python_code stringlengths 0 187k | repo_name stringlengths 8 46 | file_path stringlengths 6 135 |
|---|---|---|
import abc
from typing import Any, Union, Callable, TypeVar, Dict, Optional, cast
from collections import OrderedDict
import torch
import torch.nn as nn
from torch.distributions.utils import lazy_property
import gym
from allenact.base_abstractions.sensor import AbstractExpertActionSensor as Expert
from allenact.utils... | ask4help-main | allenact/base_abstractions/distributions.py |
ask4help-main | allenact/algorithms/__init__.py | |
"""Defines the reinforcement learning `OnPolicyRunner`."""
import copy
import glob
import itertools
import json
import math
import os
import pathlib
import queue
import random
import signal
import subprocess
import sys
import time
import traceback
from collections import defaultdict
from multiprocessing.context import ... | ask4help-main | allenact/algorithms/onpolicy_sync/runner.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import abc
from collections import OrderedDict
from typing import TypeVar, Generic, Tuple, Optional, Union, Dict, List, A... | ask4help-main | allenact/algorithms/onpolicy_sync/policy.py |
ask4help-main | allenact/algorithms/onpolicy_sync/__init__.py | |
"""Defines the reinforcement learning `OnPolicyRLEngine`."""
import datetime
import itertools
import logging
import os
import random
import time
import traceback
from collections import defaultdict
from multiprocessing.context import BaseContext
from typing import (
Optional,
Any,
Dict,
Union,
List,... | ask4help-main | allenact/algorithms/onpolicy_sync/engine.py |
# Original work Copyright (c) Facebook, Inc. and its affiliates.
# Modified work Copyright (c) Allen Institute for AI
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import os
import signal
import time
import traceback
from multiprocessing.conn... | ask4help-main | allenact/algorithms/onpolicy_sync/vector_sampled_tasks.py |
# Original work Copyright (c) Facebook, Inc. and its affiliates.
# Modified work Copyright (c) Allen Institute for AI
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import random
from collections import defaultdict
from typing import Union, Li... | ask4help-main | allenact/algorithms/onpolicy_sync/storage.py |
import functools
from typing import Dict, cast, Sequence, Set
import torch
from allenact.algorithms.onpolicy_sync.losses.abstract_loss import (
AbstractActorCriticLoss,
)
from allenact.algorithms.onpolicy_sync.policy import ObservationType
from allenact.base_abstractions.distributions import CategoricalDistr
from... | ask4help-main | allenact/algorithms/onpolicy_sync/losses/grouped_action_imitation.py |
from .a2cacktr import A2C, ACKTR, A2CACKTR
from .ppo import PPO
| ask4help-main | allenact/algorithms/onpolicy_sync/losses/__init__.py |
"""Defining imitation losses for actor critic type models."""
from typing import Dict, cast, Optional
from collections import OrderedDict
import torch
from allenact.algorithms.onpolicy_sync.losses.abstract_loss import (
AbstractActorCriticLoss,
ObservationType,
)
from allenact.base_abstractions.distributions... | ask4help-main | allenact/algorithms/onpolicy_sync/losses/imitation.py |
"""Defining abstract loss classes for actor critic models."""
import abc
from typing import Dict, Tuple, Union
import torch
from allenact.algorithms.onpolicy_sync.policy import ObservationType
from allenact.base_abstractions.distributions import CategoricalDistr
from allenact.base_abstractions.misc import Loss, Acto... | ask4help-main | allenact/algorithms/onpolicy_sync/losses/abstract_loss.py |
"""Defining the PPO loss for actor critic type models."""
from typing import Dict, Optional, Callable, cast, Tuple
import torch
from allenact.algorithms.onpolicy_sync.losses.abstract_loss import (
AbstractActorCriticLoss,
ObservationType,
)
from allenact.base_abstractions.distributions import CategoricalDist... | ask4help-main | allenact/algorithms/onpolicy_sync/losses/ppo.py |
"""Implementation of the KFAC optimizer.
TODO: this code is not supported as it currently lacks an implementation for recurrent models.
