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detect_anomaly not supported for pytorch-lightning<1.5

See original GitHub issue

Support for passing detect_anomaly (in conf/defaults.yaml) was added in pytorch-lightning 1.5 (Refer PyTorchLightning/pytorch-lightning#9848). For lower versions training will fail with

Traceback (most recent call last):
  File "/home/ashwin/Desktop/Projects/torchgeo/train.py", line 226, in <module>
    main(conf)
  File "/home/ashwin/Desktop/Projects/torchgeo/train.py", line 196, in main
    trainer = pl.Trainer(**trainer_args)
  File "/home/ashwin/anaconda3/envs/torchgeo/lib/python3.9/site-packages/pytorch_lightning/trainer/connectors/env_vars_connector.py", line 40, in insert_env_defaults
    return fn(self, **kwargs)
TypeError: __init__() got an unexpected keyword argument 'detect_anomaly'

So we either need to pin minimum version to 1.5 or remove this flag from conf/defaults.yaml.

Issue Analytics

State:
Created 2 years ago
Comments:5 (1 by maintainers)

Top GitHub Comments

1reaction

adamjstewartcommented, Jan 2, 2022

Yep!

1reaction

calebrob6commented, Jan 1, 2022

Yeah we should definitely get rid of it

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