1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
|
// 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_expand_function.h>
#include <vespa/eval/eval/test/eval_fixture.h>
#include <vespa/eval/eval/test/gen_spec.h>
#include <vespa/vespalib/gtest/gtest.h>
using namespace vespalib;
using namespace vespalib::eval;
using namespace vespalib::eval::test;
using namespace vespalib::eval::tensor_function;
using Inner = DenseSimpleExpandFunction::Inner;
const ValueBuilderFactory &prod_factory = FastValueBuilderFactory::get();
EvalFixture::ParamRepo make_params() {
return EvalFixture::ParamRepo()
.add("a", GenSpec().seq_bias(1.5).gen())
.add("sparse", GenSpec().map("x", {"a"}).gen())
.add("mixed", GenSpec().map("y", {"a"}).idx("z", 5).gen())
.add_variants("a5", GenSpec().idx("a", 5))
.add_variants("b3", GenSpec().idx("b", 3))
.add_variants("A1a5c1", GenSpec().idx("A", 1).idx("a", 5).idx("c", 1))
.add_variants("B1b3c1", GenSpec().idx("B", 1).idx("b", 3).idx("c", 1))
.add_variants("a5c3", GenSpec().idx("a", 5).idx("c", 3))
.add_variants("x3y2", GenSpec().idx("x", 3).idx("y", 2))
.add_variants("a1b1c1", GenSpec().idx("a", 1).idx("b", 1).idx("c", 1))
.add_variants("x1y1z1", GenSpec().idx("x", 1).idx("y", 1).idx("z", 1));
}
EvalFixture::ParamRepo param_repo = make_params();
void verify_optimized(const vespalib::string &expr, Inner inner) {
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<DenseSimpleExpandFunction>();
ASSERT_EQ(info.size(), 1u);
EXPECT_TRUE(info[0]->result_is_mutable());
EXPECT_EQ(info[0]->inner(), inner);
ASSERT_EQ(fixture.num_params(), 2);
EXPECT_TRUE(!(fixture.get_param(0) == fixture.result()));
EXPECT_TRUE(!(fixture.get_param(1) == 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<DenseSimpleExpandFunction>();
EXPECT_TRUE(info.empty());
}
TEST(ExpandTest, simple_expand_is_optimized) {
verify_optimized("join(a5,b3,f(x,y)(x*y))", Inner::RHS);
verify_optimized("join(b3,a5,f(x,y)(x*y))", Inner::LHS);
}
TEST(ExpandTest, multiple_dimensions_are_supported) {
verify_optimized("join(a5,x3y2,f(x,y)(x*y))", Inner::RHS);
verify_optimized("join(x3y2,a5,f(x,y)(x*y))", Inner::LHS);
verify_optimized("join(a5c3,x3y2,f(x,y)(x*y))", Inner::RHS);
verify_optimized("join(x3y2,a5c3,f(x,y)(x*y))", Inner::LHS);
}
TEST(ExpandTest, trivial_dimensions_are_ignored) {
verify_optimized("join(A1a5c1,B1b3c1,f(x,y)(x*y))", Inner::RHS);
verify_optimized("join(B1b3c1,A1a5c1,f(x,y)(x*y))", Inner::LHS);
}
TEST(ExpandTest, simple_expand_handles_asymmetric_operations_correctly) {
verify_optimized("join(a5,b3,f(x,y)(x-y))", Inner::RHS);
verify_optimized("join(b3,a5,f(x,y)(x-y))", Inner::LHS);
verify_optimized("join(a5,b3,f(x,y)(x/y))", Inner::RHS);
verify_optimized("join(b3,a5,f(x,y)(x/y))", Inner::LHS);
}
TEST(ExpandTest, simple_expand_can_have_various_cell_types) {
verify_optimized("join(a5,b3_f,f(x,y)(x*y))", Inner::RHS);
verify_optimized("join(a5_f,b3,f(x,y)(x*y))", Inner::RHS);
verify_optimized("join(a5_f,b3_f,f(x,y)(x*y))", Inner::RHS);
verify_optimized("join(b3,a5_f,f(x,y)(x*y))", Inner::LHS);
verify_optimized("join(b3_f,a5,f(x,y)(x*y))", Inner::LHS);
verify_optimized("join(b3_f,a5_f,f(x,y)(x*y))", Inner::LHS);
}
TEST(ExpandTest, simple_expand_is_never_inplace) {
verify_optimized("join(@a5,@b3,f(x,y)(x*y))", Inner::RHS);
verify_optimized("join(@b3,@a5,f(x,y)(x*y))", Inner::LHS);
}
TEST(ExpandTest, interleaved_dimensions_are_not_optimized) {
verify_not_optimized("join(a5c3,b3,f(x,y)(x*y))");
verify_not_optimized("join(b3,a5c3,f(x,y)(x*y))");
}
TEST(ExpandTest, matching_dimensions_are_not_expanding) {
verify_not_optimized("join(a5c3,a5,f(x,y)(x*y))");
verify_not_optimized("join(a5,a5c3,f(x,y)(x*y))");
}
TEST(ExpandTest, scalar_is_not_expanding) {
verify_not_optimized("join(a5,a,f(x,y)(x*y))");
}
TEST(ExpandTest, unit_tensor_is_not_expanding) {
verify_not_optimized("join(a5,x1y1z1,f(x,y)(x+y))");
verify_not_optimized("join(x1y1z1,a5,f(x,y)(x+y))");
verify_not_optimized("join(a1b1c1,x1y1z1,f(x,y)(x+y))");
}
TEST(ExpandTest, sparse_expand_is_not_optimized) {
verify_not_optimized("join(a5,sparse,f(x,y)(x*y))");
verify_not_optimized("join(sparse,a5,f(x,y)(x*y))");
}
TEST(ExpandTest, mixed_expand_is_not_optimized) {
verify_not_optimized("join(a5,mixed,f(x,y)(x*y))");
verify_not_optimized("join(mixed,a5,f(x,y)(x*y))");
}
GTEST_MAIN_RUN_ALL_TESTS()
|