python_code stringlengths 0 4.04M | repo_name stringlengths 8 58 | file_path stringlengths 5 147 |
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# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This software may be used and distributed according to the terms of the
# GNU General Public License version 2.
import argparse
import math
import json
import re
from datetime import datetime
from typing import Any, Dict, Optional, Union
import matplotlib.pypl... | AutoCAT-main | src/cyclone_data/draw_figure.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This software may be used and distributed according to the terms of the
# GNU General Public License version 2.
from typing import Any, Dict, Optional
import torch
import torch.nn as nn
from cache_ppo_mlp_model import CachePPOMlpModel
from cache_ppo_lstm_model... | AutoCAT-main | src/rlmeta/model_utils.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This software may be used and distributed according to the terms of the
# GNU General Public License version 2.
import logging
from typing import Dict, Optional, Sequence
import hydra
from omegaconf import DictConfig, OmegaConf
import numpy as np
import torc... | AutoCAT-main | src/rlmeta/sample_cyclone.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This software may be used and distributed according to the terms of the
# GNU General Public License version 2.
import copy
import logging
import os
import time
import hydra
from omegaconf import DictConfig, OmegaConf
import torch
import torch.multiprocessing ... | AutoCAT-main | src/rlmeta/train_ppo_attack.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This software may be used and distributed according to the terms of the
# GNU General Public License version 2.
# Author: Mulong Luo
# date: 2022.6.28
# usage: to train the svm classifier of cycloen by feeding
# the date from TextbookAgent as malicious traces
... | AutoCAT-main | src/rlmeta/cyclone_svm_trainer.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This software may be used and distributed according to the terms of the
# GNU General Public License version 2.
import logging
import os
import sys
from typing import Dict, Optional, Sequence, Union
import hydra
from omegaconf import DictConfig, OmegaConf
imp... | AutoCAT-main | src/rlmeta/sample_cchunter.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This software may be used and distributed according to the terms of the
# GNU General Public License version 2.
from rlmeta.core.callbacks import EpisodeCallbacks
from rlmeta.core.types import Action, TimeStep
class MetricCallbacks(EpisodeCallbacks):
def _... | AutoCAT-main | src/rlmeta/metric_callbacks.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This software may be used and distributed according to the terms of the
# GNU General Public License version 2.
import os
import sys
from typing import Dict, List, Tuple
import gym
import torch
import torch.nn as nn
import torch.nn.functional as F
import rlm... | AutoCAT-main | src/rlmeta/cache_ppo_transformer_model.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This software may be used and distributed according to the terms of the
# GNU General Public License version 2.
from cProfile import label
from tkinter import font
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
import numpy as np
import m... | AutoCAT-main | src/rlmeta/cchunter_plot.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This software may be used and distributed according to the terms of the
# GNU General Public License version 2.
import logging
import os
import sys
from typing import Dict, Optional, Sequence, Union
import hydra
from omegaconf import DictConfig, OmegaConf
imp... | AutoCAT-main | src/rlmeta/sample_cchunter_textbook.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This software may be used and distributed according to the terms of the
# GNU General Public License version 2.
# script for plotting figure on paper
import logging
from typing import Dict
#import hydra
#import torch
#import torch.nn
import os
import sys
sys... | AutoCAT-main | src/rlmeta/plot_cchunter.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This software may be used and distributed according to the terms of the
# GNU General Public License version 2.
import logging
from typing import Dict, Optional
import hydra
from omegaconf import DictConfig, OmegaConf
import torch
import torch.nn
import rlme... | AutoCAT-main | src/rlmeta/sample_attack.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This software may be used and distributed according to the terms of the
# GNU General Public License version 2.
import copy
import logging
import os
import time
import hydra
from omegaconf import DictConfig, OmegaConf
import torch
import torch.multiprocessing ... | AutoCAT-main | src/rlmeta/train_ppo_cchunter.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This software may be used and distributed according to the terms of the
