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// Copyright Yahoo. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
#include <vespa/searchlib/tensor/tensor_buffer_type_mapper.h>
#include <vespa/searchlib/tensor/tensor_buffer_operations.h>
#include <vespa/eval/eval/value_type.h>
#include <vespa/vespalib/datastore/array_store_config.h>
#include <vespa/vespalib/gtest/gtest.h>
#include <limits>
using search::tensor::TensorBufferOperations;
using search::tensor::TensorBufferTypeMapper;
using vespalib::datastore::ArrayStoreConfig;
using vespalib::eval::ValueType;
const vespalib::string tensor_type_sparse_spec("tensor(x{})");
const vespalib::string tensor_type_2d_spec("tensor(x{},y{})");
const vespalib::string tensor_type_2d_mixed_spec("tensor(x{},y[2])");
const vespalib::string float_tensor_type_spec("tensor<float>(y{})");
const vespalib::string tensor_type_dense_spec("tensor(x[2])");
namespace {
constexpr double default_grow_factor = 1.03;
constexpr size_t default_max_buffer_size = ArrayStoreConfig::default_max_buffer_size;
constexpr size_t max_max_buffer_size = std::numeric_limits<uint32_t>::max();
}
struct TestParam
{
vespalib::string _name;
std::vector<size_t> _array_sizes;
std::vector<size_t> _large_array_sizes;
std::vector<uint32_t> _type_id_caps;
vespalib::string _tensor_type_spec;
TestParam(vespalib::string name, std::vector<size_t> array_sizes, std::vector<size_t> large_array_sizes, std::vector<uint32_t> type_id_caps, const vespalib::string& tensor_type_spec)
: _name(std::move(name)),
_array_sizes(std::move(array_sizes)),
_large_array_sizes(std::move(large_array_sizes)),
_type_id_caps(type_id_caps),
_tensor_type_spec(tensor_type_spec)
{
}
TestParam(const TestParam&);
~TestParam();
};
TestParam::TestParam(const TestParam&) = default;
TestParam::~TestParam() = default;
std::ostream& operator<<(std::ostream& os, const TestParam& param)
{
os << param._name;
return os;
}
class TensorBufferTypeMapperTest : public testing::TestWithParam<TestParam>
{
protected:
ValueType _tensor_type;
TensorBufferOperations _ops;
TensorBufferTypeMapper _mapper;
TensorBufferTypeMapperTest();
~TensorBufferTypeMapperTest() override;
std::vector<size_t> get_array_sizes();
std::vector<size_t> get_large_array_sizes();
void select_type_ids();
};
TensorBufferTypeMapperTest::TensorBufferTypeMapperTest()
: testing::TestWithParam<TestParam>(),
_tensor_type(ValueType::from_spec(GetParam()._tensor_type_spec)),
_ops(_tensor_type),
_mapper(GetParam()._array_sizes.size(), default_grow_factor, default_max_buffer_size, &_ops)
{
}
TensorBufferTypeMapperTest::~TensorBufferTypeMapperTest() = default;
std::vector<size_t>
TensorBufferTypeMapperTest::get_array_sizes()
{
uint32_t max_small_subspaces_type_id = GetParam()._array_sizes.size();
std::vector<size_t> array_sizes;
for (uint32_t type_id = 1; type_id <= max_small_subspaces_type_id; ++type_id) {
auto num_subspaces = _tensor_type.is_dense() ? 1 : (type_id - 1);
array_sizes.emplace_back(_mapper.get_array_size(type_id));
EXPECT_EQ(_ops.get_buffer_size(num_subspaces), array_sizes.back());
}
return array_sizes;
}
std::vector<size_t>
TensorBufferTypeMapperTest::get_large_array_sizes()
