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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
IN1 = helper.make_tensor_value_info('in1', TensorProto.FLOAT, [-1, 'inner'])
IN2 = helper.make_tensor_value_info('in2', TensorProto.FLOAT, ['outer', -1])
OUT1 = helper.make_tensor_value_info('out1', TensorProto.FLOAT, [-1, 'inner'])
OUT2 = helper.make_tensor_value_info('out2', TensorProto.FLOAT, ['outer', -1])
OUT3 = helper.make_tensor_value_info('out3', TensorProto.FLOAT, [-1, -1])
nodes = [
helper.make_node(
'Add',
['in1', 'in2'],
['out1'],
),
helper.make_node(
'Sub',
['in1', 'in2'],
['out2'],
),
helper.make_node(
'Mul',
['in1', 'in2'],
['out3'],
),
]
graph_def = helper.make_graph(
nodes,
'probe_model',
[IN1, IN2],
[OUT1, OUT2, OUT3],
)
model_def = helper.make_model(graph_def, producer_name='probe_model.py', opset_imports=[onnx.OperatorSetIdProto(version=12)])
onnx.save(model_def, 'probe_model.onnx')
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