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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('input1', TensorProto.FLOAT, [2, 3])
INPUT2 = helper.make_tensor_value_info('input2', TensorProto.FLOAT, [3, 4])
OUTPUT = helper.make_tensor_value_info('output', TensorProto.FLOAT, [2, 4])
nodes = [
helper.make_node(
'MatMul',
['input1', 'input2'],
['output'],
),
]
graph_def = helper.make_graph(
nodes,
'matmul',
[
INPUT1,
INPUT2,
],
[OUTPUT],
)
model_def = helper.make_model(graph_def, producer_name='matmul.py', opset_imports=[onnx.OperatorSetIdProto(version=12)])
onnx.save(model_def, 'matmul.onnx')
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