"""
import math
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from allenact.base_abstractions.distributions import AddBias
# TODO:... | ask4help-main | allenact/algorithms/onpolicy_sync/losses/kfac.py |
"""Implementation of A2C and ACKTR losses."""
from typing import cast, Tuple, Dict, Optional
import torch
from allenact.algorithms.onpolicy_sync.losses.abstract_loss import (
AbstractActorCriticLoss,
ObservationType,
)
from allenact.base_abstractions.distributions import CategoricalDistr
from allenact.base_ab... | ask4help-main | allenact/algorithms/onpolicy_sync/losses/a2cacktr.py |
ask4help-main | allenact/algorithms/offpolicy_sync/__init__.py | |
"""Defining abstract loss classes for actor critic models."""
import abc
from typing import Dict, Tuple, TypeVar, Generic
import torch
from allenact.algorithms.onpolicy_sync.policy import ObservationType
from allenact.base_abstractions.misc import Loss, Memory
ModelType = TypeVar("ModelType")
class AbstractOffPol... | ask4help-main | allenact/algorithms/offpolicy_sync/losses/abstract_offpolicy_loss.py |
ask4help-main | allenact/algorithms/offpolicy_sync/losses/__init__.py | |
"""Functions used to initialize and manipulate pytorch models."""
import hashlib
from collections import Callable
from typing import Sequence, Tuple, Union, Optional, Dict, Any
import numpy as np
import torch
import torch.nn as nn
from allenact.utils.misc_utils import md5_hash_str_as_int
def md5_hash_of_state_dict(... | ask4help-main | allenact/utils/model_utils.py |
"""Utility classes and functions for running and designing experiments."""
import abc
import collections.abc
import copy
import random
from collections import OrderedDict, defaultdict
from typing import (
Callable,
NamedTuple,
Dict,
Any,
Union,
Iterator,
Optional,
List,
cast,
Seq... | ask4help-main | allenact/utils/experiment_utils.py |
# Original work Copyright (c) 2016 OpenAI (https://openai.com).
# Modified work Copyright (c) Allen Institute for AI
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from typing import Union, Tuple, List, cast, Iterable, Callable
from collectio... | ask4help-main | allenact/utils/spaces_utils.py |
import io
import logging
import os
import socket
import sys
from contextlib import closing
from typing import cast, Optional, Tuple
from torch import multiprocessing as mp
from allenact._constants import ALLENACT_INSTALL_DIR
HUMAN_LOG_LEVELS: Tuple[str, ...] = ("debug", "info", "warning", "error", "none")
"""
Availa... | ask4help-main | allenact/utils/system.py |
from typing import List, Any
import torch
from torchvision.models.detection.backbone_utils import resnet_fpn_backbone
from torchvision.models.detection.faster_rcnn import FasterRCNN
# noinspection PyProtectedMember
from torchvision.models.detection.faster_rcnn import model_urls
from torchvision.models.detection.rpn i... | ask4help-main | allenact/utils/cacheless_frcnn.py |
ask4help-main | allenact/utils/__init__.py | |
import copy
import functools
import hashlib
import inspect
import json
import math
import os
import random
import subprocess
import urllib
import urllib.request
from collections import Counter
from contextlib import contextmanager
from typing import Sequence, List, Optional, Tuple, Hashable
import filelock
import nump... | ask4help-main | allenact/utils/misc_utils.py |
from typing import Sequence, Any
import numpy as np
from matplotlib import pyplot as plt, markers
from matplotlib.collections import LineCollection
from allenact.utils.viz_utils import TrajectoryViz
class MultiTrajectoryViz(TrajectoryViz):
def __init__(
self,
path_to_trajectory_prefix: Sequence[... | ask4help-main | allenact/utils/multi_agent_viz_utils.py |
import os
from collections import defaultdict
import abc
import json
from typing import (
Dict,
Any,
Union,
Optional,
List,
Tuple,
Sequence,
Callable,
cast,
Set,
)
import sys
import numpy as np
from allenact.utils.experiment_utils import Builder
from allenact.utils.tensor_utils... | ask4help-main | allenact/utils/viz_utils.py |
"""Functions used to manipulate pytorch tensors and numpy arrays."""
