repo stringlengths 2 99 | file stringlengths 13 225 | code stringlengths 0 18.3M | file_length int64 0 18.3M | avg_line_length float64 0 1.36M | max_line_length int64 0 4.26M | extension_type stringclasses 1
value |
|---|---|---|---|---|---|---|
Fanoos | Fanoos-master/experimentInfulstructure/randomlyGenerateQueriesToRun.py | # Fanoos: Multi-Resolution, Multi-Strength, Interactive Explanations for Learned Systems ; David Bayani and Stefan Mitsch ; paper at https://arxiv.org/abs/2006.12453
# Copyright (C) 2021 David Bayani
#
# This file is part of Fanoos.
#
# Fanoos is free software: you can redistribute it and/or modify
# it under the te... | 21,502 | 82.023166 | 2,828 | py |
Fanoos | Fanoos-master/utils/getPathToThisDirectory.py | # Fanoos: Multi-Resolution, Multi-Strength, Interactive Explanations for Learned Systems ; David Bayani and Stefan Mitsch ; paper at https://arxiv.org/abs/2006.12453
# Copyright (C) 2021 David Bayani
#
# This file is part of Fanoos.
#
# Fanoos is free software: you can redistribute it and/or modify
# it under the te... | 4,143 | 85.333333 | 2,781 | py |
Fanoos | Fanoos-master/utils/getGitCommitHash.py | # Fanoos: Multi-Resolution, Multi-Strength, Interactive Explanations for Learned Systems ; David Bayani and Stefan Mitsch ; paper at https://arxiv.org/abs/2006.12453
# Copyright (C) 2021 David Bayani
#
# This file is part of Fanoos.
#
# Fanoos is free software: you can redistribute it and/or modify
# it under the te... | 6,249 | 65.489362 | 2,781 | py |
Fanoos | Fanoos-master/utils/contracts.py | # Fanoos: Multi-Resolution, Multi-Strength, Interactive Explanations for Learned Systems ; David Bayani and Stefan Mitsch ; paper at https://arxiv.org/abs/2006.12453
# Copyright (C) 2021 David Bayani
#
# This file is part of Fanoos.
#
# Fanoos is free software: you can redistribute it and/or modify
# it under the te... | 6,865 | 66.313725 | 2,781 | py |
Fanoos | Fanoos-master/utils/getStringTimeNow.py | # Fanoos: Multi-Resolution, Multi-Strength, Interactive Explanations for Learned Systems ; David Bayani and Stefan Mitsch ; paper at https://arxiv.org/abs/2006.12453
# Copyright (C) 2021 David Bayani
#
# This file is part of Fanoos.
#
# Fanoos is free software: you can redistribute it and/or modify
# it under the te... | 4,390 | 85.098039 | 2,781 | py |
Fanoos | Fanoos-master/utils/distributionStatics.py | # Fanoos: Multi-Resolution, Multi-Strength, Interactive Explanations for Learned Systems ; David Bayani and Stefan Mitsch ; paper at https://arxiv.org/abs/2006.12453
# Copyright (C) 2021 David Bayani
#
# This file is part of Fanoos.
#
# Fanoos is free software: you can redistribute it and/or modify
# it under the te... | 5,309 | 73.788732 | 2,789 | py |
Fanoos | Fanoos-master/utils/__init__.py | # Fanoos: Multi-Resolution, Multi-Strength, Interactive Explanations for Learned Systems ; David Bayani and Stefan Mitsch ; paper at https://arxiv.org/abs/2006.12453
# Copyright (C) 2021 David Bayani
#
# This file is part of Fanoos.
#
# Fanoos is free software: you can redistribute it and/or modify
# it under the te... | 1,154 | 28.615385 | 165 | py |
Fanoos | Fanoos-master/CEGARLikeAnalysis/labelsForBoxes.py | # Fanoos: Multi-Resolution, Multi-Strength, Interactive Explanations for Learned Systems ; David Bayani and Stefan Mitsch ; paper at https://arxiv.org/abs/2006.12453
# Copyright (C) 2021 David Bayani
#
# This file is part of Fanoos.
#
# Fanoos is free software: you can redistribute it and/or modify
# it under the te... | 4,392 | 92.468085 | 2,783 | py |
Fanoos | Fanoos-master/CEGARLikeAnalysis/CEGARLikeAnalysisMain.py | # Fanoos: Multi-Resolution, Multi-Strength, Interactive Explanations for Learned Systems ; David Bayani and Stefan Mitsch ; paper at https://arxiv.org/abs/2006.12453
