Search is not available for this dataset
repo stringlengths 2 152 ⌀ | file stringlengths 15 239 | code stringlengths 0 58.4M | file_length int64 0 58.4M | avg_line_length float64 0 1.81M | max_line_length int64 0 12.7M | extension_type stringclasses 364
values |
|---|---|---|---|---|---|---|
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/models/mlp_merge_model.py | """MLP Merge Model.
A model composed only of a multi-layer perceptron (MLP), which maps
real-valued inputs to real-valued outputs. This model is called an
MLP Merge Model because it takes two inputs and concatenates the second
input with the layer at a specified index. It can be merged with any layer
from the input la... | 4,968 | 41.836207 | 78 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/models/mlp_model.py | """MLP Model.
A model composed only of a multi-layer perceptron (MLP), which maps
real-valued inputs to real-valued outputs.
"""
import tensorflow as tf
from garage.experiment import deterministic
from garage.tf.models.mlp import mlp
from garage.tf.models.model import Model
class MLPModel(Model):
"""MLP Model.
... | 3,904 | 40.542553 | 78 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/models/model.py | """Base model classes."""
import abc
from collections import namedtuple
import warnings
import tensorflow as tf
class BaseModel(abc.ABC):
"""Interface-only abstract class for models.
A Model contains the structure/configuration of a set of computation
graphs, or can be understood as a set of networks. U... | 14,453 | 30.907285 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/models/module.py | """Interface for primitives which build on top of models."""
import abc
import tensorflow as tf
from garage.misc.tensor_utils import flatten_tensors, unflatten_tensors
class Module(abc.ABC):
"""A module that builds on top of model.
Args:
name (str): Module name, also the variable scope.
"""
... | 4,847 | 25.347826 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/models/normalized_input_mlp_model.py | """NormalizedInputMLPModel."""
import numpy as np
import tensorflow as tf
from garage.experiment import deterministic
from garage.tf.models.mlp_model import MLPModel
class NormalizedInputMLPModel(MLPModel):
"""NormalizedInputMLPModel based on garage.tf.models.Model class.
This class normalized the inputs an... | 4,573 | 40.207207 | 78 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/models/parameter.py | """Parameter layer in TensorFlow."""
import tensorflow as tf
def parameter(input_var,
length,
initializer=tf.zeros_initializer(),
dtype=tf.float32,
trainable=True,
name='parameter'):
"""Parameter layer.
Used as layer that could be broadca... | 3,651 | 39.577778 | 75 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/models/sequential.py | """Sequential Model.
A model composed of one or more models which are connected sequential,
according to the insertion order.
"""
from garage.tf.models.model import Model
class Sequential(Model):
"""Sequential Model.
Args:
name (str): Model name, also the variable scope.
models (list[garage.... | 2,332 | 25.213483 | 73 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/optimizers/__init__.py | from garage.tf.optimizers.conjugate_gradient_optimizer import (
ConjugateGradientOptimizer)
from garage.tf.optimizers.conjugate_gradient_optimizer import (
FiniteDifferenceHvp)
from garage.tf.optimizers.first_order_optimizer import FirstOrderOptimizer
from garage.tf.optimizers.lbfgs_optimizer import LbfgsOptimi... | 544 | 40.923077 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/optimizers/conjugate_gradient_optimizer.py | """Conjugate Gradient Optimizer.
Computes the decent direction using the conjugate gradient method, and then
computes the optimal step size that will satisfy the KL divergence constraint.
Finally, it performs a backtracking line search to optimize the objective.
"""
import abc
from dowel import logger
import numpy a... | 21,821 | 38.107527 | 109 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/optimizers/first_order_optimizer.py | """First order optimizer."""
import time
import click
from dowel import logger
import tensorflow as tf
from garage import _Default, make_optimizer
from garage.np.optimizers import BatchDataset
from garage.tf.misc import tensor_utils
from garage.tf.optimizers.utils import LazyDict
class FirstOrderOptimizer:
"""F... | 7,062 | 33.286408 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/optimizers/lbfgs_optimizer.py | """Limited-memory BFGS (L-BFGS) optimizer."""
import time
import scipy.optimize
import tensorflow as tf
from garage.tf.misc import tensor_utils
from garage.tf.optimizers.utils import LazyDict
class LbfgsOptimizer:
"""Limited-memory BFGS (L-BFGS) optimizer.
Performs unconstrained optimization via L-BFGS.
... | 5,520 | 30.016854 | 77 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/optimizers/penalty_lbfgs_optimizer.py | """Penalized Limited-memory BFGS (L-BFGS) optimizer."""
from dowel import logger
import numpy as np
import scipy.optimize
import tensorflow as tf
from garage.tf.misc import tensor_utils
from garage.tf.optimizers.utils import LazyDict
class PenaltyLbfgsOptimizer:
"""Penalized Limited-memory BFGS (L-BFGS) optimize... | 10,585 | 36.672598 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/optimizers/utils.py | """Utilities for TensorFlow optimizers."""
import numpy as np
def sliced_fun(f, n_slices):
"""Divide function f's inputs into several slices.
