code: def initialize_with_pretrained_backbone(
      self, backbone_params_path, ctx=None
  ):
      self.backbone.load_parameters(backbone_params_path, ctx=ctx)
      self.out_proj.initialize(ctx=ctx)
  
imports: import gluonnlp
  import numpy
  import mxnet
  import pandas
  import matplotlib.pyplot
  from gluonnlp.data.sampler import SplitSampler
  from tqdm import tqdm
  from mxnet.gluon import nn
  from gluonnlp.models import get_backbone
  from gluonnlp.utils.parameter import clip_grad_global_norm
  from gluonnlp.utils.preprocessing import get_trimmed_lengths
  from gluonnlp.utils.misc import get_mxnet_visible_ctx, grouper, repeat
  from mxnet.gluon.data import batchify
  from mxnet.gluon.data import DataLoader
  from mxnet.lr_scheduler import PolyScheduler
  from gluonnlp.utils import set_seed
label_desc: Use image node_id 3 for calling the TextPredictionNet obj's underlying member method code with example usage: obj.initialize_with_pretrained_backbone(backbone_params_path, ctx) without return types