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-rw-r--r--neuralnetworks/1.2/utils/Android.bp15
-rw-r--r--neuralnetworks/1.2/utils/include/nnapi/hal/1.2/Burst.h9
-rw-r--r--neuralnetworks/1.2/utils/include/nnapi/hal/1.2/Conversions.h4
-rw-r--r--neuralnetworks/1.2/utils/include/nnapi/hal/1.2/Device.h5
-rw-r--r--neuralnetworks/1.2/utils/include/nnapi/hal/1.2/PreparedModel.h13
-rw-r--r--neuralnetworks/1.2/utils/src/Burst.cpp16
-rw-r--r--neuralnetworks/1.2/utils/src/Conversions.cpp6
-rw-r--r--neuralnetworks/1.2/utils/src/Device.cpp4
-rw-r--r--neuralnetworks/1.2/utils/src/PreparedModel.cpp21
-rw-r--r--neuralnetworks/1.2/utils/test/DeviceTest.cpp14
-rw-r--r--neuralnetworks/1.2/utils/test/PreparedModelTest.cpp44
11 files changed, 81 insertions, 70 deletions
diff --git a/neuralnetworks/1.2/utils/Android.bp b/neuralnetworks/1.2/utils/Android.bp
index 4eefb0f7dc..4c5f065dda 100644
--- a/neuralnetworks/1.2/utils/Android.bp
+++ b/neuralnetworks/1.2/utils/Android.bp
@@ -31,19 +31,14 @@ cc_library_static {
export_include_dirs: ["include"],
cflags: ["-Wthread-safety"],
static_libs: [
- "neuralnetworks_types",
- "neuralnetworks_utils_hal_common",
- "neuralnetworks_utils_hal_1_0",
- "neuralnetworks_utils_hal_1_1",
- ],
- shared_libs: [
"android.hardware.neuralnetworks@1.0",
"android.hardware.neuralnetworks@1.1",
"android.hardware.neuralnetworks@1.2",
"libfmq",
- ],
- export_static_lib_headers: [
+ "neuralnetworks_types",
"neuralnetworks_utils_hal_common",
+ "neuralnetworks_utils_hal_1_0",
+ "neuralnetworks_utils_hal_1_1",
],
product_variables: {
debuggable: { // eng and userdebug builds
@@ -71,7 +66,6 @@ cc_test {
"android.hardware.neuralnetworks@1.1",
"android.hardware.neuralnetworks@1.2",
"libgmock",
- "libneuralnetworks_common",
"neuralnetworks_types",
"neuralnetworks_utils_hal_common",
"neuralnetworks_utils_hal_1_0",
@@ -79,13 +73,10 @@ cc_test {
"neuralnetworks_utils_hal_1_2",
],
shared_libs: [
- "android.hidl.allocator@1.0",
- "android.hidl.memory@1.0",
"libbase",
"libcutils",
"libfmq",
"libhidlbase",
- "libhidlmemory",
"liblog",
"libutils",
],
diff --git a/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/Burst.h b/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/Burst.h
index ac9411c462..1b28476a88 100644
--- a/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/Burst.h
+++ b/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/Burst.h
@@ -170,13 +170,16 @@ class Burst final : public nn::IBurst, public std::enable_shared_from_this<Burst
// See IBurst::execute for information on this method.
nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>> execute(
const nn::Request& request, nn::MeasureTiming measure,
- const nn::OptionalTimePoint& deadline,
- const nn::OptionalDuration& loopTimeoutDuration) const override;
+ const nn::OptionalTimePoint& deadline, const nn::OptionalDuration& loopTimeoutDuration,
+ const std::vector<nn::TokenValuePair>& hints,
+ const std::vector<nn::ExtensionNameAndPrefix>& extensionNameToPrefix) const override;
// See IBurst::createReusableExecution for information on this method.
