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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SOPR-T | SOPR-T-main/d3rlpy-master/tests/test_torch_utility.py | import copy
from unittest.mock import Mock
import numpy as np
import pytest
import torch
from d3rlpy.torch_utility import (
augmentation_api,
eval_api,
freeze,
get_state_dict,
hard_sync,
map_location,
set_eval_mode,
set_state_dict,
set_train_mode,
soft_sync,
torch_api,
... | 6,894 | 22.940972 | 78 | py |
SOPR-T | SOPR-T-main/d3rlpy-master/tests/ope/torch/test_fqe_impl.py | import os
import numpy as np
import pytest
from d3rlpy.models.encoders import DefaultEncoderFactory
from d3rlpy.models.optimizers import AdamFactory
from d3rlpy.models.q_functions import create_q_func_factory
from d3rlpy.ope.torch.fqe_impl import DiscreteFQEImpl, FQEImpl
from tests.algos.algo_test import DummyActionS... | 3,494 | 30.486486 | 73 | py |
SOPR-T | SOPR-T-main/d3rlpy-master/tests/dynamics/dynamics_test.py | import os
import pickle
from unittest.mock import Mock
import numpy as np
import torch
from d3rlpy.dataset import MDPDataset, Transition, TransitionMiniBatch
from d3rlpy.dynamics.torch.base import TorchImplBase
from d3rlpy.logger import D3RLPyLogger
from d3rlpy.preprocessing import Scaler
from tests.algos.algo_test i... | 3,169 | 27.053097 | 73 | py |
SOPR-T | SOPR-T-main/d3rlpy-master/tests/dynamics/torch/test_probabilistic_ensemble_dynamics_impl.py | import pytest
from d3rlpy.dynamics.torch.probabilistic_ensemble_dynamics_impl import (
ProbabilisticEnsembleDynamicsImpl,
)
from d3rlpy.models.encoders import DefaultEncoderFactory
from d3rlpy.models.optimizers import AdamFactory
from tests.algos.algo_test import DummyActionScaler, DummyScaler
from tests.dynamics.... | 1,730 | 34.326531 | 78 | py |
SOPR-T | SOPR-T-main/d3rlpy-master/tests/models/test_q_functions.py | import pytest
from d3rlpy.models.encoders import VectorEncoderFactory
from d3rlpy.models.q_functions import (
FQFQFunctionFactory,
IQNQFunctionFactory,
MeanQFunctionFactory,
QRQFunctionFactory,
create_q_func_factory,
)
from d3rlpy.models.torch.q_functions import (
ContinuousFQFQFunction,
Co... | 4,067 | 33.184874 | 66 | py |
SOPR-T | SOPR-T-main/d3rlpy-master/tests/models/test_builders.py | import numpy as np
import pytest
import torch
from d3rlpy.models.builders import (
create_categorical_policy,
create_conditional_vae,
create_continuous_q_function,
create_deterministic_policy,
create_deterministic_regressor,
create_deterministic_residual_policy,
create_discrete_imitator,
... | 11,301 | 31.383954 | 79 | py |
SOPR-T | SOPR-T-main/d3rlpy-master/tests/models/test_encoders.py | import pytest
from d3rlpy.models.encoders import (
DefaultEncoderFactory,
DenseEncoderFactory,
PixelEncoderFactory,
VectorEncoderFactory,
create_encoder_factory,
)
from d3rlpy.models.torch.encoders import (
PixelEncoder,
PixelEncoderWithAction,
VectorEncoder,
VectorEncoderWithAction... | 4,478 | 31.693431 | 80 | py |
SOPR-T | SOPR-T-main/d3rlpy-master/tests/models/test_optimizers.py | import pytest
import torch
from torch.optim import SGD, Adam, RMSprop
from d3rlpy.models.optimizers import (
AdamFactory,
OptimizerFactory,
RMSpropFactory,
SGDFactory,
)
@pytest.mark.parametrize("lr", [1e-4])
@pytest.mark.parametrize("module", [torch.nn.Linear(2, 3)])
def test_optimizer_factory(lr, m... | 1,961 | 26.633803 | 79 | py |
SOPR-T | SOPR-T-main/d3rlpy-master/tests/models/torch/test_dynamics.py | import pytest
import torch
from d3rlpy.models.encoders import DefaultEncoderFactory
from d3rlpy.models.torch.dynamics import (
ProbabilisticDynamicsModel,
ProbabilisticEnsembleDynamicsModel,
_compute_ensemble_variance,
)
from .model_test import DummyEncoder, check_parameter_updates
@pytest.mark.parametr... | 4,018 | 35.207207 | 77 | py |
SOPR-T | SOPR-T-main/d3rlpy-master/tests/models/torch/test_v_functions.py | import pytest
import torch
import torch.nn.functional as F
from d3rlpy.models.torch.v_functions import ValueFunction
from .model_test import DummyEncoder, check_parameter_updates
@pytest.mark.parametrize("feature_size", [100])
@pytest.mark.parametrize("batch_size", [32])
def test_value_function(feature_size, batch_... | 837 | 23.647059 | 61 | py |
SOPR-T | SOPR-T-main/d3rlpy-master/tests/models/torch/test_q_functions.py | import numpy as np
import pytest
import torch
from d3rlpy.models.builders import create_continuous_q_function
from d3rlpy.models.encoders import DefaultEncoderFactory
from d3rlpy.models.q_functions import MeanQFunctionFactory, QRQFunctionFactory
from d3rlpy.models.torch.q_functions import (
ContinuousFQFQFunction,... | 28,738 | 33.792978 | 80 | py |
SOPR-T | SOPR-T-main/d3rlpy-master/tests/models/torch/test_imitators.py | import pytest
import torch
import torch.nn.functional as F
