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# Copyright Yahoo. 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, ['batch1'])
IN2 = helper.make_tensor_value_info('in2', TensorProto.FLOAT, ['batch2'])
OUT = helper.make_tensor_value_info('out', TensorProto.FLOAT, ['batch3'])
nodes = [
helper.make_node(
'Add',
['in1', 'in2'],
['out'],
),
]
graph_def = helper.make_graph(
nodes,
'guess_batch',
[
IN1,
IN2,
],
[OUT],
)
model_def = helper.make_model(graph_def, producer_name='guess_batch.py', opset_imports=[onnx.OperatorSetIdProto(version=12)])
onnx.save(model_def, 'guess_batch.onnx')
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