onnx_test.cpp 244 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.
 */
Scott Thornton's avatar
Scott Thornton committed
24
#include <iostream>
Shucai Xiao's avatar
Shucai Xiao committed
25
#include <fstream>
Scott Thornton's avatar
Scott Thornton committed
26
#include <vector>
turneram's avatar
turneram committed
27
#include <random>
28
#include <migraphx/common.hpp>
29
#include <migraphx/apply_alpha_beta.hpp>
Paul's avatar
Paul committed
30
31
32
#include <migraphx/literal.hpp>
#include <migraphx/program.hpp>
#include <migraphx/instruction.hpp>
Shucai Xiao's avatar
Shucai Xiao committed
33
#include <migraphx/instruction_ref.hpp>
Shucai Xiao's avatar
Shucai Xiao committed
34
35
#include <migraphx/pass_manager.hpp>
#include <migraphx/dead_code_elimination.hpp>
turneram's avatar
turneram committed
36
#include <migraphx/rewrite_quantization.hpp>
Shucai Xiao's avatar
Shucai Xiao committed
37
#include <migraphx/eliminate_identity.hpp>
Paul's avatar
Paul committed
38
#include <migraphx/onnx.hpp>
39
#include <migraphx/make_op.hpp>
turneram's avatar
turneram committed
40
41
42
43
44
#include <migraphx/op/convolution.hpp>
#include <migraphx/op/pooling.hpp>
#include <migraphx/op/lrn.hpp>
#include <migraphx/op/reshape.hpp>
#include <migraphx/op/unknown.hpp>
45
#include <random>
46
47
48

#include <migraphx/serialize.hpp>

Scott Thornton's avatar
Scott Thornton committed
49
50
#include "test.hpp"

turneram's avatar
turneram committed
51
migraphx::program optimize_onnx(const std::string& name, bool run_passes = false)
Shucai Xiao's avatar
Shucai Xiao committed
52
{
53
54
55
    migraphx::onnx_options options;
    options.skip_unknown_operators = true;
    auto prog                      = migraphx::parse_onnx(name, options);
56
    auto* mm                       = prog.get_main_module();
turneram's avatar
turneram committed
57
58
59
    if(run_passes)
        migraphx::run_passes(*mm,
                             {migraphx::rewrite_quantization{}, migraphx::dead_code_elimination{}});
Shucai Xiao's avatar
Shucai Xiao committed
60
61

    // remove the last identity instruction
62
    auto last_ins = std::prev(mm->end());
63
    if(last_ins->name() == "@return")
Shucai Xiao's avatar
Shucai Xiao committed
64
    {
65
        mm->remove_instruction(last_ins);
Shucai Xiao's avatar
Shucai Xiao committed
66
67
68
69
70
    }

    return prog;
}

71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
void add_celu_instruction(migraphx::module* mm, const migraphx::shape& s, float alpha)
{
    auto x                 = mm->add_parameter("x", s);
    const auto& input_lens = s.lens();
    const auto& input_type = s.type();
    auto zero_lit =
        mm->add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", input_lens}}),
                            mm->add_literal(migraphx::literal{migraphx::shape{input_type}, {0.}}));
    auto one_lit =
        mm->add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", input_lens}}),
                            mm->add_literal(migraphx::literal{migraphx::shape{input_type}, {1.}}));
    auto alpha_lit = mm->add_instruction(
        migraphx::make_op("multibroadcast", {{"out_lens", input_lens}}),
        mm->add_literal(migraphx::literal{migraphx::shape{input_type}, {alpha}}));
    auto linear_part = mm->add_instruction(migraphx::make_op("max"), zero_lit, x);
    auto divi        = mm->add_instruction(migraphx::make_op("div"), x, alpha_lit);
    auto expo        = mm->add_instruction(migraphx::make_op("exp"), divi);
    auto sub         = mm->add_instruction(migraphx::make_op("sub"), expo, one_lit);
    auto mul         = mm->add_instruction(migraphx::make_op("mul"), alpha_lit, sub);
    auto exp_part    = mm->add_instruction(migraphx::make_op("min"), zero_lit, mul);
    mm->add_instruction(migraphx::make_op("add"), linear_part, exp_part);
}

Charlie Lin's avatar
Charlie Lin committed
94
95
96
97
98
99
100
101
102
103
104
static std::vector<double> make_r_eyelike(size_t num_rows, size_t num_cols, size_t k)
{
    std::vector<double> eyelike_mat(num_rows * num_cols, 0);
    for(size_t i = 0; i < num_rows; ++i)
    {
        if(i + k < num_cols)
            eyelike_mat[(num_cols + 1) * i + k] = 1.;
    }
    return eyelike_mat;
}

Khalique's avatar
Khalique committed
105
TEST_CASE(acos_test)
Scott Thornton's avatar
Scott Thornton committed
106
{
Paul's avatar
Paul committed
107
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
108
109
    auto* mm   = p.get_main_module();
    auto input = mm->add_parameter("x", migraphx::shape{migraphx::shape::float_type, {10}});
110
    mm->add_instruction(migraphx::make_op("acos"), input);
Scott Thornton's avatar
Scott Thornton committed
111

Shucai Xiao's avatar
Shucai Xiao committed
112
    auto prog = optimize_onnx("acos_test.onnx");
Scott Thornton's avatar
Scott Thornton committed
113
114
115
116

    EXPECT(p == prog);
}

117
118
119
TEST_CASE(acosh_test)
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
120
121
    auto* mm   = p.get_main_module();
    auto input = mm->add_parameter("x", migraphx::shape{migraphx::shape::float_type, {10}});
122
    mm->add_instruction(migraphx::make_op("acosh"), input);
123
124
125
126
127
128

    auto prog = optimize_onnx("acosh_test.onnx");

    EXPECT(p == prog);
}

Khalique's avatar
Khalique committed
129
TEST_CASE(add_bcast_test)
130
{
Paul's avatar
Paul committed
131
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
132
133
134
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("0", migraphx::shape{migraphx::shape::float_type, {2, 3, 4, 5}});
    auto l1  = mm->add_parameter("1", migraphx::shape{migraphx::shape::float_type, {3, 4}});
135
    auto l2  = mm->add_instruction(
136
        migraphx::make_op("broadcast", {{"axis", 1}, {"out_lens", l0->get_shape().lens()}}), l1);
137
    mm->add_instruction(migraphx::make_op("add"), l0, l2);
Paul's avatar
Paul committed
138

Shucai Xiao's avatar
Shucai Xiao committed
139
    auto prog = optimize_onnx("add_bcast_test.onnx");
Paul's avatar
Paul committed
140

141
142
143
    EXPECT(p == prog);
}

Khalique's avatar
Khalique committed
144
TEST_CASE(add_fp16_test)
Scott Thornton's avatar
Scott Thornton committed
145
{
Paul's avatar
Paul committed
146
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
147
    auto* mm = p.get_main_module();
Khalique's avatar
Khalique committed
148
    auto l0 =
Shucai Xiao's avatar
Shucai Xiao committed
149
        mm->add_literal(migraphx::literal{migraphx::shape{migraphx::shape::half_type, {1}}, {1.5}});
Khalique's avatar
Khalique committed
150
    auto l1 =
Shucai Xiao's avatar
Shucai Xiao committed
151
        mm->add_literal(migraphx::literal{migraphx::shape{migraphx::shape::half_type, {1}}, {2.5}});
152
    mm->add_instruction(migraphx::make_op("add"), l0, l1);
Shucai Xiao's avatar
Shucai Xiao committed
153
    auto prog = optimize_onnx("add_fp16_test.onnx");
Scott Thornton's avatar
Scott Thornton committed
154
155
156
157

    EXPECT(p == prog);
}

Khalique's avatar
Khalique committed
158
TEST_CASE(add_scalar_test)
159
{
Paul's avatar
Paul committed
160
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
161
162
163
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("0", migraphx::shape{migraphx::shape::uint8_type, {2, 3, 4, 5}});
    auto l1  = mm->add_parameter("1", migraphx::shape{migraphx::shape::uint8_type});
164
165
    auto m1 =
        mm->add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", {2, 3, 4, 5}}}), l1);
166
    auto r = mm->add_instruction(migraphx::make_op("add"), l0, m1);
Shucai Xiao's avatar
Shucai Xiao committed
167
    mm->add_return({r});
168
    auto prog = migraphx::parse_onnx("add_scalar_test.onnx");
169
170
171
172

    EXPECT(p == prog);
}

Khalique's avatar
Khalique committed
173
TEST_CASE(argmax_test)
Khalique's avatar
Khalique committed
174
{
Paul's avatar
Paul committed
175
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
176
177
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("x", migraphx::shape{migraphx::shape::float_type, {3, 4, 5, 6}});
178
179
    auto ins = mm->add_instruction(migraphx::make_op("argmax", {{"axis", 2}}), l0);
    mm->add_instruction(migraphx::make_op("squeeze", {{"axes", {2}}}), ins);
Shucai Xiao's avatar
Shucai Xiao committed
180
    auto prog = optimize_onnx("argmax_test.onnx");
Khalique's avatar
Khalique committed
181
182
183
184

    EXPECT(p == prog);
}

Khalique's avatar
Khalique committed
185
TEST_CASE(argmin_test)
186
{
Paul's avatar
Paul committed
187
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
188
189
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("x", migraphx::shape{migraphx::shape::float_type, {3, 4, 5, 6}});
190
191
    auto ins = mm->add_instruction(migraphx::make_op("argmin", {{"axis", 3}}), l0);
    mm->add_instruction(migraphx::make_op("squeeze", {{"axes", {3}}}), ins);
Shucai Xiao's avatar
Shucai Xiao committed
192
    auto prog = optimize_onnx("argmin_test.onnx");
193
194
195
196

    EXPECT(p == prog);
}

Khalique's avatar
Khalique committed
197
TEST_CASE(asin_test)
198
{
Paul's avatar
Paul committed
199
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
200
201
    auto* mm   = p.get_main_module();
    auto input = mm->add_parameter("x", migraphx::shape{migraphx::shape::float_type, {10}});
202
    mm->add_instruction(migraphx::make_op("asin"), input);
203

Shucai Xiao's avatar
Shucai Xiao committed
204
    auto prog = optimize_onnx("asin_test.onnx");
205
206
207
208

    EXPECT(p == prog);
}

209
210
211
TEST_CASE(asinh_test)
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
212
213
    auto* mm   = p.get_main_module();
    auto input = mm->add_parameter("x", migraphx::shape{migraphx::shape::float_type, {10}});
214
    mm->add_instruction(migraphx::make_op("asinh"), input);
215
216
217
218
219
220

    auto prog = optimize_onnx("asinh_test.onnx");

    EXPECT(p == prog);
}

Khalique's avatar
Khalique committed
221
TEST_CASE(atan_test)
Khalique's avatar
Khalique committed
222
{
Paul's avatar
Paul committed
223
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
224
225
    auto* mm   = p.get_main_module();
    auto input = mm->add_parameter("x", migraphx::shape{migraphx::shape::float_type, {10}});
226
    mm->add_instruction(migraphx::make_op("atan"), input);
Khalique's avatar
Khalique committed
227

Shucai Xiao's avatar
Shucai Xiao committed
228
    auto prog = optimize_onnx("atan_test.onnx");
Khalique's avatar
Khalique committed
229
230
231
232

    EXPECT(p == prog);
}

233
234
235
TEST_CASE(atanh_test)
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
236
237
    auto* mm   = p.get_main_module();
    auto input = mm->add_parameter("x", migraphx::shape{migraphx::shape::float_type, {10}});
238
    mm->add_instruction(migraphx::make_op("atanh"), input);
239
240
241
242
243
244

    auto prog = optimize_onnx("atanh_test.onnx");

    EXPECT(p == prog);
}

245
246
247
TEST_CASE(averagepool_1d_test)
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
248
249
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("0", {migraphx::shape::float_type, {1, 3, 5}});
250
251
252
253
254
255
    mm->add_instruction(migraphx::make_op("pooling",
                                          {{"mode", migraphx::op::pooling_mode::average},
                                           {"padding", {0, 0}},
                                           {"stride", {1}},
                                           {"lengths", {3}}}),
                        l0);
256
257
258
259
260
261
262
263

    auto prog = optimize_onnx("averagepool_1d_test.onnx");
    EXPECT(p == prog);
}

TEST_CASE(averagepool_3d_test)
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
264
265
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("0", {migraphx::shape::float_type, {1, 3, 5, 5, 5}});
266
    mm->add_instruction(migraphx::make_op("pooling",
267
                                          {{"mode", migraphx::op::pooling_mode::average},
kahmed10's avatar
kahmed10 committed
268
                                           {"padding", {0, 0, 0, 0, 0, 0}},
269
270
271
                                           {"stride", {1, 1, 1}},
                                           {"lengths", {3, 3, 3}}}),
                        l0);
272
273
274
275
276

    auto prog = optimize_onnx("averagepool_3d_test.onnx");
    EXPECT(p == prog);
}

277
TEST_CASE(averagepool_notset_test)
278
279
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
280
281
    auto* mm   = p.get_main_module();
    auto input = mm->add_parameter("x", migraphx::shape{migraphx::shape::float_type, {1, 1, 5, 5}});
kahmed10's avatar
kahmed10 committed
282
    auto ins   = mm->add_instruction(migraphx::make_op("pooling",
283
                                                     {{"mode", migraphx::op::pooling_mode::average},
kahmed10's avatar
kahmed10 committed
284
285
286
287
288
                                                      {"padding", {2, 2, 2, 2}},
                                                      {"stride", {2, 2}},
                                                      {"lengths", {6, 6}}}),
                                   input);
    auto ret   = mm->add_instruction(
289
        migraphx::make_op("slice", {{"axes", {2, 3}}, {"starts", {1, 1}}, {"ends", {2, 2}}}), ins);
Shucai Xiao's avatar
Shucai Xiao committed
290
    mm->add_return({ret});
291
292
293
294
295
296
    auto prog = migraphx::parse_onnx("averagepool_notset_test.onnx");

    EXPECT(p == prog);
}

TEST_CASE(averagepool_nt_cip_test)
297
298
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
299
300
    auto* mm   = p.get_main_module();
    auto input = mm->add_parameter("x", migraphx::shape{migraphx::shape::float_type, {1, 1, 5, 5}});
301
    std::vector<int64_t> pads = {0, 0, 0, 0, 0, 0, 1, 1};
302
    auto ins_pad = mm->add_instruction(migraphx::make_op("pad", {{"pads", pads}}), input);
kahmed10's avatar
kahmed10 committed
303
    auto ret     = mm->add_instruction(migraphx::make_op("pooling",
304
                                                     {{"mode", migraphx::op::pooling_mode::average},
kahmed10's avatar
kahmed10 committed
305
306
307
308
                                                      {"padding", {0, 0, 0, 0}},
                                                      {"stride", {2, 2}},
                                                      {"lengths", {6, 6}}}),
                                   ins_pad);
Shucai Xiao's avatar
Shucai Xiao committed
309
    mm->add_return({ret});
310

311
    auto prog = migraphx::parse_onnx("averagepool_nt_cip_test.onnx");
312
313
314
315
    EXPECT(p == prog);
}

TEST_CASE(averagepool_same_lower_test)
316
317
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
318
319
    auto* mm   = p.get_main_module();
    auto input = mm->add_parameter("x", migraphx::shape{migraphx::shape::float_type, {1, 1, 5, 5}});
kahmed10's avatar
kahmed10 committed
320
    auto ins   = mm->add_instruction(migraphx::make_op("pooling",
321
                                                     {{"mode", migraphx::op::pooling_mode::average},
kahmed10's avatar
kahmed10 committed
322
323
324
325
326
                                                      {"padding", {1, 1, 1, 1}},
                                                      {"stride", {1, 1}},
                                                      {"lengths", {2, 2}}}),
                                   input);
    auto ret   = mm->add_instruction(
327
        migraphx::make_op("slice", {{"axes", {2, 3}}, {"starts", {0, 0}}, {"ends", {5, 5}}}), ins);
Shucai Xiao's avatar
Shucai Xiao committed
328
    mm->add_return({ret});
329
330
331
332
333
334
    auto prog = migraphx::parse_onnx("averagepool_same_lower_test.onnx");

    EXPECT(p == prog);
}

TEST_CASE(averagepool_sl_cip_test)
335
336
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
337
338
    auto* mm   = p.get_main_module();
    auto input = mm->add_parameter("x", migraphx::shape{migraphx::shape::float_type, {1, 1, 5, 5}});
339
    std::vector<int64_t> pads = {0, 0, 1, 1, 0, 0, 0, 0};
340
    auto ins_pad = mm->add_instruction(migraphx::make_op("pad", {{"pads", pads}}), input);
kahmed10's avatar
kahmed10 committed
341
    auto ret     = mm->add_instruction(migraphx::make_op("pooling",
342
                                                     {{"mode", migraphx::op::pooling_mode::average},
kahmed10's avatar
kahmed10 committed
343
344
345
346
                                                      {"padding", {0, 0, 0, 0}},
                                                      {"stride", {1, 1}},
                                                      {"lengths", {2, 2}}}),
                                   ins_pad);
Shucai Xiao's avatar
Shucai Xiao committed
347
    mm->add_return({ret});
348
    auto prog = migraphx::parse_onnx("averagepool_sl_cip_test.onnx");
349
350
351
352
353
354
355

    EXPECT(p == prog);
}

TEST_CASE(averagepool_same_upper_test)
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
356
357
    auto* mm   = p.get_main_module();
    auto input = mm->add_parameter("x", migraphx::shape{migraphx::shape::float_type, {1, 1, 5, 5}});
kahmed10's avatar
kahmed10 committed
358
    auto ins   = mm->add_instruction(migraphx::make_op("pooling",
359
                                                     {{"mode", migraphx::op::pooling_mode::average},
kahmed10's avatar
kahmed10 committed
360
361
362
363
364
                                                      {"padding", {1, 1, 1, 1}},
                                                      {"stride", {1, 1}},
                                                      {"lengths", {2, 2}}}),
                                   input);
    auto ret   = mm->add_instruction(
365
        migraphx::make_op("slice", {{"axes", {2, 3}}, {"starts", {1, 1}}, {"ends", {6, 6}}}), ins);
Shucai Xiao's avatar
Shucai Xiao committed
366
    mm->add_return({ret});
367
    auto prog = migraphx::parse_onnx("averagepool_same_upper_test.onnx");
368
369
370
371

    EXPECT(p == prog);
}

372
TEST_CASE(batch_norm_flat_test)
373
374
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
375
    auto* mm = p.get_main_module();
376

