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Commit fe548fea authored by Michael Butler's avatar Michael Butler Committed by Automerger Merge Worker
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Implement partial canonical Burst in NN util code am: 95331510 

Original change: https://android-review.googlesource.com/c/platform/hardware/interfaces/+/1554337

MUST ONLY BE SUBMITTED BY AUTOMERGER

Change-Id: Ifdded08bad42f3f0a61ccfe5cccfb21cdc72c633
parents 54c9f546 95331510

neuralnetworks/1.0/utils/include/nnapi/hal/1.0/Burst.h

0 → 100644
+55 −0
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/*

 * 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.

 */



#ifndef ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_0_UTILS_BURST_H

#define ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_0_UTILS_BURST_H



#include <nnapi/IBurst.h>

#include <nnapi/IPreparedModel.h>

#include <nnapi/Result.h>

#include <nnapi/Types.h>



#include <memory>

#include <optional>

#include <utility>



// See hardware/interfaces/neuralnetworks/utils/README.md for more information on HIDL interface

// lifetimes across processes and for protecting asynchronous calls across HIDL.



namespace android::hardware::neuralnetworks::V1_0::utils {



// Class that adapts nn::IPreparedModel to nn::IBurst.

class Burst final : public nn::IBurst {

    struct PrivateConstructorTag {};



  public:

    static nn::GeneralResult<std::shared_ptr<const Burst>> create(

            nn::SharedPreparedModel preparedModel);



    Burst(PrivateConstructorTag tag, nn::SharedPreparedModel preparedModel);



    OptionalCacheHold cacheMemory(const nn::Memory& memory) const override;



    nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>> execute(

            const nn::Request& request, nn::MeasureTiming measure) const override;



  private:

    const nn::SharedPreparedModel kPreparedModel;

};



}  // namespace android::hardware::neuralnetworks::V1_0::utils



#endif  // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_0_UTILS_BURST_H

neuralnetworks/1.0/utils/include/nnapi/hal/1.0/PreparedModel.h

+2 −1
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@@ -35,7 +35,8 @@ 
namespace android::hardware::neuralnetworks::V1_0::utils {



// Class that adapts V1_0::IPreparedModel to nn::IPreparedModel.

class PreparedModel final : public nn::IPreparedModel {

class PreparedModel final : public nn::IPreparedModel,

                            public std::enable_shared_from_this<PreparedModel> {

    struct PrivateConstructorTag {};



  public:

neuralnetworks/1.0/utils/src/Burst.cpp

0 → 100644
+55 −0
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/*

 * 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 "Burst.h"



#include <android-base/logging.h>

#include <nnapi/IBurst.h>

#include <nnapi/IPreparedModel.h>

#include <nnapi/Result.h>

#include <nnapi/Types.h>



#include <memory>

#include <optional>

#include <utility>



namespace android::hardware::neuralnetworks::V1_0::utils {



nn::GeneralResult<std::shared_ptr<const Burst>> Burst::create(

        nn::SharedPreparedModel preparedModel) {

    if (preparedModel == nullptr) {

        return NN_ERROR(nn::ErrorStatus::GENERAL_FAILURE)

               << "V1_0::utils::Burst::create must have non-null preparedModel";

    }



    return std::make_shared<const Burst>(PrivateConstructorTag{}, std::move(preparedModel));

}



Burst::Burst(PrivateConstructorTag /*tag*/, nn::SharedPreparedModel preparedModel)

    : kPreparedModel(std::move(preparedModel)) {

    CHECK(kPreparedModel != nullptr);

}



Burst::OptionalCacheHold Burst::cacheMemory(const nn::Memory& /*memory*/) const {

    return nullptr;

}



nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>> Burst::execute(

        const nn::Request& request, nn::MeasureTiming measure) const {

    return kPreparedModel->execute(request, measure, {}, {});

}



}  // namespace android::hardware::neuralnetworks::V1_0::utils

neuralnetworks/1.0/utils/src/PreparedModel.cpp

+2 −1
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@@ -16,6 +16,7 @@ 


#include "PreparedModel.h"



#include "Burst.h"

#include "Callbacks.h"

#include "Conversions.h"

#include "Utils.h"
@@ -91,7 +92,7 @@ PreparedModel::executeFenced(const nn::Request& /*request*/, 
}



nn::GeneralResult<nn::SharedBurst> PreparedModel::configureExecutionBurst() const {

    return NN_ERROR(nn::ErrorStatus::GENERAL_FAILURE) << "Not yet implemented";

    return Burst::create(shared_from_this());

}



std::any PreparedModel::getUnderlyingResource() const {

neuralnetworks/1.2/utils/include/nnapi/hal/1.2/PreparedModel.h

+2 −1
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@@ -36,7 +36,8 @@ 
namespace android::hardware::neuralnetworks::V1_2::utils {



// Class that adapts V1_2::IPreparedModel to nn::IPreparedModel.

class PreparedModel final : public nn::IPreparedModel {

class PreparedModel final : public nn::IPreparedModel,

                            public std::enable_shared_from_this<PreparedModel> {

    struct PrivateConstructorTag {};



  public: