python_code stringlengths 0 4.04M | repo_name stringlengths 8 58 | file_path stringlengths 5 147 |
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# Copyright (c) 2021-present, Facebook, Inc.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
#
import gym
import pytest
import bisk
@pytest.fixture
def env():
env = gym.make('BiskPoleBalance-v1', robot='testcube')
obs, _ = env.rese... | bipedal-skills-main | tests/test_polebalance.py |
# Copyright (c) 2022-present, Facebook, Inc.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
#
import gym
import pytest
import numpy as np
import bisk
@pytest.fixture
def env():
env = gym.make('BiskButterflies-v1', robot='testcube')
... | bipedal-skills-main | tests/test_butterflies.py |
# Copyright (c) 2022-present, Facebook, Inc.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
#
import gym
import pytest
import numpy as np
import bisk
@pytest.fixture
def env():
env = gym.make('BiskGoToTargets-v1', robot='testcube')
... | bipedal-skills-main | tests/test_gototargets.py |
# Copyright (c) 2021-present, Facebook, Inc.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
#
import gym
import pytest
import bisk
from bisk.features.joints import JointsFeaturizer
from bisk.single_robot import BiskSingleRobotEnv
def test... | bipedal-skills-main | tests/test_features_joints.py |
# Copyright (c) 2021-present, Facebook, Inc.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
#
import gym
import pytest
import bisk
@pytest.fixture
def env():
env = gym.make('BiskHurdles-v1', robot='testcube')
obs, _ = env.reset(s... | bipedal-skills-main | tests/test_render.py |
# Copyright (c) 2021-present, Facebook, Inc.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
#
import gym
import pytest
import bisk
@pytest.fixture
def env():
env = gym.make('BiskLimbo-v1', robot='testcube')
obs, _ = env.reset(seed... | bipedal-skills-main | tests/test_limbo.py |
# Copyright (c) 2021-present, Facebook, Inc.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
#
import gym
import pytest
import bisk
@pytest.fixture
def env():
env = gym.make('BiskStairs-v1', robot='testcube')
obs, _ = env.reset(se... | bipedal-skills-main | tests/test_stairs.py |
# Copyright (c) 2022-present, Facebook, Inc.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
#
import gym
import numpy as np
import pytest
import bisk
def test_walker_fallover():
env = gym.make('BiskGoalWall-v1', robot='walker')
e... | bipedal-skills-main | tests/test_fallover.py |
# Copyright (c) 2021-present, Facebook, Inc.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
#
import gym
import pytest
import bisk
@pytest.fixture
def env():
env = gym.make('BiskHurdlesLimbo-v1', robot='testcube')
obs, _ = env.res... | bipedal-skills-main | tests/test_hurdleslimbo.py |
# Copyright (c) 2021-present, Facebook, Inc.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
#
import gym
import pytest
import bisk
@pytest.fixture
def env():
env = gym.make('BiskGaps-v1', robot='testcube')
