib.utils.typ... | 2,701 | 34.090909 | 80 | py |
ray | ray-master/rllib/models/tf/attention_net.py | """
[1] - Attention Is All You Need - Vaswani, Jones, Shazeer, Parmar,
Uszkoreit, Gomez, Kaiser - Google Brain/Research, U Toronto - 2017.
https://arxiv.org/pdf/1706.03762.pdf
[2] - Stabilizing Transformers for Reinforcement Learning - E. Parisotto
et al. - DeepMind - 2019. https://arxiv.org/pdf/1910.... | 23,209 | 39.295139 | 88 | py |
ray | ray-master/rllib/models/tf/primitives.py | from typing import List
from ray.rllib.utils.annotations import override
from ray.rllib.utils.framework import try_import_tf
from ray.rllib.utils.deprecation import Deprecated
_, tf, _ = try_import_tf()
# TODO (Kourosh): Find a better hierarchy for the primitives after the POC is done.
@Deprecated(error=False)
clas... | 2,013 | 33.135593 | 83 | py |
ray | ray-master/rllib/models/tf/complex_input_net.py | from gymnasium.spaces import Box, Discrete, MultiDiscrete
import numpy as np
import tree # pip install dm_tree
from ray.rllib.models.catalog import ModelCatalog
from ray.rllib.models.modelv2 import ModelV2, restore_original_dimensions
from ray.rllib.models.tf.misc import normc_initializer
from ray.rllib.models.tf.tf_... | 8,557 | 38.256881 | 85 | py |
ray | ray-master/rllib/models/tf/tf_distributions.py | """The main difference between this and the old ActionDistribution is that this one
has more explicit input args. So that the input format does not have to be guessed from
the code. This matches the design pattern of torch distribution which developers may
already be familiar with.
"""
import gymnasium as gym
import tr... | 19,590 | 34.046512 | 88 | py |
ray | ray-master/rllib/models/tf/tf_modelv2.py | import contextlib
import gymnasium as gym
import re
from typing import Dict, List, Union
from ray.util import log_once
from ray.rllib.models.modelv2 import ModelV2
from ray.rllib.utils.annotations import override, PublicAPI
from ray.rllib.utils.deprecation import deprecation_warning
from ray.rllib.utils.framework impo... | 5,337 | 35.067568 | 86 | py |
ray | ray-master/rllib/models/tf/fcnet.py | import numpy as np
import gymnasium as gym
from typing import Dict
from ray.rllib.models.tf.misc import normc_initializer
from ray.rllib.models.tf.tf_modelv2 import TFModelV2
from ray.rllib.models.utils import get_activation_fn
from ray.rllib.utils.framework import try_import_tf
from ray.rllib.utils.typing import Tens... | 5,918 | 36.942308 | 88 | py |
ray | ray-master/rllib/models/tf/recurrent_net.py | import numpy as np
import gymnasium as gym
from gymnasium.spaces import Discrete, MultiDiscrete
import logging
import tree # pip install dm_tree
from typing import Dict, List, Tuple
from ray.rllib.models.modelv2 import ModelV2
from ray.rllib.models.tf.tf_modelv2 import TFModelV2
from ray.rllib.policy.rnn_sequencing i... | 11,706 | 38.684746 | 88 | py |
ray | ray-master/rllib/models/tf/visionnet.py | import gymnasium as gym
from typing import Dict, List
from ray.rllib.utils.annotations import DeveloperAPI
from ray.rllib.models.tf.tf_modelv2 import TFModelV2
from ray.rllib.models.tf.misc import normc_initializer
from ray.rllib.models.utils import get_activation_fn, get_filter_config
from ray.rllib.utils.framework i... | 11,040 | 39.443223 | 85 | py |
ray | ray-master/rllib/models/tf/layers/skip_connection.py | from typing import Optional, Any
from ray.rllib.utils.framework import try_import_tf
from ray.rllib.utils.typing import TensorType
from ray.rllib.utils.deprecation import deprecation_warning
from ray.util import log_once
tf1, tf, tfv = try_import_tf()
class SkipConnection(tf.keras.layers.Layer if tf else object):
... | 1,657 | 34.276596 | 81 | py |
ray | ray-master/rllib/models/tf/layers/relative_multi_head_attention.py | from typing import Optional
from ray.rllib.utils.framework import try_import_tf
from ray.rllib.utils.typing import TensorType
from ray.rllib.utils.deprecation import deprecation_warning
from ray.util import log_once
tf1, tf, tfv = try_import_tf()
class RelativeMultiHeadAttention(tf.keras.layers.Layer if tf else obj... | 5,761 | 37.932432 | 88 | py |
ray | ray-master/rllib/models/tf/layers/multi_head_attention.py | """
[1] - Attention Is All You Need - Vaswani, Jones, Shazeer, Parmar,
Uszkoreit, Gomez, Kaiser - Google Brain/Research, U Toronto - 2017.
