Search is not available for this dataset
repo stringlengths 2 152 ⌀ | file stringlengths 15 239 | code stringlengths 0 58.4M | file_length int64 0 58.4M | avg_line_length float64 0 1.81M | max_line_length int64 0 12.7M | extension_type stringclasses 364
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null | OpenOOD-main/openood/preprocessors/cutout_preprocessor.py | import numpy as np
import torch
import torchvision.transforms as tvs_trans
from openood.utils.config import Config
from .transform import Convert, interpolation_modes, normalization_dict
class CutoutPreprocessor():
def __init__(self, config: Config):
self.pre_size = config.dataset.pre_size
self.i... | 3,803 | 35.228571 | 79 | py |
null | OpenOOD-main/openood/preprocessors/cutpaste_preprocessor.py | import math
import random
import torch
import torchvision.transforms as tvs_trans
from .base_preprocessor import BasePreprocessor
from .transform import Convert, normalization_dict
class CutPastePreprocessor(BasePreprocessor):
def __init__(
self, config,
split): # modify, preprocessors ... | 2,875 | 32.44186 | 78 | py |
null | OpenOOD-main/openood/preprocessors/draem_preprocessor.py | import glob
import math
import os
import cv2
import imgaug.augmenters as iaa
import numpy as np
import torch
from .base_preprocessor import BasePreprocessor
class DRAEMPreprocessor(BasePreprocessor):
def __init__(self, config):
self.config = config
self.args = self.config.preprocessor.preprocess... | 12,479 | 38.745223 | 79 | py |
null | OpenOOD-main/openood/preprocessors/pixmix_preprocessor.py | import os
import numpy as np
import torch
import torchvision.transforms as tvs_trans
from PIL import Image as Image
from PIL import ImageEnhance, ImageOps
from .base_preprocessor import BasePreprocessor
from .transform import Convert, interpolation_modes, normalization_dict
resize_list = {
'osr': 32,
'mnist'... | 10,054 | 31.022293 | 79 | py |
null | OpenOOD-main/openood/preprocessors/randaugment_preprocessor.py | import torchvision.transforms as tvs_trans
from openood.utils.config import Config
from .transform import Convert, interpolation_modes, normalization_dict
class RandAugmentPreprocessor():
def __init__(self, config: Config):
self.pre_size = config.dataset.pre_size
self.image_size = config.dataset... | 2,881 | 42.014925 | 79 | py |
null | OpenOOD-main/openood/preprocessors/test_preprocessor.py | import torchvision.transforms as tvs_trans
from openood.utils.config import Config
from .base_preprocessor import BasePreprocessor
from .transform import Convert
class TestStandardPreProcessor(BasePreprocessor):
"""For test and validation dataset standard image transformation."""
def __init__(self, config: ... | 703 | 34.2 | 78 | py |
null | OpenOOD-main/openood/preprocessors/transform.py | import torchvision.transforms as tvs_trans
normalization_dict = {
'cifar10': [[0.4914, 0.4822, 0.4465], [0.2470, 0.2435, 0.2616]],
'cifar100': [[0.5071, 0.4867, 0.4408], [0.2675, 0.2565, 0.2761]],
'imagenet': [[0.485, 0.456, 0.406], [0.229, 0.224, 0.225]],
'imagenet200': [[0.485, 0.456, 0.406], [0.229,... | 885 | 29.551724 | 69 | py |
null | OpenOOD-main/openood/preprocessors/utils.py | from openood.utils import Config
from .base_preprocessor import BasePreprocessor
from .cider_preprocessor import CiderPreprocessor
from .csi_preprocessor import CSIPreprocessor
from .cutpaste_preprocessor import CutPastePreprocessor
from .draem_preprocessor import DRAEMPreprocessor
from .augmix_preprocessor import Aug... | 1,403 | 34.1 | 71 | py |
null | OpenOOD-main/openood/recorders/__init__.py | from .utils import get_recorder
| 32 | 15.5 | 31 | py |
null | OpenOOD-main/openood/recorders/ad_recorder.py | import os
import time
from pathlib import Path
import torch
from .base_recorder import BaseRecorder
class ADRecorder(BaseRecorder):
def __init__(self, config) -> None:
super(ADRecorder, self).__init__(config)
self.best_epoch_idx = 0
self.best_result = 0
self.begin_time = time.t... | 2,143 | 34.733333 | 76 | py |
null | OpenOOD-main/openood/recorders/arpl_recorder.py | import copy
import os
import time
import torch
from .base_recorder import BaseRecorder
class ARPLRecorder(BaseRecorder):
def __init__(self, config) -> None:
super().__init__(config)
def report(self, train_metrics, val_metrics):
if 'lossD' in train_metrics.keys():
print('\nEpoch ... | 2,532 | 37.378788 | 76 | py |
null | OpenOOD-main/openood/recorders/base_recorder.py | import os
import time
from pathlib import Path
import torch
class BaseRecorder:
def __init__(self, config) -> None:
self.config = config
self.best_acc = 0.0
self.best_epoch_idx = 0
self.begin_time = time.time()
self.output_dir = config.output_dir
def report(self, tr... | 2,475 | 34.884058 | 79 | py |
null | OpenOOD-main/openood/recorders/cider_recorder.py | import os
import time
from pathlib import Path
import torch
class CiderRecorder:
