TypeError: BaseSGDTemplate.__init__() missing 2 required positional arguments: 'model' and 'optimizer'

[hiteshvaidya]

I am trying to run this code and get the above mentioned error.

My shell script looks like this,

cd /data/hvaidya/ocl_survey/experiments
HYDRA_FULL_ERROR=1 python main.py strategy=er_ace experiment=split_cifar100 strategy.train_epochs=1

I changed the default dataset_root in default.yaml in deploy folder because there is no /DATA folder therefore that throws an error. But it got resolved after I mentioned custom dataset root.

benchmark:
  dataset_root: /data/hvaidya/ #/DATA/data

When I run the shell script, I get the following error.

/data/hvaidya/ocl_survey/experiments/main.py:20: UserWarning: 
The version_base parameter is not specified.
Please specify a compatability version level, or None.
Will assume defaults for version 1.1
  @hydra.main(config_path="../config", config_name="config.yaml")
/home/h/hvaidya/.conda/envs/ocl_survey/lib/python3.10/site-packages/hydra/_internal/hydra.py:119: UserWarning: Future Hydra versions will no longer change working directory at job runtime by default.
See https://hydra.cc/docs/1.2/upgrades/1.1_to_1.2/changes_to_job_working_dir/ for more information.
  ret = run_job(
Files already downloaded and verified
Files already downloaded and verified
[44, 19, 93, 90, 71, 69, 37, 95, 53, 91, 81, 42, 80, 85, 74, 56, 76, 63, 82, 40, 26, 92, 57, 10, 16, 66, 89, 41, 97, 8, 31, 24, 35, 30, 65, 7, 98, 23, 20, 29, 78, 61, 94, 15, 4, 52, 59, 5, 54, 46, 3, 28, 2, 70, 6, 60, 49, 68, 55, 72, 79, 77, 45, 1, 32, 34, 11, 0, 22, 12, 87, 50, 25, 47, 36, 96, 9, 83, 62, 84, 18, 17, 75, 67, 13, 48, 39, 21, 64, 88, 38, 27, 14, 73, 33, 58, 86, 43, 99, 51]
SGD (
Parameter Group 0
    dampening: 0
    differentiable: False
    foreach: None
    lr: 0.1
    maximize: False
    momentum: 0.0
    nesterov: False
    weight_decay: 0.0
)
Error executing job with overrides: ['strategy=er_ace', 'experiment=split_cifar100', 'strategy.train_epochs=1']
Traceback (most recent call last):
  File "/data/hvaidya/ocl_survey/experiments/main.py", line 126, in <module>
    main()
  File "/home/h/hvaidya/.conda/envs/ocl_survey/lib/python3.10/site-packages/hydra/main.py", line 94, in decorated_main
    _run_hydra(
  File "/home/h/hvaidya/.conda/envs/ocl_survey/lib/python3.10/site-packages/hydra/_internal/utils.py", line 394, in _run_hydra
    _run_app(
  File "/home/h/hvaidya/.conda/envs/ocl_survey/lib/python3.10/site-packages/hydra/_internal/utils.py", line 457, in _run_app
    run_and_report(
  File "/home/h/hvaidya/.conda/envs/ocl_survey/lib/python3.10/site-packages/hydra/_internal/utils.py", line 223, in run_and_report
    raise ex
  File "/home/h/hvaidya/.conda/envs/ocl_survey/lib/python3.10/site-packages/hydra/_internal/utils.py", line 220, in run_and_report
    return func()
  File "/home/h/hvaidya/.conda/envs/ocl_survey/lib/python3.10/site-packages/hydra/_internal/utils.py", line 458, in <lambda>
    lambda: hydra.run(
  File "/home/h/hvaidya/.conda/envs/ocl_survey/lib/python3.10/site-packages/hydra/_internal/hydra.py", line 132, in run
    _ = ret.return_value
  File "/home/h/hvaidya/.conda/envs/ocl_survey/lib/python3.10/site-packages/hydra/core/utils.py", line 260, in return_value
    raise self._return_value
  File "/home/h/hvaidya/.conda/envs/ocl_survey/lib/python3.10/site-packages/hydra/core/utils.py", line 186, in run_job
    ret.return_value = task_function(task_cfg)
  File "/data/hvaidya/ocl_survey/experiments/main.py", line 81, in main
    strategy = method_factory.create_strategy(
  File "/data/hvaidya/ocl_survey/src/factories/method_factory.py", line 295, in create_strategy
    cl_strategy = globals()[strategy](**strategy_dict, plugins=plugins)
  File "/data/hvaidya/ocl_survey/src/strategies/erace.py", line 108, in __init__
    super().__init__(
  File "/home/h/hvaidya/.conda/envs/ocl_survey/lib/python3.10/site-packages/avalanche/training/templates/common_templates.py", line 122, in __init__
    super().__init__()  # type: ignore
  File "/home/h/hvaidya/.conda/envs/ocl_survey/lib/python3.10/site-packages/avalanche/training/templates/observation_type/batch_observation.py", line 16, in __init__
    super().__init__()
TypeError: BaseSGDTemplate.__init__() missing 2 required positional arguments: 'model' and 'optimizer'

Could you please help me resolve this?

[hiteshvaidya]

Upon looking further into it I found that the error is caused because the model and optimizer variables are set to null by default in config.yaml. Is there anything we can do to set those parameters?

[AlbinSou]

Hello,

Thanks for the issue.

Sure, this is an error that I have already encountered with the avalanche library but I thought it was fixed. The problem comes from the library typing-extensions. Avalanche requires that this library is in version 4.4, for some reason during the installation of the libraries pip decided to install a newer version of this library than the one required by avalanche. Maybe this is due to the order of the installation, I have to check that.

In the meantime, all you have to do to fix it should be

pip install typing-extensions==4.4.0

Let me know if this solves the problem.

[hiteshvaidya]

that worked for me. thanks! for your prompt reply

[AntonioCarta]

@AlbinSou is this repo using the Avalanche 0.4 version? the old commits may not have the typing-extensions==4.4.0 requirement.

[AlbinSou]

I just checked, it is using a version just before 0.4.0. And yes, it did not have the update to requirements file. Maybe I will try to make it use 0.4.0 that way I can switch the installation to pip install avalanche-lib.