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// Copyright Verizon Media. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
#include <vespa/eval/eval/simple_value.h>
#include <vespa/eval/eval/fast_value.h>
#include <vespa/eval/eval/value_codec.h>
#include <vespa/eval/instruction/generic_rename.h>
#include <vespa/eval/eval/interpreted_function.h>
#include <vespa/eval/eval/test/tensor_model.hpp>
#include <vespa/vespalib/util/stringfmt.h>
#include <vespa/vespalib/gtest/gtest.h>
using namespace vespalib;
using namespace vespalib::eval;
using namespace vespalib::eval::instruction;
using namespace vespalib::eval::test;
using vespalib::make_string_short::fmt;
std::vector<Layout> rename_layouts = {
{x(3)},
{x(3),y(5)},
{x(3),y(5),z(7)},
float_cells({x(3),y(5),z(7)}),
{x({"a","b","c"})},
{x({"a","b","c"}),y({"foo","bar"})},
{x({"a","b","c"}),y({"foo","bar"}),z({"i","j","k","l"})},
float_cells({x({"a","b","c"}),y({"foo","bar"}),z({"i","j","k","l"})}),
{x(3),y({"foo", "bar"}),z(7)},
{x({"a","b","c"}),y(5),z({"i","j","k","l"})},
float_cells({x({"a","b","c"}),y(5),z({"i","j","k","l"})})
};
struct FromTo {
std::vector<vespalib::string> from;
std::vector<vespalib::string> to;
};
std::vector<FromTo> rename_from_to = {
{ {"x"}, {"x_renamed"} },
{ {"x"}, {"z_was_x"} },
{ {"x", "y"}, {"y", "x"} },
{ {"x", "z"}, {"z", "x"} },
{ {"x", "y", "z"}, {"a", "b", "c"} },
{ {"z"}, {"a"} },
{ {"y"}, {"z_was_y"} },
{ {"y"}, {"b"} }
};
TEST(GenericRenameTest, dense_rename_plan_can_be_created_and_executed) {
auto lhs = ValueType::from_spec("tensor(a[2],c[3],d{},e[5],g[7],h{})");
std::vector<vespalib::string> from({"a", "c", "e"});
std::vector<vespalib::string> to({"f", "a", "b"});
ValueType renamed = lhs.rename(from, to);
auto plan = DenseRenamePlan(lhs, renamed, from, to);
std::vector<size_t> expect_loop = {15,2,7};
std::vector<size_t> expect_stride = {7,105,1};
EXPECT_EQ(plan.subspace_size, 210);
EXPECT_EQ(plan.loop_cnt, expect_loop);
EXPECT_EQ(plan.stride, expect_stride);
std::vector<int> out;
int want[3][5][2][7];
size_t counter = 0;
for (size_t a = 0; a < 2; ++a) {
for (size_t c = 0; c < 3; ++c) {
for (size_t e = 0; e < 5; ++e) {
for (size_t g = 0; g < 7; ++g) {
want[c][e][a][g] = counter++;
}
}
}
}
std::vector<int> expect(210);
memcpy(&expect[0], &want[0], 210*sizeof(int));
auto move_cell = [&](size_t offset) { out.push_back(offset); };
plan.execute(0, move_cell);
EXPECT_EQ(out, expect);
}
TEST(GenericRenameTest, sparse_rename_plan_can_be_created) {
auto lhs = ValueType::from_spec("tensor(a{},c{},d[3],e{},g{},h[5])");
std::vector<vespalib::string> from({"a", "c", "e"});
std::vector<vespalib::string> to({"f", "a", "b"});
ValueType renamed = lhs.rename(from, to);
auto plan = SparseRenamePlan(lhs, renamed, from, to);
EXPECT_EQ(plan.mapped_dims, 4);
std::vector<size_t> expect = {2,0,1,3};
EXPECT_EQ(plan.output_dimensions, expect);
}
vespalib::string rename_dimension(const vespalib::string &name, const FromTo &ft) {
assert(ft.from.size() == ft.to.size());
for (size_t i = 0; i < ft.from.size(); ++i) {
if (name == ft.from[i]) {
return ft.to[i];
}
}
return name;
}
TensorSpec reference_rename(const TensorSpec &a, const FromTo &ft) {
ValueType res_type = ValueType::from_spec(a.type()).rename(ft.from, ft.to);
EXPECT_FALSE(res_type.is_error());
TensorSpec result(res_type.to_spec());
for (const auto &cell: a.cells()) {
TensorSpec::Address addr;
for (const auto &dim: cell.first) {
addr.insert_or_assign(rename_dimension(dim.first, ft), dim.second);
}
result.add(addr, cell.second);
}
return result;
}
TensorSpec perform_generic_rename(const TensorSpec &a,
const FromTo &ft, const ValueBuilderFactory &factory)
{
Stash stash;
auto lhs = value_from_spec(a, factory);
auto my_op = GenericRename::make_instruction(lhs->type(), ft.from, ft.to, factory, stash);
InterpretedFunction::EvalSingle single(factory, my_op);
return spec_from_value(single.eval(std::vector<Value::CREF>({*lhs})));
}
void test_generic_rename_with(const ValueBuilderFactory &factory) {
for (const auto & layout : rename_layouts) {
TensorSpec lhs = spec(layout, N());
ValueType lhs_type = ValueType::from_spec(lhs.type());
// printf("lhs_type: %s\n", lhs_type.to_spec().c_str());
for (const auto & from_to : rename_from_to) {
ValueType renamed_type = lhs_type.rename(from_to.from, from_to.to);
if (renamed_type.is_error()) continue;
// printf("type %s -> %s\n", lhs_type.to_spec().c_str(), renamed_type.to_spec().c_str());
SCOPED_TRACE(fmt("\n===\nLHS: %s\n===\n", lhs.to_string().c_str()));
auto expect = reference_rename(lhs, from_to);
auto actual = perform_generic_rename(lhs, from_to, factory);
EXPECT_EQ(actual, expect);
}
}
}
TEST(GenericRenameTest, generic_rename_works_for_simple_values) {
test_generic_rename_with(SimpleValueBuilderFactory::get());
}
TEST(GenericRenameTest, generic_rename_works_for_fast_values) {
test_generic_rename_with(FastValueBuilderFactory::get());
}
TensorSpec immediate_generic_rename(const TensorSpec &a, const FromTo &ft)
{
auto &factory = SimpleValueBuilderFactory::get();
auto lhs = value_from_spec(a, factory);
auto up = GenericRename::perform_rename(*lhs, ft.from, ft.to, factory);
return spec_from_value(*up);
}
TEST(GenericRenameTest, immediate_generic_rename_works) {
for (const auto & layout : rename_layouts) {
TensorSpec lhs = spec(layout, N());
ValueType lhs_type = ValueType::from_spec(lhs.type());
// printf("lhs_type: %s\n", lhs_type.to_spec().c_str());
for (const auto & from_to : rename_from_to) {
ValueType renamed_type = lhs_type.rename(from_to.from, from_to.to);
if (renamed_type.is_error()) continue;
// printf("type %s -> %s\n", lhs_type.to_spec().c_str(), renamed_type.to_spec().c_str());
SCOPED_TRACE(fmt("\n===\nLHS: %s\n===\n", lhs.to_string().c_str()));
auto expect = reference_rename(lhs, from_to);
auto actual = immediate_generic_rename(lhs, from_to);
EXPECT_EQ(actual, expect);
}
}
}
GTEST_MAIN_RUN_ALL_TESTS()
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