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#!/usr/bin/env -S uv run
# /// script
# dependencies = [
# "onnx>=1.15.0",
# "numpy>=1.24.0",
# ]
# ///
"""
Generate ONNX model with node that has multiple outputs, but only some are used.
Tests:
- Type inference for unused outputs
- Edge case #28: Node with multiple outputs, only one used
"""
import onnx
from onnx import helper, TensorProto
import numpy as np
def create_node_multiple_outputs_partial_use_model():
"""Create model where a node has multiple outputs but only one is used."""
# Input
input_tensor = helper.make_tensor_value_info("input", TensorProto.FLOAT, [3, 4])
# Output (only one of TopK's two outputs)
output = helper.make_tensor_value_info("output", TensorProto.FLOAT, [3, 2])
# K value constant
k_value = helper.make_tensor(
name="k",
data_type=TensorProto.INT64,
dims=[],
vals=np.array([2], dtype=np.int64).tobytes(),
raw=True,
)
# TopK produces TWO outputs: values and indices
# But we only use the values output
nodes = [
# TopK has 2 outputs: [values, indices]
# We'll only use 'values' and ignore 'indices'
helper.make_node(
"TopK",
["input", "k"], # In opset 16, K is an input not attribute
["topk_values", "topk_indices"], # TWO outputs
name="topk",
axis=-1,
),
# Only use the 'values' output, 'indices' is unused
helper.make_node("Relu", ["topk_values"], ["output"], name="relu"),
]
# Create the graph
graph = helper.make_graph(
nodes,
"node_multiple_outputs_partial_use_model",
[input_tensor],
[output], # Note: topk_indices is NOT in outputs
initializer=[k_value],
)
# Create the model
model = helper.make_model(
graph, producer_name="onnx-ir-test", opset_imports=[helper.make_opsetid("", 16)]
)
# Check the model
onnx.checker.check_model(model)
return model
def main():
"""Generate and save the ONNX model."""
model = create_node_multiple_outputs_partial_use_model()
# Save the model
output_path = "../fixtures/node_multiple_outputs_partial_use.onnx"
onnx.save(model, output_path)
print(f"Model saved to {output_path}")
print(f"\nModel info:")
print(f" TopK node produces 2 outputs: values, indices")
print(f" Only 'values' output is used")
print(f" 'indices' output is unused (not consumed)")
print(f" Tests handling of unused node outputs")
if __name__ == "__main__":
main()