code: def __call__(self, hidden_state, attention_mask):
      layer = FlaxPerformerLayerCollection(
          self.num_layers,
          self.num_heads,
          self.head_size,
          self.intermediate_size,
          name="layer",
          hidden_act=self.hidden_act,
      )(hidden_state, attention_mask)
      return layer
  
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 FlaxPerformerEncoder obj's underlying member method code with example usage: obj.__call__(hidden_state, attention_mask) and returns: layer