update convert_full_model.py

[xoqhdgh1002]

No description provided.

[xoqhdgh1002]

Traceback (most recent call last):
  File "/home/btae/workspace/test/convert_full_model.py", line 71, in <module>
    hls_model = hls4ml.converters.convert_from_keras_model(model,**convert_options,output_dir=output_dir)
  File "/home/btae/Downloads/hls4ml/hls4ml/converters/__init__.py", line 234, in convert_from_keras_model
    return keras_to_hls(config)
  File "/home/btae/Downloads/hls4ml/hls4ml/converters/keras_to_hls.py", line 335, in keras_to_hls
    hls_model = ModelGraph(config, layer_list, input_layers, output_layers)
  File "/home/btae/Downloads/hls4ml/hls4ml/model/graph.py", line 347, in __init__
    raise RuntimeError(
RuntimeError: Currently only support the case when input variables and input layer names match
Input layers = ['input_cont', 'input_pxpy', 'input_cat0', 'input_cat1'], input_vars = ['input_cat0', 'input_cat1', 'input_cont', 'input_pxpy']

When I ran my code, I got this error message. Have you got the same error, or do you have any ideas about this?

[jmduarte]

@xoqhdgh1002 can you share how you reproduce this error? I have seen the error before. It has to do with how hls4ml parses the inputs to a model (and they seemingly become out of order). I thought we resolved it in a more recent hls4ml version.