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[tools/onnx-subgraph] mse comparing of src model and multi sub models #14793

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Merged
seanshpark merged 3 commits into from
Mar 10, 2025
Merged

[tools/onnx-subgraph] mse comparing of src model and multi sub models #14793

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[tools/onnx-subgraph] mse comparing of src model and multi sub models
chenyx113 Mar 8, 2025
fd6ac44
format checking issue
chenyx113 Mar 8, 2025
386276d
Update single_vs_multiple_onnx.py
chenyx113 Mar 10, 2025
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20 changes: 20 additions & 0 deletions tools/onnx_subgraph/single_vs_multiple_onnx.py
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Original file line number Diff line number Diff line change
Expand Up @@ -140,6 +140,22 @@ def prepare_initial_input_data(onnx_model_path, default_input_data):
return initial_input_data


def compare_results(output_single, output_multiple):
"""
Compares the Mean Squared Error (MSE) between identically named outputs from
two inference result dictionaries.Ensures each output name is processed only once.
"""
all_keys = set(output_single.keys()).union(set(output_multiple.keys()))
for key in sorted(all_keys):
if key in output_single and key in output_multiple:
single_output = np.array(output_single[key])
multiple_output = np.array(output_multiple[key])
mse = np.mean((single_output - multiple_output)**2)
print(f"Output '{key}' MSE: {mse}")
else:
print(f"Output '{key}' is missing in one of the result sets.")


if __name__ == "__main__":
arg_parser = argparse.ArgumentParser()
arg_parser.add_argument('-s',
Expand Down Expand Up @@ -176,3 +192,7 @@ def prepare_initial_input_data(onnx_model_path, default_input_data):
output_multiple = model_inference.infer_multiple_onnx_models(
initial_input_data, output_names_list)
print("Multiple subgraph inference completed!")

print("Comparing inference results between single ONNX model \
and multiple subgraphs...")
compare_results(output_single, output_multiple)
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