| #ifndef HIDL_GENERATED_ANDROID_HARDWARE_NEURALNETWORKS_V1_3_IPREPAREDMODEL_H |
| #define HIDL_GENERATED_ANDROID_HARDWARE_NEURALNETWORKS_V1_3_IPREPAREDMODEL_H |
| |
| #include <android/hardware/neuralnetworks/1.2/IPreparedModel.h> |
| #include <android/hardware/neuralnetworks/1.2/types.h> |
| #include <android/hardware/neuralnetworks/1.3/IExecutionCallback.h> |
| #include <android/hardware/neuralnetworks/1.3/IFencedExecutionCallback.h> |
| #include <android/hardware/neuralnetworks/1.3/types.h> |
| |
| #include <android/hidl/manager/1.0/IServiceNotification.h> |
| |
| #include <hidl/HidlSupport.h> |
| #include <hidl/MQDescriptor.h> |
| #include <hidl/Status.h> |
| #include <utils/NativeHandle.h> |
| #include <utils/misc.h> |
| |
| namespace android { |
| namespace hardware { |
| namespace neuralnetworks { |
| namespace V1_3 { |
| |
| /** |
| * IPreparedModel describes a model that has been prepared for execution and |
| * is used to launch executions. |
| */ |
| struct IPreparedModel : public ::android::hardware::neuralnetworks::V1_2::IPreparedModel { |
| /** |
| * Type tag for use in template logic that indicates this is a 'pure' class. |
| */ |
| typedef ::android::hardware::details::i_tag _hidl_tag; |
| |
| /** |
| * Fully qualified interface name: "android.hardware.neuralnetworks@1.3::IPreparedModel" |
| */ |
| static const char* descriptor; |
| |
| /** |
| * Returns whether this object's implementation is outside of the current process. |
| */ |
| virtual bool isRemote() const override { return false; } |
| |
| /** |
| * Launches an asynchronous execution on a prepared model. |
| * |
| * The execution is performed asynchronously with respect to the caller. |
| * execute must verify the inputs to the function are correct. If there is |
| * an error, execute must immediately invoke the callback with the |
| * appropriate ErrorStatus value, then return with the same ErrorStatus. If |
| * the inputs to the function are valid and there is no error, execute must |
| * launch an asynchronous task to perform the execution in the background, |
| * and immediately return with ErrorStatus::NONE. If the asynchronous task |
| * fails to launch, execute must immediately invoke the callback with |
| * ErrorStatus::GENERAL_FAILURE, then return with |
| * ErrorStatus::GENERAL_FAILURE. |
| * |
| * When the asynchronous task has finished its execution, it must |
| * immediately invoke the callback object provided as an input to the |
| * execute function. This callback must be provided with the ErrorStatus of |
| * the execution. |
| * |
| * If the launch is successful, the caller must not change the content of |
| * any data object referenced by 'request' (described by the |
| * {@link DataLocation} of a {@link RequestArgument}) until the |
| * asynchronous task has invoked the callback object. The asynchronous task |
| * must not change the content of any of the data objects corresponding to |
| * 'request' inputs. |
| * |
| * If the prepared model was prepared from a model wherein all tensor |
| * operands have fully specified dimensions, and the inputs to the function |
| * are valid, then: |
| * - the execution should launch successfully (ErrorStatus::NONE): There |
| * must be no failure unless the device itself is in a bad state. |
| * - if at execution time every operation's input operands have legal |
| * values, the execution should complete successfully (ErrorStatus::NONE): |
| * There must be no failure unless the device itself is in a bad state. |
| * |
| * Multiple threads can call the execute function on the same IPreparedModel |
| * object concurrently with different requests. |
| * |
| * @param request The input and output information on which the prepared |
| * model is to be executed. |
| * @param callback A callback object used to return the error status of |
| * the execution. The callback object's notify function must |
| * be called exactly once, even if the execution was |
| * unsuccessful. |
| * @return status Error status of the call, must be: |
| * - NONE if task is successfully launched |
| * - DEVICE_UNAVAILABLE if driver is offline or busy |
| * - GENERAL_FAILURE if there is an unspecified error |
| * - OUTPUT_INSUFFICIENT_SIZE if provided output buffer is |
| * not large enough to store the resultant values |
| * - INVALID_ARGUMENT if one of the input arguments is |
| * invalid |
| */ |
| virtual ::android::hardware::Return<::android::hardware::neuralnetworks::V1_0::ErrorStatus> execute(const ::android::hardware::neuralnetworks::V1_0::Request& request, const ::android::sp<::android::hardware::neuralnetworks::V1_0::IExecutionCallback>& callback) = 0; |
| |
| /** |
| * Launches an asynchronous execution on a prepared model. |
| * |
| * The execution is performed asynchronously with respect to the caller. |
| * execute_1_2 must verify the inputs to the function are correct. If there is |
| * an error, execute_1_2 must immediately invoke the callback with the |
| * appropriate ErrorStatus value, then return with the same ErrorStatus. If |
