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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 <vespa/fastos/fastos.h>
#include <vespa/log/log.h>
LOG_SETUP("tensorattribute_test");
#include <vespa/vespalib/testkit/test_kit.h>
#include <vespa/searchlib/tensor/tensor_attribute.h>
#include <vespa/searchlib/tensor/generic_tensor_attribute.h>
#include <vespa/searchlib/attribute/attributeguard.h>
#include <vespa/vespalib/tensor/tensor_factory.h>
#include <vespa/vespalib/tensor/default_tensor.h>
using search::attribute::TensorAttribute;
using search::attribute::GenericTensorAttribute;
using search::AttributeGuard;
using search::AttributeVector;
using vespalib::eval::ValueType;
using vespalib::tensor::Tensor;
using vespalib::tensor::TensorCells;
using vespalib::tensor::TensorDimensions;
using vespalib::tensor::TensorFactory;
namespace vespalib {
namespace tensor {
static bool operator==(const Tensor &lhs, const Tensor &rhs)
{
return lhs.equals(rhs);
}
}
}
struct Fixture
{
using BasicType = search::attribute::BasicType;
using CollectionType = search::attribute::CollectionType;
using Config = search::attribute::Config;
Config _cfg;
vespalib::string _name;
std::shared_ptr<TensorAttribute> _tensorAttr;
std::shared_ptr<AttributeVector> _attr;
vespalib::tensor::DefaultTensor::builder _builder;
Fixture(const vespalib::string &typeSpec)
: _cfg(BasicType::TENSOR, CollectionType::SINGLE),
_name("test"),
_tensorAttr(),
_attr()
{
_cfg.setTensorType(ValueType::from_spec(typeSpec));
_tensorAttr = std::make_shared<GenericTensorAttribute>(_name, _cfg);
_attr = _tensorAttr;
_attr->addReservedDoc();
}
Tensor::UP createTensor(const TensorCells &cells) {
return TensorFactory::create(cells, _builder);
}
Tensor::UP createTensor(const TensorCells &cells,
const TensorDimensions &dimensions) {
return TensorFactory::create(cells, dimensions, _builder);
}
void ensureSpace(uint32_t docId) {
while (_attr->getNumDocs() <= docId) {
uint32_t newDocId = 0u;
_attr->addDoc(newDocId);
_attr->commit();
}
}
void clearTensor(uint32_t docId) {
ensureSpace(docId);
_tensorAttr->clearDoc(docId);
_attr->commit();
}
void setTensor(uint32_t docId, const Tensor &tensor) {
ensureSpace(docId);
_tensorAttr->setTensor(docId, tensor);
_attr->commit();
}
search::attribute::Status getStatus() {
_attr->commit(true);
return _attr->getStatus();
}
void
assertGetNoTensor(uint32_t docId) {
AttributeGuard guard(_attr);
Tensor::UP actTensor = _tensorAttr->getTensor(docId);
EXPECT_FALSE(actTensor);
}
void
assertGetTensor(const Tensor &expTensor, uint32_t docId)
{
AttributeGuard guard(_attr);
Tensor::UP actTensor = _tensorAttr->getTensor(docId);
EXPECT_TRUE(static_cast<bool>(actTensor));
EXPECT_EQUAL(expTensor, *actTensor);
}
void
assertGetTensor(const TensorCells &expCells,
const TensorDimensions &expDimensions,
uint32_t docId)
{
Tensor::UP expTensor = createTensor(expCells, expDimensions);
assertGetTensor(*expTensor, docId);
}
void save() {
bool saveok = _attr->save();
EXPECT_TRUE(saveok);
}
void load() {
_tensorAttr = std::make_shared<GenericTensorAttribute>(_name, _cfg);
_attr = _tensorAttr;
bool loadok = _attr->load();
