Add setLoopTimeout CTS test

Also tests getDefaultLoopTimeout and getMaximumLoopTimeout.

Bug: 145906499
Bug: 136735929
Test: NNT_static
Change-Id: I1968fe97c6b3f51e9950d17abdc06a764a27c517

1 files changed, 110 insertions, 0 deletions

diff --git a/nn/runtime/test/TestControlFlow.cpp b/nn/runtime/test/TestControlFlow.cpp
new file mode 100644
index 000000000..dc7a09932
--- /dev/null
+++ b/nn/runtime/test/TestControlFlow.cpp
@@ -0,0 +1,110 @@
+/*
+ * Copyright (C) 2019 The Android Open Source Project
+ *
+ * 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.
+ */
+
+#define LOG_TAG "TestControlFlow"
+
+#include <android-base/logging.h>
+#include <gtest/gtest.h>
+
+#include "ControlFlow.h"
+#include "TestNeuralNetworksWrapper.h"
+
+namespace android {
+namespace nn {
+namespace {
+
+using namespace test_wrapper;
+
+constexpr uint64_t kMillisecondsInNanosecond = 1'000'000;
+constexpr int32_t kNoActivation = ANEURALNETWORKS_FUSED_NONE;
+
+class ControlFlowTest : public ::testing::Test {};
+
+TEST_F(ControlFlowTest, InfiniteLoop) {
+    // Expected result: execution aborted after the specified timeout.
+    // Model: given n <= 1.0, never returns.
+    //
+    // i = 1.0
+    // while i >= n:
+    //     i = i + 1.0
+
+    OperandType boolType(Type::TENSOR_BOOL8, {1});
+    OperandType activationType(Type::INT32, {});
+    OperandType counterType(Type::TENSOR_FLOAT32, {1});
+
+    Model conditionModel;
+    {
+        uint32_t i = conditionModel.addOperand(&counterType);
+        uint32_t n = conditionModel.addOperand(&counterType);
+        uint32_t out = conditionModel.addOperand(&boolType);
+        conditionModel.addOperation(ANEURALNETWORKS_GREATER_EQUAL, {i, n}, {out});
+        conditionModel.identifyInputsAndOutputs({i, n}, {out});
+        ASSERT_EQ(conditionModel.finish(), Result::NO_ERROR);
+        ASSERT_TRUE(conditionModel.isValid());
+    }
+
+    Model bodyModel;
+    {
+        uint32_t i = bodyModel.addOperand(&counterType);
+        uint32_t n = bodyModel.addOperand(&counterType);
+        uint32_t one = bodyModel.addConstantOperand(&counterType, 1.0f);
+        uint32_t noActivation = bodyModel.addConstantOperand(&activationType, kNoActivation);
+        uint32_t iOut = bodyModel.addOperand(&counterType);
+        bodyModel.addOperation(ANEURALNETWORKS_ADD, {i, one, noActivation}, {iOut});
+        bodyModel.identifyInputsAndOutputs({i, n}, {iOut});
+        ASSERT_EQ(bodyModel.finish(), Result::NO_ERROR);
+        ASSERT_TRUE(bodyModel.isValid());
+    }
+
+    Model model;
+    {
+        uint32_t iInit = model.addConstantOperand(&counterType, 1.0f);
+        uint32_t n = model.addOperand(&counterType);
+        uint32_t conditionOperand = model.addModelOperand(&conditionModel);
+        uint32_t bodyOperand = model.addModelOperand(&bodyModel);
+        uint32_t iOut = model.addOperand(&counterType);
+        model.addOperation(ANEURALNETWORKS_WHILE, {conditionOperand, bodyOperand, iInit, n},
+                           {iOut});
+        model.identifyInputsAndOutputs({n}, {iOut});
+        ASSERT_EQ(model.finish(), Result::NO_ERROR);
+        ASSERT_TRUE(model.isValid());
+    }
+
+    Compilation compilation(&model);
+    ASSERT_EQ(compilation.finish(), Result::NO_ERROR);
+
+    float input = 0;
+    float output;
+    Execution execution(&compilation);
+    ASSERT_EQ(execution.setInput(0, &input), Result::NO_ERROR);
+    ASSERT_EQ(execution.setOutput(0, &output), Result::NO_ERROR);
+    ASSERT_EQ(execution.setLoopTimeout(1 * kMillisecondsInNanosecond), Result::NO_ERROR);
+    Result result = execution.compute();
+    ASSERT_TRUE(result == Result::MISSED_DEADLINE_TRANSIENT ||
+                result == Result::MISSED_DEADLINE_PERSISTENT)
+            << "result = " << static_cast<int>(result);
+}
+
+TEST_F(ControlFlowTest, GetLoopTimeouts) {
+    uint64_t defaultTimeout = ANeuralNetworks_getDefaultLoopTimeout();
+    uint64_t maximumTimeout = ANeuralNetworks_getMaximumLoopTimeout();
+    ASSERT_EQ(defaultTimeout, operation_while::kTimeoutNsDefault);
+    ASSERT_EQ(maximumTimeout, operation_while::kTimeoutNsMaximum);
+}
+
+}  // end namespace
+}  // namespace nn
+}  // namespace android