obs, _ = env.reset(seed... | bipedal-skills-main | tests/test_gaps.py |
# Copyright (c) 2021-present, Facebook, Inc.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
#
__version__ = "2.0"
from gym.envs.registration import register
from bisk.base import BiskEnv
from bisk.single_robot import BiskSingleRobotEnv
... | bipedal-skills-main | bisk/__init__.py |
# gym.utils.seeding from gym 0.18.3
# Released under an MIT license
# (https://github.com/openai/gym/blob/0.18.3/LICENSE.md)
#
# This is provided for consistency as seeding changed with gym 0.26.
import hashlib
import numpy as np
import os
import random as _random
import struct
import sys
from gym import error
def n... | bipedal-skills-main | bisk/legacy_seeding.py |
# Copyright (c) 2021-present, Facebook, Inc.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
#
import logging
from typing import Iterable, List
import gym
import numpy as np
from bisk.base import BiskEnv
from bisk.features import make_feat... | bipedal-skills-main | bisk/single_robot.py |
# Copyright (c) 2021-present, Facebook, Inc.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
#
import os
from typing import Tuple, Iterable
import logging
import numpy as np
from gym.utils import seeding
log = logging.getLogger(__name__)
... | bipedal-skills-main | bisk/helpers.py |
# Copyright (c) 2021-present, Facebook, Inc.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
#
import logging
from typing import Optional
import gym
import numpy as np
from bisk import legacy_seeding as seeding
log = logging.getLogger(__n... | bipedal-skills-main | bisk/base.py |
# Copyright (c) 2022-present, Facebook, Inc.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
#
import logging
import gym
import numpy as np
from dm_control.utils import rewards
from bisk.single_robot import BiskSingleRobotEnv
log = loggin... | bipedal-skills-main | bisk/tasks/velocitycontrol.py |
# Copyright (c) 2021-present, Facebook, Inc.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
#
import logging
from bisect import bisect_left
from typing import Dict, List, Union
import gym
import numpy as np
from dm_control import mjcf
fro... | bipedal-skills-main | bisk/tasks/hurdleslimbo.py |
# Copyright (c) 2022-present, Facebook, Inc.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
#
import logging
from bisect import bisect_left
from typing import List
import gym
import numpy as np
from dm_control import mjcf
from dm_control.m... | bipedal-skills-main | bisk/tasks/butterflies.py |
# Copyright (c) 2021-present, Facebook, Inc.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
#
import logging
from bisect import bisect_left
from typing import List
import gym
import numpy as np
from dm_control import mjcf
from dm_control.m... | bipedal-skills-main | bisk/tasks/polebalance.py |
# Copyright (c) 2021-present, Facebook, Inc.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
#
import logging
from bisect import bisect_left
from typing import Dict, List, Union
import gym
import numpy as np
from dm_control import mjcf
fro... | bipedal-skills-main | bisk/tasks/limbo.py |
# Copyright (c) 2021-present, Facebook, Inc.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
#
import logging
from bisect import bisect_left
import gym
import numpy as np
from dm_control import mjcf
from dm_control.utils import rewards
fro... | bipedal-skills-main | bisk/tasks/goalwall.py |
# Copyright (c) 2021-present, Facebook, Inc.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
#
import logging
from bisect import bisect_left
import gym
import numpy as np
from dm_control import mjcf
from bisk.single_robot import BiskSingle... | bipedal-skills-main | bisk/tasks/hurdles.py |
# Copyright (c) 2021-present, Facebook, Inc.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
#
import logging
from bisect import bisect_left
import gym
import numpy as np
from dm_control import mjcf
from bisk.single_robot import BiskSingle... | bipedal-skills-main | bisk/tasks/stairs.py |
bipedal-skills-main | bisk/tasks/__init__.py | |
# Copyright (c) 2022-present, Facebook, Inc.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
#
import logging
import gym
import numpy as np
from dm_control import mjcf
from dm_control.utils import rewards
from bisk.single_robot import Bisk... | bipedal-skills-main | bisk/tasks/gototarget.py |
# Copyright (c) 2022-present, Facebook, Inc.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
#
import numpy as np
from bisk.single_robot import BiskSingleRobotEnv
class BiskRunDirEnv(BiskSingleRobotEnv):
'''
Dense-reward task: mov... | bipedal-skills-main | bisk/tasks/rundir.py |
# Copyright (c) 2021-present, Facebook, Inc.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
#
import logging
from bisect import bisect_left
import gym
import numpy as np
from dm_control import mjcf
from bisk.helpers import asset_path
from... | bipedal-skills-main | bisk/tasks/gaps.py |
# Copyright (c) 2021-present, Facebook, Inc.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
#
from bisk.features.base import Featurizer
_registry = {}
def register_featurizer(name, cls):
global _registry
_registry[name] = cls
d... | bipedal-skills-main | bisk/features/__init__.py |
# Copyright (c) 2021-present, Facebook, Inc.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
#
import logging
import re
from typing import List, Set
import gym
import numpy as np
from bisk.features.base import Featurizer
class JointsFeat... | bipedal-skills-main | bisk/features/joints.py |
# Copyright (c) 2021-present, Facebook, Inc.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
#
import logging
from typing import Dict, List
import gym
import numpy as np
log = logging.getLogger(__name__)
class Featurizer:
n_qpos: Dic... | bipedal-skills-main | bisk/features/base.py |
