code: def setup(self):
      hidden_size = self.config.hidden_size
      inner_dim = (
          self.config.n_inner
          if self.config.n_inner is not None
          else 4 * hidden_size
      )
  
      self.ln_1 = nn.LayerNorm(
          epsilon=self.config.layer_norm_epsilon, dtype=self.dtype
      )
      self.attn = FlaxGPTJAttention(self.config, dtype=self.dtype)
  
      self.mlp = FlaxGPTJMLP(self.config, inner_dim, dtype=self.dtype)
  
imports: from functools import partial
  from typing import Optional, Tuple
  import flax.linen
  import jax
  import jax.numpy
  import 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 FlaxGPTJBlock obj's underlying member method code with example usage: obj.setup() without return types