/* * 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_IBURST_H #define ANDROID_FRAMEWORKS_ML_NN_COMMON_NNAPI_IBURST_H #include #include #include #include #include #include #include "nnapi/Types.h" namespace android::nn { /** * IBurst represents a burst execution object. * * Burst executions are a sequence of executions of the same prepared model that occur in rapid * succession, such as frames of a camera capture or successive audio samples. A burst object is * used to control a set of burst executions, and to preserve resources between executions, enabling * executions to have lower overhead. Burst objects enable some optimizations: * (1) A burst object is created before a sequence of executions, and freed when the sequence has * ended. Because of this, the lifetime of the burst object hints to a driver how long it should * remain in a high performance state. * (2) A burst object can preserve resources between executions. For example, a driver can map a * memory object on the first execution and cache the mapping in the burst object for reuse in * subsequent executions. Any cached resource can be released when the burst object is destroyed * or when the NNAPI runtime notifies the burst object that the resource is no longer required. * (3) A burst object may be used for at most one execution at a time. This enables any transient * execution resources such as intermediate tensors to be allocated once when the burst object * is created and freed when the burst object is destroyed. * * This interface is thread-safe, and any class that implements this interface must be thread-safe. */ class IBurst { public: using OptionalCacheHold = std::shared_ptr>>; /** * Cache a memory object in the burst. * * This can enable multiple executions that reuse the same memory to be more efficient. * * @param memory The memory object to be cached as long as CacheHandle is held. * @return An optional cache handle that will release the corresponding cahced object once the * cache handle is released, or nullptr. */ virtual OptionalCacheHold cacheMemory(const SharedMemory& memory) const = 0; /** * Performs a synchronous execution on a prepared model. * * At most one execution may occur on a burst object at any given time. * * The execution is performed synchronously with respect to the caller. IBurst::execute must * verify the inputs to the function are correct. If there is an error, IBurst::execute must * immediately return {@link ErrorStatus::INVALID_ARGUMENT} as a ExecutionError. If the inputs * to the function are valid and there is no error, IBurst::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 IBurst::execute returns. * IBurst::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. * * @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 kControlFlowTimeoutDefault}. When provided, the * duration must not exceed {@link kControlFlowTimeoutMaximum}. * @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 std::nullopt. A driver may choose to report any time as * std::nullopt, indicating that measurement is not available. */ virtual ExecutionResult, Timing>> execute( const Request& request, MeasureTiming measure, const nn::OptionalTimePoint& deadline, const nn::OptionalDuration& loopTimeoutDuration) const = 0; /** * Create a reusable burst execution object. * * IBurst::createReusableExecution must verify the inputs to the function are correct. If there * is an error, IBurst::createReusableExecution must immediately return {@link * ErrorStatus::INVALID_ARGUMENT} as a GeneralError. If the inputs to the function are valid and * there is no error, IBurst::createReusableExecution must construct a reusable execution. * * @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 computation. * @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 kControlFlowTimeoutDefault}. When provided, the * duration must not exceed {@link kControlFlowTimeoutMaximum}. * @return execution An IExecution object representing a reusable burst execution that has been * specialized for a fixed request, otherwise GeneralError. */ virtual GeneralResult createReusableExecution( const Request& request, MeasureTiming measure, const nn::OptionalDuration& loopTimeoutDuration) const = 0; // Public virtual destructor to allow objects to be stored (and destroyed) as smart pointers. // E.g., std::unique_ptr. virtual ~IBurst() = default; protected: // Protect the non-destructor special member functions to prevent object slicing. IBurst() = default; IBurst(const IBurst&) = default; IBurst(IBurst&&) noexcept = default; IBurst& operator=(const IBurst&) = default; IBurst& operator=(IBurst&&) noexcept = default; }; } // namespace android::nn #endif // ANDROID_FRAMEWORKS_ML_NN_COMMON_NNAPI_IBURST_H