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TypeError: init() got an unexpected keyword argument 'log_dir'

See original GitHub issue

Machine: Amazon EC2 Deep Learning AMI (pytorch_p36 environment)

I have a training script that is trying to create a TensorboardLogger, but that is failing with the below stacktrace. I have pip installed the latest version of ignite.

  File "train.py", line 336, in train
    tb_logger = TensorboardLogger(log_dir=None)
  File "/home/ec2-user/anaconda3/envs/pytorch_p36/lib/python3.6/site-packages/ignite/contrib/handlers/tensorboard_logger.py", line 355, in __init__
    self.writer = SummaryWriter(log_dir=log_dir)
  File "/home/ec2-user/anaconda3/envs/pytorch_p36/lib/python3.6/site-packages/tensorboardX/writer.py", line 254, in __init__
    self._get_file_writer()
  File "/home/ec2-user/anaconda3/envs/pytorch_p36/lib/python3.6/site-packages/tensorboardX/writer.py", line 310, in _get_file_writer
    self.file_writer = FileWriter(logdir=self.logdir, **self.kwargs)
TypeError: __init__() got an unexpected keyword argument 'log_dir'

Could you please explain why this is happening and what I can do to fix it? Thanks!

Issue Analytics

State:
Created 4 years ago
Comments:11

Top GitHub Comments

4reactions

tonyhqanguyencommented, May 27, 2019

I did that, but still am encountering the problem. I reverted my tensorboardX to 1.6, I think it’s fixing the problem.

2reactions

vfdev-5commented, May 27, 2019

@UltraSpecialException I think the code you are trying to use: https://github.com/huggingface/transfer-learning-conv-ai/blob/b7f295f840f719056287504554083ec3f2688651/train.py#L234 is working with tensorboardX < 1.7 since tensorboardx master SummaryWriter has attribute logdir instead of log_dir… https://github.com/lanpa/tensorboardX/blob/3e35c9b5f85e8ceb0294532d9eb772341a04c097/tensorboardX/writer.py#L244

Btw, yes, ignite is compatible with python 2.7 and 3.x

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