code: def attn_qkv():
      return [
          Layer(
              weight="self_attn.q_proj.weight",
              bias="self_attn.q_proj.bias",
          ),
          Layer(
              weight="self_attn.k_proj.weight",
              bias="self_attn.k_proj.bias",
          ),
          Layer(
              weight="self_attn.v_proj.weight",
              bias="self_attn.v_proj.bias",
          ),
      ]
  
imports: from transformers.models.speech_to_text.modeling_speech_to_text import Speech2TextDecoderLayer, Speech2TextEncoderLayer
  from parallelformers.policies.base import Layer, Policy
  from parallelformers.transformers.modeling_bart import BartAttention_
  from parallelformers.utils.dist_utils import AllReduceLinear
label_desc: Use image node_id 3 for calling the Speech2TextEncoderPolicy obj's underlying member method code with example usage: obj.attn_qkv() and returns: list