Building prefix dict from the default dictionary ...
Loading model from cache /tmp/jieba.cache
Loading model cost 0.619 seconds.
Prefix dict has been built successfully.
The following parameters in checkpoint files are not loaded:
['embeddings.position_ids']
The following parameters in models are missing parameter:
['qa_outputs.weight', 'qa_outputs.bias']
[ERROR] PIPELINE(3792830,7fd2f04f54c0,python):2024-04-12-21:42:20.160.153 [mindspore/ccsrc/pipeline/jit/ps/fallback.cc:494] GeneratePyExecuteNodeWithScriptSrc] Not found PyExecute input. script: out, _ = dropout_op(input)
Traceback (most recent call last):
  File "/home/daiyuxin/neoming_convbert/dev/mindnlp/llm/parallel/convbert/train.py", line 104, in <module>
    main(args)
  File "/home/daiyuxin/neoming_convbert/dev/mindnlp/llm/parallel/convbert/train.py", line 69, in main
    model.build(ds, epoch=args.num_epochs)
  File "/home/daiyuxin/miniconda3/envs/neoming_convbert/lib/python3.9/site-packages/mindspore/train/model.py", line 1274, in build
    self._init(train_dataset, valid_dataset, sink_size, epoch)
  File "/home/daiyuxin/miniconda3/envs/neoming_convbert/lib/python3.9/site-packages/mindspore/train/model.py", line 529, in _init
    train_network.compile(*inputs)
  File "/home/daiyuxin/miniconda3/envs/neoming_convbert/lib/python3.9/site-packages/mindspore/nn/cell.py", line 997, in compile
    _cell_graph_executor.compile(self, phase=self.phase,
  File "/home/daiyuxin/miniconda3/envs/neoming_convbert/lib/python3.9/site-packages/mindspore/common/api.py", line 1547, in compile
    result = self._graph_executor.compile(obj, args, kwargs, phase, self._use_vm_mode())
RuntimeError: In the inputs of operation 'getitem', there are unsupported syntax in graph mode. Those codes would be fallen back to python interpreter, which is not supported for operation 'getitem'.

----------------------------------------------------
- C++ Call Stack: (For framework developers)
----------------------------------------------------
mindspore/ccsrc/frontend/operator/composite/multitype_funcgraph.cc:194 PrintMatchFailLog

----------------------------------------------------
- The Traceback of Net Construct Code:
----------------------------------------------------
# 0 In file /home/daiyuxin/miniconda3/envs/neoming_convbert/lib/python3.9/site-packages/mindspore/train/dataset_helper.py:103
        return self.network(*outputs)
               ^
# 1 In file /home/daiyuxin/miniconda3/envs/neoming_convbert/lib/python3.9/site-packages/mindspore/nn/wrap/cell_wrapper.py:417
        if not self.sense_flag:
# 2 In file /home/daiyuxin/miniconda3/envs/neoming_convbert/lib/python3.9/site-packages/mindspore/nn/wrap/cell_wrapper.py:418
            return self._no_sens_impl(*inputs)
                   ^
# 3 In file /home/daiyuxin/miniconda3/envs/neoming_convbert/lib/python3.9/site-packages/mindspore/nn/wrap/cell_wrapper.py:437
        if self.return_grad:
# 4 In file /home/daiyuxin/miniconda3/envs/neoming_convbert/lib/python3.9/site-packages/mindspore/nn/wrap/cell_wrapper.py:433
        loss = self.network(*inputs)
               ^
# 5 In file /home/daiyuxin/neoming_convbert/dev/mindnlp/llm/parallel/convbert/train.py:42
        output = self._backbone(
# 6 In file /home/daiyuxin/miniconda3/envs/neoming_convbert/lib/python3.9/site-packages/mindnlp/transformers/models/convbert/graph_convbert.py:576
        outputs = self.convbert(
# 7 In file /home/daiyuxin/miniconda3/envs/neoming_convbert/lib/python3.9/site-packages/mindnlp/transformers/models/convbert/graph_convbert.py:543
        hidden_states = self.encoder(
# 8 In file /home/daiyuxin/miniconda3/envs/neoming_convbert/lib/python3.9/site-packages/mindnlp/transformers/models/convbert/graph_convbert.py:543
        hidden_states = self.encoder(
                        ^
# 9 In file /home/daiyuxin/miniconda3/envs/neoming_convbert/lib/python3.9/site-packages/mindnlp/transformers/models/convbert/graph_convbert.py:485
        for i, layer_cell in enumerate(self.layer):
        ^
# 10 In file /home/daiyuxin/miniconda3/envs/neoming_convbert/lib/python3.9/site-packages/mindnlp/transformers/models/convbert/graph_convbert.py:487
            layer_outputs = layer_cell(
# 11 In file /home/daiyuxin/miniconda3/envs/neoming_convbert/lib/python3.9/site-packages/mindnlp/transformers/models/convbert/graph_convbert.py:444
        self_attention_outputs = self.attention(
# 12 In file /home/daiyuxin/miniconda3/envs/neoming_convbert/lib/python3.9/site-packages/mindnlp/transformers/models/convbert/graph_convbert.py:380
        self_outputs = self.self(
# 13 In file /home/daiyuxin/miniconda3/envs/neoming_convbert/lib/python3.9/site-packages/mindnlp/transformers/models/convbert/graph_convbert.py:297
        attention_probs = ops.dropout(attention_probs, p=self.dropout_p)
                          ^
# 14 In file /home/daiyuxin/miniconda3/envs/neoming_convbert/lib/python3.9/site-packages/mindspore/ops/function/nn_func.py:1287
    if training is False:
    ^
# 15 In file /home/daiyuxin/miniconda3/envs/neoming_convbert/lib/python3.9/site-packages/mindspore/ops/function/nn_func.py:1293
    out, _ = dropout_op(input)
    ^
 (See file '/home/daiyuxin/neoming_convbert/dev/mindnlp/llm/parallel/convbert/rank_0/om/analyze_fail.ir' for more details. Get instructions about `analyze_fail.ir` at https://www.mindspore.cn/search?inputValue=analyze_fail.ir)
[WARNING] MD(3792830,7fd2f04f54c0,python):2024-04-12-21:42:23.473.235 [mindspore/ccsrc/minddata/dataset/engine/datasetops/data_queue_op.cc:163] ~DataQueueOp]
preprocess_batch: 3;
batch_queue: 0, 0, 3, 2, 2, 1, 16;
            push_start_time -> push_end_time
2024-04-12-21:42:17.436.851 -> 2024-04-12-21:42:17.835.979
2024-04-12-21:42:17.836.002 -> 2024-04-12-21:42:17.836.285
2024-04-12-21:42:17.836.289 -> 2024-04-12-21:42:23.472.459
For more details, please refer to the FAQ at https://www.mindspore.cn/docs/en/master/faq/data_processing.html.