import pytorch_lightning as L
from configs.config import Config
from utils.data_loader import get_dataloaders
from models.diffusion import Diffusion

# Get dataloaders
_, _, test_loader = get_dataloaders(Config)

# Initialize model
checkpoint_path = Config.training["save_dir"] + "example.ckpt"
latent_diffusion_model = Diffusion.load_from_checkpoint(checkpoint_path, config=Config, latent_dim=Config.latent_dim)

# Initialize trainer
trainer = L.Trainer(gpus=Config.training["gpus"], precision=Config.training["precision"])

# Test the model
trainer.test(latent_diffusion_model, test_loader)