# GNU General Public License version 2.
import argparse
import math
import json
import re
from datetime import datetime
from typing import Any, Dict, Optional, Union
import matplotlib.pypl... | AutoCAT-main | src/rlmeta/plot_figure_remap.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This software may be used and distributed according to the terms of the
# GNU General Public License version 2.
import os
import sys
from typing import Dict, List, Tuple
import gym
import torch
import torch.nn as nn
import torch.nn.functional as F
import rlm... | AutoCAT-main | src/rlmeta/cache_ppo_mlp_model.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This software may be used and distributed according to the terms of the
# GNU General Public License version 2.
import logging
import os
import sys
from typing import Dict, Optional, Sequence, Union
import hydra
from omegaconf import DictConfig, OmegaConf
imp... | AutoCAT-main | src/rlmeta/sample_cyclone_textbook.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This software may be used and distributed according to the terms of the
# GNU General Public License version 2.
import os
import sys
from typing import Any, Dict
from rlmeta.envs.env import Env, EnvFactory
from rlmeta.envs.gym_wrapper import GymWrapper
sys.pa... | AutoCAT-main | src/rlmeta/cache_env_wrapper.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This software may be used and distributed according to the terms of the
# GNU General Public License version 2.
import os
import sys
from typing import Dict, List, Tuple
import gym
import torch
import torch.nn as nn
import torch.nn.functional as F
import rlm... | AutoCAT-main | src/rlmeta/cache_ppo_lstm_model.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This software may be used and distributed according to the terms of the
# GNU General Public License version 2.
# a textbook prime probe attacker that serve as the agent
# which can have high reward for the cache guessing game
# used to generate the attack sequ... | AutoCAT-main | src/rlmeta/textbook_attacker.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This software may be used and distributed according to the terms of the
# GNU General Public License version 2.
import seaborn as sns
data=[[2, 6, 1, 1, 1, 2, 1, 1, 9, 5, 1, 4, 1, 8, 0, 2, 2, 0, 6, 1, 2, 2, 0, 0, 1, 2, 1, 1, 2, 4, 3, 3, 1, 0, 1, 2, 0, 3, 2, 1],... | AutoCAT-main | src/rlmeta/plot_heatmap.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This software may be used and distributed according to the terms of the
# GNU General Public License version 2.
import copy
import logging
import os
import time
import hydra
from omegaconf import DictConfig, OmegaConf
import torch
import torch.multiprocessing ... | AutoCAT-main | src/rlmeta/train_ppo_cyclone.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This software may be used and distributed according to the terms of the
# GNU General Public License version 2.
import argparse
import json
import re
from tabulate import tabulate
from typing import Any, Dict, Optional, Union
from rlmeta.utils.stats_dict impor... | AutoCAT-main | src/rlmeta/data/show_log.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This software may be used and distributed according to the terms of the
# GNU General Public License version 2.
#!/usr/bin/env python
import matplotlib.pyplot as plt
fontaxes = {
'family': 'Arial',
'color': 'black',
'weight': 'bold',
... | AutoCAT-main | src/stealthy_streamline/plot/plot_error_rate.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This software may be used and distributed according to the terms of the
# GNU General Public License version 2.
#!/usr/bin/env python
Error_all = [[ 0 for i in range(5)] for j in range(5)]
for test_idx in range(5):
for bandwidth_idx in range (1,6):
... | AutoCAT-main | src/stealthy_streamline/process_error_rate_1thread/collect_stat.py |
# Copyright (c) Facebook, Inc. and its 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.
from pathlib import Path
import argparse
import json
import os
import random
import signal
import sys
import time
import ur... | barlowtwins-main | evaluate.py |
# Copyright (c) Facebook, Inc. and its 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
from torchvision.models.resnet import resnet50 as _resnet50
dependencies = ['torch', 'torchvision']
