class_docstr: Wrapper runtime module.
  
  This is a thin wrapper of the underlying TVM module.
  you can also directly call set_input, run, and get_output
  of underlying module functions
  
  Parameters
  ----------
  module : Module
      The internal tvm module that holds the actual coreml functions.
  
  Attributes
  ----------
  module : Module
      The internal tvm module that holds the actual coreml functions.
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code: def __init__(self, module):
      self.module = module
      self.invoke = module["invoke"]
      self.set_input = module["set_input"]
      self.get_output = module["get_output"]
      self.get_num_outputs = module["get_num_outputs"]
  
imports: import tvm._ffi
  from ..rpc import base
label_desc: Use image node_id 1 to create a new CoreMLModule object from inherited base classes: object with example: obj = CoreMLModule(module)