96 lines
4.1 KiB
C++
96 lines
4.1 KiB
C++
/*
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* Copyright (C) 2021 The Android Open Source Project
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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#include "Execution.h"
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#include "Conversions.h"
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#include "PreparedModel.h"
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#include "Utils.h"
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#include <aidl/android/hardware/neuralnetworks/Request.h>
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#include <nnapi/IExecution.h>
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#include <nnapi/Result.h>
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#include <nnapi/Types.h>
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#include <nnapi/hal/CommonUtils.h>
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#include <memory>
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#include <utility>
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#include <vector>
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// See hardware/interfaces/neuralnetworks/utils/README.md for more information on HIDL interface
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// lifetimes across processes and for protecting asynchronous calls across HIDL.
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namespace aidl::android::hardware::neuralnetworks::utils {
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nn::GeneralResult<std::shared_ptr<const ExecutionWithCachedRequest>>
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ExecutionWithCachedRequest::create(std::shared_ptr<const PreparedModel> preparedModel,
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Request request, hal::utils::RequestRelocation relocation,
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bool measure, int64_t loopTimeoutDuration) {
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if (preparedModel == nullptr) {
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return NN_ERROR() << "aidl::utils::ExecutionWithCachedRequest::create must have non-null "
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"preparedModel";
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}
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return std::make_shared<const ExecutionWithCachedRequest>(
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PrivateConstructorTag{}, std::move(preparedModel), std::move(request),
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std::move(relocation), measure, loopTimeoutDuration);
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}
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ExecutionWithCachedRequest::ExecutionWithCachedRequest(
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PrivateConstructorTag /*tag*/, std::shared_ptr<const PreparedModel> preparedModel,
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Request request, hal::utils::RequestRelocation relocation, bool measure,
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int64_t loopTimeoutDuration)
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: kPreparedModel(std::move(preparedModel)),
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kRequest(std::move(request)),
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kRelocation(std::move(relocation)),
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kMeasure(measure),
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kLoopTimeoutDuration(loopTimeoutDuration) {}
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nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>>
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ExecutionWithCachedRequest::compute(const nn::OptionalTimePoint& deadline) const {
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const auto aidlDeadline = NN_TRY(convert(deadline));
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return kPreparedModel->executeInternal(kRequest, kMeasure, aidlDeadline, kLoopTimeoutDuration,
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{}, {}, kRelocation);
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}
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nn::GeneralResult<std::pair<nn::SyncFence, nn::ExecuteFencedInfoCallback>>
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ExecutionWithCachedRequest::computeFenced(
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const std::vector<nn::SyncFence>& waitFor, const nn::OptionalTimePoint& deadline,
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const nn::OptionalDuration& timeoutDurationAfterFence) const {
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const auto aidlWaitFor = NN_TRY(convert(waitFor));
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const auto aidlDeadline = NN_TRY(convert(deadline));
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const auto aidlTimeoutDurationAfterFence = NN_TRY(convert(timeoutDurationAfterFence));
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return kPreparedModel->executeFencedInternal(
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kRequest, aidlWaitFor, kMeasure, aidlDeadline, kLoopTimeoutDuration,
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aidlTimeoutDurationAfterFence, {}, {}, kRelocation);
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}
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nn::GeneralResult<std::shared_ptr<const Execution>> Execution::create(
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std::shared_ptr<aidl_hal::IExecution> execution, hal::utils::RequestRelocation relocation) {
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if (execution == nullptr) {
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return NN_ERROR() << "aidl::utils::Execution::create must have non-null execution";
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}
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return std::make_shared<const Execution>(PrivateConstructorTag{}, std::move(execution),
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std::move(relocation));
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}
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Execution::Execution(PrivateConstructorTag /*tag*/, std::shared_ptr<aidl_hal::IExecution> execution,
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hal::utils::RequestRelocation relocation)
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: kExecution(std::move(execution)), kRelocation(std::move(relocation)) {}
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} // namespace aidl::android::hardware::neuralnetworks::utils
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