code: def setup(self):
      self.dropout_layer = nn.Dropout(rate=self.config.dropout)
  
      embed_dim = self.config.d_model
      self.padding_idx = self.config.pad_token_id
      self.max_target_positions = self.config.max_position_embeddings
      self.embed_scale = (
          math.sqrt(self.config.d_model)
          if self.config.scale_embedding
          else 1.0
      )
  
      self.embed_tokens = nn.Embed(
          self.config.vocab_size,
          embed_dim,
          embedding_init=jax.nn.initializers.normal(
              self.config.init_std
          ),
      )
  
      # XGLM is set up so that if padding_idx is specified then offset the embedding ids by 2
      # and adjust num_embeddings appropriately. Other models don't have this hack
      self.offset = 2
      self.embed_positions = create_sinusoidal_positions(
          self.config.max_position_embeddings + self.offset, embed_dim
      )
      self.layers = FlaxXGLMDecoderLayerCollection(
          self.config, self.dtype
      )
      self.layer_norm = nn.LayerNorm(dtype=self.dtype, epsilon=1e-05)
  
imports: import math
  import random
  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 jax.random import PRNGKey
  from ...modeling_flax_outputs import FlaxBaseModelOutputWithPastAndCrossAttentions, FlaxCausalLMOutputWithCrossAttentions
  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_xglm import XGLMConfig
label_desc: Use image node_id 1 for calling the FlaxXGLMModule obj's underlying member method code with example usage: obj.setup() without return types