"examples/nlp/vscode:/vscode.git/clone" did not exist on "4fffcdd588243598aa38ae465aeed40c4e4d22c3"
ref_ops_test.cpp 249 KB
Newer Older
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
/*
 * The MIT License (MIT)
 *
 * Copyright (c) 2015-2022 Advanced Micro Devices, Inc. All rights reserved.
 *
 * Permission is hereby granted, free of charge, to any person obtaining a copy
 * of this software and associated documentation files (the "Software"), to deal
 * in the Software without restriction, including without limitation the rights
 * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
 * copies of the Software, and to permit persons to whom the Software is
 * furnished to do so, subject to the following conditions:
 *
 * The above copyright notice and this permission notice shall be included in
 * all copies or substantial portions of the Software.
 *
 * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
 * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
 * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.  IN NO EVENT SHALL THE
 * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
 * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
 * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
 * THE SOFTWARE.
 */
24
25
#include <iostream>
#include <vector>
26
#include <cmath>
turneram's avatar
turneram committed
27
#include <random>
Charlie Lin's avatar
Charlie Lin committed
28
#include <limits>
Paul's avatar
Paul committed
29
#include <migraphx/literal.hpp>
Paul's avatar
Paul committed
30
31
#include <migraphx/op/pooling.hpp>
#include <migraphx/op/batch_norm_inference.hpp>
Paul's avatar
Paul committed
32
#include <migraphx/instruction.hpp>
33
#include <migraphx/quantization.hpp>
34
#include <migraphx/ref/target.hpp>
35
#include <migraphx/quantization.hpp>
Paul's avatar
Paul committed
36
#include <migraphx/verify.hpp>
Shucai Xiao's avatar
Shucai Xiao committed
37
#include <migraphx/onnx.hpp>
38
39
#include <migraphx/make_op.hpp>

40
41
42
43
#include <migraphx/dead_code_elimination.hpp>
#include <migraphx/simplify_algebra.hpp>
#include <migraphx/pass_manager.hpp>

44
45
#include <migraphx/serialize.hpp>

46
#include "test.hpp"
47
#include <migraphx/half.hpp>
Shucai Xiao's avatar
Shucai Xiao committed
48
#include <iomanip>
Scott Thornton's avatar
Scott Thornton committed
49

Khalique's avatar
Khalique committed
50
float sigmoid(float x) { return 1 / (1 + expf(-x)); }
Khalique's avatar
Khalique committed
51

Khalique's avatar
Khalique committed
52
float elu(float a, float x) { return x > 0 ? x : a * std::expm1(x); }
Khalique's avatar
Khalique committed
53

54
55
56
57
58
void run_pass(migraphx::module& m)
{
    migraphx::run_passes(m, {migraphx::simplify_algebra{}, migraphx::dead_code_elimination{}});
}

Shucai Xiao's avatar
Shucai Xiao committed
59
TEST_CASE(abs_test)
60
{
Shucai Xiao's avatar
Shucai Xiao committed
61
62
63
64
65
66
67
68
69
70
71
72
    migraphx::program p;
    auto* mm = p.get_main_module();
    migraphx::shape s{migraphx::shape::float_type, {2, 2}};
    auto l = mm->add_literal(migraphx::literal{s, {-1, 2, -3, 4}});
    mm->add_instruction(migraphx::make_op("abs"), l);
    p.compile(migraphx::ref::target{});
    auto result = p.eval({}).back();
    std::vector<float> results_vector(4);
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
    std::vector<float> gold{1, 2, 3, 4};
    EXPECT(migraphx::verify_range(results_vector, gold));
}
73

Shucai Xiao's avatar
Shucai Xiao committed
74
75
76
77
78
79
80
81
82
83
84
85
TEST_CASE(acos_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    migraphx::shape s{migraphx::shape::double_type, {3}};
    std::vector<float> data{-0.8f, 0.0f, 1.0f};
    auto l = mm->add_literal(migraphx::literal{s, data});
    mm->add_instruction(migraphx::make_op("acos"), l);
    p.compile(migraphx::ref::target{});
    auto result = p.eval({}).back();
    std::vector<float> results_vector(3);
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
86
87
88
    std::vector<float> gold = data;
    std::transform(
        gold.begin(), gold.end(), gold.begin(), [](float n) -> float { return acosf(n); });
Shucai Xiao's avatar
Shucai Xiao committed
89
90
    EXPECT(migraphx::verify_range(results_vector, gold));
}
91

Shucai Xiao's avatar
Shucai Xiao committed
92
93
94
95
96
97
98
99
100
101
102
103
TEST_CASE(acosh_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    migraphx::shape s{migraphx::shape::double_type, {3}};
    std::vector<float> data{1.1f, 1.2f, 2.0f};
    auto l = mm->add_literal(migraphx::literal{s, data});
    mm->add_instruction(migraphx::make_op("acosh"), l);
    p.compile(migraphx::ref::target{});
    auto result = p.eval({}).back();
    std::vector<float> results_vector(3);
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
104
105
106
    std::vector<float> gold = data;
    std::transform(
        gold.begin(), gold.end(), gold.begin(), [](float n) -> float { return acoshf(n); });
Shucai Xiao's avatar
Shucai Xiao committed
107
    EXPECT(migraphx::verify_range(results_vector, gold));
108
109
}

Shucai Xiao's avatar
Shucai Xiao committed
110
TEST_CASE(add_broadcast_test)
111
112
113
{
    {
        migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
114
115
116
117
118
119
120
121
122
        auto* mm = p.get_main_module();
        migraphx::shape a_shape{migraphx::shape::float_type, {2, 2, 3}};
        std::vector<float> a_data{0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11};
        migraphx::shape b_shape{migraphx::shape::float_type, {2, 2}};
        std::vector<float> b_data{0, -1, -2, -3};
        uint64_t axis = 0;
        auto l1       = mm->add_literal(migraphx::literal{a_shape, a_data});
        auto l2       = mm->add_literal(migraphx::literal{b_shape, b_data});
        auto l3       = mm->add_instruction(
123
124
            migraphx::make_op("broadcast", {{"axis", axis}, {"out_lens", l1->get_shape().lens()}}),
            l2);
Shucai Xiao's avatar
Shucai Xiao committed
125
        mm->add_instruction(migraphx::make_op("add"), l1, l3);
126
        p.compile(migraphx::ref::target{});
127
        auto result = p.eval({}).back();
Shucai Xiao's avatar
Shucai Xiao committed
128
129
        EXPECT(result.get_shape().packed());
        std::vector<float> results_vector(12);
130
        result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
Shucai Xiao's avatar
Shucai Xiao committed
131
        std::vector<float> gold = {0, 1, 2, 2, 3, 4, 4, 5, 6, 6, 7, 8};
132
133
134
135
        EXPECT(migraphx::verify_range(results_vector, gold));
    }
    {
        migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
136
137
138
139
140
141
142
        auto* mm = p.get_main_module();
        migraphx::shape a_shape{migraphx::shape::float_type, {2, 2, 3}};
        std::vector<float> a_data{0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11};
        migraphx::shape b_shape{migraphx::shape::float_type, {2, 2, 1}};
        std::vector<float> b_data{0, -1, -2, -3};
        auto l1 = mm->add_literal(migraphx::literal{a_shape, a_data});
        auto l2 = mm->add_literal(migraphx::literal{b_shape, b_data});
143
144
145
146
        auto l3 =
            mm->add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", {2, 2, 3}}}), l1);
        auto l4 =
            mm->add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", {2, 2, 3}}}), l2);
Shucai Xiao's avatar
Shucai Xiao committed
147
        mm->add_instruction(migraphx::make_op("add"), l3, l4);
148
        p.compile(migraphx::ref::target{});
149
        auto result = p.eval({}).back();
Shucai Xiao's avatar
Shucai Xiao committed
150
151
        EXPECT(result.get_shape().packed());
        std::vector<float> results_vector(12);
152
        result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
Shucai Xiao's avatar
Shucai Xiao committed
153
        std::vector<float> gold = {0, 1, 2, 2, 3, 4, 4, 5, 6, 6, 7, 8};
154
155
        EXPECT(migraphx::verify_range(results_vector, gold));
    }
Shucai Xiao's avatar
Shucai Xiao committed
156
}
157

Shucai Xiao's avatar
Shucai Xiao committed
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
TEST_CASE(add_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    migraphx::shape s{migraphx::shape::float_type, {3}};
    auto l1 = mm->add_literal(migraphx::literal{s, {-1, 0, 1}});
    auto l2 = mm->add_literal(migraphx::literal{s, {1, 2, 3}});
    mm->add_instruction(migraphx::make_op("add"), l1, l2);
    p.compile(migraphx::ref::target{});
    auto result = p.eval({}).back();
    std::vector<float> results_vector(3);
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
    std::vector<float> gold = {0, 2, 4};
    EXPECT(migraphx::verify_range(results_vector, gold));
}
Shucai Xiao's avatar
Shucai Xiao committed
173

Shucai Xiao's avatar
Shucai Xiao committed
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
TEST_CASE(argmax_test_0)
{
    migraphx::program p;
    auto* mm                = p.get_main_module();
    std::vector<float> data = {1.2255,  1.6834,  -2.0305, -0.3221, 0.4701,  0.2583, 0.7545, 2.5758,
                               -1.6849, 0.0928,  0.9022,  -0.8765, -0.4090, 0.9301, 2.0724, -1.5706,
                               0.4867,  -0.1493, 0.6957,  -0.2179, 0.7142,  0.7177, 0.0183, 1.3497};
    std::vector<int64_t> res_gold = {0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 0, 1};
    migraphx::shape data_shape{migraphx::shape::float_type, {2, 3, 4}};
    auto dl = mm->add_literal(migraphx::literal{data_shape, data});
    mm->add_instruction(migraphx::make_op("argmax", {{"axis", 0}}), dl);
    p.compile(migraphx::ref::target{});
    auto result = p.eval({}).back();
    std::vector<int64_t> result_vec;
    result.visit([&](auto output) { result_vec.assign(output.begin(), output.end()); });
Shucai Xiao's avatar
Shucai Xiao committed
189

Shucai Xiao's avatar
Shucai Xiao committed
190
191
    EXPECT(migraphx::verify_range(result_vec, res_gold));
}
Shucai Xiao's avatar
Shucai Xiao committed
192

Shucai Xiao's avatar
Shucai Xiao committed
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
TEST_CASE(argmax_test_1)
{
    migraphx::program p;
    auto* mm                = p.get_main_module();
    std::vector<float> data = {1.2255,  1.6834,  -2.0305, -0.3221, 0.4701,  0.2583, 0.7545, 2.5758,
                               -1.6849, 0.0928,  0.9022,  -0.8765, -0.4090, 0.9301, 2.0724, -1.5706,
                               0.4867,  -0.1493, 0.6957,  -0.2179, 0.7142,  0.7177, 0.0183, 1.3497};
    std::vector<int64_t> res_gold = {0, 0, 2, 1, 2, 0, 0, 2};
    migraphx::shape data_shape{migraphx::shape::float_type, {2, 3, 4}};
    auto dl = mm->add_literal(migraphx::literal{data_shape, data});
    mm->add_instruction(migraphx::make_op("argmax", {{"axis", 1}}), dl);
    p.compile(migraphx::ref::target{});
    auto result = p.eval({}).back();
    std::vector<int64_t> result_vec;
    result.visit([&](auto output) { result_vec.assign(output.begin(), output.end()); });
208

Shucai Xiao's avatar
Shucai Xiao committed
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
    EXPECT(migraphx::verify_range(result_vec, res_gold));
}

TEST_CASE(argmax_test_2)
{
    migraphx::program p;
    auto* mm                = p.get_main_module();
    std::vector<float> data = {1.2255,  1.6834,  -2.0305, -0.3221, 0.4701,  0.2583, 0.7545, 2.5758,
                               -1.6849, 0.0928,  0.9022,  -0.8765, -0.4090, 0.9301, 2.0724, -1.5706,
                               0.4867,  -0.1493, 0.6957,  -0.2179, 0.7142,  0.7177, 0.0183, 1.3497};
    std::vector<int64_t> res_gold = {1, 3, 2, 2, 2, 3};
    migraphx::shape data_shape{migraphx::shape::float_type, {2, 3, 4}};
    auto dl = mm->add_literal(migraphx::literal{data_shape, data});
    mm->add_instruction(migraphx::make_op("argmax", {{"axis", 2}}), dl);
    p.compile(migraphx::ref::target{});
    auto result = p.eval({}).back();
    std::vector<int64_t> result_vec;
    result.visit([&](auto output) { result_vec.assign(output.begin(), output.end()); });

    EXPECT(migraphx::verify_range(result_vec, res_gold));
229
230
}

Shucai Xiao's avatar
Shucai Xiao committed
231
TEST_CASE(argmax_test_neg_2)
232
{
Paul's avatar
Paul committed
233
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
234
235
236
237
238
239
240
241
    auto* mm                = p.get_main_module();
    std::vector<float> data = {1.2255,  1.6834,  -2.0305, -0.3221, 0.4701,  0.2583, 0.7545, 2.5758,
                               -1.6849, 0.0928,  0.9022,  -0.8765, -0.4090, 0.9301, 2.0724, -1.5706,
                               0.4867,  -0.1493, 0.6957,  -0.2179, 0.7142,  0.7177, 0.0183, 1.3497};
    std::vector<int64_t> res_gold = {0, 0, 2, 1, 2, 0, 0, 2};
    migraphx::shape data_shape{migraphx::shape::float_type, {2, 3, 4}};
    auto dl = mm->add_literal(migraphx::literal{data_shape, data});
    mm->add_instruction(migraphx::make_op("argmax", {{"axis", -2}}), dl);
242
    p.compile(migraphx::ref::target{});
243
    auto result = p.eval({}).back();
Shucai Xiao's avatar
Shucai Xiao committed
244
245
    std::vector<int64_t> result_vec;
    result.visit([&](auto output) { result_vec.assign(output.begin(), output.end()); });
246

Shucai Xiao's avatar
Shucai Xiao committed
247
    EXPECT(migraphx::verify_range(result_vec, res_gold));
248
249
}

Shucai Xiao's avatar
Shucai Xiao committed
250
TEST_CASE(argmin_test_0)
251
{
Paul's avatar
Paul committed
252
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
253
254
255
256
257
258
259
260
    auto* mm                = p.get_main_module();
    std::vector<float> data = {1.2255,  1.6834,  -2.0305, -0.3221, 0.4701,  0.2583, 0.7545, 2.5758,
                               -1.6849, 0.0928,  0.9022,  -0.8765, -0.4090, 0.9301, 2.0724, -1.5706,
                               0.4867,  -0.1493, 0.6957,  -0.2179, 0.7142,  0.7177, 0.0183, 1.3497};
    std::vector<int64_t> res_gold = {1, 1, 0, 1, 0, 1, 1, 1, 0, 0, 1, 0};
    migraphx::shape data_shape{migraphx::shape::float_type, {2, 3, 4}};
    auto dl = mm->add_literal(migraphx::literal{data_shape, data});
    mm->add_instruction(migraphx::make_op("argmin", {{"axis", 0}}), dl);
261
    p.compile(migraphx::ref::target{});
262
    auto result = p.eval({}).back();
Shucai Xiao's avatar
Shucai Xiao committed
263
264
    std::vector<int64_t> result_vec;
    result.visit([&](auto output) { result_vec.assign(output.begin(), output.end()); });
265

Shucai Xiao's avatar
Shucai Xiao committed
266
    EXPECT(migraphx::verify_range(result_vec, res_gold));
267
268
}

Shucai Xiao's avatar
Shucai Xiao committed
269
TEST_CASE(argmin_test_1)
Scott Thornton's avatar
Scott Thornton committed
270
{
Shucai Xiao's avatar
Shucai Xiao committed
271
272
273
274
275
276
277
278
279
280
281
282
283
    migraphx::program p;
    auto* mm                = p.get_main_module();
    std::vector<float> data = {1.2255,  1.6834,  -2.0305, -0.3221, 0.4701,  0.2583, 0.7545, 2.5758,
                               -1.6849, 0.0928,  0.9022,  -0.8765, -0.4090, 0.9301, 2.0724, -1.5706,
                               0.4867,  -0.1493, 0.6957,  -0.2179, 0.7142,  0.7177, 0.0183, 1.3497};
    std::vector<int64_t> res_gold = {2, 2, 0, 2, 0, 1, 2, 0};
    migraphx::shape data_shape{migraphx::shape::float_type, {2, 3, 4}};
    auto dl = mm->add_literal(migraphx::literal{data_shape, data});
    mm->add_instruction(migraphx::make_op("argmin", {{"axis", 1}}), dl);
    p.compile(migraphx::ref::target{});
    auto result = p.eval({}).back();
    std::vector<int64_t> result_vec;
    result.visit([&](auto output) { result_vec.assign(output.begin(), output.end()); });
Scott Thornton's avatar
Scott Thornton committed
284

Shucai Xiao's avatar
Shucai Xiao committed
285
286
    EXPECT(migraphx::verify_range(result_vec, res_gold));
}
Scott Thornton's avatar
Scott Thornton committed
287

Shucai Xiao's avatar
Shucai Xiao committed
288
289
TEST_CASE(argmin_test_2)
{
Paul's avatar
Paul committed
290
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
291
292
293
294
295
296
297
298
    auto* mm                = p.get_main_module();
    std::vector<float> data = {1.2255,  1.6834,  -2.0305, -0.3221, 0.4701,  0.2583, 0.7545, 2.5758,
                               -1.6849, 0.0928,  0.9022,  -0.8765, -0.4090, 0.9301, 2.0724, -1.5706,
                               0.4867,  -0.1493, 0.6957,  -0.2179, 0.7142,  0.7177, 0.0183, 1.3497};
    std::vector<int64_t> res_gold = {2, 1, 0, 3, 3, 2};
    migraphx::shape data_shape{migraphx::shape::float_type, {2, 3, 4}};
    auto dl = mm->add_literal(migraphx::literal{data_shape, data});
    mm->add_instruction(migraphx::make_op("argmin", {{"axis", 2}}), dl);
299
    p.compile(migraphx::ref::target{});
300
    auto result = p.eval({}).back();
Shucai Xiao's avatar
Shucai Xiao committed
301
302
    std::vector<int64_t> result_vec;
    result.visit([&](auto output) { result_vec.assign(output.begin(), output.end()); });
Scott Thornton's avatar
Scott Thornton committed
303

Shucai Xiao's avatar
Shucai Xiao committed
304
    EXPECT(migraphx::verify_range(result_vec, res_gold));
Scott Thornton's avatar
Scott Thornton committed
305
306
}

Shucai Xiao's avatar
Shucai Xiao committed
307
TEST_CASE(argmin_test_neg_1)
Scott Thornton's avatar
Scott Thornton committed
308
{
Shucai Xiao's avatar
Shucai Xiao committed
309
310
311
312
313
314
315
316
317
318
319
320
321
    migraphx::program p;
    auto* mm                = p.get_main_module();
    std::vector<float> data = {1.2255,  1.6834,  -2.0305, -0.3221, 0.4701,  0.2583, 0.7545, 2.5758,
                               -1.6849, 0.0928,  0.9022,  -0.8765, -0.4090, 0.9301, 2.0724, -1.5706,
                               0.4867,  -0.1493, 0.6957,  -0.2179, 0.7142,  0.7177, 0.0183, 1.3497};
    std::vector<int64_t> res_gold = {2, 1, 0, 3, 3, 2};
    migraphx::shape data_shape{migraphx::shape::float_type, {2, 3, 4}};
    auto dl = mm->add_literal(migraphx::literal{data_shape, data});
    mm->add_instruction(migraphx::make_op("argmin", {{"axis", -1}}), dl);
    p.compile(migraphx::ref::target{});
    auto result = p.eval({}).back();
    std::vector<int64_t> result_vec;
    result.visit([&](auto output) { result_vec.assign(output.begin(), output.end()); });
Scott Thornton's avatar
Scott Thornton committed
322

Shucai Xiao's avatar
Shucai Xiao committed
323
324
    EXPECT(migraphx::verify_range(result_vec, res_gold));
}
Scott Thornton's avatar
Scott Thornton committed
325

Shucai Xiao's avatar
Shucai Xiao committed
326
327
TEST_CASE(asin_test)
{
Paul's avatar
Paul committed
328
    migraphx::program p;
329
    auto* mm = p.get_main_module();
Shucai Xiao's avatar
Shucai Xiao committed
330
331
332
333
    migraphx::shape s{migraphx::shape::float_type, {3}};
    std::vector<float> data{-0.5f, 0.0f, 0.9f};
    auto l = mm->add_literal(migraphx::literal{s, data});
    mm->add_instruction(migraphx::make_op("asin"), l);
334
    p.compile(migraphx::ref::target{});
335
    auto result = p.eval({}).back();
Shucai Xiao's avatar
Shucai Xiao committed
336
    std::vector<float> results_vector(3);
Scott Thornton's avatar
Scott Thornton committed
337
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
338
339
340
    std::vector<float> gold = data;
    std::transform(
        gold.begin(), gold.end(), gold.begin(), [](float n) -> float { return asinf(n); });
Shucai Xiao's avatar
Shucai Xiao committed
341
    EXPECT(migraphx::verify_range(results_vector, gold));
Scott Thornton's avatar
Scott Thornton committed
342
343
}

Shucai Xiao's avatar
Shucai Xiao committed
344
TEST_CASE(asinh_test)
Scott Thornton's avatar
Scott Thornton committed
345
{
Paul's avatar
Paul committed
346
    migraphx::program p;
347
    auto* mm = p.get_main_module();
Shucai Xiao's avatar
Shucai Xiao committed
348
349
350
351
    migraphx::shape s{migraphx::shape::float_type, {3}};
    std::vector<float> data{-0.5f, 0.0f, 0.9f};
    auto l = mm->add_literal(migraphx::literal{s, data});
    mm->add_instruction(migraphx::make_op("asinh"), l);
352
    p.compile(migraphx::ref::target{});
353
    auto result = p.eval({}).back();
Shucai Xiao's avatar
Shucai Xiao committed
354
    std::vector<float> results_vector(3);
Scott Thornton's avatar
Scott Thornton committed
355
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
356
357
358
    std::vector<float> gold = data;
    std::transform(
        gold.begin(), gold.end(), gold.begin(), [](float n) -> float { return asinhf(n); });
Shucai Xiao's avatar
Shucai Xiao committed
359
    EXPECT(migraphx::verify_range(results_vector, gold));
Scott Thornton's avatar
Scott Thornton committed
360
361
}

Shucai Xiao's avatar
Shucai Xiao committed
362
TEST_CASE(atan_test)
Scott Thornton's avatar
Scott Thornton committed
363
{
Paul's avatar
Paul committed
364
    migraphx::program p;
365
    auto* mm = p.get_main_module();
Shucai Xiao's avatar
Shucai Xiao committed
366
    migraphx::shape s{migraphx::shape::double_type, {3}};
367
368
    std::vector<float> data{-1.0f, 0.0f, 1.0f};
    auto l = mm->add_literal(migraphx::literal{s, data});
Shucai Xiao's avatar
Shucai Xiao committed
369
    mm->add_instruction(migraphx::make_op("atan"), l);
370
    p.compile(migraphx::ref::target{});
371
    auto result = p.eval({}).back();
Shucai Xiao's avatar
Shucai Xiao committed
372
373
    std::vector<float> results_vector(3);
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
374
375
376
    std::vector<float> gold = data;
    std::transform(
        gold.begin(), gold.end(), gold.begin(), [](float n) -> float { return atanf(n); });
Shucai Xiao's avatar
Shucai Xiao committed
377
378
    EXPECT(migraphx::verify_range(results_vector, gold));
}
Scott Thornton's avatar
Scott Thornton committed
379

Shucai Xiao's avatar
Shucai Xiao committed
380
381
382
383
384
TEST_CASE(atanh_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    migraphx::shape s{migraphx::shape::double_type, {3}};
385
386
    std::vector<float> data{0.4435683f, 0.6223626f, 0.316958f};
    auto l = mm->add_literal(migraphx::literal{s, data});
Shucai Xiao's avatar
Shucai Xiao committed
387
388
389
390
    mm->add_instruction(migraphx::make_op("atanh"), l);
    p.compile(migraphx::ref::target{});
    auto result = p.eval({}).back();
    std::vector<float> results_vector(3);
Scott Thornton's avatar
Scott Thornton committed
391
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
392
393
394
    std::vector<float> gold = data;
    std::transform(
        gold.begin(), gold.end(), gold.begin(), [](float n) -> float { return atanhf(n); });
Shucai Xiao's avatar
Shucai Xiao committed
395
    EXPECT(migraphx::verify_range(results_vector, gold));
Scott Thornton's avatar
Scott Thornton committed
396
397
}

Shucai Xiao's avatar
Shucai Xiao committed
398
TEST_CASE(avgpool_test)
Shucai Xiao's avatar
Shucai Xiao committed
399
{
Shucai Xiao's avatar
Shucai Xiao committed
400
401
402
403
404
    // 1D case 1, input is 3D
    {
        migraphx::program p;
        auto* mm   = p.get_main_module();
        auto s     = migraphx::shape{migraphx::shape::float_type, {1, 3, 4}};
405
        auto op    = migraphx::op::pooling{migraphx::op::pooling_mode::average};
Shucai Xiao's avatar
Shucai Xiao committed
406
407
408
        op.lengths = {2};
        op.padding = {0};
        op.stride  = {1};
Shucai Xiao's avatar
Shucai Xiao committed
409

Shucai Xiao's avatar
Shucai Xiao committed
410
411
412
413
414
        std::vector<float> data{0.3, 0.2, 0.4, 0.1, 0.8, 0.5, 0.9, 0.1, 0.1, 0.7, 0.1, 0.6};
        auto l0 = mm->add_literal(migraphx::literal{s, data});
        mm->add_instruction(op, l0);
        p.compile(migraphx::ref::target{});
        auto result = p.eval({}).back();
Shucai Xiao's avatar
Shucai Xiao committed
415

Shucai Xiao's avatar
Shucai Xiao committed
416
417
418
419
420
        std::vector<float> results_vector;
        result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
        std::vector<float> gold{0.25, 0.3, 0.25, 0.65, 0.7, 0.5, 0.4, 0.4, 0.35};
        EXPECT(migraphx::verify_range(results_vector, gold));
    }
Shucai Xiao's avatar
Shucai Xiao committed
421

Shucai Xiao's avatar
Shucai Xiao committed
422
423
424
425
426
    // 1D case 2, stride 2
    {
        migraphx::program p;
        auto* mm   = p.get_main_module();
        auto s     = migraphx::shape{migraphx::shape::float_type, {2, 2, 4}};
427
        auto op    = migraphx::op::pooling{migraphx::op::pooling_mode::average};
Shucai Xiao's avatar
Shucai Xiao committed
428
429
430
        op.lengths = {2};
        op.padding = {1};
        op.stride  = {2};
Shucai Xiao's avatar
Shucai Xiao committed
431

Shucai Xiao's avatar
Shucai Xiao committed
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
        std::vector<float> data{1.6321,
                                -2.4186,
                                0.2239,
                                -1.4232,
                                0.8158,
                                0.4103,
                                -0.3149,
                                -0.1361,
                                -0.3442,
                                2.007,
                                0.4331,
                                1.5295,
                                0.9965,
                                0.4766,
                                1.0942,
                                -0.2915};
        auto l0 = mm->add_literal(migraphx::literal{s, data});
        mm->add_instruction(op, l0);
        p.compile(migraphx::ref::target{});
        auto result = p.eval({}).back();
        std::vector<float> results_vector;
        result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
        std::vector<float> gold{1.6321,
                                -1.0974,
                                -1.4232,
                                0.8158,
                                0.0477,
                                -0.1361,
                                -0.3442,
                                1.22005,
                                1.5295,
                                0.9965,
                                0.7854,
                                -0.2915};
        EXPECT(migraphx::verify_range(results_vector, gold));
    }

    // 3D, input is 5D
    {
        migraphx::program p;
        auto* mm   = p.get_main_module();
        auto s     = migraphx::shape{migraphx::shape::float_type, {2, 2, 3, 3, 3}};
474
        auto op    = migraphx::op::pooling{migraphx::op::pooling_mode::average};
Shucai Xiao's avatar
Shucai Xiao committed
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
        op.lengths = {2, 2, 2};
        op.padding = {0, 0, 0};
        op.stride  = {1, 1, 1};

        std::vector<float> data{
            -0.179, -1.756, 0.651,  1.955,  1.87,   -0.604, 0.247,  0.449,  -0.137, 1.187,  1.593,
            0.424,  2.698,  -0.104, -0.069, -1.293, 0.538,  1.291,  0.974,  1.096,  0.74,   -0.669,
            -1.08,  -1.041, -1.407, 1.43,   -0.211, -0.017, 0.532,  1.276,  0.627,  0.236,  -0.396,
            -0.204, 0.501,  -0.599, -1.414, -0.615, -0.274, 0.168,  -0.144, 0.5,    1.42,   1.082,
            -0.952, -0.846, -1.244, 1.475,  1.246,  1.344,  -1.722, -1.24,  -0.851, 0.06,   0.507,
            0.762,  -0.007, -1.484, 1.028,  0.317,  1.077,  -1.289, 0.875,  -0.417, -0.673, 1.715,
            -0.307, 0.264,  -0.973, 1.412,  2.561,  -0.515, -0.201, 0.827,  -1.231, 1.958,  -0.552,
            0.036,  -0.993, -0.859, -1.458, -0.575, 0.048,  -0.779, -1.025, -1.135, 1.166,  -0.131,
            0.726,  0.52,   0.467,  -0.494, 0.675,  0.203,  -0.63,  -0.918, -0.5,   -1.395, 1.39,
            1.705,  0.444,  -0.835, -0.506, 0.101,  0.602,  0.543,  0.357,  1.042};
        auto l0 = mm->add_literal(migraphx::literal{s, data});
        mm->add_instruction(op, l0);
        p.compile(migraphx::ref::target{});
        auto result = p.eval({}).back();
        std::vector<float> results_vector;
        result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
        std::vector<float> gold{
            0.908,     0.250625,  0.795,     0.40425, 0.711875,  0.194875,  0.014125,  0.09425,
            -0.078375, 0.139375,  0.46075,   0.0285,  -0.188125, -0.085,    0.378125,  -0.085375,
            -0.04,     0.304125,  0.40775,   0.2835,  0.112375,  -0.073375, 0.4355,    -0.187,
            -0.392625, -0.258375, -0.485875, -0.0345, 0.16125,   -0.131875, -0.228375, 0.068625};
        EXPECT(migraphx::verify_range(results_vector, gold));
    }
Shucai Xiao's avatar
Shucai Xiao committed
503
504
505
506
507
}

TEST_CASE(batch_norm_1d_per_actv_test)
{
    migraphx::program p;
508
    auto* mm = p.get_main_module();
Shucai Xiao's avatar
Shucai Xiao committed
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
    migraphx::shape x_shape{migraphx::shape::float_type, {2, 2, 4}};
    migraphx::shape c_shape(migraphx::shape::float_type, {2, 4});

    std::vector<float> x_data     = {0.3547,
                                 0.477,
                                 -1.8575,
                                 0.663,
                                 -0.1881,
                                 -0.5113,
                                 -0.1803,
                                 -0.5915,
                                 -0.1552,
                                 0.9821,
                                 1.827,
                                 0.0558,
                                 -0.0417,
                                 -1.0693,
                                 1.9948,
                                 -0.7448};
    std::vector<float> scale_data = {
        -0.3181, -0.3885, 1.655, 0.0704, -0.2565, -1.1761, -0.3751, 0.1057};
    std::vector<float> bias_data = {
        -1.2118, -2.1156, 0.0046, -0.1341, -0.2724, -1.0718, 0.5535, -0.889};
    std::vector<float> mean_data = {
        0.0997, 0.7295, -0.0153, 0.3594, -0.1149, -0.7903, 0.9073, -0.6681};
    std::vector<float> variance_data = {
        0.13, 0.1276, 6.7878, 0.1843, 0.0107, 0.1556, 2.3655, 0.0117};

537
538
539
540
541
    auto x        = mm->add_literal(migraphx::literal{x_shape, x_data});
    auto scale    = mm->add_literal(migraphx::literal{c_shape, scale_data});
    auto bias     = mm->add_literal(migraphx::literal{c_shape, bias_data});
    auto mean     = mm->add_literal(migraphx::literal{c_shape, mean_data});
    auto variance = mm->add_literal(migraphx::literal{c_shape, variance_data});
Shucai Xiao's avatar
Shucai Xiao committed
542

543
    mm->add_instruction(
544
545
546
547
548
        migraphx::make_op(
            "batch_norm_inference",
            {{"epsilon", 1e-6},
             {"momentum", 0.9},
             {"bn_mode", migraphx::to_value(migraphx::op::batch_norm_inference::per_activation)}}),
Shucai Xiao's avatar
Shucai Xiao committed
549
550
551
552
553
        x,
        scale,
        bias,
        mean,
        variance);
554
    p.compile(migraphx::ref::target{});
Shucai Xiao's avatar
Shucai Xiao committed
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
    auto result = p.eval({}).back();

    std::vector<float> result_vector;
    result.visit([&](auto output) { result_vector.assign(output.begin(), output.end()); });
    std::vector<float> gold = {-1.43677,
                               -1.84098,
                               -1.16563,
                               -0.0843136,
                               -0.090896,
                               -1.90364,
                               0.81875,
                               -0.81415,
                               -0.986915,
                               -2.39032,
                               1.17489,
                               -0.183886,
                               -0.453904,
                               -0.239955,
                               0.288275,
                               -0.963948};
    EXPECT(migraphx::verify_range(result_vector, gold));
}

Shucai Xiao's avatar
Shucai Xiao committed
578
TEST_CASE(batch_norm_1d_test)
Shucai Xiao's avatar
Shucai Xiao committed
579
580
{
    migraphx::program p;
581
    auto* mm = p.get_main_module();
Shucai Xiao's avatar
Shucai Xiao committed
582
583
    migraphx::shape x_shape{migraphx::shape::float_type, {2, 3, 4}};
    migraphx::shape c_shape(migraphx::shape::float_type, {3});
Shucai Xiao's avatar
Shucai Xiao committed
584

Shucai Xiao's avatar
Shucai Xiao committed
585
586
587
588
589
590
591
592
    std::vector<float> x_data        = {0.7253,  -0.6356, 0.4606,  -0.8689, -1.1932, 0.4538,
                                 -1.0018, -0.365,  -0.214,  -0.9553, -0.7672, 0.2331,
                                 -0.8416, -0.6142, 0.0814,  0.2498,  -0.6706, 1.4872,
                                 0.5112,  -1.5212, -0.9126, 0.0735,  1.085,   -0.3417};
    std::vector<float> scale_data    = {1.1, 1.2, 1.3};
    std::vector<float> bias_data     = {0.1, 0.2, 0.3};
    std::vector<float> mean_data     = {-0.1804, -0.2875, -0.2249};
    std::vector<float> variance_data = {2.7914, 7.3424, 3.3287};
Shucai Xiao's avatar
Shucai Xiao committed
593

594
595
596
597
598
    auto x        = mm->add_literal(migraphx::literal{x_shape, x_data});
    auto scale    = mm->add_literal(migraphx::literal{c_shape, scale_data});
    auto bias     = mm->add_literal(migraphx::literal{c_shape, bias_data});
    auto mean     = mm->add_literal(migraphx::literal{c_shape, mean_data});
    auto variance = mm->add_literal(migraphx::literal{c_shape, variance_data});
Shucai Xiao's avatar
Shucai Xiao committed
599

Shucai Xiao's avatar
Shucai Xiao committed
600
601
602
603
604
605
    mm->add_instruction(migraphx::make_op("batch_norm_inference", {{"epsilon", 1e-5}}),
                        x,
                        scale,
                        bias,
                        mean,
                        variance);
606
    p.compile(migraphx::ref::target{});
Shucai Xiao's avatar
Shucai Xiao committed
607
    auto result = p.eval({}).back();
Shucai Xiao's avatar
Shucai Xiao committed
608

Shucai Xiao's avatar
Shucai Xiao committed
609
610
    std::vector<float> result_vector;
    result.visit([&](auto output) { result_vector.assign(output.begin(), output.end()); });
Shucai Xiao's avatar
Shucai Xiao committed
611
612
613
614
    std::vector<float> gold = {0.696301,  -0.199697, 0.522026,  -0.353299, -0.201094, 0.528289,
                               -0.116332, 0.165679,  0.307767,  -0.220435, -0.086407, 0.62634,
                               -0.335325, -0.185608, 0.272366,  0.383238,  0.0303421, 0.985936,
                               0.553709,  -0.346351, -0.190009, 0.51262,   1.23335,   0.216776};
Shucai Xiao's avatar
Shucai Xiao committed
615
616
617
    EXPECT(migraphx::verify_range(result_vector, gold));
}

Shucai Xiao's avatar
Shucai Xiao committed
618
TEST_CASE(batch_norm_3d_test)
619
{
Paul's avatar
Paul committed
620
    migraphx::program p;
621
    auto* mm = p.get_main_module();
Shucai Xiao's avatar
Shucai Xiao committed
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
    migraphx::shape x_shape{migraphx::shape::float_type, {2, 2, 2, 2, 2}};
    migraphx::shape c_shape(migraphx::shape::float_type, {2});

    std::vector<float> x_data     = {-1.0833, 1.9681,  1.2075,  -0.723,  -0.4076, -0.8738, 0.5853,
                                 -0.5357, 1.734,   0.7904,  0.6953,  -0.468,  -0.425,  0.6895,
                                 0.0096,  0.4205,  -0.1749, 1.2821,  2.1453,  -0.8538, 1.0687,
                                 0.0906,  0.0714,  -1.3079, -0.6376, 1.3023,  0.945,   0.0927,
                                 -0.7421, -1.4341, -1.0309, 1.5153};
    std::vector<float> scale_data = {1.1, 1.3};
    std::vector<float> bias_data  = {0.1, 0.2};
    std::vector<float> mean_data  = {0.1537, 0.2161};
    std::vector<float> variance_data = {18.0805, 13.3906};

    auto x        = mm->add_literal(migraphx::literal{x_shape, x_data});
    auto scale    = mm->add_literal(migraphx::literal{c_shape, scale_data});
    auto bias     = mm->add_literal(migraphx::literal{c_shape, bias_data});
    auto mean     = mm->add_literal(migraphx::literal{c_shape, mean_data});
    auto variance = mm->add_literal(migraphx::literal{c_shape, variance_data});

    mm->add_instruction(migraphx::make_op("batch_norm_inference"), x, scale, bias, mean, variance);
642
    p.compile(migraphx::ref::target{});
643
    auto result = p.eval({}).back();
Shucai Xiao's avatar
Shucai Xiao committed
644
645
646
647
648
649
650
651
    std::vector<float> result_vector;
    result.visit([&](auto output) { result_vector.assign(output.begin(), output.end()); });
    std::vector<float> gold = {
        -0.220005, 0.569376, 0.372612, -0.126798,  -0.0452053, -0.165809, 0.211653,  -0.0783441,
        0.739245,  0.404024, 0.370239, -0.0430317, -0.0277556, 0.368179,  0.126639,  0.272615,
        0.0149929, 0.391911, 0.615216, -0.160635,  0.336706,   0.0836764, 0.0787094, -0.278108,
        -0.103283, 0.585881, 0.458947, 0.156161,   -0.140408,  -0.386246, -0.243006, 0.661551};
    EXPECT(migraphx::verify_range(result_vector, gold));
652
653
}

Shucai Xiao's avatar
Shucai Xiao committed
654
TEST_CASE(batch_norm_inference_test)
Shucai Xiao's avatar
Shucai Xiao committed
655
656
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
    auto* mm                 = p.get_main_module();
    const size_t width       = 2;
    const size_t height      = 2;
    const size_t channels    = 4;
    const size_t batches     = 2;
    const float x_val        = 8.0;
    const float mean_val     = 2.0;
    const float variance_val = 4.0;
    const float scale_val    = 2.0f;
    const float bias_val     = 1.0f;
    const float output_val = scale_val * (x_val - mean_val) / (std::sqrt(variance_val)) + bias_val;

    migraphx::shape s{migraphx::shape::float_type, {batches, channels, height, width}};
    migraphx::shape vars{migraphx::shape::float_type, {channels}};
    std::vector<float> x_data(width * height * channels * batches);
    std::vector<float> scale_data(channels);
    std::vector<float> bias_data(channels);
    std::vector<float> mean_data(channels);
    std::vector<float> variance_data(channels);

    std::fill(x_data.begin(), x_data.end(), x_val);
    std::fill(mean_data.begin(), mean_data.end(), mean_val);
    std::fill(variance_data.begin(), variance_data.end(), variance_val);
    std::fill(scale_data.begin(), scale_data.end(), scale_val);
    std::fill(bias_data.begin(), bias_data.end(), bias_val);

    auto x        = mm->add_literal(migraphx::literal{s, x_data});
    auto scale    = mm->add_literal(migraphx::literal{vars, scale_data});
    auto bias     = mm->add_literal(migraphx::literal{vars, bias_data});
    auto mean     = mm->add_literal(migraphx::literal{vars, mean_data});
    auto variance = mm->add_literal(migraphx::literal{vars, variance_data});

    mm->add_instruction(migraphx::make_op("batch_norm_inference"), x, scale, bias, mean, variance);
690
    p.compile(migraphx::ref::target{});
691
    auto result = p.eval({}).back();
Shucai Xiao's avatar
Shucai Xiao committed
692
693
694
695
696
697
698

    std::vector<float> result_vector(width * height * channels * batches);
    std::vector<float> gold(width * height * channels * batches);
    std::fill(gold.begin(), gold.end(), output_val);
    result.visit([&](auto output) { result_vector.assign(output.begin(), output.end()); });

    EXPECT(migraphx::verify_range(result_vector, gold));
Shucai Xiao's avatar
Shucai Xiao committed
699
700
}