https://arxiv.org/pdf/1706.03762.pdf
"""
from ray.rllib.utils.framework import try_import_tf
from ray.rllib.utils.typing import TensorType
from ray.rllib.utils.deprecati... | 2,261 | 35.483871 | 78 | py |
ray | ray-master/rllib/models/tf/layers/noisy_layer.py | import numpy as np
from ray.rllib.models.utils import get_activation_fn
from ray.rllib.utils.framework import (
get_variable,
try_import_tf,
TensorType,
TensorShape,
)
from ray.rllib.utils.deprecation import deprecation_warning
from ray.util import log_once
tf1, tf, tfv = try_import_tf()
class Noisy... | 3,965 | 32.327731 | 88 | py |
ray | ray-master/rllib/models/tf/layers/gru_gate.py | from ray.rllib.utils.framework import try_import_tf
from ray.rllib.utils.typing import TensorType, TensorShape
from ray.rllib.utils.deprecation import deprecation_warning
from ray.util import log_once
tf1, tf, tfv = try_import_tf()
class GRUGate(tf.keras.layers.Layer if tf else object):
def __init__(self, init_b... | 1,972 | 32.440678 | 83 | py |
ray | ray-master/rllib/algorithms/callbacks.py | import gc
import os
import platform
import tracemalloc
from typing import TYPE_CHECKING, Dict, List, Optional, Tuple, Type, Union
import numpy as np
from ray.rllib.env.base_env import BaseEnv
from ray.rllib.env.env_context import EnvContext
from ray.rllib.evaluation.episode import Episode
from ray.rllib.evaluation.ep... | 26,460 | 34.709852 | 88 | py |
ray | ray-master/rllib/algorithms/registry.py | """Registry of algorithm names for `rllib train --run=<alg_name>`"""
import importlib
import re
import traceback
from typing import Tuple, Type, TYPE_CHECKING, Union
from ray.rllib.utils.deprecation import Deprecated
if TYPE_CHECKING:
from ray.rllib.algorithms.algorithm import Algorithm
from ray.rllib.algori... | 12,434 | 26.210066 | 88 | py |
ray | ray-master/rllib/algorithms/algorithm_config.py | import copy
import logging
import math
import os
import sys
from typing import (
TYPE_CHECKING,
Any,
Callable,
Container,
Dict,
Mapping,
Optional,
Tuple,
Type,
Union,
)
from packaging import version
import ray
from ray.rllib.algorithms.callbacks import DefaultCallbacks
from ray... | 182,058 | 48.459114 | 103 | py |
ray | ray-master/rllib/algorithms/es/es_torch_policy.py | # Code in this file is adapted from:
# https://github.com/openai/evolution-strategies-starter.
import gymnasium as gym
import numpy as np
import tree # pip install dm_tree
import ray
from ray.rllib.models import ModelCatalog
from ray.rllib.policy.policy_template import build_policy_class
from ray.rllib.policy.sample... | 4,946 | 36.195489 | 84 | py |
ray | ray-master/rllib/algorithms/es/es.py | # Code in this file is copied and adapted from
