code stringlengths 114 1.05M | path stringlengths 3 312 | quality_prob float64 0.5 0.99 | learning_prob float64 0.2 1 | filename stringlengths 3 168 | kind stringclasses 1
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|---|---|---|---|---|---|
import os
import pickle
import numpy as np
from ray.tune import result as tune_result
from ray.rllib.agents.trainer import Trainer, with_common_config
from ray.rllib.utils.annotations import override
from ray.rllib.utils.typing import TrainerConfigDict
class _MockTrainer(Trainer):
"""Mock trainer for use in test... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/agents/mock.py | 0.760473 | 0.181173 | mock.py | pypi |
import numpy as np
import os
import tracemalloc
from typing import Dict, Optional, TYPE_CHECKING
from ray.rllib.env.base_env import BaseEnv
from ray.rllib.env.env_context import EnvContext
from ray.rllib.policy import Policy
from ray.rllib.policy.sample_batch import SampleBatch
from ray.rllib.evaluation.episode import... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/agents/callbacks.py | 0.96203 | 0.202601 | callbacks.py | pypi |
import logging
from typing import Callable, Iterable, List, Optional, Type, Union
from ray.rllib.agents.trainer import Trainer, COMMON_CONFIG
from ray.rllib.env.env_context import EnvContext
from ray.rllib.evaluation.worker_set import WorkerSet
from ray.rllib.policy import Policy
from ray.rllib.utils import add_mixins... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/agents/trainer_template.py | 0.901698 | 0.155912 | trainer_template.py | pypi |
import numpy as np
from ray.rllib.utils.framework import try_import_torch
torch, nn = try_import_torch()
class VDNMixer(nn.Module):
def __init__(self):
super(VDNMixer, self).__init__()
def forward(self, agent_qs, batch):
return torch.sum(agent_qs, dim=2, keepdim=True)
class QMixer(nn.Modu... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/agents/qmix/mixers.py | 0.944912 | 0.516839 | mixers.py | pypi |
from gym.spaces import Tuple, Discrete, Dict
import logging
import numpy as np
import tree # pip install dm_tree
import ray
from ray.rllib.agents.qmix.mixers import VDNMixer, QMixer
from ray.rllib.agents.qmix.model import RNNModel, _get_size
from ray.rllib.env.multi_agent_env import ENV_STATE
from ray.rllib.env.wrapp... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/agents/qmix/qmix_policy.py | 0.934776 | 0.30388 | qmix_policy.py | pypi |
import gym
from gym.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.agents.sac.sac_tf_policy import (
build_sac_model,
postprocess_trajectory,
validate_spaces... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/agents/sac/sac_torch_policy.py | 0.959931 | 0.317611 | sac_torch_policy.py | pypi |
import gym
from typing import Optional, List, Dict
from ray.rllib.agents.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.utils import override, force_... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/agents/sac/rnnsac_torch_model.py | 0.88334 | 0.31027 | rnnsac_torch_model.py | pypi |
import gym
from gym.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.tf.tf_modelv2 import TFModelV2
from ray.rllib.utils import force_list
from ray.rllib.utils.annotations im... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/agents/sac/sac_tf_model.py | 0.933188 | 0.527438 | sac_tf_model.py | pypi |
import gym
from gym.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 import force_list
from ray.rllib.utils.annot... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/agents/sac/sac_torch_model.py | 0.941641 | 0.512388 | sac_torch_model.py | pypi |
import gym
from gym.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.agents.ddpg.ddpg_tf_policy import ComputeTDErrorMixin, TargetNetworkMixin
from ray.rllib.agents.dqn.dqn_tf_... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/agents/sac/sac_tf_policy.py | 0.951919 | 0.256506 | sac_tf_policy.py | pypi |
import logging
import numpy as np
from typing import Dict, Optional
import ray
from ray.rllib.agents.dreamer.utils import FreezeParameters
from ray.rllib.evaluation.episode import Episode
from ray.rllib.models.catalog import ModelCatalog
from ray.rllib.policy.policy import Policy
from ray.rllib.policy.policy_template... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/agents/dreamer/dreamer_torch_policy.py | 0.936706 | 0.42937 | dreamer_torch_policy.py | pypi |
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... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/agents/dreamer/utils.py | 0.87339 | 0.269145 | utils.py | pypi |
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 ... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/agents/dreamer/dreamer_model.py | 0.965029 | 0.565539 | dreamer_model.py | pypi |
import gym
import numpy as np
import tree # pip install dm_tree
import ray
import ray.experimental.tf_utils
from ray.rllib.agents.es.es_tf_policy import make_session
from ray.rllib.models import ModelCatalog
from ray.rllib.policy.policy import Policy
from ray.rllib.policy.sample_batch import SampleBatch
from ray.rll... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/agents/ars/ars_tf_policy.py | 0.792705 | 0.209692 | ars_tf_policy.py | pypi |
from collections import namedtuple
import logging
import numpy as np
import random
import time
import ray