# Copyright (c) 2021-present, Facebook, Inc.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
#
import argparse
import time
import gym
from dm_control import _render
from dm_control.viewer import gui, renderer, viewer, views
import bisk
pa... | bipedal-skills-main | exp/testgui.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import os
import yaml
def load_configs(file_path, ws_dir):
with open(file_path, 'r') as f:
config_dict = yaml... | AutoAvatar-main | utils/configs.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import numpy as np
import os
import torch
import pickle
from pytorch3d.io import load_ply
# Classes ---------------------... | AutoAvatar-main | utils/DFaust.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import numpy as np
import os
import torch
import torch.nn as nn
import torch.nn.functional as F
from pytorch3d.renderer imp... | AutoAvatar-main | utils/render.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import os
import torch
def load_components(model, ckpt_dir, ckpt_itr, name):
state_dict = model.state_dict()
ckpt... | AutoAvatar-main | utils/io.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
# import openvdb as vdb
import numpy as np
import os
import torch
import torch.nn.functional as F
import math
from skimage ... | AutoAvatar-main | utils/implicit.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import numpy as np
import pickle
import os
import torch
import torch.nn.functional as F
from pytorch3d.ops import norm_lapl... | AutoAvatar-main | utils/CAPE.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import numpy as np
import os
import copy
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.nn.m... | AutoAvatar-main | models/nets.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import pickle
import numpy as np
import os
import copy
import shutil, inspect
import torch
import torch.nn.functional as F
... | AutoAvatar-main | models/std/trainbox.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import pickle
import numpy as np
import os
import matplotlib.pyplot as plt
import torch
import torch.nn as nn
import torch.... | AutoAvatar-main | models/std/visual.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import numpy as np
import os
import copy
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.au... | AutoAvatar-main | models/std/nets.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import pickle
import numpy as np
import os
import copy
import shutil, inspect
import torch
import torch.nn.functional as F
... | AutoAvatar-main | models/PosedDecKNN_dPoses_dHs/trainbox.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import numpy as np
import os
import copy
import matplotlib.pyplot as plt
import torch
import torch.nn as nn
import torch.nn... | AutoAvatar-main | models/PosedDecKNN_dPoses_dHs/nets.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import numpy as np
import os
import torch
from torch.utils.data import DataLoader
import pickle
import datetime
import shut... | AutoAvatar-main | exps/PosedDecKNN_dPoses_dHs/implicit_eval_dfaust.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import numpy as np
import os
import torch
from torch.utils.data import DataLoader
import pickle
import datetime
import shut... | AutoAvatar-main | exps/PosedDecKNN_dPoses_dHs/implicit_train_dfaust.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import numpy as np
import os
import copy
import torch
from torch.utils.data import Dataset
from pytorch3d.io import load_pl... | AutoAvatar-main | data/CAPE_dataset.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import torch
import numpy as np
import h5py
import sys
import os
import copy
import pickle
import yaml
import smplx
import ... | AutoAvatar-main | data/DFaust_generate.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import numpy as np
import os
import copy
import pickle
import torch
from torch.utils.data import Dataset
from pytorch3d.io ... | AutoAvatar-main | data/DFaust_dataset.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import os
import numpy as np
import pickle
import utils.CAPE as cape_utils
def CAPE_parse_raw(raw_dataset_dir, out_dir, ... | AutoAvatar-main | data/CAPE_generate.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import numpy as np
import os
import copy
import pickle
import torch
from torch.utils.data import Dataset
from pytorch3d.io ... | AutoAvatar-main | data/Aist_dataset.py |
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import argparse
import builtins
import math
import os
import random
import shutil
import time
import warnings
import sys
import operator
from datetime import date
import torch
import torch.nn as nn
#from torch.utils.tensorboard import SummaryWrite... | AttentiveNAS-main | train_attentive_nas.py |
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import argparse
import builtins
import math
import os
import random
import shutil
import time
import warnings
import sys
from datetime import date
import torch
import torch.nn as nn
import torch.nn.parallel
import torch.backends.cudnn as cudnn
imp... | AttentiveNAS-main | test_attentive_nas.py |
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
# Implementation adapted from Slimmable - https://github.com/JiahuiYu/slimmable_networks
import torch
class CrossEntropyLossSoft(torch.nn.modules.loss._Loss):
""" inplace distillation for image classification """
def forward(self, output, ... | AttentiveNAS-main | utils/loss_ops.py |
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import atexit
import builtins
import decimal
import functools
import logging
import os
import sys
from .comm import is_master_process as is_master_proc
def _suppress_print():
"""
Suppresses printing from the current process.