Evaluate f on those slices, and then average the result. It is useful when
memory is not enough to process all data at once.
Assume:
1. each of f's inputs ... | 2,501 | 33.273973 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/plotter/__init__.py | from garage.tf.plotter.plotter import Plotter
__all__ = ['Plotter']
| 69 | 16.5 | 45 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/plotter/plotter.py | """Renders rollouts of the policy as it trains."""
import atexit
from collections import namedtuple
from enum import Enum
import platform
from queue import Queue
from threading import Thread
import numpy as np
import tensorflow as tf
from garage.sampler.utils import rollout as default_rollout
__all__ = ['Plotter']
... | 5,972 | 34.766467 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/policies/__init__.py | """Policies for TensorFlow-based algorithms."""
from garage.tf.policies.categorical_cnn_policy import CategoricalCNNPolicy
from garage.tf.policies.categorical_gru_policy import CategoricalGRUPolicy
from garage.tf.policies.categorical_lstm_policy import CategoricalLSTMPolicy
from garage.tf.policies.categorical_mlp_polic... | 1,293 | 52.916667 | 76 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/policies/categorical_cnn_policy.py | """Categorical CNN Policy.
A policy represented by a Categorical distribution
which is parameterized by a convolutional neural network (CNN)
followed a multilayer perceptron (MLP).
"""
# pylint: disable=wrong-import-order
import akro
import numpy as np
import tensorflow as tf
from garage.experiment import determinist... | 10,197 | 36.355311 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/policies/categorical_gru_policy.py | """Categorical GRU Policy.
A policy represented by a Categorical distribution
which is parameterized by a Gated Recurrent Unit (GRU).
"""
# pylint: disable=wrong-import-order
import akro
import numpy as np
import tensorflow as tf
from garage.experiment import deterministic
from garage.tf.models import CategoricalGRUM... | 13,151 | 37.568915 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/policies/categorical_lstm_policy.py | """Categorical LSTM Policy.
A policy represented by a Categorical distribution
which is parameterized by a Long short-term memory (LSTM).
"""
# pylint: disable=wrong-import-order
import akro
import numpy as np
import tensorflow as tf
from garage.experiment import deterministic
from garage.tf.models import Categorical... | 15,172 | 39.246684 | 78 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/policies/categorical_mlp_policy.py | """Categorical MLP Policy.
A policy represented by a Categorical distribution
which is parameterized by a multilayer perceptron (MLP).
"""
# pylint: disable=wrong-import-order
import akro
import numpy as np
import tensorflow as tf
from garage.experiment import deterministic
from garage.tf.models import CategoricalMLP... | 8,508 | 33.730612 | 78 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/policies/continuous_mlp_policy.py | """This modules creates a continuous MLP policy network.
A continuous MLP network can be used as policy method in different RL
algorithms. It accepts an observation of the environment and predicts a
continuous action.
"""
import tensorflow as tf
from garage.experiment import deterministic
from garage.tf.models import... | 7,850 | 35.347222 | 78 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/policies/discrete_qf_derived_policy.py | """A Discrete QFunction-derived policy.
This policy chooses the action that yields to the largest Q-value.
"""
import akro
import numpy as np
import tensorflow as tf
from garage.tf.policies.policy import Policy
class DiscreteQfDerivedPolicy(Policy):
"""DiscreteQfDerived policy.
Args:
env_spec (gara... | 4,923 | 27.298851 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/policies/gaussian_gru_policy.py | """Gaussian GRU Policy.
A policy represented by a Gaussian distribution
which is parameterized by a Gated Recurrent Unit (GRU).
"""
# pylint: disable=wrong-import-order
import akro
import numpy as np
import tensorflow as tf
from garage.experiment import deterministic
from garage.tf.models import GaussianGRUModel
from... | 14,761 | 38.365333 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/policies/gaussian_lstm_policy.py | """Gaussian LSTM Policy.
A policy represented by a Gaussian distribution
which is parameterized by a Long short-term memory (LSTM).
"""
# pylint: disable=wrong-import-order
import akro
import numpy as np
import tensorflow as tf
from garage.experiment import deterministic
from garage.tf.models import GaussianLSTMModel... | 16,711 | 39.860636 | 78 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/policies/gaussian_mlp_policy.py | """Gaussian MLP Policy.
A policy represented by a Gaussian distribution
which is parameterized by a multilayer perceptron (MLP).
"""
# pylint: disable=wrong-import-order
import akro
import numpy as np
import tensorflow as tf
from garage.experiment import deterministic
from garage.tf.models import GaussianMLPModel
fro... | 12,090 | 38.003226 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/policies/gaussian_mlp_task_embedding_policy.py | """GaussianMLPTaskEmbeddingPolicy."""
