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rzhangpku committed Jan 2, 2021
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4 changes: 2 additions & 2 deletions alreadrun/test_bert_mnli.py
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# Aurelien Coet, 2018.

from utils.runned.utils_test_three import validate
from a3v.model_transformer import ESIM
# from a3v.model_bert_transformer import ESIM
from vaa.model_transformer import ESIM
# from vaa.model_bert_transformer import ESIM
import os
import argparse
import json
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2 changes: 1 addition & 1 deletion alreadrun/test_bert_quora.py
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# Aurelien Coet, 2018.

from utils.runned.utils_test_two import validate
from a3v.model_transformer import ESIM
from vaa.model_transformer import ESIM
import os
import argparse
import json
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4 changes: 2 additions & 2 deletions alreadrun/test_bert_snli.py
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# Aurelien Coet, 2018.

from utils.runned.utils_test_three import validate
from a3v.model_transformer import ESIM
# from a3v.model_bert_transformer import ESIM
from vaa.model_transformer import ESIM
# from vaa.model_bert_transformer import ESIM
import os
import argparse
import json
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4 changes: 2 additions & 2 deletions alreadrun/test_cifar10.py
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import os
import torch
import torch.nn.functional as F
from a3v.droped.resnet import PreActResNet18
from a3v.droped.resnet_top import PreActResNet18Top
from vaa.droped.resnet import PreActResNet18
from vaa.droped.resnet_top import PreActResNet18Top
from torch.autograd import Variable
import sys
from utils.utils_base import creterion_cifar
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4 changes: 2 additions & 2 deletions alreadrun/test_esim_quora.py
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# Aurelien Coet, 2018.

from utils.runned.utils_test_esim_quora import validate
from a3v.model import ESIM
from a3v.data import NLIDataset
from vaa.model import ESIM
from vaa.data import NLIDataset
from torch.utils.data import DataLoader
import os
import argparse
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4 changes: 2 additions & 2 deletions alreadrun/test_esim_snli.py
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# Aurelien Coet, 2018.

from utils.runned.utils_test_esim_snli import validate
from a3v.model import ESIM
from a3v.data import NLIDataset
from vaa.model import ESIM
from vaa.data import NLIDataset
from torch.utils.data import DataLoader
import os
import argparse
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4 changes: 2 additions & 2 deletions alreadrun/top_cifar10.py
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import torchvision.transforms as transforms
import os
import torch
from a3v.droped.resnet import PreActResNet18
from a3v.droped.resnet_top import PreActResNet18Top
from vaa.droped.resnet import PreActResNet18
from vaa.droped.resnet_top import PreActResNet18Top
from torch.autograd import Variable
import sys

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2 changes: 1 addition & 1 deletion bert_mnli.py
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# Aurelien Coet, 2018.

from utils.utils_transformer import train, validate
from a3v.model_transformer import ESIM
from vaa.model_transformer import ESIM
import torch.nn as nn
import matplotlib.pyplot as plt
import os
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2 changes: 1 addition & 1 deletion bert_mnli_test.py
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# Aurelien Coet, 2018.

from utils.utils_transformer import test
from a3v.model_transformer import ESIM
from vaa.model_transformer import ESIM
import torch.nn as nn
import matplotlib.pyplot as plt
import os
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2 changes: 1 addition & 1 deletion bert_quora.py
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# Aurelien Coet, 2018.

from utils.utils_transformer import train, validate
from a3v.model_transformer import ESIM
from vaa.model_transformer import ESIM
import torch.nn as nn
import matplotlib.pyplot as plt
import os
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2 changes: 1 addition & 1 deletion bert_quora_loss.py
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# Aurelien Coet, 2018.

from utils.utils_transformer import train_loss
from a3v.model_transformer import ESIM
from vaa.model_transformer import ESIM
import torch.nn as nn
import matplotlib.pyplot as plt
import os
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2 changes: 1 addition & 1 deletion bert_snli.py
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# Aurelien Coet, 2018.

from utils.utils_transformer import train, validate
from a3v.model_transformer import ESIM
from vaa.model_transformer import ESIM
import torch.nn as nn
import matplotlib.pyplot as plt
import os
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4 changes: 2 additions & 2 deletions esim_mnli.py
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# Aurelien Coet, 2018.