"""
d... | AttentiveNAS-main | utils/logging.py |
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
# implementation adapted from Slimmable: https://github.com/JiahuiYu/slimmable_networks
"""config utilities for yml file."""
import os
import sys
import yaml
class LoaderMeta(type):
"""Constructor for supporting `!include`.
"""
def __... | AttentiveNAS-main | utils/config.py |
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import functools
import logging
import pickle
import torch
import torch.distributed as dist
def get_world_size():
if not dist.is_available():
return 1
if not dist.is_initialized():
return 1
return dist.get_world_size()... | AttentiveNAS-main | utils/comm.py |
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
from copy import deepcopy
import torch
import os
import shutil
import joblib
def copy_file(source_path, target_path):
shutil.copyfile(source_path, target_path)
def save_acc_predictor(args, acc_predictor):
args.curr_acc_predictor_path = o... | AttentiveNAS-main | utils/saver.py |
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
# Implementation adapted from OFA - https://github.com/mit-han-lab/once-for-all
import torch
import torch.nn as nn
import copy
multiply_adds = 1
def count_convNd(m, _, y):
cin = m.in_channels
kernel_ops = m.weight.size()[2] * m.weight.... | AttentiveNAS-main | utils/flops_counter.py |
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import sys
import torch
import torch.nn as nn
class AverageMeter(object):
"""Computes and stores the average and current value"""
def __init__(self, name, fmt=':f'):
self.name = name
self.fmt = fmt
self.reset()
... | AttentiveNAS-main | utils/progress.py |
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
# Implementation adapted from OFA: https://github.com/mit-han-lab/once-for-all
import copy
import random
import collections
import math
import torch
import torch.nn as nn
from .modules.dynamic_layers import DynamicMBConvLayer, DynamicConvBnActLay... | AttentiveNAS-main | models/attentive_nas_dynamic_model.py |
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
from .model_factory import *
| AttentiveNAS-main | models/__init__.py |
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
# adapted from OFA: https://github.com/mit-han-lab/once-for-all
import torch
import torch.nn as nn
from torch.autograd import Variable
import torch.nn.functional as F
import math
from .modules.static_layers import set_layer_from_config, MBInverte... | AttentiveNAS-main | models/attentive_nas_static_model.py |
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
from .attentive_nas_dynamic_model import AttentiveNasDynamicModel
def create_model(args, arch=None):
n_classes = int(getattr(args, 'n_classes', 1000))
bn_momentum = getattr(args, 'bn_momentum', 0.1)
bn_eps = getattr(args, 'bn_eps', 1e... | AttentiveNAS-main | models/model_factory.py |
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
# adapted from OFA: https://github.com/mit-han-lab/once-for-all
from collections import OrderedDict
import torch.nn as nn
from .nn_utils import get_same_padding, build_activation, make_divisible, drop_connect
from .nn_base import MyModule
from .act... | AttentiveNAS-main | models/modules/static_layers.py |
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
# adapted from OFA: https://github.com/mit-han-lab/once-for-all
import math
import torch
import torch.nn as nn
try:
from fvcore.common.file_io import PathManager
except:
pass
class MyModule(nn.Module):
def forward(self, x):
... | AttentiveNAS-main | models/modules/nn_base.py |
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
# adapted from OFA: https://github.com/mit-han-lab/once-for-all
import torch
import torch.nn as nn
import torch.nn.functional as F
# A memory-efficient implementation of Swish function
class SwishImplementation(torch.autograd.Function):
@stati... | AttentiveNAS-main | models/modules/activations.py |
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
# adapted from OFA: https://github.com/mit-han-lab/once-for-all
from collections import OrderedDict
import copy
import torch
import torch.nn as nn
import torch.nn.functional as F
from .static_layers import MBInvertedConvLayer, ConvBnActLayer, Lin... | AttentiveNAS-main | models/modules/dynamic_layers.py |
