model_analyzer: Fail to analyze ensemble model: "inference.ModelConfig" should not have multiple "scheduling_choice" oneof fields

When I use model-analyzer to analyze a ensemble model with local luanch mode, it always fails with following error:

root@dl:/inference# model-analyzer profile --checkpoint-directory checkpoints -m $PWD/model_repo --profile-models quartznet-ensemble --output-model-repository-path=/output_repo/temp --override-output-model-repository --client-protocol grpc --run-config-search-max-concurrency 800 --run-config-search-max-instance-count 2 --run-config-search-max-preferred-batch-size 64

Traceback (most recent call last):
  File "/usr/local/lib/python3.8/dist-packages/google/protobuf/json_format.py", line 538, in _ConvertFieldValuePair
    raise ParseError('Message type "{0}" should not have multiple '
google.protobuf.json_format.ParseError: Message type "inference.ModelConfig" should not have multiple "scheduling_choice" oneof fields.

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/usr/local/bin/model-analyzer", line 8, in <module>
    sys.exit(main())
  File "/usr/local/lib/python3.8/dist-packages/model_analyzer/entrypoint.py", line 315, in main
    analyzer.profile(client=client)
  File "/usr/local/lib/python3.8/dist-packages/model_analyzer/analyzer.py", line 104, in profile
    self._model_manager.run_model(model=model)
  File "/usr/local/lib/python3.8/dist-packages/model_analyzer/model_manager.py", line 84, in run_model
    self._run_model_with_search(model)
  File "/usr/local/lib/python3.8/dist-packages/model_analyzer/model_manager.py", line 138, in _run_model_with_search
    self._run_model_config_sweep(model, search_model_config=True)
  File "/usr/local/lib/python3.8/dist-packages/model_analyzer/model_manager.py", line 167, in _run_model_config_sweep
    self._run_config_generator.generate_run_config_for_model_sweep(
  File "/usr/local/lib/python3.8/dist-packages/model_analyzer/config/run/run_config_generator.py", line 98, in generate_run_config_for_model_sweep
    model_config = ModelConfig.create_from_dictionary(
  File "/usr/local/lib/python3.8/dist-packages/model_analyzer/triton/model/model_config.py", line 117, in create_from_dictionary
    protobuf_message = json_format.ParseDict(model_dict,
  File "/usr/local/lib/python3.8/dist-packages/google/protobuf/json_format.py", line 454, in ParseDict
    parser.ConvertMessage(js_dict, message)
  File "/usr/local/lib/python3.8/dist-packages/google/protobuf/json_format.py", line 485, in ConvertMessage
    self._ConvertFieldValuePair(value, message)
  File "/usr/local/lib/python3.8/dist-packages/google/protobuf/json_format.py", line 599, in _ConvertFieldValuePair
    raise ParseError(str(e))
google.protobuf.json_format.ParseError: Message type "inference.ModelConfig" should not have multiple "scheduling_choice" oneof fields.

The model repository I used can be downloaded here.