forked from secretflow/spu
-
Notifications
You must be signed in to change notification settings - Fork 0
/
sort_test.cc
261 lines (200 loc) · 8.09 KB
/
sort_test.cc
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
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
// Copyright 2022 Ant Group Co., Ltd.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
#include "libspu/kernel/hlo/sort.h"
#include <algorithm>
#include <random>
#include <xtensor/xadapt.hpp>
#include <xtensor/xsort.hpp>
#include "gtest/gtest.h"
#include "xtensor/xio.hpp"
#include "libspu/kernel/hal/polymorphic.h"
#include "libspu/kernel/hal/type_cast.h"
#include "libspu/kernel/hlo/casting.h"
#include "libspu/kernel/hlo/const.h"
#include "libspu/kernel/test_util.h"
namespace spu::kernel::hlo {
TEST(SortTest, Simple) {
SPUContext ctx = test::makeSPUContext();
xt::xarray<float> x = {{0.05, 0.5, 0.24}, {5, 50, 2}};
xt::xarray<float> sorted_x = {{0.05, 0.24, 0.5}, {2, 5, 50}};
Value x_v = test::makeValue(&ctx, x, VIS_SECRET);
std::vector<spu::Value> rets = Sort(
&ctx, {x_v}, 1, false,
[&](absl::Span<const spu::Value> inputs) {
return hal::less(&ctx, inputs[0], inputs[1]);
},
Visibility::VIS_SECRET);
EXPECT_EQ(rets.size(), 1);
auto sorted_x_hat =
hal::dump_public_as<float>(&ctx, hal::reveal(&ctx, rets[0]));
EXPECT_TRUE(xt::allclose(sorted_x, sorted_x_hat, 0.01, 0.001))
<< sorted_x << std::endl
<< sorted_x_hat << std::endl;
}
TEST(SortTest, SimpleWithNoPadding) {
SPUContext ctx = test::makeSPUContext();
xt::xarray<float> x = {{0.05, 0.5, 0.24, 0.5}, {2, 5, 50, 2}};
xt::xarray<float> sorted_x = {{0.05, 0.24, 0.5, 0.5}, {2, 2, 5, 50}};
Value x_v = test::makeValue(&ctx, x, VIS_SECRET);
std::vector<spu::Value> rets = Sort(
&ctx, {x_v}, 1, false,
[&](absl::Span<const spu::Value> inputs) {
return hal::less(&ctx, inputs[0], inputs[1]);
},
Visibility::VIS_SECRET);
EXPECT_EQ(rets.size(), 1);
auto sorted_x_hat =
hal::dump_public_as<float>(&ctx, hal::reveal(&ctx, rets[0]));
EXPECT_TRUE(xt::allclose(sorted_x, sorted_x_hat, 0.01, 0.001))
<< sorted_x << std::endl
<< sorted_x_hat << std::endl;
}
TEST(SortTest, MultiInputs) {
SPUContext ctx = test::makeSPUContext();
xt::xarray<float> x1 = {{0.5, 0.05, 0.5, 0.24, 0.5, 0.5, 0.5}};
xt::xarray<float> x2 = {{5, 1, 2, 1, 2, 3, 4}};
xt::xarray<float> sorted_x1 = {{0.05, 0.24, 0.5, 0.5, 0.5, 0.5, 0.5}};
xt::xarray<float> sorted_x2 = {{1, 1, 2, 2, 3, 4, 5}};
Value x1_v = test::makeValue(&ctx, x1, VIS_SECRET);
Value x2_v = test::makeValue(&ctx, x2, VIS_SECRET);
std::vector<spu::Value> rets = Sort(
&ctx, {x1_v, x2_v}, 1, false,
[&](absl::Span<const spu::Value> inputs) {
return hal::less(&ctx, inputs[0], inputs[1]);
},
Visibility::VIS_SECRET);
EXPECT_EQ(rets.size(), 2);
auto sorted_x1_hat =
hal::dump_public_as<float>(&ctx, hal::reveal(&ctx, rets[0]));
EXPECT_TRUE(xt::allclose(sorted_x1, sorted_x1_hat, 0.01, 0.001))
<< sorted_x1 << std::endl
<< sorted_x1_hat << std::endl;
// NOTE: Secret sort is unstable, so rets[1] need to be sort before check.
