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# Copyright (c) Microsoft Corporation.
# Licensed under the MIT License.
import pathlib
import unittest
import onnx
from onnxscript import ir
class GraphViewTest(unittest.TestCase):
def test_it_can_be_serialized_as_graph_proto(self):
data_path = (
pathlib.Path(__file__).parent.parent.parent
/ "testdata/e2e_models/torchscript_model/torchscript_model.onnx"
)
model_proto = onnx.load(data_path)
model = ir.serde.deserialize_model(model_proto)
# Obtain a subset of nodes that belong to the first layer
nodes = [
node
for node in model.graph
if node.name is not None and node.name.startswith("/model/layers.0")
]
inputs = set()
outputs = set()
for node in nodes:
inputs.update(node.inputs)
outputs.update(node.outputs)
graph_inputs = sorted(inputs - outputs, key=lambda val: val.name)
graph_outputs = sorted(outputs - inputs, key=lambda val: val.name)
graph_view = ir.GraphView(graph_inputs, graph_outputs, nodes=nodes)
model = ir.Model(graph_view, ir_version=8)
_ = ir.serde.serialize_model(model)
# It should succeed
if __name__ == "__main__":
unittest.main()
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