import numbers
import os
import tempfile
from collections import defaultdict
from typing import List, Dict, Optional, DefaultDict, Union, Any, cast
import PIL
import numpy as np
import torch
from PIL import Image
from moviepy import editor as mpy
fr... | ask4help-main | allenact/utils/tensor_utils.py |
import math
from typing import Dict, Any, Union, Callable, Optional
from allenact.utils.system import get_logger
def pos_to_str_for_cache(pos: Dict[str, float]) -> str:
return "_".join([str(pos["x"]), str(pos["y"]), str(pos["z"])])
def str_to_pos_for_cache(s: str) -> Dict[str, float]:
split = s.split("_")
... | ask4help-main | allenact/utils/cache_utils.py |
import os
import sys
from pathlib import Path
from subprocess import getoutput
def make_package(name, verbose=False):
"""Prepares sdist for allenact or allenact_plugins."""
orig_dir = os.getcwd()
base_dir = os.path.join(os.path.abspath(os.path.dirname(Path(__file__))), "..")
os.chdir(base_dir)
w... | ask4help-main | scripts/release.py |
#!/usr/bin/env python3
"""Tool to run command on multiple nodes through SSH."""
import os
import argparse
import glob
def get_argument_parser():
"""Creates the argument parser."""
# noinspection PyTypeChecker
parser = argparse.ArgumentParser(
description="dcommand", formatter_class=argparse.Arg... | ask4help-main | scripts/dcommand.py |
import glob
import os
import shutil
import sys
from pathlib import Path
from subprocess import check_output
from threading import Thread
from typing import Dict, Union, Optional, Set, List, Sequence, Mapping
from git import Git
from ruamel.yaml import YAML # type: ignore
from constants import ABS_PATH_OF_TOP_LEVEL_D... | ask4help-main | scripts/build_docs.py |
#!/usr/bin/env python3
import os
import argparse
def get_argument_parser():
"""Creates the argument parser."""
# noinspection PyTypeChecker
parser = argparse.ArgumentParser(
description="dconfig", formatter_class=argparse.ArgumentDefaultsHelpFormatter,
)
parser.add_argument(
"--... | ask4help-main | scripts/dconfig.py |
#!/usr/bin/env python3
"""Tool to terminate multi-node (distributed) training."""
import os
import argparse
import glob
def get_argument_parser():
"""Creates the argument parser."""
# noinspection PyTypeChecker
parser = argparse.ArgumentParser(
description="dkill", formatter_class=argparse.Argu... | ask4help-main | scripts/dkill.py |
"""Helper functions used to create literate documentation from python files."""
import importlib
import inspect
import os
from typing import Optional, Sequence, List, cast
from typing.io import TextIO
from constants import ABS_PATH_OF_DOCS_DIR, ABS_PATH_OF_TOP_LEVEL_DIR
def get_literate_output_path(file: TextIO) ->... | ask4help-main | scripts/literate.py |
import atexit
import os
import platform
import re
import shlex
import subprocess
import tempfile
# Turning off automatic black formatting for this script as it breaks quotes.
# fmt: off
def pci_records():
records = []
command = shlex.split("lspci -vmm")
output = subprocess.check_output(command).decode()... | ask4help-main | scripts/startx.py |
#!/usr/bin/env python3
"""Entry point to multi-node (distributed) training for a user given experiment
name."""
import sys
import os
import time
import random
import string
from pathlib import Path
from typing import Optional
import subprocess
# Add to PYTHONPATH the path of the parent directory of the current file'... | ask4help-main | scripts/dmain.py |
try:
from allenact_plugins._version import __version__
except ModuleNotFoundError:
__version__ = None
| ask4help-main | allenact_plugins/__init__.py |
import glob
import os
from pathlib import Path
from setuptools import find_packages, setup
def parse_req_file(fname, initial=None):
"""Reads requires.txt file generated by setuptools and outputs a
new/updated dict of extras as keys and corresponding lists of dependencies
as values.
