def test_lstm_input_3_5_10_is_10_hs_12_nl_2_batch_first_true():
        fact = LSTMFactory(input_np=(3, 5, 10), input_s=10, hidden_s=12, num_layers=2, has_bias=True, batch_first=True, dropout=0.0, bidirectional=False)
        fact.forward_cmp()
>       fact.grad_cmp()

test_lstm.py:19:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
../share/ops/lstm_ops.py:258: in grad_cmp
    out_mindspore = self.grad_mindspore_impl()
../share/ops/lstm_ops.py:154: in grad_mindspore_impl
    input_grad = grad_net_inp(input, h, c, (out_grad_np1,(out_grad_np2,out_grad_np3)))
/root/miniconda3/envs/liwuxia_gpu/lib/python3.7/site-packages/mindspore/nn/cell.py:145: in __call__
    out = self.compile_and_run(*inputs)
/root/miniconda3/envs/liwuxia_gpu/lib/python3.7/site-packages/mindspore/nn/cell.py:300: in compile_and_run
    auto_parallel_mode=self._auto_parallel_mode)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

self = <mindspore.common.api._Executor object at 0x7f57e40e7b90>, obj = GradOfAllInputsAndParams<
  (network): WrapOp<
    (lstm): LSTM<>
    >
  >
phase = '1train.1589871176618935808', params = None, do_convert = True, auto_parallel_mode = False

    def compile(self, obj, *args, phase='predict', params=None, do_convert=True, auto_parallel_mode=False):
        """
        Compiles graph.

        Args:
            obj (Function/Cell): The function or cell instance need compile.
            args (tuple): Function or cell input arguments.
            phase (str): The name of compile phase. Default: 'predict'.
            params (OrderedDict): The parameters dictionary used for init data graph. Default: None.
            do_convert (bool): When set to True, convert ME graph to GE graph after compiling graph.
            auto_parallel_mode: When set to True, use auto parallel mode to compile graph.

        Return:
            Str, the full phase of the cell.
            Bool, if the graph has been compiled before, return False, else return True.
        """
        obj.check_names()
        args_names, args_list = _generate_pip_args(obj, *args)
        dic = dict(zip(args_names, args_list))
        key = generate_key(phase, dic)
        self.phase_prefix = str(key[1])
        if phase == 'export':
            phase = phase + '.' + str(obj.create_time)
        else:
            phase = self.phase_prefix + phase + '.' + str(obj.create_time)
        enable_debug_runtime = context.get_context("enable_debug_runtime")
        enable_ge = context.get_context("enable_ge")

        use_vm = not enable_ge or (enable_debug_runtime and context.get_context("mode") == context.PYNATIVE_MODE)

        if phase in self.compile_cache.keys():
            logger.debug("%r graph has existed.", phase)
            return phase, False

>       result = self._executor.compile(obj, args_list, phase, use_vm)
E       RuntimeError: mindspore/ccsrc/ir/dtype.cc:329 TypeIdToType] Not support the type: 14