377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
    auto x     = mm->add_parameter("x", {migraphx::shape::float_type, {10}});
    auto scale = mm->add_parameter("scale", {migraphx::shape::float_type, {1}});
    auto bias  = mm->add_parameter("bias", {migraphx::shape::float_type, {1}});
    auto mean  = mm->add_parameter("mean", {migraphx::shape::float_type, {1}});
    auto var   = mm->add_parameter("variance", {migraphx::shape::float_type, {1}});

    auto rt  = mm->add_literal(migraphx::literal{migraphx::shape::float_type, {0.5}});
    auto eps = mm->add_literal(migraphx::literal{migraphx::shape::float_type, {1e-6f}});

    auto numer   = add_common_op(*mm, migraphx::make_op("sub"), {x, mean});
    auto var_eps = add_common_op(*mm, migraphx::make_op("add"), {var, eps});
    auto denom   = add_common_op(*mm, migraphx::make_op("pow"), {var_eps, rt});
    auto div0    = add_common_op(*mm, migraphx::make_op("div"), {numer, denom});
    auto r0      = add_common_op(*mm, migraphx::make_op("mul"), {div0, scale});
    add_common_op(*mm, migraphx::make_op("add"), {r0, bias});

    auto prog = optimize_onnx("batch_norm_flat_test.onnx");
394
395
396
    EXPECT(p == prog);
}

Charlie Lin's avatar
Charlie Lin committed
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
TEST_CASE(batch_norm_rank_2_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();

    auto x     = mm->add_parameter("x", {migraphx::shape::float_type, {2, 5}});
    auto scale = mm->add_parameter("scale", {migraphx::shape::float_type, {5}});
    auto bias  = mm->add_parameter("bias", {migraphx::shape::float_type, {5}});
    auto mean  = mm->add_parameter("mean", {migraphx::shape::float_type, {5}});
    auto var   = mm->add_parameter("variance", {migraphx::shape::float_type, {5}});

    auto rt  = mm->add_literal(migraphx::literal{migraphx::shape::float_type, {0.5}});
    auto eps = mm->add_literal(migraphx::literal{migraphx::shape::float_type, {1e-6f}});

    auto numer   = add_common_op(*mm, migraphx::make_op("sub"), {x, mean});
    auto var_eps = add_common_op(*mm, migraphx::make_op("add"), {var, eps});
    auto denom   = add_common_op(*mm, migraphx::make_op("pow"), {var_eps, rt});
    auto div0    = add_common_op(*mm, migraphx::make_op("div"), {numer, denom});
    auto r0      = add_common_op(*mm, migraphx::make_op("mul"), {div0, scale});
    add_common_op(*mm, migraphx::make_op("add"), {r0, bias});

    auto prog = optimize_onnx("batch_norm_rank_2_test.onnx");
    EXPECT(p == prog);
}

422
TEST_CASE(batch_norm_1d_test)
423
424
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
425
    auto* mm = p.get_main_module();
426

427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
    auto x     = mm->add_parameter("x", {migraphx::shape::half_type, {2, 3, 4}});
    auto scale = mm->add_parameter("scale", {migraphx::shape::float_type, {3}});
    auto bias  = mm->add_parameter("bias", {migraphx::shape::float_type, {3}});
    auto mean  = mm->add_parameter("mean", {migraphx::shape::float_type, {3}});
    auto var   = mm->add_parameter("variance", {migraphx::shape::float_type, {3}});

    auto rt  = mm->add_literal(migraphx::literal{migraphx::shape::half_type, {0.5}});
    auto eps = mm->add_literal(migraphx::literal{migraphx::shape::half_type, {1e-5f}});

    auto usq_scale = mm->add_instruction(migraphx::make_op("unsqueeze", {{"axes", {1}}}), scale);
    auto usq_bias  = mm->add_instruction(migraphx::make_op("unsqueeze", {{"axes", {1}}}), bias);
    auto usq_mean  = mm->add_instruction(migraphx::make_op("unsqueeze", {{"axes", {1}}}), mean);
    auto usq_var   = mm->add_instruction(migraphx::make_op("unsqueeze", {{"axes", {1}}}), var);

    auto numer   = add_common_op(*mm, migraphx::make_op("sub"), {x, usq_mean});
    auto var_eps = add_common_op(*mm, migraphx::make_op("add"), {usq_var, eps});
    auto denom   = add_common_op(*mm, migraphx::make_op("pow"), {var_eps, rt});
    auto div0    = add_common_op(*mm, migraphx::make_op("div"), {numer, denom});
    auto r0      = add_common_op(*mm, migraphx::make_op("mul"), {div0, usq_scale});
    add_common_op(*mm, migraphx::make_op("add"), {r0, usq_bias});

    auto prog = optimize_onnx("batch_norm_1d_test.onnx");
449
450
451
    EXPECT(p == prog);
}

452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
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
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
TEST_CASE(batch_norm_2d_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();

    auto x     = mm->add_parameter("x", {migraphx::shape::float_type, {2, 3, 4, 4}});
    auto scale = mm->add_parameter("scale", {migraphx::shape::float_type, {3}});
    auto bias  = mm->add_parameter("bias", {migraphx::shape::float_type, {3}});
    auto mean  = mm->add_parameter("mean", {migraphx::shape::float_type, {3}});
    auto var   = mm->add_parameter("variance", {migraphx::shape::float_type, {3}});

    auto rt  = mm->add_literal(migraphx::literal{migraphx::shape::float_type, {0.5}});
    auto eps = mm->add_literal(migraphx::literal{migraphx::shape::float_type, {1e-5f}});

    auto usq_scale = mm->add_instruction(migraphx::make_op("unsqueeze", {{"axes", {1, 2}}}), scale);
    auto usq_bias  = mm->add_instruction(migraphx::make_op("unsqueeze", {{"axes", {1, 2}}}), bias);
    auto usq_mean  = mm->add_instruction(migraphx::make_op("unsqueeze", {{"axes", {1, 2}}}), mean);
    auto usq_var   = mm->add_instruction(migraphx::make_op("unsqueeze", {{"axes", {1, 2}}}), var);

    auto numer   = add_common_op(*mm, migraphx::make_op("sub"), {x, usq_mean});
    auto var_eps = add_common_op(*mm, migraphx::make_op("add"), {usq_var, eps});
    auto denom   = add_common_op(*mm, migraphx::make_op("pow"), {var_eps, rt});
    auto div0    = add_common_op(*mm, migraphx::make_op("div"), {numer, denom});
    auto r0      = add_common_op(*mm, migraphx::make_op("mul"), {div0, usq_scale});
    add_common_op(*mm, migraphx::make_op("add"), {r0, usq_bias});

    auto prog = optimize_onnx("batch_norm_2d_test.onnx");
    EXPECT(p == prog);
}

TEST_CASE(batch_norm_3d_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();

    auto x     = mm->add_parameter("x", {migraphx::shape::half_type, {2, 2, 2, 2, 2}});
    auto scale = mm->add_parameter("scale", {migraphx::shape::half_type, {2}});
    auto bias  = mm->add_parameter("bias", {migraphx::shape::half_type, {2}});
    auto mean  = mm->add_parameter("mean", {migraphx::shape::half_type, {2}});
    auto var   = mm->add_parameter("variance", {migraphx::shape::half_type, {2}});

    auto rt  = mm->add_literal(migraphx::literal{migraphx::shape::half_type, {0.5}});
    auto eps = mm->add_literal(migraphx::literal{migraphx::shape::half_type, {1e-6f}});

    auto usq_scale =
        mm->add_instruction(migraphx::make_op("unsqueeze", {{"axes", {1, 2, 3}}}), scale);
    auto usq_bias =
        mm->add_instruction(migraphx::make_op("unsqueeze", {{"axes", {1, 2, 3}}}), bias);
    auto usq_mean =
        mm->add_instruction(migraphx::make_op("unsqueeze", {{"axes", {1, 2, 3}}}), mean);
    auto usq_var = mm->add_instruction(migraphx::make_op("unsqueeze", {{"axes", {1, 2, 3}}}), var);

    auto numer   = add_common_op(*mm, migraphx::make_op("sub"), {x, usq_mean});
    auto var_eps = add_common_op(*mm, migraphx::make_op("add"), {usq_var, eps});
    auto denom   = add_common_op(*mm, migraphx::make_op("pow"), {var_eps, rt});
    auto div0    = add_common_op(*mm, migraphx::make_op("div"), {numer, denom});
    auto r0      = add_common_op(*mm, migraphx::make_op("mul"), {div0, usq_scale});
    add_common_op(*mm, migraphx::make_op("add"), {r0, usq_bias});
    auto prog = optimize_onnx("batch_norm_3d_test.onnx");

    EXPECT(p == prog);
}

TEST_CASE(batch_norm_invalid_rank)
{
    EXPECT(test::throws([&] { migraphx::parse_onnx("batch_norm_invalid_rank.onnx"); }));
}

TEST_CASE(batch_norm_invalid_bias_rank)
{
    EXPECT(test::throws([&] { migraphx::parse_onnx("batch_norm_invalid_bias_rank.onnx"); }));
}

Khalique's avatar
Khalique committed
525
TEST_CASE(cast_test)
Khalique's avatar
Khalique committed
526
{
Paul's avatar
Paul committed
527
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
528
529
    auto* mm = p.get_main_module();
    auto l   = mm->add_parameter("x", migraphx::shape{migraphx::shape::half_type, {10}});
530
531
532
533
    mm->add_instruction(
        migraphx::make_op("convert",
                          {{"target_type", migraphx::to_value(migraphx::shape::float_type)}}),
        l);
Khalique's avatar
Khalique committed
534

Shucai Xiao's avatar
Shucai Xiao committed
535
    auto prog = optimize_onnx("cast_test.onnx");
Khalique's avatar
Khalique committed
536
537
538
    EXPECT(p == prog);
}

Shucai Xiao's avatar
Shucai Xiao committed
539
540
541
TEST_CASE(ceil_test)
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
542
543
    auto* mm   = p.get_main_module();
    auto input = mm->add_parameter("x", migraphx::shape{migraphx::shape::float_type, {10}});
544
    mm->add_instruction(migraphx::make_op("ceil"), input);
Shucai Xiao's avatar
Shucai Xiao committed
545

Shucai Xiao's avatar
Shucai Xiao committed
546
    auto prog = optimize_onnx("ceil_test.onnx");
Shucai Xiao's avatar
Shucai Xiao committed
547
548
549
550

    EXPECT(p == prog);
}

551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
TEST_CASE(celu_alpha_test)
{
    migraphx::program p;
    auto* mm                            = p.get_main_module();
    std::vector<std::size_t> input_lens = {3};
    auto input_type                     = migraphx::shape::float_type;
    migraphx::shape s{input_type, input_lens};
    float alpha = 0.8;
    add_celu_instruction(mm, s, alpha);
    auto prog = optimize_onnx("celu_alpha_test.onnx");
    EXPECT(p == prog);
}

TEST_CASE(celu_default_test)
{
    migraphx::program p;
    auto* mm                            = p.get_main_module();
    std::vector<std::size_t> input_lens = {2, 3};
    auto input_type                     = migraphx::shape::float_type;
    migraphx::shape s{input_type, input_lens};
    float alpha = 1.0;
    add_celu_instruction(mm, s, alpha);
    auto prog = optimize_onnx("celu_default_test.onnx");
    EXPECT(p == prog);
}

TEST_CASE(celu_wrong_type_test)
{
    EXPECT(test::throws([&] { migraphx::parse_onnx("celu_wrong_type_test.onnx"); }));
}

TEST_CASE(celu_zero_alpha_test)
{
    EXPECT(test::throws([&] { migraphx::parse_onnx("celu_zero_alpha_test.onnx"); }));
}

Khalique's avatar
Khalique committed
587
TEST_CASE(clip_test)
Khalique's avatar
Khalique committed
588
589
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
590
591
592
593
    auto* mm     = p.get_main_module();
    auto l0      = mm->add_parameter("0", migraphx::shape{migraphx::shape::float_type, {3}});
    auto min_val = mm->add_literal(0.0f);
    auto max_val = mm->add_literal(6.0f);
594
    min_val =
595
        mm->add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", {3}}}), min_val);
596
    max_val =
597
        mm->add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", {3}}}), max_val);
598
    mm->add_instruction(migraphx::make_op("clip"), l0, min_val, max_val);
Shucai Xiao's avatar
Shucai Xiao committed
599
    auto prog = optimize_onnx("clip_test.onnx");
Khalique's avatar
Khalique committed
600

601
602
603
    EXPECT(p == prog);
}

Shucai Xiao's avatar
Shucai Xiao committed
604
605
606
TEST_CASE(clip_test_op11_max_only)
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
607
608
609
    auto* mm     = p.get_main_module();
    auto max_val = mm->add_literal(0.0f);
    auto l0      = mm->add_parameter("0", migraphx::shape{migraphx::shape::float_type, {3}});
610
611
    mm->add_instruction(migraphx::make_op("undefined"));
    max_val =
612
        mm->add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", {3}}}), max_val);
613
    auto r = mm->add_instruction(migraphx::make_op("min"), l0, max_val);
Shucai Xiao's avatar
Shucai Xiao committed
614
    mm->add_return({r});
Shucai Xiao's avatar
Shucai Xiao committed
615
616
617
618
619
620

    auto prog = migraphx::parse_onnx("clip_test_op11_max_only.onnx");

    EXPECT(p == prog);
}

kahmed10's avatar
kahmed10 committed
621
622
623
TEST_CASE(clip_test_op11)
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
624
625
626
627
    auto* mm     = p.get_main_module();
    auto min_val = mm->add_literal(0.0f);
    auto max_val = mm->add_literal(6.0f);
    auto l0      = mm->add_parameter("0", migraphx::shape{migraphx::shape::float_type, {3}});
628
    min_val =
629
        mm->add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", {3}}}), min_val);
630
    max_val =
631
        mm->add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", {3}}}), max_val);
632
    mm->add_instruction(migraphx::make_op("clip"), l0, min_val, max_val);
kahmed10's avatar
kahmed10 committed
633
634
635
636
637
638
639
640
    auto prog = optimize_onnx("clip_test_op11.onnx");

    EXPECT(p == prog);
}

TEST_CASE(clip_test_op11_min_only)
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
641
642
643
    auto* mm     = p.get_main_module();
    auto min_val = mm->add_literal(0.0f);
    auto l0      = mm->add_parameter("0", migraphx::shape{migraphx::shape::float_type, {3}});
644
    min_val =
645
        mm->add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", {3}}}), min_val);
646
    mm->add_instruction(migraphx::make_op("max"), l0, min_val);
kahmed10's avatar
kahmed10 committed
647
648
649
650
651
652
653
654
    auto prog = optimize_onnx("clip_test_op11_min_only.onnx");

    EXPECT(p == prog);
}

TEST_CASE(clip_test_op11_no_args)
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
655
656
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("0", migraphx::shape{migraphx::shape::float_type, {3}});
657
    mm->add_instruction(migraphx::make_op("identity"), l0);
kahmed10's avatar
kahmed10 committed
658
659
660
661
662
    auto prog = optimize_onnx("clip_test_op11_no_args.onnx");

    EXPECT(p == prog);
}

Shucai Xiao's avatar
Shucai Xiao committed
663
664
665
TEST_CASE(clip_test_op11_no_args1)
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
666
    auto* mm = p.get_main_module();
Shucai Xiao's avatar
Shucai Xiao committed
667

Shucai Xiao's avatar
Shucai Xiao committed
668
    auto l0 = mm->add_parameter("0", migraphx::shape{migraphx::shape::float_type, {3}});
669
670
    mm->add_instruction(migraphx::make_op("undefined"));
    auto r = mm->add_instruction(migraphx::make_op("identity"), l0);
Shucai Xiao's avatar
Shucai Xiao committed
671
    mm->add_return({r});
Shucai Xiao's avatar
Shucai Xiao committed
672
673
674
675
676
    auto prog = migraphx::parse_onnx("clip_test_op11_no_args1.onnx");

    EXPECT(p == prog);
}

677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
TEST_CASE(clip_test_args_type_mismatch)
{
    migraphx::program p;
    auto* mm     = p.get_main_module();
    auto min_val = mm->add_literal(
        migraphx::literal{migraphx::shape{migraphx::shape::float_type, {1, 3}}, {1.5, 2.5, 3.5}});
    auto max_val = mm->add_literal(
        migraphx::literal{migraphx::shape{migraphx::shape::int64_type, {3, 1}}, {2, 3, 4}});

    auto l0 = mm->add_parameter("0", migraphx::shape{migraphx::shape::float_type, {3, 3}});
    min_val =
        mm->add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", {3, 3}}}), min_val);
    max_val =
        mm->add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", {3, 3}}}), max_val);
    max_val = mm->add_instruction(
        migraphx::make_op("convert", {{"target_type", migraphx::shape::float_type}}), max_val);
    auto r = mm->add_instruction(migraphx::make_op("clip"), l0, min_val, max_val);
    mm->add_return({r});
    auto prog = migraphx::parse_onnx("clip_test_args_type_mismatch.onnx");
    EXPECT(p == prog);
}

Khalique's avatar
Khalique committed
699
TEST_CASE(concat_test)
Shucai Xiao's avatar
Shucai Xiao committed
700
701
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
702
703
704
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("0", migraphx::shape{migraphx::shape::float_type, {2, 4, 3}});
    auto l1  = mm->add_parameter("1", migraphx::shape{migraphx::shape::float_type, {7, 4, 3}});
705
    mm->add_instruction(migraphx::make_op("concat", {{"axis", 0}}), l0, l1);
Shucai Xiao's avatar
Shucai Xiao committed
706
    auto prog = optimize_onnx("concat_test.onnx");
Shucai Xiao's avatar
Shucai Xiao committed
707
708
709
710

    EXPECT(p == prog);
}

Khalique's avatar
Khalique committed
711
TEST_CASE(constant_test)
Shucai Xiao's avatar
Shucai Xiao committed
712
713
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
714
715
716
    auto* mm = p.get_main_module();
    mm->add_literal(
        migraphx::literal{migraphx::shape{migraphx::shape::float_type, {3}}, {0, 1, 2}});
Shucai Xiao's avatar
Shucai Xiao committed
717
    auto prog = optimize_onnx("constant_test.onnx");
Shucai Xiao's avatar
Shucai Xiao committed
718
719
720
721

    EXPECT(p == prog);
}

Khalique's avatar
Khalique committed
722
TEST_CASE(constant_fill_test)
Shucai Xiao's avatar
Shucai Xiao committed
723
{
Khalique's avatar
Khalique committed
724
725

    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
726
    auto* mm = p.get_main_module();
Khalique's avatar
Khalique committed
727
728
    migraphx::shape s{migraphx::shape::float_type, {2, 3}};
    std::vector<float> value(s.elements(), 1.0);
Shucai Xiao's avatar
Shucai Xiao committed
729
    mm->add_literal(migraphx::literal{s, value});
Shucai Xiao's avatar
Shucai Xiao committed
730
    auto prog = optimize_onnx("constant_fill_test.onnx");
Khalique's avatar
Khalique committed
731
732
733
734
735
736
737

    EXPECT(p == prog);
}

TEST_CASE(constant_fill_input_as_shape_test)
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
738
739
    auto* mm = p.get_main_module();
    auto l0  = mm->add_literal(migraphx::literal{{migraphx::shape::int32_type, {2}}, {2, 3}});
Khalique's avatar
Khalique committed
740
741
742
743
744
    std::vector<std::size_t> dims(l0->get_shape().elements());
    migraphx::literal ls = l0->get_literal();
    ls.visit([&](auto s) { dims.assign(s.begin(), s.end()); });
    migraphx::shape s{migraphx::shape::float_type, dims};
    std::vector<float> value(s.elements(), 1.0);
Shucai Xiao's avatar
Shucai Xiao committed
745
    mm->add_literal(migraphx::literal{s, value});
Shucai Xiao's avatar
Shucai Xiao committed
746
    auto prog = optimize_onnx("constant_fill_input_as_shape_test.onnx");
Khalique's avatar
Khalique committed
747
748