from d3rlpy.models.encoders import DefaultEncoderFactory
from d3rlpy.models.torch.imitators import (
ConditionalVAE,
DeterministicRegressor,
DiscreteImitator,
ProbablisticRegressor,
)
from .model_test import DummyEncoder, check_parameter_updat... | 3,807 | 32.699115 | 75 | py |
SOPR-T | SOPR-T-main/d3rlpy-master/tests/models/torch/test_parameters.py | import pytest
import torch
from d3rlpy.models.torch.parameters import Parameter
@pytest.mark.parametrize("shape", [(100,)])
def test_parameter(shape):
data = torch.rand(shape)
parameter = Parameter(data)
assert parameter().shape == shape
assert torch.all(parameter() == data)
| 296 | 20.214286 | 52 | py |
SOPR-T | SOPR-T-main/d3rlpy-master/tests/models/torch/test_encoders.py | import pytest
import torch
from d3rlpy.models.torch.encoders import (
PixelEncoder,
PixelEncoderWithAction,
VectorEncoder,
VectorEncoderWithAction,
)
from .model_test import check_parameter_updates
@pytest.mark.parametrize("shapes", [((4, 84, 84), 3136)])
@pytest.mark.parametrize("filters", [[(32, 8... | 6,248 | 28.757143 | 78 | py |
SOPR-T | SOPR-T-main/d3rlpy-master/tests/models/torch/test_policies.py | import copy
import pytest
import torch
from d3rlpy.models.encoders import DefaultEncoderFactory
from d3rlpy.models.torch.policies import (
CategoricalPolicy,
DeterministicPolicy,
DeterministicResidualPolicy,
SquashedNormalPolicy,
)
from .model_test import DummyEncoder, check_parameter_updates
@pyte... | 4,475 | 29.868966 | 77 | py |
SOPR-T | SOPR-T-main/d3rlpy-master/tests/models/torch/model_test.py | import copy
import torch
from torch.optim import SGD
def check_parameter_updates(model, inputs=None, output=None):
model.train()
params_before = copy.deepcopy([p for p in model.parameters()])
optim = SGD(model.parameters(), lr=10.0)
if output is None:
if hasattr(model, "compute_error"):
... | 1,354 | 28.456522 | 76 | py |
SOPR-T | SOPR-T-main/d3rlpy-master/tests/algos/algo_test.py | import os
from unittest.mock import Mock
import gym
import numpy as np
import onnxruntime as ort
import torch
from d3rlpy.algos.torch.base import TorchImplBase
from d3rlpy.datasets import get_cartpole, get_pendulum
from d3rlpy.preprocessing import ActionScaler, Scaler
from tests.base_test import base_tester, base_upd... | 8,795 | 27.102236 | 79 | py |
SOPR-T | SOPR-T-main/d3rlpy-master/tests/algos/torch/test_plas_impl.py | import pytest
from d3rlpy.algos.torch.plas_impl import PLASImpl, PLASWithPerturbationImpl
from d3rlpy.augmentation import DrQPipeline
from d3rlpy.models.encoders import DefaultEncoderFactory
from d3rlpy.models.optimizers import AdamFactory
from d3rlpy.models.q_functions import create_q_func_factory
from tests.algos.al... | 5,518 | 34.837662 | 79 | py |
SOPR-T | SOPR-T-main/d3rlpy-master/tests/algos/torch/test_crr_impl.py | import pytest
from d3rlpy.algos.torch.crr_impl import CRRImpl
from d3rlpy.augmentation import DrQPipeline
from d3rlpy.models.encoders import DefaultEncoderFactory
from d3rlpy.models.optimizers import AdamFactory
from d3rlpy.models.q_functions import create_q_func_factory
from tests.algos.algo_test import (
DummyAc... | 2,764 | 34 | 76 | py |
SOPR-T | SOPR-T-main/d3rlpy-master/tests/algos/torch/test_ddpg_impl.py | import pytest
from d3rlpy.algos.torch.ddpg_impl import DDPGImpl
from d3rlpy.augmentation import DrQPipeline
from d3rlpy.models.encoders import DefaultEncoderFactory
from d3rlpy.models.optimizers import AdamFactory
from d3rlpy.models.q_functions import create_q_func_factory
from tests.algos.algo_test import (
Dummy... | 2,376 | 33.449275 | 79 | py |
SOPR-T | SOPR-T-main/d3rlpy-master/tests/algos/torch/test_sac_impl.py | import pytest
from d3rlpy.algos.torch.sac_impl import DiscreteSACImpl, SACImpl
from d3rlpy.augmentation import DrQPipeline
from d3rlpy.models.encoders import DefaultEncoderFactory
from d3rlpy.models.optimizers import AdamFactory
from d3rlpy.models.q_functions import create_q_func_factory
from tests.algos.algo_test imp... | 4,851 | 35.208955 | 79 | py |
SOPR-T | SOPR-T-main/d3rlpy-master/tests/algos/torch/test_bcq_impl.py | import pytest
import torch
from d3rlpy.algos.torch.bcq_impl import BCQImpl, DiscreteBCQImpl
from d3rlpy.augmentation import DrQPipeline
from d3rlpy.models.encoders import DefaultEncoderFactory
from d3rlpy.models.optimizers import AdamFactory
from d3rlpy.models.q_functions import create_q_func_factory
from tests.algos.... | 5,425 | 33.125786 | 78 | py |
SOPR-T | SOPR-T-main/d3rlpy-master/tests/algos/torch/test_dqn_impl.py | import pytest
from d3rlpy.algos.torch.dqn_impl import DoubleDQNImpl, DQNImpl
from d3rlpy.augmentation import DrQPipeline
from d3rlpy.models.encoders import DefaultEncoderFactory
from d3rlpy.models.optimizers import AdamFactory
from d3rlpy.models.q_functions import create_q_func_factory
