code: def _silent_push(da_batches: DocumentArray, name: str) -> None:
      try:
          da_batches.push(name)
      except Exception as ex:
          logger.debug(f"push failed: {ex}")
  
imports: import gc
  import os
  import random
  from threading import Thread
  import disco_diffusion_clip_vitb32.clip.clip
  import numpy
  import paddle
  import paddle.vision.transforms
  import paddle_lpips
  from docarray import Document
  from docarray import DocumentArray
  from IPython import display
  from ipywidgets import Output
  from PIL import Image
  from .helper import logger
  from .helper import parse_prompt
  from .model.losses import range_loss
  from .model.losses import spherical_dist_loss
  from .model.losses import tv_loss
  from .model.make_cutouts import MakeCutoutsDango
  from .model.sec_diff import alpha_sigma_to_t
  from .model.sec_diff import SecondaryDiffusionImageNet2
  from .model.transforms import Normalize
label_desc: Use image node_id 2 for calling a global function with example usage: _silent_push(da_batches, name) without return types