Shucai Xiao's avatar
Shucai Xiao committed
701
TEST_CASE(broadcast_test)
Shucai Xiao's avatar
Shucai Xiao committed
702
703
{
    migraphx::program p;
704
    auto* mm = p.get_main_module();
Shucai Xiao's avatar
Shucai Xiao committed
705
706
707
708
709
710
711
712
    migraphx::shape a_shape{migraphx::shape::int32_type, {2, 2}};
    std::vector<int32_t> a_data{0, 0, 0, 0};
    migraphx::shape b_shape{migraphx::shape::int32_type, {2}};
    std::vector<int32_t> b_data{-2, -3};
    uint64_t axis = 0;
    auto l1       = mm->add_literal(migraphx::literal{a_shape, a_data});
    auto l2       = mm->add_literal(migraphx::literal{b_shape, b_data});
    mm->add_instruction(
713
        migraphx::make_op("broadcast", {{"axis", axis}, {"out_lens", l1->get_shape().lens()}}), l2);
714
    p.compile(migraphx::ref::target{});
715
    auto result = p.eval({}).back();
Shucai Xiao's avatar
Shucai Xiao committed
716
717
718
719
720
    auto output = result.get<int32_t>();
    EXPECT(output(0, 0) == -2);
    EXPECT(output(0, 1) == -2);
    EXPECT(output(1, 0) == -3);
    EXPECT(output(1, 1) == -3);
Shucai Xiao's avatar
Shucai Xiao committed
721
722
}

Shucai Xiao's avatar
Shucai Xiao committed
723
TEST_CASE(ceil_test)
724
725
{
    migraphx::program p;
726
    auto* mm = p.get_main_module();
Shucai Xiao's avatar
Shucai Xiao committed
727
    migraphx::shape s{migraphx::shape::float_type, {9}};
728
729
    std::vector<float> data = {1.1, 1.5, 1.6, -1.1, -1.5, -1.6, 0.0, 2.0, -2.0};
    auto l                  = mm->add_literal(migraphx::literal{s, data});
Shucai Xiao's avatar
Shucai Xiao committed
730
    mm->add_instruction(migraphx::make_op("ceil"), l);
731
    p.compile(migraphx::ref::target{});
732
    auto result = p.eval({}).back();
733
734
    std::vector<float> results_vector;
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
735
736
737
    std::vector<float> gold = data;
    std::transform(
        gold.begin(), gold.end(), gold.begin(), [](float n) -> float { return std::ceil(n); });
738
739
740
    EXPECT(migraphx::verify_range(results_vector, gold));
}

Shucai Xiao's avatar
Shucai Xiao committed
741
TEST_CASE(clip_test)
Shucai Xiao's avatar
Shucai Xiao committed
742
743
{
    migraphx::program p;
744
    auto* mm = p.get_main_module();
Shucai Xiao's avatar
Shucai Xiao committed
745
    migraphx::shape s{migraphx::shape::float_type, {3}};
Shucai Xiao's avatar
Shucai Xiao committed
746
747
748
749
    auto l       = mm->add_literal(migraphx::literal{s, {-1.0, 0.0, 10.0}});
    auto min_val = mm->add_literal(0.0f);
    auto max_val = mm->add_literal(6.0f);
    min_val =
750
        mm->add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", {3}}}), min_val);
Shucai Xiao's avatar
Shucai Xiao committed
751
    max_val =
752
        mm->add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", {3}}}), max_val);
Shucai Xiao's avatar
Shucai Xiao committed
753
    mm->add_instruction(migraphx::make_op("clip"), l, min_val, max_val);
754
    p.compile(migraphx::ref::target{});
755
    auto result = p.eval({}).back();
Shucai Xiao's avatar
Shucai Xiao committed
756
757
    std::vector<float> results_vector(3);
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
Shucai Xiao's avatar
Shucai Xiao committed
758
    std::vector<float> gold = {0.0, 0.0, 6.0};
Shucai Xiao's avatar
Shucai Xiao committed
759
760
761
    EXPECT(migraphx::verify_range(results_vector, gold));
}

Shucai Xiao's avatar
Shucai Xiao committed
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
795
796
797
798
799
800
801
802
803
804
805
806
807
808
809
810
811
812
813
814
815
816
817
818
819
820
821
822
823
824
825
826
827
828
829
830
831
832
833
834
835
836
837
838
839
840
841
842
843
844
845
846
847
848
849
850
851
852
853
854
855
856
857
858
859
860
861
862
863
864
865
TEST_CASE(concat_test)
{
    {
        migraphx::program p;
        auto* mm               = p.get_main_module();
        int axis               = 1;
        std::vector<int> data0 = {0, 1, 5, 6};
        std::vector<int> data1 = {2, 3, 4, 7, 8, 9};
        std::vector<int> data2 = {10, 20};
        migraphx::shape s0{migraphx::shape::int32_type, {2, 2}};
        migraphx::shape s1{migraphx::shape::int32_type, {2, 3}};
        migraphx::shape s2{migraphx::shape::int32_type, {2, 1}};
        auto l0 = mm->add_literal(migraphx::literal{s0, data0});
        auto l1 = mm->add_literal(migraphx::literal{s1, data1});
        auto l2 = mm->add_literal(migraphx::literal{s2, data2});
        mm->add_instruction(migraphx::make_op("concat", {{"axis", axis}}), l0, l1, l2);
        p.compile(migraphx::ref::target{});
        auto result           = p.eval({}).back();
        std::vector<int> gold = {0, 1, 2, 3, 4, 10, 5, 6, 7, 8, 9, 20};
        std::vector<int> results_vector(2 * 6);
        result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
        EXPECT(migraphx::verify_range(results_vector, gold));
        EXPECT(migraphx::verify_range(result.get_shape().lens(), std::vector<std::size_t>({2, 6})));
        EXPECT(
            migraphx::verify_range(result.get_shape().strides(), std::vector<std::size_t>({6, 1})));
    }

    {
        migraphx::program p;
        auto* mm               = p.get_main_module();
        int axis               = -1;
        std::vector<int> data0 = {0, 1, 5, 6};
        std::vector<int> data1 = {2, 3, 4, 7, 8, 9};
        std::vector<int> data2 = {10, 20};
        migraphx::shape s0{migraphx::shape::int32_type, {2, 2}};
        migraphx::shape s1{migraphx::shape::int32_type, {2, 3}};
        migraphx::shape s2{migraphx::shape::int32_type, {2, 1}};
        auto l0 = mm->add_literal(migraphx::literal{s0, data0});
        auto l1 = mm->add_literal(migraphx::literal{s1, data1});
        auto l2 = mm->add_literal(migraphx::literal{s2, data2});
        mm->add_instruction(migraphx::make_op("concat", {{"axis", axis}}), l0, l1, l2);
        p.compile(migraphx::ref::target{});
        auto result           = p.eval({}).back();
        std::vector<int> gold = {0, 1, 2, 3, 4, 10, 5, 6, 7, 8, 9, 20};
        std::vector<int> results_vector(2 * 6);
        result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
        EXPECT(migraphx::verify_range(results_vector, gold));
        EXPECT(migraphx::verify_range(result.get_shape().lens(), std::vector<std::size_t>({2, 6})));
        EXPECT(
            migraphx::verify_range(result.get_shape().strides(), std::vector<std::size_t>({6, 1})));
    }

    {
        migraphx::program p;
        auto* mm               = p.get_main_module();
        int axis               = 0;
        std::vector<int> data0 = {0, 1, 2, 3};
        std::vector<int> data1 = {4, 5, 6, 7, 8, 9};
        std::vector<int> data2 = {10, 11};
        migraphx::shape s0{migraphx::shape::int32_type, {2, 2}};
        migraphx::shape s1{migraphx::shape::int32_type, {3, 2}};
        migraphx::shape s2{migraphx::shape::int32_type, {1, 2}};
        auto l0 = mm->add_literal(migraphx::literal{s0, data0});
        auto l1 = mm->add_literal(migraphx::literal{s1, data1});
        auto l2 = mm->add_literal(migraphx::literal{s2, data2});
        mm->add_instruction(migraphx::make_op("concat", {{"axis", axis}}), l0, l1, l2);
        p.compile(migraphx::ref::target{});
        auto result           = p.eval({}).back();
        std::vector<int> gold = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11};
        std::vector<int> results_vector(6 * 2);
        result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
        EXPECT(migraphx::verify_range(results_vector, gold));
        EXPECT(migraphx::verify_range(result.get_shape().lens(), std::vector<std::size_t>({6, 2})));
        EXPECT(
            migraphx::verify_range(result.get_shape().strides(), std::vector<std::size_t>({2, 1})));
    }

    {
        migraphx::program p;
        auto* mm               = p.get_main_module();
        int axis               = -2;
        std::vector<int> data0 = {0, 1, 2, 3};
        std::vector<int> data1 = {4, 5, 6, 7, 8, 9};
        std::vector<int> data2 = {10, 11};
        migraphx::shape s0{migraphx::shape::int32_type, {2, 2}};
        migraphx::shape s1{migraphx::shape::int32_type, {3, 2}};
        migraphx::shape s2{migraphx::shape::int32_type, {1, 2}};
        auto l0 = mm->add_literal(migraphx::literal{s0, data0});
        auto l1 = mm->add_literal(migraphx::literal{s1, data1});
        auto l2 = mm->add_literal(migraphx::literal{s2, data2});
        mm->add_instruction(migraphx::make_op("concat", {{"axis", axis}}), l0, l1, l2);
        p.compile(migraphx::ref::target{});
        auto result           = p.eval({}).back();
        std::vector<int> gold = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11};
        std::vector<int> results_vector(6 * 2);
        result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
        EXPECT(migraphx::verify_range(results_vector, gold));
        EXPECT(migraphx::verify_range(result.get_shape().lens(), std::vector<std::size_t>({6, 2})));
        EXPECT(
            migraphx::verify_range(result.get_shape().strides(), std::vector<std::size_t>({2, 1})));
    }
}

TEST_CASE(contiguous_test)
Shucai Xiao's avatar
Shucai Xiao committed
866
{
Shucai Xiao's avatar
Shucai Xiao committed
867
868
869
870
    migraphx::shape a_shape{migraphx::shape::float_type, {1, 3, 2, 2}, {12, 1, 6, 3}};
    std::vector<float> data(12);
    std::iota(data.begin(), data.end(), 0);

Shucai Xiao's avatar
Shucai Xiao committed
871
    migraphx::program p;
872
    auto* mm = p.get_main_module();
Shucai Xiao's avatar
Shucai Xiao committed
873
874
    auto l   = mm->add_literal(migraphx::literal{a_shape, data});
    mm->add_instruction(migraphx::make_op("contiguous"), l);
875
    p.compile(migraphx::ref::target{});
Shucai Xiao's avatar
Shucai Xiao committed
876
    auto result = p.eval({}).back();
Shucai Xiao's avatar
Shucai Xiao committed
877
878

    std::vector<float> results_vector(12);
Shucai Xiao's avatar
Shucai Xiao committed
879
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
Shucai Xiao's avatar
Shucai Xiao committed
880
881
882
    std::vector<size_t> new_lens    = {1, 3, 2, 2};
    std::vector<size_t> new_strides = {12, 1, 6, 3};
    EXPECT(migraphx::verify_range(results_vector, data));
Shucai Xiao's avatar
Shucai Xiao committed
883
884
}

Shucai Xiao's avatar
Shucai Xiao committed
885
TEST_CASE(conv2d_padding_stride_test)
Shucai Xiao's avatar
Shucai Xiao committed
886
887
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
888
889
890
891
892
893
894
895
896
897
898
899
900
901
902
903
904
905
906
907
908
909
910
911
912
913
914
915
916
917
918
919
920
921
922
923
924
925
926
927
928
929
930
931
932
933
934
935
936
937
938
939
    auto* mm             = p.get_main_module();
    std::vector<float> a = {
        2.71567607,  -0.9960829,  0.91671127,  0.28140706,  0.63235772,  0.08077253,  0.80927712,
        -0.59108931, -1.05421555, -2.76622486, -0.85044265, -0.52049929, 0.67726439,  -0.65290606,
        0.02345525,  -0.33579525, 0.38901961,  1.05473483,  -1.31188095, 1.8963089,   -0.07265259,
        0.947339,    0.41949373,  -0.70814759, 0.25892952,  1.07311416,  1.2571274,   -0.62318051,
        -0.19951548, -0.94232577, -0.29393643, 0.42292568,  -0.80230367, 1.40909171,  0.63617158,
        0.13900366,  1.09253144,  -0.15265895, 1.54781747,  0.72780299,  1.09189606,  -0.38068101,
        0.97057933,  -0.58958799, 1.56188643,  0.21474874,  0.58725154,  -1.27097559, -0.03024297,
        1.09437096,  -0.4897908,  0.34838957,  -1.31042492, -1.69069934, 0.86956722,  -0.40457946,
        0.46691212,  1.29273605,  0.26464137,  0.22073045,  -1.02178168, 0.22163901,  -1.84387338,
        0.75522131,  -0.45775682, -0.42241111, -1.50944722, 1.07256448,  -1.95876884, -0.28106022,
        0.3341668,   2.13129425,  -1.14728117, -1.06555498, -0.298444,   -0.88322699, -0.65866792,
        -2.06007552, 0.01374334,  0.45612028,  0.52715492,  1.01914406,  -1.72659791, 0.80650896,
        0.16860051,  2.24112225,  -0.78620857, 0.36566174,  -0.07020134, -0.47976932, -0.68230027,
        -0.94711417, -0.54506505, 1.66504931,  -0.71860826, 0.61132306};

    std::vector<float> c = {
        -0.14601797, -0.13000923, 0.06521662,  0.06178288,  -0.11083675, 0.10154136,  0.09990512,
        0.06030385,  -0.11374587, -0.17523311, -0.14344215, 0.17802463,  0.06300922,  -0.15325832,
        0.07066704,  0.05166031,  0.00615084,  -0.02606523, 0.08083995,  -0.17913306, 0.0624622,
        0.0735731,   -0.04198661, -0.0164391,  -0.06374192, 0.16569914,  0.10681538,  0.07370754,
        0.02802075,  0.00282027,  0.15104802,  -0.11084409, -0.00197773, 0.07924436,  0.03528272,
        0.04765259,  -0.15896152, 0.07917164,  0.12125669,  -0.1154705,  -0.11999125, 0.12749968,
        -0.06269585, 0.18658121,  -0.03944227, 0.0111798,   -0.17731084, 0.11789055,  -0.09982193,
        0.08142821,  0.0729029,   0.11303909,  0.12735154,  0.03885292};

    std::vector<float> s = {-0.20817225,
                            0.87965256,
                            0.14958936,
                            -1.24887264,
                            -0.06540672,
                            0.20778663,
                            0.40456355,
                            -0.99900877,
                            0.4917807,
                            0.1994698,
                            0.64205718,
                            0.37798831,
                            -0.25315839,
                            0.44276932,
                            -0.16138598,
                            0.79344082};

    migraphx::shape a_shape{migraphx::shape::float_type, {2, 3, 4, 4}};
    auto al = mm->add_literal(migraphx::literal{a_shape, a});

    migraphx::shape c_shape{migraphx::shape::float_type, {2, 3, 3, 3}};
    auto cl = mm->add_literal(migraphx::literal{c_shape, c});

    mm->add_instruction(
        migraphx::make_op("convolution", {{"padding", {1, 1}}, {"stride", {2, 2}}}), al, cl);
940
    p.compile(migraphx::ref::target{});
941
    auto result = p.eval({}).back();
Shucai Xiao's avatar
Shucai Xiao committed
942
943

    std::vector<float> results_vector(16);
Shucai Xiao's avatar
Shucai Xiao committed
944
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
Shucai Xiao's avatar
Shucai Xiao committed
945
    EXPECT(migraphx::verify_range(results_vector, s));
Shucai Xiao's avatar
Shucai Xiao committed
946
947
}

Shucai Xiao's avatar
Shucai Xiao committed
948
TEST_CASE(conv2d_padding_test)
949
{
Paul's avatar
Paul committed
950
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
951
952
953
954
955
956
957
958
959
960
961
962
963
964
965
966
967
968
969
970
971
972
973
974
975
976
977
978
979
980
981
982
983
984
985
986
987
988
989
990
991
992
993
994
995
996
997
    auto* mm             = p.get_main_module();
    std::vector<float> a = {
        2.71567607,  -0.9960829,  0.91671127,  0.28140706,  0.63235772,  0.08077253,  0.80927712,
        -0.59108931, -1.05421555, -2.76622486, -0.85044265, -0.52049929, 0.67726439,  -0.65290606,
        0.02345525,  -0.33579525, 0.38901961,  1.05473483,  -1.31188095, 1.8963089,   -0.07265259,
        0.947339,    0.41949373,  -0.70814759, 0.25892952,  1.07311416,  1.2571274,   -0.62318051,
        -0.19951548, -0.94232577, -0.29393643, 0.42292568,  -0.80230367, 1.40909171,  0.63617158,
        0.13900366,  1.09253144,  -0.15265895, 1.54781747,  0.72780299,  1.09189606,  -0.38068101,
        0.97057933,  -0.58958799, 1.56188643,  0.21474874,  0.58725154,  -1.27097559, -0.03024297,
        1.09437096,  -0.4897908,  0.34838957,  -1.31042492, -1.69069934, 0.86956722,  -0.40457946,
        0.46691212,  1.29273605,  0.26464137,  0.22073045,  -1.02178168, 0.22163901,  -1.84387338,
        0.75522131,  -0.45775682, -0.42241111, -1.50944722, 1.07256448,  -1.95876884, -0.28106022,
        0.3341668,   2.13129425,  -1.14728117, -1.06555498, -0.298444,   -0.88322699, -0.65866792,
        -2.06007552, 0.01374334,  0.45612028,  0.52715492,  1.01914406,  -1.72659791, 0.80650896,
        0.16860051,  2.24112225,  -0.78620857, 0.36566174,  -0.07020134, -0.47976932, -0.68230027,
        -0.94711417, -0.54506505, 1.66504931,  -0.71860826, 0.61132306};

    std::vector<float> c = {
        -0.16115488, -0.09800646, -0.05412646, 0.10475694,  0.00555485,  -0.12667653, 0.0458357,
        -0.02656217, -0.16338061, 0.15037455,  0.0102711,   0.01303349,  0.05242859,  0.02034754,
        0.04751867,  -0.17038961, -0.1434752,  -0.10770349, 0.05676742,  -0.15838449, 0.10128359,
        -0.18958683, 0.11954515,  0.10758857,  -0.01058291, -0.12797487, 0.08971019,  0.18793164,
        -0.00881396, -0.06588994, -0.13321903, -0.03300409, 0.01439607,  0.07618178,  -0.11556662,
        0.00764295,  0.12956454,  -0.08937147, -0.12763587, 0.04674943,  0.05765297,  0.11336918,
        0.14747436,  -0.06199479, -0.01166052, -0.12432006, -0.04494537, -0.17581205, 0.09475745,
        0.1149437,   -0.1014564,  0.0274073,   -0.01323579, -0.11092556};

    std::vector<float> s = {
        -0.0201216,  0.40407312,  -0.39005592, -0.0631946,  0.37963012,  -0.64611685, 0.1349397,
        -0.54113752, 0.28533003,  0.27667275,  -0.16442731, -0.181494,   0.30564839,  0.58744538,
        0.32015014,  0.24969585,  -0.27367792, -0.53308117, 0.41236052,  0.26136363,  -0.01489828,
        0.57652152,  -0.38506854, 0.119615,    0.0437076,   0.04779706,  0.57887721,  0.23126155,
        0.05695833,  -0.68200272, 0.02063358,  -0.10267162, 0.8062973,   -0.38149622, -0.40134856,
        -0.03353126, 0.38991132,  -0.3478111,  0.03661491,  0.25783631,  0.62772679,  -0.1961118,
        0.76423508,  -0.36241418, -0.20994355, -0.12368261, -0.9406727,  0.02340185,  -0.08793129,
        -0.02471633, -0.58163726, -0.02211772, -0.42014724, 0.77525634,  0.504951,    -0.20537445,
        -0.20369984, -0.83037728, -1.40423918, -0.46160448, -0.22944322, 0.36074194,  0.49579027,
        0.46527559};

    migraphx::shape a_shape{migraphx::shape::float_type, {2, 3, 4, 4}};
    auto al = mm->add_literal(migraphx::literal{a_shape, a});

    migraphx::shape c_shape{migraphx::shape::float_type, {2, 3, 3, 3}};
    auto cl = mm->add_literal(migraphx::literal{c_shape, c});

    mm->add_instruction(
        migraphx::make_op("convolution", {{"padding", {1, 1}}, {"stride", {1, 1}}}), al, cl);
998
    p.compile(migraphx::ref::target{});
999
    auto result = p.eval({}).back();
Shucai Xiao's avatar
Shucai Xiao committed
1000
1001

    std::vector<float> results_vector(64);
1002
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
Shucai Xiao's avatar
Shucai Xiao committed
1003
    EXPECT(migraphx::verify_range(results_vector, s));
1004
1005
}

Shucai Xiao's avatar
Shucai Xiao committed
1006
TEST_CASE(conv2d_test)
1007
{
Paul's avatar
Paul committed
1008
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
1009
1010
1011
1012
1013
1014
1015
1016
1017
1018
1019
1020
1021
1022
1023
1024
1025
1026
1027
1028
1029
1030
1031
1032
1033
1034
1035
1036
1037
1038
1039
1040
1041
1042
1043
1044
1045
1046
1047
1048
1049
1050
1051
1052
1053
1054
1055
1056
1057
1058
1059
1060
1061
    auto* mm             = p.get_main_module();
    std::vector<float> a = {
        2.71567607,  -0.9960829,  0.91671127,  0.28140706,  0.63235772,  0.08077253,  0.80927712,
        -0.59108931, -1.05421555, -2.76622486, -0.85044265, -0.52049929, 0.67726439,  -0.65290606,
        0.02345525,  -0.33579525, 0.38901961,  1.05473483,  -1.31188095, 1.8963089,   -0.07265259,
        0.947339,    0.41949373,  -0.70814759, 0.25892952,  1.07311416,  1.2571274,   -0.62318051,
        -0.19951548, -0.94232577, -0.29393643, 0.42292568,  -0.80230367, 1.40909171,  0.63617158,
        0.13900366,  1.09253144,  -0.15265895, 1.54781747,  0.72780299,  1.09189606,  -0.38068101,
        0.97057933,  -0.58958799, 1.56188643,  0.21474874,  0.58725154,  -1.27097559, -0.03024297,
        1.09437096,  -0.4897908,  0.34838957,  -1.31042492, -1.69069934, 0.86956722,  -0.40457946,
        0.46691212,  1.29273605,  0.26464137,  0.22073045,  -1.02178168, 0.22163901,  -1.84387338,
        0.75522131,  -0.45775682, -0.42241111, -1.50944722, 1.07256448,  -1.95876884, -0.28106022,
        0.3341668,   2.13129425,  -1.14728117, -1.06555498, -0.298444,   -0.88322699, -0.65866792,
        -2.06007552, 0.01374334,  0.45612028,  0.52715492,  1.01914406,  -1.72659791, 0.80650896,
        0.16860051,  2.24112225,  -0.78620857, 0.36566174,  -0.07020134, -0.47976932, -0.68230027,
        -0.94711417, -0.54506505, 1.66504931,  -0.71860826, 0.61132306};

    std::vector<float> c = {
        2.82721668e-02,  6.44195229e-02,  1.53499246e-02,  1.72468081e-01,  -6.33238107e-02,
        9.49496776e-02,  1.40258059e-01,  -7.92879611e-02, -1.29301161e-01, 3.11307609e-03,
        -1.90624535e-01, 1.13238767e-01,  -2.80647576e-02, 3.12882811e-02,  -3.52091640e-02,
        3.33581865e-02,  6.43158704e-02,  7.40238279e-02,  -1.00106120e-01, -9.56912562e-02,
        1.44342467e-01,  9.40258950e-02,  6.36333972e-02,  1.66158378e-03,  -8.91554281e-02,
        2.58734226e-02,  1.70919895e-02,  1.78214177e-01,  8.84564668e-02,  8.98126513e-02,
        -1.63809001e-01, 1.37802169e-01,  1.66439757e-01,  -1.45631135e-02, 1.88469887e-04,
        4.76950556e-02,  -1.91969007e-01, -1.76233292e-01, -7.70473927e-02, 1.14828631e-01,
        1.76608220e-01,  -1.50728196e-01, 1.99946314e-02,  -5.88052124e-02, 1.31612435e-01,
        1.61106288e-02,  -1.35080189e-01, 1.49512306e-01,  3.86456847e-02,  1.29330024e-01,
        -3.22975963e-02, -5.60784787e-02, -5.41997552e-02, 4.78562862e-02};

    std::vector<float> s = {0.27039781,
                            0.19105849,
                            -0.06339942,
                            -0.65087199,
                            0.40867025,
                            0.05063812,
                            -0.14907975,
                            0.49018705,
                            -0.49197209,
                            0.33236548,
                            -0.39374301,
                            0.16012701,
                            0.06574871,
                            0.71606487,
                            -0.55201721,
                            -0.46427044};
    migraphx::shape a_shape{migraphx::shape::float_type, {2, 3, 4, 4}};
    auto al = mm->add_literal(migraphx::literal{a_shape, a});

    migraphx::shape c_shape{migraphx::shape::float_type, {2, 3, 3, 3}};
    auto cl = mm->add_literal(migraphx::literal{c_shape, c});

    mm->add_instruction(migraphx::make_op("convolution"), al, cl);
1062
    p.compile(migraphx::ref::target{});
1063
    auto result = p.eval({}).back();
Shucai Xiao's avatar
Shucai Xiao committed
1064
1065

    std::vector<float> results_vector(16);
1066
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
Shucai Xiao's avatar
Shucai Xiao committed
1067
    EXPECT(migraphx::verify_range(results_vector, s));
1068
1069
}

Shucai Xiao's avatar
Shucai Xiao committed
1070
TEST_CASE(conv3d_test)
1071
{
Paul's avatar
Paul committed
1072
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
1073
1074
1075
1076
1077
1078
1079
1080
1081
1082
1083
1084
1085
1086
1087
1088
1089
1090
1091
1092
1093
1094
1095
1096
1097
1098
1099
1100
1101
1102
1103
1104
1105
1106
1107
1108
1109
1110
1111
1112
1113
1114
1115
1116
1117
1118
1119
1120
1121
1122
1123
1124
1125
1126
1127
1128
1129
    auto* mm             = p.get_main_module();
    std::vector<float> a = {
        2.71567607,  -0.9960829,  0.91671127,  0.28140706,  0.63235772,  0.08077253,  0.80927712,
        -0.59108931, -1.05421555, -2.76622486, -0.85044265, -0.52049929, 0.67726439,  -0.65290606,
        0.02345525,  -0.33579525, 0.38901961,  1.05473483,  -1.31188095, 1.8963089,   -0.07265259,
        0.947339,    0.41949373,  -0.70814759, 0.25892952,  1.07311416,  1.2571274,   -0.62318051,
        -0.19951548, -0.94232577, -0.29393643, 0.42292568,  -0.80230367, 1.40909171,  0.63617158,
        0.13900366,  1.09253144,  -0.15265895, 1.54781747,  0.72780299,  1.09189606,  -0.38068101,
        0.97057933,  -0.58958799, 1.56188643,  0.21474874,  0.58725154,  -1.27097559, -0.03024297,
        1.09437096,  -0.4897908,  0.34838957,  -1.31042492, -1.69069934, 0.86956722,  -0.40457946,
        0.46691212,  1.29273605,  0.26464137,  0.22073045,  -1.02178168, 0.22163901,  -1.84387338,
        0.75522131,  -0.45775682, -0.42241111, -1.50944722, 1.07256448,  -1.95876884, -0.28106022,
        0.3341668,   2.13129425,  -1.14728117, -1.06555498, -0.298444,   -0.88322699, -0.65866792,
        -2.06007552, 0.01374334,  0.45612028,  0.52715492,  1.01914406,  -1.72659791, 0.80650896,
        0.16860051,  2.24112225,  -0.78620857, 0.36566174,  -0.07020134, -0.47976932, -0.68230027,
        -0.94711417, -0.54506505, 1.66504931,  -0.71860826, 0.61132306};

    std::vector<float> c = {
        2.82721668e-02,  6.44195229e-02,  1.53499246e-02,  1.72468081e-01,  -6.33238107e-02,
        9.49496776e-02,  1.40258059e-01,  -7.92879611e-02, -1.29301161e-01, 3.11307609e-03,
        -1.90624535e-01, 1.13238767e-01,  -2.80647576e-02, 3.12882811e-02,  -3.52091640e-02,
        3.33581865e-02,  6.43158704e-02,  7.40238279e-02,  -1.00106120e-01, -9.56912562e-02,
        1.44342467e-01,  9.40258950e-02,  6.36333972e-02,  1.66158378e-03,  -8.91554281e-02,
        2.58734226e-02,  1.70919895e-02,  1.78214177e-01,  8.84564668e-02,  8.98126513e-02,
        -1.63809001e-01, 1.37802169e-01,  1.66439757e-01,  -1.45631135e-02, 1.88469887e-04,
        4.76950556e-02,  -1.91969007e-01, -1.76233292e-01, -7.70473927e-02, 1.14828631e-01,
        1.76608220e-01,  -1.50728196e-01, 1.99946314e-02,  -5.88052124e-02, 1.31612435e-01,
        1.61106288e-02,  -1.35080189e-01, 1.49512306e-01,  3.86456847e-02,  1.29330024e-01,
        -3.22975963e-02, -5.60784787e-02, -5.41997552e-02, 4.78562862e-02};

    std::vector<float> s = {0.27039781,
                            0.19105849,
                            -0.06339942,
                            -0.65087199,
                            0.40867025,
                            0.05063812,
                            -0.14907975,
                            0.49018705,
                            -0.49197209,
                            0.33236548,
                            -0.39374301,
                            0.16012701,
                            0.06574871,
                            0.71606487,
                            -0.55201721,
                            -0.46427044};
    migraphx::shape a_shape{migraphx::shape::float_type, {2, 3, 4, 4, 1}};
    auto al = mm->add_literal(migraphx::literal{a_shape, a});

    migraphx::shape c_shape{migraphx::shape::float_type, {2, 3, 3, 3, 1}};
    auto cl = mm->add_literal(migraphx::literal{c_shape, c});

    mm->add_instruction(
        migraphx::make_op("convolution",
                          {{"padding", {0, 0, 0}}, {"stride", {1, 1, 1}}, {"dilation", {1, 1, 1}}}),
        al,
        cl);
1130
    p.compile(migraphx::ref::target{});
1131
    auto result = p.eval({}).back();
Shucai Xiao's avatar
Shucai Xiao committed
1132
1133

    std::vector<float> results_vector(16);
1134
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
Shucai Xiao's avatar
Shucai Xiao committed
1135
    EXPECT(migraphx::verify_range(results_vector, s));
1136
1137
}

Shucai Xiao's avatar
Shucai Xiao committed
1138
TEST_CASE(cos_test)
1139
1140
{
    migraphx::program p;
1141
    auto* mm = p.get_main_module();
1142
    migraphx::shape s{migraphx::shape::float_type, {3}};
1143
1144
    std::vector<float> data{-1, 0, 1};
    auto l = mm->add_literal(migraphx::literal{s, data});
Shucai Xiao's avatar
Shucai Xiao committed
1145
    mm->add_instruction(migraphx::make_op("cos"), l);
1146
    p.compile(migraphx::ref::target{});
1147
    auto result = p.eval({}).back();
1148
1149
    std::vector<float> results_vector(3);
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
1150
1151
1152
    std::vector<float> gold = data;
    std::transform(
        gold.begin(), gold.end(), gold.begin(), [](float n) -> float { return cosf(n); });
1153
1154
1155
    EXPECT(migraphx::verify_range(results_vector, gold));
}

Shucai Xiao's avatar
Shucai Xiao committed
1156
TEST_CASE(cosh_test)
1157
1158
{
    migraphx::program p;
1159
    auto* mm = p.get_main_module();
Shucai Xiao's avatar
Shucai Xiao committed
1160
    migraphx::shape s{migraphx::shape::float_type, {2, 2}};
1161
1162
    std::vector<float> data = {-1.0, 2.0, -3.0, 4.0};
    auto l                  = mm->add_literal(migraphx::literal{s, data});
Shucai Xiao's avatar
Shucai Xiao committed
1163
    mm->add_instruction(migraphx::make_op("cosh"), l);
1164
    p.compile(migraphx::ref::target{});
1165
    auto result = p.eval({}).back();
Shucai Xiao's avatar
Shucai Xiao committed
1166
    std::vector<float> results_vector(4);
1167
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
1168
1169
1170
    std::vector<float> gold = data;
    std::transform(
        gold.begin(), gold.end(), gold.begin(), [](float n) -> float { return coshf(n); });
1171
1172
1173
    EXPECT(migraphx::verify_range(results_vector, gold));
}

Shucai Xiao's avatar
Shucai Xiao committed
1174
TEST_CASE(deconv_1d_test)
1175
{
Shucai Xiao's avatar
Shucai Xiao committed
1176
1177
1178
1179
1180
1181
    migraphx::shape s{migraphx::shape::float_type, {1, 1, 3}};
    std::vector<float> x_data{0, 0.5, 1};
    std::vector<float> w_data{0.5, 0.5, 0.5};

    std::vector<float> gold{0, 0.25, 0.75, 0.75, 0.5};

1182
    migraphx::program p;
1183
    auto* mm = p.get_main_module();
Shucai Xiao's avatar
Shucai Xiao committed
1184
1185
1186
1187
1188
1189
1190
    auto x   = mm->add_literal(migraphx::literal{s, x_data});
    auto w   = mm->add_literal(migraphx::literal{s, w_data});

    mm->add_instruction(
        migraphx::make_op("deconvolution", {{"padding", {0}}, {"stride", {1}}, {"dilation", {1}}}),
        x,
        w);
1191
    p.compile(migraphx::ref::target{});
1192
    auto result = p.eval({}).back();
Shucai Xiao's avatar
Shucai Xiao committed
1193
1194

    std::vector<float> results_vector;
1195
1196
1197
1198
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
    EXPECT(migraphx::verify_range(results_vector, gold));
}

Shucai Xiao's avatar
Shucai Xiao committed
1199
TEST_CASE(deconv_3d_test)
1200
{
Shucai Xiao's avatar
Shucai Xiao committed
1201
1202
1203
1204
1205
1206
1207
1208
1209
1210
1211
1212
1213
1214
1215
1216
1217
1218
1219
1220
1221
1222
1223
1224
1225
1226
1227
1228
1229
    migraphx::shape s_1{migraphx::shape::float_type, {1, 1, 1, 2, 3}};
    migraphx::shape s_2{migraphx::shape::float_type, {1, 1, 3, 2, 3}};
    std::vector<float> x_data{0.8471, -0.4195, -2.2749, 1.2491, 0.1722, 0.3246};
    std::vector<float> w_data{0.6478,
                              -0.1985,
                              0.0633,
                              -0.3479,
                              2.7056,
                              -0.1440,
                              -1.1229,
                              -0.7507,
                              -1.3151,
                              0.8884,
                              -0.1859,
                              -0.3407,
                              -1.1544,
                              -1.5893,
                              1.6265,
                              -1.4624,
                              0.3812,
                              -1.5378};

    std::vector<float> gold{0.5488,  -0.4399, -1.3369, 0.4251,  -0.1439, 0.5145,  2.3015,  -0.2104,
                            -6.1482, 0.3482,  -0.4346, 3.3197,  0.1731,  0.8533,  -0.0467, -0.9512,
                            -0.1649, 1.7553,  2.2594,  2.9917,  -0.6500, -1.6612, -4.3680, 0.0957,
                            0.3482,  1.1097,  -0.0792, -0.1692, -0.1190, -0.1106, -0.9779, -0.8621,
                            4.6707,  2.9332,  -3.7001, -2.6808, -1.2476, 3.2475,  -0.4578, 4.0263,
                            -1.8267, 0.2243,  -2.3299, -0.1411, -0.4991};

1230
    migraphx::program p;
1231
    auto* mm = p.get_main_module();
Shucai Xiao's avatar
Shucai Xiao committed
1232
1233
1234
1235
1236
1237
1238
1239
    auto x   = mm->add_literal(migraphx::literal{s_1, x_data});
    auto w   = mm->add_literal(migraphx::literal{s_2, w_data});

    mm->add_instruction(
        migraphx::make_op("deconvolution",
                          {{"padding", {0, 0, 0}}, {"stride", {1, 1, 1}}, {"dilation", {1, 1, 1}}}),
        x,
        w);
1240
    p.compile(migraphx::ref::target{});
1241
    auto result = p.eval({}).back();
Shucai Xiao's avatar
Shucai Xiao committed
1242
1243

    std::vector<float> results_vector;
1244
1245
1246
1247
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
    EXPECT(migraphx::verify_range(results_vector, gold));
}

Shucai Xiao's avatar
Shucai Xiao committed
1248
TEST_CASE(deconv_test)
1249
{
Shucai Xiao's avatar
Shucai Xiao committed
1250
1251
1252
1253
1254
1255
1256
    migraphx::shape s{migraphx::shape::float_type, {1, 1, 3, 3}};
    std::vector<float> x_data{0, 1, 2, 3, 4, 5, 6, 7, 8};
    std::vector<float> w_data{1, 1, 1, 1, 1, 1, 1, 1, 1};

    std::vector<float> gold{0,  1,  3, 3,  2,  3,  8,  15, 12, 7,  9,  21, 36,
                            27, 15, 9, 20, 33, 24, 13, 6,  13, 21, 15, 8};

1257
    migraphx::program p;
1258
    auto* mm = p.get_main_module();
Shucai Xiao's avatar
Shucai Xiao committed
1259
1260
1261
1262
    auto x   = mm->add_literal(migraphx::literal{s, x_data});
    auto w   = mm->add_literal(migraphx::literal{s, w_data});

    mm->add_instruction(migraphx::make_op("deconvolution"), x, w);
1263
    p.compile(migraphx::ref::target{});
1264
    auto result = p.eval({}).back();
Shucai Xiao's avatar
Shucai Xiao committed
1265
1266

    std::vector<float> results_vector;
1267
1268
1269
1270
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
    EXPECT(migraphx::verify_range(results_vector, gold));
}

turneram's avatar
turneram committed
1271
1272
1273
1274
1275
1276
1277
1278
1279
1280
1281
1282
1283
1284
1285
1286
1287
1288
1289
1290
1291
1292
1293
1294
1295
1296
1297
1298
1299
1300
1301
1302
1303
1304
1305
1306
1307
1308
1309
1310
1311
1312
1313
1314
1315
1316
1317
1318
1319
1320
1321
1322
TEST_CASE(dequantizelinear)
{
    { /*uint8*/
        migraphx::shape xs{migraphx::shape::uint8_type, {1, 3, 3}};
        std::vector<uint8_t> xv = {0, 1, 2, 5, 10, 50, 100, 150, 250};
        migraphx::shape ss{migraphx::shape::float_type, {1, 3, 3}};
        std::vector<float> sv = {2, 2, 2, 2, 2, 2, 2, 2, 2};
        migraphx::shape zs{migraphx::shape::uint8_type, {1, 3, 3}};
        std::vector<uint8_t> zv = {0, 0, 0, 0, 0, 0, 0, 0, 0};
        auto create_program     = [&]() {
            migraphx::program p;
            auto* mm = p.get_main_module();
            auto x   = mm->add_literal(xs, xv);
            auto s   = mm->add_literal(ss, sv);
            auto z   = mm->add_literal(zs, zv);
            mm->add_instruction(migraphx::make_op("dequantizelinear"), x, s, z);
            return p;
        };

        migraphx::program p1 = create_program();
        p1.compile(migraphx::ref::target{});
        auto result = p1.eval({}).back();
        std::vector<float> results_vector(9);
        result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
        std::vector<float> gold{0, 2, 4, 10, 20, 100, 200, 300, 500};
        EXPECT(results_vector == gold);
    }

    { /*int8*/
        migraphx::shape xs{migraphx::shape::int8_type, {1, 3, 3}};
        std::vector<int8_t> xv = {-128, -100, -50, -1, 0, 1, 50, 100, 127};
        migraphx::shape ss{migraphx::shape::float_type, {1, 3, 3}};
        std::vector<float> sv = {2, 2, 2, 2, 2, 2, 2, 2, 2};
        auto create_program   = [&]() {
            migraphx::program p;
            auto* mm = p.get_main_module();
            auto x   = mm->add_literal(xs, xv);
            auto s   = mm->add_literal(ss, sv);
            mm->add_instruction(migraphx::make_op("dequantizelinear"), x, s);
            return p;
        };

        migraphx::program p1 = create_program();
        p1.compile(migraphx::ref::target{});
        auto result = p1.eval({}).back();
        std::vector<float> results_vector(9);
        result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
        std::vector<float> gold{-256, -200, -100, -2, 0, 2, 100, 200, 254};
        EXPECT(results_vector == gold);
    }
}

Shucai Xiao's avatar
Shucai Xiao committed
1323
TEST_CASE(div_test)
1324
1325
{
    migraphx::program p;
1326
    auto* mm = p.get_main_module();
Shucai Xiao's avatar
Shucai Xiao committed
1327
    migraphx::shape s{migraphx::shape::float_type, {3}};
1328
1329
1330
1331
    std::vector<float> data1 = {-1.0f, 0.5f, 1.0f};
    std::vector<float> data2 = {1.0f, 2.0f, 4.0f};
    auto l1                  = mm->add_literal(migraphx::literal{s, data1});
    auto l2                  = mm->add_literal(migraphx::literal{s, data2});
Shucai Xiao's avatar
Shucai Xiao committed
1332
    mm->add_instruction(migraphx::make_op("div"), l1, l2);
1333
    p.compile(migraphx::ref::target{});
1334
    auto result = p.eval({}).back();
1335
1336
    std::vector<float> results_vector(3);
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
1337
1338
    std::vector<float> gold(data1.size());
    std::transform(data1.begin(), data1.end(), data2.begin(), gold.begin(), std::divides<float>());
1339
1340
1341
    EXPECT(migraphx::verify_range(results_vector, gold));
}

1342
1343
1344
1345
1346
1347
1348
1349
1350
1351
1352
1353
1354
1355
1356
1357
1358
1359
1360
1361
1362
TEST_CASE(div_zero_compile_trap_after_no_passes)
{
    migraphx::program p;
    auto* mm  = p.get_main_module();
    auto zero = mm->add_literal(0);
    auto x    = mm->add_parameter("x", {migraphx::shape::int32_type, {1}});
    mm->add_instruction(migraphx::make_op("divzero"), x, zero);

    bool result = false;
    try
    {
        p.compile(migraphx::ref::target{});
    }
    catch(const std::runtime_error& e)
    {
        (void)e;
        result = true;
    }
    EXPECT(result);
}

