Files
hardware_interfaces/neuralnetworks/utils/common/include/nnapi/hal/CommonUtils.h
Slava Shklyaev d4290b8bf8 Replace nn::NativeHandle with nn::SharedHandle
Bug: 160669116
Test: mma
Change-Id: I73b2b93aab6cbf37d3c145e15ee9ae45228954f1
2020-11-16 14:42:28 +00:00

72 lines
3.1 KiB
C++

/*
* 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 <cutils/native_handle.h>
#include <hidl/HidlSupport.h>
#include <nnapi/Result.h>
#include <nnapi/Types.h>
#include <functional>
#include <vector>
// Shorthand
namespace android::hardware::neuralnetworks {
namespace hal = ::android::hardware::neuralnetworks;
} // namespace android::hardware::neuralnetworks
// Shorthand
namespace android::nn {
namespace hal = ::android::hardware::neuralnetworks;
}
namespace android::hardware::neuralnetworks::utils {
nn::Capabilities::OperandPerformanceTable makeQuantized8PerformanceConsistentWithP(
const nn::Capabilities::PerformanceInfo& float32Performance,
const nn::Capabilities::PerformanceInfo& quantized8Performance);
// Indicates if the object contains no pointer-based data that could be relocated to shared memory.
bool hasNoPointerData(const nn::Model& model);
bool hasNoPointerData(const nn::Request& request);
// Relocate pointer-based data to shared memory.
nn::GeneralResult<std::reference_wrapper<const nn::Model>> flushDataFromPointerToShared(
const nn::Model* model, std::optional<nn::Model>* maybeModelInSharedOut);
nn::GeneralResult<std::reference_wrapper<const nn::Request>> flushDataFromPointerToShared(
const nn::Request* request, std::optional<nn::Request>* maybeRequestInSharedOut);
// Undoes `flushDataFromPointerToShared` on a Request object. More specifically,
// `unflushDataFromSharedToPointer` copies the output shared memory data from the transformed
// Request object back to the output pointer-based memory in the original Request object.
nn::GeneralResult<void> unflushDataFromSharedToPointer(
const nn::Request& request, const std::optional<nn::Request>& maybeRequestInShared);
std::vector<uint32_t> countNumberOfConsumers(size_t numberOfOperands,
const std::vector<nn::Operation>& operations);
nn::GeneralResult<nn::Memory> createSharedMemoryFromHidlMemory(const hidl_memory& memory);
nn::GeneralResult<hidl_handle> hidlHandleFromSharedHandle(const nn::SharedHandle& handle);
nn::GeneralResult<nn::SharedHandle> sharedHandleFromNativeHandle(const native_handle_t* handle);
nn::GeneralResult<hidl_vec<hidl_handle>> convertSyncFences(
const std::vector<nn::SyncFence>& fences);
} // namespace android::hardware::neuralnetworks::utils
#endif // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_UTILS_COMMON_COMMON_UTILS_H