code: def __init__(self):
      super().__init__()
      self.param = torch.nn.Parameter(torch.randn(2**28))  # 1GB
      self.param2 = torch.nn.Parameter(torch.randn(2**28))
  
imports: import io
  import os
  import onnx
  import torch
  from beartype import roar
  from torch.onnx import dynamo_export, ExportOptions, ONNXProgram
  from torch.onnx._internal import exporter, io_adapter
  from torch.onnx._internal.exporter import LargeProtobufONNXProgramSerializer, ONNXProgramSerializer, ProtobufONNXProgramSerializer, ResolvedExportOptions
  from torch.onnx._internal.fx import diagnostics
  from torch.testing._internal import common_utils
label_desc: Use image node_id 1 to create a new _LargeModel object from inherited base classes: torch.nn with example: obj = _LargeModel()