🐞 v1 - Issues when validation and test split modes are set to 'none' #1629
Description
Describe the bug
- When val_split_mode is set to none > Error: datamodule object has no attribute 'val_data'
- When test_split_mode is set to none > the test stage is not skipped
Dataset
Other (please specify in the text field below)
Model
Other (please specify in the field below)
Steps to reproduce the behavior
Set val_split_mode or test_split_mode to NONE in a config data file, then start the training process using the config file.
OS information
Expected behavior
when NONE is set to either val_split_mode or test_split_mode, the corresponding stage should be skipped.
Screenshots
No response
Pip/GitHub
pip
What version/branch did you use?
v1
Configuration YAML
class_path: anomalib.data.Kolektor
init_args:
root: "./datasets/kolektor"
image_size: [256, 256]
center_crop: null
normalization: imagenet
train_batch_size: 32
eval_batch_size: 32
num_workers: 8
transform_config_train: null
transform_config_eval: null
test_split_mode: NONE
test_split_ratio: 0.2
val_split_mode: NONE
val_split_ratio: 0.5
seed: nullLogs
│ /media/willy/Windows/data_ubuntu/anomalib/anomalib/src/anomalib/data/base/datamodule.py:198 in │
│ val_dataloader │
│ │
│ 195 │ def val_dataloader(self) -> EVAL_DATALOADERS: │
│ 196 │ │ """Get validation dataloader.""" │
│ 197 │ │ return DataLoader( │
│ ❱ 198 │ │ │ dataset=self.val_data, │
│ 199 │ │ │ shuffle=False, │
│ 200 │ │ │ batch_size=self.eval_batch_size, │
│ 201 │ │ │ num_workers=self.num_workers, │
╰──────────────────────────────────────────────────────────────────────────────────────────────────╯
AttributeError: 'Kolektor' object has no attribute 'val_data'Code of Conduct
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