def res... | barlowtwins-main | hubconf.py |
# Copyright (c) Facebook, Inc. and its 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.
from pathlib import Path
import argparse
import json
import math
import os
import random
import signal
import subprocess
im... | barlowtwins-main | main.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import torch
import datetime
import logging
import math
import time
import sys
from torch.distributed.distributed_c10d import reduce
from utils.ap_calculator import APCalculator
from utils.misc import SmoothedValue
from utils.dist import (
all_gather_dict,
all... | 3detr-main | engine.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import torch
def build_optimizer(args, model):
params_with_decay = []
params_without_decay = []
for name, param in model.named_parameters():
if param.requires_grad is False:
continue
if args.filter_biases_wd and (len(param.sha... | 3detr-main | optimizer.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import torch
import torch.nn as nn
import numpy as np
import torch.nn.functional as F
from utils.box_util import generalized_box3d_iou
from utils.dist import all_reduce_average
from utils.misc import huber_loss
from scipy.optimize import linear_sum_assignment
class M... | 3detr-main | criterion.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import argparse
import os
import sys
import pickle
import numpy as np
import torch
from torch.multiprocessing import set_start_method
from torch.utils.data import DataLoader, DistributedSampler
# 3DETR codebase specific imports
from datasets import build_dataset
fro... | 3detr-main | main.py |
# Copyright (c) Facebook, Inc. and its affiliates.
"""
Modified from https://github.com/facebookresearch/votenet
Dataset for 3D object detection on SUN RGB-D (with support of vote supervision).
A sunrgbd oriented bounding box is parameterized by (cx,cy,cz), (l,w,h) -- (dx,dy,dz) in upright depth coord
(Z is up, Y i... | 3detr-main | datasets/sunrgbd.py |
# Copyright (c) Facebook, Inc. and its affiliates.
from .scannet import ScannetDetectionDataset, ScannetDatasetConfig
from .sunrgbd import SunrgbdDetectionDataset, SunrgbdDatasetConfig
DATASET_FUNCTIONS = {
"scannet": [ScannetDetectionDataset, ScannetDatasetConfig],
"sunrgbd": [SunrgbdDetectionDataset, Sunrgb... | 3detr-main | datasets/__init__.py |
# Copyright (c) Facebook, Inc. and its affiliates.
"""
Modified from https://github.com/facebookresearch/votenet
Dataset for object bounding box regression.
An axis aligned bounding box is parameterized by (cx,cy,cz) and (dx,dy,dz)
where (cx,cy,cz) is the center point of the box, dx is the x-axis length of the box.
"... | 3detr-main | datasets/scannet.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import torch
import numpy as np
from collections import deque
from typing import List
from utils.dist import is_distributed, barrier, all_reduce_sum
def my_worker_init_fn(worker_id):
np.random.seed(np.random.get_state()[1][0] + worker_id)
@torch.jit.ignore
def ... | 3detr-main | utils/misc.py |
# Copyright (c) Facebook, Inc. and its affiliates.
from setuptools import setup, Extension
from Cython.Build import cythonize
import numpy as np
# hacky way to find numpy include path
# replace with actual path if this does not work
np_include_path = np.__file__.replace("__init__.py", "core/include/")
INCLUDE_PATH =... | 3detr-main | utils/cython_compile.py |
# Copyright (c) Facebook, Inc. and its affiliates.
""" Generic Code for Object Detection Evaluation
Input:
For each class:
For each image:
Predictions: box, score
Groundtruths: box
Output:
For each class:
precision-recal and average precision
Autho... | 3detr-main | utils/eval_det.py |
# Copyright (c) Facebook, Inc. and its affiliates.
""" Utility functions for processing point clouds.