| * the inputs to the function are valid and there is no error, execute_1_2 must |
| * launch an asynchronous task to perform the execution in the background, |
| * and immediately return with ErrorStatus::NONE. If the asynchronous task |
| * fails to launch, execute_1_2 must immediately invoke the callback with |
| * ErrorStatus::GENERAL_FAILURE, then return with |
| * ErrorStatus::GENERAL_FAILURE. |
| * |
| * When the asynchronous task has finished its execution, it must |
| * immediately invoke the callback object provided as an input to the |
| * execute_1_2 function. This callback must be provided with the ErrorStatus of |
| * the execution. |
| * |
| * If the launch is successful, the caller must not change the content of |
| * any data object referenced by 'request' (described by the |
| * {@link @1.0::DataLocation} of a {@link @1.0::RequestArgument}) until the |
| * asynchronous task has invoked the callback object. The asynchronous task |
| * must not change the content of any of the data objects corresponding to |
| * 'request' inputs. |
| * |
| * If the prepared model was prepared from a model wherein all tensor |
| * operands have fully specified dimensions, and the inputs to the function |
| * are valid, then: |
| * - the execution should launch successfully (ErrorStatus::NONE): There |
| * must be no failure unless the device itself is in a bad state. |
| * - if at execution time every operation's input operands have legal |
| * values, the execution should complete successfully (ErrorStatus::NONE): |
| * There must be no failure unless the device itself is in a bad state. |
| * |
| * Any number of calls to the execute, execute_1_2, and executeSynchronously |
| * functions, in any combination, may be made concurrently, even on the same |
| * IPreparedModel object. |
| * |
| * @param request The input and output information on which the prepared |
| * model is to be executed. |
| * @param measure Specifies whether or not to measure duration of the execution. |
| * The duration runs from the time the driver sees the call |
| * to the execute_1_2 function to the time the driver invokes |
| * the callback. |
| * @param callback A callback object used to return the error status of |
| * the execution. The callback object's notify function must |
| * be called exactly once, even if the execution was |
| * unsuccessful. |
| * @return status Error status of the call, must be: |
| * - NONE if task is successfully launched |
| * - DEVICE_UNAVAILABLE if driver is offline or busy |
| * - GENERAL_FAILURE if there is an unspecified error |
| * - OUTPUT_INSUFFICIENT_SIZE if provided output buffer is |
| * not large enough to store the resultant values |
| * - INVALID_ARGUMENT if one of the input arguments is |
| * invalid |
| */ |
| virtual ::android::hardware::Return<::android::hardware::neuralnetworks::V1_0::ErrorStatus> execute_1_2(const ::android::hardware::neuralnetworks::V1_0::Request& request, ::android::hardware::neuralnetworks::V1_2::MeasureTiming measure, const ::android::sp<::android::hardware::neuralnetworks::V1_2::IExecutionCallback>& callback) = 0; |
| |
| /** |
| * Return callback for executeSynchronously |
| */ |
| using executeSynchronously_cb = std::function<void(::android::hardware::neuralnetworks::V1_0::ErrorStatus status, const ::android::hardware::hidl_vec<::android::hardware::neuralnetworks::V1_2::OutputShape>& outputShapes, const ::android::hardware::neuralnetworks::V1_2::Timing& timing)>; |
| /** |
| * Performs a synchronous execution on a prepared model. |
| * |
| * The execution is performed synchronously with respect to the caller. |
| * executeSynchronously must verify the inputs to the function are |
| * correct. If there is an error, executeSynchronously must immediately |
| * return with the appropriate ErrorStatus value. If the inputs to the |
| * function are valid and there is no error, executeSynchronously must |
| * perform the execution, and must not return until the execution is |
| * complete. |
| * |
| * The caller must not change the content of any data object referenced by |
| * 'request' (described by the {@link @1.0::DataLocation} of a |
| * {@link @1.0::RequestArgument}) until executeSynchronously |
| * returns. executeSynchronously must not change the content of any of the |
| * data objects corresponding to 'request' inputs. |
| * |
| * If the prepared model was prepared from a model wherein all tensor |
| * operands have fully specified dimensions, and the inputs to the function |
| * are valid, and at execution time every operation's input operands have |
| * legal values, then the execution should complete successfully |
| * (ErrorStatus::NONE): There must be no failure unless the device itself is |
| * in a bad state. |
| * |
| * Any number of calls to the execute, execute_1_2, and executeSynchronously |
| * functions, in any combination, may be made concurrently, even on the same |
| * IPreparedModel object. |
| * |
| * @param request The input and output information on which the prepared |
| * model is to be executed. |
