Train-segformer-segmentation-on-custom-data.ipynb has problem

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1 
early_stop_callback = EarlyStopping(
    monitor="val_loss", 
    min_delta=0.00, 
    patience=10, 
    verbose=False, 
    mode="min",
)

checkpoint_callback = ModelCheckpoint(save_top_k=1, monitor="val_loss")

trainer = pl.Trainer(
    gpus='1', 
    callbacks=[early_stop_callback, checkpoint_callback],
    max_epochs=500,
    val_check_interval=len(train_dataloader),
)
trainer.fit(segformer_finetuner)

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-11-7017a6f3e53e> in <cell line: 11>()
      9 checkpoint_callback = ModelCheckpoint(save_top_k=1, monitor="val_loss")
     10 
---> 11 trainer = pl.Trainer(
     12     gpus='1',
     13     callbacks=[early_stop_callback, checkpoint_callback],

/usr/local/lib/python3.9/dist-packages/pytorch_lightning/utilities/argparse.py in insert_env_defaults(self, *args, **kwargs)
     67 
     68         # all args were already moved to kwargs
---> 69         return fn(self, **kwargs)
     70 
     71     return cast(_T, insert_env_defaults)

TypeError: __init__() got an unexpected keyword argument 'gpus'

The program attached with RobotFlow keeps encountering bugs.

2

same error, following

3

Hi friend, did you manage to solve the problem? Are you using Colab?

4

Hey @show_Wang @Andy_Singal and @nataliameira ,

I’ve looked into this issue but wasn’t able to replicate it. Could you save your version of the Colab and share it?

Could you also make sure you’re using a GPU, not a CPU on Colab? You can check this in Google Colab by going to the Runtime menu > Change Runtime Type and selecting the T4 GPU option.