def attention(query: torch.Tensor,
              key: torch.Tensor,
              value: torch.Tensor,
              mask: torch.Tensor = None,
              dropout: Callable = None) -> Tuple[torch.Tensor, torch.Tensor]:
    """Compute 'Scaled Dot Product Attention'"""
    d_k = query.size(-1)
    scores = torch.matmul(query, key.transpose(-2, -1)) / math.sqrt(d_k)
    if mask is not None:
        scores = scores.masked_fill(mask == 0, -1e9)
    p_attn = F.softmax(scores, dim=-1)
    if dropout is not None:
        p_attn = dropout(p_attn)
    return torch.matmul(p_attn, value), p_attn
Compute 'Scaled Dot Product Attention