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 &,const std::vector<nn::TokenValuePair> &,const std::vector<nn::ExtensionNameAndPrefix> &) const30 InvalidPreparedModel::execute(
31 const nn::Request& /*request*/, nn::MeasureTiming /*measure*/,
32 const nn::OptionalTimePoint& /*deadline*/,
33 const nn::OptionalDuration& /*loopTimeoutDuration*/,
34 const std::vector<nn::TokenValuePair>& /*hints*/,
35 const std::vector<nn::ExtensionNameAndPrefix>& /*extensionNameToPrefix*/) const {
36 return NN_ERROR() << "InvalidPreparedModel";
37 }
38
39 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 &,const std::vector<nn::TokenValuePair> &,const std::vector<nn::ExtensionNameAndPrefix> &) const40 InvalidPreparedModel::executeFenced(
41 const nn::Request& /*request*/, const std::vector<nn::SyncFence>& /*waitFor*/,
42 nn::MeasureTiming /*measure*/, const nn::OptionalTimePoint& /*deadline*/,
43 const nn::OptionalDuration& /*loopTimeoutDuration*/,
44 const nn::OptionalDuration& /*timeoutDurationAfterFence*/,
45 const std::vector<nn::TokenValuePair>& /*hints*/,
46 const std::vector<nn::ExtensionNameAndPrefix>& /*extensionNameToPrefix*/) const {
47 return NN_ERROR() << "InvalidPreparedModel";
48 }
49
createReusableExecution(const nn::Request &,nn::MeasureTiming,const nn::OptionalDuration &,const std::vector<nn::TokenValuePair> &,const std::vector<nn::ExtensionNameAndPrefix> &) const50 nn::GeneralResult<nn::SharedExecution> InvalidPreparedModel::createReusableExecution(
51 const nn::Request& /*request*/, nn::MeasureTiming /*measure*/,
52 const nn::OptionalDuration& /*loopTimeoutDuration*/,
53 const std::vector<nn::TokenValuePair>& /*hints*/,
54 const std::vector<nn::ExtensionNameAndPrefix>& /*extensionNameToPrefix*/) const {
55 return NN_ERROR() << "InvalidPreparedModel";
56 }
57
configureExecutionBurst() const58 nn::GeneralResult<nn::SharedBurst> InvalidPreparedModel::configureExecutionBurst() const {
59 return NN_ERROR() << "InvalidPreparedModel";
60 }
61
getUnderlyingResource() const62 std::any InvalidPreparedModel::getUnderlyingResource() const {
63 return {};
64 }
65
66 } // namespace android::hardware::neuralnetworks::utils
67