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// Copyright Vespa.ai. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
#include "tensorfieldvalue.h"
#include <vespa/document/base/exceptions.h>
#include <vespa/document/datatype/tensor_data_type.h>
#include <vespa/vespalib/util/xmlstream.h>
#include <vespa/eval/eval/fast_value.h>
#include <vespa/eval/eval/tensor_spec.h>
#include <vespa/eval/eval/value_codec.h>
#include <vespa/eval/eval/value.h>
#include <ostream>
using vespalib::eval::FastValueBuilderFactory;
using vespalib::eval::TensorSpec;
using vespalib::eval::ValueType;
using namespace vespalib::xml;
namespace document {
namespace {
TensorDataType emptyTensorDataType(ValueType::error_type());
vespalib::string makeWrongTensorTypeMsg(const ValueType &fieldTensorType, const ValueType &tensorType)
{
return vespalib::make_string("Field tensor type is '%s' but other tensor type is '%s'",
fieldTensorType.to_spec().c_str(),
tensorType.to_spec().c_str());
}
}
TensorFieldValue::TensorFieldValue()
: TensorFieldValue(emptyTensorDataType)
{
}
TensorFieldValue::TensorFieldValue(const TensorDataType &dataType)
: FieldValue(Type::TENSOR),
_dataType(dataType),
_tensor()
{
}
TensorFieldValue::TensorFieldValue(const TensorFieldValue &rhs)
: FieldValue(Type::TENSOR),
_dataType(rhs._dataType),
_tensor()
{
if (rhs._tensor) {
_tensor = FastValueBuilderFactory::get().copy(*rhs._tensor);
}
}
TensorFieldValue::TensorFieldValue(TensorFieldValue &&rhs)
: FieldValue(Type::TENSOR),
_dataType(rhs._dataType),
_tensor()
{
_tensor = std::move(rhs._tensor);
}
TensorFieldValue::~TensorFieldValue()
{
}
TensorFieldValue &
TensorFieldValue::operator=(const TensorFieldValue &rhs)
{
if (this != &rhs) {
if (&_dataType == &rhs._dataType || !rhs._tensor ||
_dataType.isAssignableType(rhs._tensor->type())) {
if (rhs._tensor) {
_tensor = FastValueBuilderFactory::get().copy(*rhs._tensor);
} else {
_tensor.reset();
}
} else {
throw WrongTensorTypeException(makeWrongTensorTypeMsg(_dataType.getTensorType(), rhs._tensor->type()), VESPA_STRLOC);
}
}
return *this;
}
TensorFieldValue &
TensorFieldValue::operator=(std::unique_ptr<vespalib::eval::Value> rhs)
{
if (!rhs || _dataType.isAssignableType(rhs->type())) {
_tensor = std::move(rhs);
} else {
throw WrongTensorTypeException(makeWrongTensorTypeMsg(_dataType.getTensorType(), rhs->type()), VESPA_STRLOC);
}
return *this;
}
void
TensorFieldValue::make_empty_if_not_existing()
{
if (!_tensor) {
TensorSpec empty_spec(_dataType.getTensorType().to_spec());
_tensor = value_from_spec(empty_spec, FastValueBuilderFactory::get());
}
}
void
TensorFieldValue::accept(FieldValueVisitor &visitor)
{
visitor.visit(*this);
}
void
TensorFieldValue::accept(ConstFieldValueVisitor &visitor) const
{
visitor.visit(*this);
}
const DataType *
TensorFieldValue::getDataType() const
{
return &_dataType;
}
TensorFieldValue*
TensorFieldValue::clone() const
{
return new TensorFieldValue(*this);
}
void
TensorFieldValue::print(std::ostream& out, bool verbose,
const std::string& indent) const
{
(void) verbose;
(void) indent;
out << "{TensorFieldValue: ";
if (_tensor) {
out << spec_from_value(*_tensor).to_string();
} else {
out << "null";
}
out << "}";
}
void
TensorFieldValue::printXml(XmlOutputStream& out) const
{
out << "{TensorFieldValue::printXml not yet implemented}";
}
FieldValue &
TensorFieldValue::assign(const FieldValue &value)
{
if (value.isA(Type::TENSOR)) {
const auto * rhs = static_cast<const TensorFieldValue *>(&value);
*this = *rhs;
} else {
return FieldValue::assign(value);
}
return *this;
}
void
TensorFieldValue::assignDeserialized(std::unique_ptr<vespalib::eval::Value> rhs)
{
if (!rhs || _dataType.isAssignableType(rhs->type())) {
_tensor = std::move(rhs);
} else {
throw WrongTensorTypeException(makeWrongTensorTypeMsg(_dataType.getTensorType(), rhs->type()), VESPA_STRLOC);
}
}
int
TensorFieldValue::compare(const FieldValue &other) const
{
if (this == &other) {
return 0; // same identity
}
int diff = FieldValue::compare(other);
if (diff != 0) {
return diff; // field type mismatch
}
const TensorFieldValue & rhs(static_cast<const TensorFieldValue &>(other));
if (!_tensor) {
return (rhs._tensor ? -1 : 0);
}
if (!rhs._tensor) {
return 1;
}
// equal pointers always means identical
if (_tensor.get() == rhs._tensor.get()) {
return 0;
}
// compare just the type first:
auto lhs_type = _tensor->type().to_spec();
auto rhs_type = rhs._tensor->type().to_spec();
int type_cmp = lhs_type.compare(rhs_type);
if (type_cmp != 0) {
return type_cmp;
}
// Compare the actual tensors by converting to TensorSpec strings.
// TODO: this can be very slow, check if it might be used for anything
// performance-critical.
auto lhs_spec = spec_from_value(*_tensor).to_string();
auto rhs_spec = spec_from_value(*rhs._tensor).to_string();
return lhs_spec.compare(rhs_spec);
}
} // document
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