1363
1364
1365
1366
1367
1368
1369
1370
1371
1372
1373
1374
1375
1376
1377
1378
1379
1380
1381
1382
1383
1384
1385
1386
1387
1388
TEST_CASE(div_zero_compile_trap_long_program_no_passes)
{
    migraphx::program p;
    auto* mm  = p.get_main_module();
    auto zero = mm->add_literal(0);
    auto one  = mm->add_literal(1);
    auto x    = mm->add_parameter("x", {migraphx::shape::int32_type, {1}});
    auto y    = mm->add_parameter("y", {migraphx::shape::int32_type, {1}});
    auto div0 = mm->add_instruction(migraphx::make_op("divzero"), x, zero);
    auto mul  = mm->add_instruction(migraphx::make_op("mul"), one, div0);
    auto add  = mm->add_instruction(migraphx::make_op("add"), y, mul);
    mm->add_instruction(migraphx::make_op("sub"), y, add);

    bool result = false;
    try
    {
        p.compile(migraphx::ref::target{});
    }
    catch(const std::runtime_error& e)
    {
        (void)e;
        result = true;
    }
    EXPECT(result);
}

1389
1390
1391
1392
1393
1394
1395
1396
1397
1398
1399
1400
1401
1402
1403
1404
1405
1406
1407
1408
1409
1410
TEST_CASE(div_zero_compile_trap_after_passes)
{
    migraphx::program p;
    auto* mm  = p.get_main_module();
    auto zero = mm->add_literal(0);
    auto x    = mm->add_parameter("x", {migraphx::shape::int32_type, {1}});
    mm->add_instruction(migraphx::make_op("div"), x, zero);
    run_pass(*mm);

    bool result = false;
    try
    {
        p.compile(migraphx::ref::target{});
    }
    catch(const std::runtime_error& e)
    {
        (void)e;
        result = true;
    }
    EXPECT(result);
}

1411
1412
1413
1414
1415
1416
1417
1418
1419
1420
1421
1422
1423
1424
1425
1426
1427
1428
1429
1430
1431
1432
1433
1434
1435
1436
1437
1438
TEST_CASE(div_zero_compile_trap_long_program_after_passes)
{
    migraphx::program p;
    auto* mm  = p.get_main_module();
    auto zero = mm->add_literal(0);
    auto two  = mm->add_literal(2);
    auto x    = mm->add_parameter("x", {migraphx::shape::int32_type, {1}});
    auto y    = mm->add_parameter("y", {migraphx::shape::int32_type, {1}});
    auto div0 = mm->add_instruction(migraphx::make_op("div"), x, zero);
    auto mul  = mm->add_instruction(migraphx::make_op("mul"), two, div0);
    auto add  = mm->add_instruction(migraphx::make_op("add"), y, mul);
    mm->add_instruction(migraphx::make_op("sub"), y, add);

    run_pass(*mm);

    bool result = false;
    try
    {
        p.compile(migraphx::ref::target{});
    }
    catch(const std::runtime_error& e)
    {
        (void)e;
        result = true;
    }
    EXPECT(result);
}

Shucai Xiao's avatar
Shucai Xiao committed
1439
TEST_CASE(elu_test)
1440
{
Paul's avatar
Paul committed
1441
    migraphx::program p;
1442
    auto* mm = p.get_main_module();
Shucai Xiao's avatar
Shucai Xiao committed
1443
1444
1445
1446
    migraphx::shape s{migraphx::shape::float_type, {2, 2}};
    auto l      = mm->add_literal(migraphx::literal{s, {-1.0, 2.0, -3.0, 4.0}});
    float alpha = 0.5;
    mm->add_instruction(migraphx::make_op("elu", {{"alpha", alpha}}), l);
1447
    p.compile(migraphx::ref::target{});
1448
    auto result = p.eval({}).back();
Shucai Xiao's avatar
Shucai Xiao committed
1449
    std::vector<float> results_vector(4);
1450
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
Shucai Xiao's avatar
Shucai Xiao committed
1451
    std::vector<float> gold{elu(alpha, -1), elu(alpha, 2), elu(alpha, -3), elu(alpha, 4)};
Paul's avatar
Paul committed
1452
    EXPECT(migraphx::verify_range(results_vector, gold));
1453
1454
}

Shucai Xiao's avatar
Shucai Xiao committed
1455
TEST_CASE(equal_brcst_test)
1456
{
Paul's avatar
Paul committed
1457
    migraphx::program p;
1458
    auto* mm = p.get_main_module();
Shucai Xiao's avatar
Shucai Xiao committed
1459
1460
1461
1462
    migraphx::shape s0{migraphx::shape::float_type, {3, 3}};
    auto l0 =
        mm->add_literal(migraphx::literal{s0, {1.1, 1.5, 0.1, -1.1, -1.5, -0.6, 0.0, 2.0, -2.0}});
    migraphx::shape s1{migraphx::shape::float_type, {3, 1}};
1463
1464
1465
1466
    auto l1  = mm->add_literal(migraphx::literal{s1, {1.1, -1.5, 0.0}});
    auto bl1 = mm->add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", {3, 3}}}), l1);
    auto eq  = mm->add_instruction(migraphx::make_op("equal"), l0, bl1);
    auto r   = mm->add_instruction(
Shucai Xiao's avatar
Shucai Xiao committed
1467
1468
1469
1470
        migraphx::make_op("convert",
                          {{"target_type", migraphx::to_value(migraphx::shape::bool_type)}}),
        eq);
    mm->add_return({r});
1471

1472
    p.compile(migraphx::ref::target{});
1473
    auto result = p.eval({}).back();
Shucai Xiao's avatar
Shucai Xiao committed
1474
    std::vector<bool> results_vector;
1475
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
Shucai Xiao's avatar
Shucai Xiao committed
1476
1477
    std::vector<bool> gold = {true, false, false, false, true, false, true, false, false};
    EXPECT(results_vector == gold);
1478
1479
}

Shucai Xiao's avatar
Shucai Xiao committed
1480
TEST_CASE(equal_test)
1481
{
Paul's avatar
Paul committed
1482
    migraphx::program p;
1483
    auto* mm = p.get_main_module();
Shucai Xiao's avatar
Shucai Xiao committed
1484
1485
1486
1487
1488
1489
1490
1491
1492
1493
1494
1495
    migraphx::shape s{migraphx::shape::float_type, {9}};
    auto l0 =
        mm->add_literal(migraphx::literal{s, {1.1, 1.5, 0.1, -1.1, -1.5, -0.6, 0.0, 2.0, -2.0}});
    auto l1 =
        mm->add_literal(migraphx::literal{s, {1.1, 1.6, -0.1, -1.2, -1.5, -0.7, 0.0, 2.3, -2.1}});
    auto eq = mm->add_instruction(migraphx::make_op("equal"), l0, l1);
    auto r  = mm->add_instruction(
        migraphx::make_op("convert",
                          {{"target_type", migraphx::to_value(migraphx::shape::bool_type)}}),
        eq);
    mm->add_return({r});

1496
    p.compile(migraphx::ref::target{});
1497
    auto result = p.eval({}).back();
Shucai Xiao's avatar
Shucai Xiao committed
1498
    std::vector<bool> results_vector;
1499
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
Shucai Xiao's avatar
Shucai Xiao committed
1500
1501
    std::vector<bool> gold = {true, false, false, false, true, false, true, false, false};
    EXPECT(results_vector == gold);
1502
1503
}

Shucai Xiao's avatar
Shucai Xiao committed
1504
TEST_CASE(erf_test)
1505
{
Paul's avatar
Paul committed
1506
    migraphx::program p;
1507
    auto* mm = p.get_main_module();
Shucai Xiao's avatar
Shucai Xiao committed
1508
    migraphx::shape s{migraphx::shape::float_type, {4}};
1509
1510
    std::vector<float> data = {0.73785057, 1.58165966, -0.43597795, -0.01677432};
    auto l                  = mm->add_literal(migraphx::literal{s, data});
Shucai Xiao's avatar
Shucai Xiao committed
1511
    mm->add_instruction(migraphx::make_op("erf"), l);
1512
    p.compile(migraphx::ref::target{});
1513
    auto result = p.eval({}).back();
Shucai Xiao's avatar
Shucai Xiao committed
1514
    std::vector<float> results_vector;
1515
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
1516
1517
1518
    std::vector<float> gold = data;
    std::transform(
        gold.begin(), gold.end(), gold.begin(), [](float n) -> float { return erff(n); });
Paul's avatar
Paul committed
1519
    EXPECT(migraphx::verify_range(results_vector, gold));
1520
1521
}

Shucai Xiao's avatar
Shucai Xiao committed
1522
TEST_CASE(exp_test)
Khalique's avatar
Khalique committed
1523
{
Paul's avatar
Paul committed
1524
    migraphx::program p;
1525
    auto* mm = p.get_main_module();
1526
    std::vector<float> data{-1, 0, 1};
Paul's avatar
Paul committed
1527
    migraphx::shape s{migraphx::shape::float_type, {3}};
1528
    auto l = mm->add_literal(migraphx::literal{s, data});
Shucai Xiao's avatar
Shucai Xiao committed
1529
    mm->add_instruction(migraphx::make_op("exp"), l);
1530
    p.compile(migraphx::ref::target{});
1531
    auto result = p.eval({}).back();
Khalique's avatar
Khalique committed
1532
1533
    std::vector<float> results_vector(3);
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
1534
1535
1536
    std::vector<float> gold = data;
    std::transform(
        gold.begin(), gold.end(), gold.begin(), [](float n) -> float { return expf(n); });
Paul's avatar
Paul committed
1537
    EXPECT(migraphx::verify_range(results_vector, gold));
Khalique's avatar
Khalique committed
1538
1539
}

Shucai Xiao's avatar
Shucai Xiao committed
1540
TEST_CASE(floor_test)
Khalique's avatar
Khalique committed
1541
{
Paul's avatar
Paul committed
1542
    migraphx::program p;
1543
    auto* mm = p.get_main_module();
Shucai Xiao's avatar
Shucai Xiao committed
1544
    migraphx::shape s{migraphx::shape::float_type, {9}};
1545
1546
    std::vector<float> data = {1.1, 1.5, 0.6, -1.1, -1.5, -0.6, 0.0, 2.0, -2.0};
    auto l                  = mm->add_literal(migraphx::literal{s, data});
Shucai Xiao's avatar
Shucai Xiao committed
1547
    mm->add_instruction(migraphx::make_op("floor"), l);
1548
    p.compile(migraphx::ref::target{});
1549
    auto result = p.eval({}).back();
Shucai Xiao's avatar
Shucai Xiao committed
1550
    std::vector<float> results_vector;
Khalique's avatar
Khalique committed
1551
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
1552
1553
1554
    std::vector<float> gold = data;
    std::transform(
        gold.begin(), gold.end(), gold.begin(), [](float n) -> float { return floor(n); });
Paul's avatar
Paul committed
1555
    EXPECT(migraphx::verify_range(results_vector, gold));
Khalique's avatar
Khalique committed
1556
1557
}

Shucai Xiao's avatar
Shucai Xiao committed
1558
TEST_CASE(fp16_test)
Khalique's avatar
Khalique committed
1559
{
Khalique's avatar
Khalique committed
1560
    migraphx::program p;
1561
    auto* mm = p.get_main_module();
Shucai Xiao's avatar
Shucai Xiao committed
1562
1563
1564
1565
1566
1567
1568
    migraphx::shape s{migraphx::shape::half_type, {1}};
    migraphx::half a{1.5};
    migraphx::half b{2.5};
    migraphx::half c{4.0};
    auto l0 = mm->add_literal(migraphx::literal{s, {a}});
    auto l1 = mm->add_literal(migraphx::literal{s, {b}});
    mm->add_instruction(migraphx::make_op("add"), l0, l1);
1569
    p.compile(migraphx::ref::target{});
1570
    auto result = p.eval({}).back();
Shucai Xiao's avatar
Shucai Xiao committed
1571
    std::vector<migraphx::half> results_vector(1);
Khalique's avatar
Khalique committed
1572
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
Shucai Xiao's avatar
Shucai Xiao committed
1573
    std::vector<migraphx::half> gold{c};
Khalique's avatar
Khalique committed
1574
    EXPECT(migraphx::verify_range(results_vector, gold));
Khalique's avatar
Khalique committed
1575
1576
}

Shucai Xiao's avatar
Shucai Xiao committed
1577
TEST_CASE(fp32_fp16_test)
Khalique's avatar
Khalique committed
1578
{
Shucai Xiao's avatar
Shucai Xiao committed
1579
1580
1581
1582
1583
1584
1585
1586
1587
1588
1589
    auto create_program = [] {
        migraphx::program p;
        auto* mm = p.get_main_module();
        migraphx::shape s{migraphx::shape::float_type, {2, 3}};
        std::vector<float> data(2 * 3);
        std::iota(data.begin(), data.end(), 1.0f);
        auto l1 = mm->add_literal(migraphx::literal(s, data));
        auto l2 = mm->add_literal(migraphx::literal(s, data));
        mm->add_instruction(migraphx::make_op("add"), l1, l2);
        return p;
    };
Khalique's avatar
Khalique committed
1590

Shucai Xiao's avatar
Shucai Xiao committed
1591
1592
1593
1594
1595
1596
1597
1598
1599
1600
    auto test_case = [&](std::vector<std::string>&& op_names) {
        std::vector<float> gold_res = {2.0, 4.0, 6.0, 8.0, 10.0, 12.0};
        auto p                      = create_program();
        migraphx::quantize_fp16(p, op_names);
        p.compile(migraphx::ref::target{});
        auto result = p.eval({}).back();
        std::vector<float> res;
        result.visit([&](auto output) { res.assign(output.begin(), output.end()); });
        EXPECT(migraphx::verify_range(res, gold_res));
    };
Khalique's avatar
Khalique committed
1601

Shucai Xiao's avatar
Shucai Xiao committed
1602
1603
    test_case({"all"});
    test_case({"add"});
Khalique's avatar
Khalique committed
1604
1605
}

1606
1607
1608
1609
1610
1611
1612
1613
1614
1615
1616
1617
1618
1619
1620
1621
1622
1623
1624
1625
1626
1627
1628
1629
1630
1631
TEST_CASE(gather_non_std_test)
{
    {
        migraphx::program p;
        auto* mm = p.get_main_module();

        std::vector<float> data = {0.5f, 3.5f, 6.5f, 1.5f, 4.5f, 7.5f, 2.5f, 2.5f, 8.5f};
        migraphx::shape s{migraphx::shape::float_type, {3, 3}};
        auto d = mm->add_literal(migraphx::literal{s, data});
        migraphx::shape s_indices{migraphx::shape::int32_type, {2, 2}};
        std::vector<int> indices{-3, -3, -1, -1};
        auto ind = mm->add_literal(migraphx::literal{s_indices, indices});
        auto td = mm->add_instruction(migraphx::make_op("transpose", {{"permutation", {1, 0}}}), d);
        auto tind =
            mm->add_instruction(migraphx::make_op("transpose", {{"permutation", {1, 0}}}), ind);

        mm->add_instruction(migraphx::make_op("gather", {{"axis", 0}}), td, tind);
        auto result               = p.eval({}).back();
        std::vector<float> golden = {
            0.5f, 1.5f, 2.5f, 6.5f, 7.5f, 8.5f, 0.5f, 1.5f, 2.5f, 6.5f, 7.5f, 8.5f};
        std::vector<float> res_data;
        result.visit([&](auto output) { res_data.assign(output.begin(), output.end()); });
        EXPECT(migraphx::verify_range(res_data, golden));
    }
}

Shucai Xiao's avatar
Shucai Xiao committed
1632
TEST_CASE(gather_test)
1633
{
1634
    {
Paul's avatar
Paul committed
1635
        migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
1636
1637
1638
1639
1640
1641
1642
1643
1644
1645
1646
        auto* mm = p.get_main_module();

        std::vector<float> data(3 * 3);
        std::iota(data.begin(), data.end(), 0.5);
        migraphx::shape s{migraphx::shape::float_type, {3, 3}};
        auto a0 = mm->add_literal(migraphx::literal{s, data});
        migraphx::shape s_indices{migraphx::shape::int32_type, {1, 2}};
        std::vector<int> indices{0, 2};
        auto a1  = mm->add_literal(migraphx::literal{s_indices, indices});
        int axis = 0;
        mm->add_instruction(migraphx::make_op("gather", {{"axis", axis}}), a0, a1);
1647
        p.compile(migraphx::ref::target{});
1648
        auto result = p.eval({}).back();
Shucai Xiao's avatar
Shucai Xiao committed
1649
1650
1651
1652
        std::vector<float> res_data(4 * 5);
        std::vector<float> golden = {0.5f, 1.5f, 2.5f, 6.5f, 7.5f, 8.5f};
        result.visit([&](auto output) { res_data.assign(output.begin(), output.end()); });
        EXPECT(migraphx::verify_range(res_data, golden));
1653
    }
Shucai Xiao's avatar
Shucai Xiao committed
1654

1655
    {
Paul's avatar
Paul committed
1656
        migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
1657
1658
1659
1660
1661
1662
1663
1664
1665
1666
1667
        auto* mm = p.get_main_module();

        std::vector<float> data(3 * 3);
        std::iota(data.begin(), data.end(), 0.5);
        migraphx::shape s{migraphx::shape::float_type, {3, 3}};
        auto a0 = mm->add_literal(migraphx::literal{s, data});
        migraphx::shape s_indices{migraphx::shape::int32_type, {1, 2}};
        std::vector<int> indices{-3, -1};
        auto a1  = mm->add_literal(migraphx::literal{s_indices, indices});
        int axis = 0;
        mm->add_instruction(migraphx::make_op("gather", {{"axis", axis}}), a0, a1);
1668
        p.compile(migraphx::ref::target{});
1669
        auto result = p.eval({}).back();
Shucai Xiao's avatar
Shucai Xiao committed
1670
1671
1672
1673
1674
1675
1676
1677
1678
1679
1680
1681
1682
1683
1684
1685
1686
1687
1688
1689
1690
1691
1692
1693
1694
1695
1696
1697
1698
1699
1700
1701
1702
1703
1704
1705
1706
1707
1708
1709
1710
1711
1712
1713
1714
1715
1716
1717
1718
1719
1720
1721
1722
1723
1724
1725
1726
1727
1728
1729
1730
1731
1732
1733
1734
1735
1736
1737
1738
1739
1740
1741
1742
1743
1744
1745
1746
1747
1748
1749
1750
1751
1752
1753
1754
1755
1756
1757
1758
1759
        std::vector<float> res_data(4 * 5);
        std::vector<float> golden = {0.5f, 1.5f, 2.5f, 6.5f, 7.5f, 8.5f};
        result.visit([&](auto output) { res_data.assign(output.begin(), output.end()); });
        EXPECT(migraphx::verify_range(res_data, golden));
    }

    {
        migraphx::program p;
        auto* mm = p.get_main_module();

        std::vector<float> data(3 * 3);
        std::iota(data.begin(), data.end(), 0.5);
        migraphx::shape s{migraphx::shape::float_type, {3, 3}};
        auto a0 = mm->add_literal(migraphx::literal{s, data});
        migraphx::shape s_indices{migraphx::shape::int32_type, {1, 2}};
        std::vector<int> indices{0, 2};
        auto a1  = mm->add_literal(migraphx::literal{s_indices, indices});
        int axis = 1;
        mm->add_instruction(migraphx::make_op("gather", {{"axis", axis}}), a0, a1);
        p.compile(migraphx::ref::target{});
        auto result = p.eval({}).back();
        std::vector<float> res_data(4 * 5);
        std::vector<float> golden = {0.5f, 2.5f, 3.5f, 5.5f, 6.5f, 8.5f};
        result.visit([&](auto output) { res_data.assign(output.begin(), output.end()); });
        EXPECT(migraphx::verify_range(res_data, golden));
    }

    {
        migraphx::program p;
        auto* mm = p.get_main_module();

        std::vector<float> data(3 * 3);
        std::iota(data.begin(), data.end(), 0.5);
        migraphx::shape s{migraphx::shape::float_type, {3, 3}};
        auto a0 = mm->add_literal(migraphx::literal{s, data});
        migraphx::shape s_indices{migraphx::shape::int32_type, {1, 2}};
        std::vector<int> indices{0, 2};
        auto a1  = mm->add_literal(migraphx::literal{s_indices, indices});
        int axis = -1;
        mm->add_instruction(migraphx::make_op("gather", {{"axis", axis}}), a0, a1);
        p.compile(migraphx::ref::target{});
        auto result = p.eval({}).back();
        std::vector<float> res_data(4 * 5);
        std::vector<float> golden = {0.5f, 2.5f, 3.5f, 5.5f, 6.5f, 8.5f};
        result.visit([&](auto output) { res_data.assign(output.begin(), output.end()); });
        EXPECT(migraphx::verify_range(res_data, golden));
    }

    {
        migraphx::program p;
        auto* mm = p.get_main_module();

        std::vector<float> data(3 * 3);
        std::iota(data.begin(), data.end(), 0.5);
        migraphx::shape s{migraphx::shape::float_type, {3, 3}};
        auto a0 = mm->add_literal(migraphx::literal{s, data});
        // scalar index
        migraphx::shape s_indices{migraphx::shape::int32_type};
        std::vector<int> indices{0};
        auto a1  = mm->add_literal(migraphx::literal{s_indices, indices});
        int axis = -1;
        mm->add_instruction(migraphx::make_op("gather", {{"axis", axis}}), a0, a1);
        p.compile(migraphx::ref::target{});
        auto result = p.eval({}).back();
        std::vector<float> res_data{};
        std::vector<float> golden = {0.5f, 3.5f, 6.5f};
        result.visit([&](auto output) { res_data.assign(output.begin(), output.end()); });
        EXPECT(migraphx::verify_range(res_data, golden));
    }

    {
        migraphx::program p;
        auto* mm = p.get_main_module();

        std::vector<float> data(3 * 3);
        std::iota(data.begin(), data.end(), 0.5);
        migraphx::shape s{migraphx::shape::float_type, {3, 3}};
        auto a0 = mm->add_literal(migraphx::literal{s, data});
        // scalar index
        migraphx::shape s_indices{migraphx::shape::int32_type};
        std::vector<int> indices{-3};
        auto a1  = mm->add_literal(migraphx::literal{s_indices, indices});
        int axis = -1;
        mm->add_instruction(migraphx::make_op("gather", {{"axis", axis}}), a0, a1);
        p.compile(migraphx::ref::target{});
        auto result = p.eval({}).back();
        std::vector<float> res_data{};
        std::vector<float> golden = {0.5f, 3.5f, 6.5f};
        result.visit([&](auto output) { res_data.assign(output.begin(), output.end()); });
        EXPECT(migraphx::verify_range(res_data, golden));
1760
    }
Shucai Xiao's avatar
Shucai Xiao committed
1761

1762
    {
Paul's avatar
Paul committed
1763
        migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
1764
1765
1766
1767
1768
1769
1770
1771
1772
1773
1774
1775
        auto* mm = p.get_main_module();

        std::vector<float> data(3);
        std::iota(data.begin(), data.end(), 0.5);
        migraphx::shape s{migraphx::shape::float_type, {3}};
        auto a0 = mm->add_literal(migraphx::literal{s, data});
        // scalar index
        migraphx::shape s_indices{migraphx::shape::int32_type};
        std::vector<int> indices{0};
        auto a1  = mm->add_literal(migraphx::literal{s_indices, indices});
        int axis = -1;
        mm->add_instruction(migraphx::make_op("gather", {{"axis", axis}}), a0, a1);
1776
        p.compile(migraphx::ref::target{});
1777
        auto result = p.eval({}).back();
Shucai Xiao's avatar
Shucai Xiao committed
1778
1779
1780
1781
        std::vector<float> res_data{};
        std::vector<float> golden = {0.5f};
        result.visit([&](auto output) { res_data.assign(output.begin(), output.end()); });
        EXPECT(migraphx::verify_range(res_data, golden));
1782
1783
1784
    }
}

turneram's avatar
turneram committed
1785
1786
1787
1788
1789
1790
1791
1792
1793
1794
1795
1796
1797
1798
1799
1800
1801
1802
1803
1804
1805
1806
1807
1808
1809
1810
1811
1812
1813
1814
1815
1816
1817
1818
1819
1820
1821
1822
1823
1824
1825
1826
1827
1828
1829
1830
1831
1832
1833
1834
1835
1836
1837
1838
1839
1840
1841
1842
1843
1844
1845
1846
1847
1848
1849
1850
1851
1852
1853
1854
1855
1856
1857
1858
1859
1860
1861
1862
1863
1864
1865
1866
1867
1868
1869
1870
1871
1872
1873
1874
1875
1876
1877
1878
1879
1880
1881
1882
1883
1884
1885
1886
1887
1888
1889
1890
1891
1892
1893
1894
1895
1896
1897
1898
1899
1900
1901
1902
1903
1904
1905
1906
1907
1908
1909
1910
1911
1912
1913
1914
1915
1916
1917
1918
1919
1920
1921
1922
1923
1924
1925
1926
1927
1928
1929
1930
1931
1932
1933
1934
1935
1936
1937
1938
1939
1940
1941
1942
1943
1944
1945
1946
1947
1948
1949
1950
1951
1952
1953
1954
1955
1956
1957
1958
1959
1960
1961
1962
1963
1964
1965
1966
1967
1968
1969
1970
1971
1972
1973
1974
1975
1976
1977
1978
1979
1980
1981
TEST_CASE(gathernd_test)
{
    {
        migraphx::program p;
        auto* mm = p.get_main_module();

        migraphx::shape ds{migraphx::shape::float_type, {2, 2}};
        migraphx::shape is{migraphx::shape::int64_type, {2, 2}};

        std::vector<float> data_vec(2 * 2);
        std::iota(data_vec.begin(), data_vec.end(), 0);
        std::vector<int64_t> indices_vec{0, 0, 1, 1};

        auto data    = mm->add_literal(migraphx::literal{ds, data_vec});
        auto indices = mm->add_literal(migraphx::literal{is, indices_vec});

        mm->add_instruction(migraphx::make_op("gathernd"), data, indices);
        p.compile(migraphx::ref::target{});
        auto result = p.eval({}).back();
        std::vector<float> res_data{};
        std::vector<float> gold{0, 3};
        result.visit([&](auto output) { res_data.assign(output.begin(), output.end()); });

        EXPECT(migraphx::verify_range(res_data, gold));
    }

    {
        migraphx::program p;
        auto* mm = p.get_main_module();

        migraphx::shape ds{migraphx::shape::float_type, {2, 2}};
        migraphx::shape is{migraphx::shape::int64_type, {2, 1}};

        std::vector<float> data_vec(2 * 2);
        std::iota(data_vec.begin(), data_vec.end(), 0);
        std::vector<int64_t> indices_vec{1, 0};

        auto data    = mm->add_literal(migraphx::literal{ds, data_vec});
        auto indices = mm->add_literal(migraphx::literal{is, indices_vec});

        mm->add_instruction(migraphx::make_op("gathernd"), data, indices);
        p.compile(migraphx::ref::target{});
        auto result = p.eval({}).back();
        std::vector<float> res_data{};
        std::vector<float> gold{2, 3, 0, 1};
        result.visit([&](auto output) { res_data.assign(output.begin(), output.end()); });

        EXPECT(migraphx::verify_range(res_data, gold));
    }

    {
        migraphx::program p;
        auto* mm = p.get_main_module();

        migraphx::shape ds{migraphx::shape::float_type, {2, 3, 1}};
        migraphx::shape is{migraphx::shape::int64_type, {2, 2, 1}};

        std::vector<float> data_vec(2 * 3 * 1);
        std::iota(data_vec.begin(), data_vec.end(), 0);
        std::vector<int64_t> indices_vec{1, 0, 0, 1};

        auto data    = mm->add_literal(migraphx::literal{ds, data_vec});
        auto indices = mm->add_literal(migraphx::literal{is, indices_vec});

        mm->add_instruction(migraphx::make_op("gathernd"), data, indices);
        p.compile(migraphx::ref::target{});
        auto result = p.eval({}).back();
        std::vector<float> res_data{};
        std::vector<float> gold{3, 4, 5, 0, 1, 2, 0, 1, 2, 3, 4, 5};
        result.visit([&](auto output) { res_data.assign(output.begin(), output.end()); });

        EXPECT(migraphx::verify_range(res_data, gold));
    }

    {
        migraphx::program p;
        auto* mm = p.get_main_module();

        migraphx::shape ds{migraphx::shape::float_type, {2, 3, 2, 3}};
        migraphx::shape is{migraphx::shape::int64_type, {2, 2, 2}};

        std::vector<float> data_vec(2 * 3 * 2 * 3);
        std::iota(data_vec.begin(), data_vec.end(), 0);
        std::vector<int64_t> indices_vec{0, 0, 0, 1, 0, 0, 0, 1};
        const int batch_dims = 1;

        auto data    = mm->add_literal(migraphx::literal{ds, data_vec});
        auto indices = mm->add_literal(migraphx::literal{is, indices_vec});

        mm->add_instruction(
            migraphx::make_op("gathernd", {{"batch_dims", batch_dims}}), data, indices);
        p.compile(migraphx::ref::target{});
        auto result = p.eval({}).back();
        std::vector<float> res_data{};
        std::vector<float> gold{0, 1, 2, 3, 4, 5, 18, 19, 20, 21, 22, 23};
        result.visit([&](auto output) { res_data.assign(output.begin(), output.end()); });

        EXPECT(migraphx::verify_range(res_data, gold));
    }

    {
        migraphx::program p;
        auto* mm = p.get_main_module();

        migraphx::shape ds{migraphx::shape::float_type, {2, 3, 1, 3}};
        migraphx::shape is{migraphx::shape::int64_type, {2, 3, 2}};

        std::vector<float> data_vec(2 * 3 * 1 * 3);
        std::iota(data_vec.begin(), data_vec.end(), 0);
        std::vector<int64_t> indices_vec{0, 0, 0, 1, 0, 2, 0, 2, 0, 1, 0, 0};
        const int batch_dims = 2;

        auto data    = mm->add_literal(migraphx::literal{ds, data_vec});
        auto indices = mm->add_literal(migraphx::literal{is, indices_vec});

        mm->add_instruction(
            migraphx::make_op("gathernd", {{"batch_dims", batch_dims}}), data, indices);

        p.compile(migraphx::ref::target{});
        auto result = p.eval({}).back();
        std::vector<float> res_data{};
        std::vector<float> gold{0, 4, 8, 11, 13, 15};
        result.visit([&](auto output) { res_data.assign(output.begin(), output.end()); });

        EXPECT(migraphx::verify_range(res_data, gold));
    }

    {
        // k > r - batch_dims
        migraphx::program p;
        auto* mm = p.get_main_module();

        migraphx::shape ds{migraphx::shape::float_type, {2, 3, 1, 3}};
        migraphx::shape is{migraphx::shape::int64_type, {2, 3, 3}};

        std::vector<float> data_vec(2 * 3 * 1 * 3);
        std::iota(data_vec.begin(), data_vec.end(), 0);
        std::vector<int64_t> indices_vec(2 * 3 * 3, 0);
        const int batch_dims = 2;

        auto data    = mm->add_literal(migraphx::literal{ds, data_vec});
        auto indices = mm->add_literal(migraphx::literal{is, indices_vec});

        EXPECT(test::throws([&] {
            mm->add_instruction(
                migraphx::make_op("gathernd", {{"batch_dims", batch_dims}}), data, indices);
        }));
    }
}

TEST_CASE(gathernd_negative_index_test)
{
    {
        migraphx::program p;
        auto* mm = p.get_main_module();

        migraphx::shape ds{migraphx::shape::float_type, {2, 2}};
        migraphx::shape is{migraphx::shape::int64_type, {2, 1, 1}};

        std::vector<float> data_vec(2 * 2);
        std::iota(data_vec.begin(), data_vec.end(), 0);
        std::vector<int64_t> indices_vec{-1, 0};

        auto data    = mm->add_literal(migraphx::literal{ds, data_vec});
        auto indices = mm->add_literal(migraphx::literal{is, indices_vec});

        mm->add_instruction(migraphx::make_op("gathernd"), data, indices);
        p.compile(migraphx::ref::target{});
        auto result = p.eval({}).back();
        std::vector<float> res_data{};
        std::vector<float> gold{2, 3, 0, 1};
        result.visit([&](auto output) { res_data.assign(output.begin(), output.end()); });

        EXPECT(migraphx::verify_range(res_data, gold));
    }

    {
        migraphx::program p;
        auto* mm = p.get_main_module();

        migraphx::shape ds{migraphx::shape::float_type, {2, 2}};
        migraphx::shape is{migraphx::shape::int64_type, {2, 1, 1}};

        std::vector<float> data_vec(2 * 2);
        std::iota(data_vec.begin(), data_vec.end(), 0);
        std::vector<int64_t> indices_vec{-3, 0};

        auto data    = mm->add_literal(migraphx::literal{ds, data_vec});
        auto indices = mm->add_literal(migraphx::literal{is, indices_vec});

        mm->add_instruction(migraphx::make_op("gathernd"), data, indices);
        p.compile(migraphx::ref::target{});

        EXPECT(test::throws([&] { p.eval({}); }));
    }
}

Shucai Xiao's avatar
Shucai Xiao committed
1982
TEST_CASE(globalavgpool_test)
1983
{
Paul's avatar
Paul committed
1984
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
1985
1986
    auto* mm   = p.get_main_module();
    auto s     = migraphx::shape{migraphx::shape::float_type, {1, 3, 2, 2}};
1987
    auto op    = migraphx::op::pooling{migraphx::op::pooling_mode::average};
Shucai Xiao's avatar
Shucai Xiao committed
1988
1989
    auto lens  = s.lens();
    op.lengths = {lens[2], lens[3]};
1990

Shucai Xiao's avatar
Shucai Xiao committed
1991
1992
1993
    std::vector<float> data{0.3, 0.2, 0.4, 0.1, 0.8, 0.5, 0.9, 0.1, 0.1, 0.7, 0.1, 0.6};
    auto l0 = mm->add_literal(migraphx::literal{s, data});
    mm->add_instruction(op, l0);
1994
    p.compile(migraphx::ref::target{});
1995
    auto result = p.eval({}).back();
1996

Shucai Xiao's avatar
Shucai Xiao committed
1997
    std::vector<float> results_vector(3);
1998
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
Shucai Xiao's avatar
Shucai Xiao committed
1999
2000
    std::vector<float> gold{0.25, 0.575, 0.375};
    EXPECT(migraphx::verify_range(results_vector, gold));
Scott Thornton's avatar
Scott Thornton committed
2001
2002
}

2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
2018
2019
2020
2021
2022
2023
2024
TEST_CASE(globallppool_test)
{
    migraphx::program p;
    auto* mm    = p.get_main_module();
    auto s      = migraphx::shape{migraphx::shape::float_type, {1, 3, 2, 2}};
    auto op     = migraphx::op::pooling{migraphx::op::pooling_mode::lpnorm};
    auto lens   = s.lens();
    op.lengths  = {lens[2], lens[3]};
    op.lp_order = 2;

    std::vector<float> data{0.3, 0.2, 0.4, 0.1, 0.8, 0.5, 0.9, 0.1, 0.1, 0.7, 0.1, 0.6};
    auto l0 = mm->add_literal(migraphx::literal{s, data});
    mm->add_instruction(op, l0);
    p.compile(migraphx::ref::target{});
    auto result = p.eval({}).back();

    std::vector<float> results_vector(3);
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
    std::vector<float> gold{0.5477225575051662, 1.307669683062202, 0.9327379053088815};
    EXPECT(migraphx::verify_range(results_vector, gold));
}

Shucai Xiao's avatar
Shucai Xiao committed
2025
TEST_CASE(globalmaxpool_test)
2026
2027
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
2028
2029
    auto* mm   = p.get_main_module();
    auto s     = migraphx::shape{migraphx::shape::float_type, {1, 3, 2, 2}};
2030
    auto op    = migraphx::op::pooling{migraphx::op::pooling_mode::max};
Shucai Xiao's avatar
Shucai Xiao committed
2031
2032
    auto lens  = s.lens();
    op.lengths = {lens[2], lens[3]};
2033

Shucai Xiao's avatar
Shucai Xiao committed
2034
2035
2036
    std::vector<float> data{0.3, 0.2, 0.4, 0.1, 0.8, 0.5, 0.9, 0.1, 0.1, 0.7, 0.1, 0.6};
    auto l0 = mm->add_literal(migraphx::literal{s, data});
    mm->add_instruction(op, l0);
2037
    p.compile(migraphx::ref::target{});
2038
    auto result = p.eval({}).back();
2039

Shucai Xiao's avatar
Shucai Xiao committed
2040
    std::vector<float> results_vector(3);
2041
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
Shucai Xiao's avatar
Shucai Xiao committed
2042
2043
2044
2045
2046
2047
2048
2049
2050
2051
2052
2053
    std::vector<float> gold{0.4, 0.9, 0.7};
    EXPECT(migraphx::verify_range(results_vector, gold));
}

TEST_CASE(greater_brcst_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    migraphx::shape s0{migraphx::shape::float_type, {3, 3}};
    auto l0 =
        mm->add_literal(migraphx::literal{s0, {1.1, 1.5, 0.1, -1.1, -1.5, -0.6, 0.0, 2.0, -2.0}});
    migraphx::shape s1{migraphx::shape::float_type, {3, 1}};
2054
2055
2056
2057
    auto l1  = mm->add_literal(migraphx::literal{s1, {1.1, -1.5, 0.0}});
    auto bl1 = mm->add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", {3, 3}}}), l1);
    auto gr  = mm->add_instruction(migraphx::make_op("greater"), l0, bl1);
    auto r   = mm->add_instruction(
Shucai Xiao's avatar
Shucai Xiao committed
2058
2059
2060
2061
        migraphx::make_op("convert",
                          {{"target_type", migraphx::to_value(migraphx::shape::bool_type)}}),
        gr);
    mm->add_return({r});
2062

2063
    p.compile(migraphx::ref::target{});
2064
    auto result = p.eval({}).back();
Shucai Xiao's avatar
Shucai Xiao committed
2065
    std::vector<bool> results_vector;
2066
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
Shucai Xiao's avatar
Shucai Xiao committed
2067
2068
    std::vector<bool> gold = {false, true, false, true, false, true, false, true, false};
    EXPECT(results_vector == gold);
2069
2070
}

Shucai Xiao's avatar
Shucai Xiao committed
2071
TEST_CASE(greater_test)
2072
2073
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
2074
2075
2076
2077
2078
2079
2080
2081
2082
2083
2084
2085
    auto* mm = p.get_main_module();
    migraphx::shape s{migraphx::shape::float_type, {9}};
    auto l0 =
        mm->add_literal(migraphx::literal{s, {1.1, 1.5, 0.1, -1.1, -1.5, -0.6, 0.0, 2.0, -2.0}});
    auto l1 =
        mm->add_literal(migraphx::literal{s, {1.1, 1.6, -0.1, -1.2, -1.5, -0.7, 0.0, 2.3, -2.1}});
    auto gr = mm->add_instruction(migraphx::make_op("greater"), l0, l1);
    auto r  = mm->add_instruction(
        migraphx::make_op("convert",
                          {{"target_type", migraphx::to_value(migraphx::shape::bool_type)}}),
        gr);
    mm->add_return({r});
2086

2087
    p.compile(migraphx::ref::target{});
2088
    auto result = p.eval({}).back();
Shucai Xiao's avatar
Shucai Xiao committed
2089
    std::vector<bool> results_vector;
2090
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
Shucai Xiao's avatar
Shucai Xiao committed
2091
2092
    std::vector<bool> gold = {false, false, true, true, false, true, false, false, true};
    EXPECT(results_vector == gold);
2093
}
Shucai Xiao's avatar
Shucai Xiao committed
2094

Shucai Xiao's avatar
Shucai Xiao committed
2095
TEST_CASE(identity_test)
Shucai Xiao's avatar
Shucai Xiao committed
2096
2097
2098
{
    migraphx::program p;
    auto* mm = p.get_main_module();
Shucai Xiao's avatar
Shucai Xiao committed
2099
2100
2101
2102
    migraphx::shape s{migraphx::shape::float_type, {2, 2}};
    std::vector<int> data{1, 2, 3, 4};
    auto l = mm->add_literal(migraphx::literal{s, data});
    mm->add_instruction(migraphx::make_op("identity"), l);
Shucai Xiao's avatar
Shucai Xiao committed
2103
2104
    p.compile(migraphx::ref::target{});
    auto result = p.eval({}).back();
Shucai Xiao's avatar
Shucai Xiao committed
2105
    std::vector<int> results_vector(4);
Shucai Xiao's avatar
Shucai Xiao committed
2106
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
Shucai Xiao's avatar
Shucai Xiao committed
2107
    EXPECT(std::equal(data.begin(), data.end(), results_vector.begin()));
Shucai Xiao's avatar
Shucai Xiao committed
2108
2109
}

Shucai Xiao's avatar
Shucai Xiao committed
2110
TEST_CASE(if_literal_test)
2111
{
Shucai Xiao's avatar
Shucai Xiao committed
2112
2113
2114
2115
2116
2117
2118
2119
2120
2121
2122
2123
2124
2125
2126
2127
2128
2129
2130
    auto create_program = [] {
        migraphx::program p;
        auto* mm = p.get_main_module();
        migraphx::shape cond_s{migraphx::shape::bool_type};
        auto cond = mm->add_parameter("cond", cond_s);

        migraphx::shape s{migraphx::shape::float_type, {5}};

        auto* then_mod           = p.create_module("If_0_if");
        std::vector<float> data1 = {1, 2, 3, 4, 5};
        auto l1                  = then_mod->add_literal(migraphx::literal(s, data1));
        then_mod->add_return({l1});

        auto* else_mod           = p.create_module("If_0_else");
        std::vector<float> data2 = {5, 4, 3, 2, 1};
        auto l2                  = else_mod->add_literal(migraphx::literal(s, data2));
        else_mod->add_return({l2});

        auto ret = mm->add_instruction(migraphx::make_op("if"), {cond}, {then_mod, else_mod});
Shucai Xiao's avatar
Shucai Xiao committed
2131
2132
        auto r   = mm->add_instruction(migraphx::make_op("get_tuple_elem", {{"index", 0}}), ret);
        mm->add_return({r});
Shucai Xiao's avatar
Shucai Xiao committed
2133
2134
2135
2136
2137
2138
2139
2140
2141
2142
2143
2144
2145
2146
2147
2148
2149
2150
2151
2152
2153
2154
2155
2156
2157
2158
2159

        return p;
    };

    auto run_prog = [&](bool cond) {
        auto p = create_program();
        p.compile(migraphx::ref::target());
        std::vector<char> c_data = {static_cast<char>(cond)};
        migraphx::shape cs{migraphx::shape::bool_type};
        migraphx::parameter_map m;
        m["cond"] = migraphx::argument(cs, c_data.data());

        auto res = p.eval(m).back();
        std::vector<float> ret;
        res.visit([&](auto v) { ret.assign(v.begin(), v.end()); });

        return ret;
    };