# https://github.com/openai/evolution-strategies-starter.
from collections import namedtuple
import logging
import numpy as np
import random
import time
from typing import Dict, List, Optional
import ray
from ray.rllib.algorithms import Algorithm
from ray.rllib.algorithm... | 23,237 | 35.944356 | 88 | py |
ray | ray-master/rllib/algorithms/es/__init__.py | from ray.rllib.algorithms.es.es import ES, ESConfig
from ray.rllib.algorithms.es.es_tf_policy import ESTFPolicy
from ray.rllib.algorithms.es.es_torch_policy import ESTorchPolicy
__all__ = ["ES", "ESConfig", "ESTFPolicy", "ESTorchPolicy"]
| 239 | 39 | 65 | py |
ray | ray-master/rllib/algorithms/a3c/a3c.py | import logging
from typing import Any, Dict, List, Optional, Type, Union
from ray.rllib.algorithms.algorithm import Algorithm
from ray.rllib.algorithms.algorithm_config import AlgorithmConfig, NotProvided
from ray.rllib.evaluation.rollout_worker import RolloutWorker
from ray.rllib.policy.policy import Policy
from ray.... | 11,229 | 39.836364 | 88 | py |
ray | ray-master/rllib/algorithms/a3c/a3c_torch_policy.py | from typing import Dict, List, Optional, Type, Union
from ray.rllib.evaluation.episode import Episode
from ray.rllib.evaluation.postprocessing import (
compute_gae_for_sample_batch,
Postprocessing,
)
from ray.rllib.models.modelv2 import ModelV2
from ray.rllib.models.torch.torch_action_dist import TorchDistribu... | 5,384 | 34.196078 | 87 | py |
ray | ray-master/rllib/algorithms/a3c/a3c_tf_policy.py | """Note: Keep in sync with changes to VTraceTFPolicy."""
from typing import Dict, List, Optional, Type, Union
from ray.rllib.evaluation.episode import Episode
from ray.rllib.evaluation.postprocessing import (
compute_gae_for_sample_batch,
Postprocessing,
)
from ray.rllib.models.modelv2 import ModelV2
from ray.... | 6,433 | 33.778378 | 82 | py |
ray | ray-master/rllib/algorithms/r2d2/r2d2.py | import logging
from typing import Optional, Type
from ray.rllib.algorithms.algorithm_config import AlgorithmConfig, NotProvided
from ray.rllib.algorithms.dqn import DQN, DQNConfig
from ray.rllib.algorithms.r2d2.r2d2_tf_policy import R2D2TFPolicy
from ray.rllib.algorithms.r2d2.r2d2_torch_policy import R2D2TorchPolicy
f... | 8,932 | 37.339056 | 88 | py |
ray | ray-master/rllib/algorithms/r2d2/r2d2_tf_policy.py | """TensorFlow policy class used for R2D2."""
from typing import Dict, List, Optional, Tuple
import gymnasium as gym
import ray
from ray.rllib.algorithms.dqn.dqn_tf_policy import (
clip_gradients,
compute_q_values,
PRIO_WEIGHTS,
postprocess_nstep_and_prio,
)
from ray.rllib.algorithms.dqn.dqn_tf_policy ... | 11,672 | 31.974576 | 88 | py |
ray | ray-master/rllib/algorithms/r2d2/r2d2_torch_policy.py | """PyTorch policy class used for R2D2."""
