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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
IN = helper.make_tensor_value_info('in', TensorProto.FLOAT, [7])
OUT = helper.make_tensor_value_info('out', TensorProto.INT8, [7])
nodes = [
helper.make_node(
'Cast',
['in'],
['out'],
to=getattr(TensorProto, 'INT8'),
),
]
graph_def = helper.make_graph(
nodes,
'float_to_int8',
[IN],
[OUT],
)
model_def = helper.make_model(graph_def, producer_name='float_to_int8.py', opset_imports=[onnx.OperatorSetIdProto(version=13)])
onnx.save(model_def, 'float_to_int8.onnx')
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