summaryrefslogtreecommitdiff
path: root/runtimes/neurun/test/graph/verifier/Verifier.cc
blob: a37b0ac1fdab4b7958597fe79fe54f800013dc3c (plain)
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
/*
 * Copyright (c) 2018 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 "model/operation/Node.h"
#include "graph/Graph.h"
#include "graph/verifier/Verifier.h"
#include "cpp14/memory.h"
#include "model/operand/Object.h"
#include "../MockNode.h"

using IndexSet = neurun::model::operand::IndexSet;
using MockNode = neurun_test::graph::SimpleMockNode;

TEST(Verifier, dag_checker)
{
  neurun::graph::Graph graph;
  neurun::graph::verifier::DAGChecker verifier;

  ::neurun::model::operand::Shape shape{1u};
  ::neurun::model::operand::TypeInfo type{ANEURALNETWORKS_TENSOR_INT32, 0, 0};
  shape.dim(0) = 3;

  auto operand1 = graph.addOperand(shape, type);
  auto operand2 = graph.addOperand(shape, type);

  graph.addInput(operand1);
  graph.operands().at(operand1).setAsModelInput();
  graph.addOutput(operand2);
  graph.operands().at(operand2).setAsOperationOutput();

  graph.addOperation(nnfw::cpp14::make_unique<MockNode>(IndexSet{operand1}, IndexSet{operand2}));

  graph.finishBuilding();

  ASSERT_EQ(verifier.verify(graph), true);
}