code: def predict(self, input):
          
  
          assert self._mode == MpsGraphMode.Inference
          assert input.shape == self._ishape
  
          input_array = MpsFloatArray(input)
          result_handle = _ctypes.c_void_p()
          status_code = self._LIB.TCMPSPredictGraph(
              self.handle, input_array.handle, _ctypes.byref(result_handle))
  
          assert status_code == 0, "Error calling TCMPSPredictGraph"
          assert result_handle, "TCMPSPredictGraph unexpectedly returned NULL pointer"
  
          result = MpsFloatArray(result_handle)
          assert result.shape() == self._oshape
  
          return result
docs: Submits an input batch to the model. Returns a MpsFloatArray
          representing the model predictions. Calling asnumpy() on this value will
          wait for the batch to finish and yield the predictions as a numpy array.