repo stringlengths 1 99 | file stringlengths 13 215 | code stringlengths 12 59.2M | file_length int64 12 59.2M | avg_line_length float64 3.82 1.48M | max_line_length int64 12 2.51M | extension_type stringclasses 1
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ResponseEdit | ResponseEdit-master/edit/train.py | from __future__ import division
import sys
sys.path.append(r'../')
import numpy as np
from edit.Translator import Translator
import s2s
import argparse
import torch
import torch.nn as nn
from torch import cuda
from torch.autograd import Variable
import math
import time
import logging
try:
import ipdb
except Impo... | 14,874 | 36.002488 | 146 | py |
ResponseEdit | ResponseEdit-master/s2s/xinit.py | import math
import random
import torch
from torch.autograd import Variable
def calculate_gain(nonlinearity, param=None):
"""Return the recommended gain value for the given nonlinearity function. The values are as follows:
============ ==========================================
nonlinearity gain
====... | 13,329 | 35.620879 | 120 | py |
ResponseEdit | ResponseEdit-master/s2s/EditModels.py | import numpy as np
import torch
import torch.nn as nn
from torch.autograd import Variable
import s2s.modules
from s2s.Models import StackedGRU
from torch.nn.utils.rnn import pad_packed_sequence as unpack
from torch.nn.utils.rnn import pack_padded_sequence as pack
try:
import ipdb
except ImportError:
pass
cla... | 14,552 | 41.677419 | 144 | py |
ResponseEdit | ResponseEdit-master/s2s/Beam.py | from __future__ import division
# Class for managing the internals of the beam search process.
#
#
# hyp1#-hyp1---hyp1 -hyp1
# \ /
# hyp2 \-hyp2 /-hyp2#hyp2
# / \
# hyp3#-hyp3---hyp3 -hyp3
# ========================
#
# Take... | 5,139 | 31.531646 | 95 | py |
ResponseEdit | ResponseEdit-master/s2s/Dataset.py | from __future__ import division
import math
import random
import torch
from torch.autograd import Variable
import s2s
class Dataset(object):
def __init__(self, srcData, tgtData, batchSize, cuda):
self.src = srcData
if tgtData:
self.tgt = tgtData
assert (len(self.src) == ... | 9,780 | 38.124 | 117 | py |
ResponseEdit | ResponseEdit-master/s2s/Dict.py | import torch
class Dict(object):
def __init__(self, data=None, lower=False):
self.idxToLabel = {}
self.labelToIdx = {}
self.frequencies = {}
self.lower = lower
# Special entries will not be pruned.
self.special = []
if data is not None:
if type... | 3,846 | 28.143939 | 81 | py |
ResponseEdit | ResponseEdit-master/s2s/Translator.py | import s2s
import torch.nn as nn
import torch
from torch.autograd import Variable
try:
import ipdb
except ImportError:
pass
class Translator(object):
def __init__(self, opt, model=None, dataset=None):
self.opt = opt
if model is None:
checkpoint = torch.load(opt.model)
... | 8,022 | 38.522167 | 118 | py |
ResponseEdit | ResponseEdit-master/s2s/Optim.py | import math
import torch.optim as optim
import torch.nn as nn
from torch.nn.utils import clip_grad_norm_
import s2s.modules
import logging
logger = logging.getLogger(__name__)
class Optim(object):
def set_parameters(self, params):
self.params = list(params) # careful: params may be a generator
... | 2,848 | 36.986667 | 105 | py |
ResponseEdit | ResponseEdit-master/s2s/Models.py | import torch
import torch.nn as nn
from torch.autograd import Variable
import s2s.modules
from torch.nn.utils.rnn import pad_packed_sequence as unpack
from torch.nn.utils.rnn import pack_padded_sequence as pack
try:
import ipdb
except ImportError:
pass
class Encoder(nn.Module):
def __init__(self, opt, di... | 6,331 | 35.813953 | 120 | py |
ResponseEdit | ResponseEdit-master/s2s/modules/myRNN.py | import torch
import torch.nn as nn
from torch.autograd import Variable
import s2s.modules
from torch.nn.utils.rnn import pad_packed_sequence as unpack
from torch.nn.utils.rnn import pack_padded_sequence as pack
try:
import ipdb
except ImportError:
pass
class MyGRU(nn.Module):
def __init__(self, input_siz... | 1,302 | 32.410256 | 95 | py |
ResponseEdit | ResponseEdit-master/s2s/modules/GlobalAttention.py | """
Global attention takes a matrix and a query vector. It
then computes a parameterized convex combination of the matrix
based on the input query.
