/* * 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_UTILS_COMMON_COMMON_UTILS_H #define ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_UTILS_COMMON_COMMON_UTILS_H #include #include #include #include #include // Shorthands namespace android::hardware::neuralnetworks { namespace hal = ::android::hardware::neuralnetworks; } // namespace android::hardware::neuralnetworks // Shorthands namespace aidl::android::hardware::neuralnetworks { namespace aidl_hal = ::aidl::android::hardware::neuralnetworks; namespace hal = ::android::hardware::neuralnetworks; namespace nn = ::android::nn; } // namespace aidl::android::hardware::neuralnetworks // Shorthands namespace android::nn { namespace hal = ::android::hardware::neuralnetworks; namespace aidl_hal = ::aidl::android::hardware::neuralnetworks; } // namespace android::nn namespace android::hardware::neuralnetworks::utils { nn::Capabilities::OperandPerformanceTable makeQuantized8PerformanceConsistentWithP( const nn::Capabilities::PerformanceInfo& float32Performance, const nn::Capabilities::PerformanceInfo& quantized8Performance); using nn::convertRequestFromPointerToShared; using nn::flushDataFromPointerToShared; using nn::hasNoPointerData; using nn::RequestRelocation; } // namespace android::hardware::neuralnetworks::utils #endif // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_UTILS_COMMON_COMMON_UTILS_H