code: def __call__(self, inputs_q, inputs_kv, bias=None, dtype=jnp.float32):
      qkv_features = self.qkv_features or inputs_q.shape[-1]
      out_features = self.out_features or inputs_q.shape[-1]
  
      QKVDense = functools.partial(
          Dense, features=qkv_features, use_bias=False, dtype=dtype
      )
      query = QKVDense(name="query")(inputs_q)
      key = QKVDense(name="key")(inputs_kv)
      value = QKVDense(name="value")(inputs_kv)
  
      y = RawDotProductAttention(attn_module=self.attn_module)(
          query, key, value, bias=bias, dtype=dtype
      )
      y = Dense(features=out_features, dtype=dtype, name="out")(y)
      return y
  
imports: import functools
  from pprint import pprint
  from typing import Any, Callable, Optional, Sequence
  from flax.core.frozen_dict import unfreeze
  from flax.linen import initializers
  from flax.linen import Module, compact, vmap
  from flax.linen.linear import PrecisionLike
  import jax
  from jax import lax, numpy, random
label_desc: Use image node_id 1 for calling the DotProductAttention obj's underlying member method code with example usage: obj.__call__(inputs_q, inputs_kv, bias, dtype) and returns: y