H_1 H_2 H_3 ... H_n
q q q q
| | | |
\ | | /
.....
\ | /
... | 1,725 | 28.254237 | 79 | py |
ResponseEdit | ResponseEdit-master/s2s/modules/ConcatAttention.py | import torch
import torch.nn as nn
import math
try:
import ipdb
except ImportError:
pass
class ConcatAttention(nn.Module):
def __init__(self, attend_dim, query_dim, att_dim):
super(ConcatAttention, self).__init__()
self.attend_dim = attend_dim
self.query_dim = query_dim
se... | 2,422 | 39.383333 | 115 | py |
ResponseEdit | ResponseEdit-master/s2s/modules/Maxout.py | import torch
import torch.nn as nn
import math
class MaxOut(nn.Module):
def __init__(self, pool_size):
super(MaxOut, self).__init__()
self.pool_size = pool_size
def forward(self, input):
"""
input:
reduce_size:
"""
input_size = list(input.size())
... | 911 | 26.636364 | 71 | py |
ResponseEdit | ResponseEdit-master/s2s/modules/myAdam.py | import math
from torch.optim.optimizer import Optimizer
class MyAdam(Optimizer):
"""Implements Adam algorithm.
It has been proposed in `Adam: A Method for Stochastic Optimization`_.
Arguments:
params (iterable): iterable of parameters to optimize or dicts defining
parameter groups
... | 2,913 | 37.342105 | 90 | py |
EpipolarPose | EpipolarPose-master/scripts/train.py | import argparse
import os
import pprint
import shutil
import _init_paths
import torch
import torch.nn.parallel
import torch.backends.cudnn as cudnn
import torch.optim
import torch.utils.data
import torch.utils.data.distributed
from lib.core.config import config
from lib.core.config import update_config
from lib.core.... | 5,905 | 29.760417 | 114 | py |
EpipolarPose | EpipolarPose-master/scripts/valid.py | import argparse
import pprint
import _init_paths
import torch
import torch.nn.parallel
import torch.backends.cudnn as cudnn
import torch.optim
import torch.utils.data
import torch.utils.data.distributed
from lib.core.config import config
from lib.core.config import update_config
from lib.core.config import update_dir... | 3,473 | 28.440678 | 100 | py |
EpipolarPose | EpipolarPose-master/refiner/main.py | import os
import time
import logging
import argparse
import numpy as np
import torch
import torch.nn as nn
import torch.backends.cudnn as cudnn
import _init_paths
from refiner.data import Human36M
from refiner.model import get_model, weight_init
from refiner.utils import lr_decay, AverageMeter, save_ckpt
def parse_... | 4,944 | 27.75 | 109 | py |
EpipolarPose | EpipolarPose-master/refiner/utils.py | import os
import torch
class AverageMeter(object):
def __init__(self):
self.val = 0
self.avg = 0
self.sum = 0
self.count = 0
def update(self, val, n=1):
self.val = val
self.sum += val * n
self.count += n
self.avg = self.sum / self.count
def lr_... | 959 | 25.666667 | 59 | py |
EpipolarPose | EpipolarPose-master/refiner/model.py | from __future__ import absolute_import
from __future__ import print_function
import torch.nn as nn
import torch
def weight_init(m):
if isinstance(m, nn.Linear):
nn.init.kaiming_normal_(m.weight)