from utils.utils_esim import train, validate
from a3v.model import ESIM
from a3v.data import NLIDataset
from vaa.model import ESIM
from vaa.data import NLIDataset
from torch.utils.data import DataLoader
import torch.nn as nn
import matplotlib.pyplot as plt
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4 changes: 2 additions & 2 deletions esim_mnli_test.py
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# Aurelien Coet, 2018.

from utils.utils_esim import test
from a3v.model import ESIM
from a3v.data import NLIDataset
from vaa.model import ESIM
from vaa.data import NLIDataset
from torch.utils.data import DataLoader
import torch.nn as nn
import matplotlib.pyplot as plt
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4 changes: 2 additions & 2 deletions esim_quora.py
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# Aurelien Coet, 2018.

from utils.utils_esim import train, validate
from a3v.model import ESIM
from a3v.data import NLIDataset
from vaa.model import ESIM
from vaa.data import NLIDataset
from torch.utils.data import DataLoader
import torch.nn as nn
import matplotlib.pyplot as plt
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4 changes: 2 additions & 2 deletions esim_snli.py
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# Aurelien Coet, 2018.

from utils.utils_esim import train, validate
from a3v.model import ESIM
from a3v.data import NLIDataset
from vaa.model import ESIM
from vaa.data import NLIDataset
from torch.utils.data import DataLoader
import torch.nn as nn
import matplotlib.pyplot as plt
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2 changes: 1 addition & 1 deletion scripts/droped/cifar10.py
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import torchvision.transforms as transforms
import os
import torch
from a3v.droped.resnet import PreActResNet18
from vaa.droped.resnet import PreActResNet18

# Training
def train(epoch):
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8 changes: 4 additions & 4 deletions scripts/droped/top_quora_transformer.py
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# Aurelien Coet, 2018.

from utils.utils_top_transformer import train, validate
from a3v.droped import TransformerESIM as ESIM
# from a3v.model_esim import ESIM
from a3v.model_transformer_top import TOP
# from a3v.model_bert_transformer import ESIM
from vaa.droped import TransformerESIM as ESIM
# from vaa.model_esim import ESIM
from vaa.model_transformer_top import TOP
# from vaa.model_bert_transformer import ESIM
import torch.nn as nn
import matplotlib.pyplot as plt
import os
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4 changes: 2 additions & 2 deletions scripts/droped/transformer_quora.py
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# Aurelien Coet, 2018.

from utils.utils_transformer import train, validate
from a3v.droped import TransformerESIM as ESIM
# from a3v.model_esim import ESIM
from vaa.droped import TransformerESIM as ESIM
# from vaa.model_esim import ESIM
import torch.nn as nn
import matplotlib.pyplot as plt
import os
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2 changes: 1 addition & 1 deletion scripts/preprocessing/preprocess_mnli.py
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import fnmatch
import json

from a3v.data import Preprocessor
from vaa.data import Preprocessor


def preprocess_MNLI_data(inputdir,
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2 changes: 1 addition & 1 deletion scripts/preprocessing/preprocess_mnli_bert.py
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import fnmatch
import json

from a3v.data import Preprocessor
from vaa.data import Preprocessor


def preprocess_MNLI_data(inputdir,
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2 changes: 1 addition & 1 deletion scripts/preprocessing/preprocess_quora.py
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import fnmatch
import json

from a3v.data import Preprocessor
from vaa.data import Preprocessor


def preprocess_quora_data(inputdir,
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2 changes: 1 addition & 1 deletion scripts/preprocessing/preprocess_quora_bert.py
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import fnmatch
import json

from a3v.data import Preprocessor
from vaa.data import Preprocessor


def preprocess_quora_data(inputdir,
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2 changes: 1 addition & 1 deletion scripts/preprocessing/preprocess_snli.py
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import fnmatch
import json

from a3v.data import Preprocessor
from vaa.data import Preprocessor


def preprocess_SNLI_data(inputdir,
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2 changes: 1 addition & 1 deletion scripts/preprocessing/preprocess_snli_bert.py
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import fnmatch
import json

from a3v.data import Preprocessor
from vaa.data import Preprocessor


def preprocess_SNLI_data(inputdir,
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4 changes: 2 additions & 2 deletions scripts/testing/test_mnli.py
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import json

from torch.utils.data import DataLoader
from a3v.data import NLIDataset
from a3v.model import ESIM
from vaa.data import NLIDataset
from vaa.model import ESIM


def predict(model, dataloader, labeldict):
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6 changes: 3 additions & 3 deletions scripts/testing/test_quora.py
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import torch

from torch.utils.data import DataLoader
from a3v.data import NLIDataset
from a3v.model import ESIM
from a3v.utils import correct_predictions
from vaa.data import NLIDataset
from vaa.model import ESIM
from vaa.utils import correct_predictions
from sklearn import metrics