def __init__(self, config) -> None:
self.config = config
self.best_loss = float('inf')
self.best_epoch_idx = 0
self.begin_time = time.time()
self.output_dir = config.output_dir
def repo... | 2,372 | 34.41791 | 78 | py |
null | OpenOOD-main/openood/recorders/cutpaste_recorder.py | import os
import time
from pathlib import Path
import torch
class CutpasteRecorder:
def __init__(self, config) -> None:
self.config = config
self.best_auroc = 0.0
self.best_epoch_idx = 0
self.begin_time = time.time()
self.output_dir = config.output_dir
def report(se... | 2,071 | 34.118644 | 75 | py |
null | OpenOOD-main/openood/recorders/draem_recorder.py | import os
from pathlib import Path
import torch
from .ad_recorder import ADRecorder
class DRAEMRecorder(ADRecorder):
def __init__(self, config) -> None:
super(DRAEMRecorder, self).__init__(config)
self.best_model_basis = self.config.recorder.best_model_basis
self.run_name = ('draem_tes... | 2,416 | 41.403509 | 78 | py |
null | OpenOOD-main/openood/recorders/dsvdd_recorder.py | import os
import time
from pathlib import Path
import torch
class DCAERecorder:
def __init__(self, config) -> None:
self.config = config
self.output_dir = config.output_dir
self.best_roc_auc = 0.0
self.best_epoch_idx = 0
self.begin_time = time.time()
def report(self, ... | 3,220 | 36.453488 | 75 | py |
null | OpenOOD-main/openood/recorders/kdad_recorder.py | import os
import time
from pathlib import Path
import torch
class KdadRecorder:
def __init__(self, config) -> None:
self.config = config
self.output_dir = config.output_dir
self.best_roc_auc = 0.0
self.best_epoch_idx = 0
self.begin_time = time.time()
def report(self, ... | 2,285 | 38.413793 | 78 | py |
null | OpenOOD-main/openood/recorders/opengan_recorder.py | import copy
import os
import time
import torch
from .base_recorder import BaseRecorder
class OpenGanRecorder(BaseRecorder):
def __init__(self, config) -> None:
super().__init__(config)
self.save_dir = self.config.output_dir
self.best_val_auroc = 0
self.best_epoch_idx = 0
def... | 2,222 | 36.05 | 79 | py |
null | OpenOOD-main/openood/recorders/rd4ad_recorder.py | import os
import time
from pathlib import Path
import torch
from .base_recorder import BaseRecorder
class Rd4adRecorder(BaseRecorder):
def __init__(self, config) -> None:
super(Rd4adRecorder, self).__init__(config)
self.best_epoch_idx = 0
self.best_result = 0
self.begin_time = ... | 2,961 | 40.138889 | 76 | py |
null | OpenOOD-main/openood/recorders/utils.py | from openood.utils import Config
from .ad_recorder import ADRecorder
from .arpl_recorder import ARPLRecorder
from .base_recorder import BaseRecorder
from .cider_recorder import CiderRecorder
from .cutpaste_recorder import CutpasteRecorder
from .draem_recorder import DRAEMRecorder
from .dsvdd_recorder import DCAERecord... | 926 | 28.903226 | 55 | py |
null | OpenOOD-main/openood/trainers/__init__.py | from .utils import get_trainer
| 31 | 15 | 30 | py |
null | OpenOOD-main/openood/trainers/arpl_gan_trainer.py | import torch
import torch.nn as nn
from torch.autograd import Variable
from torch.utils.data import DataLoader
from tqdm import tqdm
from openood.utils import Config
from .lr_scheduler import cosine_annealing
class ARPLGANTrainer:
def __init__(self, net: dict, train_loader: DataLoader,
config: ... | 5,926 | 34.921212 | 77 | py |
null | OpenOOD-main/openood/trainers/arpl_trainer.py | import torch
import torch.nn as nn
from torch.utils.data import DataLoader
from tqdm import tqdm
import openood.utils.comm as comm
from openood.utils import Config
from .lr_scheduler import cosine_annealing
class ARPLTrainer:
def __init__(self, net: nn.Module, train_loader: DataLoader,
config: ... | 2,400 | 29.0125 | 71 | py |
null | OpenOOD-main/openood/trainers/augmix_trainer.py | import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.utils.data import DataLoader
from tqdm import tqdm
import openood.utils.comm as comm
from openood.utils import Config
from .lr_scheduler import cosine_annealing
class AugMixTrainer:
def __init__(self, net: nn.Module... | 3,803 | 32.663717 | 79 | py |
null | OpenOOD-main/openood/trainers/base_trainer.py | import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.utils.data import DataLoader
from tqdm import tqdm
import openood.utils.comm as comm
from openood.utils import Config
from .lr_scheduler import cosine_annealing
class BaseTrainer:
def __init__(self, net: nn.Module, ... | 2,446 | 28.481928 | 71 | py |
null | OpenOOD-main/openood/trainers/cider_trainer.py | import math
import time
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.utils.data import DataLoader
from tqdm import tqdm
import openood.utils.comm as comm
from openood.utils import Config
class CIDERTrainer:
def __init__(self, net: nn.Module, train_loader: DataL... | 9,625 | 36.166023 | 78 | py |
