code: def test_runtime_assert_multiple_dims(self) -> None:
      class M(torch.nn.Module):
          def __init__(self):
              super().__init__()
  
          def forward(self, x, y):
              return x.cos().sum() + y.sin().sum()
  
      x = torch.zeros(4, 2, 3)
      y = torch.zeros(5, 5, 5)
  
      dim1_x = torch.export.Dim("dim1_x", min=2, max=6)
      dim0_x, dim0_y = torch.export.dims("dim0_x", "dim0_y", min=3)
  
      ep = torch.export.export(
          M(),
          (x, y),
          dynamic_shapes={
              "x": {0: dim0_x, 1: dim1_x},
              "y": {0: dim0_y},
          },
      )
  
      with self.assertRaisesRegex(
          RuntimeError,
          r"Expected input l_x_.shape\[1\] to be <= 6, but got 7",
      ):
          ep(torch.zeros(4, 7, 3), torch.ones(5, 5, 5))
  
      with self.assertRaisesRegex(
          RuntimeError,
          r"Expected input l_y_.shape\[0\] to be >= 3, but got 2",
      ):
          ep(torch.zeros(4, 2, 3), torch.ones(2, 5, 5))
  
imports: import math
  import unittest
  from typing import List, Set
  import operator
  import torch
  from torch.testing._internal.common_utils import run_tests, TestCase
  from torch.testing import FileCheck
  from torch._dynamo.eval_frame import is_dynamo_supported
  from torch.export import export
  from torch._export.pass_base import _ExportPassBaseDeprecatedDoNotUse
  from torch._export.passes.replace_view_ops_with_view_copy_ops_pass import is_view_op, get_view_copy_of_view_op, ReplaceViewOpsWithViewCopyOpsPass
  from torch._export.passes.functionalize_side_effectful_ops_pass import _FunctionalizeSideEffectfulOpsPass
  from functorch.experimental.control_flow import cond
  from torch.fx.passes.operator_support import OperatorSupport
  from torch.fx.passes.infra.partitioner import Partition
  from torch.utils import _pytree
label_desc: Use image node_id 2 for calling the TestPasses obj's underlying member method code with example usage: obj.test_runtime_assert_multiple_dims() and returns: unknown