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
| AttentiveNAS-main | models/modules/__init__.py |
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
# adapted from OFA: https://github.com/mit-han-lab/once-for-all
import torch.nn as nn
from .activations import *
def make_divisible(v, divisor=8, min_value=1):
"""
forked from slim:
https://github.com/tensorflow/models/blob/\
0344... | AttentiveNAS-main | models/modules/nn_utils.py |
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
# adapted from OFA: https://github.com/mit-han-lab/once-for-all
from torch.autograd.function import Function
import torch.nn.functional as F
from torch.nn.parameter import Parameter
import torch.nn as nn
import torch
from torch.nn.modules._function... | AttentiveNAS-main | models/modules/dynamic_ops.py |
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import torch
import torch.nn as nn
from .lr_scheduler import WarmupCosineLR, WarmupMultiStepLR, WarmupLinearDecayLR, ConstantLR
def build_optimizer(args, model):
"""
Build an optimizer from config.
"""
no_wd_params, wd_params ... | AttentiveNAS-main | solver/build.py |
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import torch
import math
from bisect import bisect_right
from typing import List
class WarmupCosineLR(torch.optim.lr_scheduler._LRScheduler):
def __init__(self,
optimizer,
max_iters,
warmup_factor = 0.001,
warm... | AttentiveNAS-main | solver/lr_scheduler.py |
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
from .build import build_optimizer, build_lr_scheduler
| AttentiveNAS-main | solver/__init__.py |
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import torch
import torch.nn as nn
import torch.nn.parallel
import torch.backends.cudnn as cudnn
import torch.distributed as dist
import torch.optim
import torch.multiprocessing as mp
import torch.utils.data
import torch.utils.data.distributed
impo... | AttentiveNAS-main | evaluate/imagenet_eval.py |
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import torch
import torch.nn as nn
import torch.nn.parallel
import torch.backends.cudnn as cudnn
import torch.distributed as dist
import torch.optim
import torch.multiprocessing as mp
import torch.utils.data
import torch.utils.data.distributed
imp... | AttentiveNAS-main | evaluate/attentive_nas_eval.py |
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import sys
import atexit
import os
import random
import copy
def count_helper(v, flops, m):
if flops not in m:
m[flops] = {}
if v not in m[flops]:
m[flops][v] = 0
m[flops][v] += 1
def round_flops(flops, step):
re... | AttentiveNAS-main | sampler/attentive_nas_sampler.py |
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
""" Auto Augment
Implementation adapted from timm: https://github.com/rwightman/pytorch-image-models
"""
import random
import math
from PIL import Image, ImageOps, ImageEnhance
import PIL
_PIL_VER = tuple([int(x) for x in PIL.__version__.split('... | AttentiveNAS-main | data/auto_augment_tf.py |
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
from __future__ import print_function
import torch
import torchvision.transforms.functional as F
from torchvision import datasets, transforms
from torch.utils.data import Dataset
import math
import sys
import random
from PIL import Image
from tor... | AttentiveNAS-main | data/data_loader.py |
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
| AttentiveNAS-main | data/__init__.py |
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import torch
from PIL import Image
import numpy as np
import torchvision.transforms as transforms
from .auto_augment_tf import (
auto_augment_policy,
AutoAugment,
)
IMAGENET_PIXEL_MEAN = [123.675, 116.280, 103.530]
IMAGENET_PIXEL_STD = [... | AttentiveNAS-main | data/data_transform.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 argparse
import distutils.command.build
import distutils.util
import fnmatch
import glob
import io
import os
i... | CompilerGym-development | setup.py |
# 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 compiler_gym
from compiler_gym.envs import LlvmEnv
from tests.test_main import main
def test_compiler_gym_make():
"""Test that com... | CompilerGym-development | tests/make_test.py |
# 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.
"""Unit tests for //compiler_gym/envs."""
