code: def create_text_decoder_config_test():
      text_decoder_config = {
          "prefix_length": 77,
          "prefix_inner_dim": 32,
          "prefix_hidden_dim": 32,
          "vocab_size": 1025,  # 1024 + 1 for new EOS token
          "n_positions": 1024,
          "n_embd": 32,
          "n_layer": 5,
          "n_head": 4,
          "n_inner": 37,
          "activation_function": "gelu",
          "resid_pdrop": 0.1,
          "embd_pdrop": 0.1,
          "attn_pdrop": 0.1,
          "layer_norm_epsilon": 1e-5,
          "initializer_range": 0.02,
      }
      return text_decoder_config
  
imports: import argparse
  from argparse import Namespace
  import torch
  from transformers import CLIPImageProcessor, CLIPTextConfig, CLIPTextModel, CLIPTokenizer, CLIPVisionConfig, CLIPVisionModelWithProjection, GPT2Tokenizer
  from diffusers import AutoencoderKL, DPMSolverMultistepScheduler, UniDiffuserModel, UniDiffuserPipeline, UniDiffuserTextDecoder
label_desc: Use image node_id 11 for calling a global function with example usage: create_text_decoder_config_test() and returns: text_decoder_config