code: def test_access_onnx_program_model_proto_raises_when_onnx_program_is_emitted_from_failed_export(
      self,
  ):
      class ModelWithExportError(torch.nn.Module):
          def forward(self, x):
              raise RuntimeError("Export error")
  
      with self.assertRaises(torch.onnx.OnnxExporterError) as cm:
          dynamo_export(ModelWithExportError(), torch.randn(1, 1, 2))
      onnx_program = cm.exception.onnx_program
      with self.assertRaises(RuntimeError):
          onnx_program.model_proto
  
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 12 for calling the TestDynamoExportAPI obj's underlying member method code with example usage: obj.test_access_onnx_program_model_proto_raises_when_onnx_program_is_emitted_from_failed_export() without return types