class_docstr: Class that handles conversion of pytorch models represented in TorchScript
  format to the MIL format.
  
  Models passed to the @TorchConverter go from:
  TorchScript -> Expanded/Optimized Torch IR -> Internal Graph -> CoreML SSA
  The internal graph representation was added to make testing easier.
  
  Arguments:
      torchscript: torch.jit.ScriptModule object representing the model to convert.
      inputs: Input values and optional names. See kwarg in load.py for full description.
      outputs: Names of the graph's outputs. See kwarg in load.py for full description.
      cut_at_symbols: A list of internal symbol name strings. Graph conversion will
          terminate once these symbols have been generated. For debugging use
          only. See kwarg in load.py.
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docstr: Converts an InputType torch.Tensor into a Placeholder.
          
docstr_tok: ["Converts","an","InputType","torch.Tensor","into","a","Placeholder","."]
code: def _create_placeholder(_input):
      """Converts an InputType torch.Tensor into a Placeholder."""
      shape = _input.shape.shape
      dtype = _input.dtype
      return mb.placeholder(shape, dtype=dtype)
  
imports: from __future__ import print_function
  from six import string_types
  import logging
  import torch
  from coremltools.converters.mil.input_types import InputType, ImageType
  from coremltools.converters.mil.mil import types
  from coremltools.converters.mil.mil import Builder
  from coremltools.converters.mil.mil import Placeholder, Function, Program, get_new_symbol
  from coremltools.converters.mil.mil import Var
  from .internal_graph import *
  from .ops import *
  from .torch_op_registry import _TORCH_OPS_REGISTRY
  from .torchir_passes import *
label_desc: Use image node_id 3 for calling the TorchConverter obj's underlying member method code with example usage: obj._create_placeholder(_input) and returns: mb