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// Copyright 2016 Yahoo Inc. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
#include "dense_dot_product_function.h"
#include "dense_tensor.h"
#include "dense_tensor_view.h"
#include <vespa/eval/eval/value.h>
#include <vespa/eval/tensor/tensor.h>
namespace vespalib {
namespace tensor {
using CellsRef = DenseTensorView::CellsRef;
DenseDotProductFunction::DenseDotProductFunction(size_t lhsTensorId_, size_t rhsTensorId_)
: _lhsTensorId(lhsTensorId_),
_rhsTensorId(rhsTensorId_),
_hwAccelerator(hwaccelrated::IAccelrated::getAccelrator())
{
}
namespace {
CellsRef
getCellsRef(const eval::Value &value)
{
const Tensor *tensor = static_cast<const Tensor *>(value.as_tensor());
const DenseTensorView *denseTensor = static_cast<const DenseTensorView *>(tensor);
return denseTensor->cellsRef();
}
}
const eval::Value &
DenseDotProductFunction::eval(const Input &input, Stash &stash) const
{
DenseTensorView::CellsRef lhsCells = getCellsRef(input.get_tensor(_lhsTensorId));
DenseTensorView::CellsRef rhsCells = getCellsRef(input.get_tensor(_rhsTensorId));
size_t numCells = std::min(lhsCells.size(), rhsCells.size());
double result = _hwAccelerator->dotProduct(lhsCells.cbegin(), rhsCells.cbegin(), numCells);
return stash.create<eval::DoubleValue>(result);
}
} // namespace tensor
} // namespace vespalib
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