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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 = helper.make_tensor_value_info('input', TensorProto.FLOAT, [1])
OUTPUT = helper.make_tensor_value_info('out/layer/1:1', TensorProto.FLOAT, [1])
nodes = [
helper.make_node(
'Sqrt',
['input'],
['out/layer/1:1'],
),
]
graph_def = helper.make_graph(
nodes,
'sqrt',
[INPUT],
[OUTPUT],
)
model_def = helper.make_model(graph_def, producer_name='sqrt.py', opset_imports=[onnx.OperatorSetIdProto(version=12)])
onnx.save(model_def, 'sqrt.onnx')
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