code: def dot_product_similarity(
      x: jnp.ndarray, y: Optional[jnp.ndarray] = None
  ) -> jnp.ndarray:
      return jnp.einsum("bnd,bmd->bnm", x, x if y is None else y)
  
imports: from typing import Any, Dict, List, Optional, Sequence, Tuple, Type, Union
  from absl import logging
  from clu import preprocess_spec
  from flax import core
  import jax
  import jax.numpy
  import numpy
  from scenic.train_lib import train_utils
  import scipy
label_desc: Use image node_id 7 for calling a global function with example usage: dot_product_similarity(x, y) and returns: jnp