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Diffstat (limited to 'neuralnetworks/utils/common/test/ResilientPreparedModelTest.cpp')
-rw-r--r--neuralnetworks/utils/common/test/ResilientPreparedModelTest.cpp31
1 files changed, 31 insertions, 0 deletions
diff --git a/neuralnetworks/utils/common/test/ResilientPreparedModelTest.cpp b/neuralnetworks/utils/common/test/ResilientPreparedModelTest.cpp
index 6d86e10df2..d396ca88df 100644
--- a/neuralnetworks/utils/common/test/ResilientPreparedModelTest.cpp
+++ b/neuralnetworks/utils/common/test/ResilientPreparedModelTest.cpp
@@ -55,6 +55,7 @@ constexpr auto makeError = [](nn::ErrorStatus status) {
const auto kReturnGeneralFailure = makeError(nn::ErrorStatus::GENERAL_FAILURE);
const auto kReturnDeadObject = makeError(nn::ErrorStatus::DEAD_OBJECT);
+const auto kNoCreateReusableExecutionError = nn::GeneralResult<nn::SharedExecution>{};
const auto kNoExecutionError =
nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>>{};
const auto kNoFencedExecutionError =
@@ -231,6 +232,36 @@ TEST(ResilientPreparedModelTest, executeFencedDeadObjectSuccessfulRecovery) {
<< "Failed with " << result.error().code << ": " << result.error().message;
}
+TEST(ResilientPreparedModelTest, createReusableExecution) {
+ // setup call
+ const auto [mockPreparedModel, mockPreparedModelFactory, preparedModel] = setup();
+ EXPECT_CALL(*mockPreparedModel, createReusableExecution(_, _, _))
+ .Times(1)
+ .WillOnce(Return(kNoCreateReusableExecutionError));
+
+ // run test
+ const auto result = preparedModel->createReusableExecution({}, {}, {});
+
+ // verify result
+ ASSERT_TRUE(result.has_value())
+ << "Failed with " << result.error().code << ": " << result.error().message;
+}
+
+TEST(ResilientPreparedModelTest, createReusableExecutionError) {
+ // setup call
+ const auto [mockPreparedModel, mockPreparedModelFactory, preparedModel] = setup();
+ EXPECT_CALL(*mockPreparedModel, createReusableExecution(_, _, _))
+ .Times(1)
+ .WillOnce(kReturnGeneralFailure);
+
+ // run test
+ const auto result = preparedModel->createReusableExecution({}, {}, {});
+
+ // verify result
+ ASSERT_FALSE(result.has_value());
+ EXPECT_EQ(result.error().code, nn::ErrorStatus::GENERAL_FAILURE);
+}
+
TEST(ResilientPreparedModelTest, getUnderlyingResource) {
// setup call
const auto [mockPreparedModel, mockPreparedModelFactory, preparedModel] = setup();