nn::GeneralResult<nn::SharedExecution> createReusableExecution(
const nn::Request& request, nn::MeasureTiming measure,
- const nn::OptionalDuration& loopTimeoutDuration) const override;
+ const nn::OptionalDuration& loopTimeoutDuration,
+ const std::vector<nn::TokenValuePair>& hints,
+ const std::vector<nn::ExtensionNameAndPrefix>& extensionNameToPrefix) const override;
// If fallback is not nullptr, this method will invoke the fallback function to try another
// execution path if the packet could not be sent. Otherwise, failing to send the packet will
diff --git a/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/Conversions.h b/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/Conversions.h
index c3348aa8f2..4f13adc0a3 100644
--- a/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/Conversions.h
+++ b/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/Conversions.h
@@ -37,7 +37,7 @@ GeneralResult<Operand> unvalidatedConvert(const hal::V1_2::Operand& operand);
GeneralResult<Operand::ExtraParams> unvalidatedConvert(
const hal::V1_2::Operand::ExtraParams& extraParams);
GeneralResult<Model> unvalidatedConvert(const hal::V1_2::Model& model);
-GeneralResult<Model::ExtensionNameAndPrefix> unvalidatedConvert(
+GeneralResult<ExtensionNameAndPrefix> unvalidatedConvert(
const hal::V1_2::Model::ExtensionNameAndPrefix& extensionNameAndPrefix);
GeneralResult<OutputShape> unvalidatedConvert(const hal::V1_2::OutputShape& outputShape);
GeneralResult<MeasureTiming> unvalidatedConvert(const hal::V1_2::MeasureTiming& measureTiming);
@@ -78,7 +78,7 @@ nn::GeneralResult<Operand::ExtraParams> unvalidatedConvert(
const nn::Operand::ExtraParams& extraParams);
nn::GeneralResult<Model> unvalidatedConvert(const nn::Model& model);
nn::GeneralResult<Model::ExtensionNameAndPrefix> unvalidatedConvert(
- const nn::Model::ExtensionNameAndPrefix& extensionNameAndPrefix);
+ const nn::ExtensionNameAndPrefix& extensionNameAndPrefix);
nn::GeneralResult<OutputShape> unvalidatedConvert(const nn::OutputShape& outputShape);
nn::GeneralResult<MeasureTiming> unvalidatedConvert(const nn::MeasureTiming& measureTiming);
nn::GeneralResult<Timing> unvalidatedConvert(const nn::Timing& timing);
diff --git a/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/Device.h b/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/Device.h
index e7ac172211..d92cf50aa3 100644
--- a/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/Device.h
+++ b/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/Device.h
@@ -83,8 +83,9 @@ class Device final : public nn::IDevice {
nn::GeneralResult<nn::SharedPreparedModel> prepareModel(
const nn::Model& model, nn::ExecutionPreference preference, nn::Priority priority,
nn::OptionalTimePoint deadline, const std::vector<nn::SharedHandle>& modelCache,
- const std::vector<nn::SharedHandle>& dataCache,
- const nn::CacheToken& token) const override;
+ const std::vector<nn::SharedHandle>& dataCache, const nn::CacheToken& token,
+ const std::vector<nn::TokenValuePair>& hints,
+ const std::vector<nn::ExtensionNameAndPrefix>& extensionNameToPrefix) const override;
nn::GeneralResult<nn::SharedPreparedModel> prepareModelFromCache(
nn::OptionalTimePoint deadline, const std::vector<nn::SharedHandle>& modelCache,
diff --git a/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/PreparedModel.h b/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/PreparedModel.h
index 1150e5e79b..72a5b2f007 100644
--- a/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/PreparedModel.h
+++ b/neuralnetworks/1.2/utils/include/nnapi/hal/1.2/PreparedModel.h
@@ -49,18 +49,23 @@ class PreparedModel final : public nn::IPreparedModel,
nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>> execute(
const nn::Request& request, nn::MeasureTiming measure,
- const nn::OptionalTimePoint& deadline,
- const nn::OptionalDuration& loopTimeoutDuration) const override;
+ const nn::OptionalTimePoint& deadline, const nn::OptionalDuration& loopTimeoutDuration,
+ const std::vector<nn::TokenValuePair>& hints,
+ const std::vector<nn::ExtensionNameAndPrefix>& extensionNameToPrefix) const override;
nn::GeneralResult<std::pair<nn::SyncFence, nn::ExecuteFencedInfoCallback>> executeFenced(
const nn::Request& request, const std::vector<nn::SyncFence>& waitFor,
nn::MeasureTiming measure, const nn::OptionalTimePoint& deadline,
const nn::OptionalDuration& loopTimeoutDuration,
- const nn::OptionalDuration& timeoutDurationAfterFence) const override;
+ const nn::OptionalDuration& timeoutDurationAfterFence,
+ const std::vector<nn::TokenValuePair>& hints,
+ const std::vector<nn::ExtensionNameAndPrefix>& extensionNameToPrefix) const override;
nn::GeneralResult<nn::SharedExecution> createReusableExecution(
const nn::Request& request, nn::MeasureTiming measure,
- const nn::OptionalDuration& loopTimeoutDuration) const override;
+ const nn::OptionalDuration& loopTimeoutDuration,
+ const std::vector<nn::TokenValuePair>& hints,
+ const std::vector<nn::ExtensionNameAndPrefix>& extensionNameToPrefix) const override;
nn::GeneralResult<nn::SharedBurst> configureExecutionBurst() const override;
diff --git a/neuralnetworks/1.2/utils/src/Burst.cpp b/neuralnetworks/1.2/utils/src/Burst.cpp
index 911fbfa981..23e80709a0 100644
--- a/neuralnetworks/1.2/utils/src/Burst.cpp
+++ b/neuralnetworks/1.2/utils/src/Burst.cpp
@@ -305,8 +305,9 @@ Burst::OptionalCacheHold Burst::cacheMemory(const nn::SharedMemory& memory) cons
nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>> Burst::execute(
const nn::Request& request, nn::MeasureTiming measure,
- const nn::OptionalTimePoint& deadline,
- const nn::OptionalDuration& loopTimeoutDuration) const {
+ const nn::OptionalTimePoint& deadline, const nn::OptionalDuration& loopTimeoutDuration,
+ const std::vector<nn::TokenValuePair>& /*hints*/,
+ const std::vector<nn::ExtensionNameAndPrefix>& /*extensionNameToPrefix*/) const {
// This is the first point when we know an execution is occurring, so begin to collect
// systraces. Note that the first point we can begin collecting systraces in
// ExecutionBurstServer is when the RequestChannelReceiver realizes there is data in the FMQ, so
@@ -317,7 +318,7 @@ nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>> Burst::
// fall back to another execution path
if (!compliantVersion(request).ok()) {
// fallback to another execution path if the packet could not be sent
- return kPreparedModel->execute(request, measure, deadline, loopTimeoutDuration);
+ return kPreparedModel->execute(request, measure, deadline, loopTimeoutDuration, {}, {});
}
// ensure that request is ready for IPC
@@ -346,7 +347,7 @@ nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>> Burst::
// send request packet
const auto requestPacket = serialize(hidlRequest, hidlMeasure, slots);
const auto fallback = [this, &request, measure, &deadline, &loopTimeoutDuration] {
- return kPreparedModel->execute(request, measure, deadline, loopTimeoutDuration);
+ return kPreparedModel->execute(request, measure, deadline, loopTimeoutDuration, {}, {});
};
return executeInternal(requestPacket, relocation, fallback);
}
@@ -354,14 +355,17 @@ nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>> Burst::
// See IBurst::createReusableExecution for information on this method.
