tensorflow: tflite_convert - ValueError: Invalid tensors 'input' were found.

System information

• Have I written custom code (as opposed to using a stock example script provided in TensorFlow): No
• OS Platform and Distribution (e.g., Linux Ubuntu 16.04): Window10
• Mobile device (e.g. iPhone 8, Pixel 2, Samsung Galaxy) if the issue happens on mobile device: No
• TensorFlow installed from (source or binary): pip install tensorflow
• TensorFlow version (use command below): 1.12
• Python version: 3.6.7
• Bazel version (if compiling from source): No
• GCC/Compiler version (if compiling from source): No
• CUDA/cuDNN version: No
• GPU model and memory: No

Describe the current behavior I want to convert mobilenet_v1_0.50_128 frozen graph using tflite_convert or toco to a TensorFlow Lite model, but I get the following error:

2019-02-20 16:09:37.352780: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2
Traceback (most recent call last):
  File "c:\users\alice\anaconda3\lib\runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)

  File "c:\users\alice\anaconda3\lib\runpy.py", line 85, in _run_code
    exec(code, run_globals)

  File "C:\Users\Alice\Anaconda3\Scripts\tflite_convert.exe\__main__.py", line 9, in <module>

  File "c:\users\alice\anaconda3\lib\site-packages\tensorflow\lite\python\tflite_convert.py", line 442, in main
    app.run(main=run_main, argv=sys.argv[:1])

  File "c:\users\alice\anaconda3\lib\site-packages\tensorflow\python\platform\app.py", line 40, in run
    _run(main=main, argv=argv, flags_parser=_parse_flags_tolerate_undef)

  File "c:\users\alice\anaconda3\lib\site-packages\absl\app.py", line 300, in run
    _run_main(main, args)

  File "c:\users\alice\anaconda3\lib\site-packages\absl\app.py", line 251, in _run_main
    sys.exit(main(argv))

  File "c:\users\alice\anaconda3\lib\site-packages\tensorflow\lite\python\tflite_convert.py", line 438, in run_main
    _convert_model(tflite_flags)

  File "c:\users\alice\anaconda3\lib\site-packages\tensorflow\lite\python\tflite_convert.py", line 122, in _convert_model
    converter = _get_toco_converter(flags)

  File "c:\users\alice\anaconda3\lib\site-packages\tensorflow\lite\python\tflite_convert.py", line 109, in _get_toco_converter
    return converter_fn(**converter_kwargs)

  File "c:\users\alice\anaconda3\lib\site-packages\tensorflow\lite\python\lite.py", line 387, in from_frozen_graph
    sess.graph, input_arrays)

  File "c:\users\alice\anaconda3\lib\site-packages\tensorflow\lite\python\convert_saved_model.py", line 189, in get_tensors_from_tensor_names
    ",".join(invalid_tensors)))

ValueError: Invalid tensors 'input' were found.

Code to reproduce the issue I run the following command: tflite_convert --output_file=tflite_convert --output_file=F:/mobilenet_v1_0.50_128/frozen_graph.tflite --graph_def_file=F:/mobilenet_v1_0.50_128/frozen_graph.pb --input_arrays=input --output_arrays=MobilenetV1/Predictions/Reshape_1