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Merge "Add NNAPI loop timeout API"

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This commit is contained in:
Slava Shklyaev
2020-02-18 20:58:55 +00:00
committed by Android (Google) Code Review
parent 6b95246de5 f034bf9c92
commit a2bf06e98a
8 changed files with 72 additions and 15 deletions
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4
current.txt
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@@ -674,9 +674,9 @@ a3eddd9bbdc87e8c22764070037dd1154f1cf006e6fba93364c4f85d4c134a19 android.hardwar
9db064ee44268a876be0367ff771e618362d39ec603b6ecab17e1575725fcd87 android.hardware.neuralnetworks@1.3::IDevice
4167dc3ad35e9cd0d2057d4868c7675ae2c3c9d05bbd614c1f5dccfa5fd68797 android.hardware.neuralnetworks@1.3::IExecutionCallback
2fa3679ad7c94b5e88724adcd560c561041068a4ca565c63830e68101988746a android.hardware.neuralnetworks@1.3::IFencedExecutionCallback
237b23b126a66f3432658020fed78cdd06ba6297459436fe6bae0ba753370833 android.hardware.neuralnetworks@1.3::IPreparedModel
43088ffc71945b463a7279262cfe2e290f6ed2f15d3fd6032798a3be299fb08f android.hardware.neuralnetworks@1.3::IPreparedModel
0439a1fbbec7f16e5e4c653d85ac685d51bfafbae15b8f8cca530acdd7d6a8ce android.hardware.neuralnetworks@1.3::IPreparedModelCallback
5e2a14b40dc11da9d478185838f4401b652739922d14cecea0a0ce4c1359fe21 android.hardware.neuralnetworks@1.3::types
306fda32ac969fd51d75d066352cadcb769944ec4823be4cdd3f86fdb9e97511 android.hardware.neuralnetworks@1.3::types
3e01d4446cd69fd1c48f8572efd97487bc179564b32bd795800b97bbe10be37b android.hardware.wifi@1.4::IWifi
c67aaf26a7a40d14ea61e70e20afacbd0bb906df1704d585ac8599fbb69dd44b android.hardware.wifi.hostapd@1.2::IHostapd
2b5a7ea572b736030c64a3b4043af244425477c4672301780fe15aba5ed393d9 android.hardware.wifi.hostapd@1.2::types

41
neuralnetworks/1.3/IPreparedModel.hal
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@@ -92,6 +92,17 @@ interface IPreparedModel extends @1.2::IPreparedModel {
* @param deadline The time by which the execution must complete. If the
* execution cannot be finished by the deadline, the
* execution must be aborted.
* @param loopTimeoutDuration The maximum amount of time that should be spent
* executing a {@link OperationType::WHILE}
* operation. If a loop condition model does not
* output false within this duration, the
* execution must be aborted. If the model
* contains a {@link OperationType::WHILE}
* operation and no loop timeout duration is
* provided, the maximum amount of time is {@link
* LoopTimeoutDurationNs::DEFAULT}. When
* provided, the duration must not exceed {@link
* LoopTimeoutDurationNs::MAXIMUM}.
* @param callback A callback object used to return the error status of
* the execution, shape information of model output operands, and
* duration of execution. The callback object's notify function must
@@ -111,7 +122,7 @@ interface IPreparedModel extends @1.2::IPreparedModel {
* driver
*/
execute_1_3(Request request, MeasureTiming measure, OptionalTimePoint deadline,
IExecutionCallback callback)
OptionalTimeoutDuration loopTimeoutDuration, IExecutionCallback callback)
generates (ErrorStatus status);
/**
@@ -163,6 +174,17 @@ interface IPreparedModel extends @1.2::IPreparedModel {
* @param deadline The time by which the execution must complete. If the
* execution cannot be finished by the deadline, the
* execution must be aborted.
* @param loopTimeoutDuration The maximum amount of time that should be spent
* executing a {@link OperationType::WHILE}
* operation. If a loop condition model does not
* output false within this duration, the
* execution must be aborted. If the model
* contains a {@link OperationType::WHILE}
* operation and no loop timeout duration is
* provided, the maximum amount of time is {@link
* LoopTimeoutDurationNs::DEFAULT}. When
* provided, the duration must not exceed {@link
* LoopTimeoutDurationNs::MAXIMUM}.
* @return status Error status of the execution, must be:
* - NONE if execution is performed successfully
* - DEVICE_UNAVAILABLE if driver is offline or busy
@@ -187,7 +209,8 @@ interface IPreparedModel extends @1.2::IPreparedModel {
* measurement is not available.
*/
executeSynchronously_1_3(Request request, MeasureTiming measure,
OptionalTimePoint deadline)
OptionalTimePoint deadline,
OptionalTimeoutDuration loopTimeoutDuration)
generates (ErrorStatus status, vec<OutputShape> outputShapes,
Timing timing);
@@ -243,6 +266,17 @@ interface IPreparedModel extends @1.2::IPreparedModel {
* @param deadline The time by which the execution must complete. If the
* execution cannot be finished by the deadline, the
* execution must be aborted.
* @param loopTimeoutDuration The maximum amount of time that should be spent
* executing a {@link OperationType::WHILE}
* operation. If a loop condition model does not
* output false within this duration, the
* execution must be aborted. If the model
* contains a {@link OperationType::WHILE}
* operation and no loop timeout duration is
* provided, the maximum amount of time is {@link
* LoopTimeoutDurationNs::DEFAULT}. When
* provided, the duration must not exceed {@link
* LoopTimeoutDurationNs::MAXIMUM}.
* @param duration The length of time within which the execution must
* complete after all sync fences in waitFor are signaled. If the
* execution cannot be finished within the duration, the execution
@@ -264,6 +298,7 @@ interface IPreparedModel extends @1.2::IPreparedModel {
* and error status when the execution is completed.
*/
executeFenced(Request request, vec<handle> waitFor, MeasureTiming measure,
OptionalTimePoint deadline, OptionalTimeoutDuration duration)
OptionalTimePoint deadline, OptionalTimeoutDuration loopTimeoutDuration,
OptionalTimeoutDuration duration)
generates (ErrorStatus status, handle syncFence, IFencedExecutionCallback callback);
};

