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
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
|
/*
* Copyright (c) 2020 Samsung Electronics Co., Ltd. All Rights Reserved
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "passes/optimizations/DeadCodeElimination.h"
#include "mir/ops/AddOp.h"
#include "mir/ops/ConstantOp.h"
#include "mir/ops/InputOp.h"
#include "mir/ops/OutputOp.h"
#include <gtest/gtest.h>
namespace
{
using namespace nnc;
using namespace mir;
TEST(DeadCodeEliminationTest, RemovesSingleNodes)
{
Graph graph;
graph.create<ops::ConstantOp>(TensorVariant{DataType::FLOAT32, {}});
graph.create<ops::ConstantOp>(TensorVariant{DataType::FLOAT32, {}});
DeadCodeElimination pass;
pass.run(&graph);
ASSERT_EQ(graph.getNodes().size(), 0);
}
TEST(DeadCodeEliminationTest, RemovesChainedNodes)
{
Graph graph;
auto c1 = graph.create<ops::ConstantOp>(TensorVariant{DataType::FLOAT32, {}})->getOutput(0);
auto c2 = graph.create<ops::ConstantOp>(TensorVariant{DataType::FLOAT32, {}})->getOutput(0);
auto sum = graph.create<ops::AddOp>(c1, c2)->getOutput(0);
graph.create<ops::AddOp>(sum, sum);
DeadCodeElimination pass;
pass.run(&graph);
ASSERT_EQ(graph.getNodes().size(), 0);
}
TEST(DeadCodeEliminationTest, PreservesInputNode)
{
Graph graph;
graph.create<ops::InputOp>(TensorType{DataType::FLOAT32, {}});
DeadCodeElimination pass;
pass.run(&graph);
ASSERT_EQ(graph.getNodes().size(), 1);
}
TEST(DeadCodeEliminationTest, PreservesOutputNode)
{
Graph graph;
auto c = graph.create<ops::ConstantOp>(TensorVariant{DataType::FLOAT32, {}})->getOutput(0);
graph.create<ops::OutputOp>(c);
DeadCodeElimination pass;
pass.run(&graph);
ASSERT_EQ(graph.getNodes().size(), 2);
}
TEST(DeadCodeEliminationTest, PreservesUsedNodes)
{
Graph graph;
auto c1 = graph.create<ops::ConstantOp>(TensorVariant{DataType::FLOAT32, {}})->getOutput(0);
auto c2 = graph.create<ops::ConstantOp>(TensorVariant{DataType::FLOAT32, {}})->getOutput(0);
graph.create<ops::AddOp>(c1, c2);
graph.create<ops::OutputOp>(c1);
graph.create<ops::OutputOp>(c2);
DeadCodeElimination pass;
pass.run(&graph);
ASSERT_EQ(graph.getNodes().size(), 4);
}
} // unnamed namespace
|