    EXPECT(p == prog);
Shucai Xiao's avatar
Shucai Xiao committed
749
750
}

Khalique's avatar
Khalique committed
751
TEST_CASE(constant_scalar_test)
752
753
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
754
755
    auto* mm = p.get_main_module();
    mm->add_literal(migraphx::literal{migraphx::shape{migraphx::shape::int32_type, {1}}, {1}});
Shucai Xiao's avatar
Shucai Xiao committed
756
    auto prog = optimize_onnx("constant_scalar_test.onnx");
757
758
759
760

    EXPECT(p == prog);
}

761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
TEST_CASE(constant_empty_scalar_int64_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    mm->add_literal(migraphx::literal{migraphx::shape::int64_type});
    auto prog = optimize_onnx("constant_empty_scalar_int64_test.onnx");

    EXPECT(p == prog);
}

TEST_CASE(constant_one_val_int64_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    mm->add_literal(migraphx::literal{migraphx::shape{migraphx::shape::int64_type, {1}}, {1}});
    auto prog = optimize_onnx("constant_one_val_int64_test.onnx");

    EXPECT(p == prog);
}

Khalique's avatar
Khalique committed
781
TEST_CASE(const_of_shape_empty_input_test)
Shucai Xiao's avatar
Shucai Xiao committed
782
783
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
784
    auto* mm = p.get_main_module();
785
    mm->add_literal(migraphx::literal(migraphx::shape::int32_type));
Khalique's avatar
Khalique committed
786
787
    migraphx::shape s(migraphx::shape::int64_type, {1}, {0});
    std::vector<int64_t> vec(s.elements(), 10);
Shucai Xiao's avatar
Shucai Xiao committed
788
    mm->add_literal(migraphx::literal(s, vec));
Shucai Xiao's avatar
Shucai Xiao committed
789

Shucai Xiao's avatar
Shucai Xiao committed
790
    auto prog = optimize_onnx("const_of_shape_empty_input_test.onnx");
Shucai Xiao's avatar
Shucai Xiao committed
791
    EXPECT(p == prog);
Khalique's avatar
Khalique committed
792
793
}

Khalique's avatar
Khalique committed
794
TEST_CASE(const_of_shape_float_test)
795
796
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
797
    auto* mm = p.get_main_module();
Khalique's avatar
Khalique committed
798
    migraphx::shape ss(migraphx::shape::int32_type, {3});
Shucai Xiao's avatar
Shucai Xiao committed
799
    mm->add_literal(migraphx::literal(ss, {2, 3, 4}));
Khalique's avatar
Khalique committed
800
801
    migraphx::shape s(migraphx::shape::float_type, {2, 3, 4});
    std::vector<float> vec(s.elements(), 10.0f);
Shucai Xiao's avatar
Shucai Xiao committed
802
    mm->add_literal(migraphx::literal(s, vec));
803

Shucai Xiao's avatar
Shucai Xiao committed
804
    auto prog = optimize_onnx("const_of_shape_float_test.onnx");
805
806
807
    EXPECT(p == prog);
}

Khalique's avatar
Khalique committed
808
TEST_CASE(const_of_shape_int64_test)
809
810
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
811
    auto* mm = p.get_main_module();
Khalique's avatar
Khalique committed
812
    migraphx::shape ss(migraphx::shape::int32_type, {3});
Shucai Xiao's avatar
Shucai Xiao committed
813
    mm->add_literal(migraphx::literal(ss, {2, 3, 4}));
Khalique's avatar
Khalique committed
814
815
    migraphx::shape s(migraphx::shape::int64_type, {2, 3, 4});
    std::vector<int64_t> vec(s.elements(), 10);
Shucai Xiao's avatar
Shucai Xiao committed
816
    mm->add_literal(migraphx::literal(s, vec));
817

Shucai Xiao's avatar
Shucai Xiao committed
818
    auto prog = optimize_onnx("const_of_shape_int64_test.onnx");
819
820
821
    EXPECT(p == prog);
}

Khalique's avatar
Khalique committed
822
TEST_CASE(const_of_shape_no_value_attr_test)
823
824
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
825
    auto* mm = p.get_main_module();
Khalique's avatar
Khalique committed
826
    migraphx::shape ss(migraphx::shape::int32_type, {3});
Shucai Xiao's avatar
Shucai Xiao committed
827
    mm->add_literal(migraphx::literal(ss, {2, 3, 4}));
Khalique's avatar
Khalique committed
828
829
    migraphx::shape s(migraphx::shape::float_type, {2, 3, 4});
    std::vector<float> vec(s.elements(), 0.0f);
Shucai Xiao's avatar
Shucai Xiao committed
830
    mm->add_literal(migraphx::literal(s, vec));
831

Shucai Xiao's avatar
Shucai Xiao committed
832
    auto prog = optimize_onnx("const_of_shape_no_value_attr_test.onnx");
833
834
835
    EXPECT(p == prog);
}

Khalique's avatar
Khalique committed
836
TEST_CASE(conv_autopad_fail_test)
837
{
Shucai Xiao's avatar
Shucai Xiao committed
838
    EXPECT(test::throws([&] { optimize_onnx("conv_autopad_fail_test.onnx"); }));
Khalique's avatar
Khalique committed
839
}
840

841
842
843
TEST_CASE(conv_1d_test)
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
844
845
846
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("0", {migraphx::shape::float_type, {1, 3, 5}});
    auto l1  = mm->add_parameter("1", {migraphx::shape::float_type, {1, 3, 3}});
847
848
849
850
    mm->add_instruction(
        migraphx::make_op("convolution", {{"padding", {0}}, {"stride", {1}}, {"dilation", {1}}}),
        l0,
        l1);
851
852
853
854
855
856
857
858

    auto prog = optimize_onnx("conv_1d_test.onnx");
    EXPECT(p == prog);
}

TEST_CASE(conv_3d_test)
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
859
860
861
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("0", {migraphx::shape::float_type, {1, 3, 5, 5, 5}});
    auto l1  = mm->add_parameter("1", {migraphx::shape::float_type, {1, 3, 3, 3, 3}});
862
863
864
865
866
    mm->add_instruction(
        migraphx::make_op("convolution",
                          {{"padding", {0, 0, 0}}, {"stride", {1, 1, 1}}, {"dilation", {1, 1, 1}}}),
        l0,
        l1);
867
868
869
870
871
872
873
874
875
876

    auto prog = optimize_onnx("conv_3d_test.onnx");
    EXPECT(p == prog);
}

TEST_CASE(conv_attr_fail_test)
{
    EXPECT(test::throws([&] { migraphx::parse_onnx("conv_attr_fail_test.onnx"); }));
}

877
878
879
TEST_CASE(conv_autopad_same_test)
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
880
881
882
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("0", {migraphx::shape::float_type, {1, 3, 32, 32}});
    auto l1  = mm->add_parameter("1", {migraphx::shape::float_type, {1, 3, 3, 3}});
883
    migraphx::op::convolution op;
884
    op.padding = {1, 1, 1, 1};
Shucai Xiao's avatar
Shucai Xiao committed
885
    mm->add_instruction(op, l0, l1);
886
887
888
889
890

    auto prog = optimize_onnx("conv_autopad_same_test.onnx");
    EXPECT(p == prog);
}

Khalique's avatar
Khalique committed
891
892
893
TEST_CASE(conv_bias_test)
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
894
895
896
897
    auto* mm      = p.get_main_module();
    auto l0       = mm->add_parameter("0", {migraphx::shape::float_type, {1, 3, 32, 32}});
    auto l1       = mm->add_parameter("1", {migraphx::shape::float_type, {1, 3, 5, 5}});
    auto l2       = mm->add_parameter("2", {migraphx::shape::float_type, {1}});
Khalique's avatar
Khalique committed
898
    uint64_t axis = 1;
899
900
    auto l3       = mm->add_instruction(migraphx::make_op("convolution"), l0, l1);
    auto l4       = mm->add_instruction(
901
        migraphx::make_op("broadcast", {{"axis", axis}, {"out_lens", l3->get_shape().lens()}}), l2);
902
    mm->add_instruction(migraphx::make_op("add"), l3, l4);
Khalique's avatar
Khalique committed
903

Shucai Xiao's avatar
Shucai Xiao committed
904
    auto prog = optimize_onnx("conv_bias_test.onnx");
Khalique's avatar
Khalique committed
905
906
907
908
909
910
    EXPECT(p == prog);
}

TEST_CASE(conv_bn_relu_maxpool_test)
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
911
912
913
914
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("0", {migraphx::shape::float_type, {1, 3, 32, 32}});
    auto l1  = mm->add_parameter("1", {migraphx::shape::float_type, {1, 3, 5, 5}});
    auto l2  = mm->add_parameter("2", {migraphx::shape::float_type, {1}});
Khalique's avatar
Khalique committed
915

916
917
918
919
920
921
922
923
    auto p3 = mm->add_parameter("3", {migraphx::shape::float_type, {1}});
    auto p4 = mm->add_parameter("4", {migraphx::shape::float_type, {1}});
    auto p5 = mm->add_parameter("5", {migraphx::shape::float_type, {1}});
    auto p6 = mm->add_parameter("6", {migraphx::shape::float_type, {1}});

    auto rt  = mm->add_literal(migraphx::literal{migraphx::shape::float_type, {0.5}});
    auto eps = mm->add_literal(migraphx::literal{migraphx::shape::float_type, {1e-5f}});

Khalique's avatar
Khalique committed
924
    uint64_t axis = 1;
kahmed10's avatar
kahmed10 committed
925
926
927
    auto l3 =
        mm->add_instruction(migraphx::make_op("convolution", {{"padding", {0, 0, 0, 0}}}), l0, l1);
    auto l4 = mm->add_instruction(
928
        migraphx::make_op("broadcast", {{"axis", axis}, {"out_lens", l3->get_shape().lens()}}), l2);
929
    auto l5 = mm->add_instruction(migraphx::make_op("add"), l3, l4);
930
931
932
933
934
935
936
937
938
939
940
941
942
943
944
945
946
947
948
949
950
951
952
953
954
955

    auto usq_scale = mm->add_instruction(migraphx::make_op("unsqueeze", {{"axes", {1, 2}}}), p3);
    auto usq_bias  = mm->add_instruction(migraphx::make_op("unsqueeze", {{"axes", {1, 2}}}), p4);
    auto usq_mean  = mm->add_instruction(migraphx::make_op("unsqueeze", {{"axes", {1, 2}}}), p5);
    auto usq_var   = mm->add_instruction(migraphx::make_op("unsqueeze", {{"axes", {1, 2}}}), p6);

    auto mb_mean = mm->add_instruction(
        migraphx::make_op("multibroadcast", {{"out_lens", {1, 1, 28, 28}}}), usq_mean);
    auto numer = mm->add_instruction(migraphx::make_op("sub"), l5, mb_mean);
    auto mb_eps =
        mm->add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", {1, 1, 1}}}), eps);
    auto var_eps = mm->add_instruction(migraphx::make_op("add"), usq_var, mb_eps);
    auto mb_rt =
        mm->add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", {1, 1, 1}}}), rt);
    auto denom    = mm->add_instruction(migraphx::make_op("pow"), var_eps, mb_rt);
    auto mb_denom = mm->add_instruction(
        migraphx::make_op("multibroadcast", {{"out_lens", {1, 1, 28, 28}}}), denom);
    auto div0     = mm->add_instruction(migraphx::make_op("div"), numer, mb_denom);
    auto mb_scale = mm->add_instruction(
        migraphx::make_op("multibroadcast", {{"out_lens", {1, 1, 28, 28}}}), usq_scale);
    auto r0      = mm->add_instruction(migraphx::make_op("mul"), div0, mb_scale);
    auto mb_bias = mm->add_instruction(
        migraphx::make_op("multibroadcast", {{"out_lens", {1, 1, 28, 28}}}), usq_bias);

    auto l6 = mm->add_instruction(migraphx::make_op("add"), r0, mb_bias);

956
    auto l7 = mm->add_instruction(migraphx::make_op("relu"), l6);
957
958
959
960
961
962
    mm->add_instruction(migraphx::make_op("pooling",
                                          {{"mode", migraphx::op::pooling_mode::max},
                                           {"padding", {0, 0, 0, 0}},
                                           {"stride", {2, 2}},
                                           {"lengths", {2, 2}}}),
                        l7);
Khalique's avatar
Khalique committed
963

Shucai Xiao's avatar
Shucai Xiao committed
964
    auto prog = optimize_onnx("conv_bn_relu_maxpool_test.onnx");
Khalique's avatar
Khalique committed
965
966
967
    EXPECT(p == prog);
}

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
998
999
1000
1001
1002
1003
1004
1005
1006
1007
1008
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
TEST_CASE(conv_dynamic_batch_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter(
        "0", {migraphx::shape::float_type, {{1, 6, 0}, {3, 3, 0}, {5, 5, 0}, {5, 5, 0}}});
    auto l1 = mm->add_parameter("1", {migraphx::shape::float_type, {1, 3, 3, 3}});
    auto c0 = mm->add_instruction(
        migraphx::make_op("convolution",
                          {{"padding", {0, 0}}, {"stride", {1, 1}}, {"dilation", {1, 1}}}),
        l0,
        l1);
    mm->add_return({c0});

    migraphx::onnx_options options;
    options.default_dyn_dim_value = {1, 6, 0};

    auto prog = migraphx::parse_onnx("conv_dynamic_batch_test.onnx", options);
    EXPECT(p == prog);
}

TEST_CASE(conv_dynamic_img_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter(
        "0", {migraphx::shape::float_type, {{1, 1, 0}, {3, 3, 0}, {5, 10, 0}, {5, 10, 0}}});
    auto l1 = mm->add_parameter("1", {migraphx::shape::float_type, {1, 3, 3, 3}});
    auto c0 = mm->add_instruction(
        migraphx::make_op("convolution",
                          {{"padding", {0, 0}}, {"stride", {1, 1}}, {"dilation", {1, 1}}}),
        l0,
        l1);
    mm->add_return({c0});

    migraphx::onnx_options options;
    options.default_dyn_dim_value = {5, 10, 0};

    auto prog = migraphx::parse_onnx("conv_dynamic_img_test.onnx", options);
    EXPECT(p == prog);
}

TEST_CASE(conv_dynamic_weights_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("0", {migraphx::shape::float_type, {1, 3, 5, 5}});
    auto l1  = mm->add_parameter(
        "1", {migraphx::shape::float_type, {{1, 1, 0}, {3, 3, 0}, {2, 4, 0}, {2, 4, 0}}});
    auto c0 = mm->add_instruction(
        migraphx::make_op("convolution",
                          {{"padding", {0, 0}}, {"stride", {1, 1}}, {"dilation", {1, 1}}}),
        l0,
        l1);
    mm->add_return({c0});

    migraphx::onnx_options options;
    options.default_dyn_dim_value = {2, 4, 0};

    auto prog = migraphx::parse_onnx("conv_dynamic_weights_test.onnx", options);
    EXPECT(p == prog);
}

TEST_CASE(conv_dynamic_img_and_weights_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter(
        "0", {migraphx::shape::float_type, {{1, 1, 0}, {3, 3, 0}, {5, 10, 0}, {5, 10, 0}}});
    auto l1 = mm->add_parameter(
        "1", {migraphx::shape::float_type, {{1, 1, 0}, {3, 3, 0}, {2, 4, 0}, {2, 4, 0}}});
    auto c0 = mm->add_instruction(
        migraphx::make_op("convolution",
                          {{"padding", {0, 0}}, {"stride", {1, 1}}, {"dilation", {1, 1}}}),
        l0,
        l1);
    mm->add_return({c0});

    migraphx::onnx_options options;
    options.default_dyn_dim_value   = {5, 10, 0};
    options.map_dyn_input_dims["1"] = {{1, 1, 0}, {3, 3, 0}, {2, 4, 0}, {2, 4, 0}};

    auto prog = migraphx::parse_onnx("conv_dynamic_img_and_weights_test.onnx", options);
    EXPECT(p == prog);
}

TEST_CASE(conv_dynamic_batch_same_upper)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter(
        "0", {migraphx::shape::float_type, {{1, 10, 0}, {3, 3, 0}, {5, 5, 0}, {5, 5, 0}}});
    auto l1 = mm->add_parameter("1", {migraphx::shape::float_type, {1, 3, 3, 3}});
1061
1062
1063
1064
1065
    auto c0 = mm->add_instruction(
        migraphx::make_op("convolution",
                          {{"padding", {1, 1, 1, 1}}, {"stride", {1, 1}}, {"dilation", {1, 1}}}),
        l0,
        l1);
1066
1067
1068
1069
1070
1071
1072
1073
1074
1075
1076
1077
1078
1079
1080
1081
1082
1083
1084
1085
1086
    mm->add_return({c0});

    migraphx::onnx_options options;
    options.default_dyn_dim_value = {1, 10, 0};

    auto prog = migraphx::parse_onnx("conv_dynamic_batch_same_upper_test.onnx", options);
    EXPECT(p == prog);
}

TEST_CASE(conv_dynamic_img_same_upper)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter(
        "0", {migraphx::shape::float_type, {{1, 1, 0}, {3, 3, 0}, {5, 10, 0}, {5, 10, 0}}});
    auto l1 = mm->add_parameter("1", {migraphx::shape::float_type, {1, 3, 3, 3}});
    auto c0 = mm->add_instruction(
        migraphx::make_op("convolution",
                          {{"padding", {0, 0}},
                           {"stride", {1, 1}},
                           {"dilation", {1, 1}},
1087
                           {"padding_mode", migraphx::op::padding_mode_t::same_upper}}),
1088
1089
1090
1091
1092
1093
1094
1095
1096
1097
1098
1099
1100
1101
1102
1103
1104
1105
1106
1107
1108
1109
1110
        l0,
        l1);
    mm->add_return({c0});

    migraphx::onnx_options options;
    options.default_dyn_dim_value = {5, 10, 0};

    auto prog = migraphx::parse_onnx("conv_dynamic_img_same_upper_test.onnx", options);
    EXPECT(p == prog);
}

TEST_CASE(conv_dynamic_kernel_same_lower)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("0", {migraphx::shape::float_type, {1, 3, 5, 5}});
    auto l1  = mm->add_parameter(
        "1", {migraphx::shape::float_type, {{1, 1, 0}, {3, 3, 0}, {2, 4, 0}, {2, 4, 0}}});
    auto c0 = mm->add_instruction(
        migraphx::make_op("convolution",
                          {{"padding", {0, 0}},
                           {"stride", {1, 1}},
                           {"dilation", {1, 1}},
1111
                           {"padding_mode", migraphx::op::padding_mode_t::same_lower}}),
1112
1113
1114
1115
1116
1117
1118
1119
1120
1121
        l0,
        l1);
    mm->add_return({c0});

    migraphx::onnx_options options;
    options.default_dyn_dim_value = {2, 4, 0};
    auto prog = migraphx::parse_onnx("conv_dynamic_kernel_same_lower_test.onnx", options);
    EXPECT(p == prog);
}

