code: def enforce_as_strided_input_layout(gm: torch.fx.GraphModule):
      """
      Make sure the as_strided node's input's layout does not change due to compiler
      optimizations, because the as_strided strides info depends on input tensor stride info.
      """
  
      as_strided_ops = [
          torch.ops.aten.as_strided.default,
          torch.ops.aten.as_strided_.default,
          torch.ops.aten.as_strided_scatter.default,
      ]
      strided_nodes = [
          n for n in gm.graph.nodes if n.target in as_strided_ops
      ]
      for n in strided_nodes:
          with gm.graph.inserting_before(n):
              # add a node to enforce eager layout
              ft = n.args[0].meta["val"]
              new_node = gm.graph.call_function(
                  prims.inductor_force_stride_order.default,
                  (n.args[0], ft.stride()),
              )
              n.replace_input_with(n.args[0], new_node)
  
      gm.graph.lint()
      gm.recompile()
  
imports: from __future__ import annotations
  import itertools
  import logging
  import weakref
  from typing import Any, List, Optional, Tuple
  import torch
  import torch.utils._pytree
  from torch._dynamo.utils import dynamo_timed, lazy_format_graph_code
  from torch._functorch.aot_autograd import MutationType
  from torch._functorch.compile_utils import fx_graph_cse
  from torch._inductor.constant_folding import constant_fold, replace_node_with_constant
  from torch._inductor.fx_passes.freezing_patterns import freezing_passes
  from torch._inductor.fx_passes.post_grad import view_to_reshape
  from .None import config
label_desc: Use image node_id 6 for calling a global function with example usage: enforce_as_strided_input_layout(gm) without return types