from ray.rllib.agents import Trainer, with_common_config
from ray.rllib.agents.ars.ars_tf_policy import ARSTFPolicy
from ray.rllib.agents.es import optimizers, utils
from ray.rllib.agents.es.es_tf_policy import r... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/agents/ars/ars.py | 0.922587 | 0.296514 | ars.py | pypi |
from functools import partial
import numpy as np
import gym
import logging
from typing import Dict, List, Type, Union
import ray
import ray.experimental.tf_utils
from ray.rllib.agents.sac.sac_tf_policy import (
apply_gradients as sac_apply_gradients,
compute_and_clip_gradients as sac_compute_and_clip_gradients... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/agents/cql/cql_tf_policy.py | 0.874801 | 0.307787 | cql_tf_policy.py | pypi |
import numpy as np
import gym
import logging
from typing import Dict, List, Tuple, Type, Union
import ray
import ray.experimental.tf_utils
from ray.rllib.agents.sac.sac_tf_policy import postprocess_trajectory, validate_spaces
from ray.rllib.agents.sac.sac_torch_policy import (
_get_dist_class,
stats,
build... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/agents/cql/cql_torch_policy.py | 0.8908 | 0.355048 | cql_torch_policy.py | pypi |
import logging
import numpy as np
from typing import Type
from ray.rllib.agents.cql.cql_tf_policy import CQLTFPolicy
from ray.rllib.agents.cql.cql_torch_policy import CQLTorchPolicy
from ray.rllib.agents.sac.sac import SACTrainer, DEFAULT_CONFIG as SAC_CONFIG
from ray.rllib.execution.metric_ops import StandardMetricsR... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/agents/cql/cql.py | 0.858021 | 0.200382 | cql.py | pypi |
from typing import List
import gym
from ray.rllib.models.tf.layers import NoisyLayer
from ray.rllib.models.tf.tf_modelv2 import TFModelV2
from ray.rllib.utils.framework import try_import_tf
from ray.rllib.utils.typing import ModelConfigDict, TensorType
tf1, tf, tfv = try_import_tf()
class DistributionalQTFModel(TF... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/agents/dqn/distributional_q_tf_model.py | 0.853547 | 0.450782 | distributional_q_tf_model.py | pypi |
import logging
from typing import List, Tuple, Type
import gym
import ray
from ray.rllib.models import ModelCatalog
from ray.rllib.models.modelv2 import ModelV2
from ray.rllib.models.tf.tf_action_dist import Categorical, TFActionDistribution
from ray.rllib.models.torch.torch_action_dist import TorchCategorical
from r... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/agents/dqn/simple_q_tf_policy.py | 0.952794 | 0.322819 | simple_q_tf_policy.py | pypi |
from typing import Sequence
import gym
from ray.rllib.models.torch.misc import SlimFC
from ray.rllib.models.torch.modules.noisy_layer import NoisyLayer
from ray.rllib.models.torch.torch_modelv2 import TorchModelV2
from ray.rllib.utils.framework import try_import_torch
from ray.rllib.utils.typing import ModelConfigDict... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/agents/dqn/dqn_torch_model.py | 0.912358 | 0.384768 | dqn_torch_model.py | pypi |
import logging
from typing import Dict, Tuple
import gym
import ray
from ray.rllib.agents.dqn.simple_q_tf_policy import (
build_q_models,
compute_q_values,
get_distribution_inputs_and_class,
)
from ray.rllib.models.modelv2 import ModelV2
from ray.rllib.models.torch.torch_action_dist import (
TorchCate... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/agents/dqn/simple_q_torch_policy.py | 0.953784 | 0.363929 | simple_q_torch_policy.py | pypi |
from typing import Dict, List, Optional, Tuple
import gym
import ray
from ray.rllib.agents.dqn.dqn_tf_policy import (
clip_gradients,
compute_q_values,
PRIO_WEIGHTS,
postprocess_nstep_and_prio,
)
from ray.rllib.agents.dqn.dqn_tf_policy import build_q_model
from ray.rllib.agents.dqn.simple_q_tf_policy ... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/agents/dqn/r2d2_tf_policy.py | 0.930907 | 0.373504 | r2d2_tf_policy.py | pypi |
from typing import Dict, Tuple
import gym
import ray
from ray.rllib.agents.dqn.dqn_tf_policy import PRIO_WEIGHTS, postprocess_nstep_and_prio
from ray.rllib.agents.dqn.dqn_torch_policy import (
adam_optimizer,
build_q_model_and_distribution,
compute_q_values,
)
from ray.rllib.agents.dqn.r2d2_tf_policy impo... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/agents/dqn/r2d2_torch_policy.py | 0.922167 | 0.403273 | r2d2_torch_policy.py | pypi |
import gym
from typing import Dict
import ray
from ray.rllib.agents.a3c.a3c_torch_policy import ValueNetworkMixin
from ray.rllib.agents.marwil.marwil_tf_policy import postprocess_advantages
from ray.rllib.evaluation.postprocessing import Postprocessing
from ray.rllib.policy.policy_template import build_policy_class
fr... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/agents/marwil/marwil_torch_policy.py | 0.915216 | 0.319334 | marwil_torch_policy.py | pypi |
import numpy as np
import logging
import gym
import ray
from ray.rllib.agents.impala import vtrace_tf as vtrace
from ray.rllib.models.tf.tf_action_dist import Categorical
from ray.rllib.policy.sample_batch import SampleBatch
from ray.rllib.policy.tf_policy_template import build_tf_policy
from ray.rllib.policy.tf_polic... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/agents/impala/vtrace_tf_policy.py | 0.912028 | 0.369571 | vtrace_tf_policy.py | pypi |
from ray.rllib.agents.impala.vtrace_tf import VTraceFromLogitsReturns, VTraceReturns