Khalique's avatar
Khalique committed
1122
1123
1124
TEST_CASE(conv_relu_maxpool_test)
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
1125
1126
1127
1128
    auto* mm      = p.get_main_module();
    auto l0       = mm->add_parameter("0", {migraphx::shape::float_type, {1, 3, 32, 32}});
    auto l1       = mm->add_parameter("1", {migraphx::shape::float_type, {1, 3, 5, 5}});
    auto l2       = mm->add_parameter("2", {migraphx::shape::float_type, {1}});
Khalique's avatar
Khalique committed
1129
    uint64_t axis = 1;
kahmed10's avatar
kahmed10 committed
1130
1131
1132
    auto l3 =
        mm->add_instruction(migraphx::make_op("convolution", {{"padding", {0, 0, 0, 0}}}), l0, l1);
    auto l4 = mm->add_instruction(
1133
        migraphx::make_op("broadcast", {{"axis", axis}, {"out_lens", l3->get_shape().lens()}}), l2);
1134
1135
    auto l5 = mm->add_instruction(migraphx::make_op("add"), l3, l4);
    auto l6 = mm->add_instruction(migraphx::make_op("relu"), l5);
1136
1137
1138
1139
1140
1141
    mm->add_instruction(migraphx::make_op("pooling",
                                          {{"mode", migraphx::op::pooling_mode::max},
                                           {"padding", {0, 0, 0, 0}},
                                           {"stride", {2, 2}},
                                           {"lengths", {2, 2}}}),
                        l6);
Khalique's avatar
Khalique committed
1142

Shucai Xiao's avatar
Shucai Xiao committed
1143
    auto prog = optimize_onnx("conv_relu_maxpool_test.onnx");
Khalique's avatar
Khalique committed
1144
1145
1146
1147
1148
1149
    EXPECT(p == prog);
}

TEST_CASE(conv_relu_maxpool_x2_test)
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
1150
1151
1152
1153
    auto* mm      = p.get_main_module();
    auto l0       = mm->add_parameter("0", {migraphx::shape::float_type, {1, 3, 32, 32}});
    auto l1       = mm->add_parameter("1", {migraphx::shape::float_type, {5, 3, 5, 5}});
    auto l2       = mm->add_parameter("2", {migraphx::shape::float_type, {5}});
Khalique's avatar
Khalique committed
1154
    uint64_t axis = 1;
kahmed10's avatar
kahmed10 committed
1155
1156
1157
    auto l3 =
        mm->add_instruction(migraphx::make_op("convolution", {{"padding", {0, 0, 0, 0}}}), l0, l1);
    auto l4 = mm->add_instruction(
1158
        migraphx::make_op("broadcast", {{"axis", axis}, {"out_lens", l3->get_shape().lens()}}), l2);
1159
1160
    auto l5 = mm->add_instruction(migraphx::make_op("add"), l3, l4);
    auto l6 = mm->add_instruction(migraphx::make_op("relu"), l5);
1161
1162
1163
1164
1165
1166
    auto l7 = mm->add_instruction(migraphx::make_op("pooling",
                                                    {{"mode", migraphx::op::pooling_mode::max},
                                                     {"padding", {0, 0, 0, 0}},
                                                     {"stride", {2, 2}},
                                                     {"lengths", {2, 2}}}),
                                  l6);
Shucai Xiao's avatar
Shucai Xiao committed
1167

kahmed10's avatar
kahmed10 committed
1168
1169
1170
1171
    auto l8 = mm->add_parameter("3", {migraphx::shape::float_type, {1, 5, 5, 5}});
    auto l9 = mm->add_parameter("4", {migraphx::shape::float_type, {1}});
    auto l10 =
        mm->add_instruction(migraphx::make_op("convolution", {{"padding", {0, 0, 0, 0}}}), l7, l8);
1172
    auto l11 = mm->add_instruction(
1173
1174
        migraphx::make_op("broadcast", {{"axis", axis}, {"out_lens", l10->get_shape().lens()}}),
        l9);
1175
1176
    auto l12 = mm->add_instruction(migraphx::make_op("add"), l10, l11);
    auto l13 = mm->add_instruction(migraphx::make_op("relu"), l12);
1177
1178
1179
1180
1181
1182
    mm->add_instruction(migraphx::make_op("pooling",
                                          {{"mode", migraphx::op::pooling_mode::max},
                                           {"padding", {0, 0, 0, 0}},
                                           {"stride", {2, 2}},
                                           {"lengths", {2, 2}}}),
                        l13);
Khalique's avatar
Khalique committed
1183

Shucai Xiao's avatar
Shucai Xiao committed
1184
    auto prog = optimize_onnx("conv_relu_maxpool_x2_test.onnx");
Khalique's avatar
Khalique committed
1185
1186
1187
1188

    EXPECT(p == prog);
}

1189
1190
1191
TEST_CASE(convinteger_bias_test)
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
1192
1193
1194
1195
    auto* mm      = p.get_main_module();
    auto l0       = mm->add_parameter("0", {migraphx::shape::int8_type, {1, 3, 32, 32}});
    auto l1       = mm->add_parameter("1", {migraphx::shape::int8_type, {1, 3, 5, 5}});
    auto l2       = mm->add_parameter("2", {migraphx::shape::int32_type, {1}});
1196
    uint64_t axis = 1;
1197
1198
    auto l3       = mm->add_instruction(migraphx::make_op("quant_convolution"), l0, l1);
    auto l4       = mm->add_instruction(
1199
        migraphx::make_op("broadcast", {{"axis", axis}, {"out_lens", l3->get_shape().lens()}}), l2);
1200
    mm->add_instruction(migraphx::make_op("add"), l3, l4);
1201
1202
1203
1204
1205

    auto prog = optimize_onnx("convinteger_bias_test.onnx");
    EXPECT(p == prog);
}

Khalique's avatar
Khalique committed
1206
TEST_CASE(cos_test)
1207
1208
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
1209
1210
    auto* mm   = p.get_main_module();
    auto input = mm->add_parameter("x", migraphx::shape{migraphx::shape::float_type, {10}});
1211
    mm->add_instruction(migraphx::make_op("cos"), input);
1212

Shucai Xiao's avatar
Shucai Xiao committed
1213
    auto prog = optimize_onnx("cos_test.onnx");
1214
1215
1216
    EXPECT(p == prog);
}

Khalique's avatar
Khalique committed
1217
TEST_CASE(cosh_test)
1218
1219
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
1220
1221
    auto* mm   = p.get_main_module();
    auto input = mm->add_parameter("x", migraphx::shape{migraphx::shape::float_type, {1}});
1222
    mm->add_instruction(migraphx::make_op("cosh"), input);
1223

Shucai Xiao's avatar
Shucai Xiao committed
1224
    auto prog = optimize_onnx("cosh_test.onnx");
1225
1226
1227
1228

    EXPECT(p == prog);
}

kahmed10's avatar
kahmed10 committed
1229
1230
1231
TEST_CASE(deconv_test)
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
1232
1233
1234
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("x", {migraphx::shape::float_type, {1, 1, 3, 3}});
    auto l1  = mm->add_parameter("w", {migraphx::shape::float_type, {1, 1, 3, 3}});
1235
    mm->add_instruction(migraphx::make_op("deconvolution"), l0, l1);
kahmed10's avatar
kahmed10 committed
1236
1237
1238
1239
1240
1241
1242
1243

    auto prog = optimize_onnx("deconv_test.onnx");
    EXPECT(p == prog);
}

TEST_CASE(deconv_bias_test)
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
1244
1245
1246
1247
    auto* mm      = p.get_main_module();
    auto l0       = mm->add_parameter("x", {migraphx::shape::float_type, {1, 1, 3, 3}});
    auto l1       = mm->add_parameter("w", {migraphx::shape::float_type, {1, 1, 3, 3}});
    auto l2       = mm->add_parameter("b", {migraphx::shape::float_type, {1}});
kahmed10's avatar
kahmed10 committed
1248
    uint64_t axis = 1;
1249
1250
    auto l3       = mm->add_instruction(migraphx::make_op("deconvolution"), l0, l1);
    auto l4       = mm->add_instruction(
1251
        migraphx::make_op("broadcast", {{"axis", axis}, {"out_lens", l3->get_shape().lens()}}), l2);
1252
    mm->add_instruction(migraphx::make_op("add"), l3, l4);
kahmed10's avatar
kahmed10 committed
1253
1254
1255
1256
1257
1258
1259
1260

    auto prog = optimize_onnx("deconv_bias_test.onnx");
    EXPECT(p == prog);
}

TEST_CASE(deconv_input_pads_strides_test)
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
1261
1262
1263
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("x", {migraphx::shape::float_type, {1, 1, 3, 3}});
    auto l1  = mm->add_parameter("w", {migraphx::shape::float_type, {1, 2, 3, 3}});
1264
1265
    mm->add_instruction(
        migraphx::make_op("deconvolution", {{"padding", {1, 1}}, {"stride", {3, 2}}}), l0, l1);
kahmed10's avatar
kahmed10 committed
1266
1267
1268
1269
1270
1271
1272
1273

    auto prog = optimize_onnx("deconv_input_pads_strides_test.onnx");
    EXPECT(p == prog);
}

TEST_CASE(deconv_input_pads_asymm_test)
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
1274
1275
1276
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("x", {migraphx::shape::float_type, {1, 1, 3, 3}});
    auto l1  = mm->add_parameter("w", {migraphx::shape::float_type, {1, 2, 3, 3}});
1277
1278
1279
1280
    auto l2  = mm->add_instruction(
        migraphx::make_op("deconvolution", {{"padding", {0, 0}}, {"stride", {3, 2}}}), l0, l1);
    mm->add_instruction(
        migraphx::make_op("slice", {{"axes", {2, 3}}, {"starts", {0, 0}}, {"ends", {8, 6}}}), l2);
kahmed10's avatar
kahmed10 committed
1281
1282
1283
1284
1285

    auto prog = optimize_onnx("deconv_input_pads_asymm_test.onnx");
    EXPECT(p == prog);
}

kahmed10's avatar
kahmed10 committed
1286
1287
1288
TEST_CASE(deconv_input_pads_asymm_1d_test)
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
1289
1290
1291
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("x", {migraphx::shape::float_type, {1, 1, 3}});
    auto l1  = mm->add_parameter("w", {migraphx::shape::float_type, {1, 2, 3}});
1292
    auto l2  = mm->add_instruction(
kahmed10's avatar
kahmed10 committed
1293
1294
        migraphx::make_op("deconvolution",
                          {{"padding", {0, 0}}, {"stride", {2}}, {"dilation", {1}}}),
1295
1296
1297
1298
        l0,
        l1);
    mm->add_instruction(migraphx::make_op("slice", {{"axes", {2}}, {"starts", {0}}, {"ends", {6}}}),
                        l2);
kahmed10's avatar
kahmed10 committed
1299
1300
1301
1302
1303
1304

    auto prog = optimize_onnx("deconv_input_pads_asymm_1d_test.onnx");
    EXPECT(p == prog);
}

TEST_CASE(deconv_output_padding_test)
kahmed10's avatar
kahmed10 committed
1305
1306
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
1307
1308
1309
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("x", {migraphx::shape::float_type, {1, 1, 3, 3}});
    auto l1  = mm->add_parameter("w", {migraphx::shape::float_type, {1, 2, 3, 3}});
1310
1311
1312
    auto l2  = mm->add_instruction(
        migraphx::make_op("deconvolution", {{"padding", {0, 0}}, {"stride", {3, 2}}}), l0, l1);
    mm->add_instruction(migraphx::make_op("pad", {{"pads", {0, 0, 0, 0, 0, 0, 1, 1}}}), l2);
kahmed10's avatar
kahmed10 committed
1313

kahmed10's avatar
kahmed10 committed
1314
    auto prog = optimize_onnx("deconv_output_padding_test.onnx");
kahmed10's avatar
kahmed10 committed
1315
1316
1317
    EXPECT(p == prog);
}

kahmed10's avatar
kahmed10 committed
1318
1319
1320
TEST_CASE(deconv_output_padding_3d_test)
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
1321
1322
1323
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("x", {migraphx::shape::float_type, {1, 1, 3, 3, 3}});
    auto l1  = mm->add_parameter("w", {migraphx::shape::float_type, {1, 2, 3, 3, 3}});
1324
1325
1326
1327
1328
1329
    auto l2  = mm->add_instruction(
        migraphx::make_op("deconvolution",
                          {{"padding", {0, 0, 0}}, {"stride", {3, 2, 2}}, {"dilation", {1, 1, 1}}}),
        l0,
        l1);
    mm->add_instruction(migraphx::make_op("pad", {{"pads", {0, 0, 0, 0, 0, 0, 0, 1, 1, 1}}}), l2);
kahmed10's avatar
kahmed10 committed
1330
1331
1332
1333
1334
1335

    auto prog = optimize_onnx("deconv_output_padding_3d_test.onnx");
    EXPECT(p == prog);
}

TEST_CASE(deconv_output_shape_test)
kahmed10's avatar
kahmed10 committed
1336
1337
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
1338
1339
1340
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("x", {migraphx::shape::float_type, {1, 1, 3, 3}});
    auto l1  = mm->add_parameter("w", {migraphx::shape::float_type, {1, 2, 3, 3}});
1341
1342
1343
    auto l2  = mm->add_instruction(
        migraphx::make_op("deconvolution", {{"padding", {0, 0}}, {"stride", {3, 2}}}), l0, l1);
    mm->add_instruction(migraphx::make_op("pad", {{"pads", {0, 0, 0, 0, 0, 0, 1, 1}}}), l2);
kahmed10's avatar
kahmed10 committed
1344

kahmed10's avatar
kahmed10 committed
1345
1346
1347
1348
1349
1350
1351
    auto prog = optimize_onnx("deconv_output_shape_test.onnx");
    EXPECT(p == prog);
}

TEST_CASE(deconv_output_shape_3d_test)
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
1352
1353
1354
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("x", {migraphx::shape::float_type, {1, 1, 3, 3, 3}});
    auto l1  = mm->add_parameter("w", {migraphx::shape::float_type, {1, 2, 3, 3, 3}});
1355
1356
1357
1358
1359
1360
    auto l2  = mm->add_instruction(
        migraphx::make_op("deconvolution",
                          {{"padding", {0, 0, 0}}, {"stride", {3, 2, 2}}, {"dilation", {1, 1, 1}}}),
        l0,
        l1);
    mm->add_instruction(migraphx::make_op("pad", {{"pads", {0, 0, 0, 0, 0, 0, 0, 1, 1, 1}}}), l2);
kahmed10's avatar
kahmed10 committed
1361
1362

    auto prog = optimize_onnx("deconv_output_shape_3d_test.onnx");
kahmed10's avatar
kahmed10 committed
1363
1364
1365
    EXPECT(p == prog);
}

1366
1367
1368
1369
1370
1371
1372
1373
1374
1375
1376
1377
1378
1379
1380
1381
1382
1383
1384
1385
1386
1387
1388
1389
1390
1391
1392
1393
1394
1395
1396
1397
1398
1399
1400
1401
1402
1403
1404
1405
1406
1407
1408
1409
1410
TEST_CASE(depthtospace_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("x", {migraphx::shape::float_type, {2, 8, 5, 5}});
    auto tmp1 =
        mm->add_instruction(migraphx::make_op("reshape", {{"dims", {2, 2, 2, 2, 5, 5}}}), l0);
    auto tmp2 = mm->add_instruction(
        migraphx::make_op("transpose", {{"permutation", {0, 3, 4, 1, 5, 2}}}), tmp1);
    auto tmp3 = mm->add_instruction(migraphx::make_op("contiguous"), tmp2);
    mm->add_instruction(migraphx::make_op("reshape", {{"dims", {2, 2, 10, 10}}}), tmp3);
    auto prog = optimize_onnx("depthtospace_test.onnx");
    EXPECT(p == prog);
}

TEST_CASE(depthtospace_crd_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("x", {migraphx::shape::float_type, {2, 8, 5, 5}});
    auto tmp1 =
        mm->add_instruction(migraphx::make_op("reshape", {{"dims", {2, 2, 2, 2, 5, 5}}}), l0);
    auto tmp2 = mm->add_instruction(
        migraphx::make_op("transpose", {{"permutation", {0, 1, 4, 2, 5, 3}}}), tmp1);
    auto tmp3 = mm->add_instruction(migraphx::make_op("contiguous"), tmp2);
    mm->add_instruction(migraphx::make_op("reshape", {{"dims", {2, 2, 10, 10}}}), tmp3);
    auto prog = optimize_onnx("depthtospace_crd_test.onnx");
    EXPECT(p == prog);
}

TEST_CASE(depthtospace_simple_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("x", {migraphx::shape::float_type, {1, 8, 2, 3}});
    auto tmp1 =
        mm->add_instruction(migraphx::make_op("reshape", {{"dims", {1, 2, 2, 2, 2, 3}}}), l0);
    auto tmp2 = mm->add_instruction(
        migraphx::make_op("transpose", {{"permutation", {0, 3, 4, 1, 5, 2}}}), tmp1);
    auto tmp3 = mm->add_instruction(migraphx::make_op("contiguous"), tmp2);
    mm->add_instruction(migraphx::make_op("reshape", {{"dims", {1, 2, 4, 6}}}), tmp3);
    auto prog = optimize_onnx("depthtospace_simple_test.onnx");
    EXPECT(p == prog);
}

Umang Yadav's avatar
Umang Yadav committed
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
1439
1440
1441
1442
1443
1444
1445
1446
1447
1448
1449
1450
TEST_CASE(spacetodepth_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("x", {migraphx::shape::float_type, {2, 2, 10, 10}});
    auto tmp1 =
        mm->add_instruction(migraphx::make_op("reshape", {{"dims", {2, 2, 5, 2, 5, 2}}}), l0);
    auto tmp2 = mm->add_instruction(
        migraphx::make_op("transpose", {{"permutation", {0, 3, 5, 1, 2, 4}}}), tmp1);
    auto tmp3 = mm->add_instruction(migraphx::make_op("contiguous"), tmp2);
    mm->add_instruction(migraphx::make_op("reshape", {{"dims", {2, 8, 5, 5}}}), tmp3);
    auto prog = optimize_onnx("spacetodepth_test.onnx");
    EXPECT(p == prog);
}

TEST_CASE(spacetodepth_simple_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("x", {migraphx::shape::float_type, {1, 2, 4, 6}});
    auto tmp1 =
        mm->add_instruction(migraphx::make_op("reshape", {{"dims", {1, 2, 2, 2, 3, 2}}}), l0);
    auto tmp2 = mm->add_instruction(
        migraphx::make_op("transpose", {{"permutation", {0, 3, 5, 1, 2, 4}}}), tmp1);
    auto tmp3 = mm->add_instruction(migraphx::make_op("contiguous"), tmp2);
    mm->add_instruction(migraphx::make_op("reshape", {{"dims", {1, 8, 2, 3}}}), tmp3);
    auto prog = optimize_onnx("spacetodepth_simple_test.onnx");
    EXPECT(p == prog);
}

