Sort imports with isort.
This is the result of:
$ isort --recursive examples templates transformers utils hubconf.py setup.py
This commit is contained in:
@@ -34,10 +34,11 @@ import torch.nn.functional as F
|
||||
from torch.autograd import Variable
|
||||
from tqdm import trange
|
||||
|
||||
from pplm_classification_head import ClassificationHead
|
||||
from transformers import GPT2Tokenizer
|
||||
from transformers.file_utils import cached_path
|
||||
from transformers.modeling_gpt2 import GPT2LMHeadModel
|
||||
from pplm_classification_head import ClassificationHead
|
||||
|
||||
|
||||
PPLM_BOW = 1
|
||||
PPLM_DISCRIM = 2
|
||||
|
||||
@@ -24,16 +24,16 @@ import time
|
||||
import numpy as np
|
||||
import torch
|
||||
import torch.nn.functional as F
|
||||
import torch.optim
|
||||
import torch.optim as optim
|
||||
import torch.utils.data as data
|
||||
from nltk.tokenize.treebank import TreebankWordDetokenizer
|
||||
from torchtext import data as torchtext_data
|
||||
from torchtext import datasets
|
||||
from tqdm import tqdm, trange
|
||||
|
||||
from transformers import GPT2Tokenizer, GPT2LMHeadModel
|
||||
from nltk.tokenize.treebank import TreebankWordDetokenizer
|
||||
from pplm_classification_head import ClassificationHead
|
||||
from torchtext import data as torchtext_data
|
||||
from torchtext import datasets
|
||||
from transformers import GPT2LMHeadModel, GPT2Tokenizer
|
||||
|
||||
|
||||
torch.manual_seed(0)
|
||||
np.random.seed(0)
|
||||
|
||||
Reference in New Issue
Block a user