Unable to convert large model from Keras

[emerzon]

While trying to convert from Keras, I get the following error:

Traceback (most recent call last):
  File "C:\Users\emers\OneDrive\Documents\Code\ml4\.conda\lib\site-packages\tf2onnx\tf_loader.py", line 218, in from_trackable
    frozen_graph = from_function(concrete_func, inputs, outputs, large_model)
  File "C:\Users\emers\OneDrive\Documents\Code\ml4\.conda\lib\site-packages\tf2onnx\tf_loader.py", line 277, in from_function
    raise e
  File "C:\Users\emers\OneDrive\Documents\Code\ml4\.conda\lib\site-packages\tf2onnx\tf_loader.py", line 270, in from_function
    frozen_func = convert_variables_to_constants_v2(func, lower_control_flow=False, aggressive_inlining=True)
  File "C:\Users\emers\OneDrive\Documents\Code\ml4\.conda\lib\site-packages\tensorflow\python\framework\convert_to_constants.py", line 1162, in convert_variables_to_constants_v2
    return _construct_concrete_function(func, output_graph_def,
  File "C:\Users\emers\OneDrive\Documents\Code\ml4\.conda\lib\site-packages\tensorflow\python\framework\convert_to_constants.py", line 1087, in _construct_concrete_function
    new_func = wrap_function.function_from_graph_def(output_graph_def,
  File "C:\Users\emers\OneDrive\Documents\Code\ml4\.conda\lib\site-packages\tensorflow\python\eager\wrap_function.py", line 655, in function_from_graph_def
    wrapped_import = wrap_function(_imports_graph_def, [])
  File "C:\Users\emers\OneDrive\Documents\Code\ml4\.conda\lib\site-packages\tensorflow\python\eager\wrap_function.py", line 619, in wrap_function
    func_graph.func_graph_from_py_func(
  File "C:\Users\emers\OneDrive\Documents\Code\ml4\.conda\lib\site-packages\tensorflow\python\framework\func_graph.py", line 1247, in func_graph_from_py_func
    func_outputs = python_func(*func_args, **func_kwargs)
  File "C:\Users\emers\OneDrive\Documents\Code\ml4\.conda\lib\site-packages\tensorflow\python\eager\wrap_function.py", line 83, in __call__
    return self.call_with_variable_creator_scope(self._fn)(*args, **kwargs)
  File "C:\Users\emers\OneDrive\Documents\Code\ml4\.conda\lib\site-packages\tensorflow\python\eager\wrap_function.py", line 89, in wrapped
    return fn(*args, **kwargs)
  File "C:\Users\emers\OneDrive\Documents\Code\ml4\.conda\lib\site-packages\tensorflow\python\eager\wrap_function.py", line 649, in _imports_graph_def
    importer.import_graph_def(graph_def, name="")
  File "C:\Users\emers\OneDrive\Documents\Code\ml4\.conda\lib\site-packages\tensorflow\python\util\deprecation.py", line 561, in new_func
    return func(*args, **kwargs)
  File "C:\Users\emers\OneDrive\Documents\Code\ml4\.conda\lib\site-packages\tensorflow\python\framework\importer.py", line 403, in import_graph_def
    return _import_graph_def_internal(
  File "C:\Users\emers\OneDrive\Documents\Code\ml4\.conda\lib\site-packages\tensorflow\python\framework\importer.py", line 497, in _import_graph_def_internal
    with c_api_util.tf_buffer(graph_def.SerializeToString()) as serialized:
ValueError: Message tensorflow.GraphDef exceeds maximum protobuf size of 2GB: 4797467584

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "C:\Users\emers\OneDrive\Documents\Code\ml4\ui\convert.py", line 8, in <module>
    onnx_model = onnxmltools.convert_keras(model)
  File "C:\Users\emers\OneDrive\Documents\Code\ml4\.conda\lib\site-packages\onnxmltools\convert\main.py", line 84, in convert_keras
    model_proto, external_tensor_storage = tf2onnx.convert.from_keras(
  File "C:\Users\emers\OneDrive\Documents\Code\ml4\.conda\lib\site-packages\tf2onnx\convert.py", line 497, in from_keras
    tf_loader.from_trackable(model, concrete_func, input_names, output_names, large_model)
  File "C:\Users\emers\OneDrive\Documents\Code\ml4\.conda\lib\site-packages\tf2onnx\tf_loader.py", line 221, in from_trackable
    raise ValueError(err_large_model)
ValueError: model exceeds maximum protobuf size of 2GB. Try setting large_model.

However, it's not possible to set the large_model=True parameter for tf2onnx - Which is always passed as false.