from typing import Dict, Tuple
import gymnasium as gym
import ray
from ray.rllib.algorithms.dqn.dqn_tf_policy import (
PRIO_WEIGHTS,
postprocess_nstep_and_prio,
)
from ray.rllib.algorithms.dqn.dqn_torch_policy import (
adam_optimizer,
build_q_model_and_distrib... | 11,163 | 32.42515 | 88 | py |
ray | ray-master/rllib/algorithms/r2d2/__init__.py | from ray.rllib.algorithms.r2d2.r2d2 import R2D2, R2D2Config
from ray.rllib.algorithms.r2d2.r2d2_tf_policy import R2D2TFPolicy
from ray.rllib.algorithms.r2d2.r2d2_torch_policy import R2D2TorchPolicy
__all__ = [
"R2D2",
"R2D2Config",
"R2D2TFPolicy",
"R2D2TorchPolicy",
]
| 286 | 25.090909 | 71 | py |
ray | ray-master/rllib/algorithms/r2d2/tests/test_r2d2.py | import unittest
import ray
import ray.rllib.algorithms.r2d2 as r2d2
from ray.rllib.utils.framework import try_import_tf, try_import_torch
from ray.rllib.utils.metrics.learner_info import LEARNER_INFO
from ray.rllib.utils.test_utils import (
check_compute_single_action,
check_train_results,
framework_iterat... | 3,164 | 31.295918 | 85 | py |
ray | ray-master/rllib/algorithms/ddppo/ddppo.py | """
Decentralized Distributed PPO (DD-PPO)
======================================
Unlike APPO or PPO, learning is no longer done centralized in the Algorithm
process. Instead, gradients are computed remotely on each rollout worker and
all-reduced to sync them at each mini-batch. This allows each worker's GPU
to be use... | 15,425 | 39.701847 | 87 | py |
ray | ray-master/rllib/algorithms/ddppo/tests/test_ddppo.py | import unittest
import pytest
import ray
import ray.rllib.algorithms.ddppo as ddppo
from ray.rllib.policy.sample_batch import DEFAULT_POLICY_ID
from ray.rllib.utils.metrics.learner_info import LEARNER_INFO, LEARNER_STATS_KEY
from ray.rllib.utils.test_utils import (
check,
check_compute_single_action,
check... | 2,652 | 31.753086 | 80 | py |
ray | ray-master/rllib/algorithms/appo/appo_torch_policy.py | """
PyTorch policy class used for APPO.
Adapted from VTraceTFPolicy to use the PPO surrogate loss.
Keep in sync with changes to VTraceTFPolicy.
"""
import gymnasium as gym
import numpy as np
import logging
from typing import Any, Dict, List, Optional, Type, Union
import ray
from ray.rllib.algorithms.appo.utils impor... | 15,292 | 36.947891 | 87 | py |
ray | ray-master/rllib/algorithms/appo/appo.py | """
Asynchronous Proximal Policy Optimization (APPO)
================================================
This file defines the distributed Algorithm class for the asynchronous version
of proximal policy optimization (APPO).
See `appo_[tf|torch]_policy.py` for the definition of the policy loss.
Detailed documentation:
ht... | 15,851 | 37.948403 | 88 | py |
ray | ray-master/rllib/algorithms/appo/__init__.py | from ray.rllib.algorithms.appo.appo import APPO, APPOConfig
from ray.rllib.algorithms.appo.appo_tf_policy import APPOTF1Policy, APPOTF2Policy
from ray.rllib.algorithms.appo.appo_torch_policy import APPOTorchPolicy
__all__ = [
"APPO",
"APPOConfig",
"APPOTF1Policy",
"APPOTF2Policy",
"APPOTorchPolicy"... | 324 | 26.083333 | 81 | py |
ray | ray-master/rllib/algorithms/appo/appo_tf_policy.py | """
TensorFlow policy class used for APPO.
Adapted from VTraceTFPolicy to use the PPO surrogate loss.
Keep in sync with changes to VTraceTFPolicy.