# Copyright (C) 2021 David Bayani
#
# This file is part of Fanoos.
#
# Fanoos is free software: you can redistribute it and/or modify
# it under the te... | 11,844 | 63.375 | 2,781 | py |
Fanoos | Fanoos-master/CEGARLikeAnalysis/__init__.py | # Fanoos: Multi-Resolution, Multi-Strength, Interactive Explanations for Learned Systems ; David Bayani and Stefan Mitsch ; paper at https://arxiv.org/abs/2006.12453
# Copyright (C) 2021 David Bayani
#
# This file is part of Fanoos.
#
# Fanoos is free software: you can redistribute it and/or modify
# it under the te... | 1,154 | 28.615385 | 165 | py |
IJCAI2016 | IJCAI2016-master/ConfusionMatrix.py | import numpy as np
class ConfusionMatrix:
"""
Simple confusion matrix class
row is the true class, column is the predicted class
"""
def __init__(self, n_classes):
self.n_classes = n_classes
self.mat = np.zeros((n_classes,n_classes),dtype='int')
def __str__(self):
... | 3,077 | 28.596154 | 112 | py |
noelle | noelle-master/external/autotuner/src/autotuner.py | #!/usr/bin/env python
import os
import sys
import json
import traceback
import opentuner
from opentuner import ConfigurationManipulator
from opentuner import IntegerParameter
from opentuner.search.manipulator import BooleanParameter
from opentuner import LogIntegerParameter
from opentuner import SwitchParameter
from ... | 8,849 | 29.308219 | 111 | py |
noelle | noelle-master/external/autotuner/scripts/filter.py | #!/usr/bin/env python
import os
import sys
import json
import traceback
thisPath = os.path.dirname(os.path.abspath(__file__))
sys.path.append(thisPath + "/../utils")
import utils
class Filter:
spaceFile = None
confFile = None
executionTimeFile = None
baselineTimeFile = None
baselineTime = None
ranges = ... | 2,279 | 24.333333 | 88 | py |
noelle | noelle-master/external/autotuner/utils/compileAndRunBaseline.py | #!/usr/bin/env python
import os
import sys
thisPath = os.path.dirname(os.path.abspath(__file__))
sys.path.append(thisPath)
import utils
def writeExecutionTimeFile(pathToFile, time):
with open(str(pathToFile), 'w') as f:
f.write(str(time))
f.close()
return
def compileAndRunBaseline():
spaceFile = o... | 1,109 | 19.943396 | 59 | py |
noelle | noelle-master/external/autotuner/utils/utils.py | #!/usr/bin/env python
import os
import sys
from enum import Enum
# Risky. It works because autotuner.py and filter.py are at the same level in the directoy tree.
thisPath = os.path.dirname(os.path.abspath(__file__))
class Technique(Enum):
DOALL = 4
HELIX = 5
DSWP = 6
def readExecutionTimeFile(pathToFile):
... | 1,509 | 19.972222 | 102 | py |
noelle | noelle-master/external/autotuner/utils/genSeedConf.py | import os
import sys
import json
import tempfile
thisPath = os.path.dirname(os.path.abspath(__file__))
sys.path.append(thisPath + "/../utils")
import utils
# DOALL index is 4
reverseIndex = 4
# We should consider all permutations, but they can grow quickly, and we can't spend all autotuner time running seed configu... | 2,592 | 31.012346 | 471 | py |
noelle | noelle-master/tests/condor/scripts/generateCondorScript.py | import os
import sys
import getpass
## Process the command line arguments
#
#
def getArgs():
numOfArgs = len(sys.argv)
args = {}
args['fromFile'] = str(sys.argv[1])
args['toFile'] = str(sys.argv[2])
args['testsPath'] = str(sys.argv[3])
args['noelleOptions'] = str(sys.argv[4])
args['parOptions'] = str(sy... | 2,115 | 30.117647 | 85 | py |
ppgn | ppgn-master/settings.py | # Set this to the path to Caffe installation on your system
caffe_root = "/path/to/your/caffe/python"
