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// Copyright 2017 Yahoo Holdings. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
#include "dense_tensor_view.h"
#include "dense_tensor_apply.hpp"
#include "dense_tensor_reduce.hpp"
#include <vespa/vespalib/util/stringfmt.h>
#include <vespa/vespalib/util/exceptions.h>
#include <vespa/vespalib/stllike/asciistream.h>
#include <vespa/eval/tensor/tensor_address_builder.h>
#include <vespa/eval/tensor/tensor_visitor.h>
#include <vespa/eval/eval/operation.h>
#include <sstream>
using vespalib::eval::TensorSpec;
namespace vespalib {
namespace tensor {
namespace {
string
dimensionsAsString(const eval::ValueType &type)
{
std::ostringstream oss;
bool first = true;
oss << "[";
for (const auto &dim : type.dimensions()) {
if (!first) {
oss << ",";
}
first = false;
oss << dim.name << ":" << dim.size;
}
oss << "]";
return oss.str();
}
size_t
calcCellsSize(const eval::ValueType &type)
{
size_t cellsSize = 1;
for (const auto &dim : type.dimensions()) {
cellsSize *= dim.size;
}
return cellsSize;
}
void
checkCellsSize(const DenseTensorView &arg)
{
auto cellsSize = calcCellsSize(arg.fast_type());
if (arg.cellsRef().size() != cellsSize) {
throw IllegalStateException(make_string("wrong cell size, "
"expected=%zu, "
"actual=%zu",
cellsSize,
arg.cellsRef().size()));
}
}
void
checkDimensions(const DenseTensorView &lhs, const DenseTensorView &rhs,
vespalib::stringref operation)
{
if (lhs.fast_type() != rhs.fast_type()) {
throw IllegalStateException(make_string("mismatching dimensions for "
"dense tensor %s, "
"lhs dimensions = '%s', "
"rhs dimensions = '%s'",
operation.c_str(),
dimensionsAsString(lhs.fast_type()).c_str(),
dimensionsAsString(rhs.fast_type()).c_str()));
}
checkCellsSize(lhs);
checkCellsSize(rhs);
}
/*
* Join the cells of two tensors.
*
* The given function is used to calculate the resulting cell value
* for overlapping cells.
*/
template <typename Function>
Tensor::UP
joinDenseTensors(const DenseTensorView &lhs, const DenseTensorView &rhs,
Function &&func)
{
DenseTensor::Cells cells;
cells.reserve(lhs.cellsRef().size());
auto rhsCellItr = rhs.cellsRef().cbegin();
for (const auto &lhsCell : lhs.cellsRef()) {
cells.push_back(func(lhsCell, *rhsCellItr));
++rhsCellItr;
}
assert(rhsCellItr == rhs.cellsRef().cend());
return std::make_unique<DenseTensor>(lhs.fast_type(),
std::move(cells));
}
template <typename Function>
Tensor::UP
joinDenseTensors(const DenseTensorView &lhs, const Tensor &rhs,
vespalib::stringref operation,
Function &&func)
{
const DenseTensorView *view = dynamic_cast<const DenseTensorView *>(&rhs);
if (view) {
checkDimensions(lhs, *view, operation);
return joinDenseTensors(lhs, *view, func);
}
return Tensor::UP();
}
bool sameCells(DenseTensorView::CellsRef lhs, DenseTensorView::CellsRef rhs)
{
if (lhs.size() != rhs.size()) {
return false;
}
for (size_t i = 0; i < lhs.size(); ++i) {
if (lhs[i] != rhs[i]) {
return false;
}
}
return true;
}
}
DenseTensorView::DenseTensorView(const DenseTensor &rhs)
: _typeRef(rhs.fast_type()),
_cellsRef(rhs.cellsRef())
{
}
bool
DenseTensorView::operator==(const DenseTensorView &rhs) const
{
return (_typeRef == rhs._typeRef) && sameCells(_cellsRef, rhs._cellsRef);
}
const eval::ValueType &
DenseTensorView::type() const
{
return _typeRef;
}
double
DenseTensorView::as_double() const
{
double result = 0.0;
for (const auto &cell : _cellsRef) {
result += cell;
}
return result;
}
Tensor::UP
DenseTensorView::apply(const CellFunction &func) const
{
Cells newCells(_cellsRef.size());
auto itr = newCells.begin();
for (const auto &cell : _cellsRef) {
*itr = func.apply(cell);
++itr;
}
assert(itr == newCells.end());
return std::make_unique<DenseTensor>(_typeRef, std::move(newCells));
}
bool
DenseTensorView::equals(const Tensor &arg) const
{
const DenseTensorView *view = dynamic_cast<const DenseTensorView *>(&arg);
if (view) {
return *this == *view;
}
return false;
}
Tensor::UP
DenseTensorView::clone() const
{
return std::make_unique<DenseTensor>(_typeRef,
Cells(_cellsRef.cbegin(), _cellsRef.cend()));
}
namespace {
void
buildAddress(const DenseTensorCellsIterator &itr, TensorSpec::Address &address)
{
auto addressItr = itr.address().begin();
for (const auto &dim : itr.fast_type().dimensions()) {
address.emplace(std::make_pair(dim.name, TensorSpec::Label(*addressItr++)));
}
assert(addressItr == itr.address().end());
}
}
TensorSpec
DenseTensorView::toSpec() const
{
TensorSpec result(type().to_spec());
TensorSpec::Address address;
for (CellsIterator itr(_typeRef, _cellsRef); itr.valid(); itr.next()) {
buildAddress(itr, address);
result.add(address, itr.cell());
address.clear();
}
return result;
}
void
DenseTensorView::accept(TensorVisitor &visitor) const
{
CellsIterator iterator(_typeRef, _cellsRef);
TensorAddressBuilder addressBuilder;
TensorAddress address;
vespalib::string label;
while (iterator.valid()) {
addressBuilder.clear();
auto rawIndex = iterator.address().begin();
for (const auto &dimension : _typeRef.dimensions()) {
label = vespalib::make_string("%zu", *rawIndex);
addressBuilder.add(dimension.name, label);
++rawIndex;
}
address = addressBuilder.build();
visitor.visit(address, iterator.cell());
iterator.next();
}
}
Tensor::UP
DenseTensorView::join(join_fun_t function, const Tensor &arg) const
{
if (function == eval::operation::Mul::f) {
if (fast_type() == arg.type()) {
return joinDenseTensors(*this, arg, "match",
[](double lhsValue, double rhsValue)
{ return (lhsValue * rhsValue); });
} else {
return dense::apply(*this, arg,
[](double lhsValue, double rhsValue)
{ return lhsValue * rhsValue; });
}
}
return dense::apply(*this, arg, function);
}
Tensor::UP
DenseTensorView::reduce(join_fun_t op,
const std::vector<vespalib::string> &dimensions) const
{
return dense::reduce(*this,
(dimensions.empty() ? _typeRef.dimension_names() : dimensions),
op);
}
} // namespace vespalib::tensor
} // namespace vespalib
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