Change tensorboard imports to use built-in tensorboard if available

examples/contrib/run_swag.py

@@ -31,10 +31,14 @@ import torch
 from torch.utils.data import (DataLoader, RandomSampler, SequentialSampler,
                               TensorDataset)
 from torch.utils.data.distributed import DistributedSampler
-from tqdm import tqdm, trange
 
+try:
+    from torch.utils.tensorboard import SummaryWriter
+except:
     from tensorboardX import SummaryWriter
 
+from tqdm import tqdm, trange
+
 from transformers import (WEIGHTS_NAME, BertConfig,
                                   BertForMultipleChoice, BertTokenizer)
 

examples/distillation/distiller.py

@@ -19,7 +19,6 @@ import os
 import math
 import psutil
 import time
-from tensorboardX import SummaryWriter
 from tqdm import trange, tqdm
 import numpy as np
 import psutil
@@ -31,6 +30,11 @@ from torch.optim import AdamW
 from torch.utils.data.distributed import DistributedSampler
 from torch.utils.data import RandomSampler, BatchSampler, DataLoader
 
+try:
+    from torch.utils.tensorboard import SummaryWriter
+except:
+    from tensorboardX import SummaryWriter
+
 from transformers import WarmupLinearSchedule
 
 from utils import logger

examples/distillation/run_squad_w_distillation.py

@@ -30,10 +30,14 @@ from torch.utils.data import (DataLoader, RandomSampler, SequentialSampler,
 from torch.utils.data.distributed import DistributedSampler
 import torch.nn.functional as F
 import torch.nn as nn
-from tqdm import tqdm, trange
 
+try:
+    from torch.utils.tensorboard import SummaryWriter
+except:
     from tensorboardX import SummaryWriter
 
+from tqdm import tqdm, trange
+
 from transformers import (WEIGHTS_NAME, BertConfig,
                                   BertForQuestionAnswering, BertTokenizer,
                                   XLMConfig, XLMForQuestionAnswering,

examples/run_glue.py

@@ -28,7 +28,12 @@ import torch
 from torch.utils.data import (DataLoader, RandomSampler, SequentialSampler,
                               TensorDataset)
 from torch.utils.data.distributed import DistributedSampler
+
+try:
+    from torch.utils.tensorboard import SummaryWriter
+except:
     from tensorboardX import SummaryWriter
+
 from tqdm import tqdm, trange
 
 from transformers import (WEIGHTS_NAME, BertConfig,

examples/run_lm_finetuning.py

@@ -32,7 +32,12 @@ import numpy as np
 import torch
 from torch.utils.data import DataLoader, Dataset, SequentialSampler, RandomSampler
 from torch.utils.data.distributed import DistributedSampler
+
+try:
+    from torch.utils.tensorboard import SummaryWriter
+except:
     from tensorboardX import SummaryWriter
+
 from tqdm import tqdm, trange
 
 from transformers import (WEIGHTS_NAME, AdamW, WarmupLinearSchedule,

examples/run_multiple_choice.py

@@ -29,7 +29,12 @@ import torch
 from torch.utils.data import (DataLoader, RandomSampler, SequentialSampler,
                               TensorDataset)
 from torch.utils.data.distributed import DistributedSampler
+
+try:
+    from torch.utils.tensorboard import SummaryWriter
+except:
     from tensorboardX import SummaryWriter
+
 from tqdm import tqdm, trange
 
 from transformers import (WEIGHTS_NAME, BertConfig,

examples/run_squad.py

@@ -28,10 +28,14 @@ import torch
 from torch.utils.data import (DataLoader, RandomSampler, SequentialSampler,
                               TensorDataset)
 from torch.utils.data.distributed import DistributedSampler
-from tqdm import tqdm, trange
 
+try:
+    from torch.utils.tensorboard import SummaryWriter
+except:
     from tensorboardX import SummaryWriter
 
+from tqdm import tqdm, trange
+
 from transformers import (WEIGHTS_NAME, BertConfig,
                                   BertForQuestionAnswering, BertTokenizer,
                                   XLMConfig, XLMForQuestionAnswering,