| * @param measure Specifies whether or not to measure duration of the execution. |
| * The duration runs from the time the driver sees the call |
| * to the executeSynchronously function to the time the driver |
| * returns from the function. |
| * @return status Error status of the execution, must be: |
| * - NONE if execution is performed successfully |
| * - DEVICE_UNAVAILABLE if driver is offline or busy |
| * - GENERAL_FAILURE if there is an unspecified error |
| * - OUTPUT_INSUFFICIENT_SIZE if at least one output |
| * operand buffer is not large enough to store the |
| * corresponding output |
| * - INVALID_ARGUMENT if one of the input arguments is |
| * invalid |
| * @return outputShapes A list of shape information of model output operands. |
| * The index into "outputShapes" corresponds to the index |
| * of the output operand in the Request outputs vector. |
| * outputShapes must be empty unless the status is either |
| * NONE or OUTPUT_INSUFFICIENT_SIZE. |
| * @return Timing Duration of execution. Unless measure is YES and status is |
| * NONE, all times must be reported as UINT64_MAX. A driver may |
| * choose to report any time as UINT64_MAX, indicating that |
| * measurement is not available. |
| */ |
| virtual ::android::hardware::Return<void> executeSynchronously(const ::android::hardware::neuralnetworks::V1_0::Request& request, ::android::hardware::neuralnetworks::V1_2::MeasureTiming measure, executeSynchronously_cb _hidl_cb) = 0; |
| |
| /** |
| * Return callback for configureExecutionBurst |
| */ |
| using configureExecutionBurst_cb = std::function<void(::android::hardware::neuralnetworks::V1_0::ErrorStatus status, const ::android::sp<::android::hardware::neuralnetworks::V1_2::IBurstContext>& context)>; |
| /** |
| * Configure a Burst object used to execute multiple inferences on a |
| * prepared model in rapid succession. |
| * |
| * If the prepared model was prepared from a model wherein all tensor |
| * operands have fully specified dimensions, and a valid serialized Request |
| * is sent to the Burst for execution, and at execution time every |
| * operation's input operands have legal values, then the execution should |
| * complete successfully (ErrorStatus::NONE): There must be no failure |
| * unless the device itself is in a bad state. |
| * |
| * @param callback A callback object used to retrieve memory resources |
| * corresponding to unique identifiers ("slots"). |
| * @param requestChannel FMQ used by the client to send a serialized Request |
| * to the Burst for execution. The client must not |
| * change the content of any data object referenced by |
| * the Request (described by the |
| * {@link @1.0::DataLocation} of an |
| * {@link OperandInformation}) until a result has been |
| * received from resultChannel. Execution must not |
| * change the content of any of the data objects |
| * corresponding to Request inputs. requestChannel |
| * must not be used to pass a second Request object |
| * until a result has been received from |
| * resultChannel. The client must send the request |
| * messages to the consumer atomically by using |
| * MessageQueue::writeBlocking if the queue is |
| * blocking, or by using MessageQueue::write if the |
| * queue is non-blocking. When the service receives a |
| * packet, it must dequeue the entire packet from the |
| * requestChannel. The client must not send a request |
| * packet that exceeds the length of the FMQ. |
| * @param resultChannel FMQ used by the service to return the results of an |
| * execution to the client: the status of the |
| * execution, OutputShape of all output tensors, and |
| * timing information. resultChannel must be used to |
| * return the results if a Request was sent through the |
| * requestChannel. The service must send the result |
| * messages to the consumer atomically by using |
| * MessageQueue::writeBlocking if the queue is |
| * blocking, or by using MessageQueue::write if the |
| * queue is non-blocking. When the client receives a |
| * packet, it must dequeue the entire packet from the |
| * resultChannel. If the packet's length exceeds the |
| * size of the FMQ, the service must not send this |
| * result packet; instead, the service must send a |
| * packet consisting of the error code |
| * ErrorStatus::GENERAL_FAILURE, no information for the |
| * outputShapes, and an indication that timing |
| * information is unavailable. |
| * @return status Error status of configuring the execution burst, must be: |
| * - NONE if the burst is successfully configured |
| * - DEVICE_UNAVAILABLE if driver is offline or busy |
| * - GENERAL_FAILURE if there is an unspecified error |
| * - INVALID_ARGUMENT if one of the input arguments is |
| * invalid |
| * @return context Object containing all resources (such as cached |
| * hidl_memory) related to a Burst if successful, otherwise |
| * nullptr. |
| */ |
