def test_preprocessing_data_pipeline_no_running_stage(with_dataset):
pipe = DataPipeline(_AutoDatasetTestPreprocess(with_dataset))
dataset = pipe._generate_auto_dataset(range(10), running_stage=None)
with pytest.raises(RuntimeError, match='`__len__` for `load_sample`'):
for idx in range(len(dataset)):
dataset[idx]
# will be triggered when running stage is set
if with_dataset:
assert not hasattr(dataset, 'load_sample_was_called')
assert not hasattr(dataset, 'load_data_was_called')
assert pipe._preprocess_pipeline.load_sample_with_dataset_count == 0
assert pipe._preprocess_pipeline.load_data_with_dataset_count == 0
else:
assert pipe._preprocess_pipeline.load_sample_count == 0
assert pipe._preprocess_pipeline.load_data_count == 0
dataset.running_stage = RunningStage.TRAINING
if with_dataset:
assert pipe._preprocess_pipeline.train_load_data_with_dataset_count == 1
assert dataset.train_load_data_was_called
else:
assert pipe._preprocess_pipeline.train_load_data_count == 1
def test_preprocessing_data_pipeline_with_running_stage(with_dataset):
pipe = DataPipeline(_AutoDatasetTestPreprocess(with_dataset))
running_stage = RunningStage.TRAINING
dataset = pipe._generate_auto_dataset(range(10), running_stage=running_stage)
assert len(dataset) == 10
for idx in range(len(dataset)):
dataset[idx]
if with_dataset:
assert dataset.train_load_sample_was_called
assert dataset.train_load_data_was_called
assert pipe._preprocess_pipeline.train_load_sample_with_dataset_count == len(dataset)
assert pipe._preprocess_pipeline.train_load_data_with_dataset_count == 1
else:
assert pipe._preprocess_pipeline.train_load_sample_count == len(dataset)
assert pipe._preprocess_pipeline.train_load_data_count == 1