    // then branch
    {
        std::vector<float> gold_ret = {1.0f, 2.0f, 3.0f, 4.0f, 5.0f};
        auto ret                    = run_prog(true);
        EXPECT(gold_ret == ret);
    }

    // else branch
2160
    {
Shucai Xiao's avatar
Shucai Xiao committed
2161
2162
2163
2164
2165
2166
2167
2168
2169
        std::vector<float> gold_ret = {5.0f, 4.0f, 3.0f, 2.0f, 1.0f};
        auto ret                    = run_prog(false);
        EXPECT(gold_ret == ret);
    }
}

TEST_CASE(if_param_test)
{
    auto create_program = [] {
2170
2171
        migraphx::program p;
        auto* mm = p.get_main_module();
Shucai Xiao's avatar
Shucai Xiao committed
2172
2173
2174
2175
2176
2177
2178
2179
2180
2181
2182
2183
2184
2185
2186
2187
2188
2189
2190
2191
2192
2193
        migraphx::shape cond_s{migraphx::shape::bool_type};
        auto cond = mm->add_parameter("cond", cond_s);
        migraphx::shape ds{migraphx::shape::float_type, {2, 3}};
        auto x                   = mm->add_parameter("x", ds);
        auto y                   = mm->add_parameter("y", ds);
        std::vector<float> data2 = {-0.258047, 0.360394, 0.536804, -0.577762, 1.0217, 1.02442};
        auto l2                  = mm->add_literal(migraphx::literal(ds, data2));
        auto sum                 = mm->add_instruction(migraphx::make_op("add"), x, l2);

        auto* then_mod           = p.create_module("If_0_if");
        std::vector<float> data1 = {0.384804, -1.77948, -0.453775, 0.477438, -1.06333, -1.12893};
        auto l1                  = then_mod->add_literal(migraphx::literal(ds, data1));
        auto tx                  = then_mod->add_parameter("x", ds);
        auto a1                  = then_mod->add_instruction(migraphx::make_op("add"), tx, l1);
        then_mod->add_return({a1});

        auto* else_mod = p.create_module("If_0_else");
        auto ey        = else_mod->add_parameter("y", ds);
        auto a2        = else_mod->add_instruction(migraphx::make_op("mul"), ey, sum);
        else_mod->add_return({a2});

        auto ret = mm->add_instruction(migraphx::make_op("if"), {cond, x, y}, {then_mod, else_mod});
Shucai Xiao's avatar
Shucai Xiao committed
2194
2195
        auto r   = mm->add_instruction(migraphx::make_op("get_tuple_elem", {{"index", 0}}), ret);
        mm->add_return({r});
Shucai Xiao's avatar
Shucai Xiao committed
2196
2197
2198
2199
2200
2201
2202
2203
2204
2205
2206
2207
2208
2209
2210
2211
2212
2213
2214
2215
2216
2217
2218
2219
2220
2221
2222
2223
2224

        return p;
    };

    auto run_prog = [&](bool cond) {
        auto p = create_program();
        p.compile(migraphx::ref::target());
        std::vector<char> c_data = {static_cast<char>(cond)};
        migraphx::shape cs{migraphx::shape::bool_type};
        migraphx::parameter_map m;
        m["cond"] = migraphx::argument(cs, c_data.data());
        migraphx::shape ds{migraphx::shape::float_type, {2, 3}};
        std::vector<float> data_x(ds.elements(), 1);
        m["x"] = migraphx::argument(ds, data_x.data());
        std::vector<float> data_y(ds.elements(), 2);
        m["y"] = migraphx::argument(ds, data_y.data());

        auto res = p.eval(m).back();
        std::vector<float> ret;
        res.visit([&](auto v) { ret.assign(v.begin(), v.end()); });
        return ret;
    };

    // then branch
    {
        std::vector<float> gold_ret = {
            1.384804, -0.77947998, 0.54622501, 1.477438, -0.063330054, -0.12892997};
        auto ret = run_prog(true);
        EXPECT(gold_ret == ret);
2225
2226
    }

Shucai Xiao's avatar
Shucai Xiao committed
2227
    // else branch
2228
    {
Shucai Xiao's avatar
Shucai Xiao committed
2229
2230
2231
2232
2233
2234
2235
2236
2237
2238
        std::vector<float> gold_ret = {
            1.483906, 2.720788, 3.0736079, 0.84447598, 4.0433998, 4.04884};
        auto ret = run_prog(false);
        EXPECT(gold_ret == ret);
    }
}

TEST_CASE(if_pl_test)
{
    auto create_program = [] {
2239
2240
        migraphx::program p;
        auto* mm = p.get_main_module();
Shucai Xiao's avatar
Shucai Xiao committed
2241
2242
2243
2244
2245
2246
2247
2248
2249
2250
2251
2252
2253
2254
2255
2256
2257
2258
        migraphx::shape cond_s{migraphx::shape::bool_type};
        migraphx::shape s{migraphx::shape::float_type, {5}};
        auto cond = mm->add_parameter("cond", cond_s);
        auto x    = mm->add_parameter("x", s);

        auto* then_mod           = p.create_module("If_0_if");
        std::vector<float> data1 = {1, 2, 3, 4, 5};
        auto l1                  = then_mod->add_literal(migraphx::literal(s, data1));
        then_mod->add_return({l1, x});

        auto* else_mod           = p.create_module("If_0_else");
        std::vector<float> data2 = {5, 4, 3, 2, 1};
        auto l2                  = else_mod->add_literal(migraphx::literal(s, data2));
        auto s2                  = else_mod->add_instruction(migraphx::make_op("add"), x, l2);
        else_mod->add_return({s2, l2});

        auto ret     = mm->add_instruction(migraphx::make_op("if"), {cond}, {then_mod, else_mod});
        auto outline = mm->add_outline(s);
Shucai Xiao's avatar
Shucai Xiao committed
2259
2260
        auto r = mm->add_instruction(migraphx::make_op("get_tuple_elem", {{"index", 0}}), ret);
        mm->add_return({outline, r});
Shucai Xiao's avatar
Shucai Xiao committed
2261
2262
2263
2264
2265
2266
2267
2268
2269
2270
2271
2272
2273
2274
2275
2276
2277
2278
2279
2280
2281
2282
2283
2284
2285
2286
2287
2288
2289
2290
2291
2292
2293
2294

        return p;
    };

    auto run_prog = [&](bool cond) {
        auto p = create_program();
        p.compile(migraphx::ref::target());
        std::vector<char> c_data = {static_cast<char>(cond)};
        migraphx::shape cs{migraphx::shape::bool_type};
        migraphx::parameter_map m;
        m["cond"] = migraphx::argument(cs, c_data.data());
        migraphx::shape ds{migraphx::shape::float_type, {5}};
        std::vector<float> data(ds.elements(), 1);
        m["x"] = migraphx::argument(ds, data.data());

        auto res = p.eval(m).back();
        std::vector<float> ret;
        res.visit([&](auto v) { ret.assign(v.begin(), v.end()); });

        return ret;
    };

    // then branch
    {
        std::vector<float> gold_ret = {1.0f, 2.0f, 3.0f, 4.0f, 5.0f};
        auto ret                    = run_prog(true);
        EXPECT(gold_ret == ret);
    }

    // else branch
    {
        std::vector<float> gold_ret = {6.0f, 5.0f, 4.0f, 3.0f, 2.0f};
        auto ret                    = run_prog(false);
        EXPECT(gold_ret == ret);
2295
2296
2297
    }
}

Charlie Lin's avatar
Charlie Lin committed
2298
2299
2300
2301
2302
2303
2304
2305
2306
2307
2308
2309
2310
2311
2312
2313
2314
2315
2316
2317
2318
2319
2320
2321
2322
2323
2324
2325
2326
2327
2328
2329
2330
2331
2332
2333
2334
2335
2336
TEST_CASE(isnan_test)
{
    // float test
    {
        migraphx::program p;
        auto* mm = p.get_main_module();
        migraphx::shape s{migraphx::shape::float_type, {2, 3}};
        auto nan_val             = std::numeric_limits<float>::quiet_NaN();
        std::vector<float> data0 = {1.2, 5.2, nan_val, nan_val, 0., 100.};
        auto l1                  = mm->add_literal(migraphx::literal{s, data0});
        mm->add_instruction(migraphx::make_op("isnan"), l1);
        p.compile(migraphx::ref::target{});
        auto result = p.eval({}).back();
        std::vector<float> results_vector;
        result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
        std::vector<float> correct = {0, 0, 1, 1, 0, 0};
        EXPECT(migraphx::verify_range(results_vector, correct));
    }

    // half test
    {
        migraphx::program p;
        auto* mm = p.get_main_module();
        migraphx::shape s{migraphx::shape::half_type, {2, 3}};
        auto nan_val = std::numeric_limits<migraphx::half>::quiet_NaN();
        migraphx::half a{1.2};
        migraphx::half b{5.2};
        std::vector<migraphx::half> data0 = {a, b, nan_val, nan_val, b, a};
        auto l1                           = mm->add_literal(migraphx::literal{s, data0});
        mm->add_instruction(migraphx::make_op("isnan"), l1);
        p.compile(migraphx::ref::target{});
        auto result = p.eval({}).back();
        std::vector<float> results_vector;
        result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
        std::vector<float> correct = {0, 0, 1, 1, 0, 0};
        EXPECT(migraphx::verify_range(results_vector, correct));
    }
}

Shucai Xiao's avatar
Shucai Xiao committed
2337
TEST_CASE(im2col_3x3_no_pad_identity_test)
Shucai Xiao's avatar
Shucai Xiao committed
2338
{
Shucai Xiao's avatar
Shucai Xiao committed
2339
2340
2341
2342
2343
2344
2345
2346
2347
2348
2349
    std::size_t f[2]    = {3, 3};
    std::size_t size[2] = {3, 3};
    std::vector<std::size_t> padding{0, 0};
    std::vector<std::size_t> stride{1, 1};
    std::vector<std::size_t> dilation{1, 1};
    std::size_t channels = 1;

    std::vector<int32_t> weights(channels * f[0] * f[1]);
    std::vector<int32_t> input(channels * size[0] * size[1]);
    std::iota(input.begin(), input.end(), 0);

Shucai Xiao's avatar
Shucai Xiao committed
2350
2351
    migraphx::program p;
    auto* mm = p.get_main_module();
Shucai Xiao's avatar
Shucai Xiao committed
2352
2353
2354
2355
2356
2357
2358
2359
2360
    migraphx::shape s_image{migraphx::shape::int32_type, {1, channels, size[0], size[1]}};
    migraphx::shape s_weights{migraphx::shape::int32_type, {1, channels, f[0], f[1]}};
    auto l_image   = mm->add_literal(migraphx::literal{s_image, input});
    auto l_weights = mm->add_literal(migraphx::literal{s_weights, weights});
    mm->add_instruction(
        migraphx::make_op("im2col",
                          {{"padding", padding}, {"stride", stride}, {"dilation", dilation}}),
        l_image,
        l_weights);
Shucai Xiao's avatar
Shucai Xiao committed
2361
2362
    p.compile(migraphx::ref::target{});
    auto result = p.eval({}).back();
Shucai Xiao's avatar
Shucai Xiao committed
2363
2364
2365
2366
2367
2368
2369
2370
2371
2372
2373
2374
2375
2376
2377
2378
2379
2380
2381
2382
2383
2384
2385
2386
2387
2388
2389
2390
2391
2392
2393
2394
2395
2396
2397
2398
2399
2400
2401
2402
2403
2404
2405
2406
2407
2408
2409
2410
2411
2412
2413
2414
2415
2416
2417
2418
2419
2420
2421
2422
2423
2424
2425
2426
2427
2428
2429
2430
2431
2432
2433
2434
2435
2436
2437
2438
2439
2440
2441

    std::size_t col_height = (size[0] - f[0] + 2 * padding[0]) / stride[0] + 1;
    std::size_t col_width  = (size[1] - f[1] + 2 * padding[1]) / stride[1] + 1;
    std::vector<float> results_vector(channels * f[0] * f[1] * col_height * col_width);
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
    EXPECT(migraphx::verify_range(results_vector, input));
}

TEST_CASE(im2col_3x3_no_pad_test)
{
    std::size_t f[2]    = {3, 3};
    std::size_t size[2] = {4, 4};
    std::vector<std::size_t> padding{0, 0};
    std::vector<std::size_t> stride{1, 1};
    std::vector<std::size_t> dilation{1, 1};
    std::size_t channels = 1;

    std::vector<int32_t> weights(channels * f[0] * f[1]);
    std::vector<int32_t> input(channels * size[0] * size[1]);
    std::iota(input.begin(), input.end(), 0);

    migraphx::program p;
    auto* mm = p.get_main_module();
    migraphx::shape s_image{migraphx::shape::int32_type, {1, channels, size[0], size[1]}};
    migraphx::shape s_weights{migraphx::shape::int32_type, {1, channels, f[0], f[1]}};
    auto l_image   = mm->add_literal(migraphx::literal{s_image, input});
    auto l_weights = mm->add_literal(migraphx::literal{s_weights, weights});
    mm->add_instruction(
        migraphx::make_op("im2col",
                          {{"padding", padding}, {"stride", stride}, {"dilation", dilation}}),
        l_image,
        l_weights);
    p.compile(migraphx::ref::target{});
    auto result = p.eval({}).back();

    std::vector<int> correct = {0, 1, 2, 4, 5, 6,  8,  9,  10, 1, 2, 3, 5, 6,  7,  9,  10, 11,
                                4, 5, 6, 8, 9, 10, 12, 13, 14, 5, 6, 7, 9, 10, 11, 13, 14, 15};

    std::size_t col_height = (size[0] - f[0] + 2 * padding[0]) / stride[0] + 1;
    std::size_t col_width  = (size[1] - f[1] + 2 * padding[1]) / stride[1] + 1;
    std::vector<float> results_vector(channels * f[0] * f[1] * col_height * col_width);
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
    EXPECT(migraphx::verify_range(results_vector, correct));
}

TEST_CASE(im2col_3x3_stride_2_no_pad_test)
{
    std::size_t f[2]    = {3, 3};
    std::size_t size[2] = {6, 6};
    std::vector<std::size_t> padding{0, 0};
    std::vector<std::size_t> stride{2, 2};
    std::vector<std::size_t> dilation{1, 1};
    std::size_t channels = 1;

    std::vector<int32_t> weights(channels * f[0] * f[1]);
    std::vector<int32_t> input(channels * size[0] * size[1]);
    std::iota(input.begin(), input.end(), 0);

    migraphx::program p;
    auto* mm = p.get_main_module();
    migraphx::shape s_image{migraphx::shape::int32_type, {1, channels, size[0], size[1]}};
    migraphx::shape s_weights{migraphx::shape::int32_type, {1, channels, f[0], f[1]}};
    auto l_image   = mm->add_literal(migraphx::literal{s_image, input});
    auto l_weights = mm->add_literal(migraphx::literal{s_weights, weights});
    mm->add_instruction(
        migraphx::make_op("im2col",
                          {{"padding", padding}, {"stride", stride}, {"dilation", dilation}}),
        l_image,
        l_weights);
    p.compile(migraphx::ref::target{});
    auto result = p.eval({}).back();

    std::vector<int> correct = {0,  1,  2,  6,  7,  8,  12, 13, 14, 2,  3,  4,
                                8,  9,  10, 14, 15, 16, 12, 13, 14, 18, 19, 20,
                                24, 25, 26, 14, 15, 16, 20, 21, 22, 26, 27, 28};

    std::size_t col_height = (size[0] - f[0] + 2 * padding[0]) / stride[0] + 1;
    std::size_t col_width  = (size[1] - f[1] + 2 * padding[1]) / stride[1] + 1;
    std::vector<float> results_vector(channels * f[0] * f[1] * col_height * col_width);
Shucai Xiao's avatar
Shucai Xiao committed
2442
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
Shucai Xiao's avatar
Shucai Xiao committed
2443
    EXPECT(migraphx::verify_range(results_vector, correct));
Shucai Xiao's avatar
Shucai Xiao committed
2444
2445
}

Shucai Xiao's avatar
Shucai Xiao committed
2446
TEST_CASE(im2col_3x3_with_channels_identity_test)
Shucai Xiao's avatar
Shucai Xiao committed
2447
{
Shucai Xiao's avatar
Shucai Xiao committed
2448
2449
2450
2451
2452
2453
2454
2455
2456
2457
2458
    std::size_t f[2]    = {3, 3};
    std::size_t size[2] = {3, 3};
    std::vector<std::size_t> padding{0, 0};
    std::vector<std::size_t> stride{1, 1};
    std::vector<std::size_t> dilation{1, 1};
    std::size_t channels = 2;

    std::vector<int32_t> weights(channels * f[0] * f[1]);
    std::vector<int32_t> input(channels * size[0] * size[1]);
    std::iota(input.begin(), input.end(), 0);

Shucai Xiao's avatar
Shucai Xiao committed
2459
2460
    migraphx::program p;
    auto* mm = p.get_main_module();
Shucai Xiao's avatar
Shucai Xiao committed
2461
2462
2463
2464
2465
2466
2467
2468
2469
    migraphx::shape s_image{migraphx::shape::int32_type, {1, channels, size[0], size[1]}};
    migraphx::shape s_weights{migraphx::shape::int32_type, {1, channels, f[0], f[1]}};
    auto l_image   = mm->add_literal(migraphx::literal{s_image, input});
    auto l_weights = mm->add_literal(migraphx::literal{s_weights, weights});
    mm->add_instruction(
        migraphx::make_op("im2col",
                          {{"padding", padding}, {"stride", stride}, {"dilation", dilation}}),
        l_image,
        l_weights);
Shucai Xiao's avatar
Shucai Xiao committed
2470
2471
    p.compile(migraphx::ref::target{});
    auto result = p.eval({}).back();
Shucai Xiao's avatar
Shucai Xiao committed
2472
2473
2474
2475

    std::size_t col_height = (size[0] - f[0] + 2 * padding[0]) / stride[0] + 1;
    std::size_t col_width  = (size[1] - f[1] + 2 * padding[1]) / stride[1] + 1;
    std::vector<float> results_vector(channels * f[0] * f[1] * col_height * col_width);
Shucai Xiao's avatar
Shucai Xiao committed
2476
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
Shucai Xiao's avatar
Shucai Xiao committed
2477
    EXPECT(migraphx::verify_range(results_vector, input));
Shucai Xiao's avatar
Shucai Xiao committed
2478
}
2479

Shucai Xiao's avatar
Shucai Xiao committed
2480
TEST_CASE(im2col_3x3_with_padding_test)
2481
{
Shucai Xiao's avatar
Shucai Xiao committed
2482
2483
2484
2485
2486
2487
2488
2489
2490
2491
2492
    std::size_t f[2]    = {3, 3};
    std::size_t size[2] = {2, 2};
    std::vector<std::size_t> padding{1, 1};
    std::vector<std::size_t> stride{1, 1};
    std::vector<std::size_t> dilation{1, 1};
    std::size_t channels = 1;

    std::vector<int32_t> weights(channels * f[0] * f[1]);
    std::vector<int32_t> input(channels * size[0] * size[1]);
    std::iota(input.begin(), input.end(), 0);

2493
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
2494
2495
2496
2497
2498
2499
2500
2501
2502
2503
    auto* mm = p.get_main_module();
    migraphx::shape s_image{migraphx::shape::int32_type, {1, channels, size[0], size[1]}};
    migraphx::shape s_weights{migraphx::shape::int32_type, {1, channels, f[0], f[1]}};
    auto l_image   = mm->add_literal(migraphx::literal{s_image, input});
    auto l_weights = mm->add_literal(migraphx::literal{s_weights, weights});
    mm->add_instruction(
        migraphx::make_op("im2col",
                          {{"padding", padding}, {"stride", stride}, {"dilation", dilation}}),
        l_image,
        l_weights);
2504
    p.compile(migraphx::ref::target{});
2505
    auto result = p.eval({}).back();
2506

Shucai Xiao's avatar
Shucai Xiao committed
2507
2508
2509
2510
2511
2512
2513
2514
    std::vector<int> correct = {0, 0, 0, 0, 0, 1, 0, 2, 3, 0, 0, 0, 0, 1, 0, 2, 3, 0,
                                0, 0, 1, 0, 2, 3, 0, 0, 0, 0, 1, 0, 2, 3, 0, 0, 0, 0};

    std::size_t col_height = (size[0] - f[0] + 2 * padding[0]) / stride[0] + 1;
    std::size_t col_width  = (size[1] - f[1] + 2 * padding[1]) / stride[1] + 1;
    std::vector<float> results_vector(channels * f[0] * f[1] * col_height * col_width);
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
    EXPECT(migraphx::verify_range(results_vector, correct));
2515
2516
}

Shucai Xiao's avatar
Shucai Xiao committed
2517
TEST_CASE(imagescaler_test)
2518
2519
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
2520
2521
2522
2523
2524
2525
2526
2527
2528
2529
2530
2531
2532
2533
2534
2535
2536
2537
2538
2539
2540
2541
2542
2543
    auto* mm = p.get_main_module();
    migraphx::shape s{migraphx::shape::float_type, {1, 3, 2, 2}};
    auto img           = mm->add_literal(migraphx::literal{s,
                                                 {0.2,
                                                  0.3,
                                                  0.5,
                                                  0.4,

                                                  0.7,
                                                  0.8,
                                                  0.1,
                                                  0.9,

                                                  0.15,
                                                  0.25,
                                                  0.35,
                                                  0.45}});
    auto scale_val     = mm->add_literal(2.f);
    auto scaled_tensor = mm->add_instruction(
        migraphx::make_op("scalar", {{"scalar_bcst_dims", s.lens()}}), scale_val);
    auto img_scaled = mm->add_instruction(migraphx::make_op("mul"), img, scaled_tensor);
    auto bias_vals  = mm->add_literal(
        migraphx::literal{migraphx::shape{migraphx::shape::float_type, {3}}, {0.01, 0.02, 0.03}});
    auto bias_bcast = mm->add_instruction(
2544
        migraphx::make_op("broadcast", {{"axis", 1}, {"out_lens", s.lens()}}), bias_vals);
Shucai Xiao's avatar
Shucai Xiao committed
2545
    mm->add_instruction(migraphx::make_op("add"), img_scaled, bias_bcast);
2546
    p.compile(migraphx::ref::target{});
2547
    auto result = p.eval({}).back();
Shucai Xiao's avatar
Shucai Xiao committed
2548
2549
2550
2551
2552
2553
    std::vector<float> results_vector(12);
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
    std::vector<float> gold = {0.41,
                               0.61,
                               1.01,
                               0.81,
2554

Shucai Xiao's avatar
Shucai Xiao committed
2555
2556
2557
2558
2559
2560
2561
2562
2563
2564
                               1.42,
                               1.62,
                               0.22,
                               1.82,

                               0.33,
                               0.53,
                               0.73,
                               0.93};
    EXPECT(migraphx::verify_range(results_vector, gold));
2565
2566
}

Shucai Xiao's avatar
Shucai Xiao committed
2567
TEST_CASE(leaky_relu_test)
2568
2569
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
2570
2571
2572
2573
    auto* mm = p.get_main_module();
    migraphx::shape s{migraphx::shape::float_type, {3}};
    auto l = mm->add_literal(migraphx::literal{s, {-1.f, 0.f, 1.f}});
    mm->add_instruction(migraphx::make_op("leaky_relu", {{"alpha", 0.01}}), l);
2574
    p.compile(migraphx::ref::target{});
2575
    auto result = p.eval({}).back();
Shucai Xiao's avatar
Shucai Xiao committed
2576
2577
2578
2579
    std::vector<float> results_vector(3);
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
    std::vector<float> gold = {-0.01f, 0.f, 1.f};
    EXPECT(migraphx::verify_range(results_vector, gold));
2580
2581
}

Shucai Xiao's avatar
Shucai Xiao committed
2582
TEST_CASE(less_brcst_test)
2583
2584
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
2585
2586
2587
2588
2589
    auto* mm = p.get_main_module();
    migraphx::shape s0{migraphx::shape::float_type, {3, 3}};
    auto l0 =
        mm->add_literal(migraphx::literal{s0, {1.1, 1.5, 0.1, -1.1, -1.5, -0.6, 0.0, 2.0, -2.0}});
    migraphx::shape s1{migraphx::shape::float_type, {3, 1}};
2590
2591
2592
2593
    auto l1  = mm->add_literal(migraphx::literal{s1, {1.1, -1.5, 0.0}});
    auto bl1 = mm->add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", {3, 3}}}), l1);
    auto le  = mm->add_instruction(migraphx::make_op("less"), l0, bl1);
    auto r   = mm->add_instruction(
Shucai Xiao's avatar
Shucai Xiao committed
2594
2595
2596
2597
2598
        migraphx::make_op("convert",
                          {{"target_type", migraphx::to_value(migraphx::shape::bool_type)}}),
        le);
    mm->add_return({r});

2599
    p.compile(migraphx::ref::target{});
2600
    auto result = p.eval({}).back();
Shucai Xiao's avatar
Shucai Xiao committed
2601
2602
2603
2604
    std::vector<bool> results_vector;
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
    std::vector<bool> gold = {false, false, true, false, false, false, false, false, true};
    EXPECT(results_vector == gold);
2605
2606
}

Shucai Xiao's avatar
Shucai Xiao committed
2607
TEST_CASE(less_test)
2608
2609
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
2610
2611
    auto* mm = p.get_main_module();
    migraphx::shape s{migraphx::shape::float_type, {9}};
2612
2613
2614
2615
2616
2617
    std::vector<float> data1 = {1.1, 1.5, 0.1, -1.1, -1.5, -0.6, 0.0, 2.0, -2.0};
    std::vector<float> data2 = {1.1, 1.6, -0.1, -1.2, -1.5, -0.7, 0.0, 2.3, -2.1};
    auto l0                  = mm->add_literal(migraphx::literal{s, data1});
    auto l1                  = mm->add_literal(migraphx::literal{s, data2});
    auto le                  = mm->add_instruction(migraphx::make_op("less"), l0, l1);
    auto r                   = mm->add_instruction(
Shucai Xiao's avatar
Shucai Xiao committed
2618
2619
2620
2621
2622
        migraphx::make_op("convert",
                          {{"target_type", migraphx::to_value(migraphx::shape::bool_type)}}),
        le);
    mm->add_return({r});

2623
    p.compile(migraphx::ref::target{});
2624
    auto result = p.eval({}).back();
Shucai Xiao's avatar
Shucai Xiao committed
2625
2626
    std::vector<bool> results_vector;
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
2627
2628
2629
2630
2631
    std::vector<bool> gold(data1.size());
    std::transform(
        data1.begin(), data1.end(), data2.begin(), gold.begin(), [](float n1, float n2) -> bool {
            return n1 < n2;
        });
Shucai Xiao's avatar
Shucai Xiao committed
2632
    EXPECT(results_vector == gold);
2633
2634
}

Shucai Xiao's avatar
Shucai Xiao committed
2635
TEST_CASE(log_test)
2636
2637
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
2638
2639
    auto* mm = p.get_main_module();
    migraphx::shape s{migraphx::shape::float_type, {3}};
2640
2641
    std::vector<float> data = {1, 2, 3};
    auto l                  = mm->add_literal(migraphx::literal{s, data});
Shucai Xiao's avatar
Shucai Xiao committed
2642
    mm->add_instruction(migraphx::make_op("log"), l);
2643
    p.compile(migraphx::ref::target{});
2644
    auto result = p.eval({}).back();
Shucai Xiao's avatar
Shucai Xiao committed
2645
2646
    std::vector<float> results_vector(3);
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
2647
2648
2649
    std::vector<float> gold = data;
    std::transform(
        gold.begin(), gold.end(), gold.begin(), [](float n) -> float { return logf(n); });
Shucai Xiao's avatar
Shucai Xiao committed
2650
    EXPECT(migraphx::verify_range(results_vector, gold));
2651
2652
}

Shucai Xiao's avatar
Shucai Xiao committed
2653
TEST_CASE(logical_and_test)
2654
2655
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
2656
2657
    auto* mm = p.get_main_module();
    migraphx::shape s{migraphx::shape::bool_type, {4}};
2658
2659
2660
2661
    std::vector<bool> data1{true, false, true, false};
    std::vector<bool> data2{true, true, false, false};
    auto l1 = mm->add_literal(migraphx::literal{s, data1});
    auto l2 = mm->add_literal(migraphx::literal{s, data2});
Shucai Xiao's avatar
Shucai Xiao committed
2662
    mm->add_instruction(migraphx::make_op("logical_and"), l1, l2);
2663
    p.compile(migraphx::ref::target{});
2664
    auto result = p.eval({}).back();
Shucai Xiao's avatar
Shucai Xiao committed
2665
2666
    std::vector<char> results_vector;
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
2667
2668
2669
2670
2671
    std::vector<bool> gold(data2.size());
    std::transform(
        data1.begin(), data1.end(), data2.begin(), gold.begin(), [](bool n1, bool n2) -> bool {
            return n1 and n2;
        });
Shucai Xiao's avatar
Shucai Xiao committed
2672
    EXPECT(migraphx::verify_range(results_vector, gold));
2673
2674
}

Shucai Xiao's avatar
Shucai Xiao committed
2675
TEST_CASE(logical_or_test)
2676
2677
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
2678
2679
    auto* mm = p.get_main_module();
    migraphx::shape s{migraphx::shape::bool_type, {4}};
2680
2681
2682
2683
    std::vector<bool> data1{true, false, true, false};
    std::vector<bool> data2{true, true, false, false};
    auto l1 = mm->add_literal(migraphx::literal{s, data1});
    auto l2 = mm->add_literal(migraphx::literal{s, data2});
Shucai Xiao's avatar
Shucai Xiao committed
2684
    mm->add_instruction(migraphx::make_op("logical_or"), l1, l2);
2685
    p.compile(migraphx::ref::target{});
2686
    auto result = p.eval({}).back();
Shucai Xiao's avatar
Shucai Xiao committed
2687
2688
    std::vector<char> results_vector;
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
2689
2690
2691
2692
2693
    std::vector<bool> gold(data1.size());
    std::transform(
        data1.begin(), data1.end(), data2.begin(), gold.begin(), [](bool n1, bool n2) -> bool {
            return n1 or n2;
        });
Shucai Xiao's avatar
Shucai Xiao committed
2694
    EXPECT(migraphx::verify_range(results_vector, gold));
2695
2696
}

Shucai Xiao's avatar
Shucai Xiao committed
2697
TEST_CASE(logical_xor_test)
Shucai Xiao's avatar
Shucai Xiao committed
2698
2699
{
    migraphx::program p;
2700
    auto* mm = p.get_main_module();
Shucai Xiao's avatar
Shucai Xiao committed
2701
    migraphx::shape s{migraphx::shape::bool_type, {4}};
2702
2703
2704
2705
    std::vector<bool> data1{true, false, true, false};
    std::vector<bool> data2{true, true, false, false};
    auto l1 = mm->add_literal(migraphx::literal{s, data1});
    auto l2 = mm->add_literal(migraphx::literal{s, data2});
Shucai Xiao's avatar
Shucai Xiao committed
2706
    mm->add_instruction(migraphx::make_op("logical_xor"), l1, l2);
2707
    p.compile(migraphx::ref::target{});
Shucai Xiao's avatar
Shucai Xiao committed
2708
    auto result = p.eval({}).back();
Shucai Xiao's avatar
Shucai Xiao committed
2709
2710
    std::vector<char> results_vector;
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
2711
2712
2713
2714
2715
    std::vector<bool> gold = {false, true, true, false};
    std::transform(
        data1.begin(), data1.end(), data2.begin(), gold.begin(), [](bool n1, bool n2) -> bool {
            return n1 ^ n2;
        });
Shucai Xiao's avatar
Shucai Xiao committed
2716
    EXPECT(migraphx::verify_range(results_vector, gold));
Shucai Xiao's avatar
Shucai Xiao committed
2717
2718
}

Shucai Xiao's avatar
Shucai Xiao committed
2719
TEST_CASE(logsoftmax_test_axis_0)
2720
{
Paul's avatar
Paul committed
2721
    migraphx::program p;
2722
    auto* mm             = p.get_main_module();
2723
    std::vector<float> a = {
Shucai Xiao's avatar
Shucai Xiao committed
2724
2725
2726
2727
2728
2729
2730
2731
        1.93885877,  -1.20006269, 0.90960855,  0.42108916,  -1.50797544, -1.31047913, 1.07816336,
        -1.13288733, -0.86411064, 0.97800238,  0.76631385,  2.07962834,  -0.8940665,  -1.62855592,
        -0.53763057, -1.48165117, -0.64154112, 0.42486547,  0.89330917,  -2.42022666, 0.192611,
        -0.01257413, -1.5326607,  0.53137897,  -1.52383859, 0.46994381,  0.00453619,  0.0066996,
        1.58394908,  0.84216752,  -0.04137941, -0.88580789, 1.44055158,  -0.17621241, -1.98917923,
        -0.08610038, 0.79020567,  -0.67714548, 0.42774631,  0.1376574,   2.23569227,  1.16681234,
        -1.21191456, -0.28411502, -0.18688975, 1.67552548,  2.48357974,  0.95891282,  -0.06616535,
        -0.99628491, 1.04314606,  -1.22943315, 0.76930403,  0.31106618};
2732

Shucai Xiao's avatar
Shucai Xiao committed
2733
2734
2735
2736
2737
2738
2739
2740
    std::vector<float> s = {
        -0.135261, -2.843968, -0.659995, -0.488413, -1.051857, -2.812936, -0.250956, -0.353985,
        -1.155980, -0.603651, -0.211969, -0.175371, -1.336552, -3.885010, -1.871544, -0.837083,
        -0.887745, -0.433338, -1.158864, -4.911197, -1.147972, -0.666711, -0.996874, -0.981418,
        -0.851145, -0.853988, -0.858112, -2.067420, -0.059956, -0.727436, -0.950881, -0.429689,
        -0.061906, -1.505332, -1.210277, -0.377970, -0.791448, -1.655428, -1.827253, -0.304828,
        -0.020762, -0.167101, -0.567346, -0.530319, -1.045094, -0.376648, -0.007391, -0.381670,
        -0.720302, -0.460499, -0.469651, -0.556740, -0.554628, -0.551582};
2741

Shucai Xiao's avatar
Shucai Xiao committed
2742
2743
2744
2745
2746
2747
2748
2749
2750
2751
    migraphx::shape a_shape{migraphx::shape::float_type, {2, 3, 3, 3}};
    auto al  = mm->add_literal(migraphx::literal{a_shape, a});
    int axis = 0;
    mm->add_instruction(migraphx::make_op("logsoftmax", {{"axis", axis}}), al);
    p.compile(migraphx::ref::target{});
    auto result = p.eval({}).back();
    std::vector<float> results_vector;
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
    EXPECT(migraphx::verify_range(results_vector, s));
}
Scott Thornton's avatar
Scott Thornton committed
2752

Shucai Xiao's avatar
Shucai Xiao committed
2753
2754
2755
2756
2757
2758
2759
2760
2761
2762
2763
2764
2765
TEST_CASE(logsoftmax_test_axis_1)
{
    migraphx::program p;
    auto* mm             = p.get_main_module();
    std::vector<float> a = {
        1.93885877,  -1.20006269, 0.90960855,  0.42108916,  -1.50797544, -1.31047913, 1.07816336,
        -1.13288733, -0.86411064, 0.97800238,  0.76631385,  2.07962834,  -0.8940665,  -1.62855592,
        -0.53763057, -1.48165117, -0.64154112, 0.42486547,  0.89330917,  -2.42022666, 0.192611,
        -0.01257413, -1.5326607,  0.53137897,  -1.52383859, 0.46994381,  0.00453619,  0.0066996,
        1.58394908,  0.84216752,  -0.04137941, -0.88580789, 1.44055158,  -0.17621241, -1.98917923,
        -0.08610038, 0.79020567,  -0.67714548, 0.42774631,  0.1376574,   2.23569227,  1.16681234,
        -1.21191456, -0.28411502, -0.18688975, 1.67552548,  2.48357974,  0.95891282,  -0.06616535,
        -0.99628491, 1.04314606,  -1.22943315, 0.76930403,  0.31106618};
Scott Thornton's avatar
Scott Thornton committed
2766

Shucai Xiao's avatar
Shucai Xiao committed
2767
2768
2769
2770
2771
2772
2773
2774
2775
2776
2777
2778
2779
    std::vector<float> s = {
        -0.550468, -2.132973, -1.549746, -0.650533, -1.051529, -2.248570, -0.141017, -2.028357,
        -1.947730, -1.511324, -0.166597, -0.379726, -1.965689, -1.172109, -1.475721, -2.700831,
        -1.537011, -0.658754, -1.596017, -3.353137, -2.266743, -1.084197, -1.076214, -0.406712,
        -2.743019, -0.425526, -1.079083, -2.139486, -1.270584, -1.024088, -1.154231, -3.201762,
        -0.888957, -0.532855, -3.103583, -1.221339, -1.355980, -3.531678, -1.438510, -0.975194,
        -0.080261, -1.162697, -1.568557, -1.398519, -1.322129, -0.470660, -0.370953, -0.907343,
        -1.179017, -3.312239, -1.286363, -1.586076, -0.345100, -0.824173};

    migraphx::shape a_shape{migraphx::shape::float_type, {2, 3, 3, 3}};
    auto al  = mm->add_literal(migraphx::literal{a_shape, a});
    int axis = 1;
    mm->add_instruction(migraphx::make_op("logsoftmax", {{"axis", axis}}), al);
2780
    p.compile(migraphx::ref::target{});
2781
    auto result = p.eval({}).back();
Shucai Xiao's avatar
Shucai Xiao committed
2782
    std::vector<float> results_vector;
2783
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
Paul's avatar
Paul committed
2784
    EXPECT(migraphx::verify_range(results_vector, s));
Scott Thornton's avatar
Scott Thornton committed
2785
2786
}

Shucai Xiao's avatar
Shucai Xiao committed
2787
TEST_CASE(logsoftmax_test_axis_2)
Paul Fultz II's avatar
Paul Fultz II committed
2788
2789
{
    migraphx::program p;
2790
    auto* mm             = p.get_main_module();
Paul Fultz II's avatar
Paul Fultz II committed
2791
    std::vector<float> a = {
Shucai Xiao's avatar
Shucai Xiao committed
2792
2793
2794
2795
2796
2797
2798
2799
        1.93885877,  -1.20006269, 0.90960855,  0.42108916,  -1.50797544, -1.31047913, 1.07816336,
        -1.13288733, -0.86411064, 0.97800238,  0.76631385,  2.07962834,  -0.8940665,  -1.62855592,
        -0.53763057, -1.48165117, -0.64154112, 0.42486547,  0.89330917,  -2.42022666, 0.192611,
        -0.01257413, -1.5326607,  0.53137897,  -1.52383859, 0.46994381,  0.00453619,  0.0066996,
        1.58394908,  0.84216752,  -0.04137941, -0.88580789, 1.44055158,  -0.17621241, -1.98917923,
        -0.08610038, 0.79020567,  -0.67714548, 0.42774631,  0.1376574,   2.23569227,  1.16681234,
        -1.21191456, -0.28411502, -0.18688975, 1.67552548,  2.48357974,  0.95891282,  -0.06616535,
        -0.99628491, 1.04314606,  -1.22943315, 0.76930403,  0.31106618};
Paul Fultz II's avatar
Paul Fultz II committed
2800

Shucai Xiao's avatar
Shucai Xiao committed
2801
2802
2803
2804
2805
2806
2807
2808
    std::vector<float> s = {
        -0.495957, -1.031212, -0.245531, -2.013726, -1.339125, -2.465619, -1.356652, -0.964037,
        -2.019250, -0.214522, -0.289569, -0.234392, -2.086591, -2.684439, -2.851651, -2.674176,
        -1.697424, -1.889155, -0.401029, -3.064586, -1.173030, -1.306912, -2.177020, -0.834262,
        -2.818177, -0.174415, -1.361105, -1.024571, -0.106766, -1.167645, -1.072650, -2.576522,
        -0.569261, -1.207483, -3.679894, -2.095913, -0.504264, -3.039291, -1.290559, -1.156812,
        -0.126453, -0.551493, -2.506384, -2.646261, -1.905195, -0.206994, -0.191369, -0.959754,
        -1.948685, -3.671233, -0.875521, -3.111952, -1.905644, -1.6076011};
Paul Fultz II's avatar
Paul Fultz II committed
2809

Shucai Xiao's avatar
Shucai Xiao committed
2810
2811
2812
2813
2814
2815
2816
2817
2818
2819
    migraphx::shape a_shape{migraphx::shape::float_type, {2, 3, 3, 3}};
    auto al  = mm->add_literal(migraphx::literal{a_shape, a});
    int axis = 2;
    mm->add_instruction(migraphx::make_op("logsoftmax", {{"axis", axis}}), al);
    p.compile(migraphx::ref::target{});
    auto result = p.eval({}).back();
    std::vector<float> results_vector;
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
    EXPECT(migraphx::verify_range(results_vector, s));
}
Paul Fultz II's avatar
Paul Fultz II committed
2820