# nn.init.constant_(m.weight, 0.)
# nn.init.constant_(m.bias, 0.)
class LinearPG(nn.Module):... | 4,263 | 25.484472 | 103 | py |
EpipolarPose | EpipolarPose-master/refiner/data.py | import os
from torch.utils.data import Dataset
import numpy as np
import pickle as pkl
from lib.utils.prep_h36m import compute_similarity_transform
import logging
MPII_NAMES = [''] * 15
MPII_NAMES[0] = 'RFoot'
MPII_NAMES[1] = 'RKnee'
MPII_NAMES[2] = 'RHip'
MPII_NAMES[3] = 'LHip'
MPII_NAMES[4] = 'LKnee'
MPII_NAMES[5] =... | 5,273 | 31.9625 | 107 | py |
EpipolarPose | EpipolarPose-master/lib/core/inference.py | import math
import numpy as np
import torch
from torch.nn import functional as F
from lib.utils.transforms import transform_preds
from lib.utils.cameras import load_cameras
from lib.utils.cameras import Camera
def get_max_preds(batch_heatmaps):
'''
get predictions from score maps
heatmaps: numpy.ndarray... | 5,455 | 30.906433 | 96 | py |
EpipolarPose | EpipolarPose-master/lib/core/integral_loss.py | import torch
from torch.nn import functional as F
import numpy as np
import torch.nn as nn
import math
def weighted_mse_loss(input, target, weights, size_average, norm=False):
if norm:
input = input / torch.norm(input, 1)
target = target / torch.norm(target, 1)
out = (input - target) ** 2
... | 7,532 | 33.085973 | 113 | py |
EpipolarPose | EpipolarPose-master/lib/core/function.py | import logging
import time
import numpy as np
import torch
from lib.utils.img_utils import trans_coords_from_patch_to_org_3d
from lib.core.integral_loss import get_result_func
from lib.utils.utils import AverageMeter
logger = logging.getLogger(__name__)
def train_integral(config, train_loader, model, criterion, op... | 4,375 | 31.176471 | 115 | py |
EpipolarPose | EpipolarPose-master/lib/dataset/h36m.py | import torch
import pickle as pkl
import random
import os
import logging
import numpy as np
import copy
from lib.utils.prep_h36m import CamBackProj, compute_similarity_transform
from lib.dataset.JointIntegralDataset import JointsIntegralDataset, H36M_NAMES, MPII_NAMES
from lib.utils.data_utils import define_actions
fr... | 14,061 | 36.201058 | 122 | py |
EpipolarPose | EpipolarPose-master/lib/dataset/JointIntegralDataset.py | import logging
import numpy as np
from torch.utils.data import Dataset
from lib.core.integral_loss import get_label_func
from lib.utils.augmentation import load_occluders
H36M_NAMES = ['']*17
H36M_NAMES[0] = 'Hip'
H36M_NAMES[1] = 'RHip'
H36M_NAMES[2] = 'RKnee'
H36M_NAMES[3] = 'RFoot'
H36M_NAMES[4] = 'LHip'
H36M... | 2,269 | 23.148936 | 104 | py |
EpipolarPose | EpipolarPose-master/lib/models/pose3d_resnet.py | import os
import logging
import torch
import torch.nn as nn
BN_MOMENTUM = 0.1
logger = logging.getLogger(__name__)
def conv3x3(in_planes, out_planes, stride=1):
"""3x3 convolution with padding"""
return nn.Conv2d(in_planes, out_planes, kernel_size=3, stride=stride,
padding=1, bias=Fals... | 11,074 | 35.19281 | 109 | py |
EpipolarPose | EpipolarPose-master/lib/utils/utils.py | import os
import logging
import time
from pathlib import Path
import numpy as np
import torch
import torch.optim as optim
from lib.core.config import get_model_name
def create_logger(cfg, cfg_name, phase='train'):
root_output_dir = Path(cfg.OUTPUT_DIR)
# set up logger
if not root_output_dir.exists():
... | 5,484 | 24.630841 | 83 | py |
EpipolarPose | EpipolarPose-master/lib/utils/img_utils.py | import cv2
import torch
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import axes3d, Axes3D # <-- Note the capitalization!