{
auto& large_array_sizes = GetParam()._large_array_sizes;
uint32_t max_large = large_array_sizes.size();
TensorBufferTypeMapper mapper(max_large * 100, default_grow_factor, default_max_buffer_size, &_ops);
std::vector<size_t> result;
for (uint32_t i = 0; i < max_large; ++i) {
uint32_t type_id = (i + 1) * 100;
if (type_id > mapper.get_max_type_id(max_large * 100)) {
break;
}
auto array_size = mapper.get_array_size(type_id);
result.emplace_back(array_size);
EXPECT_EQ(type_id, mapper.get_type_id(array_size));
EXPECT_EQ(type_id, mapper.get_type_id(array_size - 1));
if (array_size == large_array_sizes.back()) {
EXPECT_EQ(0u, mapper.get_type_id(array_size + 1));
} else {
EXPECT_EQ(type_id + 1, mapper.get_type_id(array_size + 1));
}
}
return result;
}
void
TensorBufferTypeMapperTest::select_type_ids()
{
auto& array_sizes = GetParam()._array_sizes;
uint32_t type_id = 0;
for (auto array_size : array_sizes) {
++type_id;
EXPECT_EQ(type_id, _mapper.get_type_id(array_size));
EXPECT_EQ(type_id, _mapper.get_type_id(array_size - 1));
if (array_size == array_sizes.back()) {
// Fallback to indirect storage, using type id 0
EXPECT_EQ(0u, _mapper.get_type_id(array_size + 1));
} else {
EXPECT_EQ(type_id + 1, _mapper.get_type_id(array_size + 1));
}
}
}
/*
* For "dense" case, array size for type id 1 is irrelevant, since
* type ids 0 and 1 are not used when storing dense tensors in
* TensorBufferStore.
*/
INSTANTIATE_TEST_SUITE_P(TensorBufferTypeMapperMultiTest,
TensorBufferTypeMapperTest,
testing::Values(TestParam("1d", {8, 16, 32, 40, 64}, {2768, 49712, 950768, 18268976, 351101184}, {27, 30, 514, 584}, tensor_type_sparse_spec),
TestParam("1dfloat", {4, 12, 20, 28, 36}, {2688, 48896, 937248, 18009808, 346121248}, {27, 30, 514, 585}, float_tensor_type_spec),
TestParam("2d", {8, 24, 40, 56, 80}, {2416, 41392, 790112, 15179616, 291726288}, {26, 29, 520, 590}, tensor_type_2d_spec),
TestParam("2dmixed", {8, 24, 48, 64, 96}, {3008, 51728, 987632, 18974512, 364657856}, {26, 29, 513, 583}, tensor_type_2d_mixed_spec),
TestParam("dense", {24}, {}, {1, 1, 1, 1}, tensor_type_dense_spec)),
testing::PrintToStringParamName());
TEST_P(TensorBufferTypeMapperTest, array_sizes_are_calculated)
{
EXPECT_EQ(GetParam()._array_sizes, get_array_sizes());
}
TEST_P(TensorBufferTypeMapperTest, type_ids_are_selected)
{
select_type_ids();
}
TEST_P(TensorBufferTypeMapperTest, large_arrays_grows_exponentially)
{
EXPECT_EQ(GetParam()._large_array_sizes, get_large_array_sizes());
}
TEST_P(TensorBufferTypeMapperTest, type_id_is_capped)
{
auto& exp_type_id_caps = GetParam()._type_id_caps;
std::vector<uint32_t> act_type_id_caps;
std::vector<double> grow_factors = { 2.0, default_grow_factor };
std::vector<size_t> max_buffer_sizes = { default_max_buffer_size, max_max_buffer_size };
for (auto& grow_factor : grow_factors) {
for (auto max_buffer_size : max_buffer_sizes) {
TensorBufferTypeMapper mapper(1000, grow_factor, max_buffer_size, &_ops);
act_type_id_caps.emplace_back(mapper.get_max_type_id(1000));
}
}
EXPECT_EQ(exp_type_id_caps, act_type_id_caps);
}
GTEST_MAIN_RUN_ALL_TESTS()
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