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
|
// 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/test/tensor_model.h>
#include <vespa/eval/eval/value_codec.h>
#include <vespa/document/update/tensor_partial_update.h>
#include <vespa/vespalib/util/stringfmt.h>
#include <vespa/vespalib/gtest/gtest.h>
#include <optional>
using namespace document;
using namespace vespalib;
using namespace vespalib::eval;
using namespace vespalib::eval::test;
using vespalib::make_string_short::fmt;
std::vector<Layout> add_layouts = {
{x({"a"})}, {x({"b"})},
{x({"a","b"})}, {x({"a","c"})},
float_cells({x({"a","b"})}), {x({"a","c"})},
{x({"a","b"})}, float_cells({x({"a","c"})}),
float_cells({x({"a","b"})}), float_cells({x({"a","c"})}),
{x({"a","b","c"}),y({"d","e"})}, {x({"b","f"}),y({"d","g"})},
{x(3),y({"a","b"})}, {x(3),y({"b","c"})}
};
TensorSpec reference_add(const TensorSpec &a, const TensorSpec &b) {
TensorSpec result(a.type());
for (const auto &cell: b.cells()) {
result.add(cell.first, cell.second);
}
auto end_iter = b.cells().end();
for (const auto &cell: a.cells()) {
auto iter = b.cells().find(cell.first);
if (iter == end_iter) {
result.add(cell.first, cell.second);
}
}
return result;
}
Value::UP try_partial_add(const TensorSpec &a, const TensorSpec &b) {
const auto &factory = SimpleValueBuilderFactory::get();
auto lhs = value_from_spec(a, factory);
auto rhs = value_from_spec(b, factory);
return TensorPartialUpdate::add(*lhs, *rhs, factory);
}
TensorSpec perform_partial_add(const TensorSpec &a, const TensorSpec &b) {
auto up = try_partial_add(a, b);
EXPECT_TRUE(up);
return spec_from_value(*up);
}
TEST(PartialAddTest, partial_add_works_for_simple_values) {
ASSERT_TRUE((add_layouts.size() % 2) == 0);
for (size_t i = 0; i < add_layouts.size(); i += 2) {
TensorSpec lhs = spec(add_layouts[i], N());
TensorSpec rhs = spec(add_layouts[i + 1], Div16(N()));
SCOPED_TRACE(fmt("\n===\nLHS: %s\nRHS: %s\n===\n", lhs.to_string().c_str(), rhs.to_string().c_str()));
auto expect = reference_add(lhs, rhs);
auto actual = perform_partial_add(lhs, rhs);
EXPECT_EQ(actual, expect);
}
}
std::vector<Layout> bad_layouts = {
{x(3)}, {x(3),y(1)},
{x(3),y(1)}, {x(3)},
{x(3),y(3)}, {x(3),y({"a"})},
{x(3),y({"a"})}, {x(3),y(3)},
{x({"a"})}, {x({"a"}),y({"b"})},
{x({"a"}),y({"b"})}, {x({"a"})},
{x({"a"})}, {x({"a"}),y(1)}
};
TEST(PartialAddTest, partial_add_returns_nullptr_on_invalid_inputs) {
ASSERT_TRUE((bad_layouts.size() % 2) == 0);
for (size_t i = 0; i < bad_layouts.size(); i += 2) {
TensorSpec lhs = spec(bad_layouts[i], N());
TensorSpec rhs = spec(bad_layouts[i + 1], Div16(N()));
SCOPED_TRACE(fmt("\n===\nLHS: %s\nRHS: %s\n===\n", lhs.to_string().c_str(), rhs.to_string().c_str()));
auto actual = try_partial_add(lhs, rhs);
auto expect = Value::UP();
EXPECT_EQ(actual, expect);
}
}
GTEST_MAIN_RUN_ALL_TESTS()
|
