import torch as t


class Transformer(t.nn.Module):
    #TODO: complete Transformer block
    def __init__(self):
        super(Transformer, self).__init__()
        pass


class MultiHeadAttention(t.nn.Module):
    def __init__(self):
        super(MultiHeadAttention, self).__init__()
        pass


class LayerNormalize(t.nn.Module):
    def __init__(self):
        super(LayerNormalize, self).__init__()
        pass


class FeedForward(t.nn.Module):
    def __init__(self):
        super(FeedForward, self).__init__()
        pass


class PositionEncoding(t.nn.Module):
    def __init__(self):
        super(PositionEncoding, self).__init__()
        pass

