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* Copyright (C) 2017 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
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* See the License for the specific language governing permissions and
* limitations under the License.
package android.hardware.neuralnetworks@1.0;
import IExecutionCallback;
* IPreparedModel describes a model that has been prepared for execution and
* is used to launch executions.
interface IPreparedModel {
* 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
* 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.
* 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
execute(Request request, IExecutionCallback callback)
generates (ErrorStatus status);