gpu = True
# -------------------------------------
# The following are hard-coded and hardly change unless we change to use a different generator.
# -------------------------------------
# Generator G
generator_weigh... | 777 | 32.826087 | 95 | py |
ppgn | ppgn-master/sampling_caption.py | #!/usr/bin/env python
'''
Anh Nguyen <[email protected]>
2016
'''
import os, sys
os.environ['GLOG_minloglevel'] = '2' # suprress Caffe verbose prints
import settings
sys.path.insert(0, settings.caffe_root)
import caffe
import numpy as np
from numpy.linalg import norm
import scipy.misc, scipy.io
import argparse
i... | 9,371 | 41.6 | 157 | py |
ppgn | ppgn-master/sampler.py | #!/usr/bin/env python
'''
Anh Nguyen <[email protected]>
2017
'''
import os, sys
os.environ['GLOG_minloglevel'] = '2' # suprress Caffe verbose prints
import settings
sys.path.insert(0, settings.caffe_root)
import caffe
import numpy as np
from numpy.linalg import norm
import scipy.misc, scipy.io
import util
class... | 8,319 | 41.020202 | 174 | py |
ppgn | ppgn-master/sampling_class.py | #!/usr/bin/env python
'''
Anh Nguyen <[email protected]>
2016
'''
import os, sys
os.environ['GLOG_minloglevel'] = '2' # suprress Caffe verbose prints
import settings
sys.path.insert(0, settings.caffe_root)
import caffe
import numpy as np
from numpy.linalg import norm
import scipy.misc, scipy.io
import argparse
i... | 11,251 | 40.216117 | 165 | py |
ppgn | ppgn-master/util.py | import numpy as np
import scipy.misc
import subprocess
def normalize(img, out_range=(0.,1.), in_range=None):
if not in_range:
min_val = np.min(img)
max_val = np.max(img)
else:
min_val = in_range[0]
max_val = in_range[1]
result = np.copy(img)
result[result > max_val] = m... | 4,035 | 27.422535 | 112 | py |
gcnn-survey-paper | gcnn-survey-paper-master/best_model.py | #Copyright 2018 Google LLC
#
#Licensed under the Apache License, Version 2.0 (the "License");
#you may not use this file except in compliance with the License.
#You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
#Unless required by applicable law or agreed to in writing, softwa... | 4,070 | 40.540816 | 80 | py |
gcnn-survey-paper | gcnn-survey-paper-master/launch.py | #Copyright 2018 Google LLC
#
#Licensed under the Apache License, Version 2.0 (the "License");
#you may not use this file except in compliance with the License.
#You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
#Unless required by applicable law or agreed to in writing, softwa... | 3,950 | 32.769231 | 79 | py |
gcnn-survey-paper | gcnn-survey-paper-master/__init__.py | #Copyright 2018 Google LLC
#
#Licensed under the Apache License, Version 2.0 (the "License");
#you may not use this file except in compliance with the License.
#You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
#Unless required by applicable law or agreed to in writing, softwa... | 565 | 39.428571 | 73 | py |
gcnn-survey-paper | gcnn-survey-paper-master/train.py | #Copyright 2018 Google LLC
#
#Licensed under the Apache License, Version 2.0 (the "License");
#you may not use this file except in compliance with the License.
#You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
#Unless required by applicable law or agreed to in writing, softwa... | 16,343 | 38.669903 | 80 | py |
gcnn-survey-paper | gcnn-survey-paper-master/third_party/__init__.py | 0 | 0 | 0 | py | |
gcnn-survey-paper | gcnn-survey-paper-master/third_party/gcn/setup.py | from setuptools import setup
from setuptools import find_packages
setup(name='gcn',
version='1.0',
description='Graph Convolutional Networks in Tensorflow',
author='Thomas Kipf',
author_email='[email protected]',
url='https://tkipf.github.io',
download_url='https://github.com/tk... | 591 | 31.888889 | 63 | py |
gcnn-survey-paper | gcnn-survey-paper-master/third_party/gcn/__init__.py | 0 | 0 | 0 | py | |
gcnn-survey-paper | gcnn-survey-paper-master/third_party/gcn/gcn/inits.py | import tensorflow as tf
import numpy as np
def uniform(shape, scale=0.05, name=None):
"""Uniform init."""
initial = tf.random_uniform(shape, minval=-scale, maxval=scale, dtype=tf.float32)
return tf.Variable(initial, name=name)
def glorot(shape, name=None):
"""Glorot & Bengio (AISTATS 2010) init."""
... | 791 | 28.333333 | 95 | py |
gcnn-survey-paper | gcnn-survey-paper-master/third_party/gcn/gcn/utils.py | import numpy as np
import pickle as pkl
import networkx as nx
import scipy.sparse as sp
from scipy.sparse.linalg.eigen.arpack import eigsh
import sys
def parse_index_file(filename):
"""Parse index file."""
index = []
for line in open(filename):
index.append(int(line.strip()))
return index
de... | 6,500 | 37.241176 | 115 | py |
gcnn-survey-paper | gcnn-survey-paper-master/third_party/gcn/gcn/layers.py | from gcn.inits import *
import tensorflow as tf
flags = tf.app.flags
FLAGS = flags.FLAGS
# global unique layer ID dictionary for layer name assignment
_LAYER_UIDS = {}
def get_layer_uid(layer_name=''):
"""Helper function, assigns unique layer IDs."""
