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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 <vespa/searchcommon/attribute/iattributevector.h>
#include <vespa/eval/eval/fast_value.h>
#include <vespa/eval/eval/value.h>
#include <vespa/vespalib/stllike/string.h>
using vespalib::eval::FastValueBuilderFactory;
using vespalib::eval::CellType;
namespace search::features {
/**
* Feature executor that extracts the content from an attribute vector
* and converts that into a tensor.
*/
template <typename WeightedBufferType>
class TensorFromAttributeExecutor : public fef::FeatureExecutor
{
private:
const search::attribute::IAttributeVector *_attribute;
vespalib::eval::ValueType _type;
WeightedBufferType _attrBuffer;
std::vector<vespalib::stringref> _addr_ref;
std::unique_ptr<vespalib::eval::Value> _tensor;
public:
TensorFromAttributeExecutor(const search::attribute::IAttributeVector *attribute,
const vespalib::string &dimension)
: _attribute(attribute),
_type(vespalib::eval::ValueType::make_type(CellType::DOUBLE, {{dimension}})),
_attrBuffer(),
_addr_ref(),
_tensor()
{
_attrBuffer.allocate(_attribute->getMaxValueCount());
_addr_ref.reserve(1);
}
void execute(uint32_t docId) override;
};
template <typename WeightedBufferType>
void
TensorFromAttributeExecutor<WeightedBufferType>::execute(uint32_t docId)
{
_attrBuffer.fill(*_attribute, docId);
auto factory = FastValueBuilderFactory::get();
auto builder = factory.create_value_builder<double>(_type, 1, 1, _attrBuffer.size());
for (size_t i = 0; i < _attrBuffer.size(); ++i) {
vespalib::string label(_attrBuffer[i].value());
_addr_ref.clear();
_addr_ref.push_back(label);
auto cell_array = builder->add_subspace(_addr_ref);
cell_array[0] = _attrBuffer[i].weight();
}
_tensor = builder->build(std::move(builder));
outputs().set_object(0, *_tensor);
}
}
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