mirror of
https://github.com/Evolution-X/hardware_interfaces
synced 2026-02-01 11:36:00 +00:00
b2e8085ce2
This CL modifies the canonical interface for reusable burst executions:
- Add new method IBurst::createExecution
The reusable burst execution will not fallback to another execution path
if sending request packet fails. The behavior of single-time burst
execution remains unchanged.
Additionally, this CL enables pointer -> shared memory conversion in
1.2/1.3 burst implementation.
Bug: 184073769
Test: NNT_static
Test: neuralnetworks_utils_hal_1_0_test
Test: neuralnetworks_utils_hal_1_1_test
Test: neuralnetworks_utils_hal_1_2_test
Test: neuralnetworks_utils_hal_1_3_test
Test: neuralnetworks_utils_hal_common_test
Change-Id: Iaac81668d247c2cb76d70e6abbd10f00b397b19f
Merged-In: Iaac81668d247c2cb76d70e6abbd10f00b397b19f
(cherry picked from commit ead6d37ae9)
65 lines
2.3 KiB
C++
65 lines
2.3 KiB
C++
/*
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* Copyright (C) 2020 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 "Burst.h"
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#include <android-base/logging.h>
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#include <nnapi/IBurst.h>
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#include <nnapi/IPreparedModel.h>
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#include <nnapi/Result.h>
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#include <nnapi/TypeUtils.h>
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#include <nnapi/Types.h>
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#include <memory>
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#include <optional>
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#include <utility>
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namespace android::hardware::neuralnetworks::V1_0::utils {
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nn::GeneralResult<std::shared_ptr<const Burst>> Burst::create(
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nn::SharedPreparedModel preparedModel) {
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if (preparedModel == nullptr) {
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return NN_ERROR(nn::ErrorStatus::GENERAL_FAILURE)
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<< "V1_0::utils::Burst::create must have non-null preparedModel";
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}
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return std::make_shared<const Burst>(PrivateConstructorTag{}, std::move(preparedModel));
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}
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Burst::Burst(PrivateConstructorTag /*tag*/, nn::SharedPreparedModel preparedModel)
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: kPreparedModel(std::move(preparedModel)) {
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CHECK(kPreparedModel != nullptr);
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}
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Burst::OptionalCacheHold Burst::cacheMemory(const nn::SharedMemory& /*memory*/) const {
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return nullptr;
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}
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nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>> Burst::execute(
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const nn::Request& request, nn::MeasureTiming measure,
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const nn::OptionalTimePoint& deadline,
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const nn::OptionalDuration& loopTimeoutDuration) const {
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return kPreparedModel->execute(request, measure, deadline, loopTimeoutDuration);
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}
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nn::GeneralResult<nn::SharedExecution> Burst::createReusableExecution(
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const nn::Request& request, nn::MeasureTiming measure,
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const nn::OptionalDuration& loopTimeoutDuration) const {
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return kPreparedModel->createReusableExecution(request, measure, loopTimeoutDuration);
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}
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} // namespace android::hardware::neuralnetworks::V1_0::utils
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