python 3.11, snakemake problem

[smilesun]

snakemake/snakemake#2619

#691

[smilesun]

snakemake/snakemake#2619

[codecov-commenter]

Codecov Report

All modified and coverable lines are covered by tests ✅

Comparison is base (5043785) 95.05% compared to head (76e0a0f) 95.05%.

Additional details and impacted files

@@           Coverage Diff           @@
##           master     #743   +/-   ##
=======================================
  Coverage   95.05%   95.05%           
=======================================
  Files         125      125           
  Lines        4911     4911           
=======================================
  Hits         4668     4668           
  Misses        243      243           

Flag	Coverage Δ
unittests	95.05% <ø> (ø)

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[smilesun]

@agisga do we approve any pr that failed the CI?

[smilesun]

In tests/test_dann_jigen_transformer.py:73:

domainlab/algos/trainers/train_basic.py:32: in before_epoch
    self.model.train()
/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/torch/nn/modules/module.py:23[98](https://github.com/marrlab/DomainLab/actions/runs/7539289822/job/20521500559?pr=743#step:5:99): in train
    module.train(mode)
/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/torch/nn/modules/module.py:2398: in train
    module.train(mode)
/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/torchvision/models/feature_extraction.py:324: in train
    self.graph = self.train_graph
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = GraphModule(
  (conv_proj): Conv2d(3, 768, kernel_size=(16, 16), stride=(16, 16))
  (encoder): Module(
    (dropout): ...out(p=0.0, inplace=False)
        )
      )
    )
    (ln): LayerNorm((768,), eps=1e-06, elementwise_affine=True)
  )
)
name = 'train_graph'

    def __getattr__(self, name: str) -> Any:
        if '_parameters' in self.__dict__:
            _parameters = self.__dict__['_parameters']
            if name in _parameters:
                return _parameters[name]
        if '_buffers' in self.__dict__:
            _buffers = self.__dict__['_buffers']
            if name in _buffers:
                return _buffers[name]
        if '_modules' in self.__dict__:
            modules = self.__dict__['_modules']
            if name in modules:
                return modules[name]
>       raise AttributeError(f"'{type(self).__name__}' object has no attribute '{name}'")
E       AttributeError: 'GraphModule' object has no attribute 'train_graph'

/opt/hostedtoolcache/Python/3.11.7/x64/lib/python3.11/site-packages/torch/nn/modules/module.py:1695: AttributeError

[smilesun]

@RaoUmer , it seems to be a problem with VIT?

https://github.com/marrlab/DomainLab/blob/master/tests/test_dann_jigen_transformer.py