diff options
Diffstat (limited to 'neuralnetworks/1.0/utils/src/Burst.cpp')
-rw-r--r-- | neuralnetworks/1.0/utils/src/Burst.cpp | 55 |
1 files changed, 55 insertions, 0 deletions
diff --git a/neuralnetworks/1.0/utils/src/Burst.cpp b/neuralnetworks/1.0/utils/src/Burst.cpp new file mode 100644 index 0000000000..384bd9b699 --- /dev/null +++ b/neuralnetworks/1.0/utils/src/Burst.cpp @@ -0,0 +1,55 @@ +/* + * 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 |