from tests.algos.algo_test impor... | 3,220 | 32.905263 | 78 | py |
SOPR-T | SOPR-T-main/d3rlpy-master/tests/algos/torch/test_awac_impl.py | import pytest
from d3rlpy.algos.torch.awac_impl import AWACImpl
from d3rlpy.augmentation import DrQPipeline
from d3rlpy.models.encoders import DefaultEncoderFactory
from d3rlpy.models.optimizers import AdamFactory
from d3rlpy.models.q_functions import create_q_func_factory
from tests.algos.algo_test import (
Dummy... | 2,651 | 33 | 79 | py |
SOPR-T | SOPR-T-main/d3rlpy-master/tests/algos/torch/test_bear_impl.py | import pytest
import torch
from d3rlpy.algos.torch.bear_impl import BEARImpl
from d3rlpy.augmentation import DrQPipeline
from d3rlpy.models.encoders import DefaultEncoderFactory
from d3rlpy.models.optimizers import AdamFactory
from d3rlpy.models.q_functions import create_q_func_factory
from tests.algos.algo_test impor... | 4,131 | 34.316239 | 79 | py |
SOPR-T | SOPR-T-main/d3rlpy-master/tests/algos/torch/test_awr_impl.py | import pytest
from d3rlpy.algos.torch.awr_impl import AWRImpl, DiscreteAWRImpl
from d3rlpy.augmentation import DrQPipeline
from d3rlpy.models.encoders import DefaultEncoderFactory
from d3rlpy.models.optimizers import AdamFactory
from tests.algos.algo_test import (
DummyActionScaler,
DummyScaler,
torch_impl... | 3,114 | 34.397727 | 70 | py |
SOPR-T | SOPR-T-main/d3rlpy-master/tests/algos/torch/test_td3_impl.py | import pytest
from d3rlpy.algos.torch.td3_impl import TD3Impl
from d3rlpy.augmentation import DrQPipeline
from d3rlpy.models.encoders import DefaultEncoderFactory
from d3rlpy.models.optimizers import AdamFactory
from d3rlpy.models.q_functions import create_q_func_factory
from tests.algos.algo_test import (
DummyAc... | 2,650 | 34.346667 | 79 | py |
SOPR-T | SOPR-T-main/d3rlpy-master/tests/algos/torch/test_cql_impl.py | import pytest
from d3rlpy.algos.torch.cql_impl import CQLImpl, DiscreteCQLImpl
from d3rlpy.augmentation import DrQPipeline
from d3rlpy.models.encoders import DefaultEncoderFactory
from d3rlpy.models.optimizers import AdamFactory
from d3rlpy.models.q_functions import create_q_func_factory
from tests.algos.algo_test imp... | 4,933 | 34.496403 | 79 | py |
SOPR-T | SOPR-T-main/d3rlpy-master/tests/algos/torch/test_bc_impl.py | import pytest
from d3rlpy.algos.torch.bc_impl import BCImpl, DiscreteBCImpl
from d3rlpy.augmentation import DrQPipeline
from d3rlpy.models.encoders import DefaultEncoderFactory
from d3rlpy.models.optimizers import AdamFactory
from tests.algos.algo_test import (
DummyActionScaler,
DummyScaler,
torch_impl_te... | 2,378 | 30.302632 | 70 | py |
SOPR-T | SOPR-T-main/d3rlpy-master/tests/augmentation/test_image.py | import pytest
import torch
from d3rlpy.augmentation import create_augmentation
from d3rlpy.augmentation.image import (
ColorJitter,
Cutout,
HorizontalFlip,
Intensity,
RandomRotation,
RandomShift,
VerticalFlip,
)
@pytest.mark.parametrize(
"augmentation_type",
[
"random_shif... | 5,149 | 30.402439 | 72 | py |
SOPR-T | SOPR-T-main/d3rlpy-master/tests/augmentation/test_pipeline.py | from unittest.mock import Mock
import pytest
import torch
from d3rlpy.augmentation.base import Augmentation
from d3rlpy.augmentation.pipeline import DrQPipeline
class DummyAugmentation(Augmentation):
def transform(self, x):
return x
def get_type(self):
return "dummy"
def get_params(sel... | 1,479 | 26.924528 | 76 | py |
SOPR-T | SOPR-T-main/d3rlpy-master/tests/augmentation/test_vector.py | import pytest
import torch
from d3rlpy.augmentation import create_augmentation
from d3rlpy.augmentation.vector import (
MultipleAmplitudeScaling,
SingleAmplitudeScaling,
)
@pytest.mark.parametrize(
"augmentation_type",
["single_amplitude_scaling", "multiple_amplitude_scaling"],
)
def test_create_augm... | 1,947 | 30.934426 | 66 | py |
SOPR-T | SOPR-T-main/d3rlpy-master/tests/preprocessing/test_scalers.py | import gym
import numpy as np
import pytest
import torch
from d3rlpy.dataset import Episode, MDPDataset
from d3rlpy.preprocessing import (
MinMaxScaler,
PixelScaler,
StandardScaler,
create_scaler,
)
@pytest.mark.parametrize("scaler_type", ["pixel", "min_max", "standard"])
def test_create_scaler(scale... | 4,951 | 28.652695 | 77 | py |
SOPR-T | SOPR-T-main/d3rlpy-master/tests/preprocessing/test_action_scalers.py | import gym
import numpy as np
import pytest
import torch
from d3rlpy.dataset import Episode, MDPDataset
from d3rlpy.preprocessing import MinMaxActionScaler, create_action_scaler
@pytest.mark.parametrize("scaler_type", ["min_max"])
def test_create_action_scaler(scaler_type):
scaler = create_action_scaler(scaler_t... | 2,725 | 29.629213 | 77 | py |
SOPR-T | SOPR-T-main/d3rlpy-master/docs/conf.py | # Configuration file for the Sphinx documentation builder.