from lib.utils.utils import calc_total_skeleton_length
from lib.utils.transforms import get_affine_transform
from lib.utils.augmentation import occlude_with_objects
from lib.core.int... | 12,661 | 37.253776 | 119 | py |
RTNet2022 | RTNet2022-main/main.py | import argparse
import os
import torch
import numpy as np
import time
from exp.exp_model import Exp_Model
parser = argparse.ArgumentParser(description='[RTNet] Respecting Times Series Properties')
parser.add_argument('--model', type=str, required=True, default='RT',
help='model of experiment')
pa... | 15,082 | 55.703008 | 121 | py |
RTNet2022 | RTNet2022-main/utils/tools.py | import numpy as np
import torch
import torch.nn.functional as F
def adjust_learning_rate(optimizer, epoch, args):
if args.lradj == 'type1':
args.learning_rate = args.learning_rate * 0.5
lr_adjust = {epoch: args.learning_rate}
elif args.lradj == 'type2':
lr_adjust = {
2: 5e-... | 4,375 | 33.730159 | 112 | py |
RTNet2022 | RTNet2022-main/utils/metrics.py | import numpy as np
import torch
def RSE(pred, true):
return np.sqrt(np.sum((true - pred) ** 2)) / np.sqrt(np.sum((true - true.mean()) ** 2))
def CORR(pred, true):
u = ((true - true.mean(0)) * (pred - pred.mean(0))).sum(0)
d = np.sqrt(((true - true.mean(0)) ** 2 * (pred - pred.mean(0)) ** 2).sum(0))
... | 778 | 18 | 91 | py |
RTNet2022 | RTNet2022-main/data/data_loader.py | import os
import warnings
import numpy as np
import pandas as pd
from sklearn.preprocessing import MaxAbsScaler
from torch.utils.data import Dataset
from utils.tools import StandardScaler
warnings.filterwarnings('ignore')
def _get_time_features(dt, timebed):
if timebed == 'year':
return np.stack([
... | 28,353 | 39.505714 | 119 | py |
RTNet2022 | RTNet2022-main/RT/embed.py | import torch
import torch.nn as nn
import torch.nn.functional as F
import math
class TokenEmbedding(nn.Module):
def __init__(self, c_in, d_model, group=1):
super(TokenEmbedding, self).__init__()
padding = 0
self.tokenConv = nn.Conv1d(in_channels=c_in, out_channels=d_model, groups=group,
... | 1,027 | 30.151515 | 91 | py |
RTNet2022 | RTNet2022-main/RT/model.py | import torch
import torch.nn as nn
from RT.ConvBlock import ConvLayer, ConvBlock
from RT.embed import DataEmbedding
class RT_block(nn.Module):
def __init__(self, d_model, kernel, dropout, group, block_nums, label_len, pred_len, c_out,
flag='End-to-end', FE='ResNet'):
super(RT_block, self... | 7,479 | 41.5 | 117 | py |
RTNet2022 | RTNet2022-main/RT/ConvBlock.py | import torch
import torch.nn as nn
import math
from torch.nn.utils import weight_norm
class ConvLayer(nn.Module):
def __init__(self, c_in, c_out, kernel=3, dropout=0, group=1, s=1):
super(ConvLayer, self).__init__()
self.dropout = nn.Dropout(dropout)
self.kernel = kernel
self.downC... | 8,251 | 42.431579 | 99 | py |
RTNet2022 | RTNet2022-main/exp/exp_model.py | from data.data_loader import Dataset_ETT_hour, Dataset_ETT_min, Dataset_WTH, Dataset_ECL
from exp.exp_basic import Exp_Basic
from RT.model import RT
from utils.tools import EarlyStopping, adjust_learning_rate, loss_process, Cost_loss
from utils.metrics import metric
import numpy as np
import torch
import torch.nn as... | 21,674 | 43.325153 | 120 | py |
RTNet2022 | RTNet2022-main/exp/exp_basic.py | import os
import torch
import numpy as np
class Exp_Basic(object):
def __init__(self, args):
self.args = args
self.device = self._acquire_device()
self.model = self._build_model().to(self.device)
def _build_model(self):
raise NotImplementedError
return None
def _a... | 885 | 22.315789 | 84 | py |
canife | canife-main/canife/canary_designer.py | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
import copy
import random
from collections import defaultdict
from timeit import default... | 27,010 | 50.449524 | 278 | py |
canife | canife-main/canife/canary_analyser.py | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
import copy
import math
import matplotlib.pyplot as plt
import numpy as np
import torch... | 35,758 | 54.268934 | 327 | py |
canife | canife-main/canife/utils.py | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
import copy
import itertools
import re
import string
import unicodedata
from typing impo... | 10,307 | 34.42268 | 172 | py |
canife | canife-main/canife/canary_designer_nlp.py | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
import random
import matplotlib.pyplot as plt
import numpy as np
import seaborn as sns
... | 6,553 | 43.585034 | 256 | py |
canife | canife-main/plotting/extract_aws.py | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import glob
import os
import pandas as pd
import torch
USERNAME = os.... | 1,759 | 29.877193 | 95 | py |
canife | canife-main/plotting/extract_exp.py | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import glob
import pandas as pd
import torch
def extract_sweep(root_d... | 1,764 | 30.517857 | 90 | py |
canife | canife-main/plotting/example_plotter.py | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import ast
import pathlib
import sys
from pathlib import Path
import ma... | 14,587 | 41.530612 | 185 | py |
canife | canife-main/FLSim/flsim/privacy/privacy_engine.py | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
"""
This file contains the noise generation function and the required
DP parameters that... | 10,738 | 33.200637 | 88 | py |
canife | canife-main/FLSim/flsim/privacy/user_update_clip.py | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
"""
This file contains the functions for clipping clients' updates in
an FL simulation.