if layer_name not in _LAYER_UIDS:
_LAYER_UIDS[lay... | 5,886 | 30.148148 | 92 | py |
gcnn-survey-paper | gcnn-survey-paper-master/third_party/gcn/gcn/models.py | from gcn.layers import *
from gcn.metrics import *
flags = tf.app.flags
FLAGS = flags.FLAGS
class Model(object):
def __init__(self, **kwargs):
allowed_kwargs = {'name', 'logging'}
for kwarg in kwargs.keys():
assert kwarg in allowed_kwargs, 'Invalid keyword argument: ' + kwarg
... | 6,264 | 34.196629 | 112 | py |
gcnn-survey-paper | gcnn-survey-paper-master/third_party/gcn/gcn/metrics.py | import tensorflow as tf
def masked_softmax_cross_entropy(preds, labels, mask):
"""Softmax cross-entropy loss with masking."""
loss = tf.nn.softmax_cross_entropy_with_logits(logits=preds, labels=labels)
mask = tf.cast(mask, dtype=tf.float32)
mask /= tf.reduce_mean(mask)
loss *= mask
return tf.r... | 691 | 31.952381 | 79 | py |
gcnn-survey-paper | gcnn-survey-paper-master/third_party/gcn/gcn/__init__.py | from __future__ import print_function
from __future__ import division
| 70 | 22.666667 | 37 | py |
gcnn-survey-paper | gcnn-survey-paper-master/third_party/gcn/gcn/train.py | from __future__ import division
from __future__ import print_function
import time
import tensorflow as tf
from gcn.utils import *
from gcn.models import GCN, MLP
# Set random seed
seed = 123
np.random.seed(seed)
tf.set_random_seed(seed)
# Settings
flags = tf.app.flags
FLAGS = flags.FLAGS
flags.DEFINE_string('datase... | 3,891 | 35.037037 | 103 | py |
gcnn-survey-paper | gcnn-survey-paper-master/models/node_edge_models.py | #Copyright 2018 Google LLC
#
#Licensed under the Apache License, Version 2.0 (the "License");
#you may not use this file except in compliance with the License.
#You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
#Unless required by applicable law or agreed to in writing, softwa... | 8,619 | 36.155172 | 80 | py |
gcnn-survey-paper | gcnn-survey-paper-master/models/edge_models.py | #Copyright 2018 Google LLC
#
#Licensed under the Apache License, Version 2.0 (the "License");
#you may not use this file except in compliance with the License.
#You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
#Unless required by applicable law or agreed to in writing, softwa... | 5,060 | 34.640845 | 79 | py |
gcnn-survey-paper | gcnn-survey-paper-master/models/node_models.py | #Copyright 2018 Google LLC
#
#Licensed under the Apache License, Version 2.0 (the "License");
#you may not use this file except in compliance with the License.
#You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
#Unless required by applicable law or agreed to in writing, softwa... | 7,409 | 36.236181 | 80 | py |
gcnn-survey-paper | gcnn-survey-paper-master/models/__init__.py | #Copyright 2018 Google LLC
#
#Licensed under the Apache License, Version 2.0 (the "License");
#you may not use this file except in compliance with the License.
#You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
#Unless required by applicable law or agreed to in writing, softwa... | 565 | 39.428571 | 73 | py |
gcnn-survey-paper | gcnn-survey-paper-master/models/base_models.py | #Copyright 2018 Google LLC
#
#Licensed under the Apache License, Version 2.0 (the "License");
#you may not use this file except in compliance with the License.
#You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
#Unless required by applicable law or agreed to in writing, softwa... | 15,593 | 38.180905 | 80 | py |
gcnn-survey-paper | gcnn-survey-paper-master/utils/model_utils.py | #Copyright 2018 Google LLC
#
#Licensed under the Apache License, Version 2.0 (the "License");
#you may not use this file except in compliance with the License.
#You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
#Unless required by applicable law or agreed to in writing, softwa... | 19,241 | 35.033708 | 80 | py |
gcnn-survey-paper | gcnn-survey-paper-master/utils/data_utils.py | #Copyright 2018 Google LLC
#
#Licensed under the Apache License, Version 2.0 (the "License");
#you may not use this file except in compliance with the License.
#You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
#Unless required by applicable law or agreed to in writing, softwa... | 12,831 | 33.775068 | 80 | py |
gcnn-survey-paper | gcnn-survey-paper-master/utils/link_prediction_utils.py | #Copyright 2018 Google LLC
#
#Licensed under the Apache License, Version 2.0 (the "License");
#you may not use this file except in compliance with the License.
#You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
#Unless required by applicable law or agreed to in writing, softwa... | 3,591 | 32.259259 | 80 | py |
gcnn-survey-paper | gcnn-survey-paper-master/utils/train_utils.py | #Copyright 2018 Google LLC
#
#Licensed under the Apache License, Version 2.0 (the "License");
#you may not use this file except in compliance with the License.
