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// Copyright Yahoo. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
#include "tensor_ext_attribute.h"
#include "serialized_tensor_ref.h"
#include "vector_bundle.h"
#include <vespa/eval/eval/fast_value.h>
#include <vespa/eval/eval/tensor_spec.h>
#include <vespa/eval/eval/value.h>
#include <vespa/eval/eval/value_codec.h>
#include <vespa/searchcommon/attribute/config.h>
#include <vespa/log/log.h>
LOG_SETUP(".searchlib.tensor.tensor_ext_attribute");
using vespalib::eval::FastValueBuilderFactory;
using vespalib::eval::TensorSpec;
using vespalib::eval::TypedCells;
using vespalib::eval::Value;
using vespalib::eval::ValueType;
namespace search::tensor {
namespace {
std::unique_ptr<Value>
create_empty_tensor(const ValueType& type)
{
const auto &factory = FastValueBuilderFactory::get();
TensorSpec empty_spec(type.to_spec());
return vespalib::eval::value_from_spec(empty_spec, factory);
}
}
TensorExtAttribute::TensorExtAttribute(const vespalib::string& name, const Config& cfg)
: NotImplementedAttribute(name, cfg),
ITensorAttribute(),
IExtendAttribute(),
_distance_function_factory(make_distance_function_factory(cfg.distance_metric(), cfg.tensorType().cell_type())),
_subspace_type(cfg.tensorType()),
_empty(_subspace_type),
_empty_tensor(create_empty_tensor(cfg.tensorType()))
{
}
TensorExtAttribute::~TensorExtAttribute() = default;
const ITensorAttribute*
TensorExtAttribute::asTensorAttribute() const
{
return this;
}
void
TensorExtAttribute::onCommit()
{
LOG_ABORT("should not be reached");
}
void
TensorExtAttribute::onUpdateStat()
{
}
bool
TensorExtAttribute::addDoc(DocId& docId)
{
docId = _data.size();
_data.emplace_back(nullptr);
incNumDocs();
setCommittedDocIdLimit(getNumDocs());
return true;
}
bool
TensorExtAttribute::add(const vespalib::eval::Value& v, int32_t)
{
_data.back() = &v;
return true;
}
IExtendAttribute*
TensorExtAttribute::getExtendInterface()
{
return this;
}
TypedCells
TensorExtAttribute::get_vector(uint32_t docid, uint32_t subspace) const
{
auto vectors = get_vectors(docid);
return (subspace < vectors.subspaces()) ? vectors.cells(subspace) : _empty.cells();
}
VectorBundle
TensorExtAttribute::get_vectors(uint32_t docid) const
{
auto tensor = _data[docid];
if (tensor == nullptr) {
return VectorBundle();
}
return VectorBundle(tensor->cells().data, tensor->index().size(), _subspace_type);
}
std::unique_ptr<Value>
TensorExtAttribute::getTensor(uint32_t docid) const
{
auto tensor = _data[docid];
if (tensor == nullptr) {
return {};
}
return FastValueBuilderFactory::get().copy(*tensor);
}
std::unique_ptr<Value>
TensorExtAttribute::getEmptyTensor() const
{
return FastValueBuilderFactory::get().copy(*_empty_tensor);
}
TypedCells
TensorExtAttribute::extract_cells_ref(uint32_t docid) const
{
return get_vector(docid, 0);
}
const vespalib::eval::Value&
TensorExtAttribute::get_tensor_ref(uint32_t docid) const
{
auto tensor = _data[docid];
return (tensor == nullptr) ? *_empty_tensor : *tensor;
}
SerializedTensorRef
TensorExtAttribute::get_serialized_tensor_ref(uint32_t) const
{
notImplemented();
}
bool
TensorExtAttribute::supports_extract_cells_ref() const
{
return getConfig().tensorType().is_dense();
}
bool
TensorExtAttribute::supports_get_tensor_ref() const
{
return true;
}
bool
TensorExtAttribute::supports_get_serialized_tensor_ref() const
{
return false;
}
const ValueType&
TensorExtAttribute::getTensorType() const
{
return getConfig().tensorType();
}
TensorExtAttribute::DistanceMetric
TensorExtAttribute::distance_metric() const
{
return getConfig().distance_metric();
}
uint32_t
TensorExtAttribute::get_num_docs() const
{
return _data.size();
}
void
TensorExtAttribute::get_state(const vespalib::slime::Inserter& inserter) const
{
(void) inserter;
}
}
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