... | 2,598 | 33.653333 | 102 | py |
canife | canife-main/FLSim/flsim/privacy/tests/test_privacy_engine.py | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
import math
from unittest.mock import MagicMock
import numpy as np
import pytest
import... | 12,209 | 33.106145 | 88 | py |
canife | canife-main/FLSim/flsim/privacy/tests/test_user_update_clipper.py | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
import pytest
import torch
from flsim.common.pytest_helper import (
assertAlmostEqua... | 5,081 | 36.925373 | 86 | py |
canife | canife-main/FLSim/flsim/privacy/tests/test_dp_integration.py | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
from typing import Any, Dict, Optional
import numpy as np
import torch
import torch.nn ... | 27,447 | 34.973788 | 109 | py |
canife | canife-main/FLSim/flsim/secure_aggregation/secure_aggregator.py | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
from __future__ import annotations
import logging
from dataclasses import dataclass
fro... | 14,035 | 34.806122 | 88 | py |
canife | canife-main/FLSim/flsim/secure_aggregation/tests/test_secure_aggregation.py | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
import torch
from flsim.channels.message import Message
from flsim.common.pytest_helper ... | 15,727 | 37.360976 | 89 | py |
canife | canife-main/FLSim/flsim/secure_aggregation/tests/test_secagg_integration.py | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
import torch
from flsim.common.pytest_helper import assertEqual, assertNotEqual
from fls... | 7,113 | 37.247312 | 88 | py |
canife | canife-main/FLSim/flsim/common/tests/test_timeout_simulator.py | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
import numpy as np
import torch
from flsim.common.pytest_helper import (
assertAlmos... | 6,510 | 39.69375 | 97 | py |
canife | canife-main/FLSim/flsim/common/tests/test_fine_tuner.py | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
import torch
from flsim.clients.base_client import ClientConfig
from flsim.common.fine_t... | 3,057 | 36.753086 | 83 | py |
canife | canife-main/FLSim/flsim/common/tests/test_training_simulator.py | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
import math
from typing import List, Tuple, Type
import numpy as np
import pytest
impor... | 28,262 | 40.259854 | 100 | py |
canife | canife-main/FLSim/flsim/clients/base_client.py | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
"""
This file defines the concept of a base client for a
federated learning setting. Als... | 16,369 | 37.791469 | 155 | py |
canife | canife-main/FLSim/flsim/clients/dp_client.py | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
"""
This file defines the concept of a differentially private
client where a sample leve... | 6,365 | 35.797688 | 99 | py |
canife | canife-main/FLSim/flsim/clients/tests/test_client.py | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
from unittest.mock import MagicMock
import pytest
import torch
import torch.nn as nn
fr... | 24,318 | 37.540412 | 89 | py |
canife | canife-main/FLSim/flsim/active_user_selectors/simple_user_selector.py | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
from __future__ import annotations
import abc
import copy
import math
from dataclasses ... | 16,943 | 32.752988 | 96 | py |
canife | canife-main/FLSim/flsim/active_user_selectors/diverse_user_selector.py | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
from __future__ import annotations
import copy
from dataclasses import dataclass
from t... | 20,917 | 38.6926 | 104 | py |
canife | canife-main/FLSim/flsim/active_user_selectors/tests/test_active_user_selector.py | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
import math
from collections import Counter
import torch
from flsim.active_user_selecto... | 16,032 | 40.215938 | 88 | py |
canife | canife-main/FLSim/flsim/active_user_selectors/tests/test_diverse_user_selector.py | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
import math
from collections import Counter
import torch
from flsim.active_user_selecto... | 23,663 | 38.972973 | 103 | py |
canife | canife-main/FLSim/flsim/channels/message.py | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
from copy import deepcopy
from dataclasses import dataclass, field
from typing import Op... | 2,440 | 33.380282 | 90 | py |
canife | canife-main/FLSim/flsim/channels/product_quantization_channel.py | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
from __future__ import annotations