#You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
#Unless required by applicable law or agreed to in writing, softwa... | 1,447 | 27.392157 | 78 | py |
gcnn-survey-paper | gcnn-survey-paper-master/utils/__init__.py | #Copyright 2018 Google LLC
#
#Licensed under the Apache License, Version 2.0 (the "License");
#you may not use this file except in compliance with the License.
#You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
#Unless required by applicable law or agreed to in writing, softwa... | 565 | 39.428571 | 73 | py |
nervaluate | nervaluate-main/examples/example_no_loader.py | import nltk
import sklearn_crfsuite
from sklearn.metrics import classification_report
from nervaluate import collect_named_entities, summary_report_ent, summary_report_overall
from nervaluate import Evaluator
def word2features(sent, i):
word = sent[i][0]
postag = sent[i][1]
features = {
"bias": ... | 3,759 | 30.07438 | 115 | py |
nervaluate | nervaluate-main/src/nervaluate/evaluate.py | import logging
from copy import deepcopy
from typing import List, Dict, Union, Tuple
from .utils import conll_to_spans, find_overlap, list_to_spans
class Evaluator: # pylint: disable=too-many-instance-attributes, too-few-public-methods
def __init__(
self,
true: Union[List[List[str]], List[str], ... | 18,400 | 38.829004 | 118 | py |
nervaluate | nervaluate-main/src/nervaluate/utils.py | from typing import List, Dict, Optional
def split_list(token: List[str], split_chars: Optional[List[str]] = None) -> List[List[str]]:
if split_chars is None:
split_chars = [""]
out = []
chunk = []
for i, item in enumerate(token):
if item not in split_chars:
chunk.append(ite... | 2,951 | 27.114286 | 100 | py |
nervaluate | nervaluate-main/src/nervaluate/__init__.py | from .evaluate import (
Evaluator,
compute_actual_possible,
compute_metrics,
compute_precision_recall,
compute_precision_recall_wrapper,
find_overlap,
summary_report_ent,
summary_report_overall,
)
from .utils import collect_named_entities, conll_to_spans, list_to_spans, split_list
| 314 | 25.25 | 84 | py |
nervaluate | nervaluate-main/tests/test_evaluator.py | from nervaluate import Evaluator
def test_evaluator_simple_case():
true = [
[{"label": "PER", "start": 2, "end": 4}],
[
{"label": "LOC", "start": 1, "end": 2},
{"label": "LOC", "start": 3, "end": 4},
],
]
pred = [
[{"label": "PER", "start": 2, "end":... | 22,589 | 26.616137 | 85 | py |
nervaluate | nervaluate-main/tests/test_loaders.py | from nervaluate import Evaluator
def test_loaders_produce_the_same_results():
true_list = [
["O", "O", "O", "O", "O", "O"],
["O", "O", "B-ORG", "I-ORG", "O", "O"],
["O", "O", "B-MISC", "I-MISC", "O", "O"],
["B-MISC", "I-MISC", "I-MISC", "I-MISC", "I-MISC", "I-MISC"],
]
pre... | 2,210 | 36.474576 | 100 | py |
nervaluate | nervaluate-main/tests/__init__.py | import sys
sys.path.append("../src/nervaluate")
| 49 | 11.5 | 36 | py |
nervaluate | nervaluate-main/tests/test_nervaluate.py | from nervaluate import (
compute_actual_possible,
compute_metrics,
compute_precision_recall,
compute_precision_recall_wrapper,
)
def test_compute_metrics_case_1():
true_named_entities = [
{"label": "PER", "start": 59, "end": 69},
{"label": "LOC", "start": 127, "end": 134},
... | 23,628 | 27.851038 | 98 | py |
nervaluate | nervaluate-main/tests/test_utils.py | from nervaluate import (
collect_named_entities,
conll_to_spans,
find_overlap,
list_to_spans,
split_list,
)
def test_list_to_spans():
before = [
["O", "B-LOC", "I-LOC", "B-LOC", "I-LOC", "O"],
["O", "B-GPE", "I-GPE", "B-GPE", "I-GPE", "O"],
]
expected = [
[
... | 4,946 | 24.111675 | 74 | py |
STTS | STTS-main/MViT/setup.py | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
from setuptools import find_packages, setup
setup(
name="slowfast",
version="1.0",
author="FAIR",
url="unknown",
description="SlowFast Video Understanding",
install_requires=[
"yacs>=0.1.6",
... | 794 | 23.090909 | 71 | py |
STTS | STTS-main/MViT/tools/run_net.py | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
"""Wrapper to train and test a video classification model."""
from slowfast.config.defaults import assert_and_infer_cfg
from slowfast.utils.misc import launch_job
from slowfast.utils.parser import load_config, parse_args
fr... | 1,303 | 24.568627 | 73 | py |
STTS | STTS-main/MViT/tools/visualization.py | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
import numpy as np
import pickle
import torch
import tqdm
import slowfast.datasets.utils as data_utils
import slowfast.utils.checkpoint as cu
import slowfast.utils.distributed as du
import slowfast.utils.logging as logging
... | 14,000 | 39.465318 | 126 | py |
STTS | STTS-main/MViT/tools/benchmark.py | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
"""
A script to benchmark data loading.