The input file's ... | ask4help-main | allenact_plugins/setup.py |
import os
if os.path.exists(os.path.join(os.getcwd(), "habitat", "habitat-lab")):
# Old directory structure (not recommended)
HABITAT_DATA_BASE = os.path.join(os.getcwd(), "habitat/habitat-lab/data")
else:
# New directory structure
HABITAT_DATA_BASE = os.path.join(os.getcwd(), "datasets", "habitat",)
... | ask4help-main | allenact_plugins/habitat_plugin/habitat_constants.py |
from abc import ABC
from typing import Tuple, List, Dict, Any, Optional, Union, Sequence, cast
import gym
import numpy as np
from habitat.sims.habitat_simulator.actions import HabitatSimActions
from habitat.sims.habitat_simulator.habitat_simulator import HabitatSim
from habitat.tasks.nav.shortest_path_follower import ... | ask4help-main | allenact_plugins/habitat_plugin/habitat_tasks.py |
from allenact.utils.system import ImportChecker
with ImportChecker(
"\n\nPlease install habitat following\n\n"
"https://allenact.org/installation/installation-framework/#installation-of-habitat\n\n"
):
import habitat
import habitat_sim
| ask4help-main | allenact_plugins/habitat_plugin/__init__.py |
from typing import Any, Optional, Tuple
import gym
import numpy as np
from pyquaternion import Quaternion
from allenact.base_abstractions.sensor import Sensor
from allenact.embodiedai.sensors.vision_sensors import RGBSensor, DepthSensor
from allenact.base_abstractions.task import Task
from allenact.utils.misc_utils i... | ask4help-main | allenact_plugins/habitat_plugin/habitat_sensors.py |
"""A wrapper for interacting with the Habitat environment."""
from typing import Dict, Union, List, Optional
import habitat
import numpy as np
from habitat.config import Config
from habitat.core.dataset import Dataset
from habitat.core.simulator import Observations, AgentState, ShortestPathPoint
from habitat.tasks.na... | ask4help-main | allenact_plugins/habitat_plugin/habitat_environment.py |
from typing import Any
from allenact.embodiedai.preprocessors.resnet import ResNetPreprocessor
from allenact.utils.system import get_logger
class ResnetPreProcessorHabitat(ResNetPreprocessor):
"""Preprocess RGB or depth image using a ResNet model."""
def __init__(self, *args, **kwargs: Any):
super()... | ask4help-main | allenact_plugins/habitat_plugin/habitat_preprocessors.py |
from typing import List, Optional, Union, Callable
import gym
import habitat
from habitat.config import Config
from allenact.base_abstractions.sensor import Sensor
from allenact.base_abstractions.task import TaskSampler
from allenact_plugins.habitat_plugin.habitat_environment import HabitatEnvironment
from allenact_p... | ask4help-main | allenact_plugins/habitat_plugin/habitat_task_samplers.py |
import glob
import os
import shutil
from typing import List
import habitat
from habitat import Config
from allenact.utils.system import get_logger
from allenact_plugins.habitat_plugin.habitat_constants import (
HABITAT_DATA_BASE,
HABITAT_CONFIGS_DIR,
)
def construct_env_configs(
config: Config, allow_sc... | ask4help-main | allenact_plugins/habitat_plugin/habitat_utils.py |
ask4help-main | allenact_plugins/habitat_plugin/configs/__init__.py | |
import os
import cv2
import habitat
from pyquaternion import Quaternion
from allenact_plugins.habitat_plugin.habitat_constants import (
HABITAT_CONFIGS_DIR,
HABITAT_DATASETS_DIR,
HABITAT_SCENE_DATASETS_DIR,
)
from allenact_plugins.habitat_plugin.habitat_utils import get_habitat_config
FORWARD_KEY = "w"
L... | ask4help-main | allenact_plugins/habitat_plugin/scripts/agent_demo.py |
ask4help-main | allenact_plugins/habitat_plugin/scripts/__init__.py | |
import os
import habitat
import numpy as np
from tqdm import tqdm