"""
import numpy as np
import logging
import gymnasium as gym
from typing import Dict, List, Optional, Type, Union
from ray.rllib.algorithms.appo.utils import make_appo_m... | 15,887 | 38.620948 | 88 | py |
ray | ray-master/rllib/algorithms/appo/torch/appo_torch_rl_module.py | from typing import List
from ray.rllib.algorithms.appo.appo_learner import (
OLD_ACTION_DIST_LOGITS_KEY,
)
from ray.rllib.algorithms.ppo.torch.ppo_torch_rl_module import PPOTorchRLModule
from ray.rllib.core.models.base import ACTOR
from ray.rllib.core.models.tf.encoder import ENCODER_OUT
from ray.rllib.core.rl_mod... | 2,006 | 39.959184 | 87 | py |
ray | ray-master/rllib/algorithms/appo/torch/appo_torch_learner.py | from typing import Any, Dict, Mapping
from ray.rllib.policy.sample_batch import SampleBatch
from ray.rllib.algorithms.appo.appo_learner import (
AppoLearner,
AppoLearnerHyperparameters,
LEARNER_RESULTS_CURR_KL_COEFF_KEY,
LEARNER_RESULTS_KL_KEY,
OLD_ACTION_DIST_LOGITS_KEY,
)
from ray.rllib.algorithm... | 9,595 | 38.817427 | 88 | py |
ray | ray-master/rllib/algorithms/appo/tests/test_appo_learner.py | import unittest
import numpy as np
import tree # pip install dm_tree
import ray
import ray.rllib.algorithms.appo as appo
from ray.rllib.algorithms.appo.tf.appo_tf_learner import (
LEARNER_RESULTS_CURR_KL_COEFF_KEY,
)
from ray.rllib.core.rl_module.rl_module import SingleAgentRLModuleSpec
from ray.rllib.policy.sam... | 5,632 | 33.347561 | 88 | py |
ray | ray-master/rllib/algorithms/appo/tests/test_appo.py | import unittest
import ray
import ray.rllib.algorithms.appo as appo
from ray.rllib.policy.sample_batch import DEFAULT_POLICY_ID
from ray.rllib.utils.metrics.learner_info import LEARNER_INFO, LEARNER_STATS_KEY
from ray.rllib.utils.test_utils import (
check_compute_single_action,
check_train_results,
framewo... | 7,602 | 32.346491 | 88 | py |
ray | ray-master/rllib/algorithms/pg/pg.py | 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.policy.policy import Policy
from ray.rllib.utils.annotations import override
from ray.rllib.utils.deprecation import Deprecat... | 5,609 | 36.4 | 87 | py |
ray | ray-master/rllib/algorithms/pg/pg_torch_policy.py | """
PyTorch policy class used for PG.
"""
import logging
from typing import Dict, List, Type, Union, Optional, Tuple
from ray.rllib.evaluation.episode import Episode
from ray.rllib.utils.typing import AgentID
from ray.rllib.policy.torch_policy_v2 import TorchPolicyV2
from ray.rllib.utils.annotations import override
fr... | 4,187 | 32.774194 | 88 | py |
ray | ray-master/rllib/algorithms/pg/__init__.py | from ray.rllib.algorithms.pg.pg import PG, PGConfig
from ray.rllib.algorithms.pg.pg_tf_policy import PGTF1Policy, PGTF2Policy
from ray.rllib.algorithms.pg.pg_torch_policy import PGTorchPolicy
from ray.rllib.algorithms.pg.utils import post_process_advantages
__all__ = [
"post_process_advantages",
"PG",
"PG... | 421 | 25.375 | 73 | py |
ray | ray-master/rllib/algorithms/pg/tests/test_pg.py | from gymnasium.spaces import Box, Dict, Discrete, Tuple
import numpy as np
import unittest
import ray
import ray.rllib.algorithms.pg as pg
from ray.rllib.evaluation.postprocessing import Postprocessing
from ray.rllib.examples.env.random_env import RandomEnv
from ray.rllib.models.tf.tf_action_dist import Categorical
fr... | 8,122 | 32.845833 | 88 | py |
ray | ray-master/rllib/algorithms/cql/cql_torch_policy.py | """
PyTorch policy class used for CQL.
