code: def __init__(self, cfg, name=None):
      super(NSPHead, self).__init__()
      initializer = nn.initializer.TruncatedNormal(
          std=cfg["initializer_range"]
      )
      self.nsp = _build_linear(
          cfg["hidden_size"],
          2,
          append_name(name, "nsp_fc"),
          initializer,
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from __future__ import unicode_literals
  import json
  import logging
  import math
  import six
  import numpy
  import paddle
  from paddle import nn
  from paddle.nn import functional
  from disco_diffusion_ernievil_base.vit_b_16x.ernievil2.transformers.file_utils import _fetch_from_remote, add_docstring
label_desc: Use image node_id 1 to create a new NSPHead object from inherited base classes: nn with example: obj = NSPHead(cfg, name)