Author: Charles R. Qi and Or Litany
"""
import os
import sys
import torch
# Point cloud IO
import numpy as np
from plyfile import PlyData, PlyElement
# Mesh IO
import trimesh
# -----------------------------------... | 3detr-main | utils/pc_util.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import torch
import os
from utils.dist import is_primary
def save_checkpoint(
checkpoint_dir,
model_no_ddp,
optimizer,
epoch,
args,
best_val_metrics,
filename=None,
):
if not is_primary():
return
if filename is None:
... | 3detr-main | utils/io.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import os
from urllib import request
import torch
import pickle
## Define the weights you want and where to store them
dataset = "scannet"
encoder = "_masked" # or ""
epoch = 1080
base_url = "https://dl.fbaipublicfiles.com/3detr/checkpoints"
local_dir = "/tmp/"
###... | 3detr-main | utils/download_weights.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import numpy as np
# boxes are axis aigned 2D boxes of shape (n,5) in FLOAT numbers with (x1,y1,x2,y2,score)
""" Ref: https://www.pyimagesearch.com/2015/02/16/faster-non-maximum-suppression-python/
Ref: https://github.com/vickyboy47/nms-python/blob/master/nms.py
"""... | 3detr-main | utils/nms.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import torch
try:
from tensorboardX import SummaryWriter
except ImportError:
print("Cannot import tensorboard. Will log to txt files only.")
SummaryWriter = None
from utils.dist import is_primary
class Logger(object):
def __init__(self, log_dir=Non... | 3detr-main | utils/logger.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import numpy as np
def check_aspect(crop_range, aspect_min):
xy_aspect = np.min(crop_range[:2]) / np.max(crop_range[:2])
xz_aspect = np.min(crop_range[[0, 2]]) / np.max(crop_range[[0, 2]])
yz_aspect = np.min(crop_range[1:]) / np.max(crop_range[1:])
re... | 3detr-main | utils/random_cuboid.py |
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
"""
Utilities for bounding box manipulation and GIoU.
"""
import torch
from torchvision.ops.boxes import box_area
from typing import List
try:
from box_intersection import batch_intersect
except ImportError:
print("Could not import cythonize... | 3detr-main | utils/box_ops3d.py |
# Copyright (c) Facebook, Inc. and its affiliates.
""" Helper functions for calculating 2D and 3D bounding box IoU.
Collected and written by Charles R. Qi
Last modified: Apr 2021 by Ishan Misra
"""
import torch
import numpy as np
from scipy.spatial import ConvexHull, Delaunay
from utils.misc import to_list_1d, to_lis... | 3detr-main | utils/box_util.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.
""" Helper functions and class to calculate Average Precisions for 3D object detection.
"""
import logging
import os
import sys
from collectio... | 3detr-main | utils/ap_calculator.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import pickle
import torch
import torch.distributed as dist
def is_distributed():
if not dist.is_available() or not dist.is_initialized():
return False
return True
def get_rank():
if not is_distributed():
return 0
return dist.get_ra... | 3detr-main | utils/dist.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import math
from functools import partial
import numpy as np
import torch
import torch.nn as nn
from third_party.pointnet2.pointnet2_modules import PointnetSAModuleVotes
from third_party.pointnet2.pointnet2_utils import furthest_point_sample
from utils.pc_util import ... | 3detr-main | models/model_3detr.py |
# Copyright (c) Facebook, Inc. and its affiliates.
from .model_3detr import build_3detr
MODEL_FUNCS = {
"3detr": build_3detr,
}
def build_model(args, dataset_config):
model, processor = MODEL_FUNCS[args.model_name](args, dataset_config)
return model, processor | 3detr-main | models/__init__.py |
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
"""
Modified from DETR Transformer class.
Copy-paste from torch.nn.Transformer with modifications:
* positional encodings are passed in MHattention
* extra LN at the end of encoder is removed
* decoder returns a stack of activations fro... | 3detr-main | models/transformer.py |
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
"""
Various positional encodings for the transformer.
"""
import math
import torch
from torch import nn
import numpy as np
from utils.pc_util import shift_scale_points
class PositionEmbeddingCoordsSine(nn.Module):
def __init__(
self,
... | 3detr-main | models/position_embedding.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import torch.nn as nn
from functools import partial
import copy
class BatchNormDim1Swap(nn.BatchNorm1d):
"""
Used for nn.Transformer that uses a HW x N x C rep
"""
def forward(self, x):
"""
x: HW x N x C
permute to N x C x HW
... | 3detr-main | models/helpers.py |
# Copyright (c) Facebook, Inc. and its affiliates.
''' Modified based on Ref: https://github.com/erikwijmans/Pointnet2_PyTorch '''
import torch
import torch.nn as nn
from typing import List, Tuple
class SharedMLP(nn.Sequential):
def __init__(
self,
args: List[int],
*,
... | 3detr-main | third_party/pointnet2/pytorch_utils.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.