11
neuralnetworks/1.3/types.hal
View File

@@ -5671,3 +5671,14 @@ enum ErrorStatus : @1.0::ErrorStatus {
*/
RESOURCE_EXHAUSTED_PERSISTENT,
};
/**
* Each {@link OperationType::WHILE} operation in the model has an implicit
* execution timeout duration associated with it ("loop timeout duration").
* This duration is configurable on a per-execution basis and must not exceed
* 15 seconds. The default value is 2 seconds.
*/
enum LoopTimeoutDurationNs : uint64_t {
DEFAULT = 2000000000,
MAXIMUM = 15000000000,
};

11
neuralnetworks/1.3/types.t
View File

@@ -598,3 +598,14 @@ enum ErrorStatus : @1.0::ErrorStatus {
*/
RESOURCE_EXHAUSTED_PERSISTENT,
};
/**
* Each {@link OperationType::WHILE} operation in the model has an implicit
* execution timeout duration associated with it ("loop timeout duration").
* This duration is configurable on a per-execution basis and must not exceed
* 15 seconds. The default value is 2 seconds.
*/
enum LoopTimeoutDurationNs : uint64_t {
DEFAULT = 2000000000,
MAXIMUM = 15000000000,
};

6
neuralnetworks/1.3/vts/functional/GeneratedTestHarness.cpp
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@@ -496,7 +496,7 @@ static std::vector<TestBuffer> getOutputBuffers(const TestModel& testModel, cons
static Return<ErrorStatus> ExecutePreparedModel(const sp<IPreparedModel>& preparedModel,
const Request& request, MeasureTiming measure,
sp<ExecutionCallback>& callback) {
return preparedModel->execute_1_3(request, measure, {}, callback);
return preparedModel->execute_1_3(request, measure, {}, {}, callback);
}
static Return<ErrorStatus> ExecutePreparedModel(const sp<IPreparedModel>& preparedModel,
const Request& request, MeasureTiming measure,
@@ -504,7 +504,7 @@ static Return<ErrorStatus> ExecutePreparedModel(const sp<IPreparedModel>& prepar
Timing* timing) {
ErrorStatus result;
Return<void> ret = preparedModel->executeSynchronously_1_3(
request, measure, {},
request, measure, {}, {},
[&result, outputShapes, timing](ErrorStatus error, const hidl_vec<OutputShape>& shapes,
const Timing& time) {
result = error;
@@ -612,7 +612,7 @@ void EvaluatePreparedModel(const sp<IDevice>& device, const sp<IPreparedModel>&
hidl_handle syncFenceHandle;
sp<IFencedExecutionCallback> fencedCallback;
Return<void> ret = preparedModel->executeFenced(
request, {}, testConfig.measureTiming, {}, {},
request, {}, testConfig.measureTiming, {}, {}, {},
[&result, &syncFenceHandle, &fencedCallback](
ErrorStatus error, const hidl_handle& handle,
const sp<IFencedExecutionCallback>& callback) {

