code: def setup(self):
      self.dropout_layer = nn.Dropout(rate=self.config.dropout)
  
      embed_dim = self.config.hidden_size
      self.padding_idx = self.config.pad_token_id
      self.max_target_positions = self.config.max_position_embeddings
  
      self.embed_tokens = nn.Embed(
          self.config.vocab_size,
          self.config.word_embed_proj_dim,
          embedding_init=jax.nn.initializers.normal(
              self.config.init_std
          ),
          dtype=self.dtype,
      )
  
      self.embed_positions = FlaxOPTLearnedPositionalEmbedding(
          self.config.max_position_embeddings,
          embed_dim,
          embedding_init=jax.nn.initializers.normal(
              self.config.init_std
          ),
          dtype=self.dtype,
      )
  
      if self.config.word_embed_proj_dim != self.config.hidden_size:
          self.project_in = nn.Dense(
              self.config.hidden_size, use_bias=False
          )
          self.project_out = nn.Dense(
              self.config.word_embed_proj_dim, use_bias=False
          )
  
      else:
          self.project_in = None
          self.project_out = None
  
      # Note that the only purpose of `config._remove_final_layer_norm` is to keep backward compatibility
      # with checkpoints that have been fine-tuned before transformers v4.20.1
      # see https://github.com/facebookresearch/metaseq/pull/164
      if (
          self.config.do_layer_norm_before
          and not self.config._remove_final_layer_norm
      ):
          self.final_layer_norm = nn.LayerNorm(
              dtype=self.dtype, epsilon=1e-05
          )
      else:
          self.final_layer_norm = None
  
      self.layers = FlaxOPTDecoderLayerCollection(
          self.config, self.dtype
      )
  
imports: from functools import partial
  from typing import Optional, Tuple
  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 jax.random import PRNGKey
  from ...modeling_flax_outputs import FlaxBaseModelOutput, FlaxMaskedLMOutput
  from ...modeling_flax_utils import ACT2FN, FlaxPreTrainedModel, append_call_sample_docstring
  from ...utils import add_start_docstrings, logging
  from .configuration_opt import OPTConfig
label_desc: Use image node_id 1 for calling the FlaxOPTDecoder obj's underlying member method code with example usage: obj.setup() without return types