auto sorted_x2_hat =
xt::sort(hal::dump_public_as<float>(&ctx, hal::reveal(&ctx, rets[1])));
EXPECT_TRUE(xt::allclose(sorted_x2, sorted_x2_hat, 0.01, 0.001))
<< sorted_x2 << std::endl
<< sorted_x2_hat << std::endl;
}
TEST(SortTest, MultiOperands) {
SPUContext ctx = test::makeSPUContext();
xt::xarray<float> k1 = {6, 6, 3, 4, 4, 5, 4};
xt::xarray<float> k2 = {0.5, 0.1, 3.1, 6.5, 4.1, 6.7, 2.5};
xt::xarray<float> sorted_k1 = {3, 4, 4, 4, 5, 6, 6};
xt::xarray<float> sorted_k2 = {3.1, 2.5, 4.1, 6.5, 6.7, 0.1, 0.5};
Value k1_v = test::makeValue(&ctx, k1, VIS_SECRET);
Value k2_v = test::makeValue(&ctx, k2, VIS_SECRET);
std::vector<spu::Value> rets = Sort(
&ctx, {k1_v, k2_v}, 0, false,
[&](absl::Span<const spu::Value> inputs) {
auto pred_0 = hal::equal(&ctx, inputs[0], inputs[1]);
auto pred_1 = hal::less(&ctx, inputs[0], inputs[1]);
auto pred_2 = hal::less(&ctx, inputs[2], inputs[3]);
return hal::select(&ctx, pred_0, pred_2, pred_1);
},
Visibility::VIS_SECRET);
EXPECT_EQ(rets.size(), 2);
auto sorted_k1_hat =
hal::dump_public_as<float>(&ctx, hal::reveal(&ctx, rets[0]));
auto sorted_k2_hat =
hal::dump_public_as<float>(&ctx, hal::reveal(&ctx, rets[1]));
EXPECT_TRUE(xt::allclose(sorted_k1, sorted_k1_hat, 0.01, 0.001))
<< sorted_k1 << std::endl
<< sorted_k1_hat << std::endl;
EXPECT_TRUE(xt::allclose(sorted_k2, sorted_k2_hat, 0.01, 0.001))
<< sorted_k2 << std::endl
<< sorted_k2_hat << std::endl;
}
TEST(SortTest, EmptyOperands) {
SPUContext ctx = test::makeSPUContext();
auto empty_x = Seal(&ctx, Constant(&ctx, 1, {0}));
std::vector<spu::Value> rets = Sort(
&ctx, {empty_x}, 0, false,
[&](absl::Span<const spu::Value> inputs) {
return hal::less(&ctx, inputs[0], inputs[1]);
},
Visibility::VIS_SECRET);
EXPECT_EQ(rets.size(), 1);
EXPECT_EQ(rets[0].numel(), 0);
EXPECT_EQ(rets[0].shape().size(), 1);
EXPECT_EQ(rets[0].shape()[0], 0);
}
TEST(SortTest, LargeNumel) {
SPUContext ctx = test::makeSPUContext();
std::vector<std::size_t> numels = {63, 64, 65, 149, 170, 255, 256, 257, 500};
for (auto numel : numels) {
std::vector<int64_t> asc_arr(numel);
std::vector<std::size_t> shape = {numel};
std::iota(asc_arr.begin(), asc_arr.end(), 0);
auto shuffled_arr = asc_arr;
std::random_device rd;
std::mt19937 rng(rd());
std::shuffle(shuffled_arr.begin(), shuffled_arr.end(), rng);
auto des_arr = asc_arr;
std::reverse(des_arr.begin(), des_arr.end());
auto x = xt::adapt(shuffled_arr, shape);
auto asc_x = xt::adapt(asc_arr, shape);
auto des_x = xt::adapt(des_arr, shape);
Value x_v = test::makeValue(&ctx, x, VIS_SECRET);
// ascending sort
std::vector<spu::Value> rets = Sort(
&ctx, {x_v}, 0, false,
[&](absl::Span<const spu::Value> inputs) {
return hal::less(&ctx, inputs[0], inputs[1]);
},
Visibility::VIS_SECRET);
EXPECT_EQ(rets.size(), 1);
auto asc_x_hat =
hal::dump_public_as<float>(&ctx, hal::reveal(&ctx, rets[0]));
EXPECT_TRUE(xt::allclose(asc_x, asc_x_hat, 0.01, 0.001))
<< asc_x << std::endl
<< asc_x_hat << std::endl;
// descending sort
rets = Sort(
&ctx, {x_v}, 0, false,
[&](absl::Span<const spu::Value> inputs) {
return hal::greater(&ctx, inputs[0], inputs[1]);
},
Visibility::VIS_SECRET);
EXPECT_EQ(rets.size(), 1);
auto des_x_hat =
hal::dump_public_as<float>(&ctx, hal::reveal(&ctx, rets[0]));
EXPECT_TRUE(xt::allclose(des_x, des_x_hat, 0.01, 0.001))
<< des_x << std::endl
<< des_x_hat << std::endl;
}
}
TEST(SimpleSortTest, MultiOperands) {
SPUContext ctx = test::makeSPUContext();
xt::xarray<float> k1 = {7, 6, 5, 5, 4, 4, 4, 1, 3, 3};
xt::xarray<float> k2 = {1, 2, 3, 6, 7, 6, 5, 2, 1, 2};
xt::xarray<float> sorted_k1 = {1, 3, 3, 4, 4, 4, 5, 5, 6, 7};
xt::xarray<float> sorted_k2 = {2, 1, 2, 5, 6, 7, 3, 6, 2, 1};
Value k1_v = test::makeValue(&ctx, k1, VIS_SECRET);
Value k2_v = test::makeValue(&ctx, k2, VIS_SECRET);
std::vector<spu::Value> rets =
SimpleSort(&ctx, {k1_v, k2_v}, 0, hal::SortDirection::Ascending, 2);
EXPECT_EQ(rets.size(), 2);
auto sorted_k1_hat =
hal::dump_public_as<float>(&ctx, hal::reveal(&ctx, rets[0]));
auto sorted_k2_hat =
hal::dump_public_as<float>(&ctx, hal::reveal(&ctx, rets[1]));
EXPECT_TRUE(xt::allclose(sorted_k1, sorted_k1_hat, 0.01, 0.001))
<< sorted_k1 << std::endl
<< sorted_k1_hat << std::endl;
EXPECT_TRUE(xt::allclose(sorted_k2, sorted_k2_hat, 0.01, 0.001))
<< sorted_k2 << std::endl
<< sorted_k2_hat << std::endl;
}
} // namespace spu::kernel::hlo