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// Copyright Yahoo. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
#include "direct_tensor_attribute.h"
#include "direct_tensor_saver.h"
#include <vespa/eval/eval/fast_value.h>
#include <vespa/eval/eval/value.h>
#include <vespa/searchlib/attribute/readerbase.h>
#include <vespa/searchlib/util/fileutil.h>
#include <vespa/vespalib/util/array.h>
#include "blob_sequence_reader.h"
#include "tensor_deserialize.h"
using vespalib::eval::FastValueBuilderFactory;
namespace search::tensor {
DirectTensorAttribute::DirectTensorAttribute(stringref name, const Config &cfg)
: TensorAttribute(name, cfg, _direct_store)
{
}
DirectTensorAttribute::~DirectTensorAttribute()
{
getGenerationHolder().clearHoldLists();
_tensorStore.clearHoldLists();
}
bool
DirectTensorAttribute::onLoad(vespalib::Executor *)
{
BlobSequenceReader tensorReader(*this);
if (!tensorReader.hasData()) {
return false;
}
setCreateSerialNum(tensorReader.getCreateSerialNum());
assert(tensorReader.getVersion() == getVersion());
uint32_t numDocs = tensorReader.getDocIdLimit();
_refVector.reset();
_refVector.unsafe_reserve(numDocs);
vespalib::Array<char> buffer(1024);
for (uint32_t lid = 0; lid < numDocs; ++lid) {
uint32_t tensorSize = tensorReader.getNextSize();
if (tensorSize != 0) {
if (tensorSize > buffer.size()) {
buffer.resize(tensorSize + 1024);
}
tensorReader.readBlob(&buffer[0], tensorSize);
auto tensor = deserialize_tensor(&buffer[0], tensorSize);
EntryRef ref = _direct_store.store_tensor(std::move(tensor));
_refVector.push_back(AtomicEntryRef(ref));
} else {
EntryRef invalid;
_refVector.push_back(AtomicEntryRef(invalid));
}
}
setNumDocs(numDocs);
setCommittedDocIdLimit(numDocs);
return true;
}
void
DirectTensorAttribute::set_tensor(DocId lid, std::unique_ptr<vespalib::eval::Value> tensor)
{
checkTensorType(*tensor);
EntryRef ref = _direct_store.store_tensor(std::move(tensor));
setTensorRef(lid, ref);
}
void
DirectTensorAttribute::setTensor(DocId lid, const vespalib::eval::Value &tensor)
{
set_tensor(lid, FastValueBuilderFactory::get().copy(tensor));
}
void
DirectTensorAttribute::update_tensor(DocId docId,
const document::TensorUpdate &update,
bool create_if_non_existing)
{
EntryRef ref;
if (docId < getCommittedDocIdLimit()) {
ref = _refVector[docId].load_relaxed();
}
if (ref.valid()) {
auto ptr = _direct_store.get_tensor_ptr(ref);
if (ptr) {
auto new_value = update.apply_to(*ptr, FastValueBuilderFactory::get());
if (new_value) {
set_tensor(docId, std::move(new_value));
}
return;
}
}
if (create_if_non_existing) {
auto new_value = update.apply_to(*_emptyTensor, FastValueBuilderFactory::get());
if (new_value) {
set_tensor(docId, std::move(new_value));
}
}
}
std::unique_ptr<vespalib::eval::Value>
DirectTensorAttribute::getTensor(DocId docId) const
{
EntryRef ref;
if (docId < getCommittedDocIdLimit()) {
ref = acquire_entry_ref(docId);
}
if (ref.valid()) {
auto ptr = _direct_store.get_tensor_ptr(ref);
if (ptr) {
return FastValueBuilderFactory::get().copy(*ptr);
}
}
std::unique_ptr<vespalib::eval::Value> empty;
return empty;
}
const vespalib::eval::Value &
DirectTensorAttribute::get_tensor_ref(DocId docId) const
{
if (docId >= getCommittedDocIdLimit()) { return *_emptyTensor; }
auto ptr = _direct_store.get_tensor_ptr(acquire_entry_ref(docId));
if ( ptr == nullptr) { return *_emptyTensor; }
return *ptr;
}
std::unique_ptr<AttributeSaver>
DirectTensorAttribute::onInitSave(vespalib::stringref fileName)
{
vespalib::GenerationHandler::Guard guard(getGenerationHandler().takeGuard());
return std::make_unique<DirectTensorAttributeSaver>
(std::move(guard),
this->createAttributeHeader(fileName),
getRefCopy(),
_direct_store);
}
} // namespace
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