nn::GeneralResult<nn::SharedExecution> Burst::createReusableExecution(
const nn::Request& request, nn::MeasureTiming measure,
- const nn::OptionalDuration& loopTimeoutDuration) const {
+ const nn::OptionalDuration& loopTimeoutDuration,
+ const std::vector<nn::TokenValuePair>& /*hints*/,
+ const std::vector<nn::ExtensionNameAndPrefix>& /*extensionNameToPrefix*/) const {
NNTRACE_RT(NNTRACE_PHASE_EXECUTION, "Burst::createReusableExecution");
// if the request is valid but of a higher version than what's supported in burst execution,
// fall back to another execution path
if (!compliantVersion(request).ok()) {
// fallback to another execution path if the packet could not be sent
- return kPreparedModel->createReusableExecution(request, measure, loopTimeoutDuration);
+ return kPreparedModel->createReusableExecution(request, measure, loopTimeoutDuration, {},
+ {});
}
// ensure that request is ready for IPC
diff --git a/neuralnetworks/1.2/utils/src/Conversions.cpp b/neuralnetworks/1.2/utils/src/Conversions.cpp
index 838d9c4717..62ec2ed6c6 100644
--- a/neuralnetworks/1.2/utils/src/Conversions.cpp
+++ b/neuralnetworks/1.2/utils/src/Conversions.cpp
@@ -212,9 +212,9 @@ GeneralResult<Model> unvalidatedConvert(const hal::V1_2::Model& model) {
};
}
-GeneralResult<Model::ExtensionNameAndPrefix> unvalidatedConvert(
+GeneralResult<ExtensionNameAndPrefix> unvalidatedConvert(
const hal::V1_2::Model::ExtensionNameAndPrefix& extensionNameAndPrefix) {
- return Model::ExtensionNameAndPrefix{
+ return ExtensionNameAndPrefix{
.name = extensionNameAndPrefix.name,
.prefix = extensionNameAndPrefix.prefix,
};
@@ -495,7 +495,7 @@ nn::GeneralResult<Model> unvalidatedConvert(const nn::Model& model) {
}
nn::GeneralResult<Model::ExtensionNameAndPrefix> unvalidatedConvert(
- const nn::Model::ExtensionNameAndPrefix& extensionNameAndPrefix) {
+ const nn::ExtensionNameAndPrefix& extensionNameAndPrefix) {
return Model::ExtensionNameAndPrefix{
.name = extensionNameAndPrefix.name,
.prefix = extensionNameAndPrefix.prefix,
diff --git a/neuralnetworks/1.2/utils/src/Device.cpp b/neuralnetworks/1.2/utils/src/Device.cpp
index e7acecdf7a..3a58d2c7cc 100644
--- a/neuralnetworks/1.2/utils/src/Device.cpp
+++ b/neuralnetworks/1.2/utils/src/Device.cpp
@@ -236,7 +236,9 @@ nn::GeneralResult<std::vector<bool>> Device::getSupportedOperations(const nn::Mo
nn::GeneralResult<nn::SharedPreparedModel> Device::prepareModel(
const nn::Model& model, nn::ExecutionPreference preference, nn::Priority /*priority*/,
nn::OptionalTimePoint /*deadline*/, const std::vector<nn::SharedHandle>& modelCache,
- const std::vector<nn::SharedHandle>& dataCache, const nn::CacheToken& token) const {
+ const std::vector<nn::SharedHandle>& dataCache, const nn::CacheToken& token,
+ const std::vector<nn::TokenValuePair>& /*hints*/,
+ const std::vector<nn::ExtensionNameAndPrefix>& /*extensionNameToPrefix*/) const {
// Ensure that model is ready for IPC.
std::optional<nn::Model> maybeModelInShared;
const nn::Model& modelInShared =
diff --git a/neuralnetworks/1.2/utils/src/PreparedModel.cpp b/neuralnetworks/1.2/utils/src/PreparedModel.cpp
index 6df3df332a..feb3951a4a 100644
--- a/neuralnetworks/1.2/utils/src/PreparedModel.cpp
+++ b/neuralnetworks/1.2/utils/src/PreparedModel.cpp
@@ -91,7 +91,9 @@ PreparedModel::executeAsynchronously(const V1_0::Request& request, MeasureTiming
nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>> PreparedModel::execute(
const nn::Request& request, nn::MeasureTiming measure,
const nn::OptionalTimePoint& /*deadline*/,
- const nn::OptionalDuration& /*loopTimeoutDuration*/) const {
+ const nn::OptionalDuration& /*loopTimeoutDuration*/,
+ const std::vector<nn::TokenValuePair>& /*hints*/,
+ const std::vector<nn::ExtensionNameAndPrefix>& /*extensionNameToPrefix*/) const {
// Ensure that request is ready for IPC.