from ray.rllib.models.torch.torch_action_dist import TorchCategorical
from ray.rllib.utils import force_list
from ray.rllib.utils.framework import try_import_torch
from ray.rllib.utils.torch_utils import convert_to_torch_tensor
torch,... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/agents/impala/vtrace_torch.py | 0.968694 | 0.604778 | vtrace_torch.py | pypi |
import collections
from ray.rllib.models.tf.tf_action_dist import Categorical
from ray.rllib.utils.framework import try_import_tf
tf1, tf, tfv = try_import_tf()
VTraceFromLogitsReturns = collections.namedtuple(
"VTraceFromLogitsReturns",
[
"vs",
"pg_advantages",
"log_rhos",
"b... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/agents/impala/vtrace_tf.py | 0.942725 | 0.483466 | vtrace_tf.py | pypi |
import gym
import logging
import numpy as np
from typing import Any, Dict
import ray
import ray.rllib.agents.impala.vtrace_torch as vtrace
from ray.rllib.models.torch.torch_action_dist import TorchCategorical
from ray.rllib.policy.policy import Policy
from ray.rllib.policy.policy_template import build_policy_class
fro... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/agents/impala/vtrace_torch_policy.py | 0.943718 | 0.372933 | vtrace_torch_policy.py | pypi |
from abc import ABCMeta
import logging
import numpy as np
import re
from ray.rllib.agents.trainer import Trainer
from ray.rllib.examples.policy.random_policy import RandomPolicy
from ray.rllib.policy.policy import PolicySpec
from ray.rllib.utils.annotations import ExperimentalAPI, override
from ray.rllib.utils.numpy i... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/agents/alpha_star/league_builder.py | 0.922757 | 0.228737 | league_builder.py | pypi |
import math
from ray.util.iter import LocalIterator
from ray.rllib.agents.a3c.a3c import DEFAULT_CONFIG as A3C_CONFIG, A3CTrainer
from ray.rllib.agents.trainer import Trainer
from ray.rllib.execution.metric_ops import StandardMetricsReporting
from ray.rllib.execution.rollout_ops import ParallelRollouts, ConcatBatches
... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/agents/a3c/a2c.py | 0.881691 | 0.269767 | a2c.py | pypi |
import gym
from typing import Dict, List, Optional
import ray
from ray.rllib.evaluation.episode import Episode
from ray.rllib.evaluation.postprocessing import (
compute_gae_for_sample_batch,
Postprocessing,
)
from ray.rllib.models.action_dist import ActionDistribution
from ray.rllib.models.modelv2 import Model... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/agents/a3c/a3c_torch_policy.py | 0.949389 | 0.406744 | a3c_torch_policy.py | pypi |
from typing import Optional, Dict
import gym
import ray
from ray.rllib.agents.ppo.ppo_tf_policy import ValueNetworkMixin
from ray.rllib.policy.sample_batch import SampleBatch
from ray.rllib.evaluation.episode import Episode
from ray.rllib.evaluation.postprocessing import (
compute_gae_for_sample_batch,
Postpro... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/agents/a3c/a3c_tf_policy.py | 0.95121 | 0.262848 | a3c_tf_policy.py | pypi |
import logging
import gym
from typing import Dict, Tuple
import ray
from ray.rllib.agents.ddpg.ddpg_tf_policy import (
build_ddpg_models,
get_distribution_inputs_and_class,
validate_spaces,
)
from ray.rllib.agents.dqn.dqn_tf_policy import postprocess_nstep_and_prio, PRIO_WEIGHTS
from ray.rllib.agents.sac.s... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/agents/ddpg/ddpg_torch_policy.py | 0.91196 | 0.225779 | ddpg_torch_policy.py | pypi |
import numpy as np
import gym
from typing import List, Optional
from ray.rllib.models.tf.tf_modelv2 import TFModelV2
from ray.rllib.utils.framework import try_import_tf
from ray.rllib.utils.typing import ModelConfigDict, TensorType
tf1, tf, tfv = try_import_tf()
class DDPGTFModel(TFModelV2):
"""Extension of sta... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/agents/ddpg/ddpg_tf_model.py | 0.930742 | 0.493103 | ddpg_tf_model.py | pypi |
from ray.rllib.agents.ddpg.ddpg import DDPGTrainer, DEFAULT_CONFIG as DDPG_CONFIG
from ray.rllib.utils.annotations import override
from ray.rllib.utils.typing import TrainerConfigDict
TD3_DEFAULT_CONFIG = DDPGTrainer.merge_trainer_configs(
DDPG_CONFIG,
{
# largest changes: twin Q functions, delayed pol... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/agents/ddpg/td3.py | 0.810854 | 0.461927 | td3.py | pypi |
import numpy as np
import gym
from typing import List, Dict, Union, Optional
from ray.rllib.models.torch.misc import SlimFC
from ray.rllib.models.torch.torch_modelv2 import TorchModelV2
from ray.rllib.models.utils import get_activation_fn
from ray.rllib.utils.framework import try_import_torch
from ray.rllib.utils.typi... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/agents/ddpg/ddpg_torch_model.py | 0.948442 | 0.438665 | ddpg_torch_model.py | pypi |
import logging
from typing import Type
from ray.rllib.agents.bandit.bandit_torch_policy import BanditTorchPolicy
from ray.rllib.agents.trainer import Trainer, with_common_config
from ray.rllib.policy.policy import Policy
from ray.rllib.utils.annotations import override
from ray.rllib.utils.typing import TrainerConfigD... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/agents/bandit/bandit.py | 0.882769 | 0.228856 | bandit.py | pypi |
import gym
