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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_1 = helper.make_tensor_value_info('input1', TensorProto.INT8, [1])
OUTPUT = helper.make_tensor_value_info('output', TensorProto.FLOAT, [1])
nodes = [
helper.make_node(
'Cast',
['input1'],
['output'],
to=TensorProto.FLOAT
),
]
graph_def = helper.make_graph(
nodes,
'cast',
[INPUT_1],
[OUTPUT],
)
model_def = helper.make_model(graph_def, producer_name='cast_int8_float.py', opset_imports=[onnx.OperatorSetIdProto(version=12)])
onnx.save(model_def, 'cast_int8_float.onnx')
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