#
# This file only contains a selection of the most common options. For a full
# list see the documentation:
# https://www.sphinx-doc.org/en/master/usage/configuration.html
# -- Path setup --------------------------------------------------------------
# If ex... | 2,812 | 30.255556 | 79 | py |
SOPR-T | SOPR-T-main/d3rlpy-master/d3rlpy/cli.py | # pylint: disable=redefined-builtin,exec-used
import glob
import json
import os
from typing import TYPE_CHECKING, Any, Dict, List, Optional, Sequence, Tuple
import click
import gym
import numpy as np
from scipy.ndimage.filters import uniform_filter1d
from . import algos
from ._version import __version__
from .envs i... | 9,798 | 27.73607 | 79 | py |
SOPR-T | SOPR-T-main/d3rlpy-master/d3rlpy/torch_utility.py | from inspect import signature
from typing import Any, Callable, Dict, List, Optional
import numpy as np
import torch
import torch.nn as nn
from torch.utils.data._utils.collate import default_collate
from typing_extensions import Protocol
from .augmentation import AugmentationPipeline
from .preprocessing import Action... | 6,554 | 29.488372 | 80 | py |
SOPR-T | SOPR-T-main/d3rlpy-master/d3rlpy/__init__.py | import random
import numpy as np
import torch
from . import (
algos,
augmentation,
dataset,
datasets,
dynamics,
envs,
metrics,
models,
online,
ope,
preprocessing,
wrappers,
)
from ._version import __version__
def seed(n: int) -> None:
"""Sets random seed value.
... | 509 | 13.571429 | 45 | py |
SOPR-T | SOPR-T-main/d3rlpy-master/d3rlpy/ope/fqe.py | from typing import Any, List, Optional, Sequence, Union
import numpy as np
from ..algos import AlgoBase
from ..argument_utility import (
ActionScalerArg,
EncoderArg,
QFuncArg,
ScalerArg,
UseGPUArg,
check_encoder,
check_q_func,
check_use_gpu,
)
from ..constants import ALGO_NOT_GIVEN_ERR... | 8,680 | 35.322176 | 77 | py |
SOPR-T | SOPR-T-main/d3rlpy-master/d3rlpy/ope/torch/fqe_impl.py | import copy
from abc import abstractmethod
from typing import Optional, Sequence
import numpy as np
import torch
from torch.optim import Optimizer
from ...algos.torch.base import TorchImplBase
from ...algos.torch.utility import (
ContinuousQFunctionMixin,
DiscreteQFunctionMixin,
)
from ...augmentation import ... | 5,622 | 27.39899 | 80 | py |
SOPR-T | SOPR-T-main/d3rlpy-master/d3rlpy/dynamics/probabilistic_ensemble_dynamics.py | from typing import Any, List, Optional, Sequence
from ..argument_utility import (
ActionScalerArg,
EncoderArg,
ScalerArg,
UseGPUArg,
check_encoder,
check_use_gpu,
)
from ..constants import IMPL_NOT_INITIALIZED_ERROR
from ..dataset import TransitionMiniBatch
from ..gpu import Device
from ..model... | 4,965 | 34.219858 | 77 | py |
SOPR-T | SOPR-T-main/d3rlpy-master/d3rlpy/dynamics/torch/base.py | from abc import abstractmethod
from typing import Optional, Sequence, Tuple
import numpy as np
import torch
from ...gpu import Device
from ...preprocessing import ActionScaler, Scaler
from ...torch_utility import (
eval_api,
get_state_dict,
map_location,
set_state_dict,
to_cpu,
to_cuda,
to... | 2,763 | 25.32381 | 77 | py |
SOPR-T | SOPR-T-main/d3rlpy-master/d3rlpy/dynamics/torch/probabilistic_ensemble_dynamics_impl.py | from typing import Optional, Sequence, Tuple
import numpy as np
import torch
from torch.optim import Optimizer
from ...gpu import Device
from ...models.builders import create_probabilistic_ensemble_dynamics_model
from ...models.encoders import EncoderFactory
from ...models.optimizers import OptimizerFactory
from ...m... | 3,599 | 29.252101 | 79 | py |
SOPR-T | SOPR-T-main/d3rlpy-master/d3rlpy/models/optimizers.py | import copy
from typing import Any, Dict, Iterable, Tuple, Type, Union, cast
import torch.nn as nn
import torch.optim as optim
from torch.optim import SGD, Adam, Optimizer, RMSprop
from ..decorators import pretty_repr
@pretty_repr
class OptimizerFactory:
"""A factory class that creates an optimizer object in a ... | 4,599 | 24.842697 | 78 | py |
SOPR-T | SOPR-T-main/d3rlpy-master/d3rlpy/models/q_functions.py | from typing import Any, ClassVar, Dict, Type
from ..decorators import pretty_repr
from .torch import (
ContinuousFQFQFunction,
ContinuousIQNQFunction,
ContinuousMeanQFunction,
ContinuousQFunction,
ContinuousQRQFunction,
DiscreteFQFQFunction,
DiscreteIQNQFunction,
DiscreteMeanQFunction,
... | 10,506 | 26.870027 | 78 | py |
SOPR-T | SOPR-T-main/d3rlpy-master/d3rlpy/models/builders.py | from typing import Sequence, cast
import torch
import torch.nn as nn
from .encoders import EncoderFactory
from .q_functions import QFunctionFactory
from .torch import (
CategoricalPolicy,
ConditionalVAE,
DeterministicPolicy,
DeterministicRegressor,
DeterministicResidualPolicy,
DiscreteImitator... | 5,952 | 29.528205 | 80 | py |
SOPR-T | SOPR-T-main/d3rlpy-master/d3rlpy/models/encoders.py | import copy
from typing import (
Any,
Callable,
ClassVar,
Dict,
List,
Optional,
Sequence,
Type,
Union,
)
import torch
from ..decorators import pretty_repr
from .torch import (
Encoder,
EncoderWithAction,