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.framework import try_import_torch
from ray.rllib.utils.typing import TensorType
torch, nn = try_import_torch()
class OnlineLinea... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/agents/bandit/bandit_torch_model.py | 0.949306 | 0.563168 | bandit_torch_model.py | pypi |
import logging
import time
from gym import spaces
from ray.rllib.agents.bandit.bandit_torch_model import (
DiscreteLinearModelThompsonSampling,
DiscreteLinearModelUCB,
DiscreteLinearModel,
ParametricLinearModelThompsonSampling,
ParametricLinearModelUCB,
)
from ray.rllib.models.catalog import ModelC... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/agents/bandit/bandit_torch_policy.py | 0.608827 | 0.245051 | bandit_torch_policy.py | pypi |
import numpy as np
import logging
import gym
from typing import Dict, List, Optional, Type, Union
from ray.rllib.agents.impala import vtrace_tf as vtrace
from ray.rllib.agents.impala.vtrace_tf_policy import (
_make_time_major,
clip_gradients,
choose_optimizer,
)
from ray.rllib.evaluation.episode import Epi... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/agents/ppo/appo_tf_policy.py | 0.920393 | 0.297942 | appo_tf_policy.py | pypi |
import gym
import numpy as np
import logging
from typing import Type
from ray.rllib.agents.dqn.simple_q_torch_policy import TargetNetworkMixin
import ray.rllib.agents.impala.vtrace_torch as vtrace
from ray.rllib.agents.impala.vtrace_torch_policy import (
make_time_major,
choose_optimizer,
)
from ray.rllib.agen... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/agents/ppo/appo_torch_policy.py | 0.916773 | 0.250626 | appo_torch_policy.py | pypi |
import logging
import ray
from ray.rllib.evaluation.postprocessing import (
compute_gae_for_sample_batch,
Postprocessing,
)
from ray.rllib.policy.policy_template import build_policy_class
from ray.rllib.policy.sample_batch import SampleBatch
from ray.rllib.agents.a3c.a3c_torch_policy import ValueNetworkMixin, ... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/agents/maml/maml_torch_policy.py | 0.871653 | 0.190404 | maml_torch_policy.py | pypi |
import logging
import ray
from ray.rllib.agents.ppo.ppo_tf_policy import (
vf_preds_fetches,
compute_and_clip_gradients,
setup_config,
ValueNetworkMixin,
)
from ray.rllib.evaluation.postprocessing import (
compute_gae_for_sample_batch,
Postprocessing,
)
from ray.rllib.models.utils import get_ac... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/agents/maml/maml_tf_policy.py | 0.8308 | 0.15759 | maml_tf_policy.py | pypi |
from typing import Dict, List, Type, Union
import ray
from ray.rllib.agents.pg.utils import post_process_advantages
from ray.rllib.evaluation.postprocessing import Postprocessing
from ray.rllib.models.action_dist import ActionDistribution
from ray.rllib.models.modelv2 import ModelV2
from ray.rllib.policy import Policy... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/agents/pg/pg_tf_policy.py | 0.970951 | 0.383526 | pg_tf_policy.py | pypi |
from typing import Dict, List, Type, Union
import ray
from ray.rllib.agents.pg.utils import post_process_advantages
from ray.rllib.evaluation.postprocessing import Postprocessing
from ray.rllib.models.torch.torch_action_dist import TorchDistributionWrapper
from ray.rllib.models.modelv2 import ModelV2
from ray.rllib.po... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/agents/pg/pg_torch_policy.py | 0.973164 | 0.403537 | pg_torch_policy.py | pypi |
from collections import namedtuple
import logging
import numpy as np
import random
import time
import ray
from ray.rllib.agents import Trainer, with_common_config
from ray.rllib.agents.es import optimizers, utils
from ray.rllib.agents.es.es_tf_policy import ESTFPolicy, rollout
from ray.rllib.env.env_context import En... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/agents/es/es.py | 0.919284 | 0.222827 | es.py | pypi |
import 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_batch import SampleBatch
from ray.rllib.utils.filter import get_filter
from ray.rllib.utils.framework impor... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/agents/es/es_torch_policy.py | 0.81626 | 0.355355 | es_torch_policy.py | pypi |
import gym
import numpy as np
import tree # pip install dm_tree
import ray
import ray.experimental.tf_utils
from ray.rllib.models import ModelCatalog
from ray.rllib.policy.policy import Policy
from ray.rllib.policy.sample_batch import SampleBatch
from ray.rllib.utils.annotations import override
from ray.rllib.utils.... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/agents/es/es_tf_policy.py | 0.862771 | 0.238783 | es_tf_policy.py | pypi |
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, _ =... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/agents/mbmpo/utils.py | 0.897386 | 0.394755 | utils.py | pypi |
import gym
from gym.spaces import Discrete, Box
import numpy as np
from ray.rllib.models.torch.torch_modelv2 import TorchModelV2
from ray.rllib.utils.framework import try_import_torch
from ray.rllib.evaluation.rollout_worker import get_global_worker
from ray.rllib.policy.sample_batch import SampleBatch
from ray.rllib.e... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/agents/mbmpo/model_ensemble.py | 0.932737 | 0.510802 | model_ensemble.py | pypi |
from typing import List
import gym
from ray.rllib.models.tf.tf_modelv2 import TFModelV2