from setuptools import setup
from torch.utils.cpp_extension import BuildExtension, CUDAExtension
import glob
import os.path as osp
this_dir ... | 3detr-main | third_party/pointnet2/setup.py |
# Copyright (c) Facebook, Inc. and its affiliates.
''' Modified based on: https://github.com/erikwijmans/Pointnet2_PyTorch '''
from __future__ import (
division,
absolute_import,
with_statement,
print_function,
unicode_literals,
)
import torch
from torch.autograd import Function
import torch.nn as ... | 3detr-main | third_party/pointnet2/pointnet2_utils.py |
# Copyright (c) Facebook, Inc. and its affiliates.
''' Testing customized ops. '''
import torch
from torch.autograd import gradcheck
import numpy as np
import os
import sys
BASE_DIR = os.path.dirname(os.path.abspath(__file__))
sys.path.append(BASE_DIR)
import pointnet2_utils
def test_interpolation_grad():
batch... | 3detr-main | third_party/pointnet2/pointnet2_test.py |
# Copyright (c) Facebook, Inc. and its affiliates.
''' Pointnet2 layers.
Modified based on: https://github.com/erikwijmans/Pointnet2_PyTorch
Extended with the following:
1. Uniform sampling in each local region (sample_uniformly)
2. Return sampled points indices to support votenet.
'''
import torch
import torch.nn as ... | 3detr-main | third_party/pointnet2/pointnet2_modules.py |
# Copyright (c) 2019-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
from contextual.contextual_models import *
from contextual.contextual_linucb import *
from tqdm import trange
from collections ... | ContextualBanditsAttacks-main | isoexp/test_distance_attack_one_user.py |
# Copyright (c) 2019-present, Facebook, Inc.
# 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 sys
sys.path.append('/private/home/broz/workspaces/bandits_attacks')
import isoexp.contextual.contextual_models as arm... | ContextualBanditsAttacks-main | isoexp/devfair_reward_attack.py |
# Copyright (c) 2019-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
from isoexp.contextual.contextual_models import RandomContextualLinearArms
from isoexp.contextual.contextual_linucb import *
fro... | ContextualBanditsAttacks-main | isoexp/main_attacked_context.py |
# Copyright (c) 2019-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
__version__ = '0.0.dev0'
| ContextualBanditsAttacks-main | isoexp/__init__.py |
# Copyright (c) 2019-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
def in_hull(points, x):
n_points = len(points)
n_dim = len(x)
c = np.zeros(n_points)
A = np.r_[points.T, np.on... | ContextualBanditsAttacks-main | isoexp/main_attack_one_user.py |
# Copyright (c) 2019-present, Facebook, Inc.
# 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 sys
sys.path.append('/isoexp')
import numpy as np
import isoexp.mab.arms as arms
import pickle
from isoexp.mab.smab_algs... | ContextualBanditsAttacks-main | isoexp/main_mab.py |
# Copyright (c) 2019-present, Facebook, Inc.
# 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 matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
import pickle
import tikzplotlib
im... | ContextualBanditsAttacks-main | isoexp/parse_reward_attack.py |
# Copyright (c) 2019-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
from isoexp.contextual.contextual_models import RandomContextualLinearArms
from isoexp.contextual.contextual_linucb import *
fr... | ContextualBanditsAttacks-main | isoexp/main_attack_reward.py |
# Copyright (c) 2019-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
__version__ = '0.0.dev0' | ContextualBanditsAttacks-main | isoexp/contextual/__init__.py |
# Copyright (c) 2019-present, Facebook, Inc.
# 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 cvxpy as cp
from scipy.optimize import minimize
class RandomArm(object):
def __init__(self, ini... | ContextualBanditsAttacks-main | isoexp/contextual/contextual_linucb.py |
