expect the network to see. If not specified, the original
        "inputs" are used for checking
  * **check_tolerance** (*float**, **optional*) -- Floating-point
    comparison tolerance to use in the checker procedure. This can
    be used to relax the checker strictness in the event that
    results diverge numerically for a known reason, such as
    operator fusion.

  * **example_inputs_is_kwarg** ("bool", optional) -- This
    parameter indicate whether the example inputs is a pack pack
    of keyword arguments. Default: "False".

Returns:
      A "ScriptModule" object with a single "forward" method
      containing the traced code. When "func" is a "torch.nn.Module",
      the returned "ScriptModule" will have the same set of sub-
      modules and parameters as "func".
Example (tracing a module with multiple methods):
  import torch
  import torch.nn as nn

  class Net(nn.Module):
      def __init__(self):