import gym
import pytest
from flaky import flaky
from compiler_gym.envs import llvm
from compiler_gy... | CompilerGym-development | tests/compiler_env_test.py |
# 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.
"""Tests for the copy() and deepcopy() operators on ClientServiceCompilerEnv."""
from copy import copy, deepcopy
import pytest
from compiler_... | CompilerGym-development | tests/env_copy_test.py |
# 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.
#
# tests/**/__init__.py files are needed for pytest Python path resolution. See:
# https://docs.pytest.org/en/latest/explanation/pythonpath.ht... | CompilerGym-development | tests/__init__.py |
# 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.
"""Unit tests for //compiler_gym:validate."""
import gym
import pytest
from compiler_gym import CompilerEnvState, validate_states
from tests.t... | CompilerGym-development | tests/validate_test.py |
# 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 pkg_resources
import compiler_gym
from compiler_gym.util.runfiles_path import runfiles_path
from packaging import version
from tests.py... | CompilerGym-development | tests/version_test.py |
# 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.
"""Unit tests for //compiler_gym:compiler_env_state."""
import json
from io import StringIO
from pathlib import Path
import pytest
import requ... | CompilerGym-development | tests/compiler_env_state_test.py |
# 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.
"""Unit tests for //compiler_gym/bin:random_search."""
import tempfile
from pathlib import Path
import gym
from compiler_gym.random_search im... | CompilerGym-development | tests/random_search_test.py |
# 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 os
import sys
from getpass import getuser
from typing import List, Optional
import pytest
from compiler_gym.util import debug_util as ... | CompilerGym-development | tests/test_main.py |
# 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.
"""Unit tests for //compiler_gym:validation_result."""
import json
import pytest
from compiler_gym import CompilerEnvState, ValidationError, ... | CompilerGym-development | tests/validation_result_test.py |
# 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.
"""Unit tests for //compiler_gym/wrappers."""
from compiler_gym.envs.llvm import LlvmEnv
from compiler_gym.wrappers import CommandlineWithTermi... | CompilerGym-development | tests/wrappers/commandline_wrappers_test.py |
# 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.
"""Unit tests for compiler_gym.wrappers.llvm."""
import numpy as np
import pytest
from flaky import flaky
from compiler_gym.envs.llvm import L... | CompilerGym-development | tests/wrappers/llvm_test.py |
# 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.
"""Unit tests for //compiler_gym/wrappers."""
from compiler_gym.envs.llvm import LlvmEnv
from compiler_gym.wrappers import Counter
from tests.t... | CompilerGym-development | tests/wrappers/counter_test.py |
# 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.
"""Unit tests for //compiler_gym/wrappers."""
from compiler_gym.envs.llvm import LlvmEnv
from compiler_gym.wrappers import CycleOverBenchmarks,... | CompilerGym-development | tests/wrappers/time_limit_wrappers_test.py |
# 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.
"""Unit tests for //compiler_gym/wrappers."""
import pytest
from compiler_gym.envs.llvm import LlvmEnv
from compiler_gym.wrappers import (
... | CompilerGym-development | tests/wrappers/datasets_wrappers_test.py |
# 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.
#
# tests/**/__init__.py files are needed for pytest Python path resolution. See:
# https://docs.pytest.org/en/latest/explanation/pythonpath.ht... | CompilerGym-development | tests/wrappers/__init__.py |
# 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.
"""Unit tests for //compiler_gym/wrappers."""
import pytest
from pytest import warns
from compiler_gym.datasets import Datasets
from compiler_... | CompilerGym-development | tests/wrappers/core_wrappers_test.py |
# 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.
"""Unit tests for //compiler_gym/wrappers."""
import pytest
from compiler_gym.envs.llvm import LlvmEnv
from compiler_gym.wrappers import Compi... | CompilerGym-development | tests/wrappers/sqlite_logger_test.py |
# 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.
"""Unit tests for compiler_gym.wrappers.llvm."""
import pytest
from compiler_gym.envs.llvm import LlvmEnv
from compiler_gym.wrappers import Va... | CompilerGym-development | tests/wrappers/validation_test.py |
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