null | OpenOOD-main/openood/trainers/conf_branch_trainer.py | import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.autograd import Variable
from tqdm import tqdm
import openood.utils.comm as comm
from openood.utils import Config
from .lr_scheduler import cosine_annealing
class ConfBranchTrainer:
def __init__(self, net, train_loader, config: Config)... | 4,375 | 37.052174 | 77 | py |
null | OpenOOD-main/openood/trainers/csi_trainer.py | import math
import numbers
import diffdist.functional as distops
import numpy as np
import torch
import torch.distributed as dist
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
import torch.optim.lr_scheduler as lr_scheduler
from torch.autograd import Function
from torch.optim.lr_sch... | 32,183 | 34.250821 | 79 | py |
null | OpenOOD-main/openood/trainers/cutmix_trainer.py | import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.utils.data import DataLoader
from tqdm import tqdm
import openood.utils.comm as comm
from openood.utils import Config
from .lr_scheduler import cosine_annealing
class CutMixTrainer:
def __init__(self, net: nn.Module... | 3,800 | 32.052174 | 77 | py |
null | OpenOOD-main/openood/trainers/cutpaste_trainer.py | import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.utils.data import DataLoader
from tqdm import tqdm
from openood.utils import Config
from .lr_scheduler import cosine_annealing
class CutPasteTrainer:
def __init__(self, net: nn.Module, train_loader: DataLoader,
config... | 2,379 | 28.382716 | 71 | py |
null | OpenOOD-main/openood/trainers/draem_trainer.py | import torch
from torch import optim
from torch.utils.data import DataLoader
from tqdm import tqdm
from openood.losses.draem_loss import get_draem_losses
from openood.utils import Config
def weights_init(m):
classname = m.__class__.__name__
if classname.find('Conv') != -1:
m.weight.data.normal_(0.0, ... | 3,302 | 33.051546 | 78 | py |
null | OpenOOD-main/openood/trainers/dropout_trainer.py | import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.utils.data import DataLoader
from tqdm import tqdm
from openood.utils import Config
from .lr_scheduler import cosine_annealing
class DropoutTrainer:
def __init__(self, net: nn.Module, train_loader: DataLoader,
config:... | 2,172 | 28.767123 | 75 | py |
null | OpenOOD-main/openood/trainers/dsvdd_trainer.py | import numpy as np
import torch
import torch.optim as optim
from tqdm import tqdm
from openood.utils import Config
class AETrainer:
def __init__(self, net, train_loader, config: Config):
self.config = config
self.net = net
self.train_loader = train_loader
if config.optimizer.name ... | 4,963 | 35.233577 | 79 | py |
null | OpenOOD-main/openood/trainers/godin_trainer.py | import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.utils.data import DataLoader
from tqdm import tqdm
import openood.utils.comm as comm
from openood.utils import Config
from .lr_scheduler import cosine_annealing
class GodinTrainer:
def __init__(self, net: nn.Module, train_loader: Data... | 3,228 | 29.17757 | 71 | py |
null | OpenOOD-main/openood/trainers/kdad_trainer.py | import torch
from torch.autograd import Variable
from tqdm import tqdm
from openood.losses.kdad_losses import DirectionOnlyLoss, MseDirectionLoss
from openood.utils import Config
class KdadTrainer:
def __init__(self, net, train_loader, config: Config):
self.vgg = net['vgg']
self.model = net['mode... | 2,103 | 30.878788 | 76 | py |
null | OpenOOD-main/openood/trainers/logitnorm_trainer.py | import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.utils.data import DataLoader
from tqdm import tqdm
import openood.utils.comm as comm
from openood.utils import Config
from .lr_scheduler import cosine_annealing
class LogitNormTrainer:
def __init__(self, net: nn.Mod... | 2,862 | 28.822917 | 73 | py |
null | OpenOOD-main/openood/trainers/lr_scheduler.py | import numpy as np
def cosine_annealing(step, total_steps, lr_max, lr_min):
return lr_min + (lr_max - lr_min) * 0.5 * \
(1 + np.cos(step / total_steps * np.pi))
| 183 | 25.285714 | 56 | py |
null | OpenOOD-main/openood/trainers/mcd_trainer.py | import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.utils.data import DataLoader
from tqdm import tqdm
import openood.utils.comm as comm
from openood.utils import Config
from .base_trainer import BaseTrainer
class MCDTrainer(BaseTrainer):
def __init__(
self,
net: nn.Mod... | 3,326 | 33.65625 | 77 | py |
null | OpenOOD-main/openood/trainers/mixoe_trainer.py | import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.utils.data import DataLoader
from tqdm import tqdm
import openood.utils.comm as comm
from openood.utils import Config
from .base_trainer import BaseTrainer
class MixOETrainer(BaseTrainer):
def __init__(
sel... | 5,219 | 32.677419 | 93 | py |
null | OpenOOD-main/openood/trainers/mixup_trainer.py | import numpy as np
import torch
import torch.nn as nn
from torch.utils.data import DataLoader
