batdetect2/tests/test_train/test_lightning.py
2025-08-25 17:23:27 +01:00

46 lines
1.2 KiB
Python

from pathlib import Path
import lightning as L
import torch
from soundevent import data
from batdetect2.train import FullTrainingConfig, TrainingModule
from batdetect2.train.train import build_training_module
from batdetect2.typing.preprocess import AudioLoader
def build_default_module():
config = FullTrainingConfig()
return build_training_module(config)
def test_can_initialize_default_module():
module = build_default_module()
assert isinstance(module, L.LightningModule)
def test_can_save_checkpoint(
tmp_path: Path,
clip: data.Clip,
sample_audio_loader: AudioLoader,
):
module = build_default_module()
trainer = L.Trainer()
path = tmp_path / "example.ckpt"
trainer.strategy.connect(module)
trainer.save_checkpoint(path)
recovered = TrainingModule.load_from_checkpoint(path)
wav = torch.tensor(sample_audio_loader.load_clip(clip))
spec1 = module.model.preprocessor(wav)
spec2 = recovered.model.preprocessor(wav)
torch.testing.assert_close(spec1, spec2, rtol=0, atol=0)
output1 = module(spec1.unsqueeze(0).unsqueeze(0))
output2 = recovered(spec2.unsqueeze(0).unsqueeze(0))
torch.testing.assert_close(output1, output2, rtol=0, atol=0)