| virtual ::android::hardware::Return<void> configureExecutionBurst(const ::android::sp<::android::hardware::neuralnetworks::V1_2::IBurstCallback>& callback, const ::android::hardware::MQDescriptorSync<::android::hardware::neuralnetworks::V1_2::FmqRequestDatum>& requestChannel, const ::android::hardware::MQDescriptorSync<::android::hardware::neuralnetworks::V1_2::FmqResultDatum>& resultChannel, configureExecutionBurst_cb _hidl_cb) = 0; |
| |
| /** |
| * Launches an asynchronous execution on a prepared model. |
| * |
| * The execution is performed asynchronously with respect to the caller. |
| * execute_1_3 must verify the inputs to the function are correct, and the usages |
| * of memory pools allocated by IDevice::allocate are valid. If there is |
| * an error, execute_1_3 must immediately invoke the callback with the |
| * appropriate ErrorStatus value, then return with the same ErrorStatus. If |
| * the inputs to the function are valid and there is no error, execute_1_3 must |
| * launch an asynchronous task to perform the execution in the background, |
| * and immediately return with ErrorStatus::NONE. If the asynchronous task |
| * fails to launch, execute_1_3 must immediately invoke the callback with |
| * ErrorStatus::GENERAL_FAILURE, then return with |
| * ErrorStatus::GENERAL_FAILURE. |
| * |
| * When the asynchronous task has finished its execution, it must |
| * immediately invoke the callback object provided as an input to the |
| * execute_1_3 function. This callback must be provided with the ErrorStatus of |
| * the execution. |
| * |
| * If the launch is successful, the caller must not change the content of |
| * any data object referenced by 'request' (described by the |
| * {@link @1.0::DataLocation} of a {@link @1.0::RequestArgument}) until the |
| * asynchronous task has invoked the callback object. The asynchronous task |
| * must not change the content of any of the data objects corresponding to |
| * 'request' inputs. |
| * |
| * If the prepared model was prepared from a model wherein all tensor |
| * operands have fully specified dimensions, and the inputs to the function |
| * are valid, then: |
| * - the execution should launch successfully (ErrorStatus::NONE): There |
| * must be no failure unless the device itself is in a bad state. |
| * - if at execution time every operation's input operands have legal |
| * values, the execution should complete successfully (ErrorStatus::NONE): |
| * There must be no failure unless the device itself is in a bad state. |
| * |
| * execute_1_3 can be called with an optional deadline. If the execution |
| * is not able to be completed before the provided deadline, the execution |
| * may be aborted, and either {@link |
| * ErrorStatus::MISSED_DEADLINE_TRANSIENT} or {@link |
| * ErrorStatus::MISSED_DEADLINE_PERSISTENT} may be returned. The error due |
| * to an abort must be sent the same way as other errors, described above. |
| * |
| * Any number of calls to the execute* and executeSynchronously* functions, |
| * in any combination, may be made concurrently, even on the same |
| * IPreparedModel object. |
| * |
| * @param request The input and output information on which the prepared |
| * model is to be executed. |
| * @param measure Specifies whether or not to measure duration of the execution. |
| * The duration runs from the time the driver sees the call |
| * to the execute_1_3 function to the time the driver invokes |
| * the callback. |
| * @param deadline The time by which the execution is expected to complete. |
| * If the execution cannot be completed by the deadline, the |
| * execution may 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 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 |
| * be called exactly once, even if the execution was |
| * unsuccessful. |
| * @return status Error status of the call, must be: |
| * - NONE if task is successfully launched |
| * - DEVICE_UNAVAILABLE if driver is offline or busy |
| * - GENERAL_FAILURE if there is an unspecified error |
| * - OUTPUT_INSUFFICIENT_SIZE if provided output buffer is |
| * not large enough to store the resultant values |
| * - INVALID_ARGUMENT if one of the input arguments is |
| * invalid |
| * - MISSED_DEADLINE_* if the execution is aborted because it |
| * cannot be completed by the deadline |
| * - RESOURCE_EXHAUSTED_* if the task was aborted by the |
| * driver |
| */ |
| virtual ::android::hardware::Return<::android::hardware::neuralnetworks::V1_3::ErrorStatus> execute_1_3(const ::android::hardware::neuralnetworks::V1_3::Request& request, ::android::hardware::neuralnetworks::V1_2::MeasureTiming measure, const ::android::hardware::neuralnetworks::V1_3::OptionalTimePoint& deadline, const ::android::hardware::neuralnetworks::V1_3::OptionalTimeoutDuration& loopTimeoutDuration, const ::android::sp<::android::hardware::neuralnetworks::V1_3::IExecutionCallback>& callback) = 0; |
| |
| /** |
| * Return callback for executeSynchronously_1_3 |
| */ |
| using executeSynchronously_1_3_cb = std::function<void(::android::hardware::neuralnetworks::V1_3::ErrorStatus status, const ::android::hardware::hidl_vec<::android::hardware::neuralnetworks::V1_2::OutputShape>& outputShapes, const ::android::hardware::neuralnetworks::V1_2::Timing& timing)>; |
