parameters: ()
docstring: List and add all the torch backed ndarray functions to current module.
docstring_summary: List and add all the torch backed ndarray functions to current module.
docstring_tokens: List and add all the torch backed ndarray functions to current module .
function: def _init_torch_module():
      """List and add all the torch backed ndarray functions to current module."""
      plist = ctypes.POINTER(FunctionHandle)()
      size = ctypes.c_uint()
      check_call(_LIB.MXListFunctions(ctypes.byref(size),
                                      ctypes.byref(plist)))
  
      module_obj = sys.modules[__name__]
      for i in range(size.value):
          hdl = FunctionHandle(plist[i])
          function = _make_torch_function(hdl)
          # if function name starts with underscore, register as static method of NDArray
          if function is not None:
              setattr(module_obj, function.__name__, function)
function_tokens: def _init_torch_module ( ) : plist = ctypes . POINTER ( FunctionHandle ) ( ) size = ctypes . c_uint ( ) check_call ( _LIB . MXListFunctions ( ctypes . byref ( size ) , ctypes . byref ( plist ) ) ) module_obj = sys . modules [ __name__ ] for i in range ( size . value ) : hdl = FunctionHandle ( plist [ i ] ) function = _make_torch_function ( hdl ) # if function name starts with underscore, register as static method of NDArray if function is not None : setattr ( module_obj , function . __name__ , function )