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
128
129
130
131
132
133
134
135
136
137
138
139
140
141
|
// Copyright Vespa.ai. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
#include <vespa/vespalib/testkit/test_kit.h>
#include <vespa/eval/eval/tensor_function.h>
#include <vespa/eval/eval/operation.h>
#include <vespa/eval/instruction/dense_single_reduce_function.h>
#include <vespa/eval/eval/test/gen_spec.h>
#include <vespa/eval/eval/test/eval_fixture.h>
#include <vespa/vespalib/util/stringfmt.h>
#include <vespa/vespalib/util/stash.h>
using namespace vespalib;
using namespace vespalib::eval;
using namespace vespalib::eval::test;
using namespace vespalib::eval::tensor_function;
using vespalib::make_string_short::fmt;
struct ReduceSpec {
using LookFor = DenseSingleReduceFunction;
size_t outer_size;
size_t reduce_size;
size_t inner_size;
Aggr aggr;
void verify(const LookFor &fun) const {
EXPECT_TRUE(fun.result_is_mutable());
EXPECT_EQUAL(fun.outer_size(), outer_size);
EXPECT_EQUAL(fun.reduce_size(), reduce_size);
EXPECT_EQUAL(fun.inner_size(), inner_size);
EXPECT_EQUAL(int(fun.aggr()), int(aggr));
}
};
void verify_not_optimized(const vespalib::string &expr,
std::vector<CellType> with_cell_types = {CellType::DOUBLE})
{
EvalFixture::verify<ReduceSpec>(expr, {}, CellTypeSpace(with_cell_types, 1));
}
void verify_optimized(const vespalib::string &expr, const ReduceSpec &spec,
std::vector<CellType> with_cell_types = CellTypeUtils::list_types())
{
EvalFixture::verify<ReduceSpec>(expr, {spec}, CellTypeSpace(with_cell_types, 1));
}
void verify_optimized(const vespalib::string &expr, const ReduceSpec &spec1, const ReduceSpec &spec2,
std::vector<CellType> with_cell_types = CellTypeUtils::list_types())
{
EvalFixture::verify<ReduceSpec>(expr, {spec1, spec2}, CellTypeSpace(with_cell_types, 1));
}
TEST("require that reduce to scalar is not optimized") {
TEST_DO(verify_not_optimized("reduce(a10,sum,a)"));
TEST_DO(verify_not_optimized("reduce(a10,sum)"));
}
TEST("require that sparse reduce is not optimized") {
TEST_DO(verify_not_optimized("reduce(x2_1y2_1,sum,x)"));
TEST_DO(verify_not_optimized("reduce(x2_1y2_1,sum,y)"));
}
TEST("require that mixed reduce is not optimized") {
TEST_DO(verify_not_optimized("reduce(x2_1y2_1z3,sum,x)"));
TEST_DO(verify_not_optimized("reduce(x2_1y2_1z3,sum,y)"));
TEST_DO(verify_not_optimized("reduce(x2_1y2_1z3,sum,z)"));
}
TEST("require that reducing trivial dimensions is not optimized") {
TEST_DO(verify_not_optimized("reduce(a1b1c1,avg,c)"));
TEST_DO(verify_not_optimized("reduce(a1b1c1,count,c)"));
TEST_DO(verify_not_optimized("reduce(a1b1c1,prod,c)"));
TEST_DO(verify_not_optimized("reduce(a1b1c1,sum,c)"));
TEST_DO(verify_not_optimized("reduce(a1b1c1,max,c)"));
TEST_DO(verify_not_optimized("reduce(a1b1c1,median,c)"));
TEST_DO(verify_not_optimized("reduce(a1b1c1,min,c)"));
}
TEST("require that atleast_8 dense single reduce works") {
TEST_DO(verify_optimized("reduce(a9b9c9d9,avg,a)", {1, 9, 729, Aggr::AVG}, {CellType::FLOAT}));
