from transformers import PreTrainedModel
from .unet3d import UNet, UNetDeepSup
from .UNetConfigs import UNet3DConfig, UNetMSS3DConfig

class UNet3D(PreTrainedModel):
    config_class = UNet3DConfig
    def __init__(self, config):
        super().__init__(config)
        self.model = UNet(
            in_ch=config.in_ch, 
            out_ch=config.out_ch, 
            init_features=config.init_features,
            dropout_rate=config.dropout_rate)
    def forward(self, x):
        return self.model(x)
    
class UNetMSS3D(PreTrainedModel):
    config_class = UNetMSS3DConfig
    def __init__(self, config):
        super().__init__(config)
        self.model = UNetDeepSup(
            in_ch=config.in_ch, 
            out_ch=config.out_ch, 
            init_features=config.init_features,
            dropout_rate=config.dropout_rate)
    def forward(self, x):
        return self.model(x)