Shucai Xiao's avatar
Shucai Xiao committed
2821
2822
2823
2824
2825
2826
2827
2828
2829
2830
2831
2832
2833
TEST_CASE(logsoftmax_test_axis_3)
{
    migraphx::program p;
    auto* mm             = p.get_main_module();
    std::vector<float> a = {
        1.93885877,  -1.20006269, 0.90960855,  0.42108916,  -1.50797544, -1.31047913, 1.07816336,
        -1.13288733, -0.86411064, 0.97800238,  0.76631385,  2.07962834,  -0.8940665,  -1.62855592,
        -0.53763057, -1.48165117, -0.64154112, 0.42486547,  0.89330917,  -2.42022666, 0.192611,
        -0.01257413, -1.5326607,  0.53137897,  -1.52383859, 0.46994381,  0.00453619,  0.0066996,
        1.58394908,  0.84216752,  -0.04137941, -0.88580789, 1.44055158,  -0.17621241, -1.98917923,
        -0.08610038, 0.79020567,  -0.67714548, 0.42774631,  0.1376574,   2.23569227,  1.16681234,
        -1.21191456, -0.28411502, -0.18688975, 1.67552548,  2.48357974,  0.95891282,  -0.06616535,
        -0.99628491, 1.04314606,  -1.22943315, 0.76930403,  0.31106618};
Paul Fultz II's avatar
Paul Fultz II committed
2834

Shucai Xiao's avatar
Shucai Xiao committed
2835
2836
2837
2838
2839
2840
2841
2842
2843
2844
2845
2846
2847
    std::vector<float> s = {
        -0.336904, -3.475825, -1.366154, -0.279366, -2.208430, -2.010934, -0.225511, -2.436562,
        -2.167785, -1.572415, -1.784104, -0.470789, -1.067459, -1.801948, -0.711023, -2.307197,
        -1.467087, -0.400681, -0.426983, -3.740518, -1.127681, -1.078919, -2.599005, -0.534965,
        -2.561400, -0.567617, -1.033025, -2.097713, -0.520463, -1.262245, -1.763230, -2.607658,
        -0.281299, -0.814243, -2.627210, -0.724131, -0.655704, -2.123055, -1.018163, -2.480634,
        -0.382599, -1.451479, -1.843102, -0.915303, -0.818078, -1.316929, -0.508875, -2.033541,
        -1.487672, -2.417791, -0.378360, -2.568531, -0.569794, -1.028032};

    migraphx::shape a_shape{migraphx::shape::float_type, {2, 3, 3, 3}};
    auto al  = mm->add_literal(migraphx::literal{a_shape, a});
    int axis = 3;
    mm->add_instruction(migraphx::make_op("logsoftmax", {{"axis", axis}}), al);
2848
    p.compile(migraphx::ref::target{});
Paul Fultz II's avatar
Paul Fultz II committed
2849
    auto result = p.eval({}).back();
Shucai Xiao's avatar
Shucai Xiao committed
2850
    std::vector<float> results_vector;
Paul Fultz II's avatar
Paul Fultz II committed
2851
2852
2853
2854
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
    EXPECT(migraphx::verify_range(results_vector, s));
}

2855
2856
2857
2858
2859
2860
2861
2862
2863
2864
2865
2866
2867
2868
2869
2870
2871
2872
2873
2874
2875
2876
2877
2878
2879
2880
2881
2882
2883
2884
2885
2886
2887
2888
2889
2890
2891
2892
2893
2894
2895
2896
2897
2898
2899
2900
2901
2902
2903
2904
2905
2906
2907
2908
2909
2910
2911
TEST_CASE(lppool_test)
{
    // L1 norm test
    {
        migraphx::program p;
        auto* mm    = p.get_main_module();
        auto s      = migraphx::shape{migraphx::shape::float_type, {1, 3, 4}};
        auto op     = migraphx::op::pooling{migraphx::op::pooling_mode::lpnorm};
        op.lengths  = {2};
        op.padding  = {0};
        op.stride   = {1};
        op.lp_order = 1;

        std::vector<float> data{0.3, 0.2, 0.4, 0.1, 0.8, 0.5, 0.9, 0.1, 0.1, 0.7, 0.1, 0.6};
        auto l0 = mm->add_literal(migraphx::literal{s, data});
        mm->add_instruction(op, l0);
        p.compile(migraphx::ref::target{});
        auto result = p.eval({}).back();

        std::vector<float> results_vector;
        result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
        std::vector<float> gold{0.5, 0.6, 0.5, 1.3, 1.4, 1.0, 0.8, 0.8, 0.7};
        EXPECT(migraphx::verify_range(results_vector, gold));
    }

    // L2 norm test
    {
        migraphx::program p;
        auto* mm    = p.get_main_module();
        auto s      = migraphx::shape{migraphx::shape::float_type, {1, 3, 4}};
        auto op     = migraphx::op::pooling{migraphx::op::pooling_mode::lpnorm};
        op.lengths  = {2};
        op.padding  = {0};
        op.stride   = {1};
        op.lp_order = 2;

        std::vector<float> data{0.3, 0.2, 0.4, 0.1, 0.8, 0.5, 0.9, 0.1, 0.1, 0.7, 0.1, 0.6};
        auto l0 = mm->add_literal(migraphx::literal{s, data});
        mm->add_instruction(op, l0);
        p.compile(migraphx::ref::target{});
        auto result = p.eval({}).back();

        std::vector<float> results_vector;
        result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
        std::vector<float> gold{0.36055512754639896,
                                0.447213595499958,
                                0.4123105625617661,
                                0.9433981132056605,
                                1.0295630140987,
                                0.9055385138137417,
                                0.7071067811865475,
                                0.7071067811865475,
                                0.6082762530298219};
        EXPECT(migraphx::verify_range(results_vector, gold));
    }
}

Shucai Xiao's avatar
Shucai Xiao committed
2912
TEST_CASE(lrn_test)
2913
{
Paul's avatar
Paul committed
2914
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
2915
2916
2917
    auto* mm = p.get_main_module();
    migraphx::shape s{migraphx::shape::float_type, {1, 5, 1, 1}};
    auto l = mm->add_literal(migraphx::literal{s, {-2.0f, 1.0f, 0.f, 1.0f, 2.0f}});
2918
    mm->add_instruction(
Shucai Xiao's avatar
Shucai Xiao committed
2919
        migraphx::make_op("lrn", {{"alpha", 0.0001}, {"beta", 0.75}, {"bias", 1}, {"size", 5}}), l);
2920
    p.compile(migraphx::ref::target{});
2921
    auto result = p.eval({}).back();
Shucai Xiao's avatar
Shucai Xiao committed
2922
2923
2924
2925
2926
    std::vector<float> results_vector(5);
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
    std::vector<float> gold = {-2 / 1.000075, 1 / 1.00009, 0 / 1.000145, 1 / 1.00009, 2 / 1.000075};
    EXPECT(migraphx::verify_range(results_vector, gold));
}
Scott Thornton's avatar
Scott Thornton committed
2927

Shucai Xiao's avatar
Shucai Xiao committed
2928
2929
2930
2931
2932
2933
2934
2935
2936
2937
2938
2939
2940
TEST_CASE(max_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    migraphx::shape s{migraphx::shape::float_type, {3}};
    auto l0       = mm->add_literal(migraphx::literal{s, {1, 4, 3}});
    auto l1       = mm->add_literal(migraphx::literal{s, {2, 8, 6}});
    auto l2       = mm->add_literal(migraphx::literal{s, {7, 5, 9}});
    auto curr_max = mm->add_instruction(migraphx::make_op("max"), l0, l1);
    mm->add_instruction(migraphx::make_op("max"), curr_max, l2);
    p.compile(migraphx::ref::target{});
    auto result = p.eval({}).back();
    std::vector<float> results_vector(4);
2941
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
Shucai Xiao's avatar
Shucai Xiao committed
2942
2943
    std::vector<float> gold{7, 8, 9};
    EXPECT(migraphx::verify_range(results_vector, gold));
2944
2945
}

Shucai Xiao's avatar
Shucai Xiao committed
2946
TEST_CASE(maxpool_test)
2947
{
Paul's avatar
Paul committed
2948
    migraphx::program p;
2949
    auto* mm             = p.get_main_module();
2950
    std::vector<float> a = {
Shucai Xiao's avatar
Shucai Xiao committed
2951
2952
2953
2954
2955
2956
2957
2958
2959
2960
2961
2962
2963
2964
2965
2966
2967
2968
2969
2970
2971
2972
2973
2974
2975
2976
2977
2978
2979
2980
2981
2982
2983
2984
2985
2986
2987
2988
        -2.1314404,  -1.63041711, 1.54562736,  1.04625261,  -1.42931843, -0.48703974, 0.4065806,
        -0.1524526,  1.30775225,  0.45538983,  -0.06631992, -1.75332725, 1.33493888,  0.47327688,
        0.36873096,  1.18358743,  -0.34640595, 1.22098756,  0.01946825,  -0.20238149, 0.43348005,
        -0.67991608, -0.83041084, 0.93537551,  0.70241445,  -0.5654031,  -1.30899191, -0.26735824,
        -0.52444768, 1.99097753,  1.86504853,  -0.26506025, 0.26236168,  0.43763575,  0.95300823,
        -1.02733946, -0.74655169, -0.5374338,  -0.28901565, -0.59789604, 0.5310151,   0.99125904,
        0.40609556,  -1.57175648, 0.22031412,  1.45862222,  0.53217483,  1.39087725,  1.00170159,
        -0.87175864, -1.7204628,  -1.72008383, -0.38656762, -0.01443311, 1.46645272,  -1.39995027,
        0.22505587,  -0.43461126, -0.05511411, -0.79950953, -0.01439556, 0.08795211,  1.18943918,
        -0.84079367, -1.73383629, -0.55662078, -0.30626822, -0.67339015, 0.44179603,  0.54316711,
        0.40899998,  -0.27831686, -1.11900508, -0.0881724,  0.35483059,  2.36277103,  -0.04765317,
        -0.36865309, 0.73814237,  1.47151589,  1.36546791,  -0.32649881, -1.0517807,  2.24768877,
        0.68883753,  0.58646208,  -0.91017133, -0.50462508, -0.4013325,  -0.72348958, -0.47368807,
        0.35285577,  -1.01817429, -0.5152272,  0.60321307,  0.43521205,  -0.23733577, 0.66427642,
        0.82949388,  0.82443929,  0.71550399,  0.34561086,  0.68570769,  -0.40718508, -1.20350206,
        0.15793853,  -2.31013632, -0.07934658, -0.09348056, 0.36576006,  2.46601582,  0.11090943,
        0.9144392,   0.56759721,  -0.22112127, -0.21955389, 0.72474903,  -1.28448462, 1.53285873,
        0.37437943,  0.31409341,  1.95433736,  0.91620457,  0.86205518,  1.24365854,  0.19248386,
        0.22526583,  0.13462132,  -0.27561715, -2.06446075, -0.02306402, -1.38278747, 1.1411345,
        1.31293464,  -1.86041689, 1.06763375,  -0.26541466, 1.4545635,   1.11430049,  -0.66491818,
        0.87101674,  0.67768967,  -1.02062869, -1.05031872, -2.2764678,  -2.0200038,  0.37592548,
        -0.26701379, -0.83388507, 0.19403623,  1.00968623,  0.11020003,  1.16736257,  -1.1160326,
        0.47346735,  0.6126079,   -0.19135755, 1.33624589,  -0.29802522, -0.57873946, -1.06555879,
        -0.20686582, 1.36892557,  -0.19937795, 0.8649236,   -1.40126073, 1.53441942,  0.34682792,
        -1.31724346, -1.32898355, 2.40126371,  0.07845283,  1.35732043,  -0.63678312, 0.39429256,
        -1.36487007, -0.31026676, -0.44981545, -0.28994772, -0.14657612, -1.75206447, -0.70612341,
        1.20071781,  -1.64647579, -0.7133292,  0.88494766,  0.52119428,  -2.77387547, 2.07681108,
        -0.90133125, 0.2847338,   0.6174528,   -0.20616426, -0.64263535, -1.08496261, 0.54275119,
        -0.88503587, 0.6629802,   1.47319221,  -1.05829155, -0.97027361, -0.93187737, -1.39954746,
        -0.52359426, -0.14743951, 1.51522756,  0.2078452,   -1.28156149, -1.19363916, -0.78680223,
        -0.89094824, 1.30212069,  -0.77974445, -0.58411664, 0.48764706,  -0.67132682};
    std::vector<float> c = {1.33493888, 1.54562736, 1.22098756, 1.33493888, 1.18358743, 1.99097753,
                            1.00170159, 1.45862222, 1.39087725, 1.46645272, 1.18943918, -0.01443311,
                            1.47151589, 2.36277103, 2.24768877, 0.68883753, 0.82949388, 0.71550399,
                            1.95433736, 2.46601582, 1.53285873, 1.95433736, 1.06763375, 1.4545635,
                            1.33624589, 1.16736257, 0.6126079,  1.36892557, 2.40126371, 1.53441942,
                            0.52119428, 2.07681108, 0.88494766, 1.51522756, 0.54275119, 0.6629802};
    migraphx::shape a_shape{migraphx::shape::float_type, {2, 3, 6, 6}};
2989
    auto al = mm->add_literal(migraphx::literal{a_shape, a});
2990
2991
2992
2993
2994
2995
    mm->add_instruction(migraphx::make_op("pooling",
                                          {{"mode", migraphx::op::pooling_mode::max},
                                           {"padding", {0, 0}},
                                           {"stride", {2, 2}},
                                           {"lengths", {3, 2}}}),
                        al);
2996
    p.compile(migraphx::ref::target{});
2997
    auto result = p.eval({}).back();
Shucai Xiao's avatar
Shucai Xiao committed
2998
    std::vector<float> results_vector(36);
2999
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
Shucai Xiao's avatar
Shucai Xiao committed
3000
    EXPECT(migraphx::verify_range(results_vector, c));
Scott Thornton's avatar
Scott Thornton committed
3001
}
3002

Shucai Xiao's avatar
Shucai Xiao committed
3003
TEST_CASE(maxpool_test_1D_3D)
3004
{
Shucai Xiao's avatar
Shucai Xiao committed
3005
3006
3007
3008
3009
    // 1D case 1, input is 3D
    {
        migraphx::program p;
        auto* mm   = p.get_main_module();
        auto s     = migraphx::shape{migraphx::shape::float_type, {1, 3, 4}};
3010
        auto op    = migraphx::op::pooling{migraphx::op::pooling_mode::max};
Shucai Xiao's avatar
Shucai Xiao committed
3011
3012
3013
        op.lengths = {2};
        op.padding = {0};
        op.stride  = {1};
3014

Shucai Xiao's avatar
Shucai Xiao committed
3015
3016
3017
3018
3019
        std::vector<float> data{0.3, 0.2, 0.4, 0.1, 0.8, 0.5, 0.9, 0.1, 0.1, 0.7, 0.1, 0.6};
        auto l0 = mm->add_literal(migraphx::literal{s, data});
        mm->add_instruction(op, l0);
        p.compile(migraphx::ref::target{});
        auto result = p.eval({}).back();
3020

Shucai Xiao's avatar
Shucai Xiao committed
3021
3022
3023
3024
3025
        std::vector<float> results_vector;
        result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
        std::vector<float> gold{0.3, 0.4, 0.4, 0.8, 0.9, 0.9, 0.7, 0.7, 0.6};
        EXPECT(migraphx::verify_range(results_vector, gold));
    }
3026

Shucai Xiao's avatar
Shucai Xiao committed
3027
3028
3029
3030
3031
    // 1D case 2, input is 3D
    {
        migraphx::program p;
        auto* mm   = p.get_main_module();
        auto s     = migraphx::shape{migraphx::shape::float_type, {2, 2, 5}};
3032
        auto op    = migraphx::op::pooling{migraphx::op::pooling_mode::max};
Shucai Xiao's avatar
Shucai Xiao committed
3033
3034
3035
        op.lengths = {2};
        op.padding = {0};
        op.stride  = {2};
3036

Shucai Xiao's avatar
Shucai Xiao committed
3037
3038
3039
3040
3041
3042
3043
3044
3045
3046
3047
3048
3049
        std::vector<float> data{0.4975, -0.1226, -0.0405, -0.2861, -0.1227, -0.6186, -0.9618,
                                0.6022, -0.1912, 1.1925,  0.5493,  0.1692,  -0.8039, -1.0281,
                                0.9907, 0.477,   1.5001,  -1.1603, -1.361,  1.2556};
        auto l0 = mm->add_literal(migraphx::literal{s, data});
        mm->add_instruction(op, l0);
        p.compile(migraphx::ref::target{});
        auto result = p.eval({}).back();

        std::vector<float> results_vector;
        result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
        std::vector<float> gold{0.4975, -0.0405, -0.6186, 0.6022, 0.5493, -0.8039, 1.5001, -1.1603};
        EXPECT(migraphx::verify_range(results_vector, gold));
    }
3050

Shucai Xiao's avatar
Shucai Xiao committed
3051
3052
3053
3054
3055
    // 1D case 2, input is 3D, ceil mode
    {
        migraphx::program p;
        auto* mm     = p.get_main_module();
        auto s       = migraphx::shape{migraphx::shape::float_type, {2, 2, 5}};
3056
        auto op      = migraphx::op::pooling{migraphx::op::pooling_mode::max};
Shucai Xiao's avatar
Shucai Xiao committed
3057
3058
3059
3060
        op.lengths   = {2};
        op.padding   = {0};
        op.stride    = {2};
        op.ceil_mode = true;
3061

Shucai Xiao's avatar
Shucai Xiao committed
3062
3063
3064
3065
3066
3067
3068
        std::vector<float> data{0.4975, -0.1226, -0.0405, -0.2861, -0.1227, -0.6186, -0.9618,
                                0.6022, -0.1912, 1.1925,  0.5493,  0.1692,  -0.8039, -1.0281,
                                0.9907, 0.477,   1.5001,  -1.1603, -1.361,  1.2556};
        auto l0 = mm->add_literal(migraphx::literal{s, data});
        mm->add_instruction(op, l0);
        p.compile(migraphx::ref::target{});
        auto result = p.eval({}).back();
3069

Shucai Xiao's avatar
Shucai Xiao committed
3070
3071
3072
3073
3074
3075
3076
3077
3078
3079
3080
3081
3082
3083
3084
3085
        std::vector<float> results_vector;
        result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
        std::vector<float> gold{0.4975,
                                -0.0405,
                                -0.1227,
                                -0.6186,
                                0.6022,
                                1.1925,
                                0.5493,
                                -0.8039,
                                0.9907,
                                1.5001,
                                -1.1603,
                                1.2556};
        EXPECT(migraphx::verify_range(results_vector, gold));
    }
3086

Shucai Xiao's avatar
Shucai Xiao committed
3087
3088
3089
3090
3091
    // 3D, input is 5D
    {
        migraphx::program p;
        auto* mm   = p.get_main_module();
        auto s     = migraphx::shape{migraphx::shape::float_type, {2, 2, 3, 3, 3}};
3092
        auto op    = migraphx::op::pooling{migraphx::op::pooling_mode::max};
Shucai Xiao's avatar
Shucai Xiao committed
3093
3094
3095
3096
3097
3098
3099
3100
3101
3102
3103
3104
3105
3106
3107
3108
3109
3110
3111
3112
3113
3114
3115
3116
3117
3118
        op.lengths = {2, 2, 2};
        op.padding = {0, 0, 0};
        op.stride  = {2, 2, 2};

        std::vector<float> data{
            -2.8029, 0.5861,  0.7015,  0.1297,  -1.44,   -1.9472, 0.7812,  2.408,   -0.3145,
            0.3405,  -0.9146, 0.0624,  1.5064,  -0.8345, 1.7977,  1.8949,  1.0073,  -0.2102,
            -0.042,  -0.7146, 0.6227,  -0.5263, -2.2598, 0.1713,  0.449,   0.5303,  -0.8622,
            -0.5691, 0.907,   -0.0569, -1.5348, -0.4109, -0.1461, -0.5445, 0.4266,  0.2282,
            1.3655,  -2.1519, 0.6068,  -0.2001, -0.4702, 0.3864,  1.7083,  0.9096,  0.4286,
            -1.8866, 0.7034,  0.0293,  1.4587,  0.7672,  -2.8614, 0.8124,  -0.053,  1.0449,
            0.845,   -0.0131, 0.1139,  -0.859,  -1.2681, -0.6337, -0.4644, 0.1938,  0.2889,
            0.9035,  0.7118,  -0.5767, 0.4577,  -0.0549, 0.2237,  0.5756,  0.0677,  -0.0223,
            -0.329,  0.2364,  2.7666,  -0.7417, -1.3196, -0.2655, 0.1698,  -0.1777, -0.9427,
            2.6859,  -0.7501, 0.5175,  1.0029,  -2.6436, -0.4388, -1.2348, -0.1539, -0.6229,
            -0.4136, 0.5085,  0.4136,  -0.6439, -1.1953, -0.406,  -0.0195, 0.1869,  -0.8664,
            1.1364,  0.5041,  0.0647,  0.1941,  -1.0819, -0.4629, -0.5107, 0.3612,  -0.3583};
        auto l0 = mm->add_literal(migraphx::literal{s, data});
        mm->add_instruction(op, l0);
        p.compile(migraphx::ref::target{});
        auto result = p.eval({}).back();
        std::vector<float> results_vector;
        result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
        std::vector<float> gold{1.5064, 1.3655, 0.9035, 2.6859};
        EXPECT(migraphx::verify_range(results_vector, gold));
    }
3119
3120
}

Shucai Xiao's avatar
Shucai Xiao committed
3121
TEST_CASE(min_test)
kahmed10's avatar
kahmed10 committed
3122
3123
{
    migraphx::program p;
3124
    auto* mm = p.get_main_module();
Shucai Xiao's avatar
Shucai Xiao committed
3125
3126
3127
3128
3129
3130
    migraphx::shape s{migraphx::shape::float_type, {3}};
    auto l0       = mm->add_literal(migraphx::literal{s, {1, 4, 3}});
    auto l1       = mm->add_literal(migraphx::literal{s, {2, 8, 6}});
    auto l2       = mm->add_literal(migraphx::literal{s, {7, 5, 9}});
    auto curr_min = mm->add_instruction(migraphx::make_op("min"), l0, l1);
    mm->add_instruction(migraphx::make_op("min"), curr_min, l2);
3131
    p.compile(migraphx::ref::target{});
3132
    auto result = p.eval({}).back();
Shucai Xiao's avatar
Shucai Xiao committed
3133
    std::vector<float> results_vector(4);
kahmed10's avatar
kahmed10 committed
3134
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
Shucai Xiao's avatar
Shucai Xiao committed
3135
    std::vector<float> gold{1, 4, 3};
kahmed10's avatar
kahmed10 committed
3136
3137
3138
    EXPECT(migraphx::verify_range(results_vector, gold));
}

Shucai Xiao's avatar
Shucai Xiao committed
3139
TEST_CASE(mul_test)
kahmed10's avatar
kahmed10 committed
3140
3141
{
    migraphx::program p;
3142
    auto* mm = p.get_main_module();
Shucai Xiao's avatar
Shucai Xiao committed
3143
    migraphx::shape s{migraphx::shape::float_type, {3}};
3144
3145
    std::vector<float> data1{-1, 0, 1};
    std::vector<float> data2{1, 2, 3};
Shucai Xiao's avatar
Shucai Xiao committed
3146
3147
3148
    auto l1 = mm->add_literal(migraphx::literal{s, {-1, 0, 1}});
    auto l2 = mm->add_literal(migraphx::literal{s, {1, 2, 3}});
    mm->add_instruction(migraphx::make_op("mul"), l1, l2);
3149
    p.compile(migraphx::ref::target{});
kahmed10's avatar
kahmed10 committed
3150
    auto result = p.eval({}).back();
Shucai Xiao's avatar
Shucai Xiao committed
3151
    std::vector<float> results_vector(3);
kahmed10's avatar
kahmed10 committed
3152
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
3153
3154
3155
3156
3157
    std::vector<float> gold(data1.size());
    std::transform(
        data1.begin(), data1.end(), data2.begin(), gold.begin(), [](float n1, float n2) -> float {
            return n1 * n2;
        });
kahmed10's avatar
kahmed10 committed
3158
3159
3160
    EXPECT(migraphx::verify_range(results_vector, gold));
}

turneram's avatar
turneram committed
3161
3162
3163
3164
3165
3166
3167
3168
3169
3170
3171
3172
3173
3174
3175
3176
3177
3178
3179
3180
3181
3182
3183
3184
3185
3186
3187
3188
3189
3190
3191
3192
3193
3194
3195
3196
3197
3198
3199
3200
3201
3202
3203
3204
3205
3206
3207
3208
3209
3210
TEST_CASE(multinomial_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();

    size_t sample_size = 100000;
    float seed         = 0.0f;
    std::mt19937 gen(seed);
    std::uniform_real_distribution<> dis(0.0, 1.0);
    std::vector<float> rand_samples(sample_size);
    std::generate(rand_samples.begin(), rand_samples.end(), [&]() { return dis(gen); });
    migraphx::shape rs{migraphx::shape::float_type, {1, sample_size}};
    auto rs_lit = mm->add_literal(migraphx::literal{rs, rand_samples});

    migraphx::shape s{migraphx::shape::float_type, {1, 5}};
    std::vector<int> dist{15, 25, 15, 25, 20};
    std::vector<float> data(5);
    std::transform(dist.begin(), dist.end(), data.begin(), [&](auto d) { return std::log(d); });
    auto input = mm->add_literal(migraphx::literal(s, data));

    auto maxes = mm->add_instruction(migraphx::make_op("reduce_max", {{"axes", {1}}}), input);
    auto mb_maxes =
        mm->add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", {1, 5}}}), maxes);
    auto cdf = mm->add_instruction(migraphx::make_op("sub"), input, mb_maxes);
    cdf      = mm->add_instruction(migraphx::make_op("exp"), cdf);
    cdf      = mm->add_instruction(
        migraphx::make_op("prefix_scan_sum", {{"axis", 1}, {"exclusive", false}}), cdf);

    mm->add_instruction(migraphx::make_op("multinomial"), cdf, rs_lit);
    p.compile(migraphx::ref::target{});
    auto result = p.eval({}).back();
    std::vector<int32_t> result_vec(sample_size);
    result.visit([&](auto output) { result_vec.assign(output.begin(), output.end()); });

    std::vector<int> res_dist(5, 0);
    for(auto& r : result_vec)
        res_dist[r]++;
    auto dist_sum     = std::accumulate(dist.begin(), dist.end(), 0);
    auto res_dist_sum = std::accumulate(res_dist.begin(), res_dist.end(), 0);
    std::vector<float> norm(5);
    std::vector<float> res_norm(5);
    std::transform(dist.begin(), dist.end(), norm.begin(), [&](auto n) {
        return static_cast<double>(n) / dist_sum;
    });
    std::transform(res_dist.begin(), res_dist.end(), res_norm.begin(), [&](auto n) {
        return static_cast<double>(n) / res_dist_sum;
    });
    EXPECT(migraphx::verify_range(norm, res_norm, 100000));
}

Shucai Xiao's avatar
Shucai Xiao committed
3211
TEST_CASE(neg_test)
kahmed10's avatar
kahmed10 committed
3212
3213
{
    migraphx::program p;
3214
    auto* mm = p.get_main_module();
Shucai Xiao's avatar
Shucai Xiao committed
3215
3216
3217
3218
3219
    migraphx::shape s{migraphx::shape::float_type, {2, 3}};
    std::vector<float> data = {1.0f, 1.3f, -1.2f, 0.0f, -100.f, 200.f};
    auto input              = mm->add_literal(migraphx::literal(s, data));
    auto ret                = mm->add_instruction(migraphx::make_op("neg"), input);
    mm->add_return({ret});
3220
    p.compile(migraphx::ref::target{});
kahmed10's avatar
kahmed10 committed
3221
    auto result = p.eval({}).back();
Shucai Xiao's avatar
Shucai Xiao committed
3222
3223
    std::vector<float> result_vector;
    result.visit([&](auto output) { result_vector.assign(output.begin(), output.end()); });
3224
3225
    std::vector<float> gold = data;
    std::transform(gold.begin(), gold.end(), gold.begin(), std::negate<float>());
Shucai Xiao's avatar
Shucai Xiao committed
3226
    EXPECT(migraphx::verify_range(result_vector, gold));
kahmed10's avatar
kahmed10 committed
3227
3228
}

3229
3230
3231
3232
3233
3234
3235
3236
3237
3238
3239
3240
3241
3242
3243
3244
3245
3246
3247
3248
3249
3250
3251
3252
3253
3254
3255
3256
3257
3258
3259
3260
3261
3262
3263
3264
3265
3266
3267
3268
3269
3270
3271
3272
3273
3274
3275
3276
3277
3278
3279
3280
3281
3282
TEST_CASE(nms_not_center_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    migraphx::shape boxes_s{migraphx::shape::float_type, {1, 6, 4}};
    std::vector<float> boxes_vec = {1.0, 1.0,  0.0, 0.0,  0.0, 0.1,   1.0, 1.1,
                                    0.0, 0.9,  1.0, -0.1, 0.0, 10.0,  1.0, 11.0,
                                    1.0, 10.1, 0.0, 11.1, 1.0, 101.0, 0.0, 100.0};

    migraphx::shape scores_s{migraphx::shape::float_type, {1, 1, 6}};
    std::vector<float> scores_vec = {0.9, 0.75, 0.6, 0.95, 0.5, 0.3};

    auto boxes_l         = mm->add_literal(migraphx::literal(boxes_s, boxes_vec));
    auto scores_l        = mm->add_literal(migraphx::literal(scores_s, scores_vec));
    auto max_out_l       = mm->add_literal(int64_t{4});
    auto iou_threshold   = mm->add_literal(0.5f);
    auto score_threshold = mm->add_literal(0.0f);

    auto r = mm->add_instruction(migraphx::make_op("nonmaxsuppression"),
                                 boxes_l,
                                 scores_l,
                                 max_out_l,
                                 iou_threshold,
                                 score_threshold);
    mm->add_return({r});

    p.compile(migraphx::ref::target{});
    auto output = p.eval({}).back();
    std::vector<int64_t> result;
    output.visit([&](auto out) { result.assign(out.begin(), out.end()); });
    std::vector<int64_t> gold = {0, 0, 3, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0};
    EXPECT(migraphx::verify_range(result, gold));
}

TEST_CASE(nms_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    migraphx::shape boxes_s{migraphx::shape::float_type, {1, 6, 4}};
    std::vector<float> boxes_vec = {0.5, 0.5,  1.0, 1.0, 0.5, 0.6,  1.0, 1.0, 0.5, 0.4,   1.0, 1.0,
                                    0.5, 10.5, 1.0, 1.0, 0.5, 10.6, 1.0, 1.0, 0.5, 100.5, 1.0, 1.0};

    migraphx::shape scores_s{migraphx::shape::float_type, {1, 1, 6}};
    std::vector<float> scores_vec = {0.9, 0.75, 0.6, 0.95, 0.5, 0.3};

    auto boxes_l         = mm->add_literal(migraphx::literal(boxes_s, boxes_vec));
    auto scores_l        = mm->add_literal(migraphx::literal(scores_s, scores_vec));
    auto max_out_l       = mm->add_literal(int64_t{4});
    auto iou_threshold   = mm->add_literal(0.5f);
    auto score_threshold = mm->add_literal(0.0f);

    auto r = mm->add_instruction(migraphx::make_op("nonmaxsuppression", {{"center_point_box", 1}}),
                                 boxes_l,
                                 scores_l,
3283
3284
3285
3286
3287
3288
3289
3290
3291
3292
3293
3294
3295
3296
3297
3298
3299
3300
3301
3302
3303
3304
3305
3306
3307
3308
3309
3310
3311
3312
3313
3314
3315
3316
3317
3318
3319
3320
3321
3322
3323
3324
3325
3326
3327
3328
3329
3330
3331
3332
3333
3334
3335
3336
3337
3338
3339
3340
3341
3342
3343
3344
3345
3346
3347
3348
3349
3350
3351
3352
3353
3354
3355
3356
                                 max_out_l,
                                 iou_threshold,
                                 score_threshold);
    mm->add_return({r});

    p.compile(migraphx::ref::target{});
    auto output = p.eval({}).back();
    std::vector<int64_t> result;
    output.visit([&](auto out) { result.assign(out.begin(), out.end()); });
    std::vector<int64_t> gold = {0, 0, 3, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0};
    EXPECT(migraphx::verify_range(result, gold));
}

TEST_CASE(nms_transpose1_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    migraphx::shape boxes_s{migraphx::shape::float_type, {1, 4, 6}};
    std::vector<float> boxes_vec = {
        0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.6, 0.4, 10.5, 10.6, 100.5,
        1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0,  1.0,  1.0,
    };

    migraphx::shape scores_s{migraphx::shape::float_type, {1, 1, 6}};
    std::vector<float> scores_vec = {0.9, 0.75, 0.6, 0.95, 0.5, 0.3};

    auto t_boxes_l       = mm->add_literal(migraphx::literal(boxes_s, boxes_vec));
    auto scores_l        = mm->add_literal(migraphx::literal(scores_s, scores_vec));
    auto max_out_l       = mm->add_literal(int64_t{4});
    auto iou_threshold   = mm->add_literal(0.5f);
    auto score_threshold = mm->add_literal(0.0f);

    auto transpose_boxes = mm->add_instruction(
        migraphx::make_op("transpose", {{"permutation", {0, 2, 1}}}), t_boxes_l);
    auto r = mm->add_instruction(migraphx::make_op("nonmaxsuppression", {{"center_point_box", 1}}),
                                 transpose_boxes,
                                 scores_l,
                                 max_out_l,
                                 iou_threshold,
                                 score_threshold);
    mm->add_return({r});

    p.compile(migraphx::ref::target{});
    auto output = p.eval({}).back();
    std::vector<int64_t> result;
    output.visit([&](auto out) { result.assign(out.begin(), out.end()); });
    std::vector<int64_t> gold = {0, 0, 3, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0};
    EXPECT(migraphx::verify_range(result, gold));
}

TEST_CASE(nms_transpose2_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    migraphx::shape boxes_s{migraphx::shape::float_type, {4, 1, 6}};
    std::vector<float> boxes_vec = {
        0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5, 0.6, 0.4, 10.5, 10.6, 100.5,
        1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0,  1.0,  1.0,
    };

    migraphx::shape scores_s{migraphx::shape::float_type, {1, 1, 6}};
    std::vector<float> scores_vec = {0.9, 0.75, 0.6, 0.95, 0.5, 0.3};

    auto t_boxes_l       = mm->add_literal(migraphx::literal(boxes_s, boxes_vec));
    auto scores_l        = mm->add_literal(migraphx::literal(scores_s, scores_vec));
    auto max_out_l       = mm->add_literal(int64_t{4});
    auto iou_threshold   = mm->add_literal(0.5f);
    auto score_threshold = mm->add_literal(0.0f);

    auto transpose_boxes = mm->add_instruction(
        migraphx::make_op("transpose", {{"permutation", {1, 2, 0}}}), t_boxes_l);
    auto r = mm->add_instruction(migraphx::make_op("nonmaxsuppression", {{"center_point_box", 1}}),
                                 transpose_boxes,
                                 scores_l,
3357
3358
3359
3360
3361
3362
3363
3364
3365
3366
3367
3368
3369
                                 max_out_l,
                                 iou_threshold,
                                 score_threshold);
    mm->add_return({r});

    p.compile(migraphx::ref::target{});
    auto output = p.eval({}).back();
    std::vector<int64_t> result;
    output.visit([&](auto out) { result.assign(out.begin(), out.end()); });
    std::vector<int64_t> gold = {0, 0, 3, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0};
    EXPECT(migraphx::verify_range(result, gold));
}

Shucai Xiao's avatar
Shucai Xiao committed
3370
3371
3372
3373
3374
3375
3376
3377
3378
3379
3380
3381
3382
3383
3384
3385
3386
3387
3388
TEST_CASE(nonzero_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    migraphx::shape s{migraphx::shape::float_type, {2, 2, 3}};
    std::vector<float> data = {
        1.0f, 1.3f, 0.0f, -1.2f, 0.0f, -100.f, 200.f, 0.0f, 0.1f, 0.2f, 0.0f, 0.5f};
    auto input = mm->add_literal(migraphx::literal(s, data));
    auto ret   = mm->add_instruction(migraphx::make_op("nonzero"), input);
    mm->add_return({ret});
    p.compile(migraphx::ref::target{});
    auto result = p.eval({}).back();
    std::vector<int64_t> result_vector;
    result.visit([&](auto output) { result_vector.assign(output.begin(), output.end()); });
    std::vector<int64_t> gold = {0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0,
                                 1, 1, 0, 0, 0, 0, 0, 1, 0, 2, 0, 2, 0, 2, 0, 0, 0, 0};
    EXPECT(migraphx::verify_range(result_vector, gold));
}

Shucai Xiao's avatar
Shucai Xiao committed
3389
TEST_CASE(not_test)
3390
{
Shucai Xiao's avatar
Shucai Xiao committed
3391
    // int32
3392
    {
Paul's avatar
Paul committed
3393
        migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
3394
3395
        auto* mm = p.get_main_module();
        migraphx::shape s{migraphx::shape::int32_type, {4}};
3396
3397
        std::vector<float> data{0, 8, 1, -32};
        auto l1 = mm->add_literal(migraphx::literal{s, data});
Shucai Xiao's avatar
Shucai Xiao committed
3398
        mm->add_instruction(migraphx::make_op("not"), l1);
3399
        p.compile(migraphx::ref::target{});
3400
        auto result = p.eval({}).back();
Shucai Xiao's avatar
Shucai Xiao committed
3401
3402
        std::vector<char> results_vector;
        result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
3403
        std::vector<char> gold{1, 0, 0, 0};
Shucai Xiao's avatar
Shucai Xiao committed
3404
        EXPECT(migraphx::verify_range(results_vector, gold));
3405
    }
Shucai Xiao's avatar
Shucai Xiao committed
3406
3407

    // bool
3408
    {
Shucai Xiao's avatar
Shucai Xiao committed
3409
3410
3411
        migraphx::program p;
        auto* mm = p.get_main_module();
        migraphx::shape s{migraphx::shape::bool_type, {4}};
3412
        std::vector<bool> data{false, false, true, true};
Shucai Xiao's avatar
Shucai Xiao committed
3413
3414
        auto l1 = mm->add_literal(migraphx::literal{s, {0, 0, 1, 1}});
        mm->add_instruction(migraphx::make_op("not"), l1);
3415
        p.compile(migraphx::ref::target{});
Shucai Xiao's avatar
Shucai Xiao committed
3416
3417
3418
        auto result = p.eval({}).back();
        std::vector<char> results_vector;
        result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
3419
3420
        std::vector<bool> gold(data.size());
        std::transform(data.begin(), data.end(), gold.begin(), [](bool n) -> bool { return !n; });
Paul's avatar
Paul committed
3421
        EXPECT(migraphx::verify_range(results_vector, gold));
3422
    }
3423
3424
}

Shucai Xiao's avatar
Shucai Xiao committed
3425
TEST_CASE(pad_test)
Khalique's avatar
Khalique committed
3426
3427
{
    migraphx::program p;
3428
    auto* mm = p.get_main_module();
Khalique's avatar
Khalique committed
3429
    migraphx::shape s{migraphx::shape::float_type, {2, 2}};
Shucai Xiao's avatar
Shucai Xiao committed
3430
3431
    auto l0 = mm->add_literal(migraphx::literal{s, {1, 2, 3, 4}});
    mm->add_instruction(migraphx::make_op("pad", {{"pads", {1, 1, 1, 1}}}), l0);
3432
    p.compile(migraphx::ref::target{});
3433
    auto result = p.eval({}).back();
Shucai Xiao's avatar
Shucai Xiao committed
3434
    std::vector<float> results_vector(16);
Khalique's avatar
Khalique committed
3435
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
Shucai Xiao's avatar
Shucai Xiao committed
3436
    std::vector<float> gold{0, 0, 0, 0, 0, 1, 2, 0, 0, 3, 4, 0, 0, 0, 0, 0};
Khalique's avatar
Khalique committed
3437
3438
3439
    EXPECT(migraphx::verify_range(results_vector, gold));
}

Shucai Xiao's avatar
Shucai Xiao committed
3440
TEST_CASE(pad_test_highest_half)
3441
3442
{
    migraphx::program p;
3443
    auto* mm = p.get_main_module();
Shucai Xiao's avatar
Shucai Xiao committed
3444
3445
3446
3447
3448
3449
    migraphx::shape s{migraphx::shape::half_type, {2, 2}};
    auto l0 = mm->add_literal(migraphx::literal{s, {1, 2, 3, 4}});
    mm->add_instruction(
        migraphx::make_op("pad",
                          {{"pads", {1, 1, 1, 1}}, {"value", std::numeric_limits<float>::max()}}),
        l0);
3450
    p.compile(migraphx::ref::target{});
3451
    auto result = p.eval({}).back();
Shucai Xiao's avatar
Shucai Xiao committed
3452
    std::vector<float> results_vector(16);
3453
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
Shucai Xiao's avatar
Shucai Xiao committed
3454
3455
    const float x = std::numeric_limits<migraphx::half>::max();
    std::vector<float> gold{x, x, x, x, x, 1, 2, x, x, 3, 4, x, x, x, x, x};
3456
3457
3458
    EXPECT(migraphx::verify_range(results_vector, gold));
}

Shucai Xiao's avatar
Shucai Xiao committed
3459
TEST_CASE(pad_test_lowest_half)
3460
3461
{
    migraphx::program p;
3462
    auto* mm = p.get_main_module();
Shucai Xiao's avatar
Shucai Xiao committed
3463
3464
3465
3466
3467
3468
    migraphx::shape s{migraphx::shape::half_type, {2, 2}};
    auto l0 = mm->add_literal(migraphx::literal{s, {1, 2, 3, 4}});
    mm->add_instruction(
        migraphx::make_op(
            "pad", {{"pads", {1, 1, 1, 1}}, {"value", std::numeric_limits<float>::lowest()}}),
        l0);
3469
    p.compile(migraphx::ref::target{});
3470
    auto result = p.eval({}).back();
Shucai Xiao's avatar
Shucai Xiao committed
3471
    std::vector<float> results_vector(16);
3472
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
Shucai Xiao's avatar
Shucai Xiao committed
3473
3474
    const float x = std::numeric_limits<migraphx::half>::lowest();
    std::vector<float> gold{x, x, x, x, x, 1, 2, x, x, 3, 4, x, x, x, x, x};
3475
3476
3477
    EXPECT(migraphx::verify_range(results_vector, gold));
}

