platform_hardware_interfaces/neuralnetworks/1.3/IPreparedModel.hal
Xusong Wang 1b3f426648 NN HAL: Upgrade IPreparedModel::execute to 1.3.
Bug: 143242728
Test: 1.3 VTS with sample driver
Change-Id: I9ca1e28ddc97fe880a72885afe7afb6c93903697
Merged-In: I9ca1e28ddc97fe880a72885afe7afb6c93903697
(cherry picked from commit 62a760c32d)
2019-11-19 12:18:41 -08:00

90 lines
4.5 KiB
Text

/*
* Copyright (C) 2019 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.
*/
package android.hardware.neuralnetworks@1.3;
import @1.0::ErrorStatus;
import @1.0::Request;
import @1.2::MeasureTiming;
import @1.2::IExecutionCallback;
import @1.2::IPreparedModel;
/**
* IPreparedModel describes a model that has been prepared for execution and
* is used to launch executions.
*/
interface IPreparedModel extends @1.2::IPreparedModel {
/**
* 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. 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.
*
* Any number of calls to the execute, execute_1_2, execute_1_3, 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 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
*/
execute_1_3(Request request, MeasureTiming measure, IExecutionCallback callback)
generates (ErrorStatus status);
};