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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/fast_value.h>
#include <vespa/eval/eval/tensor_function.h>
#include <vespa/eval/instruction/dense_simple_map_function.h>
#include <vespa/eval/eval/test/eval_fixture.h>
#include <vespa/eval/eval/test/tensor_model.hpp>
#include <vespa/vespalib/gtest/gtest.h>
using namespace vespalib::eval::operation;
using namespace vespalib::eval::tensor_function;
using namespace vespalib::eval::test;
using namespace vespalib::eval;
//using namespace vespalib;
const ValueBuilderFactory &prod_factory = FastValueBuilderFactory::get();
EvalFixture::ParamRepo make_params() {
return EvalFixture::ParamRepo()
.add("a", spec(1.5))
.add("b", spec(2.5))
.add("sparse", spec({x({"a"})}, N()))
.add("mixed", spec({x({"a"}),y(5)}, N()))
.add_matrix("x", 5, "y", 3);
}
EvalFixture::ParamRepo param_repo = make_params();
void verify_optimized(const vespalib::string &expr, op1_t op1, bool inplace = false) {
EvalFixture slow_fixture(prod_factory, expr, param_repo, false);
EvalFixture fixture(prod_factory, expr, param_repo, true, true);
EXPECT_EQ(fixture.result(), EvalFixture::ref(expr, param_repo));
EXPECT_EQ(fixture.result(), slow_fixture.result());
auto info = fixture.find_all<DenseSimpleMapFunction>();
ASSERT_EQ(info.size(), 1u);
EXPECT_TRUE(info[0]->result_is_mutable());
EXPECT_EQ(info[0]->function(), op1);
EXPECT_EQ(info[0]->inplace(), inplace);
ASSERT_EQ(fixture.num_params(), 1);
if (inplace) {
EXPECT_EQ(fixture.get_param(0), fixture.result());
} else {
EXPECT_TRUE(!(fixture.get_param(0) == fixture.result()));
}
}
void verify_not_optimized(const vespalib::string &expr) {
EvalFixture slow_fixture(prod_factory, expr, param_repo, false);
EvalFixture fixture(prod_factory, expr, param_repo, true);
EXPECT_EQ(fixture.result(), EvalFixture::ref(expr, param_repo));
EXPECT_EQ(fixture.result(), slow_fixture.result());
auto info = fixture.find_all<Map>();
EXPECT_TRUE(info.empty());
}
TEST(PowAsMapTest, squared_dense_tensor_is_optimized) {
verify_optimized("x5y3^2.0", Square::f);
verify_optimized("pow(x5y3,2.0)", Square::f);
verify_optimized("join(x5y3,2.0,f(x,y)(x^y))", Square::f);
verify_optimized("join(x5y3,2.0,f(x,y)(pow(x,y)))", Square::f);
verify_optimized("join(x5y3f,2.0,f(x,y)(pow(x,y)))", Square::f);
verify_optimized("join(@x5y3,2.0,f(x,y)(pow(x,y)))", Square::f, true);
verify_optimized("join(@x5y3f,2.0,f(x,y)(pow(x,y)))", Square::f, true);
}
TEST(PowAsMapTest, cubed_dense_tensor_is_optimized) {
verify_optimized("x5y3^3.0", Cube::f);
verify_optimized("pow(x5y3,3.0)", Cube::f);
verify_optimized("join(x5y3,3.0,f(x,y)(x^y))", Cube::f);
verify_optimized("join(x5y3,3.0,f(x,y)(pow(x,y)))", Cube::f);
verify_optimized("join(x5y3f,3.0,f(x,y)(pow(x,y)))", Cube::f);
verify_optimized("join(@x5y3,3.0,f(x,y)(pow(x,y)))", Cube::f, true);
verify_optimized("join(@x5y3f,3.0,f(x,y)(pow(x,y)))", Cube::f, true);
}
TEST(PowAsMapTest, hypercubed_dense_tensor_is_not_optimized) {
verify_not_optimized("join(x5y3,4.0,f(x,y)(pow(x,y)))");
}
TEST(PowAsMapTest, scalar_join_is_not_optimized) {
verify_not_optimized("join(a,2.0,f(x,y)(pow(x,y)))");
}
TEST(PowAsMapTest, sparse_join_is_not_optimized) {
verify_not_optimized("join(sparse,2.0,f(x,y)(pow(x,y)))");
}
TEST(PowAsMapTest, mixed_join_is_not_optimized) {
verify_not_optimized("join(mixed,2.0,f(x,y)(pow(x,y)))");
}
GTEST_MAIN_RUN_ALL_TESTS()
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