"""
import slowfast.utils.logging as logging
from slowfast.utils.benchmark import benchmark_data_loading
from slowfast.utils.misc import launch_job
from slowfast.utils.parser import loa... | 584 | 21.5 | 74 | py |
STTS | STTS-main/MViT/tools/test_net.py | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
"""Multi-view test a video classification model."""
import numpy as np
import os
import pickle
import torch
import torch.nn.functional as F
from einops import rearrange
import slowfast.utils.checkpoint as cu
import slowfast... | 7,234 | 34.816832 | 84 | py |
STTS | STTS-main/MViT/tools/demo_net.py | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
import numpy as np
import time
import torch
import tqdm
from slowfast.utils import logging
from slowfast.visualization.async_predictor import AsyncDemo, AsyncVis
from slowfast.visualization.ava_demo_precomputed_boxes import... | 3,683 | 29.7 | 93 | py |
STTS | STTS-main/MViT/tools/submit.py | import argparse
import os
from pathlib import Path
import submitit
import torch
from slowfast.utils.misc import launch_job
from slowfast.utils.parser import load_config
from run_net import get_func
def parse_args():
parser = argparse.ArgumentParser(
"Submitit for onestage training", add_help=False
)... | 6,114 | 30.040609 | 102 | py |
STTS | STTS-main/MViT/tools/train_net.py | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
"""Train a video classification model."""
import numpy as np
import torch
from fvcore.nn.precise_bn import get_bn_modules, update_bn_stats
import copy
import slowfast.models.losses as losses
import slowfast.models.optimize... | 21,443 | 34.562189 | 116 | py |
STTS | STTS-main/MViT/slowfast/__init__.py | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
from slowfast.utils.env import setup_environment
setup_environment()
| 166 | 22.857143 | 71 | py |
STTS | STTS-main/MViT/slowfast/config/custom_config.py | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
"""Add custom configs and default values"""
def add_custom_config(_C):
# Add your own customized configs.
pass
| 217 | 20.8 | 71 | py |
STTS | STTS-main/MViT/slowfast/config/defaults.py | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
"""Configs."""
from fvcore.common.config import CfgNode
from . import custom_config
# -----------------------------------------------------------------------------
# Config definition
# ------------------------------------... | 31,843 | 31.230769 | 115 | py |
STTS | STTS-main/MViT/slowfast/config/__init__.py | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
| 95 | 31 | 71 | py |
STTS | STTS-main/MViT/slowfast/models/operators.py | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
"""Custom operators."""
import torch
import torch.nn as nn
class Swish(nn.Module):
"""Swish activation function: x * sigmoid(x)."""
def __init__(self):
super(Swish, self).__init__()
def forward(self,... | 2,552 | 29.759036 | 86 | py |
STTS | STTS-main/MViT/slowfast/models/custom_video_model_builder.py | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
"""A More Flexible Video models."""
| 133 | 21.333333 | 71 | py |
STTS | STTS-main/MViT/slowfast/models/losses.py | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
"""Loss functions."""
import torch
import torch.nn as nn
import torch.nn.functional as F
from slowfast.models.topk import batched_index_select
class SoftTargetCrossEntropy(nn.Module):
"""
Cross entropy loss with so... | 2,960 | 28.61 | 110 | py |
STTS | STTS-main/MViT/slowfast/models/batchnorm_helper.py | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
"""BatchNorm (BN) utility functions and custom batch-size BN implementations"""
from functools import partial
import torch
import torch.distributed as dist
import torch.nn as nn
from torch.autograd.function import Function
... | 7,424 | 32.90411 | 82 | py |
STTS | STTS-main/MViT/slowfast/models/mvit.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
"""Video models."""
import math
from functools import partial
import torch
import torch.nn as nn
from torch.nn.init import trunc_normal_
from einops import rearrange
from math import sqrt
import slowfast.utils.weight_init_helper as init_helper
f... | 14,098 | 35.058824 | 111 | py |
STTS | STTS-main/MViT/slowfast/models/ptv_model_builder.py | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
"""Video models using PyTorchVideo model builder."""
