blob: a46f4ac574b14ad453029b63b5d3eede2ef9ced3 [file] [log] [blame]
/*
* 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.
*/
#include "InvalidPreparedModel.h"
#include <nnapi/IPreparedModel.h>
#include <nnapi/Result.h>
#include <nnapi/Types.h>
#include <memory>
#include <utility>
#include <vector>
namespace android::hardware::neuralnetworks::utils {
nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>>
InvalidPreparedModel::execute(const nn::Request& /*request*/, nn::MeasureTiming /*measure*/,
const nn::OptionalTimePoint& /*deadline*/,
const nn::OptionalDuration& /*loopTimeoutDuration*/) const {
return NN_ERROR() << "InvalidPreparedModel";
}
nn::GeneralResult<std::pair<nn::SyncFence, nn::ExecuteFencedInfoCallback>>
InvalidPreparedModel::executeFenced(
const nn::Request& /*request*/, const std::vector<nn::SyncFence>& /*waitFor*/,
nn::MeasureTiming /*measure*/, const nn::OptionalTimePoint& /*deadline*/,
const nn::OptionalDuration& /*loopTimeoutDuration*/,
const nn::OptionalDuration& /*timeoutDurationAfterFence*/) const {
return NN_ERROR() << "InvalidPreparedModel";
}
std::any InvalidPreparedModel::getUnderlyingResource() const {
return {};
}
} // namespace android::hardware::neuralnetworks::utils