from allenact_plugins.habitat_plugin.habitat_constants import (
HABITAT_CONFIGS_DIR,
HABITAT_DATA_BASE,
HABITAT_SCENE_DATASETS_DIR,
HABITAT_DATASETS_DIR,
)
from allenact_plugins.habitat_plugin.habitat_utils import get_habitat_config
ma... | ask4help-main | allenact_plugins/habitat_plugin/scripts/make_map.py |
ask4help-main | allenact_plugins/habitat_plugin/data/__init__.py | |
from typing import Optional, Tuple, cast
import gym
import torch
import torch.nn as nn
from gym.spaces.dict import Dict as SpaceDict
from allenact.algorithms.onpolicy_sync.policy import (
ActorCriticModel,
Memory,
ObservationType,
)
from allenact.base_abstractions.distributions import CategoricalDistr
fro... | ask4help-main | allenact_plugins/lighthouse_plugin/lighthouse_models.py |
import copy
import curses
import itertools
import time
from functools import lru_cache
from typing import Optional, Tuple, Any, List, Union, cast
import numpy as np
from gym.utils import seeding
from gym_minigrid import minigrid
EMPTY = 0
GOAL = 1
WRONG_CORNER = 2
WALL = 3
@lru_cache(1000)
def _get_world_corners(wo... | ask4help-main | allenact_plugins/lighthouse_plugin/lighthouse_environment.py |
import abc
import string
from typing import List, Dict, Any, Optional, Tuple, Union, Sequence, cast
import gym
import numpy as np
from gym.utils import seeding
from allenact.base_abstractions.misc import RLStepResult
from allenact.base_abstractions.sensor import Sensor, SensorSuite
from allenact.base_abstractions.tas... | ask4help-main | allenact_plugins/lighthouse_plugin/lighthouse_tasks.py |
ask4help-main | allenact_plugins/lighthouse_plugin/__init__.py | |
import itertools
from typing import Any, Dict, Optional, Tuple, Sequence
import gym
import numpy as np
import pandas as pd
import patsy
from allenact.base_abstractions.sensor import Sensor, prepare_locals_for_super
from allenact.base_abstractions.task import Task
from allenact_plugins.lighthouse_plugin.lighthouse_env... | ask4help-main | allenact_plugins/lighthouse_plugin/lighthouse_sensors.py |
import numpy as np
from allenact.utils.experiment_utils import EarlyStoppingCriterion, ScalarMeanTracker
class StopIfNearOptimal(EarlyStoppingCriterion):
def __init__(self, optimal: float, deviation: float, min_memory_size: int = 100):
self.optimal = optimal
self.deviation = deviation
se... | ask4help-main | allenact_plugins/lighthouse_plugin/lighthouse_util.py |
ask4help-main | allenact_plugins/lighthouse_plugin/configs/__init__.py | |
ask4help-main | allenact_plugins/lighthouse_plugin/scripts/__init__.py | |
ask4help-main | allenact_plugins/lighthouse_plugin/data/__init__.py | |
import os
from pathlib import Path
BABYAI_EXPERT_TRAJECTORIES_DIR = os.path.abspath(
os.path.join(os.path.dirname(Path(__file__)), "data", "demos")
)
| ask4help-main | allenact_plugins/babyai_plugin/babyai_constants.py |
from allenact.utils.system import ImportChecker
with ImportChecker(
"\n\nPlease install babyai with:\n\n"
"pip install -e git+https://github.com/Lucaweihs/babyai.git@0b450eeb3a2dc7116c67900d51391986bdbb84cd#egg=babyai\n",
):
import babyai
| ask4help-main | allenact_plugins/babyai_plugin/__init__.py |
from typing import Dict, Optional, List, cast, Tuple, Any
import babyai.model
import babyai.rl
import gym
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from gym.spaces.dict import Dict as SpaceDict
from allenact.algorithms.onpolicy_sync.policy import (
ActorCriticModel,
... | ask4help-main | allenact_plugins/babyai_plugin/babyai_models.py |
import random
import signal
from typing import Tuple, Any, List, Dict, Optional, Union, Callable
import babyai
import babyai.bot
import gym
import numpy as np
from gym.utils import seeding