from ray.rllib.utils.framework import try_import_tf
from ray.rllib.utils.typing import ModelConfigDict, TensorType
tf1, tf, tfv = try_import_tf()
class SlateQTFModel(TFModelV2):
def __init__(
self,
obs_space... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/agents/slateq/slateq_tf_model.py | 0.935766 | 0.449997 | slateq_tf_model.py | pypi |
import gym
import logging
import numpy as np
from typing import Dict, Tuple, Type
import ray
from ray.rllib.agents.sac.sac_torch_policy import TargetNetworkMixin
from ray.rllib.agents.slateq.slateq_torch_model import SlateQTorchModel
from ray.rllib.models.modelv2 import ModelV2
from ray.rllib.models.torch.torch_actio... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/agents/slateq/slateq_torch_policy.py | 0.907045 | 0.395893 | slateq_torch_policy.py | pypi |
from typing import List, Sequence
import gym
from ray.rllib.models.torch.misc import SlimFC
from ray.rllib.models.torch.torch_modelv2 import TorchModelV2
from ray.rllib.utils.framework import try_import_torch
from ray.rllib.utils.typing import ModelConfigDict, TensorType
torch, nn = try_import_torch()
F = None
if nn:... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/rllib/agents/slateq/slateq_torch_model.py | 0.954244 | 0.503967 | slateq_torch_model.py | pypi |
import inspect
from abc import abstractmethod
from typing import Any, Callable, Optional, Union
import starlette
from fastapi import Depends, FastAPI
from ray._private.utils import import_attr
from ray.serve.api import RayServeDAGHandle
from ray.serve.http_util import ASGIHTTPSender
from ray import serve
DEFAULT_INP... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/serve/drivers.py | 0.879942 | 0.164516 | drivers.py | pypi |
from abc import ABCMeta, abstractmethod
import math
from ray.serve.config import AutoscalingConfig
from ray.serve.constants import CONTROL_LOOP_PERIOD_S
from typing import List
def calculate_desired_num_replicas(
autoscaling_config: AutoscalingConfig, current_num_ongoing_requests: List[float]
) -> int: # (desi... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/serve/autoscaling_policy.py | 0.875508 | 0.45847 | autoscaling_policy.py | pypi |
import inspect
import pickle
from enum import Enum
from typing import Any, Callable, Dict, List, Optional, Tuple, Union
import pydantic
from google.protobuf.json_format import MessageToDict
from pydantic import (
BaseModel,
NonNegativeFloat,
PositiveFloat,
NonNegativeInt,
PositiveInt,
validator... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/serve/config.py | 0.767516 | 0.179945 | config.py | pypi |
from pydantic import BaseModel, Field, Extra, root_validator, validator
from typing import Union, Tuple, List, Dict
from ray._private.runtime_env.packaging import parse_uri
from ray.serve.common import DeploymentStatus
from ray.serve.utils import DEFAULT
class RayActorOptionsSchema(BaseModel, extra=Extra.forbid):
... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/serve/schema.py | 0.916983 | 0.191592 | schema.py | pypi |
import threading
import bisect
from collections import defaultdict
import time
from typing import Callable, DefaultDict, Dict, List, Optional
from dataclasses import dataclass, field
import ray
def start_metrics_pusher(
interval_s: float,
collection_callback: Callable[[], Dict[str, float]],
controller_ha... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/serve/autoscaling_metrics.py | 0.878601 | 0.365004 | autoscaling_metrics.py | pypi |
from typing import Dict, Optional, Type, Union
from ray._private.utils import import_attr
from ray.ml.checkpoint import Checkpoint
from ray.ml.predictor import Predictor
from ray.serve.drivers import InputSchemaFn, SimpleSchemaIngress
import ray
from ray import serve
def _load_checkpoint(
checkpoint: Union[Check... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/serve/model_wrappers.py | 0.971012 | 0.42185 | model_wrappers.py | pypi |
import inspect
import json
from typing import Any, Callable, Dict, Optional, List, Tuple, Union
from ray.experimental.dag import DAGNode, InputNode
from ray.serve.handle import RayServeLazySyncHandle, RayServeSyncHandle, RayServeHandle
from ray.serve.pipeline.deployment_method_node import DeploymentMethodNode
from ray... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/serve/pipeline/deployment_node.py | 0.781831 | 0.215557 | deployment_node.py | pypi |
from typing import Any, Union
from importlib import import_module
import json
from ray.experimental.dag import (
DAGNode,
ClassNode,
ClassMethodNode,
FunctionNode,
InputNode,
InputAtrributeNode,
DAGNODE_TYPE_KEY,
)
from ray.serve.pipeline.deployment_node import DeploymentNode
from ray.serv... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/serve/pipeline/json_serde.py | 0.533397 | 0.263061 | json_serde.py | pypi |
import inspect
from typing import Any, Callable, Dict, List, Union
from ray import ObjectRef
from ray.experimental.dag.dag_node import DAGNode
from ray.experimental.dag.format_utils import get_dag_node_str
from ray.experimental.dag.constants import DAGNODE_TYPE_KEY
from ray.serve.api import (
Deployment,
Deplo... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/serve/pipeline/deployment_function_node.py | 0.729712 | 0.151435 | deployment_function_node.py | pypi |
import sqlite3
import os
try:
import boto3
from botocore.exceptions import ClientError
