code: def hybrid_forward(
      self, F, x: Tensor, mask: Optional[Tensor]
  ) -> Tensor:
      q, k, v = self._compute_qkv(F, x)
      score = self._compute_attn_score(F, q, k, mask)
      v = self._compute_attn_output(F, score, v)
      return v
  
imports: import math
  from typing import List, Optional, Tuple
  from mxnet import init
  from mxnet.gluon import HybridBlock, nn, rnn
  from gluonts.core.component import validated
  from gluonts.mx import Tensor
label_desc: Use image node_id 8 for calling the SelfAttention obj's underlying member method code with example usage: obj.hybrid_forward(F, x, mask) and returns: v