# 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('foo', TensorProto.FLOAT, [1])
INPUT_2 = helper.make_tensor_value_info('baz', TensorProto.FLOAT, [1])
OUTPUT = helper.make_tensor_value_info('bar', TensorProto.FLOAT, [1])

nodes = [
    helper.make_node(
        'Mul',
        ['foo', 'baz'],
        ['bat'],
    ),
]
graph_def = helper.make_graph(
    nodes,
    'mul',
    [
        INPUT_1,
        INPUT_2
    ],
    [OUTPUT],
)
model_def = helper.make_model(graph_def, producer_name='foobar.py', opset_imports=[onnx.OperatorSetIdProto(version=12)])
onnx.save(model_def, 'foobar.onnx')