EXPECT_TRUE(loadok);
}
};
TEST_F("Test empty tensor attribute", Fixture("tensor()"))
{
EXPECT_EQUAL(1u, f._attr->getNumDocs());
EXPECT_EQUAL(1u, f._attr->getCommittedDocIdLimit());
}
TEST_F("Test setting tensor value", Fixture("tensor(x{}, y{})"))
{
f.ensureSpace(4);
EXPECT_EQUAL(5u, f._attr->getNumDocs());
EXPECT_EQUAL(5u, f._attr->getCommittedDocIdLimit());
TEST_DO(f.assertGetNoTensor(4));
f.setTensor(4, *f.createTensor({}, {}));
TEST_DO(f.assertGetTensor({}, {"x", "y"}, 4));
f.setTensor(3, *f.createTensor({ {{}, 3} }, { "x", "y"}));
TEST_DO(f.assertGetTensor({ {{}, 3} }, { "x", "y"}, 3));
TEST_DO(f.assertGetNoTensor(2));
TEST_DO(f.clearTensor(3));
TEST_DO(f.assertGetNoTensor(3));
}
TEST_F("Test saving / loading tensor attribute", Fixture("tensor(x{}, y{})"))
{
f.ensureSpace(4);
f.setTensor(4, *f.createTensor({}, {}));
f.setTensor(3, *f.createTensor({ {{}, 3} }, { "x", "y"}));
TEST_DO(f.save());
TEST_DO(f.load());
EXPECT_EQUAL(5u, f._attr->getNumDocs());
EXPECT_EQUAL(5u, f._attr->getCommittedDocIdLimit());
TEST_DO(f.assertGetTensor({ {{}, 3} }, { "x", "y"}, 3));
TEST_DO(f.assertGetTensor({}, {"x", "y"}, 4));
TEST_DO(f.assertGetNoTensor(2));
}
TEST_F("Test compaction of tensor attribute", Fixture("tensor(x{}, y{})"))
{
f.ensureSpace(4);
Tensor::UP emptytensor = f.createTensor({}, {});
Tensor::UP emptyxytensor = f.createTensor({}, {"x", "y"});
Tensor::UP simpletensor = f.createTensor({ {{}, 3} }, { "x", "y"});
Tensor::UP filltensor = f.createTensor({ {{}, 5} }, { "x", "y"});
f.setTensor(4, *emptytensor);
f.setTensor(3, *simpletensor);
f.setTensor(2, *filltensor);
f.clearTensor(2);
f.setTensor(2, *filltensor);
search::attribute::Status oldStatus = f.getStatus();
search::attribute::Status newStatus = oldStatus;
uint64_t iter = 0;
uint64_t iterLimit = 100000;
for (; iter < iterLimit; ++iter) {
f.clearTensor(2);
f.setTensor(2, *filltensor);
newStatus = f.getStatus();
if (newStatus.getUsed() < oldStatus.getUsed()) {
break;
}
oldStatus = newStatus;
}
EXPECT_GREATER(iterLimit, iter);
LOG(info,
"iter = %" PRIu64 ", memory usage %" PRIu64 ", -> %" PRIu64,
iter, oldStatus.getUsed(), newStatus.getUsed());
TEST_DO(f.assertGetNoTensor(1));
TEST_DO(f.assertGetTensor(*filltensor, 2));
TEST_DO(f.assertGetTensor(*simpletensor, 3));
TEST_DO(f.assertGetTensor(*emptyxytensor, 4));
}
TEST_F("Test tensortype file header tag", Fixture("tensor(x[10])"))
{
f.ensureSpace(4);
TEST_DO(f.save());
vespalib::FileHeader header;
FastOS_File file;
EXPECT_TRUE(file.OpenReadOnly("test.dat"));
(void) header.readFile(file);
file.Close();
EXPECT_TRUE(header.hasTag("tensortype"));
EXPECT_EQUAL("tensor(x[10])", header.getTag("tensortype").asString());
}
TEST_F("Require that tensor attribute can provide empty tensor of correct type", Fixture("tensor(x[10])"))
{
const TensorAttribute &tensorAttr = *f._tensorAttr;
Tensor::UP emptyTensor = tensorAttr.getEmptyTensor();
EXPECT_EQUAL(emptyTensor->getType(), tensorAttr.getConfig().tensorType());
EXPECT_EQUAL(emptyTensor->getType(), ValueType::from_spec("tensor(x[10])"));
}
TEST_MAIN() { TEST_RUN_ALL(); }
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