import math
from collections import OrderedDict
from... | 7,116 | 38.104396 | 131 | py |
canife | canife-main/FLSim/flsim/channels/sparse_mask_channel.py | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
from __future__ import annotations
from collections import OrderedDict
from dataclasses... | 5,153 | 38.045455 | 95 | py |
canife | canife-main/FLSim/flsim/channels/scalar_quantization_channel.py | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
from __future__ import annotations
from collections import OrderedDict
from dataclasses... | 7,986 | 41.94086 | 98 | py |
canife | canife-main/FLSim/flsim/channels/tests/test_sparse_mask_channel.py | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
from typing import OrderedDict, Type
import pytest
import torch
from flsim.channels.bas... | 10,994 | 32.935185 | 88 | py |
canife | canife-main/FLSim/flsim/channels/pq_utils/pq.py | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
import math
import torch
from sklearn.cluster import KMeans
class PQ:
"""
Qua... | 12,975 | 37.850299 | 93 | py |
canife | canife-main/FLSim/flsim/servers/aggregator.py | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
from enum import IntEnum
import torch
import torch.nn as nn
from flsim.utils.distribute... | 3,225 | 30.320388 | 84 | py |
canife | canife-main/FLSim/flsim/servers/sync_dp_servers.py | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
from __future__ import annotations
from dataclasses import dataclass
from typing import... | 8,498 | 40.661765 | 122 | py |
canife | canife-main/FLSim/flsim/servers/tests/test_sync_dp_servers.py | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
import itertools
import math
from tempfile import mkstemp
from unittest.mock import Magi... | 13,235 | 33.379221 | 102 | py |
canife | canife-main/FLSim/flsim/servers/tests/test_aggregator.py | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
from tempfile import mkstemp
import pytest
import torch.distributed as dist
import tor... | 6,401 | 29.485714 | 84 | py |
canife | canife-main/FLSim/flsim/optimizers/server_optimizers.py | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
"""This file contains optimizers for the server.
The server expects an IServerOptimizer... | 10,100 | 30.46729 | 113 | py |
canife | canife-main/FLSim/flsim/optimizers/async_aggregators.py | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
from __future__ import annotations
import logging
from dataclasses import dataclass
fro... | 19,388 | 33.256184 | 99 | py |
canife | canife-main/FLSim/flsim/optimizers/optimizer_scheduler.py | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
from __future__ import annotations
import abc
import copy
from dataclasses import datac... | 8,691 | 30.042857 | 99 | py |
canife | canife-main/FLSim/flsim/optimizers/local_optimizers.py | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
from __future__ import annotations
from dataclasses import dataclass
from typing import... | 4,963 | 28.547619 | 99 | py |
canife | canife-main/FLSim/flsim/optimizers/sync_aggregators.py | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
from __future__ import annotations
import abc
import logging
from dataclasses import da... | 11,740 | 29.897368 | 99 | py |
canife | canife-main/FLSim/flsim/optimizers/layerwise_optimizers.py | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
import torch
from torch.optim.optimizer import Optimizer
class LARS(Optimizer):
r"... | 6,459 | 34.690608 | 103 | py |
canife | canife-main/FLSim/flsim/optimizers/tests/test_optimizer_scheduler.py | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
import torch
from flsim.common.pytest_helper import assertEqual, assertTrue
from flsim.o... | 2,859 | 39.857143 | 80 | py |
canife | canife-main/FLSim/flsim/optimizers/tests/test_async_aggregator.py | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
import random
from dataclasses import dataclass
from typing import List
import numpy as... | 18,364 | 37.260417 | 116 | py |
canife | canife-main/FLSim/flsim/optimizers/tests/test_optimizer_utils.py | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
from typing import Any, Dict, Union
from flsim.optimizers.async_aggregators import (
... | 6,388 | 31.267677 | 87 | py |
canife | canife-main/FLSim/flsim/utils/count_sketch.py | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
from collections import OrderedDict
from copy import deepcopy