except ImportError:
boto3 = None
from typing import Optional
import ray.experimental.internal_kv as ray_kv
from ray.serve.storage.kv_store_base import KVStoreBase
from ray.serve.utils import logger
from ray import ray_c... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/serve/storage/kv_store.py | 0.872558 | 0.320901 | kv_store.py | pypi |
from urllib.parse import parse_qsl, urlparse
from ray.serve.utils import logger
from ray.serve.constants import DEFAULT_CHECKPOINT_PATH
from ray.serve.storage.kv_store import RayInternalKVStore, RayLocalKVStore, RayS3KVStore
from ray.serve.storage.kv_store_base import KVStoreBase
from ray.serve.storage.ray_gcs_kv_stor... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/serve/storage/checkpoint_path.py | 0.649467 | 0.175644 | checkpoint_path.py | pypi |
try:
from google.cloud import storage
from google.cloud.exceptions import NotFound
except ImportError:
storage = None
import io
from typing import Optional
from ray.serve.storage.kv_store_base import KVStoreBase
from ray.serve.utils import logger
class RayGcsKVStore(KVStoreBase):
"""Persistent versio... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/serve/storage/ray_gcs_kv_store.py | 0.812793 | 0.173954 | ray_gcs_kv_store.py | pypi |
import time
import subprocess
import requests
import ray
from ray import serve
from ray.serve.utils import logger
from ray.util.placement_group import placement_group, remove_placement_group
ray.shutdown()
ray.init(address="auto")
# We ask for more worker but only need to run on smaller subset.
# This should accou... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/serve/benchmarks/scalability.py | 0.440951 | 0.270176 | scalability.py | pypi |
import aiohttp
import asyncio
import time
import requests
import numpy as np
import ray
from ray import serve
from ray.serve.utils import logger
NUM_CLIENTS = 8
CALLS_PER_BATCH = 100
async def timeit(name, fn, multiplier=1):
# warmup
start = time.time()
while time.time() - start < 1:
await fn(... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/serve/benchmarks/microbenchmark.py | 0.50708 | 0.241266 | microbenchmark.py | pypi |
import ray
import ray._private.services as services
import ray.worker
import ray._private.profiling as profiling
import ray._private.utils as utils
from ray import ray_constants
from ray.state import GlobalState
from ray._raylet import GcsClientOptions
__all__ = ["free", "global_gc"]
MAX_MESSAGE_LENGTH = ray._config.m... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/internal/internal_api.py | 0.791982 | 0.207335 | internal_api.py | pypi |
from typing import List, Optional, TYPE_CHECKING
from pathlib import Path
import os
import urllib
import importlib
from ray._private.client_mode_hook import client_mode_hook
if TYPE_CHECKING:
import pyarrow.fs
# The full storage argument specified, e.g., in ``ray.init(storage="s3://foo/bar")``
# This is set imm... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/internal/storage.py | 0.923837 | 0.194024 | storage.py | pypi |
import logging
import socket
from dataclasses import dataclass
from typing import Callable, List, TypeVar, Optional, Dict, Type, Tuple, Union
import ray
from ray.actor import ActorHandle
from ray.types import ObjectRef
from ray.util.placement_group import PlacementGroup
T = TypeVar("T")
logger = logging.getLogger(__... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/train/worker_group.py | 0.831177 | 0.419351 | worker_group.py | pypi |
import os
import platform
import queue
import threading
import time
from datetime import datetime
from dataclasses import dataclass
from enum import Enum, auto
from typing import Callable
from typing import Optional, Dict, Type
import warnings
import ray
from ray.train.accelerator import Accelerator
from ray.train.con... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/train/session.py | 0.845305 | 0.207797 | session.py | pypi |
import abc
import inspect
import os
import logging
from pathlib import Path
from threading import Thread
from typing import (
Tuple,
Dict,
List,
Any,
TYPE_CHECKING,
Union,
Callable,
TypeVar,
Optional,
)
import ray
from ray.actor import ActorHandle
from ray.exceptions import RayActo... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/train/utils.py | 0.858051 | 0.273542 | utils.py | pypi |
import logging
import os
from dataclasses import dataclass
from typing import Optional, Set
import ray
from ray.train.backend import BackendConfig, Backend
from ray.train.utils import update_env_vars
from ray.train.worker_group import WorkerGroup, Worker
from horovod.ray.runner import Coordinator
from horovod.ray.uti... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/train/horovod.py | 0.826607 | 0.153899 | horovod.py | pypi |
import json
import logging
import os
from dataclasses import dataclass
from typing import List
import ray
from ray.train.backend import BackendConfig, Backend
from ray.train.utils import get_address_and_port
from ray.train.worker_group import WorkerGroup
from ray.util import PublicAPI
import tensorflow as tf
logger ... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/train/tensorflow.py | 0.786623 | 0.248762 | tensorflow.py | pypi |
# __tf_setup_begin__
import numpy as np
import tensorflow as tf
def mnist_dataset(batch_size):
(x_train, y_train), _ = tf.keras.datasets.mnist.load_data()