| /** |
| * Performs a synchronous execution on a prepared model. |
| * |
| * The execution is performed synchronously with respect to the caller. |
| * executeSynchronously_1_3 must verify the inputs to the function are |
| * correct, and the usages of memory pools allocated by IDevice::allocate |
| * are valid. If there is an error, executeSynchronously_1_3 must immediately |
| * return with the appropriate ErrorStatus value. If the inputs to the |
| * function are valid and there is no error, executeSynchronously_1_3 must |
| * perform the execution, and must not return until the execution is |
| * complete. |
| * |
| * The caller must not change the content of any data object referenced by |
| * 'request' (described by the {@link @1.0::DataLocation} of a |
| * {@link @1.0::RequestArgument}) until executeSynchronously_1_3 |
| * returns. executeSynchronously_1_3 must not change the content of any of the |
| * data objects corresponding to 'request' inputs. |
| * |
| * If the prepared model was prepared from a model wherein all tensor |
| * operands have fully specified dimensions, and the inputs to the function |
| * are valid, and at execution time every operation's input operands have |
| * legal values, then the execution should complete successfully |
| * (ErrorStatus::NONE): There must be no failure unless the device itself is |
| * in a bad state. |
| * |
| * executeSynchronously_1_3 may be called with an optional deadline. If the |
| * execution is not able to be completed before the provided deadline, the |
| * execution may be aborted, and either {@link |
| * ErrorStatus::MISSED_DEADLINE_TRANSIENT} or {@link |
| * ErrorStatus::MISSED_DEADLINE_PERSISTENT} may be returned. The error due |
| * to an abort must be sent the same way as other errors, described above. |
| * |
| * Any number of calls to the execute* and executeSynchronously* functions, |
| * in any combination, may be made concurrently, even on the same |
| * IPreparedModel object. |
| * |
| * @param request The input and output information on which the prepared |
| * model is to be executed. |
| * @param measure Specifies whether or not to measure duration of the execution. |
| * The duration runs from the time the driver sees the call |
| * to the executeSynchronously_1_3 function to the time the driver |
| * returns from the function. |
| * @param deadline The time by which the execution is expected to complete. |
| * If the execution cannot be finished by the deadline, the |
| * execution may 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 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 |
| * - GENERAL_FAILURE if there is an unspecified error |
| * - OUTPUT_INSUFFICIENT_SIZE if at least one output |
| * operand buffer is not large enough to store the |
| * corresponding output |
| * - INVALID_ARGUMENT if one of the input arguments is |
| * invalid |
| * - MISSED_DEADLINE_* if the execution is aborted because it |
| * cannot be completed by the deadline |
| * - RESOURCE_EXHAUSTED_* if the task was aborted by the |
| * driver |
| * @return outputShapes A list of shape information of model output operands. |
| * The index into "outputShapes" corresponds to the index |
| * of the output operand in the Request outputs vector. |
| * outputShapes must be empty unless the status is either |
| * NONE or OUTPUT_INSUFFICIENT_SIZE. |
| * @return timing Duration of execution. Unless measure is YES and status is |
| * NONE, all times must be reported as UINT64_MAX. A driver may |
| * choose to report any time as UINT64_MAX, indicating that |
| * measurement is not available. |
| */ |
| virtual ::android::hardware::Return<void> executeSynchronously_1_3(const ::android::hardware::neuralnetworks::V1_3::Request& request, ::android::hardware::neuralnetworks::V1_2::MeasureTiming measure, const ::android::hardware::neuralnetworks::V1_3::OptionalTimePoint& deadline, const ::android::hardware::neuralnetworks::V1_3::OptionalTimeoutDuration& loopTimeoutDuration, executeSynchronously_1_3_cb _hidl_cb) = 0; |
| |
| /** |
| * Return callback for executeFenced |
| */ |
| using executeFenced_cb = std::function<void(::android::hardware::neuralnetworks::V1_3::ErrorStatus status, const ::android::hardware::hidl_handle& syncFence, const ::android::sp<::android::hardware::neuralnetworks::V1_3::IFencedExecutionCallback>& callback)>; |
| /** |
| * Launch a fenced asynchronous execution on a prepared model. |
| * |
| * The execution is performed asynchronously with respect to the caller. |
| * executeFenced must verify the inputs to the function are correct, and the usages |
| * of memory pools allocated by IDevice::allocate are valid. If there is an error, |
| * executeFenced must immediately return with the corresponding ErrorStatus, an empty |
| * handle for syncFence, and nullptr for callback. If the inputs to the function |
| * are valid and there is no error, executeFenced must dispatch an asynchronous task |
| * to perform the execution in the background, and immediately return with |