4
neuralnetworks/1.3/vts/functional/QualityOfServiceTests.cpp
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@@ -171,7 +171,7 @@ static MaybeResults executeAsynchronously(const sp<IPreparedModel>& preparedMode
// launch execution
const sp<ExecutionCallback> callback = new ExecutionCallback();
Return<ErrorStatus> ret = preparedModel->execute_1_3(request, measure, deadline, callback);
Return<ErrorStatus> ret = preparedModel->execute_1_3(request, measure, deadline, {}, callback);
EXPECT_TRUE(ret.isOk());
EXPECT_EQ(ErrorStatus::NONE, ret.withDefault(ErrorStatus::GENERAL_FAILURE));
if (!ret.isOk() || ret != ErrorStatus::NONE) return std::nullopt;
@@ -198,7 +198,7 @@ static MaybeResults executeSynchronously(const sp<IPreparedModel>& preparedModel
// run execution
const Return<void> ret =
preparedModel->executeSynchronously_1_3(request, measure, deadline, cb);
preparedModel->executeSynchronously_1_3(request, measure, deadline, {}, cb);
EXPECT_TRUE(ret.isOk());
if (!ret.isOk()) return std::nullopt;

8
neuralnetworks/1.3/vts/functional/ValidateRequest.cpp
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@@ -70,7 +70,7 @@ static void validate(const sp<IPreparedModel>& preparedModel, const std::string&
sp<ExecutionCallback> executionCallback = new ExecutionCallback();
Return<ErrorStatus> executeLaunchStatus =
preparedModel->execute_1_3(request, measure, deadline, executionCallback);
preparedModel->execute_1_3(request, measure, deadline, {}, executionCallback);
ASSERT_TRUE(executeLaunchStatus.isOk());
ASSERT_EQ(ErrorStatus::INVALID_ARGUMENT, static_cast<ErrorStatus>(executeLaunchStatus));
@@ -88,7 +88,7 @@ static void validate(const sp<IPreparedModel>& preparedModel, const std::string&
SCOPED_TRACE(message + " [executeSynchronously_1_3]");
Return<void> executeStatus = preparedModel->executeSynchronously_1_3(
request, measure, deadline,
request, measure, deadline, {},
[](ErrorStatus error, const hidl_vec<OutputShape>& outputShapes,
const Timing& timing) {
ASSERT_EQ(ErrorStatus::INVALID_ARGUMENT, error);
@@ -143,7 +143,7 @@ static void validate(const sp<IPreparedModel>& preparedModel, const std::string&
{
SCOPED_TRACE(message + " [executeFenced]");
Return<void> ret =
preparedModel->executeFenced(request, {}, MeasureTiming::NO, deadline, {},
preparedModel->executeFenced(request, {}, MeasureTiming::NO, deadline, {}, {},
[](ErrorStatus error, const hidl_handle& handle,
const sp<IFencedExecutionCallback>& callback) {
ASSERT_EQ(ErrorStatus::INVALID_ARGUMENT, error);
@@ -196,7 +196,7 @@ void validateRequest(const sp<IPreparedModel>& preparedModel, const Request& req
void validateRequestFailure(const sp<IPreparedModel>& preparedModel, const Request& request) {
SCOPED_TRACE("Expecting request to fail [executeSynchronously_1_3]");
Return<void> executeStatus = preparedModel->executeSynchronously_1_3(
request, MeasureTiming::NO, {},
request, MeasureTiming::NO, {}, {},
[](ErrorStatus error, const hidl_vec<OutputShape>& outputShapes, const Timing& timing) {
ASSERT_NE(ErrorStatus::NONE, error);
EXPECT_EQ(outputShapes.size(), 0);

2
neuralnetworks/1.3/vts/functional/VtsHalNeuralnetworks.cpp
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@@ -137,7 +137,7 @@ void validateBurst(const sp<IPreparedModel>& preparedModel, const V1_0::Request&
void validateExecuteFenced(const sp<IPreparedModel>& preparedModel, const Request& request) {
SCOPED_TRACE("Expecting request to fail [executeFenced]");
Return<void> ret_null = preparedModel->executeFenced(
request, {hidl_handle(nullptr)}, V1_2::MeasureTiming::NO, {}, {},
request, {hidl_handle(nullptr)}, V1_2::MeasureTiming::NO, {}, {}, {},
[](ErrorStatus error, const hidl_handle& handle,
const sp<IFencedExecutionCallback>& callback) {
ASSERT_EQ(ErrorStatus::INVALID_ARGUMENT, error);