mirror of
https://github.com/Evolution-X/hardware_interfaces
synced 2026-02-03 03:14:17 +00:00
900c28a250
Also:
* Add missing AIDL<->CT conversions
* Add AIDL-specific info to neuralnetworks/utils/README.md
* Add mock classes and tests AIDL adapters
Bug: 179015258
Test: neuralnetworks_utils_hal_test
Change-Id: Ifa98fadd46dca5dbf9b3ceb4da811aa8da45b6e4
Merged-In: Ifa98fadd46dca5dbf9b3ceb4da811aa8da45b6e4
(cherry picked from commit 3b93b0b56a)
91 lines
4.3 KiB
C++
91 lines
4.3 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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#ifndef ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_UTILS_COMMON_COMMON_UTILS_H
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#define ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_UTILS_COMMON_COMMON_UTILS_H
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#include <cutils/native_handle.h>
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#include <hidl/HidlSupport.h>
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#include <nnapi/Result.h>
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#include <nnapi/Types.h>
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#include <functional>
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#include <vector>
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// Shorthands
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namespace android::hardware::neuralnetworks {
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namespace hal = ::android::hardware::neuralnetworks;
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} // namespace android::hardware::neuralnetworks
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// Shorthands
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namespace aidl::android::hardware::neuralnetworks {
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namespace aidl_hal = ::aidl::android::hardware::neuralnetworks;
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namespace hal = ::android::hardware::neuralnetworks;
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namespace nn = ::android::nn;
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} // namespace aidl::android::hardware::neuralnetworks
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// Shorthands
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namespace android::nn {
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namespace hal = ::android::hardware::neuralnetworks;
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namespace aidl_hal = ::aidl::android::hardware::neuralnetworks;
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} // namespace android::nn
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namespace android::hardware::neuralnetworks::utils {
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nn::Capabilities::OperandPerformanceTable makeQuantized8PerformanceConsistentWithP(
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const nn::Capabilities::PerformanceInfo& float32Performance,
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const nn::Capabilities::PerformanceInfo& quantized8Performance);
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// Indicates if the object contains no pointer-based data that could be relocated to shared memory.
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bool hasNoPointerData(const nn::Model& model);
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bool hasNoPointerData(const nn::Request& request);
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// Relocate pointer-based data to shared memory. If `model` has no Operand::LifeTime::POINTER data,
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// the function returns with a reference to `model`. If `model` has Operand::LifeTime::POINTER data,
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// the model is copied to `maybeModelInSharedOut` with the POINTER data relocated to a memory pool,
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// and the function returns with a reference to `*maybeModelInSharedOut`.
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nn::GeneralResult<std::reference_wrapper<const nn::Model>> flushDataFromPointerToShared(
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const nn::Model* model, std::optional<nn::Model>* maybeModelInSharedOut);
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// Relocate pointer-based data to shared memory. If `request` has no
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// Request::Argument::LifeTime::POINTER data, the function returns with a reference to `request`. If
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// `request` has Request::Argument::LifeTime::POINTER data, the request is copied to
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// `maybeRequestInSharedOut` with the POINTER data relocated to a memory pool, and the function
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// returns with a reference to `*maybeRequestInSharedOut`.
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nn::GeneralResult<std::reference_wrapper<const nn::Request>> flushDataFromPointerToShared(
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const nn::Request* request, std::optional<nn::Request>* maybeRequestInSharedOut);
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// Undoes `flushDataFromPointerToShared` on a Request object. More specifically,
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// `unflushDataFromSharedToPointer` copies the output shared memory data from the transformed
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// Request object back to the output pointer-based memory in the original Request object.
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nn::GeneralResult<void> unflushDataFromSharedToPointer(
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const nn::Request& request, const std::optional<nn::Request>& maybeRequestInShared);
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nn::GeneralResult<std::vector<uint32_t>> countNumberOfConsumers(
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size_t numberOfOperands, const std::vector<nn::Operation>& operations);
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nn::GeneralResult<hidl_memory> createHidlMemoryFromSharedMemory(const nn::SharedMemory& memory);
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nn::GeneralResult<nn::SharedMemory> createSharedMemoryFromHidlMemory(const hidl_memory& memory);
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nn::GeneralResult<hidl_handle> hidlHandleFromSharedHandle(const nn::Handle& handle);
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nn::GeneralResult<nn::Handle> sharedHandleFromNativeHandle(const native_handle_t* handle);
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nn::GeneralResult<hidl_vec<hidl_handle>> convertSyncFences(
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const std::vector<nn::SyncFence>& fences);
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} // namespace android::hardware::neuralnetworks::utils
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#endif // ANDROID_HARDWARE_INTERFACES_NEURALNETWORKS_UTILS_COMMON_COMMON_UTILS_H
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