class_docstr: Wrapper for trace GraphModule
  
  GraphModule and VMModule only supports List[Tensor] inputs and cannot be traced.
  This is a wrapper class for trace GraphModule or VMModule in order to support
  arbitrary number of inputs
  
  Example:
      import tvm.contrib.torch
      tvm_module = tvm.contrib.torch.GraphModule(1, 1, 'cuda:0')
      tvm_module.init(input_shapes, lib_path, graph_path, params_path)
  
      trace_wrapper = tvm.contrib.torch.TraceGraphModule(torch.jit.script(tvm_module))
      traced = torch.jit.trace(trace_wrapper, example_inputs)
code: def __init__(self, tvm_module):
      warnings.warn(
          "This module will be removed at TVM version 0.11",
          DeprecationWarning,
          stacklevel=2,
      )
      super().__init__()
      self.tvm_module = tvm_module
  
imports: import warnings
  from typing import List
  import torch
label_desc: Use image node_id 1 to create a new TraceTvmModule object from inherited base classes: torch.nn with example: obj = TraceTvmModule(tvm_module)