from functools import partial
import torch.nn as nn
from detectron2.layers import ROIAlign
from slowfast.models.batchnorm_helper import get_norm
from slowfast.models.vi... | 26,986 | 33.777062 | 89 | py |
STTS | STTS-main/MViT/slowfast/models/topk.py | import torch
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
import einops
from einops import rearrange
from math import sqrt
import time
class PredictorLG(nn.Module):
""" Image to Patch Embedding
"""
def __init__(self, embed_dim=384):
super().__init__()
self.in_con... | 8,512 | 32.916335 | 101 | py |
STTS | STTS-main/MViT/slowfast/models/utils.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
from logging import NOTSET
import slowfast.utils.logging as logging
import numpy as np
import torch.nn.functional as F
from einops import rearrange
logger = logging.get_logger(__name__)
def round_width(width, multiplier, min_width=1, divisor=1,... | 1,017 | 28.941176 | 77 | py |
STTS | STTS-main/MViT/slowfast/models/nonlocal_helper.py | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
"""Non-local helper"""
import torch
import torch.nn as nn
class Nonlocal(nn.Module):
"""
Builds Non-local Neural Networks as a generic family of building
blocks for capturing long-range dependencies. Non-local... | 5,418 | 35.369128 | 80 | py |
STTS | STTS-main/MViT/slowfast/models/video_model_builder.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
"""Video models."""
import math
from functools import partial
import torch
import torch.nn as nn
from torch.nn.init import trunc_normal_
import slowfast.utils.weight_init_helper as init_helper
from slowfast.models.attention import MultiScaleBlo... | 28,931 | 36.044814 | 96 | py |
STTS | STTS-main/MViT/slowfast/models/common.py | # Copyright (c) Facebook, Inc. and its affiliates.
import torch
import torch.nn as nn
class Mlp(nn.Module):
def __init__(
self,
in_features,
hidden_features=None,
out_features=None,
act_layer=nn.GELU,
drop_rate=0.0,
):
super().__init__()
self.dr... | 1,900 | 25.774648 | 99 | py |
STTS | STTS-main/MViT/slowfast/models/head_helper.py | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
"""ResNe(X)t Head helper."""
import torch
import torch.nn as nn
from detectron2.layers import ROIAlign
class ResNetRoIHead(nn.Module):
"""
ResNe(X)t RoI head.
"""
def __init__(
self,
dim_i... | 14,978 | 35.623472 | 81 | py |
STTS | STTS-main/MViT/slowfast/models/stem_helper.py | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
"""ResNe(X)t 3D stem helper."""
import torch.nn as nn
def get_stem_func(name):
"""
Retrieves the stem module by name.
"""
trans_funcs = {"x3d_stem": X3DStem, "basic_stem": ResNetBasicStem}
assert (
... | 10,775 | 32.362229 | 102 | py |
STTS | STTS-main/MViT/slowfast/models/__init__.py | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
from .build import MODEL_REGISTRY, build_model # noqa
from .custom_video_model_builder import * # noqa
from .video_model_builder import ResNet, SlowFast # noqa
from .mvit import MViT
try:
from .ptv_model_builder imp... | 513 | 24.7 | 71 | py |
STTS | STTS-main/MViT/slowfast/models/resnet_helper.py | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
"""Video models."""
import torch
import torch.nn as nn
from slowfast.models.common import drop_path
from slowfast.models.nonlocal_helper import Nonlocal
from slowfast.models.operators import SE, Swish
def get_trans_func(... | 24,795 | 33.15427 | 83 | py |
STTS | STTS-main/MViT/slowfast/models/attention.py | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
import numpy
import torch
import torch.nn as nn
from einops import rearrange
from slowfast.models.common import DropPath, Mlp
def attention_pool(tensor, pool, thw_shape, has_cls_embed=True, norm=None):
if pool is None... | 8,875 | 29.712803 | 80 | py |
STTS | STTS-main/MViT/slowfast/models/build.py | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
"""Model construction functions."""
import torch
from fvcore.common.registry import Registry
MODEL_REGISTRY = Registry("MODEL")
MODEL_REGISTRY.__doc__ = """
Registry for video model.
The registered object will be called w... | 1,725 | 30.962963 | 80 | py |
STTS | STTS-main/MViT/slowfast/models/optimizer.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
"""Optimizer."""
import torch
import slowfast.utils.lr_policy as lr_policy
def construct_optimizer(model, cfg):
"""
Construct a stochastic gradient descent or ADAM optimizer with momentum.
Details can be found in:
Herbert Robbi... | 4,155 | 30.484848 | 101 | py |
STTS | STTS-main/MViT/slowfast/datasets/video_container.py | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
import av
def get_video_container(path_to_vid, multi_thread_decode=False, backend="pyav"):
"""
Given the path to the video, return the pyav video container.
Args:
path_to_vid (str): path to the video.
