Environment info
transformers version:
- Platform: ubuntu 18.04
- Python version: 3.7
- PyTorch version (GPU?): 1.4.0
- Tensorflow version (GPU?):
- Using GPU in script?: no
- Using distributed or parallel set-up in script?:no
Who can help
Trainer: @sgugger
Information
This import is not compatible with PyTorch 1.4.0
The problem arises when using:
- [ *] the official example scripts: (give details below)
The tasks I am working on is:
- [ *] an official GLUE/SQUaD task: (give the name)
To reproduce
Steps to reproduce the behavior:
>>> from transformers import PreTrainedTokenizer, is_tf_available, is_torch_available
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/home/yuchenlin/anaconda3/envs/mcqa/lib/python3.7/site-packages/transformers/__init__.py", line 611, in <module>
from .trainer import Trainer
File "/home/yuchenlin/anaconda3/envs/mcqa/lib/python3.7/site-packages/transformers/trainer.py", line 69, in <module>
from .trainer_pt_utils import (
File "/home/yuchenlin/anaconda3/envs/mcqa/lib/python3.7/site-packages/transformers/trainer_pt_utils.py", line 26, in <module>
from torch.optim.lr_scheduler import SAVE_STATE_WARNING
ImportError: cannot import name 'SAVE_STATE_WARNING' from 'torch.optim.lr_scheduler' (/home/yuchenlin/anaconda3/envs/mcqa/lib/python3.7/site-packages/torch/optim/lr_scheduler.py)
Expected behavior
Environment info
transformersversion:Who can help
Trainer: @sgugger
Information
This import is not compatible with PyTorch 1.4.0
The problem arises when using:
The tasks I am working on is:
To reproduce
Steps to reproduce the behavior:
Expected behavior