code: def reshape(self, input_shapes):
          
          indptr = [0]
          sdata = []
          keys = []
          for k, v  in input_shapes.items():
              if not isinstance(v, tuple):
                  raise ValueError("Expect input_shapes to be dict str->tuple")
              keys.append(c_str(k))
              sdata.extend(v)
              indptr.append(len(sdata))
  
          new_handle = PredictorHandle()
          _check_call(_LIB.MXPredReshape(
              mx_uint(len(indptr) - 1),
              c_array(ctypes.c_char_p, keys),
              c_array(mx_uint, indptr),
              c_array(mx_uint, sdata),
              self.handle,
              ctypes.byref(new_handle)))
          _check_call(_LIB.MXPredFree(self.handle))
          self.handle = new_handle
docs: Change the input shape of the predictor.
  
          Parameters
          ----------
          input_shapes : dict of str to tuple
              The new shape of input data.
  
          Examples
          --------
          >>> predictor.reshape({'data':data_shape_tuple})