# The `x` arrays are in uint8 and have values in the [0, 255] range.
# You need to convert them to float32 with values in the [0, 1] range.
x_tra... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/train/examples/tensorflow_quick_start.py | 0.876872 | 0.547525 | tensorflow_quick_start.py | pypi |
# __torch_setup_begin__
import torch
import torch.nn as nn
num_samples = 20
input_size = 10
layer_size = 15
output_size = 5
class NeuralNetwork(nn.Module):
def __init__(self):
super(NeuralNetwork, self).__init__()
self.layer1 = nn.Linear(input_size, layer_size)
self.relu = nn.ReLU()
... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/train/examples/torch_quick_start.py | 0.938801 | 0.411466 | torch_quick_start.py | pypi |
import argparse
import numpy as np
import torch
import torch.nn as nn
import ray.train as train
from ray.train import Trainer
from ray.train.callbacks import JsonLoggerCallback, TBXLoggerCallback
class LinearDataset(torch.utils.data.Dataset):
"""y = a * x + b"""
def __init__(self, a, b, size=1000):
... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/train/examples/train_linear_example.py | 0.922189 | 0.385953 | train_linear_example.py | pypi |
import argparse
import json
import os
import numpy as np
import tensorflow as tf
from tensorflow.keras.callbacks import Callback
import ray.train as train
from ray.train import Trainer
class TrainReportCallback(Callback):
def on_epoch_end(self, epoch, logs=None):
train.report(**logs)
def mnist_dataset... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/train/examples/tensorflow_mnist_example.py | 0.878249 | 0.385404 | tensorflow_mnist_example.py | pypi |
import argparse
import torch
from torch.nn.modules.utils import consume_prefix_in_state_dict_if_present
from torch.profiler import profile, record_function, schedule
import ray
import ray.train as train
from ray.train import Trainer
from ray.train.callbacks import TBXLoggerCallback
from ray.train.callbacks.profile im... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/train/examples/torch_tensorboard_profiler_example.py | 0.766643 | 0.203035 | torch_tensorboard_profiler_example.py | pypi |
import argparse
import tensorflow as tf
from tensorflow.keras.callbacks import Callback
import ray
import ray.train as train
from ray.data import Dataset
from ray.data.dataset_pipeline import DatasetPipeline
from ray.train import Trainer
from ray.train.tensorflow import prepare_dataset_shard
class TrainReportCallba... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/train/examples/tensorflow_linear_dataset_example.py | 0.881002 | 0.368235 | tensorflow_linear_dataset_example.py | pypi |
import argparse
import numpy as np
import torch
import torch.nn as nn
import torchvision.transforms as transforms
from filelock import FileLock
from torch.utils.data import DataLoader, Subset
from torchvision.datasets import CIFAR10
import ray
import ray.train as train
from ray import tune
from ray.train import Train... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/train/examples/tune_cifar_pytorch_pbt_example.py | 0.918733 | 0.529324 | tune_cifar_pytorch_pbt_example.py | pypi |
import argparse
from typing import Dict
import torch
import torch.nn as nn
import ray
import ray.train as train
from ray.data import Dataset
from ray.data.dataset_pipeline import DatasetPipeline
from ray.train import Trainer
from ray.train.callbacks import JsonLoggerCallback, TBXLoggerCallback
def get_datasets(a=5,... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/train/examples/train_linear_dataset_example.py | 0.89817 | 0.450057 | train_linear_dataset_example.py | pypi |
import argparse
from typing import Dict
import torch
import ray.train as train
from ray.train.trainer import Trainer
from ray.train.callbacks import JsonLoggerCallback
from torch import nn
from torch.utils.data import DataLoader
from torchvision import datasets
from torchvision.transforms import ToTensor
# Download t... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/train/examples/train_fashion_mnist_example.py | 0.941848 | 0.543772 | train_fashion_mnist_example.py | pypi |
import argparse
import warnings
import numpy as np
import torch
import torch.nn as nn
import ray.train as train
from ray.train import Trainer
class Net(nn.Module):
def __init__(self, in_d, hidden):
# output dim = 1
super(Net, self).__init__()
dims = [in_d] + hidden + [1]
self.laye... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/train/examples/torch_data_prefetch_benchmark/auto_pipeline_for_host_to_device_data_transfer.py | 0.925222 | 0.501526 | auto_pipeline_for_host_to_device_data_transfer.py | pypi |
import argparse
import os
import horovod.torch as hvd
import ray
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
import torch.utils.data.distributed
from filelock import FileLock
from ray.train import Trainer
from torchvision import datasets, transforms
def metric_average(val, name)... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/train/examples/horovod/horovod_example.py | 0.918809 | 0.293512 | horovod_example.py | pypi |
import json
import logging
import os
import warnings
from pathlib import Path
from typing import List, Optional, Dict, Set, Tuple, Union
import numpy as np
from ray.train.callbacks import TrainingCallback
from ray.train.callbacks.results_preprocessors import (
IndexedResultsPreprocessor,
ExcludedKeysResultsPr... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/train/callbacks/logging.py | 0.883839 | 0.276061 | logging.py | pypi |
import abc
from typing import List, Dict
from ray.train.callbacks.results_preprocessors import (
ResultsPreprocessor,
ExcludedKeysResultsPreprocessor,
SequentialResultsPreprocessor,
)
from ray.train.constants import ALL_RESERVED_KEYS
class TrainingCallback(abc.ABC):
"""Abstract Train callback class."... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/train/callbacks/callback.py | 0.930054 | 0.340567 | callback.py | pypi |
import json
from typing import Dict, List
from ray.train.callbacks import TrainingCallback
class PrintCallback(TrainingCallback):
"""A callback that prints training results to STDOUT.
