chore: import upstream snapshot with attribution
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//
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// Backend.cpp
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// MNN
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//
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// Created by MNN on 2018/07/06.
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// Copyright © 2018, Alibaba Group Holding Limited
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//
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#include "core/Backend.hpp"
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#include <stdio.h>
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#include <mutex>
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#include "MNN_generated.h"
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#include "backend/cpu/CPUTensorConvert.hpp"
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#include "core/Macro.h"
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#include "core/TensorUtils.hpp"
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#include "geometry/GeometryComputer.hpp"
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#include "shape/SizeComputer.hpp"
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#ifdef MNN_INTERNAL_ENABLED
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#include "internal/logging/Log.hpp"
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#endif
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namespace MNN {
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static std::map<MNNForwardType, std::pair<const RuntimeCreator*, bool>>& GetExtraCreator() {
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static std::once_flag gInitFlag;
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static std::map<MNNForwardType, std::pair<const RuntimeCreator*, bool>>* gExtraCreator;
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std::call_once(gInitFlag,
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[&]() { gExtraCreator = new std::map<MNNForwardType, std::pair<const RuntimeCreator*, bool>>; });
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return *gExtraCreator;
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}
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extern void registerCPURuntimeCreator();
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#if MNN_METAL_ENABLED
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extern void registerMetalRuntimeCreator();
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#endif
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#if MNN_OPENCL_ENABLED
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namespace OpenCL {
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extern void registerOpenCLRuntimeCreator();
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}
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#endif
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#if MNN_COREML_ENABLED
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extern void registerCoreMLRuntimeCreator();
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#endif
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#if MNN_NNAPI_ENABLED
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extern void registerNNAPIRuntimeCreator();
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#endif
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#if MNN_QNN_ENABLED
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extern void registerQNNRuntimeCreator();
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#endif
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#ifdef MNN_NEUROPILOT
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extern void registerNeuroPilot();
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#endif
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static std::once_flag s_flag;
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void registerBackend() {
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std::call_once(s_flag, [&]() {
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#ifdef MNN_INTERNAL_ENABLED
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LogInit();
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#endif
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registerCPURuntimeCreator();
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#ifndef MNN_SKIPBUILD_GEOMETRY
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SizeComputerSuite::init();
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GeometryComputer::init();
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#endif
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#if MNN_COREML_ENABLED
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registerCoreMLRuntimeCreator();
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#endif
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#ifdef MNN_NNAPI_ENABLED
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registerNNAPIRuntimeCreator();
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#endif
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#if MNN_QNN_ENABLED
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registerQNNRuntimeCreator();
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#endif
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#if MNN_OPENCL_ENABLED
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OpenCL::registerOpenCLRuntimeCreator();
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#endif
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#if MNN_METAL_ENABLED
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registerMetalRuntimeCreator();
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#endif
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#ifdef MNN_NEUROPILOT
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registerNeuroPilot();
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#endif
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});
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}
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const RuntimeCreator* MNNGetExtraRuntimeCreator(MNNForwardType type) {
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registerBackend();
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auto& gExtraCreator = GetExtraCreator();
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auto iter = gExtraCreator.find(type);
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if (iter == gExtraCreator.end()) {
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return nullptr;
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}
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if (!iter->second.second) {
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return iter->second.first;
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}
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Backend::Info info;
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info.type = type;
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std::shared_ptr<Runtime> bn(iter->second.first->onCreate(info));
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if (nullptr != bn.get()) {
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return iter->second.first;
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}
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return nullptr;
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}
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bool MNNInsertExtraRuntimeCreator(MNNForwardType type, const RuntimeCreator* creator, bool needCheck) {
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auto& gExtraCreator = GetExtraCreator();
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if (gExtraCreator.find(type) != gExtraCreator.end()) {
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MNN_ASSERT(false && "duplicate type");
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return false;
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}
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gExtraCreator.insert(std::make_pair(type, std::make_pair(creator, needCheck)));
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return true;
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}
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bool MNNCPUCopyBuffer(const Tensor* srcTensor, const Tensor* dstTensor) {
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auto& srcBuffer = srcTensor->buffer();
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auto& dstBuffer = dstTensor->buffer();
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MNN_ASSERT(srcBuffer.dimensions == dstBuffer.dimensions);
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MNN_ASSERT(srcBuffer.type == dstBuffer.type);
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if (nullptr == srcBuffer.host || nullptr == dstBuffer.host) {
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return false;
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}
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auto code = CPUTensorConverter::convert(srcTensor, dstTensor);
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if (NO_ERROR != code) {
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MNN_ERROR("Error in CPUBackend::onCopyBuffer\n");
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}
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return true;
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}
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bool Backend::onAcquireBuffer(const Tensor* tensor, StorageType storageType) {
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auto mem = this->onAcquire(tensor, storageType);
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if (nullptr == mem) {
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return false;
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}
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if (mem == TensorUtils::getDescribeOrigin(tensor)->mem.get()) {
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return true;
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}
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TensorUtils::getDescribeOrigin(tensor)->mem = mem;
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if (nullptr == TensorUtils::getDescribeOrigin(tensor)->getBackend()) {
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TensorUtils::getDescribeOrigin(tensor)->setBackend(this);
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}
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return true;
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}
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bool Backend::onReleaseBuffer(const Tensor* tensor, StorageType storageType) {
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TensorUtils::getDescribeOrigin(tensor)->mem = nullptr;
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return true;
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}
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bool Runtime::hasAsyncWork() const {
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return mFuture.valid();
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}
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void Runtime::setAsyncWork(std::future<int>&& future) {
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mFuture = std::move(future);
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}
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void Runtime::waitAsyncWork() {
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if (mFuture.valid()) {
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mFuture.wait();
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}
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}
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} // namespace MNN
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