# pylint: disable=wrong-import-order
import akro
import numpy as np
import tensorflow as tf
from garage.experiment import deterministic
from garage.tf.models import GaussianMLPModel
from garage.tf.policies.task_embedding_policy import TaskEmbeddingPolicy
class GaussianMLPTaskEmb... | 20,755 | 43.445396 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/policies/policy.py | """Base class for policies in TensorFlow."""
import abc
from garage.tf.models import Module, StochasticModule
class Policy(Module):
"""Base class for policies in TensorFlow.
Args:
name (str): Policy name, also the variable scope.
env_spec (garage.envs.env_spec.EnvSpec): Environment specifica... | 2,289 | 22.367347 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/policies/task_embedding_policy.py | """Policy class for Task Embedding envs."""
import abc
import akro
from garage.tf.policies.policy import StochasticPolicy
class TaskEmbeddingPolicy(StochasticPolicy):
"""Base class for Task Embedding policies in TensorFlow.
This policy needs a task id in addition to observation to sample an action.
Ar... | 7,890 | 34.38565 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/policies/uniform_control_policy.py | """Uniform control policy."""
from garage.tf.policies.policy import Policy
class UniformControlPolicy(Policy):
"""Policy that output random action uniformly.
Args:
env_spec (garage.envs.env_spec.EnvSpec): Environment specification.
"""
def __init__(
self,
env_spec,
... | 1,486 | 25.553571 | 77 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/q_functions/__init__.py | """Q-Functions for TensorFlow-based algorithms."""
# noqa: I100
from garage.tf.q_functions.q_function import QFunction
from garage.tf.q_functions.continuous_cnn_q_function import ( # noqa: I100
ContinuousCNNQFunction)
from garage.tf.q_functions.continuous_mlp_q_function import (
ContinuousMLPQFunction)
from g... | 607 | 37 | 78 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/q_functions/continuous_cnn_q_function.py | """Continuous CNN QFunction with CNN-MLP structure."""
import akro
import tensorflow as tf
from garage.experiment import deterministic
from garage.tf.models import CNNMLPMergeModel
from garage.tf.q_functions import QFunction
class ContinuousCNNQFunction(QFunction):
"""Q function based on a CNN-MLP structure for ... | 11,845 | 41.611511 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/q_functions/continuous_mlp_q_function.py | """Continuous MLP QFunction."""
import tensorflow as tf
from garage.experiment import deterministic
from garage.tf.models import MLPMergeModel
from garage.tf.q_functions.q_function import QFunction
class ContinuousMLPQFunction(QFunction):
"""Continuous MLP QFunction.
This class implements a q value network ... | 7,765 | 38.825641 | 78 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/q_functions/discrete_cnn_q_function.py | """Discrete CNN QFunction with CNN-MLP structure."""
import akro
import tensorflow as tf
from garage.experiment import deterministic
from garage.tf.models import CNNModel
from garage.tf.models import CNNModelWithMaxPooling
from garage.tf.models import MLPDuelingModel
from garage.tf.models import MLPModel
from garage.t... | 11,653 | 41.378182 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/q_functions/discrete_mlp_q_function.py | """Discrete MLP QFunction."""
import tensorflow as tf
from garage.experiment import deterministic
from garage.tf.models import MLPDuelingModel
from garage.tf.models import MLPModel
from garage.tf.q_functions.q_function import QFunction
class DiscreteMLPQFunction(QFunction):
"""Discrete MLP Q Function.
This ... | 7,125 | 36.505263 | 78 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/q_functions/q_function.py | """Q-function base classes without Parameterized."""
import abc
class QFunction(abc.ABC):
"""Q-function base class without Parameterzied.
Args:
name (str): Name of the Q-fucntion, also the variable scope.
"""
def __init__(self, name):
self.name = name or type(self).__name__
... | 1,677 | 27.931034 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/regressors/__init__.py | """Regressors for TensorFlow-based algorithms."""
from garage.tf.regressors.bernoulli_mlp_regressor import BernoulliMLPRegressor
from garage.tf.regressors.categorical_mlp_regressor import (
CategoricalMLPRegressor)
from garage.tf.regressors.continuous_mlp_regressor import (
ContinuousMLPRegressor)
from garage.t... | 851 | 43.842105 | 78 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/regressors/bernoulli_mlp_regressor.py | """Bernoulli MLP Regressor based on MLP with Normalized Inputs."""
from dowel import tabular
import numpy as np
import tensorflow as tf
from garage import make_optimizer
from garage.experiment import deterministic
from garage.tf.distributions import Bernoulli
from garage.tf.misc import tensor_utils
from garage.tf.mode... | 12,189 | 38.196141 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/regressors/categorical_mlp_regressor.py | """A regressor based on MLP with Normalized Inputs."""
