Feature Vector Search

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// 1. Perform initialization.
// 1.1 Initialize the feature search module. The following uses the repository with 100000 features as an example.
size_t fsNum = 100000;
fvInitPara = aclfvCreateInitPara(fsNum);

// 1.2 Specify the initialization parameter for feature vector search.
ret = aclfvInit(fvInitPara);

// 2. Add the repository and feature vectors.
// 2.1 Add the first feature. When creating the feature description, set the offset parameter to 0.
uint32_t offset = 0;
uint32_t featureCount = 1000;
uint32_t featureLen = 36;

// The user-defined function BaseShortFeaAlloc is used to generate random feature data.
void *featureData = BaseShortFeaAlloc(1000, static_cast<size_t>(featureCount), 0);
std::shared_ptr<void> feaBufPtr(featureData, [](void *p){(void)aclrtFreeHost(p);});
void *inputData = featureData;
std::shared_ptr<void> inputDataPtr = nullptr;

// If the run mode is ACL_HOST, allocate memory and call aclrtMemcpy to transfer the random feature data from the host to the device. In other modes, directly load the random feature data into the device memory.
if (aclrtGetRunMode(&runMode) == ACL_HOST) {
      // Allocate memory for inputData.
      ret = aclrtMalloc(&inputData, featureLen * featureCount, 
                        ACL_MEM_MALLOC_HUGE_FIRST);
      // Load the random feature data into the device memory.
      inputDataPtr.reset(inputData, [](void *p) {(void)aclrtFree(p);});
      // Copy featureData from the host to the device.
      ret = aclrtMemcpy(inputData,
                        featureLen * featureCount,
                        featureData,
                        featureLen * featureCount,
                        ACL_MEMCPY_HOST_TO_DEVICE);
}

// Create feature description information. inputData indicates the random feature data generated in the previous step.
auto featureInfo = aclfvCreateFeatureInfo(id0, id1, offset, featureLen, featureCount, 
                        reinterpret_cast<uint8_t *>(inputData), featureLen * featureCount);

// Add a repository and add features to the repository. featureInfo indicates the feature description generated in the previous step.
aclError ret = aclfvRepoAdd(SEARCH_1_N, featureInfo);

// Destroy the aclfvFeatureInfo data. 
aclfvDestroyFeatureInfo(featureInfo);

// 2.2 Add the second feature and precisely delete or modify a feature in the repository. When creating the feature description information, ensure that the offset value is the same as the number of features added to the repository.
offset += featureCount;

// For details about how to add a feature to the repository, see step 4.1.
// ....

uint8_t featureData[36];
for (size_t i = 0; i < 36; i++) {
        featureData[i] = static_cast<uint8_t>(i);
}

// Create memory and transfer the feature data.
void *inputData = nullptr;
aclrtMalloc(&inputData, 36, ACL_MEM_MALLOC_HUGE_FIRST);
std::shared_ptr<void> inputDataPtr(inputData, [](void *p){(void)aclrtFree(p);});
aclrtMemcpyKind kind = ACL_MEMCPY_DEVICE_TO_DEVICE;

// If the run mode is ACL_HOST, copy the feature data to the device. Otherwise, skip this step. dataLen indicates the length of the memory allocated to the featureData pointer.
if (aclrtGetRunMode(&runMode) == ACL_HOST) {
        kind = ACL_MEMCPY_HOST_TO_DEVICE;
}
aclrtMemcpy(inputData, 36, featureData, dataLen, kind);

// Create feature description information.
uint32_t id0 = 0;
uint32_t id1 = 0;
auto featureInfo1 = aclfvCreateFeatureInfo(id0, id1, offset, 36, 1,
                                          reinterpret_cast<uint8_t *>(inputData), 36);
std::shared_ptr<aclfvFeatureInfo> featureInfoPtr(featureInfo1,
                                          [](aclfvFeatureInfo *p){(void)aclfvDestroyFeatureInfo(p);});

// Delete a feature.
aclfvDel(featureInfo1);

// 2.3 Add features to other repositories. The values for the level-1 and level-2 repositories are both 1.
id0 = 1;
id1 = 1;
offset = 0; 

// For details about how to add a feature to the repository, see step 4.1.
// ....

// 3 Repository search (in 1:N mode for example), including feature search preprocessing, 1:N feature search, and feature search result processing.
// 3.1 Feature search preprocessing. In 1:N mode, the value of queryCnt must be 1.
uint32_t queryCnt = 1;
uint32_t topK = 5;
uint32_t dataLen = queryCnt * topK * sizeof(uint32_t);
uint32_t resultNumDataLen = queryCnt * sizeof(uint32_t);
const uint32_t tableLen = 32 * 1024; 
uint32_t tableDataLen = queryCnt * tableLen;

// Generate a data table for search and comparison. The user-defined function AdcTabInit is used to initialize the input ADC table for feature search.
uint8_t *tableDataTmp = (uint8_t *)AdcTabInit(1000, queryCnt * 1024);
std::shared_ptr<void> tableDataTmpPtr(tableDataTmp,[](void *p){(void)aclrtFreeHost(p);});

// Allocate memory to the data table. tableDataDev is used to create a search input table.
void *devPtr = nullptr;
aclrtMalloc(&devPtr, tableDataLen, ACL_MEM_MALLOC_HUGE_FIRST);
tableDataDev.reset(devPtr, [](void *p) {(void)aclrtFree(p);});

// Copy the table data to the device.
uint8_t *devPtrTmp = reinterpret_cast<uint8_t *>(devPtr);
for (uint32_t i = 0; i < queryCnt; ++i) {
     for (uint32_t j = 0; j < 32; ++j) {
          uint8_t *dst = devPtrTmp + i * 32 * 1024 + j * 1024;
          uint8_t *src = tableDataTmp + i * 1024;
          aclrtMemcpy(dst, 1024, src, 1024, ACL_MEMCPY_HOST_TO_DEVICE);
     }
}