3478
3479
3480
3481
3482
3483
3484
3485
3486
3487
3488
3489
3490
3491
3492
3493
3494
3495
3496
3497
TEST_CASE(pointwise_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    migraphx::shape s{migraphx::shape::float_type, {3}};
    auto l1  = mm->add_literal(migraphx::literal{s, {-1, 0, 1}});
    auto l2  = mm->add_literal(migraphx::literal{s, {1, 2, 3}});
    auto* pm = p.create_module("pointwise");
    auto x1  = pm->add_parameter("x1", {migraphx::shape::float_type});
    auto x2  = pm->add_parameter("x2", {migraphx::shape::float_type});
    pm->add_instruction(migraphx::make_op("add"), x1, x2);
    mm->add_instruction(migraphx::make_op("pointwise"), {l1, l2}, {pm});
    p.compile(migraphx::ref::target{});
    auto result = p.eval({}).back();
    std::vector<float> results_vector(3);
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
    std::vector<float> gold = {0, 2, 4};
    EXPECT(migraphx::verify_range(results_vector, gold));
}

Shucai Xiao's avatar
Shucai Xiao committed
3498
TEST_CASE(pow_test)
Khalique's avatar
Khalique committed
3499
3500
{
    migraphx::program p;
3501
    auto* mm = p.get_main_module();
Shucai Xiao's avatar
Shucai Xiao committed
3502
    migraphx::shape s{migraphx::shape::float_type, {3}};
3503
3504
3505
    std::vector<float> data = {1, 2, 3};
    auto b                  = mm->add_literal(migraphx::literal{s, data});
    auto e                  = mm->add_literal(migraphx::literal{s, data});
Shucai Xiao's avatar
Shucai Xiao committed
3506
    mm->add_instruction(migraphx::make_op("pow"), b, e);
3507
    p.compile(migraphx::ref::target{});
3508
    auto result = p.eval({}).back();
Shucai Xiao's avatar
Shucai Xiao committed
3509
    std::vector<float> results_vector;
Khalique's avatar
Khalique committed
3510
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
3511
3512
3513
    std::vector<float> gold = data;
    std::transform(
        gold.begin(), gold.end(), gold.begin(), [](float n) -> float { return std::pow(n, n); });
Khalique's avatar
Khalique committed
3514
3515
3516
    EXPECT(migraphx::verify_range(results_vector, gold));
}

turneram's avatar
turneram committed
3517
3518
3519
3520
3521
3522
3523
3524
3525
3526
3527
3528
3529
3530
3531
3532
3533
3534
3535
3536
3537
3538
3539
3540
3541
3542
3543
3544
3545
3546
3547
3548
3549
3550
3551
3552
3553
3554
3555
3556
3557
3558
3559
3560
3561
3562
3563
3564
3565
3566
3567
3568
3569
3570
3571
3572
3573
3574
3575
3576
3577
3578
3579
3580
3581
3582
3583
3584
3585
3586
3587
3588
3589
3590
3591
3592
3593
3594
3595
3596
3597
3598
3599
3600
3601
3602
3603
3604
3605
3606
3607
3608
3609
3610
3611
3612
3613
3614
3615
3616
3617
3618
3619
3620
3621
3622
3623
3624
3625
3626
3627
3628
3629
3630
3631
3632
3633
3634
3635
3636
3637
3638
3639
3640
3641
3642
3643
3644
3645
3646
3647
3648
3649
3650
3651
3652
3653
3654
3655
3656
3657
3658
3659
3660
3661
3662
3663
3664
3665
3666
3667
3668
3669
3670
3671
3672
3673
3674
3675
3676
3677
3678
3679
3680
3681
3682
3683
3684
3685
3686
3687
3688
3689
3690
3691
3692
3693
3694
3695
3696
3697
3698
3699
3700
3701
3702
3703
3704
3705
3706
3707
3708
3709
3710
3711
3712
3713
3714
3715
3716
3717
3718
3719
3720
3721
3722
3723
3724
3725
3726
3727
3728
3729
3730
3731
3732
3733
3734
3735
3736
3737
3738
3739
3740
3741
3742
3743
3744
3745
3746
3747
3748
3749
3750
3751
3752
3753
3754
3755
3756
3757
3758
3759
3760
3761
3762
3763
3764
3765
3766
3767
3768
3769
3770
3771
3772
3773
3774
3775
3776
3777
3778
3779
3780
3781
3782
3783
3784
3785
3786
3787
3788
3789
3790
3791
3792
3793
3794
3795
3796
3797
3798
3799
3800
3801
3802
3803
3804
3805
3806
3807
3808
3809
3810
3811
3812
3813
3814
3815
3816
3817
3818
3819
3820
3821
3822
3823
3824
3825
3826
3827
3828
3829
3830
3831
3832
3833
3834
3835
3836
3837
3838
3839
3840
3841
3842
3843
3844
3845
3846
3847
3848
3849
3850
3851
3852
3853
3854
3855
3856
3857
3858
3859
3860
3861
3862
3863
3864
3865
3866
3867
3868
3869
3870
3871
3872
3873
3874
3875
3876
3877
3878
3879
3880
3881
TEST_CASE(prefix_scan_sum_1d)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    migraphx::shape s{migraphx::shape::float_type, {6}};
    auto input = migraphx::literal{s, {1, 2, 3, 4, 5, 6}};
    auto l0    = mm->add_literal(input);
    mm->add_instruction(migraphx::make_op("prefix_scan_sum", {{"axis", 0}, {"exclusive", false}}),
                        l0);
    p.compile(migraphx::ref::target{});
    auto result = p.eval({}).back();
    std::vector<float> results_vector;
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
    std::vector<float> gold{1.0, 3.0, 6.0, 10.0, 15.0, 21.0};
    EXPECT(results_vector == gold);
}

TEST_CASE(prefix_scan_sum_2d)
{
    {
        migraphx::program p;
        auto* mm = p.get_main_module();
        migraphx::shape s{migraphx::shape::float_type, {3, 3}};
        auto input = migraphx::literal{s, {1, 2, 3, 1, 2, 3, 1, 2, 3}};
        auto l0    = mm->add_literal(input);
        mm->add_instruction(
            migraphx::make_op("prefix_scan_sum", {{"axis", 0}, {"exclusive", false}}), l0);
        p.compile(migraphx::ref::target{});
        auto result = p.eval({}).back();
        std::vector<float> results_vector;
        result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
        std::vector<float> gold{1.0, 2.0, 3.0, 2.0, 4.0, 6.0, 3.0, 6.0, 9.0};
        EXPECT(results_vector == gold);
    }

    {
        migraphx::program p;
        auto* mm = p.get_main_module();
        migraphx::shape s{migraphx::shape::float_type, {3, 3}};
        auto input = migraphx::literal{s, {1, 2, 3, 1, 2, 3, 1, 2, 3}};
        auto l0    = mm->add_literal(input);
        mm->add_instruction(
            migraphx::make_op("prefix_scan_sum", {{"axis", 1}, {"exclusive", false}}), l0);
        p.compile(migraphx::ref::target{});
        auto result = p.eval({}).back();
        std::vector<float> results_vector;
        result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
        std::vector<float> gold{1.0, 3.0, 6.0, 1.0, 3.0, 6.0, 1.0, 3.0, 6.0};
        EXPECT(results_vector == gold);
    }
}

TEST_CASE(prefix_scan_sum_3d)
{
    {
        migraphx::program p;
        auto* mm = p.get_main_module();
        migraphx::shape s{migraphx::shape::float_type, {2, 3, 3}};
        auto input = migraphx::literal{s, {1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3}};
        auto l0    = mm->add_literal(input);
        mm->add_instruction(
            migraphx::make_op("prefix_scan_sum", {{"axis", 0}, {"exclusive", false}}), l0);
        p.compile(migraphx::ref::target{});
        auto result = p.eval({}).back();
        std::vector<float> results_vector;
        result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
        std::vector<float> gold{1.0,
                                2.0,
                                3.0,
                                1.0,
                                2.0,
                                3.0,
                                1.0,
                                2.0,
                                3.0,
                                2.0,
                                4.0,
                                6.0,
                                2.0,
                                4.0,
                                6.0,
                                2.0,
                                4.0,
                                6.0};
        EXPECT(results_vector == gold);
    }

    {
        migraphx::program p;
        auto* mm = p.get_main_module();
        migraphx::shape s{migraphx::shape::float_type, {2, 3, 3}};
        auto input = migraphx::literal{s, {1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3}};
        auto l0    = mm->add_literal(input);
        mm->add_instruction(
            migraphx::make_op("prefix_scan_sum", {{"axis", 1}, {"exclusive", false}}), l0);
        p.compile(migraphx::ref::target{});
        auto result = p.eval({}).back();
        std::vector<float> results_vector;
        result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
        std::vector<float> gold{1.0,
                                2.0,
                                3.0,
                                2.0,
                                4.0,
                                6.0,
                                3.0,
                                6.0,
                                9.0,
                                1.0,
                                2.0,
                                3.0,
                                2.0,
                                4.0,
                                6.0,
                                3.0,
                                6.0,
                                9.0};
        EXPECT(results_vector == gold);
    }

    {
        migraphx::program p;
        auto* mm = p.get_main_module();
        migraphx::shape s{migraphx::shape::float_type, {2, 3, 3}};
        auto input = migraphx::literal{s, {1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3}};
        auto l0    = mm->add_literal(input);
        mm->add_instruction(
            migraphx::make_op("prefix_scan_sum", {{"axis", 2}, {"exclusive", false}}), l0);
        p.compile(migraphx::ref::target{});
        auto result = p.eval({}).back();
        std::vector<float> results_vector;
        result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
        std::vector<float> gold{1.0,
                                3.0,
                                6.0,
                                1.0,
                                3.0,
                                6.0,
                                1.0,
                                3.0,
                                6.0,
                                1.0,
                                3.0,
                                6.0,
                                1.0,
                                3.0,
                                6.0,
                                1.0,
                                3.0,
                                6.0};
        EXPECT(results_vector == gold);
    }
}

TEST_CASE(prefix_scan_sum_exclusive)
{
    {
        migraphx::program p;
        auto* mm = p.get_main_module();
        migraphx::shape s{migraphx::shape::float_type, {8}};
        auto input = migraphx::literal{s, {1, 2, 3, 4, 1, 2, 3, 4}};
        auto l0    = mm->add_literal(input);
        mm->add_instruction(
            migraphx::make_op("prefix_scan_sum", {{"axis", 0}, {"exclusive", true}}), l0);
        p.compile(migraphx::ref::target{});
        auto result = p.eval({}).back();
        std::vector<float> results_vector;
        result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
        std::vector<float> gold{0.0, 1.0, 3.0, 6.0, 10.0, 11.0, 13.0, 16.0};
        EXPECT(results_vector == gold);
    }

    {
        migraphx::program p;
        auto* mm = p.get_main_module();
        migraphx::shape s{migraphx::shape::float_type, {2, 3, 3}};
        auto input = migraphx::literal{s, {1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3}};
        auto l0    = mm->add_literal(input);
        mm->add_instruction(
            migraphx::make_op("prefix_scan_sum", {{"axis", 1}, {"exclusive", true}}), l0);
        p.compile(migraphx::ref::target{});
        auto result = p.eval({}).back();
        std::vector<float> results_vector;
        result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
        std::vector<float> gold{0.0,
                                0.0,
                                0.0,
                                1.0,
                                2.0,
                                3.0,
                                2.0,
                                4.0,
                                6.0,
                                0.0,
                                0.0,
                                0.0,
                                1.0,
                                2.0,
                                3.0,
                                2.0,
                                4.0,
                                6.0};
        EXPECT(results_vector == gold);
    }
}

TEST_CASE(prefix_scan_sum_exclusive_reverse)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    migraphx::shape s{migraphx::shape::float_type, {6}};
    auto input = migraphx::literal{s, {1, 2, 3, 4, 5, 6}};
    auto l0    = mm->add_literal(input);
    mm->add_instruction(
        migraphx::make_op("prefix_scan_sum", {{"axis", 0}, {"exclusive", true}, {"reverse", true}}),
        l0);
    p.compile(migraphx::ref::target{});
    auto result = p.eval({}).back();
    std::vector<float> results_vector;
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
    std::vector<float> gold{20.0, 18.0, 15.0, 11.0, 6.0, 0.0};
    EXPECT(results_vector == gold);
}

TEST_CASE(prefix_scan_sum_negative_axis)
{
    {
        migraphx::program p;
        auto* mm = p.get_main_module();
        migraphx::shape s{migraphx::shape::float_type, {2, 3, 3}};
        auto input = migraphx::literal{s, {1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3}};
        auto l0    = mm->add_literal(input);
        mm->add_instruction(
            migraphx::make_op("prefix_scan_sum", {{"axis", -3}, {"exclusive", false}}), l0);
        p.compile(migraphx::ref::target{});
        auto result = p.eval({}).back();
        std::vector<float> results_vector;
        result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
        std::vector<float> gold{1.0,
                                2.0,
                                3.0,
                                1.0,
                                2.0,
                                3.0,
                                1.0,
                                2.0,
                                3.0,
                                2.0,
                                4.0,
                                6.0,
                                2.0,
                                4.0,
                                6.0,
                                2.0,
                                4.0,
                                6.0};
        EXPECT(results_vector == gold);
    }

    {
        migraphx::program p;
        auto* mm = p.get_main_module();
        migraphx::shape s{migraphx::shape::float_type, {2, 3, 3}};
        auto input = migraphx::literal{s, {1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3}};
        auto l0    = mm->add_literal(input);
        mm->add_instruction(
            migraphx::make_op("prefix_scan_sum", {{"axis", -2}, {"exclusive", false}}), l0);
        p.compile(migraphx::ref::target{});
        auto result = p.eval({}).back();
        std::vector<float> results_vector;
        result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
        std::vector<float> gold{1.0,
                                2.0,
                                3.0,
                                2.0,
                                4.0,
                                6.0,
                                3.0,
                                6.0,
                                9.0,
                                1.0,
                                2.0,
                                3.0,
                                2.0,
                                4.0,
                                6.0,
                                3.0,
                                6.0,
                                9.0};
        EXPECT(results_vector == gold);
    }

    {
        migraphx::program p;
        auto* mm = p.get_main_module();
        migraphx::shape s{migraphx::shape::float_type, {2, 3, 3}};
        auto input = migraphx::literal{s, {1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3}};
        auto l0    = mm->add_literal(input);
        mm->add_instruction(
            migraphx::make_op("prefix_scan_sum", {{"axis", -1}, {"exclusive", false}}), l0);
        p.compile(migraphx::ref::target{});
        auto result = p.eval({}).back();
        std::vector<float> results_vector;
        result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
        std::vector<float> gold{1.0,
                                3.0,
                                6.0,
                                1.0,
                                3.0,
                                6.0,
                                1.0,
                                3.0,
                                6.0,
                                1.0,
                                3.0,
                                6.0,
                                1.0,
                                3.0,
                                6.0,
                                1.0,
                                3.0,
                                6.0};
        EXPECT(results_vector == gold);
    }
}

TEST_CASE(prefix_scan_sum_reverse)
{
    {
        migraphx::program p;
        auto* mm = p.get_main_module();
        migraphx::shape s{migraphx::shape::float_type, {8}};
        auto input = migraphx::literal{s, {1, 2, 3, 4, 1, 2, 3, 4}};
        auto l0    = mm->add_literal(input);
        mm->add_instruction(
            migraphx::make_op("prefix_scan_sum",
                              {{"axis", 0}, {"exclusive", false}, {"reverse", true}}),
            l0);
        p.compile(migraphx::ref::target{});
        auto result = p.eval({}).back();
        std::vector<float> results_vector;
        result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
        std::vector<float> gold{20.0, 19.0, 17.0, 14.0, 10.0, 9.0, 7.0, 4.0};
        EXPECT(results_vector == gold);
    }

    {
        migraphx::program p;
        auto* mm = p.get_main_module();
        migraphx::shape s{migraphx::shape::float_type, {2, 2, 2}};
        auto input = migraphx::literal{s, {1, 2, 3, 4, 1, 2, 3, 4}};
        auto l0    = mm->add_literal(input);
        mm->add_instruction(
            migraphx::make_op("prefix_scan_sum",
                              {{"axis", 0}, {"exclusive", false}, {"reverse", true}}),
            l0);
        p.compile(migraphx::ref::target{});
        auto result = p.eval({}).back();
        std::vector<float> results_vector;
        result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
        std::vector<float> gold{2.0, 4.0, 6.0, 8.0, 1.0, 2.0, 3.0, 4.0};
        EXPECT(results_vector == gold);
    }
}

Shucai Xiao's avatar
Shucai Xiao committed
3882
TEST_CASE(prelu_test)
Khalique's avatar
Khalique committed
3883
3884
{
    migraphx::program p;
3885
    auto* mm = p.get_main_module();
Shucai Xiao's avatar
Shucai Xiao committed
3886
3887
3888
3889
    migraphx::shape s{migraphx::shape::float_type, {3}};
    auto x     = mm->add_literal(migraphx::literal{s, {-1, 0, 2}});
    auto slope = mm->add_literal(migraphx::literal{s, {2, 1, 2}});
    mm->add_instruction(migraphx::make_op("prelu"), x, slope);
3890
    p.compile(migraphx::ref::target{});
3891
    auto result = p.eval({}).back();
Shucai Xiao's avatar
Shucai Xiao committed
3892
    std::vector<float> results_vector;
Khalique's avatar
Khalique committed
3893
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
Shucai Xiao's avatar
Shucai Xiao committed
3894
    std::vector<float> gold = {-2.0f, 0.0f, 2.0f};
Khalique's avatar
Khalique committed
3895
3896
3897
    EXPECT(migraphx::verify_range(results_vector, gold));
}

Shucai Xiao's avatar
Shucai Xiao committed
3898
TEST_CASE(quant_conv2d_padding_stride_test)
Khalique's avatar
Khalique committed
3899
3900
{
    migraphx::program p;
3901
    auto* mm = p.get_main_module();
Shucai Xiao's avatar
Shucai Xiao committed
3902
3903
3904
3905
3906
3907
3908
3909
3910
3911
    migraphx::shape a_shape{migraphx::shape::int8_type, {2, 3, 4, 4}};
    std::vector<int8_t> a(2 * 3 * 4 * 4);
    std::iota(a.begin(), a.end(), 0);
    auto al = mm->add_literal(migraphx::literal{a_shape, a});
    migraphx::shape c_shape{migraphx::shape::int8_type, {2, 3, 3, 3}};
    std::vector<int8_t> c(2 * 3 * 3 * 3);
    std::iota(c.begin(), c.end(), 0);
    auto cl = mm->add_literal(migraphx::literal{c_shape, c});
    mm->add_instruction(
        migraphx::make_op("quant_convolution", {{"padding", {1, 1}}, {"stride", {2, 2}}}), al, cl);
3912
    p.compile(migraphx::ref::target{});
3913
    auto result = p.eval({}).back();
Shucai Xiao's avatar
Shucai Xiao committed
3914
3915
3916
3917
3918
3919
3920
3921
3922
3923
3924
3925
3926
3927
3928
3929
3930
3931

    std::vector<int32_t> s = {4521,
                              7014,
                              7830,
                              11952,
                              10515,
                              16734,
                              19737,
                              30906,
                              13161,
                              19542,
                              19494,
                              28800,
                              34707,
                              52590,
                              54729,
                              82746};
    std::vector<int32_t> results_vector;
Khalique's avatar
Khalique committed
3932
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
Shucai Xiao's avatar
Shucai Xiao committed
3933
    EXPECT(migraphx::verify_range(results_vector, s));
Khalique's avatar
Khalique committed
3934
3935
}

Shucai Xiao's avatar
Shucai Xiao committed
3936
TEST_CASE(quant_conv2d_padding_test)
Khalique's avatar
Khalique committed
3937
3938
{
    migraphx::program p;
3939
    auto* mm = p.get_main_module();
Shucai Xiao's avatar
Shucai Xiao committed
3940
3941
3942
3943
3944
3945
3946
3947
3948
3949
    migraphx::shape a_shape{migraphx::shape::int8_type, {2, 3, 4, 4}};
    std::vector<int8_t> a(2 * 3 * 4 * 4);
    std::iota(a.begin(), a.end(), 0);
    auto al = mm->add_literal(migraphx::literal{a_shape, a});
    migraphx::shape c_shape{migraphx::shape::int8_type, {2, 3, 3, 3}};
    std::vector<int8_t> c(2 * 3 * 3 * 3);
    std::iota(c.begin(), c.end(), 0);
    auto cl = mm->add_literal(migraphx::literal{c_shape, c});
    mm->add_instruction(
        migraphx::make_op("quant_convolution", {{"padding", {1, 1}}, {"stride", {1, 1}}}), al, cl);
3950
    p.compile(migraphx::ref::target{});
Shucai Xiao's avatar
Shucai Xiao committed
3951
3952
3953
3954
3955
3956
3957
3958
3959
    auto result            = p.eval({}).back();
    std::vector<int32_t> s = {
        4521,  6753,  7014,  4635,  6858,  10197, 10548, 6939,  7830,  11601, 11952, 7839,  5007,
        7383,  7590,  4953,  10515, 15987, 16734, 11277, 16821, 25506, 26586, 17874, 19737, 29826,
        30906, 20718, 13593, 20505, 21198, 14187, 13161, 19281, 19542, 12699, 18522, 27045, 27396,
        17739, 19494, 28449, 28800, 18639, 11919, 17319, 17526, 11289, 34707, 51843, 52590, 34893,
        51813, 77346, 78426, 52002, 54729, 81666, 82746, 54846, 36057, 53769, 54462, 36075};

    std::vector<int32_t> results_vector;
Khalique's avatar
Khalique committed
3960
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
Shucai Xiao's avatar
Shucai Xiao committed
3961
    EXPECT(migraphx::verify_range(results_vector, s));
Khalique's avatar
Khalique committed
3962
3963
}

Shucai Xiao's avatar
Shucai Xiao committed
3964
TEST_CASE(quant_conv2d_test)
3965
3966
{
    migraphx::program p;
3967
    auto* mm = p.get_main_module();
Shucai Xiao's avatar
Shucai Xiao committed
3968
3969
3970
3971
3972
3973
3974
3975
3976
3977
3978
    migraphx::shape a_shape{migraphx::shape::int8_type, {2, 3, 4, 4}};
    std::vector<int8_t> a(2 * 3 * 4 * 4);
    std::iota(a.begin(), a.end(), 0);
    auto al = mm->add_literal(migraphx::literal{a_shape, a});

    migraphx::shape c_shape{migraphx::shape::int8_type, {2, 3, 3, 3}};
    std::vector<int8_t> c(2 * 3 * 3 * 3);
    std::iota(c.begin(), c.end(), 0);
    auto cl = mm->add_literal(migraphx::literal{c_shape, c});

    mm->add_instruction(migraphx::make_op("quant_convolution"), al, cl);
3979
    p.compile(migraphx::ref::target{});
3980
    auto result = p.eval({}).back();
Shucai Xiao's avatar
Shucai Xiao committed
3981
3982
3983
3984
3985
3986
3987
3988
3989
3990
3991
3992
3993
3994
3995
3996
3997
3998
3999

    std::vector<int32_t> s = {10197,
                              10548,
                              11601,
                              11952,
                              25506,
                              26586,
                              29826,
                              30906,
                              27045,
                              27396,
                              28449,
                              28800,
                              77346,
                              78426,
                              81666,
                              82746};

    std::vector<int32_t> results_vector;
4000
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
Shucai Xiao's avatar
Shucai Xiao committed
4001
    EXPECT(migraphx::verify_range(results_vector, s));
4002
4003
}

turneram's avatar
turneram committed
4004
4005
4006
4007
4008
4009
4010
4011
4012
4013
4014
4015
4016
4017
4018
4019
4020
4021
4022
4023
4024
4025
4026
4027
4028
4029
4030
4031
4032
4033
4034
4035
4036
4037
4038
4039
4040
4041
4042
4043
4044
4045
4046
4047
4048
4049
4050
4051
4052
4053
4054
4055
4056
4057
4058
TEST_CASE(quantizelinear)
{
    {
        migraphx::shape xs{migraphx::shape::float_type, {2, 3, 3}};
        std::vector<float> xv = {
            -300, 600, 129, -1000, 4, 3, -6, 600, 550, -300, 600, 129, -1000, 4, 3, -6, 600, 550};
        migraphx::shape ss{migraphx::shape::float_type, {2, 3, 3}};
        std::vector<float> sv = {2, 2, 2, 4, 4, 4, 6, 6, 6, 2, 2, 2, 4, 4, 4, 6, 6, 6};
        migraphx::shape zs{migraphx::shape::int8_type, {2, 3, 3}};
        std::vector<uint8_t> zv = {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0};
        auto create_program     = [&]() {
            migraphx::program p;
            auto* mm = p.get_main_module();
            auto x   = mm->add_literal(xs, xv);
            auto s   = mm->add_literal(ss, sv);
            auto z   = mm->add_literal(zs, zv);
            mm->add_instruction(migraphx::make_op("quantizelinear"), x, s, z);
            return p;
        };

        migraphx::program p1 = create_program();
        p1.compile(migraphx::ref::target{});
        auto result = p1.eval({}).back();
        std::vector<float> results_vector(18);
        result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
        std::vector<float> gold{
            -128, 127, 65, -128, 1, 1, -1, 100, 92, -128, 127, 65, -128, 1, 1, -1, 100, 92};
        EXPECT(results_vector == gold);
    }

    {
        migraphx::shape xs{migraphx::shape::float_type, {2, 3, 3}};
        std::vector<float> xv = {
            -300, 600, 129, -1000, 4, 3, -6, 600, 550, -300, 600, 129, -1000, 4, 3, -6, 600, 550};
        migraphx::shape ss{migraphx::shape::float_type, {2, 3, 3}};
        std::vector<float> sv = {2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2};
        auto create_program   = [&]() {
            migraphx::program p;
            auto* mm = p.get_main_module();
            auto x   = mm->add_literal(xs, xv);
            auto s   = mm->add_literal(ss, sv);
            mm->add_instruction(migraphx::make_op("quantizelinear"), x, s);
            return p;
        };

        migraphx::program p1 = create_program();
        p1.compile(migraphx::ref::target{});
        auto result = p1.eval({}).back();
        std::vector<float> results_vector(18);
        result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
        std::vector<float> gold{0, 255, 65, 0, 2, 2, 0, 255, 255, 0, 255, 65, 0, 2, 2, 0, 255, 255};
        EXPECT(results_vector == gold);
    }
}

Shucai Xiao's avatar
Shucai Xiao committed
4059
TEST_CASE(recip_test)
4060
4061
{
    migraphx::program p;
4062
    auto* mm = p.get_main_module();
Shucai Xiao's avatar
Shucai Xiao committed
4063
4064
4065
4066
    migraphx::shape s{migraphx::shape::double_type, {3}};
    std::vector<float> data{-0.5f, 0.1f, 0.5f};
    auto l = mm->add_literal(migraphx::literal{s, data});
    mm->add_instruction(migraphx::make_op("recip"), l);
4067
    p.compile(migraphx::ref::target{});
4068
    auto result = p.eval({}).back();
Shucai Xiao's avatar
Shucai Xiao committed
4069
    std::vector<float> results_vector(3);
4070
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
Shucai Xiao's avatar
Shucai Xiao committed
4071
    std::vector<float> gold = {-2.0f, 10.0f, 2.0f};
4072
4073
4074
    EXPECT(migraphx::verify_range(results_vector, gold));
}

Shucai Xiao's avatar
Shucai Xiao committed
4075
TEST_CASE(reduce_max_axis0)
4076
4077
{
    migraphx::program p;
4078
    auto* mm = p.get_main_module();
Shucai Xiao's avatar
Shucai Xiao committed
4079
4080
4081
4082
    migraphx::shape s{migraphx::shape::float_type, {3, 2, 2}};
    auto input = migraphx::literal{s, {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}};
    auto l0    = mm->add_literal(input);
    mm->add_instruction(migraphx::make_op("reduce_max", {{"axes", {0}}}), l0);
4083
    p.compile(migraphx::ref::target{});
4084
    auto result = p.eval({}).back();
Shucai Xiao's avatar
Shucai Xiao committed
4085
    std::vector<float> results_vector;
4086
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
Shucai Xiao's avatar
Shucai Xiao committed
4087
4088
    std::vector<float> gold{9, 10, 11, 12};
    EXPECT(results_vector == gold);
4089
4090
}

Shucai Xiao's avatar
Shucai Xiao committed
4091
TEST_CASE(reduce_max_axis01)
4092
4093
{
    migraphx::program p;
4094
    auto* mm = p.get_main_module();
Shucai Xiao's avatar
Shucai Xiao committed
4095
4096
4097
4098
    migraphx::shape s{migraphx::shape::float_type, {3, 2, 2}};
    auto input = migraphx::literal{s, {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}};
    auto l0    = mm->add_literal(input);
    mm->add_instruction(migraphx::make_op("reduce_max", {{"axes", {0, 1}}}), l0);
4099
    p.compile(migraphx::ref::target{});
4100
    auto result = p.eval({}).back();
Shucai Xiao's avatar
Shucai Xiao committed
4101
    std::vector<float> results_vector;
4102
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
Shucai Xiao's avatar
Shucai Xiao committed
4103
4104
    std::vector<float> gold{11, 12};
    EXPECT(results_vector == gold);
4105
4106
}

Shucai Xiao's avatar
Shucai Xiao committed
4107
TEST_CASE(reduce_max_axis02)
Khalique's avatar
Khalique committed
4108
4109
{
    migraphx::program p;
4110
    auto* mm = p.get_main_module();
Shucai Xiao's avatar
Shucai Xiao committed
4111
4112
4113
4114
    migraphx::shape s{migraphx::shape::float_type, {3, 2, 2}};
    auto input = migraphx::literal{s, {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}};
    auto l0    = mm->add_literal(input);
    mm->add_instruction(migraphx::make_op("reduce_max", {{"axes", {0, 2}}}), l0);
4115
    p.compile(migraphx::ref::target{});
4116
    auto result = p.eval({}).back();
Shucai Xiao's avatar
Shucai Xiao committed
4117
    std::vector<float> results_vector;
Khalique's avatar
Khalique committed
4118
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
Shucai Xiao's avatar
Shucai Xiao committed
4119
4120
    std::vector<float> gold{10, 12};
    EXPECT(results_vector == gold);
Khalique's avatar
Khalique committed
4121
4122
}

Shucai Xiao's avatar
Shucai Xiao committed
4123
TEST_CASE(reduce_mean_axis02)
Shucai Xiao's avatar
Shucai Xiao committed
4124
4125
{
    migraphx::program p;
4126
    auto* mm = p.get_main_module();
Shucai Xiao's avatar
Shucai Xiao committed
4127
4128
    migraphx::shape s{migraphx::shape::float_type, {3, 2, 2}};
    auto input = migraphx::literal{s, {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}};
4129
    auto l0    = mm->add_literal(input);
Shucai Xiao's avatar
Shucai Xiao committed
4130
    mm->add_instruction(migraphx::make_op("reduce_mean", {{"axes", {0, 2}}}), l0);
4131
    p.compile(migraphx::ref::target{});
4132
    auto result = p.eval({}).back();
Shucai Xiao's avatar
Shucai Xiao committed
4133
4134
    std::vector<float> results_vector;
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
Shucai Xiao's avatar
Shucai Xiao committed
4135
    std::vector<float> gold{5.5, 7.5};
Shucai Xiao's avatar
Shucai Xiao committed
4136
4137
4138
    EXPECT(results_vector == gold);
}

Shucai Xiao's avatar
Shucai Xiao committed
4139
TEST_CASE(reduce_mean_axis1)
Paul's avatar
Paul committed
4140
4141
{
    migraphx::program p;
4142
    auto* mm = p.get_main_module();
Paul's avatar
Paul committed
4143
4144
    migraphx::shape s{migraphx::shape::float_type, {3, 2, 2}};
    auto input = migraphx::literal{s, {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}};
4145
    auto l0    = mm->add_literal(input);
Shucai Xiao's avatar
Shucai Xiao committed
4146
    mm->add_instruction(migraphx::make_op("reduce_mean", {{"axes", {1}}}), l0);
4147
    p.compile(migraphx::ref::target{});
4148
    auto result = p.eval({}).back();
Paul's avatar
Paul committed
4149
4150
    std::vector<float> results_vector;
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
Shucai Xiao's avatar
Shucai Xiao committed
4151
    std::vector<float> gold{2, 3, 6, 7, 10, 11};
Paul's avatar
Paul committed
4152
4153
4154
    EXPECT(results_vector == gold);
}

Shucai Xiao's avatar
Shucai Xiao committed
4155
TEST_CASE(reduce_mean_axis12)
Paul's avatar
Paul committed
4156
4157
{
    migraphx::program p;
4158
    auto* mm = p.get_main_module();
Paul's avatar
Paul committed
4159
4160
    migraphx::shape s{migraphx::shape::float_type, {3, 2, 2}};
    auto input = migraphx::literal{s, {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}};
4161
    auto l0    = mm->add_literal(input);
Shucai Xiao's avatar
Shucai Xiao committed
4162
    mm->add_instruction(migraphx::make_op("reduce_mean", {{"axes", {1, 2}}}), l0);
4163
    p.compile(migraphx::ref::target{});
4164
    auto result = p.eval({}).back();
Paul's avatar
Paul committed
4165
4166
    std::vector<float> results_vector;
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
Shucai Xiao's avatar
Shucai Xiao committed
4167
    std::vector<float> gold{2.5f, 6.5f, 10.5f};
Paul's avatar
Paul committed
4168
4169
4170
    EXPECT(results_vector == gold);
}

Shucai Xiao's avatar
Shucai Xiao committed
4171
TEST_CASE(reduce_mean_axis2)
Paul's avatar
Paul committed
4172
4173
{
    migraphx::program p;
4174
    auto* mm = p.get_main_module();
Paul's avatar
Paul committed
4175
4176
    migraphx::shape s{migraphx::shape::float_type, {3, 2, 2}};
    auto input = migraphx::literal{s, {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}};
4177
    auto l0    = mm->add_literal(input);
Shucai Xiao's avatar
Shucai Xiao committed
4178
    mm->add_instruction(migraphx::make_op("reduce_mean", {{"axes", {2}}}), l0);
4179
    p.compile(migraphx::ref::target{});
4180
    auto result = p.eval({}).back();
Paul's avatar
Paul committed
4181
4182
    std::vector<float> results_vector;
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
Shucai Xiao's avatar
Shucai Xiao committed
4183
    std::vector<float> gold{1.5f, 3.5f, 5.5f, 7.5f, 9.5f, 11.5f};
Paul's avatar
Paul committed
4184
4185
4186
    EXPECT(results_vector == gold);
}

Shucai Xiao's avatar
Shucai Xiao committed
4187
TEST_CASE(reduce_mean_int)
Paul's avatar
Paul committed
4188
4189
{
    migraphx::program p;
4190
    auto* mm = p.get_main_module();
Shucai Xiao's avatar
Shucai Xiao committed
4191
    migraphx::shape s{migraphx::shape::int32_type, {3, 2, 2}};
Paul's avatar
Paul committed
4192
    auto input = migraphx::literal{s, {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}};
4193
    auto l0    = mm->add_literal(input);
Shucai Xiao's avatar
Shucai Xiao committed
4194
    mm->add_instruction(migraphx::make_op("reduce_mean", {{"axes", {1, 2}}}), l0);
4195
    p.compile(migraphx::ref::target{});
4196
    auto result = p.eval({}).back();
Shucai Xiao's avatar
Shucai Xiao committed
4197
    std::vector<int> results_vector;
Paul's avatar
Paul committed
4198
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
Shucai Xiao's avatar
Shucai Xiao committed
4199
    std::vector<int> gold{2, 6, 10};
Paul's avatar
Paul committed
4200
4201
4202
    EXPECT(results_vector == gold);
}

Shucai Xiao's avatar
Shucai Xiao committed
4203
TEST_CASE(reduce_min_axis02)
Paul's avatar
Paul committed
4204
4205
{
    migraphx::program p;
4206
    auto* mm = p.get_main_module();
Paul's avatar
Paul committed
4207
4208
    migraphx::shape s{migraphx::shape::float_type, {3, 2, 2}};
    auto input = migraphx::literal{s, {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}};
4209
    auto l0    = mm->add_literal(input);
Shucai Xiao's avatar
Shucai Xiao committed
4210
    mm->add_instruction(migraphx::make_op("reduce_min", {{"axes", {0, 2}}}), l0);
4211
    p.compile(migraphx::ref::target{});
4212
    auto result = p.eval({}).back();
Paul's avatar
Paul committed
4213
4214
    std::vector<float> results_vector;
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
Shucai Xiao's avatar
Shucai Xiao committed
4215
    std::vector<float> gold{1, 3};
Paul's avatar
Paul committed
4216
4217
4218
    EXPECT(results_vector == gold);
}

Shucai Xiao's avatar
Shucai Xiao committed
4219
TEST_CASE(reduce_min_axis1)
Khalique's avatar
Khalique committed
4220
4221
{
    migraphx::program p;
4222
    auto* mm = p.get_main_module();
Shucai Xiao's avatar
Shucai Xiao committed
4223
4224
4225
4226
    migraphx::shape s{migraphx::shape::float_type, {3, 2, 2}};
    auto input = migraphx::literal{s, {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}};
    auto l0    = mm->add_literal(input);
    mm->add_instruction(migraphx::make_op("reduce_min", {{"axes", {1}}}), l0);
4227
    p.compile(migraphx::ref::target{});
4228
    auto result = p.eval({}).back();
Shucai Xiao's avatar
Shucai Xiao committed
4229
    std::vector<float> results_vector;
Khalique's avatar
Khalique committed
4230
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
Shucai Xiao's avatar
Shucai Xiao committed
4231
4232
    std::vector<float> gold{1, 2, 5, 6, 9, 10};
    EXPECT(results_vector == gold);
Khalique's avatar
Khalique committed
4233
4234
}

Shucai Xiao's avatar
Shucai Xiao committed
4235
TEST_CASE(reduce_min_axis12)
Shucai Xiao's avatar
Shucai Xiao committed
4236
4237
{
    migraphx::program p;
4238
    auto* mm = p.get_main_module();
Shucai Xiao's avatar
Shucai Xiao committed
4239
4240
    migraphx::shape s{migraphx::shape::float_type, {3, 2, 2}};
    auto input = migraphx::literal{s, {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}};
4241
    auto l0    = mm->add_literal(input);
Shucai Xiao's avatar
Shucai Xiao committed
4242
    mm->add_instruction(migraphx::make_op("reduce_min", {{"axes", {1, 2}}}), l0);
4243
    p.compile(migraphx::ref::target{});
4244
    auto result = p.eval({}).back();
Shucai Xiao's avatar
Shucai Xiao committed
4245
4246
    std::vector<float> results_vector;
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
Shucai Xiao's avatar
Shucai Xiao committed
4247
    std::vector<float> gold{1, 5, 9};
Shucai Xiao's avatar
Shucai Xiao committed
4248
4249
4250
    EXPECT(results_vector == gold);
}

Shucai Xiao's avatar
Shucai Xiao committed
4251
TEST_CASE(reduce_prod_axis0)
Shucai Xiao's avatar
Shucai Xiao committed
4252
4253
{
    migraphx::program p;
4254
    auto* mm = p.get_main_module();
Shucai Xiao's avatar
Shucai Xiao committed
4255
4256
    migraphx::shape s{migraphx::shape::float_type, {4, 2, 2}};
    auto input = migraphx::literal{s, {1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 3, 2, 3}};
4257
    auto l0    = mm->add_literal(input);
Shucai Xiao's avatar
Shucai Xiao committed
4258
    mm->add_instruction(migraphx::make_op("reduce_prod", {{"axes", {0}}}), l0);
4259
    p.compile(migraphx::ref::target{});
4260
    auto result = p.eval({}).back();
Shucai Xiao's avatar
Shucai Xiao committed
4261
4262
    std::vector<float> results_vector;
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
Shucai Xiao's avatar
Shucai Xiao committed
4263
    std::vector<float> gold{6, 18, 12, 18};
Shucai Xiao's avatar
Shucai Xiao committed
4264
4265
4266
    EXPECT(results_vector == gold);
}

Shucai Xiao's avatar
Shucai Xiao committed
4267
TEST_CASE(reduce_sum_axis0)
Shucai Xiao's avatar
Shucai Xiao committed
4268
4269
{
    migraphx::program p;
4270
    auto* mm = p.get_main_module();
Shucai Xiao's avatar
Shucai Xiao committed
4271
4272
    migraphx::shape s{migraphx::shape::float_type, {3, 2, 2}};
    auto input = migraphx::literal{s, {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}};
4273
    auto l0    = mm->add_literal(input);
Shucai Xiao's avatar
Shucai Xiao committed
4274
    mm->add_instruction(migraphx::make_op("reduce_sum", {{"axes", {0}}}), l0);
4275
    p.compile(migraphx::ref::target{});
4276
    auto result = p.eval({}).back();
Shucai Xiao's avatar
Shucai Xiao committed
4277
4278
    std::vector<float> results_vector;
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
Shucai Xiao's avatar
Shucai Xiao committed
4279
    std::vector<float> gold{15, 18, 21, 24};
Shucai Xiao's avatar
Shucai Xiao committed
4280
4281
4282
    EXPECT(results_vector == gold);
}

Shucai Xiao's avatar
Shucai Xiao committed
4283
TEST_CASE(reduce_sum_axis02)
Shucai Xiao's avatar
Shucai Xiao committed
4284
4285
{
    migraphx::program p;
4286
    auto* mm = p.get_main_module();
Shucai Xiao's avatar
Shucai Xiao committed
4287
4288
    migraphx::shape s{migraphx::shape::float_type, {3, 2, 2}};
    auto input = migraphx::literal{s, {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}};
4289
    auto l0    = mm->add_literal(input);
Shucai Xiao's avatar
Shucai Xiao committed
4290
    mm->add_instruction(migraphx::make_op("reduce_sum", {{"axes", {0, 2}}}), l0);
4291
    p.compile(migraphx::ref::target{});
4292
    auto result = p.eval({}).back();
Shucai Xiao's avatar
Shucai Xiao committed
4293
4294
    std::vector<float> results_vector;
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
Shucai Xiao's avatar
Shucai Xiao committed
4295
    std::vector<float> gold{33, 45};
Shucai Xiao's avatar
Shucai Xiao committed
4296
4297
4298
    EXPECT(results_vector == gold);
}

