onnx_input len =  98

  0%|                                                                                                                                                                    | 0/3 [00:00<?, ?it/s]

Process Process-1:

Traceback (most recent call last):

  File "/opt/miniconda3/lib/python3.7/multiprocessing/process.py", line 297, in _bootstrap

    self.run()

  File "/opt/miniconda3/lib/python3.7/multiprocessing/process.py", line 99, in run

    self._target(*self._args, **self._kwargs)

  File "main.py", line 14, in run

    model = T5Model()

  File "/data/zzz/ascend-devkit/src/E2E-Sample/ChatBot/Demo_V2/generate.py", line 49, in __init__

    self.warmup()

  File "/data/zzz/ascend-devkit/src/E2E-Sample/ChatBot/Demo_V2/generate.py", line 53, in warmup

    self.generate_ss_mode('你好', None)

日志如下： 

File "/data/zzz/ascend-devkit/src/E2E-Sample/ChatBot/Demo_V2/generate.py", line 93, in generate_ss_mode

    outputs = self.decoder_iter.run(None, onnx_input)

  File "/opt/miniconda3/lib/python3.7/site-packages/onnxruntime/capi/onnxruntime_inference_collection.py", line 196, in run

    raise ValueError("Model requires {} inputs. Input Feed contains {}".format(num_required_inputs, num_inputs))

ValueError: Model requires 99 inputs. Input Feed contains 98

[INFO] unload model success, model Id is 1