blob: ec8da06ca65e66efc6404c178eda1339139a172a [file] [log] [blame]
/*
* 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_H
#define ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_0_UTILS_H
#include "nnapi/hal/1.0/Conversions.h"
#include <android-base/logging.h>
#include <android/hardware/neuralnetworks/1.0/types.h>
#include <nnapi/Result.h>
#include <nnapi/Types.h>
#include <nnapi/Validation.h>
namespace android::hardware::neuralnetworks::V1_0::utils {
constexpr auto kVersion = nn::Version::ANDROID_OC_MR1;
template <typename Type>
nn::Result<void> validate(const Type& halObject) {
const auto canonical = NN_TRY(nn::convert(halObject));
const auto version = NN_TRY(nn::validate(canonical));
if (version > utils::kVersion) {
return NN_ERROR() << "";
}
return {};
}
template <typename Type>
bool valid(const Type& halObject) {
const auto result = utils::validate(halObject);
if (!result.has_value()) {
LOG(ERROR) << result.error();
}
return result.has_value();
}
template <typename Type>
decltype(nn::convert(std::declval<Type>())) validatedConvertToCanonical(const Type& halObject) {
auto canonical = NN_TRY(nn::convert(halObject));
const auto version = NN_TRY(nn::validate(canonical));
if (version > utils::kVersion) {
return NN_ERROR() << "";
}
return canonical;
}
} // namespace android::hardware::neuralnetworks::V1_0::utils
#endif // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_1_0_UTILS_H