PixelEncoder,
PixelEncoderWithAction,
VectorEncoder,
V... | 13,874 | 29.561674 | 76 | py |
SOPR-T | SOPR-T-main/d3rlpy-master/d3rlpy/models/torch/v_functions.py | from typing import cast
import torch
import torch.nn as nn
import torch.nn.functional as F
from .encoders import Encoder
class ValueFunction(nn.Module): # type: ignore
_encoder: Encoder
_fc: nn.Linear
def __init__(self, encoder: Encoder):
super().__init__()
self._encoder = encoder
... | 816 | 24.53125 | 59 | py |
SOPR-T | SOPR-T-main/d3rlpy-master/d3rlpy/models/torch/imitators.py | from abc import ABCMeta, abstractmethod
from typing import Tuple, cast
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.distributions import Normal
from torch.distributions.kl import kl_divergence
from .encoders import Encoder, EncoderWithAction
class ConditionalVAE(nn.Module): # type:... | 5,423 | 30.352601 | 79 | py |
SOPR-T | SOPR-T-main/d3rlpy-master/d3rlpy/models/torch/q_functions.py | import math
from abc import ABCMeta, abstractmethod
from typing import List, Optional, Tuple, Union, cast
import torch
import torch.nn as nn
import torch.nn.functional as F
from .encoders import Encoder, EncoderWithAction
def _pick_value_by_action(
values: torch.Tensor, action: torch.Tensor, keepdim: bool = Fal... | 35,720 | 31.326697 | 80 | py |
SOPR-T | SOPR-T-main/d3rlpy-master/d3rlpy/models/torch/policies.py | import math
from abc import ABCMeta, abstractmethod
from typing import Tuple, Union, cast
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.distributions import Categorical, Normal
from .encoders import Encoder, EncoderWithAction
def squash_action(
dist: torch.distributions.Distribut... | 9,546 | 30.823333 | 126 | py |
SOPR-T | SOPR-T-main/d3rlpy-master/d3rlpy/models/torch/parameters.py | import torch
import torch.nn as nn
class Parameter(nn.Module): # type: ignore
_parameter: nn.Parameter
def __init__(self, data: torch.Tensor):
super().__init__()
self._parameter = nn.Parameter(data)
def forward(self) -> torch.Tensor:
return self._parameter
def __call__(sel... | 461 | 20 | 44 | py |
SOPR-T | SOPR-T-main/d3rlpy-master/d3rlpy/models/torch/dynamics.py | from typing import List, Optional, Tuple, cast
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.distributions import Normal
from torch.nn.utils import spectral_norm
from .encoders import EncoderWithAction
def _compute_ensemble_variance(
observations: torch.Tensor,
rewards: torch... | 7,576 | 32.526549 | 78 | py |
SOPR-T | SOPR-T-main/d3rlpy-master/d3rlpy/models/torch/encoders.py | from abc import ABCMeta, abstractmethod
from typing import Callable, List, Optional, Sequence
import torch
import torch.nn as nn
import torch.nn.functional as F
class Encoder(metaclass=ABCMeta):
@abstractmethod
def forward(self, x: torch.Tensor) -> torch.Tensor:
pass
@abstractmethod
def get_... | 10,131 | 30.368421 | 79 | py |
SOPR-T | SOPR-T-main/d3rlpy-master/d3rlpy/algos/crr.py | from typing import Any, List, Optional, Sequence
from ..argument_utility import (
ActionScalerArg,
AugmentationArg,
EncoderArg,
QFuncArg,
ScalerArg,
UseGPUArg,
check_augmentation,
check_encoder,
check_q_func,
check_use_gpu,
)
from ..augmentation import AugmentationPipeline
from ... | 9,184 | 36.03629 | 79 | py |
SOPR-T | SOPR-T-main/d3rlpy-master/d3rlpy/algos/base.py | from abc import abstractmethod
from typing import Any, List, Optional, Tuple, Union
import gym
import numpy as np
from ..base import ImplBase, LearnableBase
from ..constants import IMPL_NOT_INITIALIZED_ERROR
from ..envs import BatchEnv
from ..online.buffers import (
BatchBuffer,
BatchReplayBuffer,
Buffer,... | 11,216 | 34.72293 | 101 | py |
SOPR-T | SOPR-T-main/d3rlpy-master/d3rlpy/algos/sac.py | from typing import Any, List, Optional, Sequence
from ..argument_utility import (
ActionScalerArg,
AugmentationArg,
EncoderArg,
QFuncArg,
ScalerArg,
UseGPUArg,
check_augmentation,
check_encoder,
check_q_func,
check_use_gpu,
)
from ..augmentation import AugmentationPipeline
from ... | 16,911 | 38.421911 | 80 | py |
SOPR-T | SOPR-T-main/d3rlpy-master/d3rlpy/algos/ddpg.py | from typing import Any, List, Optional, Sequence
from ..argument_utility import (
ActionScalerArg,
AugmentationArg,
EncoderArg,
QFuncArg,
ScalerArg,
UseGPUArg,
check_augmentation,
check_encoder,
check_q_func,
check_use_gpu,
)
from ..augmentation import AugmentationPipeline
from ... | 7,574 | 37.257576 | 88 | py |
SOPR-T | SOPR-T-main/d3rlpy-master/d3rlpy/algos/td3.py | from typing import Any, List, Optional, Sequence
from ..argument_utility import (
ActionScalerArg,
AugmentationArg,
EncoderArg,
QFuncArg,
ScalerArg,
UseGPUArg,
check_augmentation,
check_encoder,
check_q_func,
check_use_gpu,
)
from ..augmentation import AugmentationPipeline
from ... | 8,656 | 39.265116 | 79 | py |
SOPR-T | SOPR-T-main/d3rlpy-master/d3rlpy/algos/plas.py | from typing import Any, List, Optional, Sequence
from ..argument_utility import (
ActionScalerArg,
AugmentationArg,
EncoderArg,
QFuncArg,
ScalerArg,
UseGPUArg,
check_augmentation,