from typing import Optiona... | 9,770 | 34.402174 | 116 | py |
canife | canife-main/FLSim/flsim/utils/cuda.py | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
import abc
import torch
from flsim.interfaces.model import IFLModel
def FloatTensor(c... | 3,592 | 28.211382 | 83 | py |
canife | canife-main/FLSim/flsim/utils/sample_model.py | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
from typing import Optional
import torch
import torch.nn as nn
import torch.nn.function... | 9,329 | 31.283737 | 96 | py |
canife | canife-main/FLSim/flsim/utils/simple_batch_metrics.py | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
from typing import Any
import torch
from flsim.interfaces.batch_metrics import IFLBatch... | 1,176 | 23.020408 | 71 | py |
canife | canife-main/FLSim/flsim/utils/example_utils.py | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
# Cifar-10 dataset specific utils for use in the tutorials
import random
from typing im... | 22,010 | 34.105263 | 127 | py |
canife | canife-main/FLSim/flsim/utils/test_utils.py | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
from typing import Any, Dict, List, NamedTuple, Optional, Tuple, Union
from unittest.moc... | 13,399 | 27.510638 | 108 | py |
canife | canife-main/FLSim/flsim/utils/timing/training_duration_distribution.py | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
from __future__ import annotations
import abc
import copy
from dataclasses import datac... | 7,305 | 29.827004 | 86 | py |
canife | canife-main/FLSim/flsim/utils/fl/personalized_model.py | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
import abc
import copy
from typing import Dict, Iterable
import torch
class FLModelWi... | 5,726 | 39.048951 | 88 | py |
canife | canife-main/FLSim/flsim/utils/fl/common.py | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
import copy
import math
from typing import List, Optional, Union
import torch
from flsi... | 11,843 | 35.331288 | 88 | py |
canife | canife-main/FLSim/flsim/utils/distributed/fl_distributed.py | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
import logging
from enum import IntEnum
from itertools import chain
from typing import I... | 14,829 | 36.544304 | 97 | py |
canife | canife-main/FLSim/flsim/utils/tests/test_training_time_estimator.py | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
import torch
from flsim.common.pytest_helper import assertAlmostEqual, assertEqual
from ... | 5,258 | 31.263804 | 83 | py |
canife | canife-main/FLSim/flsim/utils/tests/test_data_utils.py | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
import torch
from flsim.common.pytest_helper import assertEqual, assertLessEqual, assert... | 3,346 | 37.034091 | 85 | py |
canife | canife-main/FLSim/flsim/utils/tests/test_model_param_utils.py | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
import collections
import math
import torch
import torch.nn as nn
from flsim.common.pyt... | 13,535 | 40.649231 | 99 | py |
canife | canife-main/FLSim/flsim/utils/tests/helpers/test_async_trainer_utils.py | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
from typing import Any, Optional, Tuple
import numpy as np
import torch
from flsim.clie... | 23,373 | 37.507414 | 123 | py |
canife | canife-main/FLSim/flsim/utils/tests/helpers/test_data_utils.py | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
import math
import string
from typing import Tuple
import torch
from flsim.data.data_pr... | 10,136 | 32.127451 | 89 | py |
canife | canife-main/FLSim/flsim/utils/tests/helpers/test_models.py | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
from typing import Iterable
import torch
import torch.nn as nn
from flsim.utils.fl.pers... | 2,069 | 26.6 | 84 | py |
canife | canife-main/FLSim/flsim/utils/tests/helpers/test_utils.py | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
from typing import Any, List, Optional
import torch
import torch.nn as nn
from flsim.da... | 7,948 | 41.058201 | 88 | py |
canife | canife-main/FLSim/flsim/utils/data/dummy_image_dataset.py | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
from io import BytesIO
import numpy as np
import torch
import torch.utils.data as data
... | 1,550 | 27.2 | 80 | py |
canife | canife-main/FLSim/flsim/utils/data/data_utils.py | #!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
import hashlib
import time
from collections import defaultdict
from itertools import zip... | 1,519 | 28.803922 | 81 | py |
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