code: def setup(self):
      embed_dim = self.config.hidden_size
      kernel_init = jax.nn.initializers.normal(
          self.config.initializer_range
      )
  
      self.fc_in = nn.Dense(
          self.intermediate_size,
          dtype=self.dtype,
          kernel_init=kernel_init,
      )
      self.fc_out = nn.Dense(
          embed_dim, dtype=self.dtype, kernel_init=kernel_init
      )
  
      self.act = ACT2FN[self.config.activation_function]
      self.dropout = nn.Dropout(rate=self.config.resid_pdrop)
  
imports: from functools import partial
  from typing import Optional, Tuple
  import numpy
  import flax.linen
  import jax
  import jax.numpy
  from flax.core.frozen_dict import FrozenDict, freeze, unfreeze
  from flax.linen import combine_masks, make_causal_mask
  from flax.linen.attention import dot_product_attention_weights
  from flax.traverse_util import flatten_dict, unflatten_dict
  from jax import lax
  from ...modeling_flax_outputs import FlaxBaseModelOutput, FlaxCausalLMOutput
  from ...modeling_flax_utils import ACT2FN, FlaxPreTrainedModel, append_call_sample_docstring
  from ...utils import add_start_docstrings, add_start_docstrings_to_model_forward, logging
  from .configuration_gptj import GPTJConfig
label_desc: Use image node_id 1 for calling the FlaxGPTJMLP obj's underlying member method code with example usage: obj.setup() without return types