1 /*
2 * Copyright (C) 2019 The Android Open Source Project
3 *
4 * Licensed under the Apache License, Version 2.0 (the "License");
5 * you may not use this file except in compliance with the License.
6 * You may obtain a copy of the License at
7 *
8 * http://www.apache.org/licenses/LICENSE-2.0
9 *
10 * Unless required by applicable law or agreed to in writing, software
11 * distributed under the License is distributed on an "AS IS" BASIS,
12 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13 * See the License for the specific language governing permissions and
14 * limitations under the License.
15 */
16
17 #define LOG_TAG "TestControlFlow"
18
19 #include <android-base/logging.h>
20 #include <gtest/gtest.h>
21
22 #include "ControlFlow.h"
23 #include "TestNeuralNetworksWrapper.h"
24
25 namespace android {
26 namespace nn {
27 namespace {
28
29 using namespace test_wrapper;
30
31 constexpr uint64_t kMillisecondsInNanosecond = 1'000'000;
32 constexpr int32_t kNoActivation = ANEURALNETWORKS_FUSED_NONE;
33
34 class ControlFlowTest : public ::testing::Test {};
35
TEST_F(ControlFlowTest,InfiniteLoop)36 TEST_F(ControlFlowTest, InfiniteLoop) {
37 // Expected result: execution aborted after the specified timeout.
38 // Model: given n <= 1.0, never returns.
39 //
40 // i = 1.0
41 // while i >= n:
42 // i = i + 1.0
43
44 OperandType boolType(Type::TENSOR_BOOL8, {1});
45 OperandType activationType(Type::INT32, {});
46 OperandType counterType(Type::TENSOR_FLOAT32, {1});
47
48 Model conditionModel;
49 {
50 uint32_t i = conditionModel.addOperand(&counterType);
51 uint32_t n = conditionModel.addOperand(&counterType);
52 uint32_t out = conditionModel.addOperand(&boolType);
53 conditionModel.addOperation(ANEURALNETWORKS_GREATER_EQUAL, {i, n}, {out});
54 conditionModel.identifyInputsAndOutputs({i, n}, {out});
55 ASSERT_EQ(conditionModel.finish(), Result::NO_ERROR);
56 ASSERT_TRUE(conditionModel.isValid());
57 }
58
59 Model bodyModel;
60 {
61 uint32_t i = bodyModel.addOperand(&counterType);
62 uint32_t n = bodyModel.addOperand(&counterType);
63 uint32_t one = bodyModel.addConstantOperand(&counterType, 1.0f);
64 uint32_t noActivation = bodyModel.addConstantOperand(&activationType, kNoActivation);
65 uint32_t iOut = bodyModel.addOperand(&counterType);
66 bodyModel.addOperation(ANEURALNETWORKS_ADD, {i, one, noActivation}, {iOut});
67 bodyModel.identifyInputsAndOutputs({i, n}, {iOut});
68 ASSERT_EQ(bodyModel.finish(), Result::NO_ERROR);
69 ASSERT_TRUE(bodyModel.isValid());
70 }
71
72 Model model;
73 {
74 uint32_t iInit = model.addConstantOperand(&counterType, 1.0f);
75 uint32_t n = model.addOperand(&counterType);
76 uint32_t conditionOperand = model.addModelOperand(&conditionModel);
77 uint32_t bodyOperand = model.addModelOperand(&bodyModel);
78 uint32_t iOut = model.addOperand(&counterType);
79 model.addOperation(ANEURALNETWORKS_WHILE, {conditionOperand, bodyOperand, iInit, n},
80 {iOut});
81 model.identifyInputsAndOutputs({n}, {iOut});
82 ASSERT_EQ(model.finish(), Result::NO_ERROR);
83 ASSERT_TRUE(model.isValid());
84 }
85
86 Compilation compilation(&model);
87 ASSERT_EQ(compilation.finish(), Result::NO_ERROR);
88
89 float input = 0;
90 float output;
91 Execution execution(&compilation);
92 ASSERT_EQ(execution.setInput(0, &input), Result::NO_ERROR);
93 ASSERT_EQ(execution.setOutput(0, &output), Result::NO_ERROR);
94 ASSERT_EQ(execution.setLoopTimeout(1 * kMillisecondsInNanosecond), Result::NO_ERROR);
95 Result result = execution.compute();
96 ASSERT_TRUE(result == Result::MISSED_DEADLINE_TRANSIENT ||
97 result == Result::MISSED_DEADLINE_PERSISTENT)
98 << "result = " << static_cast<int>(result);
99 }
100
TEST_F(ControlFlowTest,GetLoopTimeouts)101 TEST_F(ControlFlowTest, GetLoopTimeouts) {
102 uint64_t defaultTimeout = ANeuralNetworks_getDefaultLoopTimeout();
103 uint64_t maximumTimeout = ANeuralNetworks_getMaximumLoopTimeout();
104 ASSERT_EQ(defaultTimeout, operation_while::kTimeoutNsDefault);
105 ASSERT_EQ(maximumTimeout, operation_while::kTimeoutNsMaximum);
106 }
107
108 } // end namespace
109 } // namespace nn
110 } // namespace android
111