code: def _compute_attn_output(self, F, score: Tensor, v: Tensor) -> Tensor:
      v = F.batch_dot(score, v)
      v = self._merge_head(F, v)
      v = self.out_proj(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 7 for calling the SelfAttention obj's underlying member method code with example usage: obj._compute_attn_output(F, score, v) and returns: v