from tqdm import tqdm
import openood.utils.comm as comm
from openood.losses import soft_cross_entropy
from openood.utils import Config
from .lr_scheduler import cosine_annealing
def prepare_mixup(batch, alpha=1.0, use_cuda... | 2,922 | 28.525253 | 75 | py |
null | OpenOOD-main/openood/trainers/mos_trainer.py | from copy import deepcopy
import numpy as np
import torch
import torch.nn as nn
from torch.utils.data import DataLoader
from tqdm import tqdm
import openood.utils.comm as comm
from openood.utils import Config
def get_mixup(dataset_size):
return 0.0 if dataset_size < 20_000 else 0.1
def get_group_slices(classe... | 11,494 | 33.623494 | 94 | py |
null | OpenOOD-main/openood/trainers/npos_trainer.py | import faiss.contrib.torch_utils
import math
import time
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.distributions import MultivariateNormal
from torch.utils.data import DataLoader
from tqdm import tqdm
import openood.utils.comm as comm
from openood.utils import Con... | 17,725 | 38.391111 | 79 | py |
null | OpenOOD-main/openood/trainers/oe_trainer.py | import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.utils.data import DataLoader
from tqdm import tqdm
import openood.utils.comm as comm
from openood.utils import Config
from .base_trainer import BaseTrainer
class OETrainer(BaseTrainer):
def __init__(
self,
net: nn.Modu... | 2,477 | 31.605263 | 78 | py |
null | OpenOOD-main/openood/trainers/opengan_trainer.py | import random
import torch
import torch.nn as nn
import torch.optim as optim
from tqdm import tqdm
import openood.utils.comm as comm
def weights_init(m):
classname = m.__class__.__name__
if classname.find('Conv') != -1:
nn.init.normal_(m.weight.data, 0.0, 0.02)
elif classname.find('BatchNorm') !... | 4,636 | 34.128788 | 75 | py |
null | OpenOOD-main/openood/trainers/rd4ad_trainer.py | import torch
from torchvision.datasets import ImageFolder
import numpy as np
import random
import os
from torch.utils.data import DataLoader
import torch.backends.cudnn as cudnn
import argparse
from torch.nn import functional as F
from tqdm import tqdm
from openood.utils import Config
from openood.losses.rd4ad_loss im... | 1,938 | 34.907407 | 157 | py |
null | OpenOOD-main/openood/trainers/regmixup_trainer.py | import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.utils.data import DataLoader
from tqdm import tqdm
import openood.utils.comm as comm
from openood.utils import Config
from .lr_scheduler import cosine_annealing
# https://github.com/FrancescoPinto/RegMixup/blob/main/mode... | 3,137 | 30.069307 | 75 | py |
null | OpenOOD-main/openood/trainers/rotpred_trainer.py | import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.utils.data import DataLoader
from tqdm import tqdm
import openood.utils.comm as comm
from openood.utils import Config
from .lr_scheduler import cosine_annealing
class RotPredTrainer:
def __init__(self, net: nn.Modul... | 3,049 | 30.122449 | 72 | py |
null | OpenOOD-main/openood/trainers/rts_trainer.py | import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.utils.data import DataLoader
from tqdm import tqdm
from openood.utils import Config
from .lr_scheduler import cosine_annealing
class RTSTrainer:
def __init__(self, net: nn.Module, train_loader: DataLoader,
config: Co... | 2,575 | 31.2 | 118 | py |
null | OpenOOD-main/openood/trainers/sae_trainer.py | import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from sklearn.mixture import GaussianMixture
from torch.utils.data import DataLoader
from tqdm import tqdm
from openood.losses import soft_cross_entropy
from openood.postprocessors.gmm_postprocessor import compute_single_GMM_score
fro... | 5,853 | 39.09589 | 79 | py |
null | OpenOOD-main/openood/trainers/udg_trainer.py | import time
import faiss
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.utils.data import DataLoader
from tqdm import tqdm
import openood.utils.comm as comm
from openood.utils import Config
from ..losses import rew_ce, rew_sce
from .base_trainer import BaseTrainer
... | 15,462 | 39.373368 | 79 | py |
null | OpenOOD-main/openood/trainers/utils.py | from torch.utils.data import DataLoader
from openood.utils import Config
from .arpl_gan_trainer import ARPLGANTrainer
from .arpl_trainer import ARPLTrainer
from .augmix_trainer import AugMixTrainer
from .base_trainer import BaseTrainer
from .cider_trainer import CIDERTrainer
from .conf_branch_trainer import ConfBranc... | 2,980 | 34.915663 | 79 | py |
null | OpenOOD-main/openood/trainers/vos_trainer.py | import numpy as np
import torch
import torch.nn.functional as F
from torch.distributions.multivariate_normal import MultivariateNormal
from tqdm import tqdm
import openood.utils.comm as comm
from openood.utils import Config
def cosine_annealing(step, total_steps, lr_max, lr_min):
return lr_min + (lr_max -
... | 8,367 | 42.134021 | 79 | py |
