code: def test_type_check_batch_norm_2D_broadcast(self):
      class BasicBlock(torch.nn.Module):
          def __init__(self, inplanes, planes):
              super().__init__()
              norm_layer = torch.nn.BatchNorm2d
              self.bn1 = norm_layer(planes)
  
          def forward(self, x: Dyn):
              identity = x
              out: TensorType((2, 2, Dyn, 4)) = self.bn1(x)
              out += identity
              return out
  
      B = BasicBlock(2, 2)
      ast_rewriter = RewritingTracer()
      graph = ast_rewriter.trace(B)
      traced = GraphModule(ast_rewriter.root, graph, "gm")
      tc = GraphTypeChecker({}, traced)
      tc.type_check()
      for n in graph.nodes:
          if n.op == "placeholder":
              assert n.type == TensorType((Dyn, Dyn, Dyn, Dyn))
          if n.op == "call_function":
              assert n.type == TensorType((Dyn, Dyn, Dyn, Dyn))
          if n.op == "output":
              assert n.type == TensorType((Dyn, Dyn, Dyn, Dyn))
          if n.op == "call_module":
              assert n.type == TensorType((2, 2, Dyn, 4))
  
      B = BasicBlock(1, 1)
      ast_rewriter = RewritingTracer()
      graph = ast_rewriter.trace(B)
      traced = GraphModule(ast_rewriter.root, graph, "gm")
      tc = GraphTypeChecker({}, traced)
      with self.assertRaises(TypeError):
          tc.type_check()
  
imports: import unittest
  import torch
  from torch.fx import symbolic_trace
  from torch.fx.experimental.unify_refinements import infer_symbolic_types
  from torch.fx.experimental.refinement_types import Equality
  from torch.fx.tensor_type import TensorType, Dyn, is_consistent, is_more_precise
  from torch.fx.annotate import annotate
  from torch.fx.experimental.graph_gradual_typechecker import GraphTypeChecker, broadcast_types, Refine
  from torch.fx.experimental.rewriter import RewritingTracer
  from torch.fx import GraphModule
  from torch.fx.passes.shape_prop import ShapeProp
  from torch.testing._internal.common_utils import TestCase
  import sympy
label_desc: Use image node_id 14 for calling the TypeCheckerTest obj's underlying member method code with example usage: obj.test_type_check_batch_norm_2D_broadcast() and returns: out