... | 1,033 | 33.466667 | 80 | py |
STTS | STTS-main/MViT/slowfast/datasets/transform.py | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
import math
import numpy as np
# import cv2
import random
import torch
import torchvision.transforms.functional as F
from PIL import Image
from torchvision import transforms
from .rand_augment import rand_augment_transform... | 30,520 | 33.101676 | 90 | py |
STTS | STTS-main/MViT/slowfast/datasets/utils.py | #!/usr/bin/env python3
import logging
import numpy as np
import os
import random
import time
from collections import defaultdict
import cv2
import torch
from torch.utils.data.distributed import DistributedSampler
from slowfast.utils.env import pathmgr
from . import transform as transform
logger = logging.getLogger(... | 11,739 | 32.638968 | 90 | py |
STTS | STTS-main/MViT/slowfast/datasets/mixup.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
"""
This implementation is based on
https://github.com/rwightman/pytorch-image-models/blob/master/timm/data/mixup.py,
published under an Apache License 2.0.
COMMENT FROM ORIGINAL:
Mixup and Cutmix
Papers:
mixup: Beyond Empirical Risk Minimization... | 6,659 | 34.052632 | 127 | py |
STTS | STTS-main/MViT/slowfast/datasets/ava_dataset.py | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
import logging
import numpy as np
import torch
from . import ava_helper as ava_helper
from . import cv2_transform as cv2_transform
from . import transform as transform
from . import utils as utils
from .build import DATASET... | 14,963 | 33.881119 | 82 | py |
STTS | STTS-main/MViT/slowfast/datasets/ptv_datasets.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
import functools
import os
from typing import Dict
import torch
from torch.utils.data import (
DistributedSampler,
RandomSampler,
SequentialSampler,
)
from torchvision.transforms import Compose, Lambda
from torchvision.transforms._tran... | 19,371 | 31.557983 | 84 | py |
STTS | STTS-main/MViT/slowfast/datasets/charades.py | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
import os
import random
from itertools import chain as chain
import torch
import torch.utils.data
import slowfast.utils.logging as logging
from slowfast.utils.env import pathmgr
from . import utils as utils
from .build imp... | 9,677 | 36.366795 | 82 | py |
STTS | STTS-main/MViT/slowfast/datasets/multigrid_helper.py | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
"""Helper functions for multigrid training."""
import numpy as np
import torch
from torch.utils.data.sampler import Sampler
TORCH_MAJOR = int(torch.__version__.split(".")[0])
TORCH_MINOR = int(torch.__version__.split(".")[... | 2,753 | 30.295455 | 78 | py |
STTS | STTS-main/MViT/slowfast/datasets/decoder.py | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
import math
import numpy as np
import random
import torch
import torchvision.io as io
def temporal_sampling(frames, start_idx, end_idx, num_samples):
"""
Given the start and end frame index, sample num_samples fram... | 15,165 | 37.787724 | 80 | py |
STTS | STTS-main/MViT/slowfast/datasets/ava_helper.py | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
import logging
import os
from collections import defaultdict
from slowfast.utils.env import pathmgr
logger = logging.getLogger(__name__)
FPS = 30
AVA_VALID_FRAMES = range(902, 1799)
def load_image_lists(cfg, is_train):
... | 8,177 | 33.361345 | 102 | py |
STTS | STTS-main/MViT/slowfast/datasets/__init__.py | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
from .ava_dataset import Ava # noqa
from .build import DATASET_REGISTRY, build_dataset # noqa
from .charades import Charades # noqa
from .imagenet import Imagenet # noqa
from .kinetics import Kinetics # noqa
from .ssv2 ... | 498 | 32.266667 | 71 | py |
STTS | STTS-main/MViT/slowfast/datasets/ssv2.py | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
import json
import numpy as np
import os
import random
from itertools import chain as chain
import torch
import torch.utils.data
import slowfast.utils.logging as logging
from slowfast.utils.env import pathmgr
from . import... | 10,293 | 35.246479 | 82 | py |
STTS | STTS-main/MViT/slowfast/datasets/random_erasing.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
"""
This implementation is based on
https://github.com/rwightman/pytorch-image-models/blob/master/timm/data/random_erasing.py
pulished under an Apache License 2.0.
COMMENT FROM ORIGINAL:
Originally inspired by impl at https://github.com/zhunzhong... | 6,887 | 37.055249 | 95 | py |
STTS | STTS-main/MViT/slowfast/datasets/cv2_transform.py | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
import math
import numpy as np
import cv2
def clip_boxes_to_image(boxes, height, width):
"""
Clip the boxes with the height and width of the image size.
Args:
boxes (ndarray): bounding boxes to peform c... | 26,476 | 32.179198 | 80 | py |
STTS | STTS-main/MViT/slowfast/datasets/kinetics.py | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
import os
import random
import torch
import torch.utils.data
import numpy as np
from torchvision import transforms
import slowfast.utils.logging as logging
from slowfast.utils.env import pathmgr
from . import decoder as de... | 16,469 | 37.661972 | 87 | py |
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