null | OpenOOD-main/openood/utils/__init__.py | from .config import Config, setup_config
from .launch import launch
from .logger import setup_logger
| 101 | 24.5 | 40 | py |
null | OpenOOD-main/openood/utils/comm.py | # Copyright (c) Facebook, Inc. and its affiliates.
"""This file contains primitives for multi-gpu communication.
This is useful when doing distributed training.
"""
import functools
import numpy as np
import torch
import torch.distributed as dist
_LOCAL_PROCESS_GROUP = None
"""
A torch process group which only incl... | 5,612 | 27.065 | 78 | py |
null | OpenOOD-main/openood/utils/config.py | import argparse
import os
import re
import yaml
def setup_config(config_process_order=('merge', 'parse_args', 'parse_refs')):
"""Parsing configuration files and command line augments.
This method reads the command line to
1. extract and stack YAML config files,
2. collect modification in com... | 12,782 | 34.706704 | 79 | py |
null | OpenOOD-main/openood/utils/launch.py | # Copyright (c) Facebook, Inc. and its affiliates.
import logging
from datetime import timedelta
import torch
import torch.distributed as dist
import torch.multiprocessing as mp
from openood.utils import comm
__all__ = ['DEFAULT_TIMEOUT', 'launch']
DEFAULT_TIMEOUT = timedelta(minutes=30)
def _find_free_port():
... | 4,142 | 30.150376 | 79 | py |
null | OpenOOD-main/openood/utils/logger.py | import errno
import os
import os.path as osp
import sys
import yaml
import openood.utils.comm as comm
def mkdir_if_missing(dirname):
"""Create dirname if it is missing."""
if not osp.exists(dirname):
try:
os.makedirs(dirname)
except OSError as e:
if e.errno != errno.E... | 3,614 | 27.690476 | 79 | py |
null | OpenOOD-main/scripts/eval_ood.py | import os, sys
ROOT_DIR = os.path.join(os.path.dirname(os.path.abspath(__file__)), '..')
sys.path.append(ROOT_DIR)
import numpy as np
import pandas as pd
import argparse
import pickle
import collections
from glob import glob
import torch
import torch.nn as nn
import torch.nn.functional as F
from openood.evaluation_ap... | 7,384 | 35.559406 | 93 | py |
null | OpenOOD-main/scripts/eval_ood_imagenet.py | import collections
import os, sys
ROOT_DIR = os.path.join(os.path.dirname(os.path.abspath(__file__)), '..')
sys.path.append(ROOT_DIR)
import numpy as np
import pandas as pd
import argparse
import pickle
import torch
import torch.nn as nn
import torch.nn.functional as F
from torchvision.models import ResNet50_Weights,... | 6,599 | 34.869565 | 89 | py |
null | OpenOOD-main/scripts/ad/cutpaste/bottle_test_cutpaste.sh | #!/bin/bash
# sh scripts/a_anomaly/2_cutpaste_test.sh
GPU=1
CPU=1
node=68
jobname=openood
PYTHONPATH='.':$PYTHONPATH \
#srun -p dsta --mpi=pmi2 --gres=gpu:${GPU} -n1 \
#--cpus-per-task=${CPU} --ntasks-per-node=${GPU} \
#--kill-on-bad-exit=1 --job-name=${jobname} -w SG-IDC1-10-51-2-${node} \
python main.py \
--config ... | 655 | 30.238095 | 115 | sh |
null | OpenOOD-main/scripts/ad/cutpaste/cifar100_test_ood_cutpaste.sh | #!/bin/bash
# sh scripts/ad/cutpaste/cifar100_test_ood_cutpaste.sh
GPU=1
CPU=1
jobname=openood
PYTHONPATH='.':$PYTHONPATH \
srun -p dsta --mpi=pmi2 --gres=gpu:${GPU} -n1 \
--cpus-per-task=${CPU} --ntasks-per-node=${GPU} \
--kill-on-bad-exit=1 --job-name=${jobname} \
python main.py \
--config configs/datasets/cifar100... | 716 | 30.173913 | 84 | sh |
null | OpenOOD-main/scripts/ad/cutpaste/cifar100_train_cutpaste.sh | #!/bin/bash
# sh scripts/ad/cutpaste/cifar100_train_cutpaste.sh
GPU=1
CPU=1
node=68
jobname=openood
PYTHONPATH='.':$PYTHONPATH \
srun -p dsta --mpi=pmi2 --gres=gpu:${GPU} -n1 \
--cpus-per-task=${CPU} --ntasks-per-node=${GPU} \
--kill-on-bad-exit=1 --job-name=${jobname} \
python main.py \
--config configs/datasets/cif... | 809 | 29 | 82 | sh |
null | OpenOOD-main/scripts/ad/cutpaste/cifar10_test_ood_cutpaste.sh | #!/bin/bash
# sh scripts/ad/cutpaste/cifar10_test_ood_cutpaste.sh
# GPU=1
# CPU=1
# node=68
# jobname=openood
PYTHONPATH='.':$PYTHONPATH \
#srun -p dsta --mpi=pmi2 --gres=gpu:${GPU} -n1 \
#--cpus-per-task=${CPU} --ntasks-per-node=${GPU} \
#--kill-on-bad-exit=1 --job-name=${jobname} -w SG-IDC1-10-51-2-${node} \
pytho... | 746 | 30.125 | 100 | sh |
null | OpenOOD-main/scripts/ad/cutpaste/cifar10_train_cutpaste.sh | #!/bin/bash
# sh scripts/ad/cutpaste/cifar10_train_cutpaste.sh
GPU=1
CPU=1
jobname=openood
PYTHONPATH='.':$PYTHONPATH \
srun -p dsta --mpi=pmi2 --gres=gpu:${GPU} -n1 \
--cpus-per-task=${CPU} --ntasks-per-node=${GPU} \
--kill-on-bad-exit=1 --job-name=${jobname} \
python main.py \
--config configs/datasets/cifar10/cifa... | 795 | 29.615385 | 81 | sh |
null | OpenOOD-main/scripts/ad/cutpaste/mnist_test_osr_cutpaste.sh | #!/bin/bash
# sh scripts/ad/cutpaste/mnist_test_osr_cutpaste.sh
# GPU=1
# CPU=1
# node=68
# jobname=openood
PYTHONPATH='.':$PYTHONPATH \
#srun -p dsta --mpi=pmi2 --gres=gpu:${GPU} -n1 \
#--cpus-per-task=${CPU} --ntasks-per-node=${GPU} \