| * ErrorStatus::NONE, a sync fence that will be signaled once the execution is completed, |
| * and a callback that can be used by the client to query the duration and runtime error |
| * status. If the task has finished before the call returns, an empty handle may be returned |
| * for syncFence. The execution must wait for all the sync fences (if any) in waitFor |
| * to be signaled before starting the actual execution. |
| * |
| * When the asynchronous task has finished its execution, it must |
| * immediately signal the syncFence returned from the executeFenced call. After |
| * the syncFence is signaled, the task must not modify the content of |
| * any data object referenced by 'request' (described by the |
| * {@link @1.0::DataLocation} of a {@link @1.0::RequestArgument}). |
| * |
| * executeFenced may be called with an optional deadline and an optional duration. |
| * If the execution is not able to be completed before the provided deadline or |
| * within the timeout duration (measured from when all sync fences in waitFor are |
| * signaled), whichever comes earlier, the execution may be aborted, and either |
| * {@link ErrorStatus::MISSED_DEADLINE_TRANSIENT} or {@link |
| * ErrorStatus::MISSED_DEADLINE_PERSISTENT} may be returned. The error due |
| * to an abort must be sent the same way as other errors, described above. |
| * |
| * If any of the sync fences in waitFor changes to error status after the executeFenced |
| * call succeeds, or the execution is aborted because it cannot finish before the deadline |
| * has been reached or the duration has elapsed, the driver must immediately set the returned |
| * syncFence to error status. |
| * |
| * Any number of calls to the executeFenced, execute* and executeSynchronously* |
| * functions, in any combination, may be made concurrently, even on the same |
| * IPreparedModel object. |
| * |
| * @param request The input and output information on which the prepared |
| * model is to be executed. The outputs in the request must have |
| * fully specified dimensions. |
| * @param waitFor A vector of sync fence file descriptors. |
| * Execution must not start until all sync fences have been signaled. |
| * @param measure Specifies whether or not to measure duration of the execution. |
| * @param deadline The time by which the execution is expected to complete. |
| * If the execution cannot be finished by the deadline, the |
| * execution may 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 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 is expected |
| * to complete after all sync fences in waitFor are signaled. |
| * If the execution cannot be finished within the duration, |
| * the execution may be aborted. |
| * @return status Error status of the call, must be: |
| * - NONE if task is successfully launched |
| * - DEVICE_UNAVAILABLE if driver is offline or busy |
| * - GENERAL_FAILURE if there is an unspecified error |
| * - INVALID_ARGUMENT if one of the input arguments is invalid, including |
| * fences in error states. |
| * - MISSED_DEADLINE_* if the execution is aborted because it |
| * cannot be completed by the deadline |
| * - RESOURCE_EXHAUSTED_* if the task was aborted by the |
| * driver |
| * @return syncFence The sync fence that will be signaled when the task is completed. |
| * The sync fence will be set to error if a critical error, |
| * e.g. hardware failure or kernel panic, occurs when doing execution. |
| * @return callback The IFencedExecutionCallback can be used to query information like duration |
| * and error status when the execution is completed. |
| */ |
| virtual ::android::hardware::Return<void> executeFenced(const ::android::hardware::neuralnetworks::V1_3::Request& request, const ::android::hardware::hidl_vec<::android::hardware::hidl_handle>& waitFor, ::android::hardware::neuralnetworks::V1_2::MeasureTiming measure, const ::android::hardware::neuralnetworks::V1_3::OptionalTimePoint& deadline, const ::android::hardware::neuralnetworks::V1_3::OptionalTimeoutDuration& loopTimeoutDuration, const ::android::hardware::neuralnetworks::V1_3::OptionalTimeoutDuration& duration, executeFenced_cb _hidl_cb) = 0; |
| |
| /** |
| * Return callback for interfaceChain |
| */ |
| using interfaceChain_cb = std::function<void(const ::android::hardware::hidl_vec<::android::hardware::hidl_string>& descriptors)>; |
| /* |
| * Provides run-time type information for this object. |
| * For example, for the following interface definition: |
| * package android.hardware.foo@1.0; |
| * interface IParent {}; |
| * interface IChild extends IParent {}; |
| * Calling interfaceChain on an IChild object must yield the following: |
| * ["android.hardware.foo@1.0::IChild", |
| * "android.hardware.foo@1.0::IParent" |
| * "android.hidl.base@1.0::IBase"] |
| * |
| * @return descriptors a vector of descriptors of the run-time type of the |
| * object. |
| */ |
| virtual ::android::hardware::Return<void> interfaceChain(interfaceChain_cb _hidl_cb) override; |
| |
| /* |
| * Emit diagnostic information to the given file. |
| * |
