Fix ModelWrapper method to preserve order of graph inputs and outputs#186
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maltanar merged 3 commits intofastmachinelearning:mainfrom Jun 6, 2025
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maltanar
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Thanks for catching and fixing this @auphelia ! I took the liberty to add a unit test that triggers the problem which addressed by this fix. |
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This PR fixes an issue with
set_tensor_shapeand the order of input and output tensors in the ONNX GraphProto. When setting the shape of these tensors, they used to be removed and then re-added, which potentially could mess up their order. This wasn't a problem for internal tensors (ValueInfo is unordered), but can lead to a reordering of graph.input or graph.output.In this PR, the code now fetches the current index of the tensor in graph.input or graph.output. It then inserts the updated tensor with its new shape back into the same spot, keeping the original order intact.