std::optional<nn::Request> maybeRequestInShared;
hal::utils::RequestRelocation relocation;
@@ -123,19 +125,22 @@ PreparedModel::executeInternal(const V1_0::Request& request, MeasureTiming measu
}
nn::GeneralResult<std::pair<nn::SyncFence, nn::ExecuteFencedInfoCallback>>
-PreparedModel::executeFenced(const nn::Request& /*request*/,
- const std::vector<nn::SyncFence>& /*waitFor*/,
- nn::MeasureTiming /*measure*/,
- const nn::OptionalTimePoint& /*deadline*/,
- const nn::OptionalDuration& /*loopTimeoutDuration*/,
- const nn::OptionalDuration& /*timeoutDurationAfterFence*/) const {
+PreparedModel::executeFenced(
+ const nn::Request& /*request*/, const std::vector<nn::SyncFence>& /*waitFor*/,
+ nn::MeasureTiming /*measure*/, const nn::OptionalTimePoint& /*deadline*/,
+ const nn::OptionalDuration& /*loopTimeoutDuration*/,
+ const nn::OptionalDuration& /*timeoutDurationAfterFence*/,
+ const std::vector<nn::TokenValuePair>& /*hints*/,
+ const std::vector<nn::ExtensionNameAndPrefix>& /*extensionNameToPrefix*/) const {
return NN_ERROR(nn::ErrorStatus::GENERAL_FAILURE)
<< "IPreparedModel::executeFenced is not supported on 1.2 HAL service";
}
nn::GeneralResult<nn::SharedExecution> PreparedModel::createReusableExecution(
const nn::Request& request, nn::MeasureTiming measure,
- const nn::OptionalDuration& /*loopTimeoutDuration*/) const {
+ const nn::OptionalDuration& /*loopTimeoutDuration*/,
+ const std::vector<nn::TokenValuePair>& /*hints*/,
+ const std::vector<nn::ExtensionNameAndPrefix>& /*extensionNameToPrefix*/) const {
// Ensure that request is ready for IPC.
std::optional<nn::Request> maybeRequestInShared;
hal::utils::RequestRelocation relocation;
diff --git a/neuralnetworks/1.2/utils/test/DeviceTest.cpp b/neuralnetworks/1.2/utils/test/DeviceTest.cpp
index 1dc6285be5..0d8c141582 100644
--- a/neuralnetworks/1.2/utils/test/DeviceTest.cpp
+++ b/neuralnetworks/1.2/utils/test/DeviceTest.cpp
@@ -636,7 +636,7 @@ TEST(DeviceTest, prepareModel) {
// run test
const auto result = device->prepareModel(kSimpleModel, nn::ExecutionPreference::DEFAULT,
- nn::Priority::DEFAULT, {}, {}, {}, {});
+ nn::Priority::DEFAULT, {}, {}, {}, {}, {}, {});
// verify result
ASSERT_TRUE(result.has_value())
@@ -655,7 +655,7 @@ TEST(DeviceTest, prepareModelLaunchError) {
// run test
const auto result = device->prepareModel(kSimpleModel, nn::ExecutionPreference::DEFAULT,
- nn::Priority::DEFAULT, {}, {}, {}, {});
+ nn::Priority::DEFAULT, {}, {}, {}, {}, {}, {});
// verify result
ASSERT_FALSE(result.has_value());
@@ -673,7 +673,7 @@ TEST(DeviceTest, prepareModelReturnError) {
// run test
const auto result = device->prepareModel(kSimpleModel, nn::ExecutionPreference::DEFAULT,
- nn::Priority::DEFAULT, {}, {}, {}, {});
+ nn::Priority::DEFAULT, {}, {}, {}, {}, {}, {});
// verify result
ASSERT_FALSE(result.has_value());
@@ -691,7 +691,7 @@ TEST(DeviceTest, prepareModelNullptrError) {
// run test
const auto result = device->prepareModel(kSimpleModel, nn::ExecutionPreference::DEFAULT,
- nn::Priority::DEFAULT, {}, {}, {}, {});
+ nn::Priority::DEFAULT, {}, {}, {}, {}, {}, {});
// verify result
ASSERT_FALSE(result.has_value());
@@ -708,7 +708,7 @@ TEST(DeviceTest, prepareModelTransportFailure) {
// run test
const auto result = device->prepareModel(kSimpleModel, nn::ExecutionPreference::DEFAULT,
- nn::Priority::DEFAULT, {}, {}, {}, {});
+ nn::Priority::DEFAULT, {}, {}, {}, {}, {}, {});
