class_docstr: Adds adapters to the T5Stack module.
class_docstr_tok: ["Adds","adapters","to","the","T5Stack","module","."]
code: def post_embedding_forward(self, embedding_output):
      embedding_output = self.invertible_adapters_forward(
          embedding_output
      )
      # Prompt tuning not yet supported
      return embedding_output
  
imports: from typing import Iterable, Optional, Tuple
  import torch
  import torch.nn
  from ...methods.bottleneck import BottleneckLayer
  from ...methods.lora import LoRALinear
  from ...methods.prefix_tuning import PrefixTuningLayer
  from ...model_mixin import EmbeddingAdaptersMixin, InvertibleAdaptersMixin, InvertibleAdaptersWrapperMixin, ModelBaseAdaptersMixin, ModelWithHeadsAdaptersMixin
label_desc: Use image node_id 2 for calling the T5StackAdaptersMixin obj's underlying member method code with example usage: obj.post_embedding_forward(embedding_output) and returns: embedding_output