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 <ControlFlow.h>
20 #include <android-base/logging.h>
21 #include <gtest/gtest.h>
22
23 #include "TestNeuralNetworksWrapper.h"
24
25 namespace android::nn {
26 namespace {
27
28 using test_wrapper::Compilation;
29 using test_wrapper::Execution;
30 using test_wrapper::Model;
31 using test_wrapper::OperandType;
32 using test_wrapper::Result;
33 using test_wrapper::Type;
34
35 constexpr uint64_t kMillisecondsInNanosecond = 1'000'000;
36 constexpr int32_t kNoActivation = ANEURALNETWORKS_FUSED_NONE;
37
38 class ControlFlowTest : public ::testing::Test {};
39
TEST_F(ControlFlowTest,InfiniteLoop)40 TEST_F(ControlFlowTest, InfiniteLoop) {
41 // Expected result: execution aborted after the specified timeout.
42 // Model: given n <= 1.0, never returns.
43 //
44 // i = 1.0
45 // while i >= n:
46 // i = i + 1.0
47
48 OperandType boolType(Type::TENSOR_BOOL8, {1});
49 OperandType activationType(Type::INT32, {});
50 OperandType counterType(Type::TENSOR_FLOAT32, {1});
51
52 Model conditionModel;
53 {
54 uint32_t i = conditionModel.addOperand(&counterType);
55 uint32_t n = conditionModel.addOperand(&counterType);
56 uint32_t out = conditionModel.addOperand(&boolType);
57 conditionModel.addOperation(ANEURALNETWORKS_GREATER_EQUAL, {i, n}, {out});
58 conditionModel.identifyInputsAndOutputs({i, n}, {out});
59 ASSERT_EQ(conditionModel.finish(), Result::NO_ERROR);
60 ASSERT_TRUE(conditionModel.isValid());
61 }
62
63 Model bodyModel;
64 {
65 uint32_t i = bodyModel.addOperand(&counterType);
66 uint32_t n = bodyModel.addOperand(&counterType);
67 uint32_t one = bodyModel.addConstantOperand(&counterType, 1.0f);
68 uint32_t noActivation = bodyModel.addConstantOperand(&activationType, kNoActivation);
69 uint32_t iOut = bodyModel.addOperand(&counterType);
70 bodyModel.addOperation(ANEURALNETWORKS_ADD, {i, one, noActivation}, {iOut});
71 bodyModel.identifyInputsAndOutputs({i, n}, {iOut});
72 ASSERT_EQ(bodyModel.finish(), Result::NO_ERROR);
73 ASSERT_TRUE(bodyModel.isValid());
74 }
75
76 Model model;
77 {
78 uint32_t iInit = model.addConstantOperand(&counterType, 1.0f);
79 uint32_t n = model.addOperand(&counterType);
80 uint32_t conditionOperand = model.addModelOperand(&conditionModel);
81 uint32_t bodyOperand = model.addModelOperand(&bodyModel);
82 uint32_t iOut = model.addOperand(&counterType);
83 model.addOperation(ANEURALNETWORKS_WHILE, {conditionOperand, bodyOperand, iInit, n},
84 {iOut});
85 model.identifyInputsAndOutputs({n}, {iOut});
86 ASSERT_EQ(model.finish(), Result::NO_ERROR);
87 ASSERT_TRUE(model.isValid());
88 }
89
90 Compilation compilation(&model);
91 ASSERT_EQ(compilation.finish(), Result::NO_ERROR);
92
93 float input = 0;
94 float output;
95 Execution execution(&compilation);
96 ASSERT_EQ(execution.setInput(0, &input), Result::NO_ERROR);
97 ASSERT_EQ(execution.setOutput(0, &output), Result::NO_ERROR);
98 ASSERT_EQ(execution.setLoopTimeout(1 * kMillisecondsInNanosecond), Result::NO_ERROR);
99 Result result = execution.compute();
100 ASSERT_TRUE(result == Result::MISSED_DEADLINE_TRANSIENT ||
101 result == Result::MISSED_DEADLINE_PERSISTENT)
102 << "result = " << static_cast<int>(result);
103 }
104
TEST_F(ControlFlowTest,GetLoopTimeouts)105 TEST_F(ControlFlowTest, GetLoopTimeouts) {
106 uint64_t defaultTimeout = ANeuralNetworks_getDefaultLoopTimeout();
107 uint64_t maximumTimeout = ANeuralNetworks_getMaximumLoopTimeout();
108 ASSERT_EQ(defaultTimeout, operation_while::kTimeoutNsDefault);
109 ASSERT_EQ(maximumTimeout, operation_while::kTimeoutNsMaximum);
110 }
111
112 } // end namespace
113 } // namespace android::nn
114