| * Optionally overriden. |
| * |
| * @param fd File descriptor to dump data to. |
| * Must only be used for the duration of this call. |
| * @param options Arguments for debugging. |
| * Must support empty for default debug information. |
| */ |
| virtual ::android::hardware::Return<void> debug(const ::android::hardware::hidl_handle& fd, const ::android::hardware::hidl_vec<::android::hardware::hidl_string>& options) override; |
| |
| /** |
| * Return callback for interfaceDescriptor |
| */ |
| using interfaceDescriptor_cb = std::function<void(const ::android::hardware::hidl_string& descriptor)>; |
| /* |
| * Provides run-time type information for this object. |
| * For example, for the following interface definition: |
| * package android.hardware.foo@1.0; |
| * interface IParent {}; |
| * interface IChild extends IParent {}; |
| * Calling interfaceDescriptor on an IChild object must yield |
| * "android.hardware.foo@1.0::IChild" |
| * |
| * @return descriptor a descriptor of the run-time type of the |
| * object (the first element of the vector returned by |
| * interfaceChain()) |
| */ |
| virtual ::android::hardware::Return<void> interfaceDescriptor(interfaceDescriptor_cb _hidl_cb) override; |
| |
| /** |
| * Return callback for getHashChain |
| */ |
| using getHashChain_cb = std::function<void(const ::android::hardware::hidl_vec<::android::hardware::hidl_array<uint8_t, 32>>& hashchain)>; |
| /* |
| * Returns hashes of the source HAL files that define the interfaces of the |
| * runtime type information on the object. |
| * For example, for the following interface definition: |
| * package android.hardware.foo@1.0; |
| * interface IParent {}; |
| * interface IChild extends IParent {}; |
| * Calling interfaceChain on an IChild object must yield the following: |
| * [(hash of IChild.hal), |
| * (hash of IParent.hal) |
| * (hash of IBase.hal)]. |
| * |
| * SHA-256 is used as the hashing algorithm. Each hash has 32 bytes |
| * according to SHA-256 standard. |
| * |
| * @return hashchain a vector of SHA-1 digests |
| */ |
| virtual ::android::hardware::Return<void> getHashChain(getHashChain_cb _hidl_cb) override; |
| |
| /* |
| * This method trigger the interface to enable/disable instrumentation based |
| * on system property hal.instrumentation.enable. |
| */ |
| virtual ::android::hardware::Return<void> setHALInstrumentation() override; |
| |
| /* |
| * Registers a death recipient, to be called when the process hosting this |
| * interface dies. |
| * |
| * @param recipient a hidl_death_recipient callback object |
| * @param cookie a cookie that must be returned with the callback |
| * @return success whether the death recipient was registered successfully. |
| */ |
| virtual ::android::hardware::Return<bool> linkToDeath(const ::android::sp<::android::hardware::hidl_death_recipient>& recipient, uint64_t cookie) override; |
| |
| /* |
| * Provides way to determine if interface is running without requesting |
| * any functionality. |
| */ |
| virtual ::android::hardware::Return<void> ping() override; |
| |
| /** |
| * Return callback for getDebugInfo |
| */ |
| using getDebugInfo_cb = std::function<void(const ::android::hidl::base::V1_0::DebugInfo& info)>; |
| /* |
| * Get debug information on references on this interface. |
| * @return info debugging information. See comments of DebugInfo. |
| */ |
| virtual ::android::hardware::Return<void> getDebugInfo(getDebugInfo_cb _hidl_cb) override; |
| |
| /* |
| * This method notifies the interface that one or more system properties |
| * have changed. The default implementation calls |
| * (C++) report_sysprop_change() in libcutils or |
| * (Java) android.os.SystemProperties.reportSyspropChanged, |
| * which in turn calls a set of registered callbacks (eg to update trace |
| * tags). |
| */ |
| virtual ::android::hardware::Return<void> notifySyspropsChanged() override; |
| |
| /* |
| * Unregisters the registered death recipient. If this service was registered |
| * multiple times with the same exact death recipient, this unlinks the most |
| * recently registered one. |
| * |
| * @param recipient a previously registered hidl_death_recipient callback |
| * @return success whether the death recipient was unregistered successfully. |
| */ |
| virtual ::android::hardware::Return<bool> unlinkToDeath(const ::android::sp<::android::hardware::hidl_death_recipient>& recipient) override; |
| |
| // cast static functions |
| /** |
| * This performs a checked cast based on what the underlying implementation actually is. |
| */ |
| static ::android::hardware::Return<::android::sp<::android::hardware::neuralnetworks::V1_3::IPreparedModel>> castFrom(const ::android::sp<::android::hardware::neuralnetworks::V1_3::IPreparedModel>& parent, bool emitError = false); |
| /** |
| * This performs a checked cast based on what the underlying implementation actually is. |
| */ |
| static ::android::hardware::Return<::android::sp<::android::hardware::neuralnetworks::V1_3::IPreparedModel>> castFrom(const ::android::sp<::android::hardware::neuralnetworks::V1_2::IPreparedModel>& parent, bool emitError = false); |