# Copyright (c) 2019-present, Facebook, Inc.
# 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 matplotlib.pyplot as plt
class ContextualLinearMABModel(object):
def __init__(sel... | ContextualBanditsAttacks-main | isoexp/contextual/contextual_models.py |
# Copyright (c) 2019-present, Facebook, Inc.
# 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 cvxpy as cp
from scipy.optimize import minimize
class RandomArm(object):
def __init__(self, ini... | ContextualBanditsAttacks-main | isoexp/linear/linearbandit.py |
# Copyright (c) 2019-present, Facebook, Inc.
# 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
class LinearMABModel(object):
def __init__(self, random_state=0, noise=0.1, features=None, theta=None)... | ContextualBanditsAttacks-main | isoexp/linear/linearmab_models.py |
# Copyright (c) 2019-present, Facebook, Inc.
# 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
from .linearmab_models import LinearMABModel
class ColdStartFromDatasetModel(LinearMABModel):
def __in... | ContextualBanditsAttacks-main | isoexp/linear/coldstart.py |
# Copyright (c) 2019-present, Facebook, Inc.
# 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 math
import numpy as np
import sys
import numpy.random as npr
from tqdm import tqdm
class contextEpsGREEDY():
"""
... | ContextualBanditsAttacks-main | isoexp/mab/contextual_mab_algs.py |
# Copyright (c) 2019-present, Facebook, Inc.
# 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 math
from scipy.stats import truncnorm
class ContextualLinearMABModel(object):
def __init__(sel... | ContextualBanditsAttacks-main | isoexp/mab/contextual_arms.py |
# Copyright (c) 2019-present, Facebook, Inc.
# 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 sys
import numpy.random as npr
import cvxpy as cp
from tqdm import trange
from tqdm import tqdm
def ... | ContextualBanditsAttacks-main | isoexp/mab/smab_algs.py |
# Copyright (c) 2019-present, Facebook, Inc.
# 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 math
from scipy.stats import truncnorm
class AbstractArm(object):
def __init__(self, mean, varia... | ContextualBanditsAttacks-main | isoexp/mab/arms.py |
# Copyright (c) 2019-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
__version__ = '0.0.dev0'
| ContextualBanditsAttacks-main | isoexp/mab/__init__.py |
# Copyright (c) 2019-present, Facebook, Inc.
# 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 sys
sys.path.append('/isoexp')
import numpy as np
import isoexp.mab.arms as arms
import pickle
from isoexp.mab.smab_algs... | ContextualBanditsAttacks-main | isoexp/mab/main_mab.py |
# Copyright (c) 2019-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue Sep 3 23:30:58 2019
@author: evrardgarcelon
"""
import nump... | ContextualBanditsAttacks-main | examples/parse_real_data_results.py |
# Copyright (c) 2019-present, Facebook, Inc.
# 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
from isoexp.monenvs import Env1
from sklearn.isotonic import IsotonicRegression
import matplotlib.pyplot as p... | ContextualBanditsAttacks-main | examples/show_confidence.py |
# Copyright (c) 2019-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sun Sep 1 14:23:15 2019
@author: evrardgarcelon
"""
import nump... | ContextualBanditsAttacks-main | examples/untitled0.py |
# Copyright (c) 2019-present, Facebook, Inc.
# 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 datetime
import json
import logging
import os
import pickle
from collections import namedtuple
import numpy as np
from ... | ContextualBanditsAttacks-main | examples/linear_contextual_bandit.py |
# Copyright (c) 2019-present, Facebook, Inc.
# 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
from isoexp.linear.linearbandit import EfficientLinearBandit, LinearBandit, LinPHE
from isoexp.conservative.... | ContextualBanditsAttacks-main | examples/main_linearmab.py |
# Copyright (c) 2019-present, Facebook, Inc.
# 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 datetime
import json
import os
import pickle
import sys
from collections import namedtuple
import numpy as np
from jobl... | ContextualBanditsAttacks-main | examples/experiment_one_context.py |
