<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
 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