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6 changes: 3 additions & 3 deletions scripts/testing/test_snli.py
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import torch

from torch.utils.data import DataLoader
from a3v.data import NLIDataset
from a3v.model import ESIM
from a3v.utils import correct_predictions
from vaa.data import NLIDataset
from vaa.model import ESIM
from vaa.utils import correct_predictions


def test(model, dataloader):
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6 changes: 3 additions & 3 deletions scripts/training/test_quora_elmo.py
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import argparse
import torch
import numpy as np
from a3v.data import ElmoDataset
from vaa.data import ElmoDataset
from torch.utils.data import DataLoader
from a3v.model_elmo import ESIM
from a3v.utils import correct_predictions
from vaa.model_elmo import ESIM
from vaa.utils import correct_predictions
from sklearn import metrics
from allennlp.modules.elmo import batch_to_ids

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6 changes: 3 additions & 3 deletions scripts/training/test_snli_elmo.py
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import argparse
import torch
import numpy as np
from a3v.data import ElmoDataset
from vaa.data import ElmoDataset
from torch.utils.data import DataLoader
from a3v.model_elmo2 import ESIM
from a3v.utils import correct_predictions
from vaa.model_elmo2 import ESIM
from vaa.utils import correct_predictions
from sklearn import metrics
from allennlp.modules.elmo import batch_to_ids

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4 changes: 2 additions & 2 deletions scripts/training/train_mnli.py
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import torch.nn as nn

from torch.utils.data import DataLoader
from a3v.data import NLIDataset
from a3v.model import ESIM
from vaa.data import NLIDataset
from vaa.model import ESIM
from utils.utils_esim import train, validate


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4 changes: 2 additions & 2 deletions scripts/training/train_snli.py
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import torch.nn as nn

from torch.utils.data import DataLoader
from a3v.data import NLIDataset
from a3v.model import ESIM
from vaa.data import NLIDataset
from vaa.model import ESIM
from utils.utils_esim import train, validate


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4 changes: 2 additions & 2 deletions test_bert_mnli.py
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# Aurelien Coet, 2018.

from utils.runned.utils_test_three import validate
from a3v.model_transformer import ESIM
# from a3v.model_bert_transformer import ESIM
from vaa.model_transformer import ESIM
# from vaa.model_bert_transformer import ESIM
import os
import argparse
import json
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4 changes: 2 additions & 2 deletions test_bert_snli.py
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# Aurelien Coet, 2018.

from utils.runned.utils_test_three import validate
from a3v.model_transformer import ESIM
# from a3v.model_bert_transformer import ESIM
from vaa.model_transformer import ESIM
# from vaa.model_bert_transformer import ESIM
import os
import argparse
import json
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8 changes: 4 additions & 4 deletions top_bert_mnli.py
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# Aurelien Coet, 2018.

from utils.utils_top_transformer import train, validate
# from a3v.model_transformer import TransformerESIM as ESIM
from a3v.model_transformer import ESIM
from a3v.model_transformer_top import TOP
# from a3v.model_bert_transformer import ESIM
# from vaa.model_transformer import TransformerESIM as ESIM
from vaa.model_transformer import ESIM
from vaa.model_transformer_top import TOP
# from vaa.model_bert_transformer import ESIM
import torch.nn as nn
import matplotlib.pyplot as plt
import os
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8 changes: 4 additions & 4 deletions top_bert_mnli_test.py
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# Aurelien Coet, 2018.

from utils.utils_top_transformer import test
# from a3v.model_transformer import TransformerESIM as ESIM
from a3v.model_transformer import ESIM
from a3v.model_transformer_top import TOP
# from a3v.model_bert_transformer import ESIM
# from vaa.model_transformer import TransformerESIM as ESIM
from vaa.model_transformer import ESIM
from vaa.model_transformer_top import TOP
# from vaa.model_bert_transformer import ESIM
import torch.nn as nn
import matplotlib.pyplot as plt
import os
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