// verify result
ASSERT_FALSE(result.has_value());
@@ -725,7 +725,7 @@ TEST(DeviceTest, prepareModelDeadObject) {
// run test
const auto result = device->prepareModel(kSimpleModel, nn::ExecutionPreference::DEFAULT,
- nn::Priority::DEFAULT, {}, {}, {}, {});
+ nn::Priority::DEFAULT, {}, {}, {}, {}, {}, {});
// verify result
ASSERT_FALSE(result.has_value());
@@ -746,7 +746,7 @@ TEST(DeviceTest, prepareModelAsyncCrash) {
// run test
const auto result = device->prepareModel(kSimpleModel, nn::ExecutionPreference::DEFAULT,
- nn::Priority::DEFAULT, {}, {}, {}, {});
+ nn::Priority::DEFAULT, {}, {}, {}, {}, {}, {});
// verify result
ASSERT_FALSE(result.has_value());
diff --git a/neuralnetworks/1.2/utils/test/PreparedModelTest.cpp b/neuralnetworks/1.2/utils/test/PreparedModelTest.cpp
index 5e2ad79df5..a5ec9d36cd 100644
--- a/neuralnetworks/1.2/utils/test/PreparedModelTest.cpp
+++ b/neuralnetworks/1.2/utils/test/PreparedModelTest.cpp
@@ -154,7 +154,7 @@ TEST(PreparedModelTest, executeSync) {
.WillOnce(Invoke(makeExecuteSynchronously(V1_0::ErrorStatus::NONE, {}, kNoTiming)));
// run test
- const auto result = preparedModel->execute({}, {}, {}, {});
+ const auto result = preparedModel->execute({}, {}, {}, {}, {}, {});
// verify result
EXPECT_TRUE(result.has_value())
@@ -172,7 +172,7 @@ TEST(PreparedModelTest, executeSyncError) {
makeExecuteSynchronously(V1_0::ErrorStatus::GENERAL_FAILURE, {}, kNoTiming)));
// run test
- const auto result = preparedModel->execute({}, {}, {}, {});
+ const auto result = preparedModel->execute({}, {}, {}, {}, {}, {});
// verify result
ASSERT_FALSE(result.has_value());
@@ -189,7 +189,7 @@ TEST(PreparedModelTest, executeSyncTransportFailure) {
.WillOnce(InvokeWithoutArgs(makeGeneralTransportFailure));
// run test
- const auto result = preparedModel->execute({}, {}, {}, {});
+ const auto result = preparedModel->execute({}, {}, {}, {}, {}, {});
// verify result
ASSERT_FALSE(result.has_value());
@@ -206,7 +206,7 @@ TEST(PreparedModelTest, executeSyncDeadObject) {
.WillOnce(InvokeWithoutArgs(makeDeadObjectFailure));
// run test
- const auto result = preparedModel->execute({}, {}, {}, {});
+ const auto result = preparedModel->execute({}, {}, {}, {}, {}, {});
// verify result
ASSERT_FALSE(result.has_value());
@@ -224,7 +224,7 @@ TEST(PreparedModelTest, executeAsync) {
V1_0::ErrorStatus::NONE, {}, kNoTiming)));
// run test
- const auto result = preparedModel->execute({}, {}, {}, {});
+ const auto result = preparedModel->execute({}, {}, {}, {}, {}, {});
// verify result
EXPECT_TRUE(result.has_value())
@@ -243,7 +243,7 @@ TEST(PreparedModelTest, executeAsyncLaunchError) {
kNoTiming)));
// run test
- const auto result = preparedModel->execute({}, {}, {}, {});
+ const auto result = preparedModel->execute({}, {}, {}, {}, {}, {});
// verify result
ASSERT_FALSE(result.has_value());
@@ -261,7 +261,7 @@ TEST(PreparedModelTest, executeAsyncReturnError) {
V1_0::ErrorStatus::NONE, V1_0::ErrorStatus::GENERAL_FAILURE, {}, kNoTiming)));
// run test
- const auto result = preparedModel->execute({}, {}, {}, {});
+ const auto result = preparedModel->execute({}, {}, {}, {}, {}, {});
// verify result
ASSERT_FALSE(result.has_value());
@@ -278,7 +278,7 @@ TEST(PreparedModelTest, executeAsyncTransportFailure) {
.WillOnce(InvokeWithoutArgs(makeGeneralTransportFailure));
// run test
