code: def __call__(self, key, query, position_ids):
      sincos = self.sincos[position_ids]
      sin_pos, cos_pos = jnp.split(sincos, 2, axis=-1)
  
      key = apply_rotary_pos_emb(key, sin_pos, cos_pos)
      query = apply_rotary_pos_emb(query, sin_pos, cos_pos)
  
      key = jnp.asarray(key, dtype=self.dtype)
      query = jnp.asarray(query, dtype=self.dtype)
  
      return key, query
  
imports: from functools import partial
  from typing import Optional, Tuple
  import flax.linen
  import jax
  import jax.numpy
  import numpy
  from flax.core.frozen_dict import FrozenDict, freeze, unfreeze
  from flax.linen import combine_masks, make_causal_mask
  from flax.linen.attention import dot_product_attention_weights
  from flax.traverse_util import flatten_dict, unflatten_dict
  from jax import lax
  from ...modeling_flax_outputs import FlaxBaseModelOutput, FlaxCausalLMOutput
  from ...modeling_flax_utils import ACT2FN, FlaxPreTrainedModel, append_call_sample_docstring
  from ...utils import add_start_docstrings, add_start_docstrings_to_model_forward, logging
  from .configuration_llama import LlamaConfig
label_desc: Use image node_id 2 for calling the FlaxLlamaRotaryEmbedding obj's underlying member method code with example usage: obj.__call__(key, query, position_ids) and returns: key,  query