Example:
>>> from ray import train
>>> from ray.train import Trainer
>>> from ray.train.callbacks i... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/train/callbacks/print.py | 0.810929 | 0.359701 | print.py | pypi |
import logging
from pathlib import Path
from typing import List, Dict, Optional, Union
from ray.train.callbacks import TrainingCallback
from ray.train.callbacks.logging import TrainCallbackLogdirManager
from ray.train.callbacks.results_preprocessors import IndexedResultsPreprocessor
from ray.train.constants import PYT... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/train/callbacks/profile.py | 0.895833 | 0.154026 | profile.py | pypi |
import logging
from typing import Dict, List, Optional
from ray.util.annotations import DeveloperAPI
from ray.train.callbacks.results_preprocessors.preprocessor import ResultsPreprocessor
from ray.train.callbacks.results_preprocessors.aggregate.aggregate_fn import (
AggregateFn,
Average,
Max,
WeightedA... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/train/callbacks/results_preprocessors/aggregate/aggregate_preprocessor.py | 0.928043 | 0.242968 | aggregate_preprocessor.py | pypi |
import logging
from typing import Dict, List, Optional, Tuple, Union
import numpy as np
from ray.util.debug import log_once
VALID_AGGREGATE_TYPES: Tuple[type] = (
int,
float,
np.float32,
np.float64,
np.int32,
np.int64,
)
logger = logging.getLogger(__name__)
def _check_if_key_is_reported(ke... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/train/callbacks/results_preprocessors/aggregate/aggregate_utils.py | 0.938498 | 0.39528 | aggregate_utils.py | pypi |
import json
import logging
import os
import threading
import time
import traceback
from collections import namedtuple
from typing import List
from opencensus.stats import aggregation
from opencensus.stats import measure as measure_module
from opencensus.stats import stats as stats_module
from opencensus.stats.view imp... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/_private/metrics_agent.py | 0.730097 | 0.294214 | metrics_agent.py | pypi |
import importlib.util
from collections import namedtuple
import logging
import os
import re
import subprocess
import sys
import ray
import ray.ray_constants as ray_constants
try:
import GPUtil
except ImportError:
pass
logger = logging.getLogger(__name__)
# Prefix for the node id resource that is automatical... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/_private/resource_spec.py | 0.688259 | 0.304559 | resource_spec.py | pypi |
import datetime
import os
import socket
import grpc
def generate_self_signed_tls_certs():
"""Create self-signed key/cert pair for testing.
This method requires the library ``cryptography`` be installed.
"""
try:
from cryptography import x509
from cryptography.hazmat.backends import d... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/_private/tls_utils.py | 0.47926 | 0.164852 | tls_utils.py | pypi |
import inspect
import logging
import numpy as np
import sys
from ray.util.client.ray_client_helpers import ray_start_client_server
from ray._private.ray_microbenchmark_helpers import timeit
def benchmark_get_calls(ray, results):
value = ray.put(0)
def get_small():
ray.get(value)
results += tim... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/_private/ray_client_microbenchmark.py | 0.523908 | 0.158044 | ray_client_microbenchmark.py | pypi |
import re
from prometheus_client import start_http_server
from prometheus_client.core import (
REGISTRY,
CollectorRegistry,
CounterMetricFamily,
GaugeMetricFamily,
HistogramMetricFamily,
UnknownMetricFamily,
)
from opencensus.common.transports import sync
from opencensus.stats import aggregat... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/_private/prometheus_exporter.py | 0.758868 | 0.27315 | prometheus_exporter.py | pypi |
import logging
import os
import numpy as np
import ray.ray_constants as ray_constants
logger = logging.getLogger(__name__)
class RayParams:
"""A class used to store the parameters used by Ray.
Attributes:
redis_address (str): The address of the Redis server to connect to. If
this addre... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/_private/parameter.py | 0.756717 | 0.417746 | parameter.py | pypi |
import inspect
from inspect import Parameter
import logging
from ray.util.inspect import is_cython
# Logger for this module. It should be configured at the entry point
# into the program using Ray. Ray provides a default configuration at
# entry/init points.
logger = logging.getLogger(__name__)
# This dummy type is ... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/_private/signature.py | 0.842944 | 0.488344 | signature.py | pypi |
import logging
import os
import platform
import sys
import time
# Import ray before psutil will make sure we use psutil's bundled version
import ray # noqa F401
import psutil # noqa E402
logger = logging.getLogger(__name__)
def get_rss(memory_info):
"""Get the estimated non-shared memory usage from psutil mem... | /ray_for_mars-1.12.1-cp38-cp38-manylinux2014_x86_64.whl/ray_for_mars-1.12.1.data/purelib/ray/_private/memory_monitor.py | 0.619356 | 0.180035 | memory_monitor.py | pypi |
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