mirror of
https://github.com/Evolution-X/hardware_interfaces
synced 2026-02-01 16:50:18 +00:00
ff9a5a527a
This change allows GeneralErrors to be created from a string and allows ExecutionErrors to be created from a string or a GeneralError. This makes error handling more terse, removing the need for helper functions such as makeGeneralFailure or makeExecutionFailure. Bug: N/A Test: mma Change-Id: I8c5e80a2eb4f399fad64aab763fe6fa08cf8d1db
124 lines
4.7 KiB
C++
124 lines
4.7 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 "Callbacks.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 <android/hardware/neuralnetworks/1.0/types.h>
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#include <android/hardware/neuralnetworks/1.2/IExecutionCallback.h>
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#include <android/hardware/neuralnetworks/1.2/IPreparedModelCallback.h>
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#include <android/hardware/neuralnetworks/1.2/types.h>
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#include <nnapi/IPreparedModel.h>
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#include <nnapi/Result.h>
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#include <nnapi/Types.h>
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#include <nnapi/hal/1.0/Callbacks.h>
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#include <nnapi/hal/1.0/Conversions.h>
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#include <nnapi/hal/1.0/PreparedModel.h>
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#include <nnapi/hal/CommonUtils.h>
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#include <nnapi/hal/HandleError.h>
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#include <nnapi/hal/ProtectCallback.h>
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#include <nnapi/hal/TransferValue.h>
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#include <utility>
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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 android::hardware::neuralnetworks::V1_2::utils {
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namespace {
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nn::GeneralResult<nn::SharedPreparedModel> prepareModelCallback(
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V1_0::ErrorStatus status, const sp<V1_0::IPreparedModel>& preparedModel) {
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if (const auto dynamicPreparedModel =
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V1_2::IPreparedModel::castFrom(preparedModel).withDefault(nullptr)) {
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return V1_2::utils::prepareModelCallback(status, dynamicPreparedModel);
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}
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return V1_0::utils::prepareModelCallback(status, preparedModel);
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}
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nn::GeneralResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>>
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convertExecutionGeneralResultsHelper(const hidl_vec<OutputShape>& outputShapes,
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const Timing& timing) {
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return std::make_pair(NN_TRY(nn::convert(outputShapes)), NN_TRY(nn::convert(timing)));
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}
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} // namespace
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nn::GeneralResult<nn::SharedPreparedModel> prepareModelCallback(
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V1_0::ErrorStatus status, const sp<IPreparedModel>& preparedModel) {
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HANDLE_HAL_STATUS(status) << "model preparation failed with " << toString(status);
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return NN_TRY(PreparedModel::create(preparedModel, /*executeSynchronously=*/true));
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}
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nn::ExecutionResult<std::pair<std::vector<nn::OutputShape>, nn::Timing>> executionCallback(
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V1_0::ErrorStatus status, const hidl_vec<OutputShape>& outputShapes, const Timing& timing) {
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if (status == V1_0::ErrorStatus::OUTPUT_INSUFFICIENT_SIZE) {
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auto canonicalOutputShapes =
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nn::convert(outputShapes).value_or(std::vector<nn::OutputShape>{});
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return NN_ERROR(nn::ErrorStatus::OUTPUT_INSUFFICIENT_SIZE, std::move(canonicalOutputShapes))
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<< "execution failed with " << toString(status);
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}
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HANDLE_HAL_STATUS(status) << "execution failed with " << toString(status);
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return convertExecutionGeneralResultsHelper(outputShapes, timing);
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}
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Return<void> PreparedModelCallback::notify(V1_0::ErrorStatus status,
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const sp<V1_0::IPreparedModel>& preparedModel) {
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mData.put(prepareModelCallback(status, preparedModel));
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return Void();
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}
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Return<void> PreparedModelCallback::notify_1_2(V1_0::ErrorStatus status,
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const sp<IPreparedModel>& preparedModel) {
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mData.put(prepareModelCallback(status, preparedModel));
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return Void();
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}
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void PreparedModelCallback::notifyAsDeadObject() {
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mData.put(NN_ERROR(nn::ErrorStatus::DEAD_OBJECT) << "Dead object");
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}
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PreparedModelCallback::Data PreparedModelCallback::get() {
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return mData.take();
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}
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// ExecutionCallback methods begin here
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Return<void> ExecutionCallback::notify(V1_0::ErrorStatus status) {
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mData.put(V1_0::utils::executionCallback(status));
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return Void();
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}
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Return<void> ExecutionCallback::notify_1_2(V1_0::ErrorStatus status,
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const hidl_vec<OutputShape>& outputShapes,
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const Timing& timing) {
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mData.put(executionCallback(status, outputShapes, timing));
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return Void();
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}
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void ExecutionCallback::notifyAsDeadObject() {
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mData.put(NN_ERROR(nn::ErrorStatus::DEAD_OBJECT) << "Dead object");
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}
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ExecutionCallback::Data ExecutionCallback::get() {
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return mData.take();
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}
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} // namespace android::hardware::neuralnetworks::V1_2::utils
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