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 "Burst.h"
18 
19 #include <android-base/logging.h>
20 #include <nnapi/IBurst.h>
21 #include <nnapi/IPreparedModel.h>
22 #include <nnapi/Result.h>
23 #include <nnapi/TypeUtils.h>
24 #include <nnapi/Types.h>
25 
26 #include <memory>
27 #include <optional>
28 #include <utility>
29 
30 namespace android::hardware::neuralnetworks::V1_0::utils {
31 
create(nn::SharedPreparedModel preparedModel)32 nn::GeneralResult<std::shared_ptr<const Burst>> Burst::create(
33         nn::SharedPreparedModel preparedModel) {
34     if (preparedModel == nullptr) {
35         return NN_ERROR(nn::ErrorStatus::GENERAL_FAILURE)
36                << "V1_0::utils::Burst::create must have non-null preparedModel";
37     }
38 
39     return std::make_shared<const Burst>(PrivateConstructorTag{}, std::move(preparedModel));
40 }
41 
Burst(PrivateConstructorTag,nn::SharedPreparedModel preparedModel)42 Burst::Burst(PrivateConstructorTag /*tag*/, nn::SharedPreparedModel preparedModel)
43     : kPreparedModel(std::move(preparedModel)) {
44     CHECK(kPreparedModel != nullptr);
45 }
46 
cacheMemory(const nn::SharedMemory &) const47 Burst::OptionalCacheHold Burst::cacheMemory(const nn::SharedMemory& /*memory*/) const {
48     return nullptr;
49 }
50 
execute(const nn::Request & request,nn::MeasureTiming measure,const nn::OptionalTimePoint & deadline,const nn::OptionalDuration & loopTimeoutDuration) const51 nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>> Burst::execute(
52         const nn::Request& request, nn::MeasureTiming measure,
53         const nn::OptionalTimePoint& deadline,
54         const nn::OptionalDuration& loopTimeoutDuration) const {
55     return kPreparedModel->execute(request, measure, deadline, loopTimeoutDuration);
56 }
57 
createReusableExecution(const nn::Request & request,nn::MeasureTiming measure,const nn::OptionalDuration & loopTimeoutDuration) const58 nn::GeneralResult<nn::SharedExecution> Burst::createReusableExecution(
59         const nn::Request& request, nn::MeasureTiming measure,
60         const nn::OptionalDuration& loopTimeoutDuration) const {
61     return kPreparedModel->createReusableExecution(request, measure, loopTimeoutDuration);
62 }
63 
64 }  // namespace android::hardware::neuralnetworks::V1_0::utils
65