from gym_minigrid.minigrid import MiniGridEnv
from allenact.base_abstractions.misc import RLStepResult
from allenact.base_abstrac... | ask4help-main | allenact_plugins/babyai_plugin/babyai_tasks.py |
ask4help-main | allenact_plugins/babyai_plugin/configs/__init__.py | |
import glob
import os
import babyai
from allenact_plugins.babyai_plugin.babyai_constants import (
BABYAI_EXPERT_TRAJECTORIES_DIR,
)
def make_small_demos(dir: str):
for file_path in glob.glob(os.path.join(dir, "*.pkl")):
if "valid" not in file_path and "small" not in file_path:
new_file_p... | ask4help-main | allenact_plugins/babyai_plugin/scripts/truncate_expert_demos.py |
ask4help-main | allenact_plugins/babyai_plugin/scripts/__init__.py | |
import glob
import os
import babyai
import numpy as np
from allenact_plugins.babyai_plugin.babyai_constants import (
BABYAI_EXPERT_TRAJECTORIES_DIR,
)
# Boss level
# [(50, 11.0), (90, 22.0), (99, 32.0), (99.9, 38.0), (99.99, 43.0)]
if __name__ == "__main__":
# level = "BossLevel"
level = "GoToLocal"
... | ask4help-main | allenact_plugins/babyai_plugin/scripts/get_instr_length_percentiles.py |
import argparse
import os
import platform
from allenact_plugins.babyai_plugin.babyai_constants import (
BABYAI_EXPERT_TRAJECTORIES_DIR,
)
LEVEL_TO_TRAIN_VALID_IDS = {
"BossLevel": (
"1DkVVpIEVtpyo1LxOXQL_bVyjFCTO3cHD",
"1ccEFA_n5RT4SWD0Wa_qO65z2HACJBace",
),
"GoToObjMaze": (
"1... | ask4help-main | allenact_plugins/babyai_plugin/scripts/download_babyai_expert_demos.py |
ask4help-main | allenact_plugins/babyai_plugin/data/__init__.py | |
import random
from typing import Dict, Tuple, List, Any, Optional, Union, Sequence, cast
import gym
import numpy as np
from allenact.base_abstractions.misc import RLStepResult
from allenact.base_abstractions.sensor import Sensor
from allenact.base_abstractions.task import Task
from allenact.utils.system import get_lo... | ask4help-main | allenact_plugins/ithor_plugin/ithor_tasks.py |
"""A wrapper for engaging with the THOR environment."""
import copy
import functools
import math
import random
from typing import Tuple, Dict, List, Set, Union, Any, Optional, Mapping, cast
import ai2thor.server
import networkx as nx
import numpy as np
from ai2thor.controller import Controller
from scipy.spatial.tran... | ask4help-main | allenact_plugins/ithor_plugin/ithor_environment.py |
ask4help-main | allenact_plugins/ithor_plugin/__init__.py | |
"""Common constants used when training agents to complete tasks in iTHOR, the
interactive version of AI2-THOR."""
from collections import OrderedDict
from typing import Set, Dict
MOVE_AHEAD = "MoveAhead"
ROTATE_LEFT = "RotateLeft"
ROTATE_RIGHT = "RotateRight"
LOOK_DOWN = "LookDown"
LOOK_UP = "LookUp"
END = "End"
VIS... | ask4help-main | allenact_plugins/ithor_plugin/ithor_constants.py |
import glob
import math
import os
import platform
from contextlib import contextmanager
from typing import Sequence
import Xlib
import Xlib.display
import ai2thor.controller
@contextmanager
def include_object_data(controller: ai2thor.controller.Controller):
needs_reset = len(controller.last_event.metadata["objec... | ask4help-main | allenact_plugins/ithor_plugin/ithor_util.py |
import copy
from typing import Any, Dict, Optional, Union, Sequence
import ai2thor.controller
import gym
import gym.spaces
import numpy as np
import torch
from allenact.base_abstractions.sensor import Sensor
from allenact.embodiedai.sensors.vision_sensors import RGBSensor
from allenact.base_abstractions.task import T... | ask4help-main | allenact_plugins/ithor_plugin/ithor_sensors.py |
import copy
import json
import math
import os
from typing import Tuple, Sequence, Union, Dict, Optional, Any, cast, Generator, List
