1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
|
# SPDX-FileCopyrightText: Copyright 2023, Arm Limited and/or its affiliates.
# SPDX-License-Identifier: Apache-2.0
"""Tests for module mlia.nn.rewrite.graph_edit.join."""
from pathlib import Path
from mlia.nn.rewrite.core.graph_edit.cut import cut_model
from mlia.nn.rewrite.core.graph_edit.join import join_models
from mlia.nn.rewrite.core.utils.utils import load
from tests.utils.rewrite import models_are_equal
def test_join_model(test_tflite_model: Path, tmp_path: Path) -> None:
"""Test the function join_models()."""
# Cut model into two parts first
first_file = tmp_path / "first_part.tflite"
second_file = tmp_path / "second_part.tflite"
cut_model(
model_file=str(test_tflite_model),
input_names=["serving_default_input:0"],
output_names=["sequential/flatten/Reshape"],
subgraph_index=0,
output_file=str(first_file),
)
cut_model(
model_file=str(test_tflite_model),
input_names=["sequential/flatten/Reshape"],
output_names=["StatefulPartitionedCall:0"],
subgraph_index=0,
output_file=str(second_file),
)
assert first_file.is_file()
assert second_file.is_file()
joined_file = tmp_path / "joined.tflite"
# Now re-join the cut model and check the result is the same as the original
for in_src, in_dst in ((first_file, second_file), (second_file, first_file)):
join_models(
input_src=str(in_src),
input_dst=str(in_dst),
output_file=str(joined_file),
subgraph_src=0,
subgraph_dst=0,
)
assert joined_file.is_file()
orig_model = load(str(test_tflite_model))
joined_model = load(str(joined_file))
assert models_are_equal(orig_model, joined_model)
|