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// Copyright 2017 Yahoo Holdings. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
#pragma once
#include <vespa/eval/tensor/tensor.h>
#include <vespa/eval/tensor/types.h>
#include <vespa/eval/eval/value_type.h>
#include "dense_tensor_cells_iterator.h"
namespace vespalib::tensor {
class DenseTensor;
/**
* A view to a dense tensor where all dimensions are indexed.
* Tensor cells are stored in an underlying array according to the order of the dimensions.
*/
class DenseTensorView : public Tensor
{
public:
using Cells = std::vector<double>;
using CellsRef = ConstArrayRef<double>;
using CellsIterator = DenseTensorCellsIterator;
using Address = std::vector<eval::ValueType::Dimension::size_type>;
private:
const eval::ValueType &_typeRef;
Tensor::UP reduce_all(join_fun_t op, const std::vector<vespalib::string> &dimensions) const;
protected:
CellsRef _cellsRef;
void initCellsRef(CellsRef cells_in) {
_cellsRef = cells_in;
}
public:
explicit DenseTensorView(const DenseTensor &rhs);
DenseTensorView(const eval::ValueType &type_in, CellsRef cells_in)
: _typeRef(type_in),
_cellsRef(cells_in)
{}
DenseTensorView(const eval::ValueType &type_in)
: _typeRef(type_in),
_cellsRef()
{}
const eval::ValueType &fast_type() const { return _typeRef; }
const CellsRef &cellsRef() const { return _cellsRef; }
bool operator==(const DenseTensorView &rhs) const;
CellsIterator cellsIterator() const { return CellsIterator(_typeRef, _cellsRef); }
const eval::ValueType &type() const override;
double as_double() const override;
Tensor::UP apply(const CellFunction &func) const override;
Tensor::UP join(join_fun_t function, const Tensor &arg) const override;
Tensor::UP reduce(join_fun_t op, const std::vector<vespalib::string> &dimensions) const override;
std::unique_ptr<Tensor> modify(join_fun_t op, const CellValues &cellValues) const override;
std::unique_ptr<Tensor> add(const Tensor &arg) const override;
std::unique_ptr<Tensor> remove(const CellValues &) const override;
bool equals(const Tensor &arg) const override;
Tensor::UP clone() const override;
eval::TensorSpec toSpec() const override;
void accept(TensorVisitor &visitor) const override;
};
}
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