#--kill-on-bad-exit=1 --job-name=${jobname} -w SG-IDC1-10-51-2-${node} \
python ... | 804 | 29.961538 | 94 | sh |
null | OpenOOD-main/scripts/ad/cutpaste/mnist_train_cutpaste.sh | #!/bin/bash
# sh scripts/ad/cutpaste/mnist_train_cutpaste.sh
GPU=1
CPU=1
jobname=openood
PYTHONPATH='.':$PYTHONPATH \
srun -p dsta --mpi=pmi2 --gres=gpu:${GPU} -n1 \
--cpus-per-task=${CPU} --ntasks-per-node=${GPU} \
--kill-on-bad-exit=1 --job-name=${jobname} \
python main.py \
--config configs/datasets/mnist/mnist.ym... | 774 | 28.807692 | 79 | sh |
null | OpenOOD-main/scripts/ad/cutpaste/mnist_train_osr_cutpaste.sh | #!/bin/bash
# sh scripts/ad/cutpaste/mnist_train_osr_cutpaste.sh
GPU=1
CPU=1
node=68
jobname=openood
PYTHONPATH='.':$PYTHONPATH \
# srun -p dsta --mpi=pmi2 --gres=gpu:${GPU} -n1 \
# --cpus-per-task=${CPU} --ntasks-per-node=${GPU} \
# --kill-on-bad-exit=1 --job-name=${jobname} -w SG-IDC1-10-51-2-${node} \
python main.... | 816 | 30.423077 | 75 | sh |
null | OpenOOD-main/scripts/ad/cutpaste/osr_cifar50_train_cutpaste.sh | #!/bin/bash
# sh scripts/ad/cutpaste/cifar50_train_cutpaste.sh
GPU=1
CPU=1
node=68
jobname=openood
PYTHONPATH='.':$PYTHONPATH \
srun -p dsta --mpi=pmi2 --gres=gpu:${GPU} -n1 \
--cpus-per-task=${CPU} --ntasks-per-node=${GPU} \
--kill-on-bad-exit=1 --job-name=${jobname} \
python main.py \
--config configs/datasets/osr_... | 827 | 29.666667 | 85 | sh |
null | OpenOOD-main/scripts/ad/cutpaste/osr_cifar6_train_cutpaste.sh | #!/bin/bash
# sh scripts/ad/cutpaste/cifar6_train_cutpaste.sh
GPU=1
CPU=1
node=68
jobname=openood
PYTHONPATH='.':$PYTHONPATH \
srun -p dsta --mpi=pmi2 --gres=gpu:${GPU} -n1 \
--cpus-per-task=${CPU} --ntasks-per-node=${GPU} \
--kill-on-bad-exit=1 --job-name=${jobname} \
python main.py \
--config configs/datasets/osr_c... | 821 | 29.444444 | 84 | sh |
null | OpenOOD-main/scripts/ad/cutpaste/osr_test_ood_cutpaste.sh | #!/bin/bash
# sh scripts/ad/cutpaste/osr_test_ood_cutpaste.sh
GPU=1
CPU=1
jobname=openood
PYTHONPATH='.':$PYTHONPATH \
srun -p dsta --mpi=pmi2 --gres=gpu:${GPU} -n1 \
--cpus-per-task=${CPU} --ntasks-per-node=${GPU} \
--kill-on-bad-exit=1 --job-name=${jobname} \
python main.py \
--config configs/datasets/mnist/mnist.y... | 687 | 28.913043 | 81 | sh |
null | OpenOOD-main/scripts/ad/cutpaste/osr_tin20_train_cutpaste.sh | #!/bin/bash
# sh scripts/ad/cutpaste/tin20_train_cutpaste.sh
GPU=1
CPU=1
node=68
jobname=openood
PYTHONPATH='.':$PYTHONPATH \
srun -p dsta --mpi=pmi2 --gres=gpu:${GPU} -n1 \
--cpus-per-task=${CPU} --ntasks-per-node=${GPU} \
--kill-on-bad-exit=1 --job-name=${jobname} \
python main.py \
--config configs/datasets/osr_ti... | 815 | 29.222222 | 83 | sh |
null | OpenOOD-main/scripts/ad/draem/bottle_test_draem.sh | #!/bin/bash
# sh scripts/ad/draem/bottle_test_draem.sh
# GPU=1
# CPU=1
# node=30
# jobname=openood
PYTHONPATH='.':$PYTHONPATH \
#srun -p dsta --mpi=pmi2 --gres=gpu:${GPU} -n1 \
#--cpus-per-task=${CPU} --ntasks-per-node=${GPU} \
#--kill-on-bad-exit=1 --job-name=${jobname} -w SG-IDC1-10-51-2-${node} \
python main.py \
... | 535 | 25.8 | 72 | sh |
null | OpenOOD-main/scripts/ad/draem/bottle_train_draem.sh | #!/bin/bash
# sh scripts/ad/draem/bottle_train_draem.sh
# GPU=1
# CPU=1
# node=30
# jobname=openood
PYTHONPATH='.':$PYTHONPATH \
#srun -p dsta --mpi=pmi2 --gres=gpu:${GPU} -n1 \
#--cpus-per-task=${CPU} --ntasks-per-node=${GPU} \
#--kill-on-bad-exit=1 --job-name=${jobname} -w SG-IDC1-10-51-2-${node} \
python main.py \... | 564 | 25.904762 | 72 | sh |
null | OpenOOD-main/scripts/ad/draem/cifar100_test_ood_draem.sh | #!/bin/bash
# sh scripts/ad/draem/cifar100_test_ood_draem.sh
# GPU=1
# CPU=1
# node=30
# jobname=openood
PYTHONPATH='.':$PYTHONPATH \
#srun -p dsta --mpi=pmi2 --gres=gpu:${GPU} -n1 \
#--cpus-per-task=${CPU} --ntasks-per-node=${GPU} \
#--kill-on-bad-exit=1 --job-name=${jobname} -w SG-IDC1-10-51-2-${node} \
python main... | 601 | 26.363636 | 72 | sh |
null | OpenOOD-main/scripts/ad/draem/cifar100_train_draem.sh | #!/bin/bash
# sh scripts/ad/draem/cifar100_train_draem.sh
# GPU=1
# CPU=1
# node=30
# jobname=openood
PYTHONPATH='.':$PYTHONPATH \
#srun -p dsta --mpi=pmi2 --gres=gpu:${GPU} -n1 \
#--cpus-per-task=${CPU} --ntasks-per-node=${GPU} \
#--kill-on-bad-exit=1 --job-name=${jobname} -w SG-IDC1-10-51-2-${node} \
python main.py... | 694 | 26.8 | 72 | sh |
null | OpenOOD-main/scripts/ad/draem/cifar10_test_ood_draem.sh | #!/bin/bash
# sh scripts/ad/draem/cifar10_test_ood_draem.sh
# GPU=1
# CPU=1
# node=30
# jobname=openood
PYTHONPATH='.':$PYTHONPATH \
#srun -p dsta --mpi=pmi2 --gres=gpu:${GPU} -n1 \
#--cpus-per-task=${CPU} --ntasks-per-node=${GPU} \
#--kill-on-bad-exit=1 --job-name=${jobname} -w SG-IDC1-10-51-2-${node} \
python main.... | 593 | 27.285714 | 72 | sh |
null | OpenOOD-main/scripts/ad/draem/cifar10_train_draem.sh | #!/bin/bash
# sh scripts/ad/draem/cifar10_train_draem.sh
# GPU=1
# CPU=1
# node=30
# jobname=openood
PYTHONPATH='.':$PYTHONPATH \