TEST_CASE(spacetodepth_invalid_blocksize)
{
    EXPECT(test::throws([&] { migraphx::parse_onnx("spacetodepth_invalid_blocksize_test.onnx"); }));
}

TEST_CASE(spacetodepth_nondivisibility_test)
{
    EXPECT(test::throws([&] { migraphx::parse_onnx("spacetodepth_nondivisibility_test.onnx"); }));
}

1451
1452
1453
1454
1455
1456
1457
TEST_CASE(dequantizelinear_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("0", {migraphx::shape::int8_type, {5}});
    auto l1  = mm->add_parameter("1", {migraphx::shape::float_type, {1}});
    auto l1_mbcast =
1458
        mm->add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", {5}}}), l1);
turneram's avatar
turneram committed
1459
    auto dequant = mm->add_instruction(
1460
        migraphx::make_op("convert",
turneram's avatar
turneram committed
1461
1462
1463
1464
1465
1466
1467
1468
1469
1470
1471
1472
1473
1474
1475
1476
                          {{"target_type", migraphx::to_value(migraphx::shape::float_type)}}),
        l0);
    mm->add_instruction(migraphx::make_op("mul"), dequant, l1_mbcast);

    auto prog = optimize_onnx("dequantizelinear_test.onnx", true);
    EXPECT(p.sort() == prog.sort());
}

TEST_CASE(dequantizelinear_zero_point_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("0", {migraphx::shape::int8_type, {5}});
    auto l1  = mm->add_parameter("1", {migraphx::shape::float_type, {1}});
    auto l2  = mm->add_parameter("2", {migraphx::shape::int8_type, {1}});
    auto l1_mbcast =
1477
        mm->add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", {5}}}), l1);
1478
    auto l2_mbcast =
1479
        mm->add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", {5}}}), l2);
turneram's avatar
turneram committed
1480
    l2_mbcast = mm->add_instruction(
1481
        migraphx::make_op("convert",
turneram's avatar
turneram committed
1482
1483
1484
                          {{"target_type", migraphx::to_value(migraphx::shape::float_type)}}),
        l2_mbcast);
    l0 = mm->add_instruction(
1485
1486
        migraphx::make_op("convert",
                          {{"target_type", migraphx::to_value(migraphx::shape::float_type)}}),
turneram's avatar
turneram committed
1487
        l0);
1488

turneram's avatar
turneram committed
1489
1490
    auto sub = mm->add_instruction(migraphx::make_op("sub"), l0, l2_mbcast);
    mm->add_instruction(migraphx::make_op("mul"), sub, l1_mbcast);
1491

turneram's avatar
turneram committed
1492
    auto prog = optimize_onnx("dequantizelinear_zero_point_test.onnx", true);
1493
1494
1495
1496
1497
1498
1499
1500
1501
1502
1503
1504
1505
    EXPECT(p.sort() == prog.sort());
}

migraphx::program make_dequantizelinear_axis_prog()
{
    migraphx::program p;
    std::vector<size_t> input_lens{1, 1, 5, 1};
    int axis      = 2;
    auto* mm      = p.get_main_module();
    auto l0       = mm->add_parameter("0", {migraphx::shape::int8_type, input_lens});
    auto l1       = mm->add_parameter("1", {migraphx::shape::float_type, {5}});
    auto l2       = mm->add_parameter("2", {migraphx::shape::int8_type, {5}});
    auto l1_bcast = mm->add_instruction(
1506
        migraphx::make_op("broadcast", {{"axis", axis}, {"out_lens", input_lens}}), l1);
1507
    auto l2_bcast = mm->add_instruction(
1508
        migraphx::make_op("broadcast", {{"axis", axis}, {"out_lens", input_lens}}), l2);
1509
1510
    l2_bcast = mm->add_instruction(
        migraphx::make_op("convert",
turneram's avatar
turneram committed
1511
                          {{"target_type", migraphx::to_value(migraphx::shape::float_type)}}),
1512
1513
1514
1515
        l2_bcast);
    l0 = mm->add_instruction(
        migraphx::make_op("convert",
                          {{"target_type", migraphx::to_value(migraphx::shape::float_type)}}),
turneram's avatar
turneram committed
1516
1517
        l0);
    auto sub = mm->add_instruction(migraphx::make_op("sub"), l0, l2_bcast);
1518

turneram's avatar
turneram committed
1519
    mm->add_instruction(migraphx::make_op("mul"), sub, l1_bcast);
1520
1521
1522
1523
1524
1525
1526
    return p;
}

TEST_CASE(dequantizelinear_axis_test)
{
    migraphx::program p = make_dequantizelinear_axis_prog();

turneram's avatar
turneram committed
1527
    auto prog = optimize_onnx("dequantizelinear_axis_test.onnx", true);
1528
1529
1530
1531
1532
1533
1534
    EXPECT(p.sort() == prog.sort());
}

TEST_CASE(dequantizelinear_neg_axis_test)
{
    migraphx::program p = make_dequantizelinear_axis_prog();

turneram's avatar
turneram committed
1535
    auto prog = optimize_onnx("dequantizelinear_neg_axis_test.onnx", true);
1536
1537
1538
    EXPECT(p.sort() == prog.sort());
}

Khalique's avatar
Khalique committed
1539
TEST_CASE(dropout_test)
Shucai Xiao's avatar
Shucai Xiao committed
1540
1541
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
1542
1543
    auto* mm   = p.get_main_module();
    auto input = mm->add_parameter("0", migraphx::shape{migraphx::shape::float_type, {1, 3, 2, 2}});
1544
    auto out   = mm->add_instruction(migraphx::make_op("identity"), input);
1545
1546
    migraphx::shape s{migraphx::shape::bool_type, {1, 3, 2, 2}};
    std::vector<int8_t> vec(s.elements(), 1);
Shucai Xiao's avatar
Shucai Xiao committed
1547
1548
    mm->add_literal(migraphx::literal(s, vec));
    mm->add_return({out});
Shucai Xiao's avatar
Shucai Xiao committed
1549

1550
    auto prog = migraphx::parse_onnx("dropout_test.onnx");
Shucai Xiao's avatar
Shucai Xiao committed
1551
1552
1553
    EXPECT(p == prog);
}

Khalique's avatar
Khalique committed
1554
1555
1556
TEST_CASE(elu_test)
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
1557
1558
    auto* mm   = p.get_main_module();
    auto input = mm->add_parameter("0", migraphx::shape{migraphx::shape::float_type, {3}});
1559
    mm->add_instruction(migraphx::make_op("elu", {{"alpha", 0.01}}), input);
Khalique's avatar
Khalique committed
1560

Shucai Xiao's avatar
Shucai Xiao committed
1561
    auto prog = optimize_onnx("elu_test.onnx");
Khalique's avatar
Khalique committed
1562
1563
1564
1565

    EXPECT(p == prog);
}

1566
1567
1568
TEST_CASE(embedding_bag_test)
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
1569
1570
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("weight", migraphx::shape{migraphx::shape::float_type, {4, 2}});
1571
    migraphx::literal l{migraphx::shape{migraphx::shape::int32_type, {3}}, {1, 0, 2}};
Shucai Xiao's avatar
Shucai Xiao committed
1572
1573
    auto l1 = mm->add_literal(l);
    mm->add_literal(0);
1574
1575
1576
1577
1578
1579
    auto l4 = mm->add_instruction(migraphx::make_op("gather"), l0, l1);
    auto r1 = mm->add_instruction(migraphx::make_op("reduce_sum", {{"axes", {0}}}), l4);
    auto l5 = mm->add_instruction(migraphx::make_op("gather"), l0, l1);
    auto r2 = mm->add_instruction(migraphx::make_op("reduce_mean", {{"axes", {0}}}), l5);
    auto l6 = mm->add_instruction(migraphx::make_op("gather"), l0, l1);
    auto r3 = mm->add_instruction(migraphx::make_op("reduce_max", {{"axes", {0}}}), l6);
Shucai Xiao's avatar
Shucai Xiao committed
1580
    mm->add_return({r1, r2, r3});
1581
1582
1583
1584
1585
1586
1587
1588
1589
1590
1591

    auto prog = migraphx::parse_onnx("embedding_bag_test.onnx");

    EXPECT(p == prog);
}

TEST_CASE(embedding_bag_offset_test)
{
    EXPECT(test::throws([&] { migraphx::parse_onnx("embedding_bag_offset_test.onnx"); }));
}

1592
1593
1594
TEST_CASE(equal_test)
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
1595
    auto* mm = p.get_main_module();
1596
1597
1598
    migraphx::shape s{migraphx::shape::float_type, {2, 3}};
    std::vector<float> data = {1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f};

Shucai Xiao's avatar
Shucai Xiao committed
1599
1600
    auto input1 = mm->add_literal(migraphx::literal(s, data));
    auto input2 = mm->add_parameter("x2", migraphx::shape{migraphx::shape::float_type, {2, 3}});
1601
1602
1603
1604
1605
    auto eq     = mm->add_instruction(migraphx::make_op("equal"), input1, input2);
    auto ret    = mm->add_instruction(
        migraphx::make_op("convert",
                          {{"target_type", migraphx::to_value(migraphx::shape::bool_type)}}),
        eq);
Shucai Xiao's avatar
Shucai Xiao committed
1606
    mm->add_return({ret});
1607
1608
1609
1610
1611
1612
1613
1614
1615

    auto prog = migraphx::parse_onnx("equal_test.onnx");

    EXPECT(p == prog);
}

TEST_CASE(equal_bool_test)
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
1616
    auto* mm = p.get_main_module();
1617
1618
1619
    migraphx::shape sf{migraphx::shape::float_type, {2, 3}};
    migraphx::shape sb{migraphx::shape::bool_type, {2, 3}};

Shucai Xiao's avatar
Shucai Xiao committed
1620
1621
    auto input1 = mm->add_parameter("x1", sf);
    auto input2 = mm->add_parameter("x2", sb);
1622
1623
1624
1625
1626
    auto cin1   = mm->add_instruction(
        migraphx::make_op("convert",
                          {{"target_type", migraphx::to_value(migraphx::shape::bool_type)}}),
        input1);
    auto ret = mm->add_instruction(migraphx::make_op("equal"), cin1, input2);
Shucai Xiao's avatar
Shucai Xiao committed
1627
    mm->add_return({ret});
1628
1629
1630
1631
1632
1633

    auto prog = migraphx::parse_onnx("equal_bool_test.onnx");

    EXPECT(p == prog);
}

Khalique's avatar
Khalique committed
1634
TEST_CASE(erf_test)
1635
1636
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
1637
1638
    auto* mm   = p.get_main_module();
    auto input = mm->add_parameter("x", migraphx::shape{migraphx::shape::float_type, {10, 15}});
1639
    mm->add_instruction(migraphx::make_op("erf"), input);
Khalique's avatar
Khalique committed
1640

Shucai Xiao's avatar
Shucai Xiao committed
1641
    auto prog = optimize_onnx("erf_test.onnx");
Khalique's avatar
Khalique committed
1642
1643
1644
    EXPECT(p == prog);
}

Khalique's avatar
Khalique committed
1645
TEST_CASE(exp_test)
1646
1647
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
1648
1649
    auto* mm   = p.get_main_module();
    auto input = mm->add_parameter("x", migraphx::shape{migraphx::shape::float_type, {10}});
1650
    mm->add_instruction(migraphx::make_op("exp"), input);
Khalique's avatar
Khalique committed
1651

Shucai Xiao's avatar
Shucai Xiao committed
1652
    auto prog = optimize_onnx("exp_test.onnx");
Khalique's avatar
Khalique committed
1653
    EXPECT(p == prog);
Khalique's avatar
Khalique committed
1654
1655
}

Khalique's avatar
Khalique committed
1656
TEST_CASE(expand_test)
1657
1658
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
1659
    auto* mm = p.get_main_module();
Khalique's avatar
Khalique committed
1660
    migraphx::shape s(migraphx::shape::float_type, {3, 1, 1});
Shucai Xiao's avatar
Shucai Xiao committed
1661
    auto param = mm->add_parameter("x", s);
Khalique's avatar
Khalique committed
1662
    migraphx::shape ss(migraphx::shape::int32_type, {4});
Shucai Xiao's avatar
Shucai Xiao committed
1663
    mm->add_literal(migraphx::literal(ss, {2, 3, 4, 5}));
1664
    mm->add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", {2, 3, 4, 5}}}), param);
Khalique's avatar
Khalique committed
1665

Shucai Xiao's avatar
Shucai Xiao committed
1666
    auto prog = optimize_onnx("expand_test.onnx");
Khalique's avatar
Khalique committed
1667
    EXPECT(p == prog);
Khalique's avatar
Khalique committed
1668
1669
}

1670
1671
1672
migraphx::program create_external_data_prog()
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
1673
    auto* mm = p.get_main_module();
1674
1675
1676
1677
    migraphx::shape s(migraphx::shape::float_type, {1, 1, 224, 224});
    migraphx::shape s2(migraphx::shape::float_type, {10, 1, 11, 11});
    std::vector<float> weight_data(1210, 1);
    std::vector<float> bias_data(10, 1);
Shucai Xiao's avatar
Shucai Xiao committed
1678
    auto bias = mm->add_literal(migraphx::literal({migraphx::shape::float_type, {10}}, bias_data));
kahmed10's avatar
kahmed10 committed
1679
1680
1681
1682
    auto weights = mm->add_literal(migraphx::literal(s2, weight_data));
    auto param   = mm->add_parameter("input", s);
    auto conv    = mm->add_instruction(
        migraphx::make_op("convolution", {{"padding", {0, 0, 0, 0}}}), param, weights);
Shucai Xiao's avatar
Shucai Xiao committed
1683
    auto bias_bcast = mm->add_instruction(
1684
        migraphx::make_op("broadcast", {{"axis", 1}, {"out_lens", {1, 10, 214, 214}}}), bias);
Shucai Xiao's avatar
Shucai Xiao committed
1685
    mm->add_instruction(migraphx::make_op("add"), conv, bias_bcast);
1686
1687
1688
1689
1690
1691
1692
1693
1694
1695
1696
1697
1698
1699
1700
1701
1702
1703
1704
    return p;
}

TEST_CASE(external_data_test)
{
    migraphx::program p = create_external_data_prog();

    auto prog = optimize_onnx("external_data_test.onnx");
    EXPECT(p == prog);
}

TEST_CASE(external_data_diff_path_test)
{
    migraphx::program p = create_external_data_prog();

    auto prog = optimize_onnx("ext_path/external_data_test.onnx");
    EXPECT(p == prog);
}

Charlie Lin's avatar
Charlie Lin committed
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
1760
1761
1762
1763
1764
1765
1766
1767
1768
1769
1770
1771
1772
1773
1774
1775
1776
1777
1778
1779
1780
1781
1782
1783
1784
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
TEST_CASE(eyelike_default_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    std::vector<std::size_t> input_lens{3, 4};
    const size_t k   = 0;
    auto num_rows    = input_lens.front();
    auto num_cols    = input_lens.back();
    auto input_type  = migraphx::shape::float_type;
    auto output_type = migraphx::shape::float_type;
    migraphx::shape s{input_type, input_lens};
    mm->add_parameter("T1", s);

    auto eyelike_mat = make_r_eyelike(num_rows, num_cols, k);
    mm->add_literal(migraphx::literal{migraphx::shape{output_type, input_lens}, eyelike_mat});

    auto prog = optimize_onnx("eyelike_default_test.onnx");
    EXPECT(p == prog);
}

TEST_CASE(eyelike_double_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    std::vector<std::size_t> input_lens{6, 15};
    const size_t k   = 0;
    auto num_rows    = input_lens.front();
    auto num_cols    = input_lens.back();
    auto input_type  = migraphx::shape::double_type;
    auto output_type = migraphx::shape::double_type;
    migraphx::shape s{input_type, input_lens};
    mm->add_parameter("T1", s);

    auto eyelike_mat = make_r_eyelike(num_rows, num_cols, k);
    mm->add_literal(migraphx::literal{migraphx::shape{output_type, input_lens}, eyelike_mat});

    auto prog = optimize_onnx("eyelike_double_test.onnx");
    EXPECT(p == prog);
}

TEST_CASE(eyelike_half_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    std::vector<std::size_t> input_lens{8, 8};
    const size_t k   = 0;
    auto num_rows    = input_lens.front();
    auto num_cols    = input_lens.back();
    auto input_type  = migraphx::shape::half_type;
    auto output_type = migraphx::shape::half_type;
    migraphx::shape s{input_type, input_lens};
    mm->add_parameter("T1", s);

    auto eyelike_mat = make_r_eyelike(num_rows, num_cols, k);
    mm->add_literal(migraphx::literal{migraphx::shape{output_type, input_lens}, eyelike_mat});

    auto prog = optimize_onnx("eyelike_half_test.onnx");
    EXPECT(p == prog);
}

TEST_CASE(eyelike_k_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    std::vector<std::size_t> input_lens{3, 4};
    const size_t k   = 1;
    auto num_rows    = input_lens.front();
    auto num_cols    = input_lens.back();
    auto input_type  = migraphx::shape::float_type;
    auto output_type = migraphx::shape::float_type;
    migraphx::shape s{input_type, input_lens};
    mm->add_parameter("T1", s);

    auto eyelike_mat = make_r_eyelike(num_rows, num_cols, k);
    mm->add_literal(migraphx::literal{migraphx::shape{output_type, input_lens}, eyelike_mat});

    auto prog = optimize_onnx("eyelike_k_test.onnx");
    EXPECT(p == prog);
}

TEST_CASE(eyelike_k_outofbounds_neg_test)
{
    EXPECT(test::throws([&] { migraphx::parse_onnx("eyelike_k_outofbounds_neg_test.onnx"); }));
}

TEST_CASE(eyelike_k_outofbounds_pos_test)
{
    EXPECT(test::throws([&] { migraphx::parse_onnx("eyelike_k_outofbounds_pos_test.onnx"); }));
}

TEST_CASE(eyelike_not_rank2_test)
{
    EXPECT(test::throws([&] { migraphx::parse_onnx("eyelike_not_rank2_test.onnx"); }));
}

TEST_CASE(eyelike_set_dtype_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    std::vector<std::size_t> input_lens{3, 4};
    const size_t k   = 0;
    auto num_rows    = input_lens.front();
    auto num_cols    = input_lens.back();
    auto input_type  = migraphx::shape::float_type;
    auto output_type = migraphx::shape::double_type;
    migraphx::shape s{input_type, input_lens};
    mm->add_parameter("T1", s);

    auto eyelike_mat = make_r_eyelike(num_rows, num_cols, k);
    mm->add_literal(migraphx::literal{migraphx::shape{output_type, input_lens}, eyelike_mat});

    auto prog = optimize_onnx("eyelike_set_dtype_test.onnx");
    EXPECT(p == prog);
}