check_encoder,
check_q_func,
check_use_gpu,
)
from ..augmentation import AugmentationPipeline
from ... | 16,167 | 41.435696 | 80 | py |
SOPR-T | SOPR-T-main/d3rlpy-master/d3rlpy/algos/dqn.py | from typing import Any, List, Optional, Sequence
from ..argument_utility import (
AugmentationArg,
EncoderArg,
QFuncArg,
ScalerArg,
UseGPUArg,
check_augmentation,
check_encoder,
check_q_func,
check_use_gpu,
)
from ..augmentation import AugmentationPipeline
from ..constants import IM... | 8,446 | 36.048246 | 78 | py |
SOPR-T | SOPR-T-main/d3rlpy-master/d3rlpy/algos/bear.py | from typing import Any, List, Optional, Sequence
from ..argument_utility import (
ActionScalerArg,
AugmentationArg,
EncoderArg,
QFuncArg,
ScalerArg,
UseGPUArg,
check_augmentation,
check_encoder,
check_q_func,
check_use_gpu,
)
from ..augmentation import AugmentationPipeline
from ... | 12,637 | 38.126935 | 80 | py |
SOPR-T | SOPR-T-main/d3rlpy-master/d3rlpy/algos/awr.py | from typing import Any, List, Optional, Sequence, Union
import numpy as np
from ..argument_utility import (
ActionScalerArg,
AugmentationArg,
EncoderArg,
ScalerArg,
UseGPUArg,
check_augmentation,
check_encoder,
check_use_gpu,
)
from ..augmentation import AugmentationPipeline
from ..con... | 13,716 | 38.191429 | 80 | py |
SOPR-T | SOPR-T-main/d3rlpy-master/d3rlpy/algos/bc.py | from typing import Any, List, Optional, Sequence, Union
import numpy as np
from ..argument_utility import (
ActionScalerArg,
AugmentationArg,
EncoderArg,
ScalerArg,
UseGPUArg,
check_augmentation,
check_encoder,
check_use_gpu,
)
from ..augmentation import AugmentationPipeline
from ..con... | 7,647 | 32.991111 | 79 | py |
SOPR-T | SOPR-T-main/d3rlpy-master/d3rlpy/algos/mopo.py | from typing import Any, List, Optional, Sequence, Tuple, cast
import numpy as np
from ..argument_utility import (
ActionScalerArg,
AugmentationArg,
EncoderArg,
QFuncArg,
ScalerArg,
UseGPUArg,
check_augmentation,
check_encoder,
check_q_func,
check_use_gpu,
)
from ..augmentation ... | 13,447 | 38.669617 | 78 | py |
SOPR-T | SOPR-T-main/d3rlpy-master/d3rlpy/algos/cql.py | from typing import Any, List, Optional, Sequence
from ..argument_utility import (
ActionScalerArg,
AugmentationArg,
EncoderArg,
QFuncArg,
ScalerArg,
UseGPUArg,
check_augmentation,
check_encoder,
check_q_func,
check_use_gpu,
)
from ..augmentation import AugmentationPipeline
from ... | 14,738 | 39.160763 | 79 | py |
SOPR-T | SOPR-T-main/d3rlpy-master/d3rlpy/algos/bcq.py | from typing import Any, List, Optional, Sequence, Union
import numpy as np
from ..argument_utility import (
ActionScalerArg,
AugmentationArg,
EncoderArg,
QFuncArg,
ScalerArg,
UseGPUArg,
check_augmentation,
check_encoder,
check_q_func,
check_use_gpu,
)
from ..augmentation import... | 18,282 | 37.653277 | 80 | py |
SOPR-T | SOPR-T-main/d3rlpy-master/d3rlpy/algos/awac.py | from typing import Any, List, Optional, Sequence
from ..argument_utility import (
ActionScalerArg,
AugmentationArg,
EncoderArg,
QFuncArg,
ScalerArg,
UseGPUArg,
check_augmentation,
check_encoder,
check_q_func,
check_use_gpu,
)
from ..augmentation import AugmentationPipeline
from ... | 8,441 | 38.083333 | 79 | py |
SOPR-T | SOPR-T-main/d3rlpy-master/d3rlpy/algos/torch/base.py | from typing import Optional, Sequence
import numpy as np
import torch
from ...augmentation import AugmentationPipeline
from ...gpu import Device
from ...preprocessing import ActionScaler, Scaler
from ...torch_utility import (
eval_api,
freeze,
get_state_dict,
map_location,
set_state_dict,
to_c... | 4,346 | 27.227273 | 77 | py |
SOPR-T | SOPR-T-main/d3rlpy-master/d3rlpy/algos/torch/utility.py | from typing import Optional, Tuple, Union
import numpy as np
import torch
from typing_extensions import Protocol
from ...models.torch import (
EnsembleContinuousQFunction,
EnsembleDiscreteQFunction,
)
from ...torch_utility import eval_api, torch_api
class _DiscreteQFunctionProtocol(Protocol):
_q_func: O... | 2,153 | 26.974026 | 77 | py |
SOPR-T | SOPR-T-main/d3rlpy-master/d3rlpy/algos/torch/cql_impl.py | import math
from typing import Optional, Sequence
import numpy as np
import torch
import torch.nn.functional as F
from torch.optim import Optimizer
from ...augmentation import AugmentationPipeline
from ...gpu import Device
from ...models.builders import create_parameter
from ...models.encoders import EncoderFactory
f... | 9,199 | 34.797665 | 80 | py |
SOPR-T | SOPR-T-main/d3rlpy-master/d3rlpy/algos/torch/dqn_impl.py | import copy
from typing import Optional, Sequence
import numpy as np
import torch
from torch.optim import Optimizer
from ...augmentation import AugmentationPipeline
from ...gpu import Device
from ...models.builders import create_discrete_q_function
from ...models.encoders import EncoderFactory
from ...models.optimize... | 5,852 | 29.484375 | 78 | py |
SOPR-T | SOPR-T-main/d3rlpy-master/d3rlpy/algos/torch/awac_impl.py | # pylint: disable=arguments-differ
from typing import Optional, Sequence
import numpy as np
import torch
import torch.nn.functional as F
