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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/eval/eval/tensor_function.h>
namespace vespalib::eval {
/**
* Tensor function for product of one 1-dimensional and one 2-dimensional dense tensor.
*/
class DenseXWProductFunction : public tensor_function::Op2
{
using Super = tensor_function::Op2;
public:
struct Self {
ValueType result_type;
size_t vector_size;
size_t result_size;
Self(const ValueType &result_type_in,
size_t vector_size_in, size_t result_size_in);
~Self();
};
private:
size_t _vector_size;
size_t _result_size;
bool _common_inner;
public:
DenseXWProductFunction(const ValueType &result_type,
const TensorFunction &vector_in,
const TensorFunction &matrix_in,
size_t vector_size,
size_t result_size,
bool common_inner);
~DenseXWProductFunction() {}
bool result_is_mutable() const override { return true; }
size_t vector_size() const { return _vector_size; }
size_t result_size() const { return _result_size; }
bool common_inner() const { return _common_inner; }
InterpretedFunction::Instruction compile_self(const ValueBuilderFactory &factory, Stash &stash) const override;
void visit_self(vespalib::ObjectVisitor &visitor) const override;
static const TensorFunction &optimize(const TensorFunction &expr, Stash &stash);
};
} // namespace
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