Khalique's avatar
Khalique committed
1820
TEST_CASE(flatten_test)
1821
1822
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
1823
1824
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("0", migraphx::shape{migraphx::shape::float_type, {2, 3, 4, 5}});
1825
1826
    mm->add_instruction(migraphx::make_op("flatten", {{"axis", 2}}), l0);
    mm->add_instruction(migraphx::make_op("flatten", {{"axis", 1}}), l0);
Shucai Xiao's avatar
Shucai Xiao committed
1827
    auto prog = optimize_onnx("flatten_test.onnx");
1828
1829
1830
1831

    EXPECT(p == prog);
}

Khalique's avatar
Khalique committed
1832
1833
1834
1835
1836
TEST_CASE(flatten_nonstd_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("0", migraphx::shape{migraphx::shape::float_type, {2, 3, 5, 4}});
1837
1838
1839
    auto l1 =
        mm->add_instruction(migraphx::make_op("transpose", {{"permutation", {0, 1, 3, 2}}}), l0);
    auto l2 = mm->add_instruction(migraphx::make_op("contiguous"), l1);
Khalique's avatar
Khalique committed
1840
1841
1842
1843
1844
1845
1846
1847
    mm->add_instruction(migraphx::make_op("flatten", {{"axis", 2}}), l2);
    auto l3 = mm->add_instruction(migraphx::make_op("contiguous"), l1);
    mm->add_instruction(migraphx::make_op("flatten", {{"axis", 1}}), l3);
    auto prog = optimize_onnx("flatten_nonstd_test.onnx");

    EXPECT(p == prog);
}

Shucai Xiao's avatar
Shucai Xiao committed
1848
1849
1850
TEST_CASE(floor_test)
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
1851
1852
    auto* mm   = p.get_main_module();
    auto input = mm->add_parameter("x", migraphx::shape{migraphx::shape::float_type, {10}});
1853
    mm->add_instruction(migraphx::make_op("floor"), input);
Shucai Xiao's avatar
Shucai Xiao committed
1854

Shucai Xiao's avatar
Shucai Xiao committed
1855
    auto prog = optimize_onnx("floor_test.onnx");
Shucai Xiao's avatar
Shucai Xiao committed
1856
1857
1858
1859

    EXPECT(p == prog);
}

Khalique's avatar
Khalique committed
1860
TEST_CASE(gather_test)
1861
1862
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
1863
1864
1865
    auto* mm = p.get_main_module();
    auto l0 = mm->add_parameter("data", migraphx::shape{migraphx::shape::float_type, {3, 4, 5, 6}});
    auto l1 = mm->add_parameter("indices", migraphx::shape{migraphx::shape::int32_type, {2, 3}});
Khalique's avatar
Khalique committed
1866
    int axis = 1;
1867
    mm->add_instruction(migraphx::make_op("gather", {{"axis", axis}}), l0, l1);
Shucai Xiao's avatar
Shucai Xiao committed
1868
    auto prog = optimize_onnx("gather_test.onnx");
1869
1870
1871
1872

    EXPECT(p == prog);
}

Shucai Xiao's avatar
Shucai Xiao committed
1873
1874
1875
TEST_CASE(gather_elements_axis0_test)
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
1876
1877
1878
    auto* mm     = p.get_main_module();
    auto data    = mm->add_parameter("data", {migraphx::shape::float_type, {3, 4}});
    auto indices = mm->add_parameter("indices", {migraphx::shape::int32_type, {2, 3}});
Shucai Xiao's avatar
Shucai Xiao committed
1879
1880
1881
1882
    std::vector<int> ind_indices{0, 1, 2, 4, 5, 6};
    std::vector<int> ind_axis_indices{0, 0, 0, 1, 1, 1};
    migraphx::shape ind_s{migraphx::shape::int32_type, {2, 3}};
    auto l_data_indices =
Shucai Xiao's avatar
Shucai Xiao committed
1883
        mm->add_literal(migraphx::literal{ind_s, ind_indices.begin(), ind_indices.end()});
Shucai Xiao's avatar
Shucai Xiao committed
1884
    auto l_ind_axis_indices =
Shucai Xiao's avatar
Shucai Xiao committed
1885
1886
        mm->add_literal(migraphx::literal{ind_s, ind_axis_indices.begin(), ind_axis_indices.end()});
    auto l_stride = mm->add_literal(migraphx::literal{{migraphx::shape::int32_type, {1}}, {4}});
Shucai Xiao's avatar
Shucai Xiao committed
1887

1888
1889
    auto rsp_data    = mm->add_instruction(migraphx::make_op("reshape", {{"dims", {12}}}), data);
    auto lbst_stride = mm->add_instruction(
1890
        migraphx::make_op("multibroadcast", {{"out_lens", ind_s.lens()}}), l_stride);
1891
1892
1893
1894
    auto axis_delta = mm->add_instruction(migraphx::make_op("sub"), indices, l_ind_axis_indices);
    auto mul_delta  = mm->add_instruction(migraphx::make_op("mul"), axis_delta, lbst_stride);
    auto ind        = mm->add_instruction(migraphx::make_op("add"), l_data_indices, mul_delta);
    auto ret = mm->add_instruction(migraphx::make_op("gather", {{"axis", 0}}), rsp_data, ind);
Shucai Xiao's avatar
Shucai Xiao committed
1895
    mm->add_return({ret});
Shucai Xiao's avatar
Shucai Xiao committed
1896
1897
1898
1899
1900
1901
1902
1903
1904

    auto prog = migraphx::parse_onnx("gather_elements_axis0_test.onnx");

    EXPECT(p == prog);
}

TEST_CASE(gather_elements_axis1_test)
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
1905
1906
1907
    auto* mm     = p.get_main_module();
    auto data    = mm->add_parameter("data", {migraphx::shape::float_type, {3, 4}});
    auto indices = mm->add_parameter("indices", {migraphx::shape::int32_type, {2, 3}});
Shucai Xiao's avatar
Shucai Xiao committed
1908
1909
1910
1911
    std::vector<int> ind_indices{0, 1, 2, 4, 5, 6};
    std::vector<int> ind_axis_indices{0, 1, 2, 0, 1, 2};
    migraphx::shape ind_s{migraphx::shape::int32_type, {2, 3}};
    auto l_data_indices =
Shucai Xiao's avatar
Shucai Xiao committed
1912
        mm->add_literal(migraphx::literal{ind_s, ind_indices.begin(), ind_indices.end()});
Shucai Xiao's avatar
Shucai Xiao committed
1913
    auto l_ind_axis_indices =
Shucai Xiao's avatar
Shucai Xiao committed
1914
1915
        mm->add_literal(migraphx::literal{ind_s, ind_axis_indices.begin(), ind_axis_indices.end()});
    auto l_stride = mm->add_literal(migraphx::literal{{migraphx::shape::int32_type, {1}}, {1}});
Shucai Xiao's avatar
Shucai Xiao committed
1916

1917
1918
    auto rsp_data    = mm->add_instruction(migraphx::make_op("reshape", {{"dims", {12}}}), data);
    auto lbst_stride = mm->add_instruction(
1919
        migraphx::make_op("multibroadcast", {{"out_lens", ind_s.lens()}}), l_stride);
1920
1921
1922
1923
    auto axis_delta = mm->add_instruction(migraphx::make_op("sub"), indices, l_ind_axis_indices);
    auto mul_delta  = mm->add_instruction(migraphx::make_op("mul"), axis_delta, lbst_stride);
    auto ind        = mm->add_instruction(migraphx::make_op("add"), l_data_indices, mul_delta);
    auto ret = mm->add_instruction(migraphx::make_op("gather", {{"axis", 0}}), rsp_data, ind);
Shucai Xiao's avatar
Shucai Xiao committed
1924
    mm->add_return({ret});
Shucai Xiao's avatar
Shucai Xiao committed
1925
1926
1927
1928
1929
1930

    auto prog = migraphx::parse_onnx("gather_elements_axis1_test.onnx");

    EXPECT(p == prog);
}

turneram's avatar
turneram committed
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
TEST_CASE(gathernd_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("data", migraphx::shape{migraphx::shape::float_type, {2, 2}});
    auto l1  = mm->add_parameter("indices", migraphx::shape{migraphx::shape::int64_type, {2, 2}});
    mm->add_instruction(migraphx::make_op("gathernd"), l0, l1);
    auto prog = optimize_onnx("gathernd_test.onnx");

    EXPECT(p == prog);
}

TEST_CASE(gathernd_batch_dims_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("data", migraphx::shape{migraphx::shape::float_type, {2, 2, 2}});
    auto l1  = mm->add_parameter("indices", migraphx::shape{migraphx::shape::int64_type, {2, 1}});
    int batch_dims = 1;
    mm->add_instruction(migraphx::make_op("gathernd", {{"batch_dims", batch_dims}}), l0, l1);
    auto prog = optimize_onnx("gathernd_batch_dims_test.onnx");

    EXPECT(p == prog);
}

Khalique's avatar
Khalique committed
1956
TEST_CASE(gemm_test)
1957
1958
{
    migraphx::program p;
1959
1960
1961
1962
    auto* mm   = p.get_main_module();
    auto l0    = mm->add_parameter("0", migraphx::shape{migraphx::shape::float_type, {5, 7}});
    auto l1    = mm->add_parameter("1", migraphx::shape{migraphx::shape::float_type, {11, 5}});
    auto l2    = mm->add_parameter("2", migraphx::shape{migraphx::shape::float_type});
Khalique's avatar
Khalique committed
1963
1964
    auto alpha = 2.f;
    auto beta  = 2.0f;
1965
1966
    auto a_l   = mm->add_literal(alpha);
    auto t_a   = add_common_op(*mm, migraphx::make_op("mul"), {a_l, l0});
1967
1968
1969
    t_a      = mm->add_instruction(migraphx::make_op("transpose", {{"permutation", {1, 0}}}), t_a);
    auto t1  = mm->add_instruction(migraphx::make_op("transpose", {{"permutation", {1, 0}}}), l1);
    auto dot = migraphx::add_apply_alpha_beta(*mm, {t_a, t1}, migraphx::make_op("dot"), 1.0f, 0.0f);
1970
1971
    auto b_l = mm->add_literal(beta);
    auto l2_b =
1972
        mm->add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", {7, 11}}}), l2);
1973
    auto b_b = mm->add_instruction(
1974
        migraphx::make_op("multibroadcast", {{"out_lens", l2_b->get_shape().lens()}}), b_l);
1975
    auto l2_bb = mm->add_instruction(migraphx::make_op("mul"), l2_b, b_b);
turneram's avatar
turneram committed
1976
1977
    mm->add_instruction(migraphx::make_op("add"), dot, l2_bb);

Shucai Xiao's avatar
Shucai Xiao committed
1978
    auto prog = optimize_onnx("gemm_test.onnx");
1979
1980
1981
    EXPECT(p == prog);
}

Khalique's avatar
Khalique committed
1982
TEST_CASE(gemm_ex_test)
1983
1984
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
1985
1986
1987
1988
    auto* mm   = p.get_main_module();
    auto l0    = mm->add_parameter("1", migraphx::shape{migraphx::shape::float_type, {1, 1, 8, 6}});
    auto l1    = mm->add_parameter("2", migraphx::shape{migraphx::shape::float_type, {1, 1, 8, 7}});
    auto l2    = mm->add_parameter("3", migraphx::shape{migraphx::shape::float_type, {1, 1, 6, 7}});
Khalique's avatar
Khalique committed
1989
1990
    auto alpha = 0.5f;
    auto beta  = 0.8f;
1991
1992
    auto a_l   = mm->add_literal(alpha);
    auto t_a   = add_common_op(*mm, migraphx::make_op("mul"), {a_l, l0});
1993
    t_a = mm->add_instruction(migraphx::make_op("transpose", {{"permutation", {0, 1, 3, 2}}}), t_a);
1994
    auto dot = migraphx::add_apply_alpha_beta(*mm, {t_a, l1}, migraphx::make_op("dot"), 1.0f, 0.0f);
1995
1996
    auto b_l = mm->add_literal(beta);
    auto b_b = mm->add_instruction(
1997
        migraphx::make_op("multibroadcast", {{"out_lens", l2->get_shape().lens()}}), b_l);
1998
    auto l2_b = mm->add_instruction(migraphx::make_op("mul"), l2, b_b);
turneram's avatar
turneram committed
1999
    mm->add_instruction(migraphx::make_op("add"), dot, l2_b);
2000

Shucai Xiao's avatar
Shucai Xiao committed
2001
    auto prog = optimize_onnx("gemm_ex_test.onnx");
2002
2003
2004
    EXPECT(p == prog);
}

Khalique's avatar
Khalique committed
2005
TEST_CASE(gemm_ex_brcst_test)
2006
2007
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
2008
2009
2010
2011
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("1", migraphx::shape{migraphx::shape::float_type, {1, 1, 5, 6}});
    auto l1  = mm->add_parameter("2", migraphx::shape{migraphx::shape::float_type, {1, 1, 5, 7}});
    auto l2  = mm->add_parameter("3", migraphx::shape{migraphx::shape::float_type, {1, 1, 6, 1}});
Khalique's avatar
Khalique committed
2012
2013
2014
    std::vector<std::size_t> out_lens{1, 1, 6, 7};
    auto alpha = 0.5f;
    auto beta  = 0.8f;
2015
2016
    auto a_l   = mm->add_literal(alpha);
    auto t_a   = add_common_op(*mm, migraphx::make_op("mul"), {a_l, l0});
2017
    t_a = mm->add_instruction(migraphx::make_op("transpose", {{"permutation", {0, 1, 3, 2}}}), t_a);
2018
    auto dot = migraphx::add_apply_alpha_beta(*mm, {t_a, l1}, migraphx::make_op("dot"), 1.0f, 0.0f);
2019
2020
    auto b_l = mm->add_literal(beta);
    auto l2_b =
2021
        mm->add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", out_lens}}), l2);
2022
    auto b_b = mm->add_instruction(
2023
        migraphx::make_op("multibroadcast", {{"out_lens", l2_b->get_shape().lens()}}), b_l);
2024
    auto l2_bb = mm->add_instruction(migraphx::make_op("mul"), l2_b, b_b);
turneram's avatar
turneram committed
2025
    mm->add_instruction(migraphx::make_op("add"), dot, l2_bb);
2026

Shucai Xiao's avatar
Shucai Xiao committed
2027
    auto prog = optimize_onnx("gemm_ex_brcst_test.onnx");
2028
2029
2030
    EXPECT(p == prog);
}

Shucai Xiao's avatar
Shucai Xiao committed
2031
2032
2033
2034
2035
2036
2037
2038
2039
2040
2041
2042
2043
TEST_CASE(gemm_half_test)
{
    migraphx::program p;
    auto* mm   = p.get_main_module();
    auto l0    = mm->add_parameter("1", migraphx::shape{migraphx::shape::half_type, {1, 1, 8, 6}});
    auto l1    = mm->add_parameter("2", migraphx::shape{migraphx::shape::half_type, {1, 1, 8, 7}});
    auto l2    = mm->add_parameter("3", migraphx::shape{migraphx::shape::half_type, {1, 1, 6, 1}});
    auto alpha = 0.5f;
    auto beta  = 0.8f;
    auto a_l   = mm->add_literal(alpha);
    auto t_a   = add_common_op(*mm, migraphx::make_op("mul"), {a_l, l0});
    t_a        = mm->add_instruction(
        migraphx::make_op("convert", {{"target_type", migraphx::shape::half_type}}), t_a);
2044
    t_a = mm->add_instruction(migraphx::make_op("transpose", {{"permutation", {0, 1, 3, 2}}}), t_a);
Shucai Xiao's avatar
Shucai Xiao committed
2045
    std::vector<std::size_t> lens = {1, 1, 6, 7};
2046
2047
2048
    auto dot = migraphx::add_apply_alpha_beta(*mm, {t_a, l1}, migraphx::make_op("dot"), 1.0f, 0.0f);
    l2       = mm->add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", lens}}), l2);
    l2       = mm->add_instruction(
Shucai Xiao's avatar
Shucai Xiao committed
2049
        migraphx::make_op("convert", {{"target_type", migraphx::shape::float_type}}), l2);
2050
2051
    auto b_l  = mm->add_literal(beta);
    auto b_b  = mm->add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", lens}}), b_l);
Shucai Xiao's avatar
Shucai Xiao committed
2052
2053
2054
    auto l2_b = mm->add_instruction(migraphx::make_op("mul"), l2, b_b);
    l2_b      = mm->add_instruction(
        migraphx::make_op("convert", {{"target_type", migraphx::shape::half_type}}), l2_b);
turneram's avatar
turneram committed
2055
    mm->add_instruction(migraphx::make_op("add"), dot, l2_b);
Shucai Xiao's avatar
Shucai Xiao committed
2056
2057
2058
2059
2060

    auto prog = optimize_onnx("gemm_half_test.onnx");
    EXPECT(p == prog);
}

Khalique's avatar
Khalique committed
2061
TEST_CASE(globalavgpool_test)
2062
2063
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
2064
2065
2066
    auto* mm = p.get_main_module();
    auto input =
        mm->add_parameter("0", migraphx::shape{migraphx::shape::float_type, {1, 3, 16, 16}});
2067
    auto op    = migraphx::op::pooling{migraphx::op::pooling_mode::average};
Khalique's avatar
Khalique committed
2068
2069
    auto lens  = input->get_shape().lens();
    op.lengths = {lens[2], lens[3]};
kahmed10's avatar
kahmed10 committed
2070
    op.padding = {0, 0, 0, 0};
Shucai Xiao's avatar
Shucai Xiao committed
2071
    mm->add_instruction(op, input);
Khalique's avatar
Khalique committed
2072

Shucai Xiao's avatar
Shucai Xiao committed
2073
    auto prog = optimize_onnx("globalavgpool_test.onnx");
2074
2075
2076
2077

    EXPECT(p == prog);
}

2078
2079
2080
2081
2082
2083
2084
2085
2086
2087
2088
2089
2090
2091
2092
2093
2094
TEST_CASE(globallppool_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    auto input =
        mm->add_parameter("0", migraphx::shape{migraphx::shape::float_type, {1, 3, 16, 16}});
    auto op    = migraphx::op::pooling{migraphx::op::pooling_mode::lpnorm};
    auto lens  = input->get_shape().lens();
    op.lengths = {lens[2], lens[3]};
    op.padding = {0, 0, 0, 0};
    mm->add_instruction(op, input);

    auto prog = optimize_onnx("globallppool_test.onnx");

    EXPECT(p == prog);
}

Khalique's avatar
Khalique committed
2095
TEST_CASE(globalmaxpool_test)
Khalique's avatar
Khalique committed
2096
2097
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
2098
2099
2100
    auto* mm = p.get_main_module();
    auto input =
        mm->add_parameter("0", migraphx::shape{migraphx::shape::float_type, {1, 3, 16, 16}});
2101
    auto op    = migraphx::op::pooling{migraphx::op::pooling_mode::max};
Khalique's avatar
Khalique committed
2102
2103
    auto lens  = input->get_shape().lens();
    op.lengths = {lens[2], lens[3]};
kahmed10's avatar
kahmed10 committed
2104
    op.padding = {0, 0, 0, 0};
Shucai Xiao's avatar
Shucai Xiao committed
2105
    mm->add_instruction(op, input);
Khalique's avatar
Khalique committed
2106