from dowel import tabular
import numpy as np
import tensorflow as tf
from garage import make_optimizer
from garage.experiment import deterministic
from garage.tf.misc import tensor_utils
from garage.tf.optimizers import ConjugateGradientOptimizer, LbfgsOptimizer
f... | 10,257 | 40.362903 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/regressors/categorical_mlp_regressor_model.py | """CategoricalMLPRegressorModel."""
import tensorflow as tf
import tensorflow_probability as tfp
from garage.experiment import deterministic
from garage.tf.models import NormalizedInputMLPModel
class CategoricalMLPRegressorModel(NormalizedInputMLPModel):
"""CategoricalMLPRegressorModel based on garage.tf.models.... | 5,386 | 41.753968 | 78 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/regressors/continuous_mlp_regressor.py | """A regressor based on a MLP model."""
from dowel import tabular
import numpy as np
import tensorflow as tf
from garage import make_optimizer
from garage.experiment import deterministic
from garage.tf.misc import tensor_utils
from garage.tf.models import NormalizedInputMLPModel
from garage.tf.optimizers import LbfgsO... | 7,327 | 35.457711 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/regressors/gaussian_cnn_regressor.py | """A regressor based on a GaussianMLP model."""
from dowel import tabular
import numpy as np
import tensorflow as tf
from garage import make_optimizer
from garage.experiment import deterministic
from garage.tf.misc import tensor_utils
from garage.tf.optimizers import LbfgsOptimizer, PenaltyLbfgsOptimizer
from garage.t... | 16,558 | 41.898964 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/regressors/gaussian_cnn_regressor_model.py | """GaussianCNNRegressorModel."""
import numpy as np
import tensorflow as tf
from garage.experiment import deterministic
from garage.tf.models import GaussianCNNModel
class GaussianCNNRegressorModel(GaussianCNNModel):
"""GaussianCNNRegressor based on garage.tf.models.Model class.
This class can be used to pe... | 10,901 | 46.815789 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/regressors/gaussian_mlp_regressor.py | """A regressor based on a GaussianMLP model."""
from dowel import tabular
import numpy as np
import tensorflow as tf
from garage import make_optimizer
from garage.experiment import deterministic
from garage.tf.misc import tensor_utils
from garage.tf.optimizers import LbfgsOptimizer, PenaltyLbfgsOptimizer
from garage.t... | 11,511 | 40.261649 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/regressors/gaussian_mlp_regressor_model.py | """GaussianMLPRegressorModel."""
import numpy as np
import tensorflow as tf
import tensorflow_probability as tfp
from garage.experiment import deterministic
from garage.tf.models import GaussianMLPModel
class GaussianMLPRegressorModel(GaussianMLPModel):
"""GaussianMLPRegressor based on garage.tf.models.Model cla... | 11,294 | 43.821429 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/regressors/regressor.py | """Regressor base classes without Parameterized."""
from garage.tf.models import Module, StochasticModule
class Regressor(Module):
"""Regressor base class.
Args:
input_shape (tuple[int]): Input shape.
output_dim (int): Output dimension.
name (str): Name of the regressor.
"""
... | 1,447 | 23.133333 | 69 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/samplers/__init__.py | """Samplers which run agents that use Tensorflow in environments."""
from garage.tf.samplers.batch_sampler import BatchSampler
from garage.tf.samplers.worker import TFWorkerClassWrapper, TFWorkerWrapper
__all__ = ['BatchSampler', 'TFWorkerClassWrapper', 'TFWorkerWrapper']
| 275 | 38.428571 | 75 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/samplers/batch_sampler.py | """Collects samples in parallel using a stateful pool of workers."""
import tensorflow as tf
from garage.sampler import parallel_sampler
from garage.sampler.sampler_deprecated import BaseSampler
from garage.sampler.stateful_pool import singleton_pool
from garage.sampler.utils import truncate_paths
def worker_init_t... | 2,615 | 29.068966 | 74 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/tf/samplers/worker.py | """Default TensorFlow sampler Worker."""
import tensorflow as tf
from garage.sampler import Worker
class TFWorkerClassWrapper:
"""Acts like a Worker class, but is actually an object.
When called, constructs the wrapped class and wraps it in a
TFWorkerWrapper.
Args:
wrapped_class (type): The... | 4,467 | 26.580247 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/torch/__init__.py | """PyTorch-backed modules and algorithms."""
from garage.torch._functions import compute_advantages
from garage.torch._functions import dict_np_to_torch
from garage.torch._functions import filter_valids
from garage.torch._functions import flatten_batch
from garage.torch._functions import global_device
from garage.torch... | 775 | 42.111111 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/torch/_functions.py | """Utility functions for PyTorch algorithms.
A collection of common functions that are used by Pytorch algos.
