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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
INPUT1 = helper.make_tensor_value_info('input:0', TensorProto.FLOAT, [2])
INPUT2 = helper.make_tensor_value_info('input/1', TensorProto.FLOAT, [2])
OUTPUT1 = helper.make_tensor_value_info('foo/bar', TensorProto.FLOAT, [2])
OUTPUT2 = helper.make_tensor_value_info('-baz:0', TensorProto.FLOAT, [2])
nodes = [
helper.make_node(
'Add',
['input:0', 'input/1'],
['foo/bar'],
),
helper.make_node(
'Sub',
['input:0', 'input/1'],
['-baz:0'],
),
]
graph_def = helper.make_graph(
nodes,
'strange_names',
[
INPUT1,
INPUT2,
],
[
OUTPUT1,
OUTPUT2,
],
)
model_def = helper.make_model(graph_def, producer_name='strange_names.py', opset_imports=[onnx.OperatorSetIdProto(version=12)])
onnx.save(model_def, 'strange_names.onnx')
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