code: def forward(self, input_ids):
      embeds = self.word_embedding(input_ids)
      if self.pos_embedding is not None:
          embeds += self.pos_embedding(input_ids)
  
      if self.stabilize_low_precision:
          # Stabilize as in bnb StableEmbedding
          return self.dropout(
              self.norm(embeds.to(torch.get_default_dtype()))
          ).to(embeds.dtype)
      else:
          return self.dropout(self.norm(embeds))
  
imports: import torch
  import math
  from typing import Optional, Tuple
  from functools import partial
  from .embeddings import SinusoidalPositional, LearnablePositional, ScaledSinosoidal
  from .attention import get_attention_mechanism
label_desc: Use image node_id 2 for calling the EmbeddingComponent obj's underlying member method code with example usage: obj.forward(input_ids) and returns: self, self