Shucai Xiao's avatar
Shucai Xiao committed
2107
    auto prog = optimize_onnx("globalmaxpool_test.onnx");
Khalique's avatar
Khalique committed
2108
2109
2110
2111

    EXPECT(p == prog);
}

2112
2113
2114
TEST_CASE(greater_test)
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
2115
    auto* mm = p.get_main_module();
2116
2117
2118
    migraphx::shape s{migraphx::shape::float_type, {2, 3}};
    std::vector<float> data = {1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f};

Shucai Xiao's avatar
Shucai Xiao committed
2119
2120
    auto input1 = mm->add_literal(migraphx::literal(s, data));
    auto input2 = mm->add_parameter("x2", migraphx::shape{migraphx::shape::float_type, {2, 3}});
2121
2122
2123
2124
2125
    auto gr     = mm->add_instruction(migraphx::make_op("greater"), input1, input2);
    auto ret    = mm->add_instruction(
        migraphx::make_op("convert",
                          {{"target_type", migraphx::to_value(migraphx::shape::bool_type)}}),
        gr);
Shucai Xiao's avatar
Shucai Xiao committed
2126
    mm->add_return({ret});
2127
2128
2129
2130
2131
2132
2133
2134

    auto prog = migraphx::parse_onnx("greater_test.onnx");
    EXPECT(p == prog);
}

TEST_CASE(greater_bool_test)
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
2135
    auto* mm = p.get_main_module();
2136
2137
2138
    migraphx::shape sf{migraphx::shape::float_type, {2, 3}};
    migraphx::shape sb{migraphx::shape::bool_type, {2, 3}};

Shucai Xiao's avatar
Shucai Xiao committed
2139
2140
    auto input1 = mm->add_parameter("x1", sf);
    auto input2 = mm->add_parameter("x2", sb);
2141
2142
2143
2144
2145
    auto cin1   = mm->add_instruction(
        migraphx::make_op("convert",
                          {{"target_type", migraphx::to_value(migraphx::shape::bool_type)}}),
        input1);
    auto ret = mm->add_instruction(migraphx::make_op("greater"), cin1, input2);
Shucai Xiao's avatar
Shucai Xiao committed
2146
    mm->add_return({ret});
2147
2148
2149
2150
2151

    auto prog = migraphx::parse_onnx("greater_bool_test.onnx");
    EXPECT(p == prog);
}

turneram's avatar
turneram committed
2152
2153
2154
2155
2156
2157
2158
2159
2160
2161
2162
2163
2164
2165
2166
2167
2168
2169
TEST_CASE(greaterorequal_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();

    auto input1 = mm->add_parameter("x1", migraphx::shape{migraphx::shape::float_type, {3}});
    auto input2 = mm->add_parameter("x2", migraphx::shape{migraphx::shape::float_type, {3}});
    auto temp   = mm->add_instruction(migraphx::make_op("less"), input1, input2);
    auto bt     = mm->add_instruction(
        migraphx::make_op("convert", {{"target_type", migraphx::shape::bool_type}}), temp);
    auto ge = mm->add_instruction(migraphx::make_op("not"), bt);

    mm->add_return({ge});

    auto prog = migraphx::parse_onnx("greaterorequal_test.onnx");
    EXPECT(p == prog);
}

Khalique's avatar
Khalique committed
2170
TEST_CASE(group_conv_test)
2171
2172
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
2173
2174
2175
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("0", migraphx::shape{migraphx::shape::float_type, {1, 4, 16, 16}});
    auto l1  = mm->add_parameter("1", migraphx::shape{migraphx::shape::float_type, {4, 1, 3, 3}});
Khalique's avatar
Khalique committed
2176
2177
    migraphx::op::convolution op;
    op.group = 4;
Shucai Xiao's avatar
Shucai Xiao committed
2178
    mm->add_instruction(op, l0, l1);
Shucai Xiao's avatar
Shucai Xiao committed
2179
    auto prog = optimize_onnx("group_conv_test.onnx");
2180
2181
2182
2183

    EXPECT(p == prog);
}

turneram's avatar
turneram committed
2184
2185
2186
2187
2188
2189
2190
2191
2192
2193
2194
2195
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
2225
2226
2227
2228
2229
2230
2231
2232
2233
2234
2235
2236
2237
2238
2239
2240
2241
2242
2243
2244
2245
2246
2247
2248
2249
2250
2251
2252
2253
2254
2255
2256
2257
2258
2259
2260
2261
2262
2263
2264
2265
2266
2267
2268
2269
2270
2271
2272
2273
2274
2275
2276
2277
2278
2279
2280
2281
2282
TEST_CASE(hardsigmoid_default_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    std::vector<std::size_t> input_lens{1, 3, 4, 5};
    auto input_type = migraphx::shape::float_type;
    migraphx::shape s{input_type, input_lens};
    auto x = mm->add_parameter("x", s);

    float alpha = 0.2;
    float beta  = 0.5;

    auto mb_alpha = mm->add_instruction(
        migraphx::make_op("multibroadcast", {{"out_lens", input_lens}}),
        mm->add_literal(migraphx::literal{migraphx::shape{input_type}, {alpha}}));
    auto mb_beta = mm->add_instruction(
        migraphx::make_op("multibroadcast", {{"out_lens", input_lens}}),
        mm->add_literal(migraphx::literal{migraphx::shape{input_type}, {beta}}));
    auto mb_zero =
        mm->add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", input_lens}}),
                            mm->add_literal(migraphx::literal{migraphx::shape{input_type}, {0}}));
    auto mb_one =
        mm->add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", input_lens}}),
                            mm->add_literal(migraphx::literal{migraphx::shape{input_type}, {1}}));

    auto mul = mm->add_instruction(migraphx::make_op("mul"), mb_alpha, x);
    auto add = mm->add_instruction(migraphx::make_op("add"), mb_beta, mul);
    mm->add_instruction(migraphx::make_op("clip"), add, mb_zero, mb_one);

    auto prog = optimize_onnx("hardsigmoid_default_test.onnx");
    EXPECT(p == prog);
}

TEST_CASE(hardsigmoid_double_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    std::vector<std::size_t> input_lens{1, 3, 4, 5};
    auto input_type = migraphx::shape::double_type;
    migraphx::shape s{input_type, input_lens};
    auto x = mm->add_parameter("x", s);

    float alpha = 0.3;
    float beta  = 0.7;

    auto mb_alpha = mm->add_instruction(
        migraphx::make_op("multibroadcast", {{"out_lens", input_lens}}),
        mm->add_literal(migraphx::literal{migraphx::shape{input_type}, {alpha}}));
    auto mb_beta = mm->add_instruction(
        migraphx::make_op("multibroadcast", {{"out_lens", input_lens}}),
        mm->add_literal(migraphx::literal{migraphx::shape{input_type}, {beta}}));
    auto mb_zero =
        mm->add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", input_lens}}),
                            mm->add_literal(migraphx::literal{migraphx::shape{input_type}, {0}}));
    auto mb_one =
        mm->add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", input_lens}}),
                            mm->add_literal(migraphx::literal{migraphx::shape{input_type}, {1}}));

    auto mul = mm->add_instruction(migraphx::make_op("mul"), mb_alpha, x);
    auto add = mm->add_instruction(migraphx::make_op("add"), mb_beta, mul);
    mm->add_instruction(migraphx::make_op("clip"), add, mb_zero, mb_one);

    auto prog = optimize_onnx("hardsigmoid_double_test.onnx");
    EXPECT(p == prog);
}

TEST_CASE(hardsigmoid_half_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    std::vector<std::size_t> input_lens{1, 3, 4, 5};
    auto input_type = migraphx::shape::half_type;
    migraphx::shape s{input_type, input_lens};
    auto x = mm->add_parameter("x", s);

    float alpha = 0.2;
    float beta  = 0.5;

    auto mb_alpha = mm->add_instruction(
        migraphx::make_op("multibroadcast", {{"out_lens", input_lens}}),
        mm->add_literal(migraphx::literal{migraphx::shape{input_type}, {alpha}}));
    auto mb_beta = mm->add_instruction(
        migraphx::make_op("multibroadcast", {{"out_lens", input_lens}}),
        mm->add_literal(migraphx::literal{migraphx::shape{input_type}, {beta}}));
    auto mb_zero =
        mm->add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", input_lens}}),
                            mm->add_literal(migraphx::literal{migraphx::shape{input_type}, {0}}));
    auto mb_one =
        mm->add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", input_lens}}),
                            mm->add_literal(migraphx::literal{migraphx::shape{input_type}, {1}}));

    auto mul = mm->add_instruction(migraphx::make_op("mul"), mb_alpha, x);
    auto add = mm->add_instruction(migraphx::make_op("add"), mb_beta, mul);
    mm->add_instruction(migraphx::make_op("clip"), add, mb_zero, mb_one);

    auto prog = optimize_onnx("hardsigmoid_half_test.onnx");
    EXPECT(p == prog);
}

2283
2284
2285
2286
2287
2288
2289
2290
2291
2292
2293
2294
2295
2296
2297
2298
2299
2300
2301
2302
2303
2304
2305
2306
2307
2308
2309
2310
2311
2312
2313
2314
2315
2316
2317
TEST_CASE(hardswish_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    std::vector<std::size_t> input_lens{2, 5};
    auto input_type = migraphx::shape::float_type;
    migraphx::shape s{input_type, input_lens};
    auto x = mm->add_parameter("x", s);

    float alpha = 1.0 / 6.0;
    float beta  = 0.5;

    auto mb_alpha = mm->add_instruction(
        migraphx::make_op("multibroadcast", {{"out_lens", input_lens}}),
        mm->add_literal(migraphx::literal{migraphx::shape{input_type}, {alpha}}));
    auto mb_beta = mm->add_instruction(
        migraphx::make_op("multibroadcast", {{"out_lens", input_lens}}),
        mm->add_literal(migraphx::literal{migraphx::shape{input_type}, {beta}}));
    auto mb_zero =
        mm->add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", input_lens}}),
                            mm->add_literal(migraphx::literal{migraphx::shape{input_type}, {0}}));
    auto mb_one =
        mm->add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", input_lens}}),
                            mm->add_literal(migraphx::literal{migraphx::shape{input_type}, {1}}));

    auto mul         = mm->add_instruction(migraphx::make_op("mul"), mb_alpha, x);
    auto add         = mm->add_instruction(migraphx::make_op("add"), mb_beta, mul);
    auto hardsigmoid = mm->add_instruction(migraphx::make_op("clip"), add, mb_zero, mb_one);
    mm->add_instruction(migraphx::make_op("mul"), x, hardsigmoid);

    auto prog = optimize_onnx("hardswish_test.onnx");

    EXPECT(p == prog);
}

Shucai Xiao's avatar
Shucai Xiao committed
2318
2319
2320
2321
2322
TEST_CASE(if_else_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    migraphx::shape sc{migraphx::shape::bool_type, {1}};
Shucai Xiao's avatar
Shucai Xiao committed
2323
    auto cond = mm->add_literal(migraphx::literal(sc, {0}));
Shucai Xiao's avatar
Shucai Xiao committed
2324
2325
    migraphx::shape s{migraphx::shape::float_type, {2, 3}};
    std::vector<float> ones(s.elements(), 1.0f);
Shucai Xiao's avatar
Shucai Xiao committed
2326
    auto l1                 = mm->add_literal(s, ones);
Shucai Xiao's avatar
Shucai Xiao committed
2327
2328
    std::vector<float> rand = {-0.583375, 0.633757, 0.0668345, -0.479422, -0.604634, 0.0388589};
    auto l2                 = mm->add_literal(s, rand);
Shucai Xiao's avatar
Shucai Xiao committed
2329
2330
2331
2332
2333
2334
    auto x                  = mm->add_parameter("x", s);
    auto y                  = mm->add_parameter("y", s);

    auto* then_mod = p.create_module("If_5_if");
    auto rt        = then_mod->add_instruction(migraphx::make_op("add"), x, l1);
    then_mod->add_return({rt});
Shucai Xiao's avatar
Shucai Xiao committed
2335

Shucai Xiao's avatar
Shucai Xiao committed
2336
2337
2338
    auto* else_mod = p.create_module("If_5_else");
    auto re        = else_mod->add_instruction(migraphx::make_op("mul"), y, l2);
    else_mod->add_return({re});
Shucai Xiao's avatar
Shucai Xiao committed
2339

Shucai Xiao's avatar
Shucai Xiao committed
2340
2341
    auto ret = mm->add_instruction(migraphx::make_op("if"), {cond}, {then_mod, else_mod});
    auto r   = mm->add_instruction(migraphx::make_op("get_tuple_elem", {{"index", 0}}), ret);
Shucai Xiao's avatar
Shucai Xiao committed
2342
2343
2344
2345
2346
2347
2348
2349
2350
2351
2352
2353
2354
2355
    mm->add_return({r});

    std::ifstream ifs("if_else_test.onnx", std::ios::binary);
    ifs.seekg(0, std::ios::end);
    auto length = ifs.tellg();
    ifs.seekg(0, std::ios::beg);
    std::vector<char> onnx_buffer(length);
    ifs.read(onnx_buffer.data(), length);
    ifs.close();

    auto prog = migraphx::parse_onnx_buffer(onnx_buffer.data(), length, {});
    EXPECT(p == prog);
}

2356
2357
2358
2359
2360
2361
TEST_CASE(if_else_empty_shape_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    migraphx::shape sc{migraphx::shape::bool_type, {1}};
    auto cond = mm->add_literal(migraphx::literal(sc, {0}));
2362
    migraphx::shape s_else{migraphx::shape::float_type, {1}, {0}};
2363
2364
2365
    migraphx::shape s{migraphx::shape::float_type, {2, 3}};
    std::vector<float> ones(s.elements(), 1.0f);
    auto l1                 = mm->add_literal(s, ones);
2366
    std::vector<float> rand = {0.382157, 0.527744, -1.79717, -1.1778, -0.305901, -0.0392257};
2367
2368
    auto l2                 = mm->add_literal(s, rand);
    auto x                  = mm->add_parameter("x", s);
2369
    auto y                  = mm->add_parameter("y", s_else);
2370
2371
2372
2373
2374
2375

    auto* then_mod = p.create_module("If_5_if");
    auto rt        = then_mod->add_instruction(migraphx::make_op("add"), x, l1);
    then_mod->add_return({rt});

    auto* else_mod = p.create_module("If_5_else");
2376
2377
2378
    auto broad_y =
        else_mod->add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", {2, 3}}}), y);
    auto re = else_mod->add_instruction(migraphx::make_op("mul"), broad_y, l2);
2379
2380
2381
2382
2383
2384
    else_mod->add_return({re});

    auto ret = mm->add_instruction(migraphx::make_op("if"), {cond}, {then_mod, else_mod});
    auto r   = mm->add_instruction(migraphx::make_op("get_tuple_elem", {{"index", 0}}), ret);
    mm->add_return({r});

Ted Themistokleous's avatar
Ted Themistokleous committed
2385
    auto prog = migraphx::parse_onnx("if_else_empty_shape_test.onnx");
2386
2387
2388
2389
2390
2391
2392
2393
2394
    EXPECT(p == prog);
}

TEST_CASE(if_else_trailing_one_shape_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    migraphx::shape sc{migraphx::shape::bool_type, {1}};
    auto cond = mm->add_literal(migraphx::literal(sc, {0}));
2395
    migraphx::shape s{migraphx::shape::float_type, {2, 1}};
2396
    migraphx::shape s_trail{migraphx::shape::float_type, {2}};
2397
2398
    std::vector<float> ones(s.elements(), 1.0f);
    auto l1                 = mm->add_literal(s, ones);
2399
    std::vector<float> rand = {0.0466969, 0.389311};
2400
    auto l2                 = mm->add_literal(s_trail, rand);
2401
    auto x                  = mm->add_parameter("x", s);
2402
    auto y                  = mm->add_parameter("y", s_trail);
2403
2404
2405
2406
2407
2408
2409

    auto* then_mod = p.create_module("If_5_if");
    auto rt        = then_mod->add_instruction(migraphx::make_op("add"), x, l1);
    then_mod->add_return({rt});

    auto* else_mod = p.create_module("If_5_else");
    auto re        = else_mod->add_instruction(migraphx::make_op("mul"), y, l2);
2410
2411
    auto broad_re  = else_mod->add_instruction(migraphx::make_op("unsqueeze", {{"axes", {1}}}), re);
    else_mod->add_return({broad_re});
2412
2413
2414
2415
2416

    auto ret = mm->add_instruction(migraphx::make_op("if"), {cond}, {then_mod, else_mod});
    auto r   = mm->add_instruction(migraphx::make_op("get_tuple_elem", {{"index", 0}}), ret);
    mm->add_return({r});

Ted Themistokleous's avatar
Ted Themistokleous committed
2417
    auto prog = migraphx::parse_onnx("if_else_trailing_one_shape_test.onnx");
2418
2419
2420
    EXPECT(p == prog);
}

Shucai Xiao's avatar
Shucai Xiao committed
2421
2422
2423
2424
2425
2426
2427
2428
2429
2430
2431
2432
TEST_CASE(if_literal_test)
{
    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_1_if");
    std::vector<float> data1 = {1, 2, 3, 4, 5};
    auto l1                  = then_mod->add_literal(migraphx::literal(s, data1));
Shucai Xiao's avatar
Shucai Xiao committed
2433
    then_mod->add_literal({});
Shucai Xiao's avatar
Shucai Xiao committed
2434
2435
2436
2437
2438
    then_mod->add_return({l1});

    auto* else_mod           = p.create_module("If_1_else");
    std::vector<float> data2 = {5, 4, 3, 2, 1};
    auto l2                  = else_mod->add_literal(migraphx::literal(s, data2));
Shucai Xiao's avatar
Shucai Xiao committed
2439
    else_mod->add_literal({});
Shucai Xiao's avatar
Shucai Xiao committed
2440
2441
2442
    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
2443
2444
    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
2445
2446
2447
2448
2449
2450
2451
2452
2453
2454
2455
2456
2457
2458
2459
2460
2461
2462
2463
2464
2465
2466
2467
2468
2469
2470
2471
2472
2473
2474
2475
2476
2477
2478
2479
2480
2481
2482

    auto prog = migraphx::parse_onnx("if_literal_test.onnx");
    EXPECT(p == prog);
}

TEST_CASE(if_param_excp_test)
{
    EXPECT(test::throws([&] { migraphx::parse_onnx("if_param_excp_test.onnx"); }));
}

TEST_CASE(if_param_excp1_test)
{
    EXPECT(test::throws([&] { migraphx::parse_onnx("if_param_excp1_test.onnx"); }));
}