#srun -p dsta --mpi=pmi2 --gres=gpu:${GPU} -n1 \
#--cpus-per-task=${CPU} --ntasks-per-node=${GPU} \
#--kill-on-bad-exit=1 --job-name=${jobname} -w SG-IDC1-10-51-2-${node} \
python main.py ... | 663 | 26.666667 | 72 | sh |
null | OpenOOD-main/scripts/ad/draem/mnist_test_osr_draem.sh | #!/bin/bash
# sh scripts/ad/draem/mnist_test_osr_draem.sh
# GPU=1
# CPU=1
# node=30
# jobname=openood
PYTHONPATH='.':$PYTHONPATH \
#srun -p dsta --mpi=pmi2 --gres=gpu:${GPU} -n1 \
#--cpus-per-task=${CPU} --ntasks-per-node=${GPU} \
#--kill-on-bad-exit=1 --job-name=${jobname} -w SG-IDC1-10-51-2-${node} \
python main.py... | 630 | 27.681818 | 72 | sh |
null | OpenOOD-main/scripts/ad/draem/mnist_train_draem.sh | #!/bin/bash
# sh scripts/ad/draem/mnist_train_draem.sh
GPU=1
CPU=1
node=30
jobname=openood
PYTHONPATH='.':$PYTHONPATH \
srun -p dsta --mpi=pmi2 --gres=gpu:${GPU} -n1 \
--cpus-per-task=${CPU} --ntasks-per-node=${GPU} \
--kill-on-bad-exit=1 --job-name=${jobname} \
python main.py \
--config configs/datasets/osr_cifar6/c... | 641 | 25.75 | 55 | sh |
null | OpenOOD-main/scripts/ad/draem/mnist_train_osr_draem.sh | #!/bin/bash
# sh scripts/ad/draem/mnist_train_osr_draem.sh
# GPU=1
# CPU=1
# node=30
# jobname=openood
PYTHONPATH='.':$PYTHONPATH \
#srun -p dsta --mpi=pmi2 --gres=gpu:${GPU} -n1 \
#--cpus-per-task=${CPU} --ntasks-per-node=${GPU} \
#--kill-on-bad-exit=1 --job-name=${jobname} -w SG-IDC1-10-51-2-${node} \
python main.... | 708 | 26.269231 | 72 | sh |
null | OpenOOD-main/scripts/ad/draem/osr_cifar50_train_draem.sh | #!/bin/bash
# sh scripts/ad/draem/osr_cifar50_train_draem.sh
GPU=1
CPU=1
node=30
jobname=openood
PYTHONPATH='.':$PYTHONPATH \
srun -p dsta --mpi=pmi2 --gres=gpu:${GPU} -n1 \
--cpus-per-task=${CPU} --ntasks-per-node=${GPU} \
--kill-on-bad-exit=1 --job-name=${jobname} \
python main.py \
--config configs/datasets/osr_ti... | 643 | 25.833333 | 53 | sh |
null | OpenOOD-main/scripts/ad/draem/osr_cifar6_train_draem.sh | #!/bin/bash
# sh scripts/ad/draem/osr_cifar6_train_draem.sh
GPU=1
CPU=1
node=30
jobname=openood
PYTHONPATH='.':$PYTHONPATH \
srun -p dsta --mpi=pmi2 --gres=gpu:${GPU} -n1 \
--cpus-per-task=${CPU} --ntasks-per-node=${GPU} \
--kill-on-bad-exit=1 --job-name=${jobname} \
python main.py \
--config configs/datasets/osr_cif... | 646 | 25.958333 | 55 | sh |
null | OpenOOD-main/scripts/ad/draem/osr_tin20_train_draem.sh | #!/bin/bash
# sh scripts/ad/draem/osr_tin20_train_draem.sh
GPU=1
CPU=1
node=30
jobname=openood
PYTHONPATH='.':$PYTHONPATH \
srun -p dsta --mpi=pmi2 --gres=gpu:${GPU} -n1 \
--cpus-per-task=${CPU} --ntasks-per-node=${GPU} \
--kill-on-bad-exit=1 --job-name=${jobname} \
python main.py \
--config configs/datasets/osr_cifa... | 649 | 26.083333 | 57 | sh |
null | OpenOOD-main/scripts/ad/dsvdd/0_dcae_pretrain.sh | #!/bin/bash
# sh scripts/ad/dsvdd/0_dcae_pretrain.sh
PYTHONPATH='.':$PYTHONPATH \
#srun -p dsta --mpi=pmi2 --gres=gpu:${GPU} -n1 \
#--cpus-per-task=${CPU} --ntasks-per-node=${GPU} \
#--kill-on-bad-exit=1 --job-name=${jobname} -w SG-IDC1-10-51-2-${node} \
python main.py \
--config configs/datasets/objects/cifar10.ym... | 662 | 26.625 | 72 | sh |
null | OpenOOD-main/scripts/ad/dsvdd/0_dsvdd_test.sh | #!/bin/bash
# sh scripts/a_anomaly/0_dsvdd_test.sh
PYTHONPATH='.':$PYTHONPATH \
#srun -p dsta --mpi=pmi2 --gres=gpu:${GPU} -n1 \
#--cpus-per-task=${CPU} --ntasks-per-node=${GPU} \
#--kill-on-bad-exit=1 --job-name=${jobname} -w SG-IDC1-10-51-2-${node} \
python main.py \
--config configs/datasets/objects/cifar10.yml \
... | 736 | 34.095238 | 109 | sh |
null | OpenOOD-main/scripts/ad/dsvdd/0_dsvdd_train_dcae.sh | #!/bin/bash
# sh scripts/a_anomaly/0_dsvdd_train_dcae.sh
PYTHONPATH='.':$PYTHONPATH \
#srun -p dsta --mpi=pmi2 --gres=gpu:${GPU} -n1 \
#--cpus-per-task=${CPU} --ntasks-per-node=${GPU} \
#--kill-on-bad-exit=1 --job-name=${jobname} -w SG-IDC1-10-51-2-${node} \
python main.py \
--config configs/datasets/objects/cifar10... | 737 | 29.75 | 72 | sh |
null | OpenOOD-main/scripts/ad/dsvdd/cifar100_test_ood_dsvdd.sh | #!/bin/bash
# sh scripts/ad/dsvdd/cifar100_test_ood_dsvdd.sh
PYTHONPATH='.':$PYTHONPATH \
#srun -p dsta --mpi=pmi2 --gres=gpu:${GPU} -n1 \
#--cpus-per-task=${CPU} --ntasks-per-node=${GPU} \
#--kill-on-bad-exit=1 --job-name=${jobname} -w SG-IDC1-10-51-2-${node} \
python main.py \
--config configs/datasets/cifar100/ci... | 641 | 32.789474 | 75 | sh |
null | OpenOOD-main/scripts/ad/dsvdd/cifar100_train_dsvdd.sh | #!/bin/bash
# sh scripts/ad/dsvdd/cifar100_train_dsvdd.sh
PYTHONPATH='.':$PYTHONPATH \
#srun -p dsta --mpi=pmi2 --gres=gpu:${GPU} -n1 \
#--cpus-per-task=${CPU} --ntasks-per-node=${GPU} \
#--kill-on-bad-exit=1 --job-name=${jobname} -w SG-IDC1-10-51-2-${node} \
python main.py \
--config configs/datasets/cifar100/cifar... | 674 | 32.75 | 80 | sh |
null | OpenOOD-main/scripts/ad/dsvdd/cifar10_test_ood_dsvdd.sh | #!/bin/bash
