code: def __call__(self, weights):
      norm_dims = tuple(range(weights.ndim // 2, weights.ndim))
      return jax.nn.softmax(weights, axis=norm_dims)
  
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 SoftmaxAttn obj's underlying member method code with example usage: obj.__call__(weights) and returns: jax