import torch
from torch import nn
from models.base import AEEncoder, Decoder


class AutoEncoder(nn.Module):
    
    def __init__(self, config):
        super(AutoEncoder, self).__init__()

        self.encoder : AEEncoder = AEEncoder(config['encoder_block_settings'], config['kernel_size'], config['activation'], is_label=config['is_label'], device=config['device'], nr_of_labels=7, input_features=config['input_features'])
        self.decoder : Decoder = Decoder(config['decoder_block_settings'], kernel_size=config['kernel_size'], is_label=config['is_label'], device=config['device'], nr_of_classes=6)


    def forward(self, input):
        x = input

        x = self.encoder(x)
        x = self.decoder(x)

        return x