TEST_DO(verify_optimized("reduce(a9b9c9d9,avg,b)", {9, 9, 81, Aggr::AVG}, {CellType::FLOAT}));
TEST_DO(verify_optimized("reduce(a9b9c9d9,avg,c)", {81, 9, 9, Aggr::AVG}, {CellType::FLOAT}));
TEST_DO(verify_optimized("reduce(a9b9c9d9,avg,d)", {729, 9, 1, Aggr::AVG}, {CellType::FLOAT}));
TEST_DO(verify_optimized("reduce(a9b9c9d9,sum,c,d)", {81, 81, 1, Aggr::SUM}, {CellType::FLOAT}));
}
TEST("require that simple aggregators can be decomposed into multiple reduce operations") {
TEST_DO(verify_optimized("reduce(a2b3c4d5,sum,a,c)", {3, 4, 5, Aggr::SUM}, {1, 2, 60, Aggr::SUM}));
TEST_DO(verify_optimized("reduce(a2b3c4d5,min,a,c)", {3, 4, 5, Aggr::MIN}, {1, 2, 60, Aggr::MIN}));
TEST_DO(verify_optimized("reduce(a2b3c4d5,max,a,c)", {3, 4, 5, Aggr::MAX}, {1, 2, 60, Aggr::MAX}));
}
TEST("require that reduce dimensions can be listed in reverse order") {
TEST_DO(verify_optimized("reduce(a2b3c4d5,sum,c,a)", {3, 4, 5, Aggr::SUM}, {1, 2, 60, Aggr::SUM}));
TEST_DO(verify_optimized("reduce(a2b3c4d5,min,c,a)", {3, 4, 5, Aggr::MIN}, {1, 2, 60, Aggr::MIN}));
TEST_DO(verify_optimized("reduce(a2b3c4d5,max,c,a)", {3, 4, 5, Aggr::MAX}, {1, 2, 60, Aggr::MAX}));
}
TEST("require that non-simple aggregators cannot be decomposed into multiple reduce operations") {
TEST_DO(verify_not_optimized("reduce(a2b3c4d5,avg,a,c)"));
TEST_DO(verify_not_optimized("reduce(a2b3c4d5,count,a,c)"));
TEST_DO(verify_not_optimized("reduce(a2b3c4d5,median,a,c)"));
}
void verify_optimized_multi(const vespalib::string &arg, const vespalib::string &dim, size_t outer_size, size_t reduce_size, size_t inner_size) {
for (Aggr aggr: Aggregator::list()) {
if (aggr != Aggr::PROD) {
auto expr = fmt("reduce(%s,%s,%s)", arg.c_str(), AggrNames::name_of(aggr)->c_str(), dim.c_str());
TEST_DO(verify_optimized(expr, {outer_size, reduce_size, inner_size, aggr}));
}
}
}
TEST("require that normal dense single reduce works") {
TEST_DO(verify_optimized_multi("a2b3c4d5", "a", 1, 2, 60));
TEST_DO(verify_optimized_multi("a2b3c4d5", "b", 2, 3, 20));
TEST_DO(verify_optimized_multi("a2b3c4d5", "c", 6, 4, 5));
TEST_DO(verify_optimized_multi("a2b3c4d5", "d", 24, 5, 1));
}
TEST("require that dimension-combined dense single reduce works") {
TEST_DO(verify_optimized_multi("a2b3c4d5", "a,b", 1, 6, 20));
TEST_DO(verify_optimized_multi("a2b3c4d5", "b,c", 2, 12, 5));
TEST_DO(verify_optimized_multi("a2b3c4d5", "c,d", 6, 20, 1));
}
TEST("require that minimal dense single reduce works") {
TEST_DO(verify_optimized_multi("a2b1c1", "a", 1, 2, 1));
TEST_DO(verify_optimized_multi("a1b2c1", "b", 1, 2, 1));
TEST_DO(verify_optimized_multi("a1b1c2", "c", 1, 2, 1));
}
TEST("require that trivial dimensions can be trivially reduced") {
TEST_DO(verify_optimized_multi("a2b1c1", "a,b", 1, 2, 1));
TEST_DO(verify_optimized_multi("a2b1c1", "a,c", 1, 2, 1));
TEST_DO(verify_optimized_multi("a1b2c1", "b,a", 1, 2, 1));
TEST_DO(verify_optimized_multi("a1b2c1", "b,c", 1, 2, 1));
TEST_DO(verify_optimized_multi("a1b1c2", "c,a", 1, 2, 1));
TEST_DO(verify_optimized_multi("a1b1c2", "c,b", 1, 2, 1));
}
TEST_MAIN() { TEST_RUN_ALL(); }
|
