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
90
91
92
93
94
95
|
/*
* Copyright (c) 2022 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 <gtest/gtest.h>
#include "DepthParameterizer.h"
#include <core/TestHelper.h>
#include <luci/IR/CircleNodes.h>
namespace
{
class NConvGraph final : public SimpleGraph
{
protected:
loco::Node *insertGraphBody(loco::Node *input) override
{
_filter = _g->nodes()->create<luci::CircleConst>();
_filter->dtype(loco::DataType::FLOAT32);
_filter->shape({_channel_size, 1, 1, _channel_size});
_filter->name("conv_filter");
_bias = _g->nodes()->create<luci::CircleConst>();
_bias->dtype(loco::DataType::FLOAT32);
_bias->shape({_channel_size});
_bias->name("conv_bias");
_conv = _g->nodes()->create<luci::CircleConv2D>();
_conv->padding(luci::Padding::SAME);
_conv->fusedActivationFunction(luci::FusedActFunc::NONE);
_conv->dtype(loco::DataType::FLOAT32);
_conv->shape({1, _width, _height, _channel_size});
_conv->name("conv");
_conv->filter(_filter);
_conv->bias(_bias);
_conv->input(input);
return _conv;
}
public:
luci::CircleConv2D *_conv = nullptr;
luci::CircleConst *_filter = nullptr;
luci::CircleConst *_bias = nullptr;
};
} // namespace
TEST(CircleMPQSolverDepthParameteriserTest, verifyResultsTest)
{
auto m = luci::make_module();
NConvGraph g;
g.init();
auto conv = g._conv;
auto input = g._input;
auto output = g._output;
g.transfer_to(m.get());
mpqsolver::bisection::NodeDepthType nodes_depth;
float min_depth = std::numeric_limits<float>().max();
float max_depth = -std::numeric_limits<float>().max();
auto status = mpqsolver::bisection::compute_depth(m.get(), nodes_depth, min_depth, max_depth);
EXPECT_TRUE(status == mpqsolver::bisection::ParameterizerResult::SUCCESS);
EXPECT_TRUE(max_depth == 2 && min_depth == 0);
EXPECT_TRUE(nodes_depth[input] == min_depth);
EXPECT_TRUE(nodes_depth[conv] == 1);
EXPECT_TRUE(nodes_depth[output] == max_depth);
}
TEST(CircleMPQSolverDepthParameteriserTest, verifyResultsTest_NEG)
{
auto m = luci::make_module();
mpqsolver::bisection::NodeDepthType nodes_depth;
float min_depth = std::numeric_limits<float>().max();
float max_depth = -std::numeric_limits<float>().max();
auto status = mpqsolver::bisection::compute_depth(m.get(), nodes_depth, min_depth, max_depth);
EXPECT_TRUE(status == mpqsolver::bisection::ParameterizerResult::FAILURE);
}
|