code: def __call__(self, hidden_state):
      # TODO: Add ACT2FN reference to change activation function
      dense = nn.Dense(features=self.output_size, name="dense")(
          hidden_state
      )
      return ACT2FN[self.hidden_act](dense)
  
imports: from typing import Callable, Dict, Tuple
  import flax.linen
  import jax
  import jax.numpy
  import numpy
  from jax.random import PRNGKey
  from modeling_flax_performer_utils import make_fast_softmax_attention
  from transformers.file_utils import add_start_docstrings
  from transformers.modeling_flax_utils import ACT2FN
  from transformers.models.bert.configuration_bert import BertConfig
  from transformers.models.bert.modeling_flax_bert import FlaxBertOnlyMLMHead, FlaxBertPreTrainedModel
  from transformers.utils import logging
label_desc: Use image node_id 1 for calling the FlaxPerformerIntermediate obj's underlying member method code with example usage: obj.__call__(hidden_state) and returns: ACT2FN