| /** |
| * This performs a checked cast based on what the underlying implementation actually is. |
| */ |
| static ::android::hardware::Return<::android::sp<::android::hardware::neuralnetworks::V1_3::IPreparedModel>> castFrom(const ::android::sp<::android::hardware::neuralnetworks::V1_0::IPreparedModel>& parent, bool emitError = false); |
| /** |
| * This performs a checked cast based on what the underlying implementation actually is. |
| */ |
| static ::android::hardware::Return<::android::sp<::android::hardware::neuralnetworks::V1_3::IPreparedModel>> castFrom(const ::android::sp<::android::hidl::base::V1_0::IBase>& parent, bool emitError = false); |
| |
| // helper methods for interactions with the hwservicemanager |
| /** |
| * This gets the service of this type with the specified instance name. If the |
| * service is currently not available or not in the VINTF manifest on a Trebilized |
| * device, this will return nullptr. This is useful when you don't want to block |
| * during device boot. If getStub is true, this will try to return an unwrapped |
| * passthrough implementation in the same process. This is useful when getting an |
| * implementation from the same partition/compilation group. |
| * |
| * In general, prefer getService(std::string,bool) |
| */ |
| static ::android::sp<IPreparedModel> tryGetService(const std::string &serviceName="default", bool getStub=false); |
| /** |
| * Deprecated. See tryGetService(std::string, bool) |
| */ |
| static ::android::sp<IPreparedModel> tryGetService(const char serviceName[], bool getStub=false) { std::string str(serviceName ? serviceName : ""); return tryGetService(str, getStub); } |
| /** |
| * Deprecated. See tryGetService(std::string, bool) |
| */ |
| static ::android::sp<IPreparedModel> tryGetService(const ::android::hardware::hidl_string& serviceName, bool getStub=false) { std::string str(serviceName.c_str()); return tryGetService(str, getStub); } |
| /** |
| * Calls tryGetService("default", bool). This is the recommended instance name for singleton services. |
| */ |
| static ::android::sp<IPreparedModel> tryGetService(bool getStub) { return tryGetService("default", getStub); } |
| /** |
| * This gets the service of this type with the specified instance name. If the |
| * service is not in the VINTF manifest on a Trebilized device, this will return |
| * nullptr. If the service is not available, this will wait for the service to |
| * become available. If the service is a lazy service, this will start the service |
| * and return when it becomes available. If getStub is true, this will try to |
| * return an unwrapped passthrough implementation in the same process. This is |
| * useful when getting an implementation from the same partition/compilation group. |
| */ |
| static ::android::sp<IPreparedModel> getService(const std::string &serviceName="default", bool getStub=false); |
| /** |
| * Deprecated. See getService(std::string, bool) |
| */ |
| static ::android::sp<IPreparedModel> getService(const char serviceName[], bool getStub=false) { std::string str(serviceName ? serviceName : ""); return getService(str, getStub); } |
| /** |
| * Deprecated. See getService(std::string, bool) |
| */ |
| static ::android::sp<IPreparedModel> getService(const ::android::hardware::hidl_string& serviceName, bool getStub=false) { std::string str(serviceName.c_str()); return getService(str, getStub); } |
| /** |
| * Calls getService("default", bool). This is the recommended instance name for singleton services. |
| */ |
| static ::android::sp<IPreparedModel> getService(bool getStub) { return getService("default", getStub); } |
| /** |
| * Registers a service with the service manager. For Trebilized devices, the service |
| * must also be in the VINTF manifest. |
| */ |
| __attribute__ ((warn_unused_result))::android::status_t registerAsService(const std::string &serviceName="default"); |
| /** |
| * Registers for notifications for when a service is registered. |
| */ |
| static bool registerForNotifications( |
| const std::string &serviceName, |
| const ::android::sp<::android::hidl::manager::V1_0::IServiceNotification> ¬ification); |
| }; |
| |
| // |
| // type declarations for package |
| // |
| |
| static inline std::string toString(const ::android::sp<::android::hardware::neuralnetworks::V1_3::IPreparedModel>& o); |
| |
| // |
| // type header definitions for package |
| // |
| |
| static inline std::string toString(const ::android::sp<::android::hardware::neuralnetworks::V1_3::IPreparedModel>& o) { |
| std::string os = "[class or subclass of "; |
| os += ::android::hardware::neuralnetworks::V1_3::IPreparedModel::descriptor; |
| os += "]"; |
| os += o->isRemote() ? "@remote" : "@local"; |
| return os; |
| } |
| |
| |
| } // namespace V1_3 |
| } // namespace neuralnetworks |
| } // namespace hardware |
| } // namespace android |
| |
| // |
| // global type declarations for package |
| // |
| |
| |
| #endif // HIDL_GENERATED_ANDROID_HARDWARE_NEURALNETWORKS_V1_3_IPREPAREDMODEL_H |