/* * Copyright (C) 2020 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. */ #ifndef ANDROID_FRAMEWORKS_ML_NN_COMMON_NNAPI_IPREPARED_MODEL_H #define ANDROID_FRAMEWORKS_ML_NN_COMMON_NNAPI_IPREPARED_MODEL_H #include #include #include #include #include #include "nnapi/Types.h" namespace android::nn { // Returns status, timingLaunched, timingFenced using ExecuteFencedInfoCallback = std::function>()>; /** * IPreparedModel describes a model that has been prepared for execution and is used to launch * executions. * * This interface is thread-safe, and any class that implements this interface must be thread-safe. */ class IPreparedModel { public: /** * Performs a synchronous execution on a prepared model. * * The execution is performed synchronously with respect to the caller. IPreparedModel::execute * must verify the inputs to the function are correct. If there is an error, * IPreparedModel::execute must immediately return {@link ErrorStatus::INVALID_ARGUMENT} as a * ExecutionError. If the inputs to the function are valid and there is no error, * IPreparedModel::execute 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 DataLocation} of a {@link RequestArgument}) until IPreparedModel::execute returns. * IPreparedModel::execute 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. There must be no failure unless the device itself is in a bad state. * * IPreparedModel::execute 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 as a ExecutionError. * * @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. * @param deadline Optional time point. If provided, execute is expected to complete by this * time point. If it is not able to 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}. * @return A pair consisting of: * - 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 execution is successful or the ExecutionResult is * {@link ErrorStatus::OUTPUT_INSUFFICIENT_SIZE}. outputShapes may be empty if the * execution is successful and all model output operands are fully-specified at execution * time. outputShapes must have the same number of elements as the number of model output * operands if the ExecutionResult is {@link ErrorStatus::OUTPUT_INSUFFICIENT_SIZE}, or if * the execution is successful and the model has at least one output operand that is not * fully-specified. * - Duration of execution. Unless measure is YES and the execution is successful, 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 ExecutionResult, Timing>> execute( const Request& request, MeasureTiming measure, const OptionalTimePoint& deadline, const OptionalTimeoutDuration& loopTimeoutDuration) const = 0; /** * Launch a fenced asynchronous execution on a prepared model. * * The execution is performed asynchronously with respect to the caller. * IPreparedModel::executeFenced must verify its inputs are correct, and the usages of memory * pools allocated by IDevice::allocate are valid. If there is an error, * IPreparedModel::executeFenced must immediately return {@link ErrorStatus::INVALID_ARGUMENT} * as a GeneralError. If the inputs to the function are valid and there is no error, * IPreparedModel::executeFenced must dispatch an asynchronous task to perform the execution in * the background, and immediately return with 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 IPreparedModel::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 DataLocation} of a {@link Request::Argument}). * * IPreparedModel::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 as an GeneralError. 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 * IPreparedModel::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. * * @param request The input and output information on which the prepared model is to be * executed. * @param waitFor A vector of sync fence file descriptors. The execution must wait for all sync * fence to be signaled before starting the task. * @param measure Specifies whether or not to measure duration of the execution. * @param deadline The time by which 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 timeoutDurationAfterFence The timeout duration within which the execution is expected * to complete after all sync fences in waitFor are signaled. * @return A pair consisting of: * - A syncFence that will be triggered when the task is completed. The syncFence will be * set to error if critical error occurs when doing actual evaluation. * - A callback can be used to query information like duration and detailed runtime error * status when the task is completed. */ virtual GeneralResult> executeFenced( const Request& request, const std::vector& waitFor, MeasureTiming measure, const OptionalTimePoint& deadline, const OptionalTimeoutDuration& loopTimeoutDuration, const OptionalTimeoutDuration& timeoutDurationAfterFence) const = 0; /** * Return the resource that the IPreparedModel wraps, or any empty std::any. * * This method is used for IDevice::allocate. * * @return std::any containing the underlying resource. */ virtual std::any getUnderlyingResource() const = 0; // Public virtual destructor to allow objects to be stored (and destroyed) as smart pointers. // E.g., std::unique_ptr. virtual ~IPreparedModel() = default; protected: // Protect the non-destructor special member functions to prevent object slicing. IPreparedModel() = default; IPreparedModel(const IPreparedModel&) = default; IPreparedModel(IPreparedModel&&) noexcept = default; IPreparedModel& operator=(const IPreparedModel&) = default; IPreparedModel& operator=(IPreparedModel&&) noexcept = default; }; } // namespace android::nn #endif // ANDROID_FRAMEWORKS_ML_NN_COMMON_NNAPI_IPREPARED_MODEL_H