code: def nasnetalarge(pretrained=False, **kwargs) -> NASNetALarge:
      """NASNet-A large model architecture."""
      model_kwargs = dict(pad_type="same", **kwargs)
      return _create_nasnet("nasnetalarge", pretrained, **model_kwargs)
  
imports: from functools import partial
  import torch
  import torch.nn
  import torch.nn.functional
  from timm.layers import ConvNormAct, create_conv2d, create_pool2d, create_classifier
  from ._builder import build_model_with_cfg
  from ._registry import register_model, generate_default_cfgs
label_desc: Use image node_id 2 for calling a global function with example usage: nasnetalarge(pretrained) and returns: _create_nasnet