code: def __call__(self, query, key, value, bias=None, dtype=jnp.float32):
      assert key.ndim == query.ndim
      assert key.ndim == value.ndim
  
      n = query.ndim
      attn_weights = lax.dot_general(
          query, key, (((n - 1,), (n - 1,)), ((), ()))
      )
      if bias is not None:
          attn_weights += bias
      attn_weights = self.attn_module()(attn_weights)
      attn_weights = attn_weights.astype(dtype)
  
      contract_dims = (
          tuple(range(n - 1, attn_weights.ndim)),
          tuple(range(0, n - 1)),
      )
      y = lax.dot_general(
          attn_weights, value, (contract_dims, ((), ()))
      )
      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 RawDotProductAttention obj's underlying member method code with example usage: obj.__call__(query, key, value, bias, dtype) and returns: y