This collection of functions can be used to manage the following:
- Pytorch GPU usage
- setting the default Pytorch GPU
- converting Tensors to GPU Tensors
- Converting Tensors int... | 8,551 | 31.51711 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/torch/algos/__init__.py | """PyTorch algorithms."""
from garage.torch.algos.ddpg import DDPG
# VPG has to been import first because it is depended by PPO and TRPO.
from garage.torch.algos.vpg import VPG
from garage.torch.algos.ppo import PPO # noqa: I100
from garage.torch.algos.trpo import TRPO
from garage.torch.algos.maml_ppo import MAMLPPO ... | 681 | 36.888889 | 76 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/torch/algos/ddpg.py | """This modules creates a DDPG model in PyTorch."""
from collections import deque
import copy
from dowel import logger, tabular
import numpy as np
import torch
from garage import _Default, make_optimizer
from garage import log_performance
from garage.np import obtain_evaluation_samples
from garage.np import samples_t... | 13,459 | 40.036585 | 91 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/torch/algos/maml.py | """Model-Agnostic Meta-Learning (MAML) algorithm implementation for RL."""
import collections
import copy
from dowel import tabular
import numpy as np
import torch
from garage import _Default, make_optimizer
from garage import log_multitask_performance
from garage import TrajectoryBatch
from garage.misc import tensor... | 20,849 | 38.714286 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/torch/algos/maml_ppo.py | """Model-Agnostic Meta-Learning (MAML) algorithm applied to PPO."""
import torch
from garage import _Default
from garage.torch.algos import PPO
from garage.torch.algos.maml import MAML
from garage.torch.optimizers import OptimizerWrapper
class MAMLPPO(MAML):
"""Model-Agnostic Meta-Learning (MAML) applied to PPO.... | 4,658 | 44.23301 | 78 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/torch/algos/maml_trpo.py | """Model-Agnostic Meta-Learning (MAML) algorithm applied to TRPO."""
import torch
from garage import _Default
from garage.torch.algos import VPG
from garage.torch.algos.maml import MAML
from garage.torch.optimizers import (ConjugateGradientOptimizer,
OptimizerWrapper)
class MAMLT... | 4,791 | 44.207547 | 78 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/torch/algos/maml_vpg.py | """Model-Agnostic Meta-Learning (MAML) algorithm applied to VPG."""
import torch
from garage import _Default
from garage.torch.algos import VPG
from garage.torch.algos.maml import MAML
from garage.torch.optimizers import OptimizerWrapper
class MAMLVPG(MAML):
"""Model-Agnostic Meta-Learning (MAML) applied to VPG.... | 4,469 | 44.612245 | 78 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/torch/algos/mtsac.py | """This modules creates a MTSAC model in PyTorch."""
import numpy as np
import torch
from garage import log_multitask_performance, TrajectoryBatch
from garage.np import obtain_evaluation_samples
from garage.torch import global_device
from garage.torch.algos import SAC
class MTSAC(SAC):
"""A MTSAC Model in Torch.... | 10,046 | 42.120172 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/torch/algos/pearl.py | """PEARL and PEARLWorker in Pytorch.
Code is adapted from https://github.com/katerakelly/oyster.
"""
import copy
import akro
from dowel import logger
import numpy as np
import torch
from garage import InOutSpec, TimeStep
from garage.envs import EnvSpec
from garage.experiment import MetaEvaluator
from garage.np.algo... | 30,030 | 38.052016 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/torch/algos/ppo.py | """Proximal Policy Optimization (PPO)."""
import torch
from garage.torch.algos import VPG
from garage.torch.optimizers import OptimizerWrapper
class PPO(VPG):
"""Proximal Policy Optimization (PPO).
Args:
env_spec (garage.envs.EnvSpec): Environment specification.
policy (garage.torch.policies... | 5,484 | 40.240602 | 78 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/torch/algos/sac.py | """This modules creates a sac model in PyTorch."""
from collections import deque
import copy
from dowel import tabular
import numpy as np
import torch
import torch.nn.functional as F
from garage import log_performance
from garage.np import obtain_evaluation_samples
from garage.np.algos import RLAlgorithm
from garage.... | 21,875 | 40.908046 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/torch/algos/trpo.py | """Trust Region Policy Optimization."""
import torch
from garage.torch.algos import VPG
from garage.torch.optimizers import ConjugateGradientOptimizer
from garage.torch.optimizers import OptimizerWrapper
class TRPO(VPG):
"""Trust Region Policy Optimization (TRPO).
