1 /*
2  * Copyright (C) 2020 The Android Open Source Project
3  *
4  * Licensed under the Apache License, Version 2.0 (the "License");
5  * you may not use this file except in compliance with the License.
6  * You may obtain a copy of the License at
7  *
8  *      http://www.apache.org/licenses/LICENSE-2.0
9  *
10  * Unless required by applicable law or agreed to in writing, software
11  * distributed under the License is distributed on an "AS IS" BASIS,
12  * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13  * See the License for the specific language governing permissions and
14  * limitations under the License.
15  */
16 
17 #include "InvalidPreparedModel.h"
18 
19 #include <nnapi/IPreparedModel.h>
20 #include <nnapi/Result.h>
21 #include <nnapi/Types.h>
22 
23 #include <memory>
24 #include <utility>
25 #include <vector>
26 
27 namespace android::hardware::neuralnetworks::utils {
28 
29 nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>>
execute(const nn::Request &,nn::MeasureTiming,const nn::OptionalTimePoint &,const nn::OptionalDuration &) const30 InvalidPreparedModel::execute(const nn::Request& /*request*/, nn::MeasureTiming /*measure*/,
31                               const nn::OptionalTimePoint& /*deadline*/,
32                               const nn::OptionalDuration& /*loopTimeoutDuration*/) const {
33     return NN_ERROR() << "InvalidPreparedModel";
34 }
35 
36 nn::GeneralResult<std::pair<nn::SyncFence, nn::ExecuteFencedInfoCallback>>
executeFenced(const nn::Request &,const std::vector<nn::SyncFence> &,nn::MeasureTiming,const nn::OptionalTimePoint &,const nn::OptionalDuration &,const nn::OptionalDuration &) const37 InvalidPreparedModel::executeFenced(
38         const nn::Request& /*request*/, const std::vector<nn::SyncFence>& /*waitFor*/,
39         nn::MeasureTiming /*measure*/, const nn::OptionalTimePoint& /*deadline*/,
40         const nn::OptionalDuration& /*loopTimeoutDuration*/,
41         const nn::OptionalDuration& /*timeoutDurationAfterFence*/) const {
42     return NN_ERROR() << "InvalidPreparedModel";
43 }
44 
createReusableExecution(const nn::Request &,nn::MeasureTiming,const nn::OptionalDuration &) const45 nn::GeneralResult<nn::SharedExecution> InvalidPreparedModel::createReusableExecution(
46         const nn::Request& /*request*/, nn::MeasureTiming /*measure*/,
47         const nn::OptionalDuration& /*loopTimeoutDuration*/) const {
48     return NN_ERROR() << "InvalidPreparedModel";
49 }
50 
configureExecutionBurst() const51 nn::GeneralResult<nn::SharedBurst> InvalidPreparedModel::configureExecutionBurst() const {
52     return NN_ERROR() << "InvalidPreparedModel";
53 }
54 
getUnderlyingResource() const55 std::any InvalidPreparedModel::getUnderlyingResource() const {
56     return {};
57 }
58 
59 }  // namespace android::hardware::neuralnetworks::utils
60