"""
import numpy as np
import gymnasium as gym
import logging
import tree
from typing import Dict, List, Tuple, Type, Union
import ray
import ray.experimental.tf_utils
from ray.rllib.algorithms.sac.sac_tf_policy import (
postprocess_trajectory,
validate_spaces,
)
from ray... | 14,720 | 35.169533 | 88 | py |
ray | ray-master/rllib/algorithms/cql/cql.py | import logging
from typing import Optional, Type
from ray.rllib.algorithms.algorithm_config import AlgorithmConfig, NotProvided
from ray.rllib.algorithms.cql.cql_tf_policy import CQLTFPolicy
from ray.rllib.algorithms.cql.cql_torch_policy import CQLTorchPolicy
from ray.rllib.algorithms.sac.sac import (
SAC,
SAC... | 7,927 | 35.874419 | 84 | py |
ray | ray-master/rllib/algorithms/cql/__init__.py | from ray.rllib.algorithms.cql.cql import CQL, CQLConfig
from ray.rllib.algorithms.cql.cql_torch_policy import CQLTorchPolicy
__all__ = [
"CQL",
"CQLTorchPolicy",
"CQLConfig",
]
| 190 | 20.222222 | 68 | py |
ray | ray-master/rllib/algorithms/cql/cql_tf_policy.py | """
TensorFlow policy class used for CQL.
"""
from functools import partial
import numpy as np
import gymnasium as gym
import logging
import tree
from typing import Dict, List, Type, Union
import ray
import ray.experimental.tf_utils
from ray.rllib.algorithms.sac.sac_tf_policy import (
apply_gradients as sac_apply_... | 15,772 | 35.93911 | 87 | py |
ray | ray-master/rllib/algorithms/cql/tests/test_cql.py | import numpy as np
from pathlib import Path
import os
import unittest
import ray
from ray.rllib.algorithms import cql
from ray.rllib.utils.framework import try_import_tf, try_import_torch
from ray.rllib.utils.test_utils import (
check_compute_single_action,
check_train_results,
framework_iterator,
)
tf1, ... | 5,212 | 33.753333 | 88 | py |
ray | ray-master/rllib/algorithms/mbmpo/mbmpo_torch_policy.py | from gymnasium.spaces import Box, Discrete
import logging
from typing import Tuple, Type
from ray.rllib.algorithms.maml.maml_torch_policy import MAMLTorchPolicy
from ray.rllib.models.catalog import ModelCatalog
from ray.rllib.models.modelv2 import ModelV2
from ray.rllib.models.torch.torch_action_dist import TorchDistr... | 3,519 | 38.550562 | 81 | py |
ray | ray-master/rllib/algorithms/mbmpo/utils.py | import numpy as np
from ray.rllib.evaluation.postprocessing import discount_cumsum
from ray.rllib.models.modelv2 import ModelV2
from ray.rllib.utils.exploration.stochastic_sampling import StochasticSampling
from ray.rllib.utils.framework import try_import_tf, try_import_torch
tf1, tf, tfv = try_import_tf()
torch, _ =... | 3,538 | 32.704762 | 86 | py |
ray | ray-master/rllib/algorithms/mbmpo/model_ensemble.py | import gymnasium as gym
from gymnasium.spaces import Discrete, Box
import numpy as np
from ray.rllib.evaluation.rollout_worker import get_global_worker
from ray.rllib.execution.common import STEPS_SAMPLED_COUNTER
from ray.rllib.models.torch.torch_modelv2 import TorchModelV2
from ray.rllib.policy.sample_batch import Sa... | 13,161 | 35.662953 | 88 | py |
ray | ray-master/rllib/algorithms/mbmpo/mbmpo.py | import logging
import numpy as np
from typing import List, Optional, Type
import ray
from ray.rllib.algorithms.mbmpo.model_ensemble import DynamicsEnsembleCustomModel
from ray.rllib.algorithms.mbmpo.utils import calculate_gae_advantages, MBMPOExploration
from ray.rllib.algorithms.algorithm import Algorithm
from ray.rl... | 22,909 | 36.495908 | 88 | py |
ray | ray-master/rllib/algorithms/mbmpo/tests/test_mbmpo.py | from gymnasium.wrappers import TimeLimit
import unittest
import ray
import ray.rllib.algorithms.mbmpo as mbmpo
from ray.rllib.examples.env.mbmpo_env import CartPoleWrapper
from ray.rllib.utils.test_utils import (
check_compute_single_action,
check_train_results,
framework_iterator,
)
from ray.tune.registry... | 1,526 | 26.267857 | 80 | py |
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