Args:
env_spec (garage.envs.EnvSpec... | 5,987 | 40.296552 | 78 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/torch/algos/vpg.py | """Vanilla Policy Gradient (REINFORCE)."""
import collections
import copy
from dowel import tabular
import numpy as np
import torch
import torch.nn.functional as F
from garage import log_performance, TrajectoryBatch
from garage.misc import tensor_utils as tu
from garage.np.algos.rl_algorithm import RLAlgorithm
from g... | 18,850 | 37.788066 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/torch/distributions/__init__.py | """PyTorch Custom Distributions."""
from garage.torch.distributions.tanh_normal import TanhNormal
__all__ = ['TanhNormal']
| 124 | 24 | 61 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/torch/distributions/tanh_normal.py | """A Gaussian distribution with tanh transformation."""
import torch
from torch.distributions import Normal
from torch.distributions.independent import Independent
class TanhNormal(torch.distributions.Distribution):
r"""A distribution induced by applying a tanh transformation to a Gaussian random variable.
A... | 9,062 | 33.071429 | 95 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/torch/embeddings/__init__.py | """PyTorch embedding modules for meta-learning algorithms."""
from garage.torch.embeddings.mlp_encoder import MLPEncoder
__all__ = ['MLPEncoder']
| 148 | 23.833333 | 61 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/torch/embeddings/mlp_encoder.py | """An MLP network for encoding context of RL tasks."""
import akro
import numpy as np
from garage import InOutSpec
from garage.np.embeddings import Encoder
from garage.torch.modules import MLPModule
class MLPEncoder(MLPModule, Encoder):
"""This MLP network encodes context of RL tasks.
Context is stored in t... | 2,951 | 37.842105 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/torch/modules/__init__.py | """Pytorch modules."""
from garage.torch.modules.gaussian_mlp_module import \
GaussianMLPIndependentStdModule, GaussianMLPModule, \
GaussianMLPTwoHeadedModule
from garage.torch.modules.mlp_module import MLPModule
from garage.torch.modules.multi_headed_mlp_module import MultiHeadedMLPModule
__all__ = [
'ML... | 458 | 27.6875 | 77 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/torch/modules/gaussian_mlp_module.py | """GaussianMLPModule."""
import abc
import torch
from torch import nn
from torch.distributions import Normal
from torch.distributions.independent import Independent
from garage.torch.distributions import TanhNormal
from garage.torch.modules.mlp_module import MLPModule
from garage.torch.modules.multi_headed_mlp_module... | 28,760 | 45.0176 | 105 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/torch/modules/mlp_module.py | """MLP Module."""
from torch import nn
from torch.nn import functional as F
from garage.torch.modules.multi_headed_mlp_module import MultiHeadedMLPModule
class MLPModule(MultiHeadedMLPModule):
"""MLP Model.
A Pytorch module composed only of a multi-layer perceptron (MLP), which
maps real-valued inputs ... | 3,153 | 36.105882 | 78 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/torch/modules/multi_headed_mlp_module.py | """MultiHeadedMLPModule."""
import copy
import torch
import torch.nn as nn
from garagei.torch.modules.spectral_norm import spectral_norm
class MultiHeadedMLPModule(nn.Module):
"""MultiHeadedMLPModule Model.
A PyTorch module composed only of a multi-layer perceptron (MLP) with
multiple parallel output l... | 7,937 | 36.443396 | 122 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/torch/optimizers/__init__.py | """PyTorch optimizers."""
from garage.torch.optimizers.conjugate_gradient_optimizer import (
ConjugateGradientOptimizer)
from garage.torch.optimizers.differentiable_sgd import DifferentiableSGD
from garage.torch.optimizers.optimizer_wrapper import OptimizerWrapper
__all__ = [
'OptimizerWrapper', 'ConjugateGrad... | 358 | 34.9 | 73 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/torch/optimizers/conjugate_gradient_optimizer.py | """Conjugate Gradient Optimizer.
Computes the decent direction using the conjugate gradient method, and then
computes the optimal step size that will satisfy the KL divergence constraint.
Finally, it performs a backtracking line search to optimize the objective.
"""
import warnings
from dowel import logger
import nu... | 9,550 | 35.59387 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/torch/optimizers/differentiable_sgd.py | """Differentiable Stochastic Gradient Descent Optimizer.
Useful for algorithms such as MAML that needs the gradient of functions of
post-updated parameters with respect to pre-updated parameters.
"""
class DifferentiableSGD:
"""Differentiable Stochastic Gradient Descent.
DifferentiableSGD performs the same... | 2,002 | 32.383333 | 105 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/torch/optimizers/optimizer_wrapper.py | """A PyTorch optimizer wrapper that compute loss and optimize module."""
from garage import make_optimizer
from garage.np.optimizers import BatchDataset
class OptimizerWrapper:
"""A wrapper class to handle torch.optim.optimizer.