from ...augmentation import AugmentationPipeline
from ...gpu import Device
from ...models.builders import create_squashed_normal_policy
from ...models.encoders import EncoderFactor... | 5,979 | 33.171429 | 75 | py |
SOPR-T | SOPR-T-main/d3rlpy-master/d3rlpy/algos/torch/awr_impl.py | from abc import ABCMeta, abstractmethod
from typing import Any, Optional, Sequence
import numpy as np
import torch
from torch.optim import Optimizer
from ...augmentation import AugmentationPipeline
from ...gpu import Device
from ...models.builders import (
create_categorical_policy,
create_squashed_normal_pol... | 7,155 | 28.941423 | 80 | py |
SOPR-T | SOPR-T-main/d3rlpy-master/d3rlpy/algos/torch/bc_impl.py | from abc import ABCMeta, abstractmethod
from typing import Optional, Sequence
import numpy as np
import torch
from torch.optim import Optimizer
from ...augmentation import AugmentationPipeline
from ...gpu import Device
from ...models.builders import (
create_deterministic_regressor,
create_discrete_imitator,
... | 4,847 | 28.204819 | 79 | py |
SOPR-T | SOPR-T-main/d3rlpy-master/d3rlpy/algos/torch/bear_impl.py | import math
from typing import Optional, Sequence
import numpy as np
import torch
from torch.optim import Optimizer
from ...augmentation import AugmentationPipeline
from ...gpu import Device
from ...models.builders import create_parameter, create_probablistic_regressor
from ...models.encoders import EncoderFactory
fr... | 10,206 | 33.717687 | 80 | py |
SOPR-T | SOPR-T-main/d3rlpy-master/d3rlpy/algos/torch/plas_impl.py | import copy
from typing import Optional, Sequence
import numpy as np
import torch
from torch.optim import Optimizer
from ...augmentation import AugmentationPipeline
from ...gpu import Device
from ...models.builders import (
create_conditional_vae,
create_deterministic_policy,
create_deterministic_residual... | 10,641 | 35.197279 | 79 | py |
SOPR-T | SOPR-T-main/d3rlpy-master/d3rlpy/algos/torch/bcq_impl.py | import math
from typing import Optional, Sequence, cast
import numpy as np
import torch
from torch.optim import Optimizer
from ...augmentation import AugmentationPipeline
from ...gpu import Device
from ...models.builders import (
create_conditional_vae,
create_deterministic_residual_policy,
create_discret... | 12,014 | 34.865672 | 78 | py |
SOPR-T | SOPR-T-main/d3rlpy-master/d3rlpy/algos/torch/ddpg_impl.py | import copy
from abc import ABCMeta, abstractmethod
from typing import Optional, Sequence
import numpy as np
import torch
from torch.optim import Optimizer
from ...augmentation import AugmentationPipeline
from ...gpu import Device
from ...models.builders import (
create_continuous_q_function,
create_determini... | 8,887 | 30.185965 | 79 | py |
SOPR-T | SOPR-T-main/d3rlpy-master/d3rlpy/algos/torch/td3_impl.py | from typing import Optional, Sequence
import torch
from ...augmentation import AugmentationPipeline
from ...gpu import Device
from ...models.encoders import EncoderFactory
from ...models.optimizers import OptimizerFactory
from ...models.q_functions import QFunctionFactory
from ...preprocessing import ActionScaler, Sc... | 2,955 | 35.493827 | 73 | py |
SOPR-T | SOPR-T-main/d3rlpy-master/d3rlpy/algos/torch/sac_impl.py | import copy
import math
from typing import Optional, Sequence, Tuple
import numpy as np
import torch
from torch.optim import Optimizer
from ...augmentation import AugmentationPipeline
from ...gpu import Device
from ...models.builders import (
create_categorical_policy,
create_discrete_q_function,
create_p... | 14,607 | 32.736721 | 80 | py |
SOPR-T | SOPR-T-main/d3rlpy-master/d3rlpy/algos/torch/crr_impl.py | # pylint: disable=arguments-differ
from typing import Optional, Sequence
import numpy as np
import torch
import torch.nn.functional as F
from ...augmentation import AugmentationPipeline
from ...gpu import Device
from ...models.builders import create_squashed_normal_policy
from ...models.encoders import EncoderFactor... | 8,199 | 34.652174 | 79 | py |
SOPR-T | SOPR-T-main/d3rlpy-master/d3rlpy/augmentation/base.py | from typing import Any, ClassVar, Dict
import torch
from ..decorators import pretty_repr
@pretty_repr
class Augmentation:
TYPE: ClassVar[str] = "none"
def transform(self, x: torch.Tensor) -> torch.Tensor:
"""Returns augmented observation.
Args:
x: observation.
Returns... | 830 | 17.466667 | 63 | py |
SOPR-T | SOPR-T-main/d3rlpy-master/d3rlpy/augmentation/image.py | from typing import Any, ClassVar, Dict, Optional, Tuple, cast
import kornia.augmentation as aug
import numpy as np
import torch
import torch.nn as nn
from kornia.color.hsv import hsv_to_rgb, rgb_to_hsv
from .base import Augmentation
class RandomShift(Augmentation):
"""Random shift augmentation.
References:... | 9,644 | 30.012862 | 77 | py |
SOPR-T | SOPR-T-main/d3rlpy-master/d3rlpy/augmentation/vector.py | from typing import Any, ClassVar, Dict
import torch
from .base import Augmentation
class SingleAmplitudeScaling(Augmentation):
r"""Single Amplitude Scaling augmentation.