- const auto result = preparedModel->execute({}, {}, {}, {});
+ const auto result = preparedModel->execute({}, {}, {}, {}, {}, {});
// verify result
ASSERT_FALSE(result.has_value());
@@ -295,7 +295,7 @@ TEST(PreparedModelTest, executeAsyncDeadObject) {
.WillOnce(InvokeWithoutArgs(makeDeadObjectFailure));
// run test
- const auto result = preparedModel->execute({}, {}, {}, {});
+ const auto result = preparedModel->execute({}, {}, {}, {}, {}, {});
// verify result
ASSERT_FALSE(result.has_value());
@@ -314,7 +314,7 @@ TEST(PreparedModelTest, executeAsyncCrash) {
EXPECT_CALL(*mockPreparedModel, execute_1_2(_, _, _)).Times(1).WillOnce(InvokeWithoutArgs(ret));
// run test
- const auto result = preparedModel->execute({}, {}, {}, {});
+ const auto result = preparedModel->execute({}, {}, {}, {}, {}, {});
// verify result
ASSERT_FALSE(result.has_value());
@@ -328,7 +328,7 @@ TEST(PreparedModelTest, executeFencedNotSupported) {
PreparedModel::create(mockPreparedModel, /*executeSynchronously=*/true).value();
// run test
- const auto result = preparedModel->executeFenced({}, {}, {}, {}, {}, {});
+ const auto result = preparedModel->executeFenced({}, {}, {}, {}, {}, {}, {}, {});
// verify result
ASSERT_FALSE(result.has_value());
@@ -347,7 +347,7 @@ TEST(PreparedModelTest, reusableExecuteSync) {
Invoke(makeExecuteSynchronously(V1_0::ErrorStatus::NONE, {}, kNoTiming)));
// create execution
- const auto createResult = preparedModel->createReusableExecution({}, {}, {});
+ const auto createResult = preparedModel->createReusableExecution({}, {}, {}, {}, {});
ASSERT_TRUE(createResult.has_value())
<< "Failed with " << createResult.error().code << ": " << createResult.error().message;
ASSERT_NE(createResult.value(), nullptr);
@@ -371,7 +371,7 @@ TEST(PreparedModelTest, reusableExecuteSyncError) {
makeExecuteSynchronously(V1_0::ErrorStatus::GENERAL_FAILURE, {}, kNoTiming)));
// create execution
- const auto createResult = preparedModel->createReusableExecution({}, {}, {});
+ const auto createResult = preparedModel->createReusableExecution({}, {}, {}, {}, {});
ASSERT_TRUE(createResult.has_value())
<< "Failed with " << createResult.error().code << ": " << createResult.error().message;
ASSERT_NE(createResult.value(), nullptr);
@@ -392,7 +392,7 @@ TEST(PreparedModelTest, reusableExecuteSyncTransportFailure) {
.WillOnce(InvokeWithoutArgs(makeGeneralTransportFailure));
// create execution
- const auto createResult = preparedModel->createReusableExecution({}, {}, {});
+ const auto createResult = preparedModel->createReusableExecution({}, {}, {}, {}, {});
ASSERT_TRUE(createResult.has_value())
<< "Failed with " << createResult.error().code << ": " << createResult.error().message;
ASSERT_NE(createResult.value(), nullptr);
@@ -413,7 +413,7 @@ TEST(PreparedModelTest, reusableExecuteSyncDeadObject) {
.WillOnce(InvokeWithoutArgs(makeDeadObjectFailure));
// create execution
- const auto createResult = preparedModel->createReusableExecution({}, {}, {});
+ const auto createResult = preparedModel->createReusableExecution({}, {}, {}, {}, {});
ASSERT_TRUE(createResult.has_value())
<< "Failed with " << createResult.error().code << ": " << createResult.error().message;
ASSERT_NE(createResult.value(), nullptr);
@@ -436,7 +436,7 @@ TEST(PreparedModelTest, reusableExecuteAsync) {
V1_0::ErrorStatus::NONE, V1_0::ErrorStatus::NONE, {}, kNoTiming)));
// create execution