Shucai Xiao's avatar
Shucai Xiao committed
4299
TEST_CASE(reduce_sum_axis1)
Shucai Xiao's avatar
Shucai Xiao committed
4300
4301
{
    migraphx::program p;
4302
    auto* mm = p.get_main_module();
Shucai Xiao's avatar
Shucai Xiao committed
4303
    migraphx::shape s{migraphx::shape::float_type, {3, 2, 2}};
Shucai Xiao's avatar
Shucai Xiao committed
4304
    auto input = migraphx::literal{s, {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}};
4305
    auto l0    = mm->add_literal(input);
Shucai Xiao's avatar
Shucai Xiao committed
4306
    mm->add_instruction(migraphx::make_op("reduce_sum", {{"axes", {1}}}), l0);
4307
    p.compile(migraphx::ref::target{});
4308
    auto result = p.eval({}).back();
Shucai Xiao's avatar
Shucai Xiao committed
4309
    std::vector<float> results_vector;
Shucai Xiao's avatar
Shucai Xiao committed
4310
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
Shucai Xiao's avatar
Shucai Xiao committed
4311
    std::vector<float> gold{4, 6, 12, 14, 20, 22};
Shucai Xiao's avatar
Shucai Xiao committed
4312
4313
4314
    EXPECT(results_vector == gold);
}

Shucai Xiao's avatar
Shucai Xiao committed
4315
TEST_CASE(reduce_sum_axis12)
Shucai Xiao's avatar
Shucai Xiao committed
4316
4317
{
    migraphx::program p;
4318
    auto* mm = p.get_main_module();
Shucai Xiao's avatar
Shucai Xiao committed
4319
4320
    migraphx::shape s{migraphx::shape::float_type, {3, 2, 2}};
    auto input = migraphx::literal{s, {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}};
4321
    auto l0    = mm->add_literal(input);
Shucai Xiao's avatar
Shucai Xiao committed
4322
    mm->add_instruction(migraphx::make_op("reduce_sum", {{"axes", {1, 2}}}), l0);
4323
    p.compile(migraphx::ref::target{});
4324
    auto result = p.eval({}).back();
Shucai Xiao's avatar
Shucai Xiao committed
4325
4326
    std::vector<float> results_vector;
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
Shucai Xiao's avatar
Shucai Xiao committed
4327
    std::vector<float> gold{10, 26, 42};
Shucai Xiao's avatar
Shucai Xiao committed
4328
4329
4330
    EXPECT(results_vector == gold);
}

Shucai Xiao's avatar
Shucai Xiao committed
4331
TEST_CASE(reduce_sum_axis2)
Shucai Xiao's avatar
Shucai Xiao committed
4332
4333
{
    migraphx::program p;
4334
    auto* mm = p.get_main_module();
Shucai Xiao's avatar
Shucai Xiao committed
4335
4336
    migraphx::shape s{migraphx::shape::float_type, {3, 2, 2}};
    auto input = migraphx::literal{s, {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}};
4337
    auto l0    = mm->add_literal(input);
Shucai Xiao's avatar
Shucai Xiao committed
4338
    mm->add_instruction(migraphx::make_op("reduce_sum", {{"axes", {2}}}), l0);
4339
    p.compile(migraphx::ref::target{});
4340
    auto result = p.eval({}).back();
Shucai Xiao's avatar
Shucai Xiao committed
4341
4342
    std::vector<float> results_vector;
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
Shucai Xiao's avatar
Shucai Xiao committed
4343
    std::vector<float> gold{3, 7, 11, 15, 19, 23};
Shucai Xiao's avatar
Shucai Xiao committed
4344
4345
4346
    EXPECT(results_vector == gold);
}

Shucai Xiao's avatar
Shucai Xiao committed
4347
4348
4349
4350
4351
4352
4353
4354
4355
4356
4357
4358
4359
4360
4361
4362
4363
4364
4365
4366
4367
4368
4369
4370
4371
4372
4373
4374
4375
4376
4377
4378
4379
4380
4381
4382
4383
4384
4385
4386
4387
4388
4389
4390
4391
4392
4393
4394
4395
4396
4397
4398
4399
4400
4401
4402
4403
4404
TEST_CASE(relu_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    migraphx::shape s{migraphx::shape::float_type, {3}};
    auto l = mm->add_literal(migraphx::literal{s, {-1.f, 0.f, 1.f}});
    mm->add_instruction(migraphx::make_op("relu"), l);
    p.compile(migraphx::ref::target{});
    auto result = p.eval({}).back();
    std::vector<float> results_vector(3);
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
    std::vector<float> gold = {0.f, 0.f, 1.f};
    EXPECT(migraphx::verify_range(results_vector, gold));
}

TEST_CASE(reshape_test)
{
    migraphx::shape a_shape{migraphx::shape::float_type, {24, 1, 1, 1}};
    std::vector<float> data(24);
    std::iota(data.begin(), data.end(), -3);
    {
        migraphx::program p;
        auto* mm                       = p.get_main_module();
        auto l                         = mm->add_literal(migraphx::literal{a_shape, data});
        std::vector<int64_t> new_shape = {8, 3, 1, 1};
        mm->add_instruction(migraphx::make_op("reshape", {{"dims", new_shape}}), l);
        p.compile(migraphx::ref::target{});
        auto result = p.eval({}).back();
        std::vector<float> results_vector(3);
        result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
        EXPECT(migraphx::verify_range(results_vector, data));
    }
    {
        migraphx::program p;
        auto* mm                       = p.get_main_module();
        auto l                         = mm->add_literal(migraphx::literal{a_shape, data});
        std::vector<int64_t> new_shape = {1, 3, 4, 2};
        mm->add_instruction(migraphx::make_op("reshape", {{"dims", new_shape}}), l);
        p.compile(migraphx::ref::target{});
        auto result = p.eval({}).back();
        std::vector<float> results_vector(3);
        result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
        EXPECT(migraphx::verify_range(results_vector, data));
    }
    {
        migraphx::program p;
        auto* mm                       = p.get_main_module();
        auto l                         = mm->add_literal(migraphx::literal{a_shape, data});
        std::vector<int64_t> new_shape = {1, 3, 4, 2};
        mm->add_instruction(migraphx::make_op("reshape", {{"dims", new_shape}}), l);
        p.compile(migraphx::ref::target{});
        auto result = p.eval({}).back();
        std::vector<float> results_vector(3);
        result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
        EXPECT(migraphx::verify_range(results_vector, data));
    }
}

Cagri Eryilmaz's avatar
Cagri Eryilmaz committed
4405
4406
4407
4408
4409
4410
4411
4412
4413
4414
4415
4416
4417
4418
4419
4420
4421
4422
4423
4424
4425
4426
4427
4428
4429
4430
4431
4432
4433
4434
4435
4436
4437
4438
4439
4440
4441
4442
4443
4444
4445
4446
4447
4448
4449
4450
4451
4452
4453
4454
4455
4456
4457
4458
4459
4460
4461
4462
4463
4464
TEST_CASE(reverse_test_axis0)
{
    migraphx::shape in_shape{migraphx::shape::float_type, {2, 16}};
    std::vector<float> data(32);
    std::iota(data.begin(), data.end(), 1);
    migraphx::program p;
    auto* mm              = p.get_main_module();
    auto l                = mm->add_literal(migraphx::literal{in_shape, data});
    std::vector<int> axes = {0};
    mm->add_instruction(migraphx::make_op("reverse", {{"axes", axes}}), l);
    p.compile(migraphx::ref::target{});
    auto result = p.eval({}).back();
    std::vector<float> results_vector;
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
    std::vector<float> target_data = data;
    std::swap_ranges(target_data.begin(), target_data.begin() + 16, target_data.begin() + 16);
    EXPECT(migraphx::verify_range(results_vector, target_data));
}

TEST_CASE(reverse_test_axis1)
{
    migraphx::shape in_shape{migraphx::shape::float_type, {2, 16}};
    std::vector<float> data(32);
    std::iota(data.begin(), data.end(), 1);
    migraphx::program p;
    auto* mm              = p.get_main_module();
    auto l                = mm->add_literal(migraphx::literal{in_shape, data});
    std::vector<int> axes = {1};
    mm->add_instruction(migraphx::make_op("reverse", {{"axes", axes}}), l);
    p.compile(migraphx::ref::target{});
    auto result = p.eval({}).back();
    std::vector<float> results_vector;
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
    std::vector<float> target_data = data;
    std::reverse(target_data.begin(), target_data.begin() + 16);
    std::reverse(target_data.end() - 16, target_data.end());
    EXPECT(migraphx::verify_range(results_vector, target_data));
}

TEST_CASE(reverse_test_axis10)
{
    migraphx::shape in_shape{migraphx::shape::float_type, {2, 16}};
    std::vector<float> data(32);
    std::iota(data.begin(), data.end(), 1);
    migraphx::program p;
    auto* mm              = p.get_main_module();
    auto l                = mm->add_literal(migraphx::literal{in_shape, data});
    std::vector<int> axes = {1, 0};
    mm->add_instruction(migraphx::make_op("reverse", {{"axes", axes}}), l);
    p.compile(migraphx::ref::target{});
    auto result = p.eval({}).back();
    std::vector<float> results_vector;
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
    std::vector<float> target_data = data;
    std::reverse(target_data.begin(), target_data.begin() + 16);
    std::reverse(target_data.end() - 16, target_data.end());
    std::swap_ranges(target_data.begin(), target_data.begin() + 16, target_data.begin() + 16);
    EXPECT(migraphx::verify_range(results_vector, target_data));
}

Shucai Xiao's avatar
Shucai Xiao committed
4465
4466
4467
4468
4469
4470
4471
4472
4473
4474
4475
4476
4477
4478
4479
4480
4481
4482
4483
4484
4485
4486
4487
4488
4489
4490
4491
4492
4493
4494
4495
4496
4497
4498
4499
4500
4501
4502
4503
4504
4505
4506
4507
4508
4509
4510
4511
4512
4513
4514
4515
4516
4517
4518
4519
TEST_CASE(roialign_out_of_bound_test)
{
    auto create_program = [](const std::string& trans_mode = "half_pixel") {
        migraphx::program p;
        auto* mm = p.get_main_module();
        migraphx::shape x_s{migraphx::shape::float_type, {1, 1, 10, 10}};
        std::vector<float> x_vec = {
            0.2764, 0.7150, 0.1958, 0.3416, 0.4638, 0.0259, 0.2963, 0.6518, 0.4856, 0.7250,
            0.9637, 0.0895, 0.2919, 0.6753, 0.0234, 0.6132, 0.8085, 0.5324, 0.8992, 0.4467,
            0.3265, 0.8479, 0.9698, 0.2471, 0.9336, 0.1878, 0.4766, 0.4308, 0.3400, 0.2162,
            0.0206, 0.1720, 0.2155, 0.4394, 0.0653, 0.3406, 0.7724, 0.3921, 0.2541, 0.5799,
            0.4062, 0.2194, 0.4473, 0.4687, 0.7109, 0.9327, 0.9815, 0.6320, 0.1728, 0.6119,
            0.3097, 0.1283, 0.4984, 0.5068, 0.4279, 0.0173, 0.4388, 0.0430, 0.4671, 0.7119,
            0.1011, 0.8477, 0.4726, 0.1777, 0.9923, 0.4042, 0.1869, 0.7795, 0.9946, 0.9689,
            0.1366, 0.3671, 0.7011, 0.6234, 0.9867, 0.5585, 0.6985, 0.5609, 0.8788, 0.9928,
            0.5697, 0.8511, 0.6711, 0.9406, 0.8751, 0.7496, 0.1650, 0.1049, 0.1559, 0.2514,
            0.7012, 0.4056, 0.7879, 0.3461, 0.0415, 0.2998, 0.5094, 0.3727, 0.5482, 0.0502};

        migraphx::shape roi_s{migraphx::shape::float_type, {3, 4}};
        std::vector<float> roi_vec = {0, 0, 9.99, 9.99, 0, 5, 4, 9, 5, 5, 9.9, 9.9};

        migraphx::shape ind_s{migraphx::shape::int64_type, {3}};
        std::vector<int64_t> ind_vec = {0, 0, 0};

        auto x   = mm->add_literal(migraphx::literal(x_s, x_vec));
        auto roi = mm->add_literal(migraphx::literal(roi_s, roi_vec));
        auto ind = mm->add_literal(migraphx::literal(ind_s, ind_vec));
        auto r =
            mm->add_instruction(migraphx::make_op("roialign",
                                                  {{"coordinate_transformation_mode", trans_mode},
                                                   {"spatial_scale", 5.0},
                                                   {"output_height", 1},
                                                   {"output_width", 1},
                                                   {"sampling_ratio", 1}}),
                                x,
                                roi,
                                ind);
        mm->add_return({r});
        return p;
    };

    {
        auto p = create_program("output_half_pixel");
        p.compile(migraphx::ref::target{});
        auto result = p.eval({}).back();
        std::vector<float> results_vector;
        result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
        std::vector<float> gold = {0.0f, 0.0f, 0.0f};

        EXPECT(migraphx::verify_range(results_vector, gold));
    }
}

TEST_CASE(roialign_test)
{
4520
4521
4522
4523
    auto create_program = [](const std::string& trans_mode = "half_pixel",
                             const migraphx::op::pooling_mode pooling_mode =
                                 migraphx::op::pooling_mode::average,
                             int64_t sampling_ratio = 2) {
Shucai Xiao's avatar
Shucai Xiao committed
4524
4525
4526
4527
4528
4529
4530
4531
4532
4533
4534
4535
4536
4537
4538
4539
4540
4541
4542
4543
4544
4545
4546
4547
4548
4549
4550
4551
4552
4553
4554
4555
4556
4557
4558
4559
4560
4561
4562
4563
4564
4565
4566
4567
4568
4569
4570
4571
4572
4573
4574
4575
4576
4577
4578
4579
4580
4581
4582
4583
4584
4585
4586
4587
4588
4589
4590
4591
4592
4593
4594
4595
4596
4597
4598
4599
4600
4601
4602
4603
4604
4605
4606
4607
4608
        migraphx::program p;
        auto* mm = p.get_main_module();
        migraphx::shape x_s{migraphx::shape::float_type, {1, 1, 10, 10}};
        std::vector<float> x_vec = {
            0.2764, 0.7150, 0.1958, 0.3416, 0.4638, 0.0259, 0.2963, 0.6518, 0.4856, 0.7250,
            0.9637, 0.0895, 0.2919, 0.6753, 0.0234, 0.6132, 0.8085, 0.5324, 0.8992, 0.4467,
            0.3265, 0.8479, 0.9698, 0.2471, 0.9336, 0.1878, 0.4766, 0.4308, 0.3400, 0.2162,
            0.0206, 0.1720, 0.2155, 0.4394, 0.0653, 0.3406, 0.7724, 0.3921, 0.2541, 0.5799,
            0.4062, 0.2194, 0.4473, 0.4687, 0.7109, 0.9327, 0.9815, 0.6320, 0.1728, 0.6119,
            0.3097, 0.1283, 0.4984, 0.5068, 0.4279, 0.0173, 0.4388, 0.0430, 0.4671, 0.7119,
            0.1011, 0.8477, 0.4726, 0.1777, 0.9923, 0.4042, 0.1869, 0.7795, 0.9946, 0.9689,
            0.1366, 0.3671, 0.7011, 0.6234, 0.9867, 0.5585, 0.6985, 0.5609, 0.8788, 0.9928,
            0.5697, 0.8511, 0.6711, 0.9406, 0.8751, 0.7496, 0.1650, 0.1049, 0.1559, 0.2514,
            0.7012, 0.4056, 0.7879, 0.3461, 0.0415, 0.2998, 0.5094, 0.3727, 0.5482, 0.0502};

        migraphx::shape roi_s{migraphx::shape::float_type, {3, 4}};
        std::vector<float> roi_vec = {0, 0, 9, 9, 0, 5, 4, 9, 5, 5, 9, 9};

        migraphx::shape ind_s{migraphx::shape::int64_type, {3}};
        std::vector<int64_t> ind_vec = {0, 0, 0};

        auto x   = mm->add_literal(migraphx::literal(x_s, x_vec));
        auto roi = mm->add_literal(migraphx::literal(roi_s, roi_vec));
        auto ind = mm->add_literal(migraphx::literal(ind_s, ind_vec));
        auto r =
            mm->add_instruction(migraphx::make_op("roialign",
                                                  {{"coordinate_transformation_mode", trans_mode},
                                                   {"spatial_scale", 1.0},
                                                   {"output_height", 5},
                                                   {"output_width", 5},
                                                   {"sampling_ratio", sampling_ratio},
                                                   {"mode", pooling_mode}}),
                                x,
                                roi,
                                ind);
        mm->add_return({r});
        return p;
    };

    {
        auto p = create_program();
        p.compile(migraphx::ref::target{});
        auto result = p.eval({}).back();
        std::vector<float> results_vector;
        result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
        std::vector<float> gold = {
            0.466421425, 0.446552634, 0.340521216, 0.568848491, 0.606780827, 0.371379346,
            0.429571986, 0.383519977, 0.556241512, 0.351050019, 0.27680251,  0.488286227,
            0.522200167, 0.552770197, 0.417057365, 0.471240699, 0.4844096,   0.690457463,
            0.492039412, 0.877398551, 0.623889625, 0.712461948, 0.628926516, 0.335504025,
            0.349469036, 0.302179992, 0.43046391,  0.469585985, 0.39774403,  0.542259991,
            0.365552008, 0.704923987, 0.516481996, 0.317131996, 0.701444089, 0.291239977,
            0.505897999, 0.647610962, 0.623489916, 0.829879999, 0.591567993, 0.738860011,
            0.704825997, 0.837148011, 0.889315963, 0.622680008, 0.615276039, 0.709713995,
            0.615356028, 0.458524048, 0.238451958, 0.337952018, 0.371693879, 0.609999895,
            0.760059953, 0.376724035, 0.378532052, 0.71468991,  0.924308002, 0.972783983,
            0.574903965, 0.582623959, 0.570936024, 0.761904061, 0.876998067, 0.535508037,
            0.256580025, 0.214098021, 0.279604018, 0.360000014, 0.436488032, 0.350427985,
            0.288755983, 0.366139978, 0.234920025};

        EXPECT(migraphx::verify_range(results_vector, gold));
    }

    {
        auto p = create_program("output_half_pixel");
        p.compile(migraphx::ref::target{});
        auto result = p.eval({}).back();
        std::vector<float> results_vector;
        result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
        std::vector<float> gold = {
            0.517783, 0.343411, 0.322905, 0.447362, 0.634375, 0.40308,  0.536647, 0.442791,
            0.486144, 0.402313, 0.251194, 0.400154, 0.515524, 0.695369, 0.346537, 0.33504,
            0.460099, 0.588069, 0.343863, 0.684932, 0.49319,  0.714058, 0.821744, 0.471935,
            0.403946, 0.306955, 0.218678, 0.33369,  0.488001, 0.486962, 0.18709,  0.49142,
            0.55611,  0.419167, 0.368608, 0.143278, 0.460835, 0.597125, 0.53096,  0.498207,
            0.278818, 0.438569, 0.6022,   0.700038, 0.752436, 0.577385, 0.702383, 0.725097,
            0.733754, 0.816304, 0.23933,  0.407514, 0.337893, 0.252521, 0.474335, 0.367075,
            0.270168, 0.41051,  0.64189,  0.830777, 0.55564,  0.454295, 0.55645,  0.75015,
            0.929997, 0.66257,  0.561664, 0.481275, 0.495449, 0.666306, 0.663573, 0.372107,
            0.205603, 0.192776, 0.247849};

        EXPECT(migraphx::verify_range(results_vector, gold));
    }

    {
4609
        auto p = create_program("output_half_pixel", migraphx::op::pooling_mode::max, 0);
Shucai Xiao's avatar
Shucai Xiao committed
4610
4611
4612
4613
4614
4615
4616
4617
4618
4619
4620
4621
4622
4623
4624
4625
4626
4627
4628
4629
        p.compile(migraphx::ref::target{});
        auto result = p.eval({}).back();
        std::vector<float> results_vector;
        result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
        std::vector<float> gold = {
            0.819145, 0.373103, 0.258302,  0.515419, 0.726104, 0.540536, 0.545512,  0.38511,
            0.376545, 0.274635, 0.22341,   0.184511, 0.230843, 0.404869, 0.29546,   0.540409,
            0.265838, 0.409324, 0.213915,  0.708654, 0.687264, 0.580821, 0.461283,  0.462879,
            0.709632, 0.27873,  0.083619,  0.22428,  0.313992, 0.410508, 0.0929099, 0.415373,
            0.296695, 0.231574, 0.136836,  0.0683,   0.296695, 0.211925, 0.245385,  0.28053,
            0.17091,  0.179879, 0.245385,  0.343539, 0.392742, 0.51273,  0.536193,  0.382995,
            0.422793, 0.761886, 0.0839429, 0.276444, 0.19746,  0.126117, 0.378351,  0.254646,
            0.092148, 0.272825, 0.381955,  0.626599, 0.251325, 0.244475, 0.194875,  0.272825,
            0.44757,  0.351855, 0.342265,  0.244475, 0.274841, 0.553644, 0.607176,  0.202392,
            0.07425,  0.066087, 0.126279};

        EXPECT(migraphx::verify_range(results_vector, gold));
    }
}

Shucai Xiao's avatar
Shucai Xiao committed
4630
TEST_CASE(round_test)
Shucai Xiao's avatar
Shucai Xiao committed
4631
4632
{
    migraphx::program p;
4633
    auto* mm = p.get_main_module();
Shucai Xiao's avatar
Shucai Xiao committed
4634
4635
4636
4637
    migraphx::shape s{migraphx::shape::float_type, {9}};
    auto l =
        mm->add_literal(migraphx::literal{s, {1.1, 1.5, 1.6, -1.1, -1.5, -1.6, 0.0, 2.0, -2.0}});
    mm->add_instruction(migraphx::make_op("round"), l);
4638
    p.compile(migraphx::ref::target{});
4639
    auto result = p.eval({}).back();
Shucai Xiao's avatar
Shucai Xiao committed
4640
4641
    std::vector<float> results_vector;
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
Shucai Xiao's avatar
Shucai Xiao committed
4642
4643
    std::vector<float> gold = {1.0, 2.0, 2.0, -1.0, -2.0, -2.0, 0.0, 2.0, -2.0};
    EXPECT(migraphx::verify_range(results_vector, gold));
Shucai Xiao's avatar
Shucai Xiao committed
4644
4645
}

Shucai Xiao's avatar
Shucai Xiao committed
4646
TEST_CASE(rsqrt_test)
Shucai Xiao's avatar
Shucai Xiao committed
4647
4648
{
    migraphx::program p;
4649
    auto* mm = p.get_main_module();
Shucai Xiao's avatar
Shucai Xiao committed
4650
4651
4652
    migraphx::shape s{migraphx::shape::float_type, {3}};
    auto l = mm->add_literal(migraphx::literal{s, {4.0, 16.0, 64.0}});
    mm->add_instruction(migraphx::make_op("rsqrt"), l);
4653
    p.compile(migraphx::ref::target{});
4654
    auto result = p.eval({}).back();
Shucai Xiao's avatar
Shucai Xiao committed
4655
    std::vector<float> results_vector(3);
Shucai Xiao's avatar
Shucai Xiao committed
4656
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
Shucai Xiao's avatar
Shucai Xiao committed
4657
4658
    std::vector<float> gold = {0.5, 0.25, 0.125};
    EXPECT(migraphx::verify_range(results_vector, gold));
Shucai Xiao's avatar
Shucai Xiao committed
4659
4660
}

4661
4662
// reduction_mode: "scatter_none", "scatter_add", "scatter_mul"
migraphx::program create_scatter_program(const std::string& reduction_mode, int axis)
Shucai Xiao's avatar
Shucai Xiao committed
4663
{
4664
4665
4666
4667
    migraphx::program p;
    auto* mm = p.get_main_module();
    migraphx::shape sd{migraphx::shape::float_type, {3, 3}};
    std::vector<float> vd(sd.elements(), 0.0f);
Shucai Xiao's avatar
Shucai Xiao committed
4668

4669
4670
    migraphx::shape si{migraphx::shape::int32_type, {2, 3}};
    std::vector<int> vi = {1, 0, 2, 0, 2, 1};
Shucai Xiao's avatar
Shucai Xiao committed
4671

4672
4673
    migraphx::shape su{migraphx::shape::float_type, {2, 3}};
    std::vector<float> vu = {1.0, 1.1, 1.2, 2.0, 2.1, 2.2};
Shucai Xiao's avatar
Shucai Xiao committed
4674

4675
4676
4677
4678
4679
4680
4681
4682
4683
4684
4685
4686
4687
4688
4689
    auto ld = mm->add_literal(migraphx::literal{sd, vd});
    auto li = mm->add_literal(migraphx::literal{si, vi});
    auto lu = mm->add_literal(migraphx::literal{su, vu});
    // scatter_none, formerly the scatter op
    auto r = mm->add_instruction(migraphx::make_op(reduction_mode, {{"axis", axis}}), ld, li, lu);
    mm->add_return({r});
    return p;
}

TEST_CASE(scatter_ax0_test)
{
    // this tests what used to be the only scatter op, now changed to 3 sub-ops
    // which have their own test case
    {
        migraphx::program p = create_scatter_program("scatter_none", 0);
Shucai Xiao's avatar
Shucai Xiao committed
4690
4691
4692
4693
4694
4695
4696
        p.compile(migraphx::ref::target{});
        auto result = p.eval({}).back();
        std::vector<float> results_vector;
        result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
        std::vector<float> gold = {2.0, 1.1, 0.0, 1.0, 0.0, 2.2, 0.0, 2.1, 1.2};
        EXPECT(migraphx::verify_range(results_vector, gold));
    }
4697
}
Shucai Xiao's avatar
Shucai Xiao committed
4698

4699
4700
TEST_CASE(scatter_ax_neg_test)
{
Shucai Xiao's avatar
Shucai Xiao committed
4701
    {
4702
        migraphx::program p = create_scatter_program("scatter_none", -2);
Shucai Xiao's avatar
Shucai Xiao committed
4703
4704
4705
4706
4707
4708
4709
4710

        p.compile(migraphx::ref::target{});
        auto result = p.eval({}).back();
        std::vector<float> results_vector;
        result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
        std::vector<float> gold = {2.0, 1.1, 0.0, 1.0, 0.0, 2.2, 0.0, 2.1, 1.2};
        EXPECT(migraphx::verify_range(results_vector, gold));
    }
4711
4712
4713
4714
4715
4716
4717
4718
4719
4720
4721
4722
4723
4724
4725
4726
4727
4728
4729
4730
4731
4732
4733
4734
4735
4736
4737
4738
4739
4740
4741
4742
4743
4744
4745
4746
4747
4748
4749
4750
4751
4752
4753
4754
4755
4756
4757
4758
4759
4760
4761
4762
4763
4764
4765
4766
4767
4768
4769
4770
4771
4772
4773
4774
4775
4776
4777
4778
4779
4780
4781
4782
4783
4784
}

TEST_CASE(scatter_ax1_test)
{
    {
        migraphx::program p = create_scatter_program("scatter_none", 1);
        p.compile(migraphx::ref::target{});
        auto result = p.eval({}).back();
        std::vector<float> results_vector;
        result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
        std::vector<float> gold = {1.1, 1.0, 1.2, 2.0, 2.2, 2.1, 0.0, 0.0, 0.0};
        EXPECT(migraphx::verify_range(results_vector, gold));
    }
}

// similar to create_scatter_program but with different tensor values
// reduction_mode: "scatter_none", "scatter_add", "scatter_mul"
migraphx::program create_scatter_program2(const std::string& reduction_mode, int axis)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    migraphx::shape sd{migraphx::shape::float_type, {1, 5}};
    std::vector<float> vd({1., 2., 3., 4., 5.});

    migraphx::shape si{migraphx::shape::int32_type, {1, 2}};
    std::vector<int> vi = {1, 3};

    migraphx::shape su{migraphx::shape::float_type, {1, 2}};
    std::vector<float> vu = {1.1, 2.1};

    auto ld = mm->add_literal(migraphx::literal{sd, vd});
    auto li = mm->add_literal(migraphx::literal{si, vi});
    auto lu = mm->add_literal(migraphx::literal{su, vu});
    auto r  = mm->add_instruction(migraphx::make_op(reduction_mode, {{"axis", axis}}), ld, li, lu);
    mm->add_return({r});
    return p;
}
TEST_CASE(scatter_reduction1_test)
{
    {
        // Test sub-ops for the three reduction values scatter_none, scatter_add, scatter_mul
        migraphx::program p = create_scatter_program2("scatter_none", 1);

        p.compile(migraphx::ref::target{});
        auto result = p.eval({}).back();
        std::vector<float> results_vector;
        result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
        std::vector<float> gold_none = {1.0, 1.1, 3.0, 2.1, 5.0};
        EXPECT(migraphx::verify_range(results_vector, gold_none));
    }
}

TEST_CASE(scatter_reduction2_test)
{
    {
        migraphx::program p = create_scatter_program2("scatter_mul", 1);
        p.compile(migraphx::ref::target{});
        auto result = p.eval({}).back();
        std::vector<float> results_vector;
        result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
        std::vector<float> gold_mul = {1.0, 2.2, 3.0, 8.4, 5.0};

        EXPECT(migraphx::verify_range(results_vector, gold_mul));
    }
}
TEST_CASE(scatter_reduction3_test)
{
    {
        migraphx::program p = create_scatter_program2("scatter_add", 1);
        p.compile(migraphx::ref::target{});
        auto result = p.eval({}).back();
        std::vector<float> results_vector;
        result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
        std::vector<float> gold_add = {1.0, 3.1, 3.0, 6.1, 5.0};
Shucai Xiao's avatar
Shucai Xiao committed
4785

4786
4787
4788
4789
4790
4791
        EXPECT(migraphx::verify_range(results_vector, gold_add));
    }
}

TEST_CASE(scatter_reduction_3x3_test)
{
Shucai Xiao's avatar
Shucai Xiao committed
4792
4793
4794
4795
    {
        migraphx::program p;
        auto* mm = p.get_main_module();
        migraphx::shape sd{migraphx::shape::float_type, {3, 3}};
4796
        std::vector<float> vd(sd.elements(), 3.0f);
Shucai Xiao's avatar
Shucai Xiao committed
4797
4798
4799
4800
4801

        migraphx::shape si{migraphx::shape::int32_type, {2, 3}};
        std::vector<int> vi = {1, 0, 2, 0, 2, 1};

        migraphx::shape su{migraphx::shape::float_type, {2, 3}};
4802
        std::vector<float> vu = {1.0, 1.1, 1.2, 7.0, 7.1, 7.2};
Shucai Xiao's avatar
Shucai Xiao committed
4803
4804
4805
4806

        auto ld = mm->add_literal(migraphx::literal{sd, vd});
        auto li = mm->add_literal(migraphx::literal{si, vi});
        auto lu = mm->add_literal(migraphx::literal{su, vu});
4807
        auto r  = mm->add_instruction(migraphx::make_op("scatter_add", {{"axis", 1}}), ld, li, lu);
Shucai Xiao's avatar
Shucai Xiao committed
4808
4809
4810
4811
4812
        mm->add_return({r});
        p.compile(migraphx::ref::target{});
        auto result = p.eval({}).back();
        std::vector<float> results_vector;
        result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
4813
4814
4815
4816
4817
4818
4819
4820
4821
4822
4823
4824
4825
4826
4827
4828
4829
4830
4831
4832
4833
4834
4835
4836
4837
4838
4839
4840
4841
4842
4843
4844
4845
4846
4847
4848
4849
4850
4851
4852
4853
4854
4855
4856
4857
4858
4859
4860
4861
4862
4863
4864
4865
4866
4867
4868
4869
4870
4871
4872
4873
4874
4875
4876
4877
4878
4879
4880
4881
        std::vector<float> gold_a2 = {4.1, 4.0, 4.2, 10.0, 10.2, 10.1, 3.0, 3.0, 3.0};

        EXPECT(migraphx::verify_range(results_vector, gold_a2));
    }
}

// create a test scatter program with a 3x3 tensor;
//  su and si are transposed from previous case
migraphx::program create_scatter_program_3x3(const std::string& reduction_mode, int axis)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    migraphx::shape sd{migraphx::shape::float_type, {3, 3}};
    std::vector<float> vd(sd.elements(), 3.0f);

    migraphx::shape si{migraphx::shape::int32_type, {3, 2}};
    std::vector<int> vi = {1, 0, 0, 2, 2, 1};

    migraphx::shape su{migraphx::shape::float_type, {3, 2}};
    std::vector<float> vu = {1.0, 7.0, 1.1, 7.1, 1.2, 7.2};

    auto ld = mm->add_literal(migraphx::literal{sd, vd});
    auto li = mm->add_literal(migraphx::literal{si, vi});
    auto lu = mm->add_literal(migraphx::literal{su, vu});
    auto r  = mm->add_instruction(migraphx::make_op(reduction_mode, {{"axis", axis}}), ld, li, lu);
    mm->add_return({r});
    return p;
}

TEST_CASE(scatter_reduction_3x3_xpose1_test)
{
    // test on vertical (0) axis. su and si are transposed from previous case
    {
        migraphx::program p = create_scatter_program_3x3("scatter_none", 0);
        p.compile(migraphx::ref::target{});
        auto result = p.eval({}).back();
        std::vector<float> results_vector;
        result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
        std::vector<float> gold_none2 = {1.1, 7.0, 3.0, 1.0, 7.2, 3.0, 1.2, 7.1, 3.0};
        EXPECT(migraphx::verify_range(results_vector, gold_none2));
    }
}

TEST_CASE(scatter_reduction_3x3_xpose2_test)
{
    // test on vertical (0) axis.
    {
        migraphx::program p = create_scatter_program_3x3("scatter_add", 0);
        p.compile(migraphx::ref::target{});
        auto result = p.eval({}).back();
        std::vector<float> results_vector;
        result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
        std::vector<float> gold_a3 = {4.1, 10.0, 3.0, 4.0, 10.2, 3.0, 4.2, 10.1, 3.0};

        EXPECT(migraphx::verify_range(results_vector, gold_a3));
    }
}

TEST_CASE(scatter_reduction_3x3_xpose3_test)
{
    {
        migraphx::program p = create_scatter_program_3x3("scatter_mul", 0);
        p.compile(migraphx::ref::target{});
        auto result = p.eval({}).back();
        std::vector<float> results_vector;
        result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
        std::vector<float> gold_mul2 = {3.3, 21.0, 3.0, 3.0, 21.6, 3.0, 3.6, 21.3, 3.0};

        EXPECT(migraphx::verify_range(results_vector, gold_mul2));
Shucai Xiao's avatar
Shucai Xiao committed
4882
4883
4884
    }
}

turneram's avatar
turneram committed
4885
4886
4887
4888
4889
4890
4891
4892
4893
4894
4895
4896
4897
4898
4899
4900
4901
4902
4903
4904
4905
4906
4907
4908
4909
4910
4911
4912
4913
4914
4915
4916
4917
4918
4919
4920
4921
4922
4923
4924
4925
4926
4927
4928
4929
4930
4931
4932
4933
4934
4935
4936
4937
4938
4939
4940
4941
4942
4943
4944
4945
4946
4947
4948
4949
4950
4951
4952
4953
4954
4955
4956
4957
4958
4959
4960
4961
4962
4963
4964
4965
4966
4967
4968
4969
4970
4971
4972
4973
4974
4975
4976
4977
4978
4979
4980
4981
4982
4983
4984
4985
4986
4987
4988
4989
4990
4991
4992
4993
4994
4995
4996
4997
4998
4999
5000
5001
5002
5003
5004
5005
5006
5007
5008
5009
5010
5011
5012
5013
5014
5015
5016
5017
5018
5019
5020
5021
5022
5023
5024
5025
5026
5027
5028
5029
5030
5031
5032
5033
5034
5035
5036
5037
5038
5039
5040
5041
5042
5043
5044
5045
5046
5047
5048
5049
5050
5051
5052
5053
5054
5055
5056
5057
5058
5059
5060
5061
5062
5063
5064
5065
5066
5067
5068
5069
5070
5071
5072
5073
5074
5075
5076
5077
5078
5079
5080
5081
5082
5083
5084
5085
5086
5087
5088
5089
5090
5091
5092
5093
5094
5095
5096
5097
5098
5099
5100
5101
5102
5103
5104
5105
5106
5107
5108
5109
5110
5111
5112
5113
5114
5115
5116
5117
5118
5119
5120
5121
5122
5123
5124
5125
5126
5127
5128
5129
5130
5131
5132
5133
5134
5135
5136
5137
5138
5139
5140
5141
5142
5143
5144
5145
5146
5147
5148
5149
5150
5151
5152
5153
5154
5155
5156
5157
5158
5159
5160
5161
5162
5163
5164
5165
5166
5167
5168
5169
5170
5171
5172
5173
5174
5175
5176
5177
5178
5179
5180
5181
5182
5183
5184
5185
5186
5187
5188
5189
5190
5191
5192
5193
TEST_CASE(scatternd_shapes_test)
{
    {
        // broadcasted input
        migraphx::program p;
        auto* mm   = p.get_main_module();
        auto dtype = migraphx::shape::float_type;
        auto itype = migraphx::shape::int64_type;
        migraphx::shape is{itype, {4, 1}};
        migraphx::shape us{dtype, {4}};

        std::vector<int64_t> ind_vec{4, 3, 1, 7};
        std::vector<float> upd_vec{9, 10, 11, 12};

        auto data    = mm->add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", {8}}}),
                                        mm->add_literal(migraphx::literal{0.0f}));
        auto indices = mm->add_literal(migraphx::literal{is, ind_vec});
        auto updates = mm->add_literal(migraphx::literal{us, upd_vec});
        auto scatternd =
            mm->add_instruction(migraphx::make_op("scatternd_none"), data, indices, updates);
        mm->add_return({scatternd});
        p.compile(migraphx::ref::target{});
        auto result = p.eval({}).back();
        std::vector<float> results_vector;
        result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
        std::vector<float> gold{0, 11, 0, 10, 9, 0, 0, 12};

        EXPECT(migraphx::verify_range(results_vector, gold));
    }

    {
        // non-standard shape input
        migraphx::program p;
        auto* mm   = p.get_main_module();
        auto dtype = migraphx::shape::float_type;
        auto itype = migraphx::shape::int64_type;
        migraphx::shape ds{dtype, {2, 2}};
        migraphx::shape is{itype, {2, 2}};
        migraphx::shape us{dtype, {2}};

        std::vector<float> data_vec{1, 2, 3, 4};
        std::vector<int64_t> ind_vec{0, 0, 0, 1};
        std::vector<float> upd_vec{5, 6};

        auto data = mm->add_literal(migraphx::literal{ds, data_vec});
        auto td =
            mm->add_instruction(migraphx::make_op("transpose", {{"permutation", {1, 0}}}), data);
        auto indices = mm->add_literal(migraphx::literal{is, ind_vec});
        auto updates = mm->add_literal(migraphx::literal{us, upd_vec});
        auto scatternd =
            mm->add_instruction(migraphx::make_op("scatternd_none"), td, indices, updates);
        mm->add_return({scatternd});
        p.compile(migraphx::ref::target{});
        auto result = p.eval({}).back();
        std::vector<float> results_vector;
        result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
        std::vector<float> gold{5, 6, 2, 4};

        EXPECT(migraphx::verify_range(results_vector, gold));
    }

    {
        // non-standard updates shape
        migraphx::program p;
        auto* mm   = p.get_main_module();
        auto dtype = migraphx::shape::float_type;
        auto itype = migraphx::shape::int64_type;
        migraphx::shape ds{dtype, {2, 2, 2}};
        migraphx::shape is{itype, {2, 1, 3}};
        migraphx::shape us{dtype, {1, 2}};

        std::vector<float> data_vec{1, 2, 3, 4, 5, 6, 7, 8};
        std::vector<int64_t> ind_vec{0, 0, 0, 1, 1, 1};
        std::vector<float> upd_vec{9, 10};

        auto data    = mm->add_literal(migraphx::literal{ds, data_vec});
        auto indices = mm->add_literal(migraphx::literal{is, ind_vec});
        auto updates = mm->add_literal(migraphx::literal{us, upd_vec});
        auto tu =
            mm->add_instruction(migraphx::make_op("transpose", {{"permutation", {1, 0}}}), updates);
        auto scatternd =
            mm->add_instruction(migraphx::make_op("scatternd_none"), data, indices, tu);
        mm->add_return({scatternd});
        p.compile(migraphx::ref::target{});
        auto result = p.eval({}).back();
        std::vector<float> results_vector;
        result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
        std::vector<float> gold{9, 2, 3, 4, 5, 6, 7, 10};

        EXPECT(migraphx::verify_range(results_vector, gold));
    }
}

TEST_CASE(scatternd_test)
{
    {
        // r=1, q=2, k=1
        migraphx::program p;
        auto* mm   = p.get_main_module();
        auto dtype = migraphx::shape::float_type;
        auto itype = migraphx::shape::int64_type;
        migraphx::shape ds{dtype, {8}};
        migraphx::shape is{itype, {4, 1}};
        migraphx::shape us{dtype, {4}};

        std::vector<float> data_vec{1, 2, 3, 4, 5, 6, 7, 8};
        std::vector<int64_t> ind_vec{4, 3, 1, 7};
        std::vector<float> upd_vec{9, 10, 11, 12};

        auto data    = mm->add_literal(migraphx::literal{ds, data_vec});
        auto indices = mm->add_literal(migraphx::literal{is, ind_vec});
        auto updates = mm->add_literal(migraphx::literal{us, upd_vec});
        auto scatternd =
            mm->add_instruction(migraphx::make_op("scatternd_none"), data, indices, updates);
        mm->add_return({scatternd});
        p.compile(migraphx::ref::target{});
        auto result = p.eval({}).back();
        std::vector<float> results_vector;
        result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
        std::vector<float> gold{1, 11, 3, 10, 9, 6, 7, 12};

