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# Copyright Vespa.ai. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
import onnx
from onnx import helper, TensorProto
INPUT_1 = helper.make_tensor_value_info('input1', TensorProto.FLOAT, [1])
INPUT_2 = helper.make_tensor_value_info('input2', TensorProto.FLOAT, [1])
OUTPUT_1 = helper.make_tensor_value_info('output1', TensorProto.FLOAT, [1])
OUTPUT_2 = helper.make_tensor_value_info('output2', TensorProto.FLOAT, [1])
nodes = [
helper.make_node(
'Mul',
['input1', 'input2'],
['output1'],
),
helper.make_node(
'Add',
['input1', 'input2'],
['output2'],
),
]
graph_def = helper.make_graph(
nodes,
'add_mul',
[INPUT_1, INPUT_2],
[OUTPUT_1, OUTPUT_2],
)
model_def = helper.make_model(graph_def, producer_name='add_mul.py', opset_imports=[onnx.OperatorSetIdProto(version=12)])
onnx.save(model_def, 'add_mul.onnx')
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