- const auto createResult = preparedModel->createReusableExecution({}, {}, {});
+ const auto createResult = preparedModel->createReusableExecution({}, {}, {}, {}, {});
ASSERT_TRUE(createResult.has_value())
<< "Failed with " << createResult.error().code << ": " << createResult.error().message;
ASSERT_NE(createResult.value(), nullptr);
@@ -461,7 +461,7 @@ TEST(PreparedModelTest, reusableExecuteAsyncLaunchError) {
kNoTiming)));
// create execution
- const auto createResult = preparedModel->createReusableExecution({}, {}, {});
+ const auto createResult = preparedModel->createReusableExecution({}, {}, {}, {}, {});
ASSERT_TRUE(createResult.has_value())
<< "Failed with " << createResult.error().code << ": " << createResult.error().message;
ASSERT_NE(createResult.value(), nullptr);
@@ -483,7 +483,7 @@ TEST(PreparedModelTest, reusableExecuteAsyncReturnError) {
V1_0::ErrorStatus::NONE, V1_0::ErrorStatus::GENERAL_FAILURE, {}, kNoTiming)));
// create execution
- const auto createResult = preparedModel->createReusableExecution({}, {}, {});
+ const auto createResult = preparedModel->createReusableExecution({}, {}, {}, {}, {});
ASSERT_TRUE(createResult.has_value())
<< "Failed with " << createResult.error().code << ": " << createResult.error().message;
ASSERT_NE(createResult.value(), nullptr);
@@ -504,7 +504,7 @@ TEST(PreparedModelTest, reusableExecuteAsyncTransportFailure) {
.WillOnce(InvokeWithoutArgs(makeGeneralTransportFailure));
// create execution
- const auto createResult = preparedModel->createReusableExecution({}, {}, {});
+ const auto createResult = preparedModel->createReusableExecution({}, {}, {}, {}, {});
ASSERT_TRUE(createResult.has_value())
<< "Failed with " << createResult.error().code << ": " << createResult.error().message;
ASSERT_NE(createResult.value(), nullptr);
@@ -525,7 +525,7 @@ TEST(PreparedModelTest, reusableExecuteAsyncDeadObject) {
.WillOnce(InvokeWithoutArgs(makeDeadObjectFailure));
// create execution
- const auto createResult = preparedModel->createReusableExecution({}, {}, {});
+ const auto createResult = preparedModel->createReusableExecution({}, {}, {}, {}, {});
ASSERT_TRUE(createResult.has_value())
<< "Failed with " << createResult.error().code << ": " << createResult.error().message;
ASSERT_NE(createResult.value(), nullptr);
@@ -548,7 +548,7 @@ TEST(PreparedModelTest, reusableExecuteAsyncCrash) {
EXPECT_CALL(*mockPreparedModel, execute_1_2(_, _, _)).Times(1).WillOnce(InvokeWithoutArgs(ret));
// create execution
- const auto createResult = preparedModel->createReusableExecution({}, {}, {});
+ const auto createResult = preparedModel->createReusableExecution({}, {}, {}, {}, {});
ASSERT_TRUE(createResult.has_value())
<< "Failed with " << createResult.error().code << ": " << createResult.error().message;
ASSERT_NE(createResult.value(), nullptr);
@@ -566,7 +566,7 @@ TEST(PreparedModelTest, reusableExecuteFencedNotSupported) {
PreparedModel::create(mockPreparedModel, /*executeSynchronously=*/true).value();
// create execution
- const auto createResult = preparedModel->createReusableExecution({}, {}, {});
+ const auto createResult = preparedModel->createReusableExecution({}, {}, {}, {}, {});
ASSERT_TRUE(createResult.has_value())
<< "Failed with " << createResult.error().code << ": " << createResult.error().message;
ASSERT_NE(createResult.value(), nullptr);
generated by cgit v1.2.3 (git 2.25.1) at 2025-10-03 15:32:57 +0000