.. math::
x' = x + z
where :math:`z \sim \text{Unif}(minimum, maximum)`.
References:
* `Laskin et al., Reinfor... | 1,827 | 25.114286 | 69 | py |
SOPR-T | SOPR-T-main/d3rlpy-master/d3rlpy/augmentation/pipeline.py | from typing import Any, Callable, Dict, List, Optional
import torch
from ..decorators import pretty_repr
from .base import Augmentation
@pretty_repr
class AugmentationPipeline:
_augmentations: List[Augmentation]
def __init__(self, augmentations: List[Augmentation]):
self._augmentations = augmentati... | 3,573 | 24.528571 | 77 | py |
SOPR-T | SOPR-T-main/d3rlpy-master/d3rlpy/preprocessing/action_scalers.py | from typing import Any, ClassVar, Dict, List, Optional, Type
import gym
import numpy as np
import torch
from ..dataset import Episode, MDPDataset
from ..decorators import pretty_repr
@pretty_repr
class ActionScaler:
TYPE: ClassVar[str] = "none"
def fit(self, episodes: List[Episode]) -> None:
"""Est... | 6,809 | 27.493724 | 78 | py |
SOPR-T | SOPR-T-main/d3rlpy-master/d3rlpy/preprocessing/scalers.py | from typing import Any, ClassVar, Dict, List, Optional, Type
import gym
import numpy as np
import torch
from ..dataset import Episode, MDPDataset
from ..decorators import pretty_repr
@pretty_repr
class Scaler:
TYPE: ClassVar[str] = "none"
def fit(self, episodes: List[Episode]) -> None:
"""Estimate... | 11,151 | 27.161616 | 77 | py |
patents-public-data | patents-public-data-master/models/landscaping/model.py | # Copyright 2017 Google Inc.
#
# 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 agreed to in writing,... | 8,101 | 38.330097 | 108 | py |
patents-public-data | patents-public-data-master/models/landscaping/tokenizer.py | # Copyright 2017 Google Inc.
#
# 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 agreed to in writing,... | 3,196 | 29.740385 | 120 | py |
patents-public-data | patents-public-data-master/models/landscaping/keras_metrics.py | # Copyright 2017 Google Inc.
#
# 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 agreed to in writing,... | 3,120 | 40.065789 | 79 | py |
patents-public-data | patents-public-data-master/models/landscaping/train_data.py | # Copyright 2017 Google Inc.
#
# 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 agreed to in writing,... | 7,282 | 36.348718 | 124 | py |
multi-label-ood | multi-label-ood-master/fine_tune.py | import torch
import argparse
import numpy as np
import torch.nn as nn
from torch.autograd import Variable
from torch.utils import data
import torchvision
from utils.anom_utils import ToLabel
from model.classifiersimple import *
from utils.dataloader.pascal_voc_loader import *
from utils.dataloader.nus_wide_loader impor... | 20,948 | 45.245033 | 133 | py |
multi-label-ood | multi-label-ood-master/validate.py | import torch
import argparse
import torchvision
import numpy as np
from sklearn import metrics
import torch.nn as nn
from torch.autograd import Variable
from torch.utils import data
from utils.dataloader.coco_loader import *
from utils.dataloader.nus_wide_loader import *
from utils.dataloader.pascal_voc_loader import ... | 4,624 | 38.529915 | 98 | py |
multi-label-ood | multi-label-ood-master/lib.py | import os
import torch
import torch.nn as nn
import numpy as np
import time
import torch.nn.functional as F
from torch.autograd import Variable
to_np = lambda x: x.data.cpu().numpy()
def get_odin_scores(loader, model, clsfier, method, T, noise):
## get logits
bceloss = nn.BCEWithLogitsLoss(reduction="none")
... | 13,634 | 37.516949 | 117 | py |
multi-label-ood | multi-label-ood-master/eval.py | import torch
import argparse
import torchvision
import lib
import numpy as np
import torch.nn as nn
from torch.autograd import Variable
from torch.utils import data
from model.classifiersimple import *
from utils.dataloader.pascal_voc_loader import *
from utils.dataloader.nus_wide_loader import *
from utils.dataloader.... | 9,185 | 47.861702 | 122 | py |
multi-label-ood | multi-label-ood-master/train.py | import os
import torch
import argparse
import torchvision
import torch.nn as nn
from torch.autograd import Variable
from torch.utils import data
import validate
from utils.dataloader.pascal_voc_loader import *
from utils.dataloader.nus_wide_loader import *
from utils.dataloader.coco_loader import *
from utils.anom_uti... | 6,065 | 41.71831 | 135 | py |
multi-label-ood | multi-label-ood-master/utils/anom_utils.py | import numpy as np
import torch.nn as nn
import sklearn.metrics as sk
import sklearn.neighbors
import sklearn.ensemble
import time
import torch
from torch.autograd import Variable
import os.path
recall_level_default = 0.95
class ToLabel(object):
def __call__(self, inputs):
return (torch.from_numpy(np.arr... | 4,956 | 35.448529 | 109 | py |
multi-label-ood | multi-label-ood-master/utils/dataloader/pascal_voc_loader.py | import os
import collections
import json
import numpy as np
from PIL import Image
import collections
import torch
import torchvision
from torch.utils import data
import random
from scipy.io import loadmat
class pascalVOCLoader(data.Dataset):
def __init__(self,root='./datasets/pascal/', split="voc12-train", im... | 1,480 | 23.683333 | 112 | py |
multi-label-ood | multi-label-ood-master/utils/dataloader/coco_loader.py | import os
import collections
import json
import os.path as osp
import numpy as np
from PIL import Image
import collections
import torch
import torchvision
from torch.utils import data
from tqdm import tqdm
from torch.utils import data
import random
from scipy.io import loadmat
class cocoloader(data.Dataset):
... | 2,053 | 26.026316 | 120 | py |
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