code: def forward(self, text):
      clip_z = self.clip_encoder.encode(text)
      t5_z = self.t5_encoder.encode(text)
      return [clip_z, t5_z]
  
imports: import torch
  import torch.nn
  import kornia
  from torch.utils.checkpoint import checkpoint
  from transformers import T5Tokenizer, T5EncoderModel, CLIPTokenizer, CLIPTextModel
  import open_clip
  from ldm.util import default, count_params, autocast
  from ldm.modules.diffusionmodules.upscaling import ImageConcatWithNoiseAugmentation
  from ldm.modules.diffusionmodules.openaimodel import Timestep
label_desc: Use image node_id 3 for calling the FrozenCLIPT5Encoder obj's underlying member method code with example usage: obj.forward(text) and returns: list