import cv2
import numpy as np
from PIL import Image, ImageDraw
from ai2thor.controller import Controller
from matplotlib import pyplot as plt
from matplotlib.figure import Figure
import c... | ask4help-main | allenact_plugins/ithor_plugin/ithor_viz.py |
import copy
import random
from typing import List, Dict, Optional, Any, Union, cast
import gym
from allenact.base_abstractions.sensor import Sensor
from allenact.base_abstractions.task import TaskSampler
from allenact.utils.experiment_utils import set_deterministic_cudnn, set_seed
from allenact.utils.system import ge... | ask4help-main | allenact_plugins/ithor_plugin/ithor_task_samplers.py |
import os
from allenact_plugins.robothor_plugin.scripts.make_objectnav_debug_dataset import (
create_debug_dataset_from_train_dataset,
)
if __name__ == "__main__":
CURRENT_PATH = os.getcwd()
SCENE = "FloorPlan1"
TARGET = "Apple"
EPISODES = [0, 7, 11, 12]
BASE_OUT = os.path.join(CURRENT_PATH, ... | ask4help-main | allenact_plugins/ithor_plugin/scripts/make_objectnav_debug_dataset.py |
ask4help-main | allenact_plugins/ithor_plugin/scripts/__init__.py | |
import os
from allenact_plugins.robothor_plugin.scripts.make_objectnav_debug_dataset import (
create_debug_dataset_from_train_dataset,
)
if __name__ == "__main__":
CURRENT_PATH = os.getcwd()
SCENE = "FloorPlan1"
EPISODES = [0, 7, 11, 12]
BASE_OUT = os.path.join(CURRENT_PATH, "datasets", "ithor-poi... | ask4help-main | allenact_plugins/ithor_plugin/scripts/make_pointnav_debug_dataset.py |
from collections import OrderedDict
from typing import Dict, Any, Optional, List, cast
import gym
import numpy as np
import torch
from gym.spaces.dict import Dict as SpaceDict
from allenact.base_abstractions.preprocessor import Preprocessor
from allenact.utils.cacheless_frcnn import fasterrcnn_resnet50_fpn
from allen... | ask4help-main | allenact_plugins/robothor_plugin/robothor_preprocessors.py |
import copy
import gzip
import json
import random
import itertools
from typing import List, Optional, Union, Dict, Any, cast, Tuple
import gym
import numpy as np
from allenact.base_abstractions.sensor import Sensor
from allenact.base_abstractions.task import TaskSampler
from allenact.utils.cache_utils import str_to_p... | ask4help-main | allenact_plugins/robothor_plugin/robothor_task_samplers.py |
import copy
import glob
import math
import pickle
import random
import warnings
from typing import Any, Optional, Dict, List, Union, Tuple, Collection
from ai2thor.fifo_server import FifoServer
import ai2thor.server
import numpy as np
from ai2thor.controller import Controller
from ai2thor.util import metrics
from all... | ask4help-main | allenact_plugins/robothor_plugin/robothor_environment.py |
MOVE_AHEAD = "MoveAhead"
ROTATE_LEFT = "RotateLeft"
ROTATE_RIGHT = "RotateRight"
LOOK_DOWN = "LookDown"
LOOK_UP = "LookUp"
END = "End"
PASS = "Pass"
| ask4help-main | allenact_plugins/robothor_plugin/robothor_constants.py |
from typing import Tuple
import torch
from allenact.base_abstractions.distributions import CategoricalDistr, Distr
class TupleCategoricalDistr(Distr):
def __init__(self, probs=None, logits=None, validate_args=None):
self.dists = CategoricalDistr(
probs=probs, logits=logits, validate_args=val... | ask4help-main | allenact_plugins/robothor_plugin/robothor_distributions.py |
from typing import Tuple, Dict, Union, Sequence, Optional, cast
import gym
import torch
import torch.nn as nn
from gym.spaces import Dict as SpaceDict
from allenact.algorithms.onpolicy_sync.policy import (
ActorCriticModel,
LinearActorCriticHead,
DistributionType,
Memory,
ObservationType,
)
from a... | ask4help-main | allenact_plugins/robothor_plugin/robothor_models.py |
