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// Copyright Yahoo. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
#pragma once
#include "i_tensor_attribute.h"
#include "prepare_result.h"
#include "tensor_store.h"
#include <vespa/searchlib/attribute/not_implemented_attribute.h>
#include <vespa/vespalib/util/rcuvector.h>
#include <vespa/document/update/tensor_update.h>
namespace vespalib::eval { struct Value; struct ValueBuilderFactory; }
namespace search::tensor {
/**
* Attribute vector class used to store tensors for all documents in memory.
*/
class TensorAttribute : public NotImplementedAttribute, public ITensorAttribute
{
protected:
using EntryRef = TensorStore::EntryRef;
using RefVector = vespalib::RcuVectorBase<EntryRef>;
RefVector _refVector; // docId -> ref in data store for serialized tensor
TensorStore &_tensorStore; // data store for serialized tensors
bool _is_dense;
std::unique_ptr<vespalib::eval::Value> _emptyTensor;
uint64_t _compactGeneration; // Generation when last compact occurred
vespalib::MemoryUsage _cached_tensor_store_memory_usage;
template <typename RefType>
void doCompactWorst();
void checkTensorType(const vespalib::eval::Value &tensor);
void setTensorRef(DocId docId, EntryRef ref);
virtual vespalib::MemoryUsage update_stat();
virtual vespalib::MemoryUsage memory_usage() const;
void populate_state(vespalib::slime::Cursor& object) const;
void populate_address_space_usage(AddressSpaceUsage& usage) const override;
public:
DECLARE_IDENTIFIABLE_ABSTRACT(TensorAttribute);
using RefCopyVector = vespalib::Array<EntryRef>;
TensorAttribute(vespalib::stringref name, const Config &cfg, TensorStore &tensorStore);
~TensorAttribute() override;
const ITensorAttribute *asTensorAttribute() const override;
uint32_t clearDoc(DocId docId) override;
void onCommit() override;
void onUpdateStat() override;
void removeOldGenerations(generation_t firstUsed) override;
void onGenerationChange(generation_t generation) override;
bool addDoc(DocId &docId) override;
std::unique_ptr<vespalib::eval::Value> getEmptyTensor() const override;
vespalib::eval::TypedCells extract_cells_ref(uint32_t docid) const override;
const vespalib::eval::Value& get_tensor_ref(uint32_t docid) const override;
bool supports_extract_cells_ref() const override { return false; }
bool supports_get_tensor_ref() const override { return false; }
const vespalib::eval::ValueType & getTensorType() const override;
void get_state(const vespalib::slime::Inserter& inserter) const override;
void clearDocs(DocId lidLow, DocId lidLimit) override;
void onShrinkLidSpace() override;
uint32_t getVersion() const override;
RefCopyVector getRefCopy() const;
virtual void setTensor(DocId docId, const vespalib::eval::Value &tensor) = 0;
virtual void update_tensor(DocId docId,
const document::TensorUpdate &update,
bool create_empty_if_non_existing);
DistanceMetric distance_metric() const override {
return getConfig().distance_metric();
}
uint32_t get_num_docs() const override { return getNumDocs(); }
/**
* Performs the prepare step in a two-phase operation to set a tensor for a document.
*
* This function can be called by any thread.
* It should return the result of the costly and non-modifying part of such operation.
*/
virtual std::unique_ptr<PrepareResult> prepare_set_tensor(DocId docid, const vespalib::eval::Value& tensor) const;
/**
* Performs the complete step in a two-phase operation to set a tensor for a document.
*
* This function is only called by the attribute writer thread.
* It uses the result from the prepare step to do the modifying changes.
*/
virtual void complete_set_tensor(DocId docid, const vespalib::eval::Value& tensor, std::unique_ptr<PrepareResult> prepare_result);
virtual void compactWorst() = 0;
};
}
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