Args:
optimizer (Union[type, tuple[type, dict]]): Type of optimizer
... | 2,214 | 33.609375 | 77 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/torch/policies/__init__.py | """PyTorch Policies."""
from garage.torch.policies.context_conditioned_policy import (
ContextConditionedPolicy)
from garage.torch.policies.policy import Policy
from garage.torch.policies.deterministic_mlp_policy import ( # noqa: I100
DeterministicMLPPolicy)
from garage.torch.policies.gaussian_mlp_policy impor... | 573 | 30.888889 | 74 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/torch/policies/context_conditioned_policy.py | """A policy used in training meta reinforcement learning algorithms.
It is used in PEARL (Probabilistic Embeddings for Actor-Critic Reinforcement
Learning). The paper on PEARL can be found at https://arxiv.org/abs/1903.08254.
Code is adapted from https://github.com/katerakelly/oyster.
"""
import numpy as np
import to... | 10,699 | 39.530303 | 86 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/torch/policies/deterministic_mlp_policy.py | """This modules creates a deterministic policy network.
A neural network can be used as policy method in different RL algorithms.
It accepts an observation of the environment and predicts an action.
"""
import akro
import numpy as np
import torch
from garage.torch.modules import MLPModule
from garage.torch.policies.p... | 4,005 | 35.418182 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/torch/policies/gaussian_mlp_policy.py | """GaussianMLPPolicy."""
import torch
from torch import nn
from garage.torch.modules import GaussianMLPModule
from garage.torch.policies.stochastic_policy import StochasticPolicy
class GaussianMLPPolicy(StochasticPolicy):
"""MLP whose outputs are fed into a Normal distribution..
A policy that contains a MLP... | 4,433 | 41.228571 | 78 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/torch/policies/policy.py | """Base Policy."""
import abc
import torch
class Policy(torch.nn.Module, abc.ABC):
"""Policy base class.
Args:
env_spec (garage.envs.env_spec.EnvSpec): Environment specification.
name (str): Name of policy.
"""
def __init__(self, env_spec, name):
super().__init__()
... | 2,648 | 22.236842 | 75 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/torch/policies/stochastic_policy.py | """Base Stochastic Policy."""
import abc
import akro
import numpy as np
import torch
from garage.torch import global_device
from garage.torch.policies.policy import Policy
class StochasticPolicy(Policy, abc.ABC):
"""Abstract base class for torch stochastic policies."""
def get_action(self, observation):
... | 3,967 | 37.524272 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/torch/policies/tanh_gaussian_mlp_policy.py | """TanhGaussianMLPPolicy."""
import numpy as np
from torch import nn
from garage.torch.distributions import TanhNormal
from garage.torch.modules import GaussianMLPTwoHeadedModule
from garage.torch.policies.stochastic_policy import StochasticPolicy
class TanhGaussianMLPPolicy(StochasticPolicy):
"""Multiheaded MLP... | 4,776 | 42.825688 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/torch/q_functions/__init__.py | """PyTorch Q-functions."""
from garage.torch.q_functions.continuous_mlp_q_function import (
ContinuousMLPQFunction)
__all__ = ['ContinuousMLPQFunction']
| 158 | 25.5 | 64 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/torch/q_functions/continuous_mlp_q_function.py | """This modules creates a continuous Q-function network."""
import torch
from garage.torch.modules import MLPModule
class ContinuousMLPQFunction(MLPModule):
"""
Implements a continuous MLP Q-value network.
It predicts the Q-value for all actions based on the input state. It uses
a PyTorch neural ne... | 1,142 | 30.75 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/torch/value_functions/__init__.py | """Value functions which use PyTorch."""
from garage.torch.value_functions.value_function import ValueFunction
from garage.torch.value_functions.gaussian_mlp_value_function import ( # noqa: I100,E501
GaussianMLPValueFunction)
__all__ = ['ValueFunction', 'GaussianMLPValueFunction']
| 288 | 40.285714 | 89 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/torch/value_functions/gaussian_mlp_value_function.py | """A value function based on a GaussianMLP model."""
import torch
from torch import nn
from garage.torch.modules import GaussianMLPModule
from garage.torch.value_functions.value_function import ValueFunction
class GaussianMLPValueFunction(ValueFunction):
"""Gaussian MLP Value Function with Model.
It fits th... | 4,322 | 37.256637 | 78 | py |
CSD-locomotion | CSD-locomotion-master/garaged/src/garage/torch/value_functions/value_function.py | """Base class for all baselines."""
import abc
import torch.nn as nn
class ValueFunction(abc.ABC, nn.Module):
"""Base class for all baselines.
Args:
env_spec (garage.envs.env_spec.EnvSpec): Environment specification.
name (str): Value function name, also the variable scope.
"""
def... | 911 | 24.333333 | 78 | py |
CSD-locomotion | CSD-locomotion-master/garaged/tests/__init__.py | 0 | 0 | 0 | py | |
CSD-locomotion | CSD-locomotion-master/garaged/tests/helpers.py | """helper functions for tests and benchmarks."""
import bisect
import itertools
import pickle
import random
import numpy as np
import pytest
from tests.quirks import KNOWN_GYM_RENDER_NOT_IMPLEMENTED
def step_env(env, n=10, render=True):
"""Step env helper.