# sh scripts/ad/dsvdd/cifar10_test_ood_dsvdd.sh
PYTHONPATH='.':$PYTHONPATH \
#srun -p dsta --mpi=pmi2 --gres=gpu:${GPU} -n1 \
#--cpus-per-task=${CPU} --ntasks-per-node=${GPU} \
#--kill-on-bad-exit=1 --job-name=${jobname} -w SG-IDC1-10-51-2-${node} \
python main.py \
--config configs/datasets/cifar10/cifa... | 633 | 32.368421 | 72 | sh |
null | OpenOOD-main/scripts/ad/dsvdd/cifar10_train_dsvdd.sh | #!/bin/bash
# sh scripts/ad/dsvdd/cifar10_train_dsvdd.sh
PYTHONPATH='.':$PYTHONPATH \
srun -p dsta --mpi=pmi2 --gres=gpu:${GPU} -n1 \
--cpus-per-task=${CPU} --ntasks-per-node=${GPU} \
--kill-on-bad-exit=1 --job-name=${jobname} \
-w SG-IDC1-10-51-2-${node} \
python main.py \
--config configs/datasets/cifar10/cifar10.y... | 657 | 31.9 | 70 | sh |
null | OpenOOD-main/scripts/ad/dsvdd/mnist_test_osr_dsvdd.sh | #!/bin/bash
# sh scripts/ad/dsvdd/mnist_test_osr_dsvdd.sh
PYTHONPATH='.':$PYTHONPATH \
#srun -p dsta --mpi=pmi2 --gres=gpu:${GPU} -n1 \
#--cpus-per-task=${CPU} --ntasks-per-node=${GPU} \
#--kill-on-bad-exit=1 --job-name=${jobname} -w SG-IDC1-10-51-2-${node} \
python main.py \
--config configs/datasets/osr_mnist6/mni... | 663 | 32.2 | 76 | sh |
null | OpenOOD-main/scripts/ad/dsvdd/mnist_train_osr_dsvdd.sh | #!/bin/bash
# sh scripts/ad/dsvdd/mnist_train_osr_dsvdd.sh
PYTHONPATH='.':$PYTHONPATH \
#srun -p dsta --mpi=pmi2 --gres=gpu:${GPU} -n1 \
#--cpus-per-task=${CPU} --ntasks-per-node=${GPU} \
#--kill-on-bad-exit=1 --job-name=${jobname} -w SG-IDC1-10-51-2-${node} \
python main.py \
--config configs/datasets/osr_mnist6/mn... | 658 | 31.95 | 72 | sh |
null | OpenOOD-main/scripts/ad/dsvdd/osr_cifar50_train_dsvdd.sh | #!/bin/bash
# sh scripts/ad/dsvdd/osr_cifar50_train_dsvdd.sh
GPU=1
CPU=1
node=30
jobname=openood
PYTHONPATH='.':$PYTHONPATH \
srun -p dsta --mpi=pmi2 --gres=gpu:${GPU} -n1 \
--cpus-per-task=${CPU} --ntasks-per-node=${GPU} \
--kill-on-bad-exit=1 --job-name=${jobname} \
python main.py \
--config configs/datasets/osr_ci... | 694 | 29.217391 | 76 | sh |
null | OpenOOD-main/scripts/ad/dsvdd/osr_cifar6_train_dsvdd.sh | #!/bin/bash
# sh scripts/ad/dsvdd/osr_cifar6_train_dsvdd.sh
GPU=1
CPU=1
node=30
jobname=openood
PYTHONPATH='.':$PYTHONPATH \
srun -p dsta --mpi=pmi2 --gres=gpu:${GPU} -n1 \
--cpus-per-task=${CPU} --ntasks-per-node=${GPU} \
--kill-on-bad-exit=1 --job-name=${jobname} \
python main.py \
--config configs/datasets/osr_cif... | 688 | 28.956522 | 75 | sh |
null | OpenOOD-main/scripts/ad/dsvdd/osr_mnist6_train_dsvdd.sh | #!/bin/bash
# sh scripts/ad/dsvdd/osr_cifar6_train_dsvdd.sh
GPU=1
CPU=1
node=30
jobname=openood
PYTHONPATH='.':$PYTHONPATH \
srun -p dsta --mpi=pmi2 --gres=gpu:${GPU} -n1 \
--cpus-per-task=${CPU} --ntasks-per-node=${GPU} \
--kill-on-bad-exit=1 --job-name=${jobname} \
python main.py \
--config configs/datasets/osr_cif... | 688 | 28.956522 | 75 | sh |
null | OpenOOD-main/scripts/ad/dsvdd/osr_tin20_train_dsvdd.sh | #!/bin/bash
# sh scripts/ad/dsvdd/osr_tin20_train_dsvdd.sh
GPU=1
CPU=1
node=30
jobname=openood
PYTHONPATH='.':$PYTHONPATH \
srun -p dsta --mpi=pmi2 --gres=gpu:${GPU} -n1 \
--cpus-per-task=${CPU} --ntasks-per-node=${GPU} \
--kill-on-bad-exit=1 --job-name=${jobname} \
python main.py \
--config configs/datasets/osr_tin2... | 705 | 28.416667 | 74 | sh |
null | OpenOOD-main/scripts/ad/dsvdd/sweep_osr.py | # python scripts/uncertainty/temp_scaling/sweep_osr.py
import os
config = [
[
'osr_cifar6/cifar6_seed1.yml', 'osr_cifar6/cifar6_seed1_ood.yml',
'resnet18_32x32', 'results/checkpoints/osr/cifar6_seed1.ckpt'
],
[
'osr_cifar50/cifar50_seed1.yml', 'osr_cifar50/cifar50_seed1_ood.yml',
... | 1,588 | 32.808511 | 77 | py |
null | OpenOOD-main/scripts/ad/kdad/kdad_test.sh | #!/bin/bash
# sh scripts/a_anomaly/1_kdad_test_det.sh
PYTHONPATH='.':$PYTHONPATH \
#srun -p dsta --mpi=pmi2 --gres=gpu:${GPU} -n1 \
#--cpus-per-task=${CPU} --ntasks-per-node=${GPU} \
#--kill-on-bad-exit=1 --job-name=${jobname} -w SG-IDC1-10-51-2-${node} \
python main.py \
--config configs/datasets/KDAD/kdad_cifar10.y... | 485 | 31.4 | 72 | sh |
null | OpenOOD-main/scripts/ad/kdad/kdad_train.sh | #!/bin/bash
# sh scripts/a_anomaly/1_kdad_train.sh
PYTHONPATH='.':$PYTHONPATH \
#srun -p dsta --mpi=pmi2 --gres=gpu:${GPU} -n1 \
#--cpus-per-task=${CPU} --ntasks-per-node=${GPU} \
#--kill-on-bad-exit=1 --job-name=${jobname} -w SG-IDC1-10-51-2-${node} \
python main.py \
--config configs/datasets/KDAD/kdad_cifar10.yml ... | 484 | 31.333333 | 72 | sh |
null | OpenOOD-main/scripts/ad/patchcore/bottle_test_ood_patchcore.sh | #!/bin/bash
# sh scripts/ad/patchcore/patchcore.sh
# GPU=1
# CPU=1
# node=30
# jobname=openood
PYTHONPATH='.':$PYTHONPATH \
python main.py \
--config configs/datasets/mnist/mnist.yml \
configs/datasets/mnist/mnist_ood.yml \
configs/networks/patchcorenet.yml \
configs/pipelines/test/test_patchcore.yml \
configs/postp... | 449 | 20.428571 | 45 | sh |