        EXPECT(migraphx::verify_range(results_vector, gold));
    }

    {
        // r=2, q=2, k=2
        migraphx::program p;
        auto* mm   = p.get_main_module();
        auto dtype = migraphx::shape::float_type;
        auto itype = migraphx::shape::int64_type;
        migraphx::shape ds{dtype, {2, 2}};
        migraphx::shape is{itype, {2, 2}};
        migraphx::shape us{dtype, {2}};

        std::vector<float> data_vec{1, 2, 3, 4};
        std::vector<int64_t> ind_vec{0, 0, 0, 1};
        std::vector<float> upd_vec{5, 6};

        auto data    = mm->add_literal(migraphx::literal{ds, data_vec});
        auto indices = mm->add_literal(migraphx::literal{is, ind_vec});
        auto updates = mm->add_literal(migraphx::literal{us, upd_vec});
        auto scatternd =
            mm->add_instruction(migraphx::make_op("scatternd_none"), data, indices, updates);
        mm->add_return({scatternd});
        p.compile(migraphx::ref::target{});
        auto result = p.eval({}).back();
        std::vector<float> results_vector;
        result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
        std::vector<float> gold{5, 6, 3, 4};

        EXPECT(migraphx::verify_range(results_vector, gold));
    }

    {
        // r=3, q=3, k=3
        migraphx::program p;
        auto* mm   = p.get_main_module();
        auto dtype = migraphx::shape::float_type;
        auto itype = migraphx::shape::int64_type;
        migraphx::shape ds{dtype, {2, 2, 2}};
        migraphx::shape is{itype, {2, 1, 3}};
        migraphx::shape us{dtype, {2, 1}};

        std::vector<float> data_vec{1, 2, 3, 4, 5, 6, 7, 8};
        std::vector<int64_t> ind_vec{0, 0, 0, 1, 1, 1};
        std::vector<float> upd_vec{9, 10};

        auto data    = mm->add_literal(migraphx::literal{ds, data_vec});
        auto indices = mm->add_literal(migraphx::literal{is, ind_vec});
        auto updates = mm->add_literal(migraphx::literal{us, upd_vec});
        auto scatternd =
            mm->add_instruction(migraphx::make_op("scatternd_none"), data, indices, updates);
        mm->add_return({scatternd});
        p.compile(migraphx::ref::target{});
        auto result = p.eval({}).back();
        std::vector<float> results_vector;
        result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
        std::vector<float> gold{9, 2, 3, 4, 5, 6, 7, 10};

        EXPECT(migraphx::verify_range(results_vector, gold));
    }

    {
        // r=3, q=2, k=1
        migraphx::program p;
        auto* mm   = p.get_main_module();
        auto dtype = migraphx::shape::float_type;
        auto itype = migraphx::shape::int64_type;
        migraphx::shape ds{dtype, {4, 4, 4}};
        migraphx::shape is{itype, {2, 1}};
        migraphx::shape us{dtype, {2, 4, 4}};

        std::vector<float> data_vec{1, 2, 3, 4, 5, 6, 7, 8, 8, 7, 6, 5, 4, 3, 2, 1,
                                    1, 2, 3, 4, 5, 6, 7, 8, 8, 7, 6, 5, 4, 3, 2, 1,
                                    8, 7, 6, 5, 4, 3, 2, 1, 1, 2, 3, 4, 5, 6, 7, 8,
                                    8, 7, 6, 5, 4, 3, 2, 1, 1, 2, 3, 4, 5, 6, 7, 8};
        std::vector<int64_t> ind_vec{0, 2};
        std::vector<float> upd_vec{5, 5, 5, 5, 6, 6, 6, 6, 7, 7, 7, 7, 8, 8, 8, 8,
                                   1, 1, 1, 1, 2, 2, 2, 2, 3, 3, 3, 3, 4, 4, 4, 4};

        auto data    = mm->add_literal(migraphx::literal{ds, data_vec});
        auto indices = mm->add_literal(migraphx::literal{is, ind_vec});
        auto updates = mm->add_literal(migraphx::literal{us, upd_vec});
        auto scatternd =
            mm->add_instruction(migraphx::make_op("scatternd_none"), data, indices, updates);
        mm->add_return({scatternd});
        p.compile(migraphx::ref::target{});
        auto result = p.eval({}).back();
        std::vector<float> results_vector;
        result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
        std::vector<float> gold{5, 5, 5, 5, 6, 6, 6, 6, 7, 7, 7, 7, 8, 8, 8, 8, 1, 2, 3, 4, 5, 6,
                                7, 8, 8, 7, 6, 5, 4, 3, 2, 1, 1, 1, 1, 1, 2, 2, 2, 2, 3, 3, 3, 3,
                                4, 4, 4, 4, 8, 7, 6, 5, 4, 3, 2, 1, 1, 2, 3, 4, 5, 6, 7, 8};

        EXPECT(migraphx::verify_range(results_vector, gold));
    }

    {
        // r=5, q=1, k=1
        migraphx::program p;
        auto* mm   = p.get_main_module();
        auto dtype = migraphx::shape::float_type;
        auto itype = migraphx::shape::int64_type;
        migraphx::shape ds{dtype, {2, 2, 2, 2, 2}};
        migraphx::shape is{itype, {1}};
        migraphx::shape us{dtype, {2, 2, 2, 2}};

        std::vector<float> data_vec(32, 1);
        std::vector<int64_t> ind_vec{1};
        std::vector<float> upd_vec(16, 0);

        auto data    = mm->add_literal(migraphx::literal{ds, data_vec});
        auto indices = mm->add_literal(migraphx::literal{is, ind_vec});
        auto updates = mm->add_literal(migraphx::literal{us, upd_vec});
        auto scatternd =
            mm->add_instruction(migraphx::make_op("scatternd_none"), data, indices, updates);
        mm->add_return({scatternd});
        p.compile(migraphx::ref::target{});
        auto result = p.eval({}).back();
        std::vector<float> results_vector;
        result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
        std::vector<float> gold(32, 0);
        std::copy(data_vec.begin(), data_vec.begin() + 16, gold.begin());

        EXPECT(migraphx::verify_range(results_vector, gold));
    }
}

TEST_CASE(scatternd_reduction_test)
{
    {
        // reduction = add
        migraphx::program p;
        auto* mm   = p.get_main_module();
        auto dtype = migraphx::shape::float_type;
        auto itype = migraphx::shape::int64_type;
        migraphx::shape ds{dtype, {8}};
        migraphx::shape is{itype, {8, 1}};
        migraphx::shape us{dtype, {8}};

        std::vector<float> data_vec{1, 2, 3, 4, 5, 6, 7, 8};
        std::vector<int64_t> ind_vec{4, 3, 1, 7, 4, 3, 1, 7};
        std::vector<float> upd_vec{9, 10, 11, 12, -8, -9, -10, -11};

        auto data    = mm->add_literal(migraphx::literal{ds, data_vec});
        auto indices = mm->add_literal(migraphx::literal{is, ind_vec});
        auto updates = mm->add_literal(migraphx::literal{us, upd_vec});
        auto scatternd =
            mm->add_instruction(migraphx::make_op("scatternd_add"), data, indices, updates);
        mm->add_return({scatternd});
        p.compile(migraphx::ref::target{});
        auto result = p.eval({}).back();
        std::vector<float> results_vector;
        result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
        std::vector<float> gold{1, 3, 3, 5, 6, 6, 7, 9};

        EXPECT(migraphx::verify_range(results_vector, gold));
    }

    {
        // reduction = mul
        migraphx::program p;
        auto* mm   = p.get_main_module();
        auto dtype = migraphx::shape::float_type;
        auto itype = migraphx::shape::int64_type;
        migraphx::shape ds{dtype, {8}};
        migraphx::shape is{itype, {4, 1}};
        migraphx::shape us{dtype, {4}};

        std::vector<float> data_vec{1, 2, 3, 4, 5, 6, 7, 8};
        std::vector<int64_t> ind_vec{4, 3, 1, 7};
        std::vector<float> upd_vec{9, 10, 11, 12};

        auto data    = mm->add_literal(migraphx::literal{ds, data_vec});
        auto indices = mm->add_literal(migraphx::literal{is, ind_vec});
        auto updates = mm->add_literal(migraphx::literal{us, upd_vec});
        auto scatternd =
            mm->add_instruction(migraphx::make_op("scatternd_mul"), data, indices, updates);
        mm->add_return({scatternd});
        p.compile(migraphx::ref::target{});
        auto result = p.eval({}).back();
        std::vector<float> results_vector;
        result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
        std::vector<float> gold{1, 22, 3, 40, 45, 6, 7, 96};

        EXPECT(migraphx::verify_range(results_vector, gold));
    }
}

Shucai Xiao's avatar
Shucai Xiao committed
5194
TEST_CASE(sigmoid_test)
Shucai Xiao's avatar
Shucai Xiao committed
5195
5196
{
    migraphx::program p;
5197
    auto* mm = p.get_main_module();
Shucai Xiao's avatar
Shucai Xiao committed
5198
5199
5200
    migraphx::shape s{migraphx::shape::float_type, {2, 2}};
    auto l = mm->add_literal(migraphx::literal{s, {-1, 2, -3, 4}});
    mm->add_instruction(migraphx::make_op("sigmoid"), l);
5201
    p.compile(migraphx::ref::target{});
5202
    auto result = p.eval({}).back();
Shucai Xiao's avatar
Shucai Xiao committed
5203
    std::vector<float> results_vector(4);
Shucai Xiao's avatar
Shucai Xiao committed
5204
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
Shucai Xiao's avatar
Shucai Xiao committed
5205
5206
    std::vector<float> gold{sigmoid(-1), sigmoid(2), sigmoid(-3), sigmoid(4)};
    EXPECT(migraphx::verify_range(results_vector, gold));
Shucai Xiao's avatar
Shucai Xiao committed
5207
5208
}

Shucai Xiao's avatar
Shucai Xiao committed
5209
TEST_CASE(sign_test)
Shucai Xiao's avatar
Shucai Xiao committed
5210
5211
{
    migraphx::program p;
5212
    auto* mm = p.get_main_module();
Shucai Xiao's avatar
Shucai Xiao committed
5213
5214
5215
5216
    migraphx::shape s{migraphx::shape::float_type, {5}};
    auto l = mm->add_literal(
        migraphx::literal{s, {1.02481645, 0.85643062, -0.03404123, -0.92791926, 0.0}});
    mm->add_instruction(migraphx::make_op("sign"), l);
5217
    p.compile(migraphx::ref::target{});
5218
    auto result = p.eval({}).back();
Shucai Xiao's avatar
Shucai Xiao committed
5219
5220
    std::vector<float> results_vector;
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
Shucai Xiao's avatar
Shucai Xiao committed
5221
5222
    std::vector<float> gold = {1.0, 1.0, -1.0, -1.0, 0.0};
    EXPECT(migraphx::verify_range(results_vector, gold));
Shucai Xiao's avatar
Shucai Xiao committed
5223
5224
}

Shucai Xiao's avatar
Shucai Xiao committed
5225
TEST_CASE(sin_test)
Khalique's avatar
Khalique committed
5226
5227
{
    migraphx::program p;
5228
    auto* mm = p.get_main_module();
Khalique's avatar
Khalique committed
5229
    migraphx::shape s{migraphx::shape::float_type, {3}};
5230
5231
    std::vector<float> data = {-1, 0, 1};
    auto l                  = mm->add_literal(migraphx::literal{s, data});
Shucai Xiao's avatar
Shucai Xiao committed
5232
    mm->add_instruction(migraphx::make_op("sin"), l);
5233
    p.compile(migraphx::ref::target{});
5234
    auto result = p.eval({}).back();
Khalique's avatar
Khalique committed
5235
5236
    std::vector<float> results_vector(3);
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
5237
5238
5239
    std::vector<float> gold = data;
    std::transform(
        gold.begin(), gold.end(), gold.begin(), [](float n) -> float { return sinf(n); });
Khalique's avatar
Khalique committed
5240
5241
5242
    EXPECT(migraphx::verify_range(results_vector, gold));
}

Shucai Xiao's avatar
Shucai Xiao committed
5243
TEST_CASE(sinh_test)
5244
5245
{
    migraphx::program p;
5246
    auto* mm = p.get_main_module();
Shucai Xiao's avatar
Shucai Xiao committed
5247
    migraphx::shape s{migraphx::shape::float_type, {2, 2}};
5248
5249
    std::vector<float> data{-1.0, 2.0, -3.0, 4.0};
    auto l = mm->add_literal(migraphx::literal{s, data});
Shucai Xiao's avatar
Shucai Xiao committed
5250
    mm->add_instruction(migraphx::make_op("sinh"), l);
5251
    p.compile(migraphx::ref::target{});
5252
    auto result = p.eval({}).back();
Shucai Xiao's avatar
Shucai Xiao committed
5253
    std::vector<float> results_vector(4);
5254
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
5255
5256
5257
    std::vector<float> gold = data;
    std::transform(
        gold.begin(), gold.end(), gold.begin(), [](float n) -> float { return sinhf(n); });
5258
5259
5260
    EXPECT(migraphx::verify_range(results_vector, gold));
}

Shucai Xiao's avatar
Shucai Xiao committed
5261
TEST_CASE(slice_test)
Shucai Xiao's avatar
Shucai Xiao committed
5262
{
Shucai Xiao's avatar
Shucai Xiao committed
5263
5264
5265
5266
5267
5268
5269
5270
5271
5272
5273
5274
5275
5276
5277
5278
5279
5280
5281
5282
5283
5284
5285
5286
5287
5288
5289
5290
5291
5292
5293
5294
5295
5296
5297
5298
5299
5300
5301
5302
5303
5304
    {
        migraphx::program p;
        auto* mm = p.get_main_module();
        std::vector<int> data(2 * 2 * 3);
        std::iota(data.begin(), data.end(), 0);
        migraphx::shape s{migraphx::shape::int32_type, {2, 2, 3}};
        auto l0 = mm->add_literal(migraphx::literal{s, data});
        mm->add_instruction(
            migraphx::make_op("slice", {{"axes", {2}}, {"starts", {1}}, {"ends", {3}}}), l0);
        migraphx::shape s2{migraphx::shape::int32_type, {2, 2, 2}, {6, 3, 1}};
        EXPECT(p.get_output_shapes().back() == s2);
        p.compile(migraphx::ref::target{});
        migraphx::shape sresult{migraphx::shape::int32_type, {2, 2, 2}, {4, 2, 1}};
        auto result           = p.eval({}).back();
        std::vector<int> gold = {1, 2, 4, 5, 7, 8, 10, 11};
        std::vector<int> results_vector(2 * 2 * 2);
        result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
        EXPECT(migraphx::verify_range(results_vector, gold));
        EXPECT(result.get_shape() == sresult);
    }
    {
        migraphx::program p;
        auto* mm = p.get_main_module();
        std::vector<int> data(2 * 2 * 3);
        std::iota(data.begin(), data.end(), 0);
        migraphx::shape s{migraphx::shape::int32_type, {2, 2, 3}};
        auto l0 = mm->add_literal(migraphx::literal{s, data});
        mm->add_instruction(
            migraphx::make_op("slice",
                              {{"axes", {0, 1, 2}}, {"starts", {0, 0, 0}}, {"ends", {2, 2, 2}}}),
            l0);
        migraphx::shape s2{migraphx::shape::int32_type, {2, 2, 2}, {6, 3, 1}};
        EXPECT(p.get_output_shapes().back() == s2);
        p.compile(migraphx::ref::target{});
        migraphx::shape sresult{migraphx::shape::int32_type, {2, 2, 2}, {4, 2, 1}};
        auto result           = p.eval({}).back();
        std::vector<int> gold = {0, 1, 3, 4, 6, 7, 9, 10};
        std::vector<int> results_vector(2 * 2 * 2);
        result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
        EXPECT(migraphx::verify_range(results_vector, gold));
        EXPECT(result.get_shape() == sresult);
    }
Shucai Xiao's avatar
Shucai Xiao committed
5305
5306
}

Shucai Xiao's avatar
Shucai Xiao committed
5307
TEST_CASE(softmax_simple_test)
Shucai Xiao's avatar
Shucai Xiao committed
5308
5309
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
5310
5311
5312
5313
5314
5315
    auto* mm             = p.get_main_module();
    std::vector<float> a = {0.25, 0.75};
    std::vector<float> s = {0.377541, 0.622459};
    migraphx::shape a_shape{migraphx::shape::float_type, {1, 2}};
    auto al = mm->add_literal(migraphx::literal{a_shape, a});
    mm->add_instruction(migraphx::make_op("softmax", {{"axis", 1}}), al);
5316
    p.compile(migraphx::ref::target{});
5317
    auto result = p.eval({}).back();
Shucai Xiao's avatar
Shucai Xiao committed
5318
    std::vector<float> results_vector(2);
Shucai Xiao's avatar
Shucai Xiao committed
5319
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
Shucai Xiao's avatar
Shucai Xiao committed
5320
    EXPECT(migraphx::verify_range(results_vector, s));
Shucai Xiao's avatar
Shucai Xiao committed
5321
5322
}

Shucai Xiao's avatar
Shucai Xiao committed
5323
TEST_CASE(softmax_test)
5324
5325
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
5326
5327
5328
5329
5330
5331
5332
5333
5334
5335
5336
5337
5338
5339
5340
5341
5342
5343
5344
5345
5346
5347
5348
5349
5350
5351
    auto* mm             = p.get_main_module();
    std::vector<float> a = {
        -5.61869681e-01, 9.07827199e-01,  1.29255986e+00,  3.18533443e-02,  -1.22183852e-03,
        -2.83830553e-01, -1.03245842e+00, -9.28322077e-01, -8.82696748e-01, 1.11327164e-01,
        -9.20038462e-01, 8.47388089e-01,  2.51734018e-01,  1.50563884e+00,  2.23056650e+00,
        -6.17576987e-02, -1.00264274e-01, -6.10369384e-01, 1.17537189e+00,  -2.51560897e-01,
        -8.50333512e-01, -8.03578615e-01, -6.51194930e-01, -2.58137047e-01, 4.65528190e-01,
        3.23284641e-02,  -1.54700470e+00, 1.38096774e+00,  5.39869189e-01,  -7.56884992e-01,
        1.81503093e+00,  -2.11269641e+00, 1.92466557e+00,  1.77230799e+00,  2.21660900e+00,
        1.56777036e+00,  -2.08995026e-03, 3.50566894e-01,  -1.15042710e+00, -1.18577778e+00,
        8.90633047e-01,  -6.63949102e-02, 1.44661188e+00,  1.59215283e+00,  -2.56262213e-01,
        9.39079225e-01,  4.07298543e-02,  3.86590779e-01,  6.09607756e-01,  8.22331488e-01,
        -2.82126725e-01, -9.49052632e-01, -4.24012303e-01, -5.32990396e-01, -3.18386006e+00,
        3.27092171e-01,  -1.33315325e+00, 3.62459183e-01,  3.74710828e-01,  -1.30302286e+00,
        1.79680198e-01,  -4.51832324e-01, 4.34282750e-01,  -7.09520102e-01, 6.20333970e-01,
        -1.28712380e+00, 2.04130828e-01,  -7.70607769e-01, 1.61889160e+00,  -1.50951004e+00,
        -4.10505563e-01, -3.56566496e-02, -1.29747534e+00, -1.49967879e-01, 7.77626812e-01,
        -8.28408226e-02, 2.73412596e-02,  5.79780899e-03,  9.87900198e-02,  -7.95276761e-01,
        -1.38536084e+00, -6.63573861e-01, 3.89783204e-01,  -1.30670881e+00, -7.62425125e-01,
        -4.04883057e-01, 6.24344349e-01,  3.68128955e-01,  -1.01577950e+00, -3.06715906e-01,
        5.67961395e-01,  2.98198581e-01,  -1.63613629e+00, -3.75131965e-01, -6.75393403e-01,
        2.59172034e+00,  6.75538957e-01,  9.07939598e-02,  1.92257717e-01,  -1.21592450e+00,
        -2.73682117e-01, 1.25232983e+00,  -1.39969170e+00, -1.91483587e-01, 2.57732719e-01,
        3.10056299e-01,  1.41833842e+00,  -1.81386679e-01, 3.92868072e-01,  -8.14771175e-01,
        2.02392387e+00,  -9.42091495e-02, -3.77683818e-01, 2.05638766e+00,  2.93796062e-01,
        -6.02131486e-01, 2.70461679e-01,  -8.92358482e-01, 1.04388881e+00,  2.66154885e-01};
5352

Shucai Xiao's avatar
Shucai Xiao committed
5353
5354
5355
5356
5357
5358
5359
5360
5361
5362
5363
5364
5365
5366
5367
5368
5369
5370
5371
    std::vector<float> s = {
        0.30191708, 0.59879845, 0.50029165, 0.24915339, 0.36823985, 0.13190967, 0.0349741,
        0.18750034, 0.21905553, 0.27000085, 0.0547399,  0.56318235, 0.47422904, 0.78964758,
        0.91381913, 0.44601166, 0.47902739, 0.13120073, 0.4449684,  0.18766427, 0.15753111,
        0.07844277, 0.05120674, 0.36648798, 0.14637007, 0.13152322, 0.01560997, 0.29065287,
        0.49196178, 0.10550152, 0.81890774, 0.06369215, 0.62972021, 0.74931765, 0.67285055,
        0.35034987, 0.28612873, 0.31931475, 0.04220394, 0.16093165, 0.22390974, 0.11915915,
        0.3115395,  0.35899726, 0.22190949, 0.57518375, 0.13888834, 0.7753762,  0.4642328,
        0.57055861, 0.21954368, 0.34515455, 0.09486015, 0.40631217, 0.01842281, 0.48770609,
        0.06652815, 0.36023033, 0.42343026, 0.24226256, 0.17348589, 0.44066274, 0.6865865,
        0.17296699, 0.46923906, 0.06921105, 0.3570261,  0.4125829,  0.73165393, 0.15302512,
        0.29499072, 0.33932695, 0.30852377, 0.40762195, 0.40170741, 0.36259529, 0.60848355,
        0.42618036, 0.31721094, 0.02960522, 0.28256637, 0.24389413, 0.2725659,  0.10663581,
        0.27622163, 0.28264219, 0.53652936, 0.09476089, 0.40890986, 0.34848392, 0.32572666,
        0.53076893, 0.11529481, 0.29117745, 0.14625968, 0.8756339,  0.49818122, 0.10656087,
        0.1813329,  0.17664003, 0.21410346, 0.80408043, 0.02315119, 0.27155462, 0.32804728,
        0.13268511, 0.61795473, 0.49703068, 0.41696799, 0.10175809, 0.71028161, 0.29929739,
        0.17377149, 0.76075399, 0.20071237, 0.32632929, 0.36892858, 0.09416146, 0.26656723,
        0.42914796};
5372

Shucai Xiao's avatar
Shucai Xiao committed
5373
5374
    migraphx::shape a_shape{migraphx::shape::float_type, {5, 3, 4, 2}};
    auto al = mm->add_literal(migraphx::literal{a_shape, a});
Shucai Xiao's avatar
Shucai Xiao committed
5375
    mm->add_instruction(migraphx::make_op("softmax", {{"axis", 1}}), al);
Shucai Xiao's avatar
Shucai Xiao committed
5376
5377
5378
5379
5380
    p.compile(migraphx::ref::target{});
    auto result = p.eval({}).back();
    std::vector<float> results_vector(120);
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
    EXPECT(migraphx::verify_range(results_vector, s));
5381
}
5382

Shucai Xiao's avatar
Shucai Xiao committed
5383
TEST_CASE(sqdiff_test)
kahmed10's avatar
kahmed10 committed
5384
5385
{
    migraphx::program p;
5386
    auto* mm = p.get_main_module();
Shucai Xiao's avatar
Shucai Xiao committed
5387
5388
5389
5390
    migraphx::shape s{migraphx::shape::float_type, {3}};
    auto l1 = mm->add_literal(migraphx::literal{s, {-1, 0, 1}});
    auto l2 = mm->add_literal(migraphx::literal{s, {1, 2, 3}});
    mm->add_instruction(migraphx::make_op("sqdiff"), l1, l2);
5391
    p.compile(migraphx::ref::target{});
kahmed10's avatar
kahmed10 committed
5392
5393
5394
    auto result = p.eval({}).back();
    std::vector<float> results_vector(3);
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
Shucai Xiao's avatar
Shucai Xiao committed
5395
    std::vector<float> gold = {4, 4, 4};
kahmed10's avatar
kahmed10 committed
5396
5397
5398
    EXPECT(migraphx::verify_range(results_vector, gold));
}

Shucai Xiao's avatar
Shucai Xiao committed
5399
TEST_CASE(sqrt_test)
5400
5401
{
    migraphx::program p;
5402
    auto* mm = p.get_main_module();
Shucai Xiao's avatar
Shucai Xiao committed
5403
    migraphx::shape s{migraphx::shape::float_type, {5}};
5404
5405
    std::vector<float> data{1.02481645, 0.85643062, 0.03404123, 0.92791926, 0.10569184};
    auto l = mm->add_literal(migraphx::literal{s, data});
Shucai Xiao's avatar
Shucai Xiao committed
5406
    mm->add_instruction(migraphx::make_op("sqrt"), l);
5407
    p.compile(migraphx::ref::target{});
5408
    auto result = p.eval({}).back();
Shucai Xiao's avatar
Shucai Xiao committed
5409
    std::vector<float> results_vector;
5410
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
5411
5412
5413
    std::vector<float> gold = data;
    std::transform(
        gold.begin(), gold.end(), gold.begin(), [](float n) -> float { return sqrtf(n); });
Shucai Xiao's avatar
Shucai Xiao committed
5414
    EXPECT(migraphx::verify_range(results_vector, gold));
5415
5416
}

Shucai Xiao's avatar
Shucai Xiao committed
5417
TEST_CASE(squeeze_test)
5418
{
Shucai Xiao's avatar
Shucai Xiao committed
5419
5420
5421
5422
5423
5424
5425
5426
5427
5428
5429
5430
5431
5432
5433
5434
5435
5436
5437
5438
5439
5440
5441
5442
    {
        migraphx::program p;
        auto* mm = p.get_main_module();
        std::vector<float> data(4 * 3 * 3);
        migraphx::shape s1{migraphx::shape::float_type, {4, 1, 3, 1, 3}};
        migraphx::shape s2{migraphx::shape::float_type, {4, 3, 1, 3}};
        auto l0 = mm->add_literal(migraphx::literal{s1, data});
        mm->add_instruction(migraphx::make_op("squeeze", {{"axes", {1}}}), l0);
        p.compile(migraphx::ref::target{});
        auto result = p.eval({}).back();
        EXPECT(result.get_shape() == s2);
    }
    {
        migraphx::program p;
        auto* mm = p.get_main_module();
        std::vector<float> data(4 * 3 * 3);
        migraphx::shape s1{migraphx::shape::float_type, {4, 1, 3, 1, 3}};
        migraphx::shape s2{migraphx::shape::float_type, {4, 1, 3, 3}};
        auto l0 = mm->add_literal(migraphx::literal{s1, data});
        mm->add_instruction(migraphx::make_op("squeeze", {{"axes", {3}}}), l0);
        p.compile(migraphx::ref::target{});
        auto result = p.eval({}).back();
        EXPECT(result.get_shape() == s2);
    }
5443

Shucai Xiao's avatar
Shucai Xiao committed
5444
5445
5446
5447
5448
5449
5450
5451
5452
5453
5454
5455
    {
        migraphx::program p;
        auto* mm = p.get_main_module();
        std::vector<float> data(4 * 3 * 3);
        migraphx::shape s1{migraphx::shape::float_type, {4, 1, 3, 1, 3}};
        migraphx::shape s2{migraphx::shape::float_type, {4, 3, 3}};
        auto l0 = mm->add_literal(migraphx::literal{s1, data});
        mm->add_instruction(migraphx::make_op("squeeze"), l0);
        p.compile(migraphx::ref::target{});
        auto result = p.eval({}).back();
        EXPECT(result.get_shape() == s2);
    }
5456
5457
}

Shucai Xiao's avatar
Shucai Xiao committed
5458
5459
5460
5461
5462
5463
5464
5465
5466
5467
5468
5469
5470
5471
5472
5473
5474
5475
5476
5477
5478
5479
5480
5481
5482
TEST_CASE(step_test)
{
    {
        migraphx::program p;
        auto* mm = p.get_main_module();
        std::vector<float> data(2 * 4 * 6);
        std::iota(data.begin(), data.end(), 2);
        migraphx::shape s1{migraphx::shape::float_type, {2, 1, 4, 6}};
        auto l0 = mm->add_literal(migraphx::literal{s1, data});
        auto r  = mm->add_instruction(
            migraphx::make_op("step", {{"axes", {0, 2, 3}}, {"steps", {2, 2, 3}}}), l0);
        mm->add_return({r});
        p.compile(migraphx::ref::target{});
        auto result = p.eval({}).back();
        migraphx::shape s2{migraphx::shape::float_type, {1, 1, 2, 2}};
        EXPECT(result.get_shape() == s2);
    }

    {
        migraphx::program p;
        auto* mm = p.get_main_module();
        std::vector<float> data(2 * 4 * 6);
        std::iota(data.begin(), data.end(), 2);
        migraphx::shape s1{migraphx::shape::float_type, {2, 1, 4, 6}};
        auto l0 = mm->add_literal(migraphx::literal{s1, data});
5483
5484
5485
        auto tl = mm->add_instruction(
            migraphx::make_op("transpose", {{"permutation", {0, 2, 3, 1}}}), l0);
        auto r = mm->add_instruction(
Shucai Xiao's avatar
Shucai Xiao committed
5486
5487
5488
5489
5490
5491
5492
5493
5494
            migraphx::make_op("step", {{"axes", {0, 1, 2}}, {"steps", {2, 2, 3}}}), tl);
        mm->add_return({r});
        p.compile(migraphx::ref::target{});
        auto result = p.eval({}).back();
        migraphx::shape s2{migraphx::shape::float_type, {1, 2, 2, 1}};
        EXPECT(result.get_shape() == s2);
    }
}

Shucai Xiao's avatar
Shucai Xiao committed
5495
TEST_CASE(sub_test)
5496
5497
{
    migraphx::program p;
5498
    auto* mm = p.get_main_module();
Shucai Xiao's avatar
Shucai Xiao committed
5499
5500
5501
5502
    migraphx::shape s{migraphx::shape::float_type, {3}};
    auto l1 = mm->add_literal(migraphx::literal{s, {-1, 0, 1}});
    auto l2 = mm->add_literal(migraphx::literal{s, {1, 2, 3}});
    mm->add_instruction(migraphx::make_op("sub"), l1, l2);
5503
    p.compile(migraphx::ref::target{});
5504
    auto result = p.eval({}).back();
Shucai Xiao's avatar
Shucai Xiao committed
5505
    std::vector<float> results_vector(3);
5506
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
Shucai Xiao's avatar
Shucai Xiao committed
5507
5508
    std::vector<float> gold = {-2, -2, -2};
    EXPECT(migraphx::verify_range(results_vector, gold));
5509
5510
}

Shucai Xiao's avatar
Shucai Xiao committed
5511
TEST_CASE(tan_test)
5512
5513
{
    migraphx::program p;
5514
    auto* mm = p.get_main_module();
Shucai Xiao's avatar
Shucai Xiao committed
5515
    migraphx::shape s{migraphx::shape::float_type, {3}};
5516
5517
    std::vector<float> data{-1, 0, 1};
    auto l = mm->add_literal(migraphx::literal{s, data});
Shucai Xiao's avatar
Shucai Xiao committed
5518
    mm->add_instruction(migraphx::make_op("tan"), l);
5519
    p.compile(migraphx::ref::target{});
5520
    auto result = p.eval({}).back();
Shucai Xiao's avatar
Shucai Xiao committed
5521
    std::vector<float> results_vector(3);
5522
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
5523
5524
5525
    std::vector<float> gold = data;
    std::transform(
        gold.begin(), gold.end(), gold.begin(), [](float n) -> float { return tanf(n); });
Shucai Xiao's avatar
Shucai Xiao committed
5526
    EXPECT(migraphx::verify_range(results_vector, gold));
5527
5528
}

Shucai Xiao's avatar
Shucai Xiao committed
5529
TEST_CASE(tanh_test)
5530
5531
{
    migraphx::program p;
5532
    auto* mm = p.get_main_module();
Shucai Xiao's avatar
Shucai Xiao committed
5533
    migraphx::shape s{migraphx::shape::float_type, {2, 2}};
5534
5535
    std::vector<float> data{-1.0, 2.0, -3.0, 4.0};
    auto l = mm->add_literal(migraphx::literal{s, data});
Shucai Xiao's avatar
Shucai Xiao committed
5536
    mm->add_instruction(migraphx::make_op("tanh"), l);
5537
    p.compile(migraphx::ref::target{});
5538
    auto result = p.eval({}).back();
Shucai Xiao's avatar
Shucai Xiao committed
5539
    std::vector<float> results_vector(4);
5540
    result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
5541
5542
5543
    std::vector<float> gold = data;
    std::transform(
        gold.begin(), gold.end(), gold.begin(), [](float n) -> float { return tanhf(n); });
Shucai Xiao's avatar
Shucai Xiao committed
5544
    EXPECT(migraphx::verify_range(results_vector, gold));
5545
5546
}

Shucai Xiao's avatar
Shucai Xiao committed
5547
5548
5549
5550
5551
5552
5553
5554
5555
5556
5557
5558
5559
5560
5561
5562
5563
5564
5565
5566
5567
5568
5569
5570
5571
5572
5573
5574
5575
5576
5577
5578
5579
5580
5581
5582
5583
5584
5585
5586
5587
5588
5589
5590
5591
5592
5593
5594
5595
5596
5597
5598
TEST_CASE(topk_test)
{
    auto create_program = [](int64_t k, int64_t axis, int largest) {
        migraphx::program p;
        auto* mm = p.get_main_module();
        migraphx::shape s{migraphx::shape::float_type, {3, 5}};
        auto data = mm->add_parameter("data", s);
        auto r    = mm->add_instruction(
            migraphx::make_op("topk", {{"axis", axis}, {"k", k}, {"largest", largest}}), data);
        auto r0 = mm->add_instruction(migraphx::make_op("get_tuple_elem", {{"index", 0}}), r);
        auto r1 = mm->add_instruction(migraphx::make_op("get_tuple_elem", {{"index", 1}}), r);
        mm->add_return({r0, r1});

        return p;
    };

    auto run_program = [&](int64_t k, int64_t axis, int largest) {
        auto p = create_program(k, axis, largest);
        p.compile(migraphx::ref::target{});
        std::vector<float> data = {
            2.1, 2.3, 2.0, 2.5, 1.9, 3.3, 0.2, 4.5, 0.1, 0.8, 1.0, 4.5, 2.1, 0.8, 1.5};
        migraphx::shape s{migraphx::shape::float_type, {3, 5}};
        migraphx::parameter_map pp;
        pp["data"] = migraphx::argument(s, data.data());
        auto rets  = p.eval(pp);
        std::vector<float> ret_val;
        rets.front().visit([&](auto v) { ret_val.assign(v.begin(), v.end()); });
        std::vector<int64_t> ret_ind;
        rets.back().visit([&](auto v) { ret_ind.assign(v.begin(), v.end()); });

        return std::make_pair(ret_val, ret_ind);
    };

    // case 1
    {
        auto results                = run_program(4, 1, 1);
        std::vector<float> gold_val = {2.5, 2.3, 2.1, 2, 4.5, 3.3, 0.8, 0.2, 4.5, 2.1, 1.5, 1};
        EXPECT(results.first == gold_val);
        std::vector<int64_t> gold_ind = {3, 1, 0, 2, 2, 0, 4, 1, 1, 2, 4, 0};
        EXPECT(results.second == gold_ind);
    }

    // case 2
    {
        auto results                = run_program(4, 1, 0);
        std::vector<float> gold_val = {1.9, 2, 2.1, 2.3, 0.1, 0.2, 0.8, 3.3, 0.8, 1, 1.5, 2.1};
        EXPECT(results.first == gold_val);
        std::vector<int64_t> gold_ind = {4, 2, 0, 1, 3, 1, 4, 0, 3, 0, 4, 2};
        EXPECT(results.second == gold_ind);
    }
}

Shucai Xiao's avatar
Shucai Xiao committed
5599
TEST_CASE(transpose_test)
5600
{
Shucai Xiao's avatar
Shucai Xiao committed
5601
5602
5603
    migraphx::shape a_shape{migraphx::shape::float_type, {1, 2, 2, 3}};
    std::vector<float> data(12);
    std::iota(data.begin(), data.end(), 0);
5604

Shucai Xiao's avatar
Shucai Xiao committed
5605
5606
5607
5608
5609
    {
        migraphx::program p;
        auto* mm                  = p.get_main_module();
        auto l                    = mm->add_literal(migraphx::literal{a_shape, data});
        std::vector<int64_t> perm = {0, 3, 1, 2};
5610
        mm->add_instruction(migraphx::make_op("transpose", {{"permutation", perm}}), l);
Shucai Xiao's avatar
Shucai Xiao committed
5611
5612
5613
5614
5615
5616
5617
5618
5619
5620
5621
5622
5623
        p.compile(migraphx::ref::target{});
        auto result = p.eval({}).back();

        result.visit([&](auto output) {
            std::vector<size_t> new_lens = {1, 3, 2, 2};
            EXPECT(bool{output.get_shape().lens() == new_lens});
        });
    }
    {
        migraphx::program p;
        auto* mm                  = p.get_main_module();
        auto l                    = mm->add_literal(migraphx::literal{a_shape, data});
        std::vector<int64_t> perm = {0, 3, 1, 2};
5624
5625
        auto result =
            mm->add_instruction(migraphx::make_op("transpose", {{"permutation", perm}}), l);
Shucai Xiao's avatar
Shucai Xiao committed
5626
5627
5628
5629
5630
5631
5632
5633
5634
5635
5636
5637
5638
5639
5640
5641
5642
5643
5644
5645
5646
5647
5648
5649
5650
5651
5652
5653
5654
5655
5656
5657
5658
5659
5660
5661
5662
        mm->add_instruction(migraphx::make_op("contiguous"), result);
        p.compile(migraphx::ref::target{});
        auto result2 = p.eval({}).back();

        std::vector<float> results_vector(12);
        result2.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
        std::vector<float> gold = {0, 3, 6, 9, 1, 4, 7, 10, 2, 5, 8, 11};
        EXPECT(migraphx::verify_range(results_vector, gold));
    }
}

TEST_CASE(unsqueeze_test)
{
    {
        migraphx::program p;
        auto* mm = p.get_main_module();
        std::vector<float> data(4 * 3 * 3);
        migraphx::shape s1{migraphx::shape::float_type, {4, 3, 3}};
        migraphx::shape s2{migraphx::shape::float_type, {4, 1, 3, 3}};
        auto l0 = mm->add_literal(migraphx::literal{s1, data});
        mm->add_instruction(migraphx::make_op("unsqueeze", {{"axes", {1}}}), l0);
        p.compile(migraphx::ref::target{});
        auto result = p.eval({}).back();
        EXPECT(result.get_shape() == s2);
    }
    {
        migraphx::program p;
        auto* mm = p.get_main_module();
        std::vector<float> data(4 * 3 * 3);
        migraphx::shape s1{migraphx::shape::float_type, {4, 3, 3}};
        migraphx::shape s2{migraphx::shape::float_type, {4, 3, 1, 3}};
        auto l0 = mm->add_literal(migraphx::literal{s1, data});
        mm->add_instruction(migraphx::make_op("unsqueeze", {{"axes", {2}}}), l0);
        p.compile(migraphx::ref::target{});
        auto result = p.eval({}).back();
        EXPECT(result.get_shape() == s2);
    }
5663
5664
}

turneram's avatar
turneram committed
5665
5666
5667
5668
5669
5670
5671
5672
5673
5674
5675
5676
5677
5678
5679
5680
5681
5682
5683
5684
5685
5686
5687
5688
5689
5690
5691
5692
5693
5694
5695
5696
5697
5698
5699
5700
5701
5702
5703
5704
5705
5706
5707
5708
5709
5710
5711
5712
5713
5714
5715
5716
5717
5718
5719
TEST_CASE(where_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    migraphx::shape sb{migraphx::shape::bool_type, {3, 3}};
    migraphx::shape sx{migraphx::shape::float_type, {3, 3}};

    std::vector<bool> b{true, true, true, false, false, false, true, false, true};
    std::vector<float> x(9, 1.0);
    std::vector<float> y(9, 2.0);

    auto lb = mm->add_literal(migraphx::literal{sb, b});
    auto lx = mm->add_literal(migraphx::literal{sx, x});
    auto ly = mm->add_literal(migraphx::literal{sx, y});
    auto w  = mm->add_instruction(migraphx::make_op("where"), lb, lx, ly);
    mm->add_return({w});
    p.compile(migraphx::ref::target{});
    auto result = p.eval({}).back();
    std::vector<float> result_vec;
    result.visit([&](auto output) { result_vec.assign(output.begin(), output.end()); });
    std::vector<float> gold(9);
    for(int i = 0; i < gold.size(); ++i)
        gold[i] = b[i] ? x[i] : y[i];

    EXPECT(migraphx::verify_range(result_vec, gold));
}

TEST_CASE(where_broadcasted_inputs_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    migraphx::shape sb{migraphx::shape::bool_type, {3, 3}};

    std::vector<bool> b{true, true, true, false, false, false, true, false, true};

    auto lb  = mm->add_literal(migraphx::literal{sb, b});
    auto lx  = mm->add_literal(migraphx::literal(1.0f));
    auto ly  = mm->add_literal(migraphx::literal(2.0f));
    auto mbx = mm->add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", {3, 3}}}), lx);
    auto mby = mm->add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", {3, 3}}}), ly);
    auto w   = mm->add_instruction(migraphx::make_op("where"), lb, mbx, mby);
    mm->add_return({w});
    p.compile(migraphx::ref::target{});
    auto result = p.eval({}).back();
    std::vector<float> result_vec;
    result.visit([&](auto output) { result_vec.assign(output.begin(), output.end()); });
    std::vector<float> gold(9);
    std::vector<float> x(9, 1.0);
    std::vector<float> y(9, 2.0);
    for(int i = 0; i < gold.size(); ++i)
        gold[i] = b[i] ? x[i] : y[i];

    EXPECT(migraphx::verify_range(result_vec, gold));
}

Paul's avatar
Paul committed
5720
int main(int argc, const char* argv[]) { test::run(argc, argv); }