code: def _rotary_pe_mha(c: TransformerConfigs):
      from labml_nn.transformers.rope import RotaryPEMultiHeadAttention
  
      return RotaryPEMultiHeadAttention(c.n_heads, c.d_model, 1.0)
  
imports: from labml import experiment
  from labml.configs import option, calculate
  from labml_nn.transformers import TransformerConfigs
  from labml_nn.transformers.basic.autoregressive_experiment import AutoregressiveTransformer, Configs
label_desc: Use image node_id 1 for calling a global function with example usage: _rotary_pe_mha(c) and returns: RotaryPEMultiHeadAttention