// Allocate memory for the search result resultNumDev, id0Dev, id1Dev, resultOffsetDev, and resultDistanceDev.
aclrtMalloc(&devPtr, resultNumDataLen, ACL_MEM_MALLOC_HUGE_FIRST);
resultNumDev.reset(devPtr, [](void *p) {(void)aclrtFree(p);});
aclrtMalloc(&devPtr, dataLen, ACL_MEM_MALLOC_HUGE_FIRST);
id0Dev.reset(devPtr, [](void *p) {(void)aclrtFree(p);});
aclrtMalloc(&devPtr, dataLen, ACL_MEM_MALLOC_HUGE_FIRST);
id1Dev.reset(devPtr, [](void *p) {(void)aclrtFree(p);});
aclrtMalloc(&devPtr, dataLen, ACL_MEM_MALLOC_HUGE_FIRST);              
resultOffsetDev.reset(devPtr, [](void *p) {(void)aclrtFree(p);});
aclrtMalloc(&devPtr, dataLen, ACL_MEM_MALLOC_HUGE_FIRST);
resultDistanceDev.reset(devPtr, [](void *p) {(void)aclrtFree(p);}); 
 
// Create a search input table. The result is used as the input information for creating a search task.
aclfvQueryTable *searchQueryTable = aclfvCreateQueryTable(queryCnt, tableLen, reinterpret_cast<uint8_t *>
                                   (tableDataDev.get()), tableDataLen);
searchQueryTable.reset(searchQueryTable, [](aclfvQueryTable *p){(void)aclfvDestroyQueryTable(p);});

// Create a feature repository range parameter. The result is used as the input information for creating a search task.
aclfvRepoRange *searchRange = aclfvCreateRepoRange(0, 1023, 0, 1023); 
searchRange.reset(searchRange, [](aclfvRepoRange *p){(void)aclfvDestroyRepoRange(p);});

// Create the input information of a search task. The result is used for feature search in 1:N mode.
aclfvSearchInput *searchInput = aclfvCreateSearchInput(searchQueryTable, searchRange, topK);
searchInput.reset(searchInput, [](aclfvSearchInput *p){(void)aclfvDestroySearchInput(p);});

// Create the search result information. The result is used for feature search in 1:N mode.
aclfvSearchResult *searchResult = aclfvCreateSearchResult(queryCnt,
                                   reinterpret_cast<uint32_t *>(resultNumDev.get()),
                                   resultNumDataLen,
                                   reinterpret_cast<uint32_t *>(id0Dev.get()),
                                   reinterpret_cast<uint32_t *>(id1Dev.get()),
                                   reinterpret_cast<uint32_t *>(resultOffsetDev.get()),
                                   reinterpret_cast<float *>(resultDistanceDev.get()),
                                   dataLen);
searchResult.reset(searchResult, [](aclfvSearchResult *p){(void)aclfvDestroySearchResult(p);});

// 3.2 Feature search in 1:N mode
aclfvSearch(SEARCH_1_N, searchInput.get(), searchResult.get());

// 3.3 Processing the feature search result
// Obtain the search result.
uint32_t dataLen = queryCnt * topK * sizeof(uint32_t);
uint32_t *id0 = (uint32_t *)id0Dev.get();
uint32_t *id1 = (uint32_t *)id1Dev.get();
uint32_t *resultOffset= (uint32_t *)resultOffsetDev.get();
float *resultDistance = (float *)resultDistanceDev.get();

// If the run mode is ACL_HOST, the search result on the device needs to be sent back to the host through the aclrtMemcpy call.
if (aclrtGetRunMode(&runMode) == ACL_HOST) {
        // Copy data from the device to the host.
        id0 = (uint32_t *)malloc(dataLen);
        id0Ptr.reset(id0);
        id1 = (uint32_t *)malloc(dataLen);
        id1Ptr.reset(id1);
        resultOffset = (uint32_t *)malloc(dataLen);
        resultOffsetPtr.reset(resultOffset);
        resultDistance = (float *)malloc(dataLen);
        resultDistancePtr.reset(resultDistance);
        aclrtMemcpy(id0, dataLen, id0Dev.get(), dataLen, ACL_MEMCPY_DEVICE_TO_HOST);
        aclrtMemcpy(id1, dataLen, id0Dev.get(), dataLen, ACL_MEMCPY_DEVICE_TO_HOST);
        aclrtMemcpy(resultOffset, dataLen, resultOffsetDev.get(), dataLen, ACL_MEMCPY_DEVICE_TO_HOST);
        aclrtMemcpy(resultDistance, dataLen, resultDistanceDev.get(), dataLen, ACL_MEMCPY_DEVICE_TO_HOST);
}

//Display the data in the repository.
for (uint32_t i = 0; i < queryCnt; i++) {
     for (uint32_t j = 0; j < topK; ++j) {
          uint32_t i0 = id0[i * topK + j];
          uint32_t i1 = id1[i * topK + j];
          uint32_t offset = resultOffset[i * topK + j];
          float distance = resultDistance[i * topK + j];
    }
}

// 4. Delete the repository and data.
// Create a feature repository range and delete the repository in the specified range.
uint32_t id0Min = 0;
uint32_t id0Max = 1023;
uint32_t id1Min = 0;
uint32_t id1Max = 1023;
aclfvRepoRange *repoRange = aclfvCreateRepoRange(id0Min, id0Max, id1Min, id1Max);
aclfvRepoDel(SEARCH_1_N, repoRange);
// Destroy data of the aclfvInitPara type.
aclfvDestroyInitPara(fvInitPara);

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