# Copyright (c) 2019-present, Facebook, Inc.
# 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 isoexp.mab.arms as arms
import pickle
from isoexp.mab.smab_algs import UCB1, UCBV, BootstrapedUCB, PH... | ContextualBanditsAttacks-main | examples/main_mab.py |
# Copyright (c) 2019-present, Facebook, Inc.
# 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 datetime
import json
import os
import pickle
import sys
from collections import namedtuple
import numpy as np
from jobl... | ContextualBanditsAttacks-main | examples/experiment_all_contexts.py |
# Copyright (c) 2019-present, Facebook, Inc.
# 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 matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
import pickle
import tikzplotlib
imp... | ContextualBanditsAttacks-main | examples/parse_linear_results.py |
# Copyright (c) 2019-present, Facebook, Inc.
# 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 sys
sys.path[0] = '/Users/evrard/Desktop/monotone_mabs/'
import numpy as np
import isoexp.linear.linearmab_models as arm... | ContextualBanditsAttacks-main | examples/runner_GLM.py |
# Copyright (c) 2019-present, Facebook, Inc.
# 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
from cycler import cycler
import matplotlib.pyplot as plt
import tikzplotlib
n = 9 # Number of c... | ContextualBanditsAttacks-main | examples/merge_real_data_results.py |
# Copyright (c) 2019-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Aug 22 15:37:36 2019
@author: evrard
"""
filename = '/Users... | ContextualBanditsAttacks-main | examples/reader_GLM.py |
# Copyright (c) 2019-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
from isoexp.isotonicsim import LIsotron
import matplotlib.pyplot as plt
import numpy as np
from isoexp.LPAV_cvx import cvx_lip_i... | ContextualBanditsAttacks-main | examples/run_lisotron.py |
# Copyright (c) 2019-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
from isoexp.knnmab import KnnMab
from isoexp.isomab import IsoMab
import isoexp.monenvs as monenvs
import matplotlib.pyplot as ... | ContextualBanditsAttacks-main | examples/main.py |
# Copyright (c) 2019-present, Facebook, Inc.
# 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 matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
import pickle
import tikzplotlib
imp... | ContextualBanditsAttacks-main | examples/parse_mab_results.py |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Copyright (c) 2019-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
"""
Created on Thu Aug 22 15:37:36 2019
@author: evrard
"""
import pickle
impor... | ContextualBanditsAttacks-main | examples/parse_batch_results.py |
# Copyright (c) 2019-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Aug 22 15:37:36 2019
@author: evrard
"""
filename = '201908... | ContextualBanditsAttacks-main | examples/reader_linear.py |
# Copyright (c) Facebook, Inc. and its 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
np.random.seed(1234)
# we want 500 for training, 100 for test for wach class
n = ... | Adversarial-Continual-Learning-main | ACL-resnet/data/split_miniimagenet.py |
# Copyright (c) Facebook, Inc. and its 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 sys, time, os
import numpy as np
import torch
import copy
import utils
from copy import deepcopy
from tqdm import tqd... | Adversarial-Continual-Learning-main | ACL-resnet/src/acl.py |
# Copyright (c) Facebook, Inc. and its 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
from copy import deepcopy
import pickle
import time
import uuid
from subprocess import call
#####... | Adversarial-Continual-Learning-main | ACL-resnet/src/utils.py |
# Copyright (c) Facebook, Inc. and its 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,argparse,time
import numpy as np
from omegaconf import OmegaConf
from copy import deepcopy
import torch
import torc... | Adversarial-Continual-Learning-main | ACL-resnet/src/main.py |
# Copyright (c) Facebook, Inc. and its 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.
from __future__ import print_function
from PIL import Image
import os
import os.path
import sys
if sys.version_info[0] == 2:... | Adversarial-Continual-Learning-main | ACL-resnet/src/dataloaders/cifar100.py |
# Copyright (c) Facebook, Inc. and its 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.
# https://github.com/pytorch/vision/blob/8635be94d1216f10fb8302da89233bd86445e449/torchvision/datasets/utils.py
import os
im... | Adversarial-Continual-Learning-main | ACL-resnet/src/dataloaders/utils.py |
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