ask4help-main | allenact_plugins/robothor_plugin/__init__.py | |
import math
from typing import Tuple, List, Dict, Any, Optional, Union, Sequence, cast
import gym
import numpy as np
from allenact.base_abstractions.misc import RLStepResult
from allenact.base_abstractions.sensor import Sensor
from allenact.base_abstractions.task import Task
from allenact.utils.system import get_logg... | ask4help-main | allenact_plugins/robothor_plugin/robothor_tasks.py |
from typing import Any, Tuple, Optional, Union
import gym
import numpy as np
import quaternion # noqa # pylint: disable=unused-import
from allenact.base_abstractions.sensor import Sensor
from allenact.embodiedai.sensors.vision_sensors import RGBSensor, DepthSensor
from allenact.base_abstractions.task import Task
fro... | ask4help-main | allenact_plugins/robothor_plugin/robothor_sensors.py |
import copy
import json
import math
import os
from typing import Tuple, Sequence, Union, Dict, Optional, Any, cast, Generator, List
import cv2
import numpy as np
from PIL import Image, ImageDraw
from ai2thor.controller import Controller
from matplotlib import pyplot as plt
from matplotlib.figure import Figure
import c... | ask4help-main | allenact_plugins/robothor_plugin/robothor_viz.py |
ask4help-main | allenact_plugins/robothor_plugin/configs/__init__.py | |
import gzip
import json
import os
from typing import Sequence, Optional
from allenact_plugins.robothor_plugin.robothor_task_samplers import (
ObjectNavDatasetTaskSampler,
)
def create_debug_dataset_from_train_dataset(
scene: str,
target_object_type: Optional[str],
episodes_subset: Sequence[int],
... | ask4help-main | allenact_plugins/robothor_plugin/scripts/make_objectnav_debug_dataset.py |
ask4help-main | allenact_plugins/robothor_plugin/scripts/__init__.py | |
import os
from allenact_plugins.robothor_plugin.scripts.make_objectnav_debug_dataset import (
create_debug_dataset_from_train_dataset,
)
if __name__ == "__main__":
CURRENT_PATH = os.getcwd()
SCENE = "FloorPlan_Train1_1"
EPISODES = [3, 4, 5, 6]
BASE_OUT = os.path.join(CURRENT_PATH, "datasets", "rob... | ask4help-main | allenact_plugins/robothor_plugin/scripts/make_pointnav_debug_dataset.py |
import random
from typing import Tuple, Any, List, Dict, Optional, Union, Callable, Sequence, cast
import gym
import networkx as nx
import numpy as np
from gym.utils import seeding
from gym_minigrid.envs import CrossingEnv
from gym_minigrid.minigrid import (
DIR_TO_VEC,
IDX_TO_OBJECT,
MiniGridEnv,
OBJE... | ask4help-main | allenact_plugins/minigrid_plugin/minigrid_tasks.py |
import copy
from typing import Optional, Set
import numpy as np
from gym import register
from gym_minigrid.envs import CrossingEnv
from gym_minigrid.minigrid import Lava, Wall
class FastCrossing(CrossingEnv):
"""Similar to `CrossingEnv`, but to support faster task sampling as per
`repeat_failed_task_for_min_... | ask4help-main | allenact_plugins/minigrid_plugin/minigrid_environments.py |
from allenact.utils.system import ImportChecker
with ImportChecker(
"\n\nPlease install babyai with:\n\n"
"pip install -e git+https://github.com/Lucaweihs/babyai.git@0b450eeb3a2dc7116c67900d51391986bdbb84cd#egg=babyai\n",
):
import babyai
| ask4help-main | allenact_plugins/minigrid_plugin/__init__.py |
import os
import queue
import random
from collections import defaultdict
from typing import Dict, Tuple, Any, cast, Iterator, List, Union, Optional
import babyai
import blosc
import numpy as np
import pickle5 as pickle
import torch
from gym_minigrid.minigrid import MiniGridEnv
from allenact.algorithms.offpolicy_sync.... | ask4help-main | allenact_plugins/minigrid_plugin/minigrid_offpolicy.py |
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