Args:
env (GarageEnv): Input environment.
... | 16,572 | 35.584989 | 79 | py |
CSD-locomotion | CSD-locomotion-master/garaged/tests/mock.py | from unittest import mock
class PickleableMagicMock(mock.MagicMock):
def __reduce__(self):
return (mock.MagicMock, ())
| 133 | 18.142857 | 42 | py |
CSD-locomotion | CSD-locomotion-master/garaged/tests/quirks.py | """Documented breakages and quirks caused by dependencies."""
# openai/gym environments known to not implement render()
#
# e.g.
# > gym/core.py", line 111, in render
# > raise NotImplementedError
# > NotImplementedError
#
# Tests calling render() on these should verify they raise NotImplementedError
# ```
# with ... | 553 | 23.086957 | 78 | py |
CSD-locomotion | CSD-locomotion-master/garaged/tests/wrappers.py | import gym
class AutoStopEnv(gym.Wrapper):
"""A env wrapper that stops rollout at step max_path_length."""
def __init__(self, env=None, env_name="", max_path_length=100):
if env_name:
super().__init__(gym.make(env_name))
else:
super().__init__(env)
self._rollou... | 734 | 28.4 | 67 | py |
CSD-locomotion | CSD-locomotion-master/garaged/tests/fixtures/__init__.py | from tests.fixtures.fixtures import snapshot_config
from tests.fixtures.fixtures import TfGraphTestCase
from tests.fixtures.fixtures import TfTestCase
__all__ = ['snapshot_config', 'TfGraphTestCase', 'TfTestCase']
| 215 | 35 | 62 | py |
CSD-locomotion | CSD-locomotion-master/garaged/tests/fixtures/fixtures.py | import gc
import os
from dowel import logger
import tensorflow as tf
from garage.experiment import deterministic
from garage.experiment.snapshotter import SnapshotConfig
from tests.fixtures.logger import NullOutput
path = os.path.join(os.getcwd(), 'data/local/experiment')
snapshot_config = SnapshotConfig(snapshot_di... | 1,789 | 28.344262 | 61 | py |
CSD-locomotion | CSD-locomotion-master/garaged/tests/fixtures/logger.py | from dowel import LogOutput, TabularInput
class NullOutput(LogOutput):
"""Dummy output to disable 'no logger output' warnings."""
@property
def types_accepted(self):
"""Accept all output types."""
return (object, )
def record(self, data, prefix=''):
"""Don't do anything."""
... | 390 | 23.4375 | 62 | py |
CSD-locomotion | CSD-locomotion-master/garaged/tests/fixtures/algos/__init__.py | from tests.fixtures.algos.dummy_algo import DummyAlgo
from tests.fixtures.algos.dummy_tf_algo import DummyTFAlgo
__all__ = ['DummyAlgo', 'DummyTFAlgo']
| 153 | 29.8 | 58 | py |
CSD-locomotion | CSD-locomotion-master/garaged/tests/fixtures/algos/dummy_algo.py | """A dummy algorithm fixture."""
from garage.np.algos import RLAlgorithm
class DummyAlgo(RLAlgorithm): # pylint: disable=too-few-public-methods
"""Dummy algo for test.
Args:
env_spec (garage.envs.EnvSpec): Environment specification.
policy (garage.np.policies.Policy): Policy.
baselin... | 999 | 28.411765 | 75 | py |
CSD-locomotion | CSD-locomotion-master/garaged/tests/fixtures/algos/dummy_tf_algo.py | """Dummy algorithm."""
from garage.np.algos import RLAlgorithm
class DummyTFAlgo(RLAlgorithm):
"""Dummy algorithm."""
def init_opt(self):
"""Initialize the optimization procedure.
If using tensorflow, this may include declaring all the variables and
compiling functions.
"""
... | 562 | 22.458333 | 77 | py |
CSD-locomotion | CSD-locomotion-master/garaged/tests/fixtures/distributions/__init__.py | from tests.fixtures.distributions.dummy_distribution import DummyDistribution
__all__ = [
"DummyDistribution",
]
| 118 | 18.833333 | 77 | py |
CSD-locomotion | CSD-locomotion-master/garaged/tests/fixtures/distributions/dummy_distribution.py | """Dummy distribution for testing purpose."""
from garage.tf.distributions import Distribution
class DummyDistribution(Distribution):
"""Dummy distribution for testing purpose."""
@property
def dim(self):
"""Distribution dimension.
Returns:
int: Distribution dimenison.
... | 2,035 | 23.829268 | 68 | py |
CSD-locomotion | CSD-locomotion-master/garaged/tests/fixtures/envs/__init__.py | 0 | 0 | 0 | py |