Node input 'X' is not a graph input, initializer, or output of a previous node.

[Onikage3x2]

Hi,

Today, while attempting to use a previously converted Keras model (.h5) to ONNX, specifically a DDRNet 23 Slim model, I encountered this error message. It appears that some inputs were marked as optional, leading to the following issue. Is there a way to set default values for these inputs or designate them as non-optional? I might be on the wrong path with this approach, so any assistance would be greatly appreciated.

Here's the full error message:
onnxruntime.capi.onnxruntime_pybind11_state.InvalidArgument: [ONNXRuntimeError] : 2 : INVALID_ARGUMENT : Invalid model. Node input 'model_1/add_29/add:0' is not a graph input, initializer, or output of a previous node.

Additional information:
ONNX version: 1.10
The Keras model was created with TensorFlow 2.5.

Edit:
Here is some more context.
The error comes after a successfull check: onnx.checker.check_model(onnx_model)
In line: session = onnxruntime.InferenceSession(model_path, providers=['CUDAExecutionProvider', 'CPUExecutionProvider'])

The input 'model_1/add_29/add:0' not a node, it's a connection.

[BEEugene]

Have you solved this issue?