TEST_CASE(if_param_test)
{
    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 ds{migraphx::shape::float_type, {2, 3}};
    auto x = mm->add_parameter("x", ds);
    auto y = mm->add_parameter("y", ds);

    auto* then_mod           = p.create_module("If_3_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 a1                  = then_mod->add_instruction(migraphx::make_op("add"), x, l1);
    then_mod->add_return({a1});

    auto* else_mod           = p.create_module("If_3_else");
    std::vector<float> data2 = {-0.258047, 0.360394, 0.536804, -0.577762, 1.0217, 1.02442};
    auto l2                  = else_mod->add_literal(migraphx::literal(ds, data2));
    auto a2                  = else_mod->add_instruction(migraphx::make_op("mul"), y, l2);
    else_mod->add_return({a2});

    auto ret = mm->add_instruction(migraphx::make_op("if"), {cond}, {then_mod, else_mod});
Shucai Xiao's avatar
Shucai Xiao committed
2483
2484
    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
2485
2486
2487
2488
2489
2490
2491
2492
2493
2494
2495
2496
2497
2498
2499
2500
2501
2502
2503
2504
2505
2506
2507
2508
2509
2510
2511
2512
2513
2514
2515
2516

    auto prog = migraphx::parse_onnx("if_param_test.onnx");
    EXPECT(p == prog);
}

TEST_CASE(if_pl_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    migraphx::shape cond_s{migraphx::shape::bool_type};
    migraphx::shape xs{migraphx::shape::float_type, {2, 3}};
    migraphx::shape ys{migraphx::shape::float_type, {3, 3}};
    std::vector<float> datax = {1, 2, 3, 4, 5, 6};
    std::vector<float> datay = {8, 7, 6, 5, 4, 3, 2, 1, 0};

    auto lx   = mm->add_literal(migraphx::literal(xs, datax));
    auto ly   = mm->add_literal(migraphx::literal(ys, datay));
    auto cond = mm->add_parameter("cond", cond_s);
    auto x    = mm->add_parameter("x", xs);
    auto y    = mm->add_parameter("y", ys);

    auto* then_mod = p.create_module("If_5_if");
    auto l1        = then_mod->add_literal(migraphx::literal(ys, datay));
    auto a1        = then_mod->add_instruction(migraphx::make_op("add"), x, lx);
    then_mod->add_return({a1, l1});

    auto* else_mod = p.create_module("If_5_else");
    auto l2        = else_mod->add_literal(migraphx::literal(xs, datax));
    auto a2        = else_mod->add_instruction(migraphx::make_op("mul"), y, ly);
    else_mod->add_return({l2, a2});

    auto ret = mm->add_instruction(migraphx::make_op("if"), {cond}, {then_mod, else_mod});
Shucai Xiao's avatar
Shucai Xiao committed
2517
2518
2519
    auto r   = mm->add_instruction(migraphx::make_op("get_tuple_elem", {{"index", 0}}), ret);
    mm->add_instruction(migraphx::make_op("get_tuple_elem", {{"index", 1}}), ret);
    mm->add_return({r});
Shucai Xiao's avatar
Shucai Xiao committed
2520
2521

    auto prog = migraphx::parse_onnx("if_pl_test.onnx");
2522
2523
2524
2525
2526
2527
2528
2529
2530
}

TEST_CASE(if_then_empty_shape_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    migraphx::shape sc{migraphx::shape::bool_type, {1}};
    auto cond = mm->add_literal(migraphx::literal(sc, {1}));
    migraphx::shape s{migraphx::shape::float_type, {2, 3}};
2531
    migraphx::shape s_then{migraphx::shape::float_type, {1}, {0}};
2532
2533
    std::vector<float> ones(s.elements(), 1.0f);
    auto l1                 = mm->add_literal(s, ones);
2534
    std::vector<float> rand = {1.0483, 0.687102, -1.7479, 1.59687, -0.0965695, -0.728357};
2535
    auto l2                 = mm->add_literal(s, rand);
2536
    auto x                  = mm->add_parameter("x", s_then);
2537
2538
2539
    auto y                  = mm->add_parameter("y", s);

    auto* then_mod = p.create_module("If_5_if");
2540
2541
2542
    auto broad_x =
        then_mod->add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", {2, 3}}}), x);
    auto rt = then_mod->add_instruction(migraphx::make_op("add"), broad_x, l1);
2543
2544
2545
2546
2547
2548
2549
2550
2551
2552
2553
2554
2555
2556
2557
2558
2559
2560
2561
2562
    then_mod->add_return({rt});

    auto* else_mod = p.create_module("If_5_else");
    auto re        = else_mod->add_instruction(migraphx::make_op("mul"), y, l2);
    else_mod->add_return({re});

    auto ret = mm->add_instruction(migraphx::make_op("if"), {cond}, {then_mod, else_mod});
    auto r   = mm->add_instruction(migraphx::make_op("get_tuple_elem", {{"index", 0}}), ret);
    mm->add_return({r});

    auto prog = migraphx::parse_onnx("if_then_empty_shape_test.onnx");
    EXPECT(p == prog);
}

TEST_CASE(if_then_trailing_one_shape_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    migraphx::shape sc{migraphx::shape::bool_type, {1}};
    auto cond = mm->add_literal(migraphx::literal(sc, {1}));
2563
    migraphx::shape s{migraphx::shape::float_type, {2, 1}};
2564
    migraphx::shape s_trail{migraphx::shape::float_type, {2}};
2565
    std::vector<float> ones(s.elements(), 1.0f);
2566
    auto l1                 = mm->add_literal(s_trail, ones);
2567
    std::vector<float> rand = {1.24251, 0.23161};
2568
    auto l2                 = mm->add_literal(s, rand);
2569
    auto x                  = mm->add_parameter("x", s_trail);
2570
2571
2572
2573
    auto y                  = mm->add_parameter("y", s);

    auto* then_mod = p.create_module("If_5_if");
    auto rt        = then_mod->add_instruction(migraphx::make_op("add"), x, l1);
2574
2575
    auto broad_rt  = then_mod->add_instruction(migraphx::make_op("unsqueeze", {{"axes", {1}}}), rt);
    then_mod->add_return({broad_rt});
2576
2577
2578
2579
2580
2581
2582
2583
2584
2585

    auto* else_mod = p.create_module("If_5_else");
    auto re        = else_mod->add_instruction(migraphx::make_op("mul"), y, l2);
    else_mod->add_return({re});

    auto ret = mm->add_instruction(migraphx::make_op("if"), {cond}, {then_mod, else_mod});
    auto r   = mm->add_instruction(migraphx::make_op("get_tuple_elem", {{"index", 0}}), ret);
    mm->add_return({r});

    auto prog = migraphx::parse_onnx("if_then_trailing_one_shape_test.onnx");
Shucai Xiao's avatar
Shucai Xiao committed
2586
2587
2588
    EXPECT(p == prog);
}

2589
2590
2591
2592
2593
2594
2595
2596
2597
2598
2599
2600
2601
2602
2603
2604
2605
2606
2607
2608
2609
2610
2611
2612
2613
2614
2615
2616
2617
2618
2619
2620
2621
2622
2623
2624
2625
2626
2627
2628
2629
2630
2631
2632
2633
2634
2635
2636
2637
2638
2639
2640
2641
2642
2643
2644
2645
2646
TEST_CASE(if_then_empty_constant_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    migraphx::shape sc{migraphx::shape::bool_type, {1}};
    auto cond = mm->add_literal(migraphx::literal(sc, {1}));
    migraphx::shape s{migraphx::shape::int64_type, {2, 1}};
    std::vector<int> rand = {-1, 0};
    mm->add_literal(migraphx::shape::int64_type);
    auto l2 = mm->add_literal(s, rand);
    auto y  = mm->add_parameter("y", s);

    auto* then_mod = p.create_module("If_4_if");
    then_mod->add_literal(migraphx::shape::int64_type);
    auto outline = then_mod->add_outline(s);
    then_mod->add_return({outline});

    auto* else_mod = p.create_module("If_4_else");
    auto re        = else_mod->add_instruction(migraphx::make_op("mul"), y, l2);
    else_mod->add_return({re});

    auto ret = mm->add_instruction(migraphx::make_op("if"), {cond}, {then_mod, else_mod});
    auto r   = mm->add_instruction(migraphx::make_op("get_tuple_elem", {{"index", 0}}), ret);
    mm->add_return({r});

    auto prog = migraphx::parse_onnx("if_then_empty_constant_test.onnx");
    EXPECT(p == prog);
}

TEST_CASE(if_else_empty_constant_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    migraphx::shape sc{migraphx::shape::bool_type, {1}};
    auto cond = mm->add_literal(migraphx::literal(sc, {0}));
    migraphx::shape s{migraphx::shape::int64_type, {2, 1}};
    std::vector<int> rand = {1, -2};
    mm->add_literal(migraphx::shape::int64_type);
    auto l2 = mm->add_literal(s, rand);
    auto y  = mm->add_parameter("y", s);

    auto* then_mod = p.create_module("If_4_if");
    auto rt        = then_mod->add_instruction(migraphx::make_op("mul"), y, l2);
    then_mod->add_return({rt});

    auto* else_mod = p.create_module("If_4_else");
    else_mod->add_literal(migraphx::shape::int64_type);
    auto outline = else_mod->add_outline(s);
    else_mod->add_return({outline});

    auto ret = mm->add_instruction(migraphx::make_op("if"), {cond}, {then_mod, else_mod});
    auto r   = mm->add_instruction(migraphx::make_op("get_tuple_elem", {{"index", 0}}), ret);
    mm->add_return({r});

    auto prog = migraphx::parse_onnx("if_else_empty_constant_test.onnx");
    EXPECT(p == prog);
}

2647
2648
2649
2650
2651
2652
2653
2654
2655
2656
2657
2658
2659
2660
2661
2662
TEST_CASE(if_then_else_diff_shape)
{
    EXPECT(test::throws([&] { migraphx::parse_onnx("if_then_else_diff_shape_test.onnx"); }));
}

TEST_CASE(if_then_else_incompatible_shape)
{
    EXPECT(
        test::throws([&] { migraphx::parse_onnx("if_then_else_incompatible_shape_test.onnx"); }));
}

TEST_CASE(if_else_then_diff_types)
{
    EXPECT(test::throws([&] { migraphx::parse_onnx("if_then_else_diff_type_test.onnx"); }));
}

Shucai Xiao's avatar
Shucai Xiao committed
2663
2664
2665
2666
2667
TEST_CASE(if_then_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    migraphx::shape sc{migraphx::shape::bool_type, {1}};
Shucai Xiao's avatar
Shucai Xiao committed
2668
    auto cond = mm->add_literal(migraphx::literal(sc, {1}));
Shucai Xiao's avatar
Shucai Xiao committed
2669
2670
2671
2672
    migraphx::shape s{migraphx::shape::float_type, {2, 3}};
    std::vector<float> ones(s.elements(), 1.0f);
    auto l1                 = mm->add_literal(s, ones);
    std::vector<float> rand = {-1.26487, -2.42279, 0.990835, 1.63072, 0.812238, -0.174946};
Shucai Xiao's avatar
Shucai Xiao committed
2673
2674
2675
    auto l2                 = mm->add_literal(s, rand);
    auto x                  = mm->add_parameter("x", s);
    auto y                  = mm->add_parameter("y", s);
Shucai Xiao's avatar
Shucai Xiao committed
2676

Shucai Xiao's avatar
Shucai Xiao committed
2677
2678
2679
2680
2681
2682
2683
    auto* then_mod = p.create_module("If_5_if");
    auto rt        = then_mod->add_instruction(migraphx::make_op("add"), x, l1);
    then_mod->add_return({rt});

    auto* else_mod = p.create_module("If_5_else");
    auto re        = else_mod->add_instruction(migraphx::make_op("mul"), y, l2);
    else_mod->add_return({re});
Shucai Xiao's avatar
Shucai Xiao committed
2684

Shucai Xiao's avatar
Shucai Xiao committed
2685
2686
    auto ret = mm->add_instruction(migraphx::make_op("if"), {cond}, {then_mod, else_mod});
    auto r   = mm->add_instruction(migraphx::make_op("get_tuple_elem", {{"index", 0}}), ret);
Shucai Xiao's avatar
Shucai Xiao committed
2687
2688
2689
    mm->add_return({r});

    auto prog = migraphx::parse_onnx("if_then_test.onnx");
Shucai Xiao's avatar
Shucai Xiao committed
2690
2691
2692
2693
2694
2695
2696
2697
2698
2699
2700
2701
2702
2703
2704
2705
2706
2707
2708
    EXPECT(p == prog);
}

TEST_CASE(if_tuple_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    migraphx::shape sd{migraphx::shape::float_type, {1}};
    auto l1 = mm->add_literal(migraphx::literal(sd, {1}));
    auto l2 = mm->add_literal(migraphx::literal(sd, {2}));
    auto l3 = mm->add_literal(migraphx::literal(sd, {3}));
    migraphx::shape sx{migraphx::shape::float_type, {1, 4}};
    migraphx::shape sy{migraphx::shape::float_type, {3, 4}};
    migraphx::shape sc{migraphx::shape::bool_type};
    auto cond = mm->add_parameter("cond", sc);
    auto x    = mm->add_parameter("x", sx);
    auto y    = mm->add_parameter("y", sy);

    auto* then_mod = p.create_module("If_6_if");
2709
2710
    auto m1 =
        then_mod->add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", {1, 4}}}), l1);
Shucai Xiao's avatar
Shucai Xiao committed
2711
    auto add0 = then_mod->add_instruction(migraphx::make_op("add"), x, m1);
2712
2713
    auto m2 =
        then_mod->add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", {3, 4}}}), l2);
Shucai Xiao's avatar
Shucai Xiao committed
2714
2715
2716
2717
    auto mul0 = then_mod->add_instruction(migraphx::make_op("mul"), y, m2);
    then_mod->add_return({add0, mul0});

    auto* else_mod = p.create_module("If_6_else");
2718
2719
    auto me1 =
        else_mod->add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", {1, 4}}}), l3);
Shucai Xiao's avatar
Shucai Xiao committed
2720
    auto mul1 = else_mod->add_instruction(migraphx::make_op("mul"), x, me1);
2721
2722
    auto me2 =
        else_mod->add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", {3, 4}}}), l3);
Shucai Xiao's avatar
Shucai Xiao committed
2723
2724
2725
2726
2727
2728
2729
    auto add1 = else_mod->add_instruction(migraphx::make_op("add"), y, me2);
    else_mod->add_return({mul1, add1});

    auto ret = mm->add_instruction(migraphx::make_op("if"), {cond}, {then_mod, else_mod});
    auto r0  = mm->add_instruction(migraphx::make_op("get_tuple_elem", {{"index", 0}}), ret);
    auto r1  = mm->add_instruction(migraphx::make_op("get_tuple_elem", {{"index", 1}}), ret);
    mm->add_return({r0, r1});
Shucai Xiao's avatar
Shucai Xiao committed
2730

Shucai Xiao's avatar
Shucai Xiao committed
2731
    auto prog = migraphx::parse_onnx("if_tuple_test.onnx");
Shucai Xiao's avatar
Shucai Xiao committed
2732
2733
2734
    EXPECT(p == prog);
}

Charlie Lin's avatar
Charlie Lin committed
2735
2736
2737
2738
2739
2740
2741
2742
2743
2744
2745
2746
2747
2748
2749
2750
2751
2752
2753
2754
2755
2756
2757
2758
2759
2760
TEST_CASE(isnan_float_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    migraphx::shape s{migraphx::shape::float_type, {2, 3}};
    auto t1  = mm->add_parameter("t1", s);
    auto ret = mm->add_instruction(migraphx::make_op("isnan"), t1);
    mm->add_return({ret});

    auto prog = migraphx::parse_onnx("isnan_float_test.onnx");
    EXPECT(p == prog);
}

TEST_CASE(isnan_half_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    migraphx::shape s{migraphx::shape::half_type, {2, 3}};
    auto t1  = mm->add_parameter("t1", s);
    auto ret = mm->add_instruction(migraphx::make_op("isnan"), t1);
    mm->add_return({ret});

    auto prog = migraphx::parse_onnx("isnan_half_test.onnx");
    EXPECT(p == prog);
}

Khalique's avatar
Khalique committed
2761
TEST_CASE(imagescaler_test)
2762
2763
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
2764
    auto* mm = p.get_main_module();
Khalique's avatar
Khalique committed
2765
    migraphx::shape s{migraphx::shape::float_type, {1, 3, 16, 16}};
Shucai Xiao's avatar
Shucai Xiao committed
2766
2767
2768
    auto l0        = mm->add_parameter("0", s);
    auto scale_val = mm->add_literal(0.5f);
    auto bias_vals = mm->add_literal(
Khalique's avatar
Khalique committed
2769
        migraphx::literal{migraphx::shape{migraphx::shape::float_type, {3}}, {0.01, 0.02, 0.03}});
2770
2771
2772
2773
    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"), l0, scaled_tensor);
    auto bias_bcast = mm->add_instruction(
2774
        migraphx::make_op("broadcast", {{"axis", 1}, {"out_lens", s.lens()}}), bias_vals);
2775
    mm->add_instruction(migraphx::make_op("add"), img_scaled, bias_bcast);
Khalique's avatar
Khalique committed
2776

Shucai Xiao's avatar
Shucai Xiao committed
2777
    auto prog = optimize_onnx("imagescaler_test.onnx");
2778
2779
2780
2781

    EXPECT(p == prog);
}

Shucai Xiao's avatar
Shucai Xiao committed
2782
2783
2784
TEST_CASE(imagescaler_half_test)
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
2785
    auto* mm = p.get_main_module();
Shucai Xiao's avatar
Shucai Xiao committed
2786
    migraphx::shape s{migraphx::shape::half_type, {1, 3, 16, 16}};
Shucai Xiao's avatar
Shucai Xiao committed
2787
    auto l0 = mm->add_parameter("0", s);
Shucai Xiao's avatar
Shucai Xiao committed
2788
    auto scale_val =
Shucai Xiao's avatar
Shucai Xiao committed
2789
2790
        mm->add_literal(migraphx::literal{migraphx::shape{migraphx::shape::half_type}, {0.5f}});
    auto bias_vals = mm->add_literal(
Shucai Xiao's avatar
Shucai Xiao committed
2791
        migraphx::literal{migraphx::shape{migraphx::shape::half_type, {3}}, {0.01, 0.02, 0.03}});
2792
2793
2794
2795
    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"), l0, scaled_tensor);
    auto bias_bcast = mm->add_instruction(
2796
        migraphx::make_op("broadcast", {{"axis", 1}, {"out_lens", s.lens()}}), bias_vals);
2797
    mm->add_instruction(migraphx::make_op("add"), img_scaled, bias_bcast);
Shucai Xiao's avatar
Shucai Xiao committed
2798
2799
2800
2801
2802
2803

    auto prog = optimize_onnx("imagescaler_half_test.onnx");

    EXPECT(p == prog);
}

Khalique's avatar
Khalique committed
2804
TEST_CASE(implicit_add_bcast_test)
2805
2806
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
2807
2808
2809
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("0", migraphx::shape{migraphx::shape::float_type, {2, 3, 4, 5}});
    auto l1  = mm->add_parameter("1", migraphx::shape{migraphx::shape::float_type, {3, 4, 1}});
2810
2811
    auto l3 =
        mm->add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", {2, 3, 4, 5}}}), l1);
2812
    mm->add_instruction(migraphx::make_op("add"), l0, l3);
Khalique's avatar
Khalique committed
2813

Shucai Xiao's avatar
Shucai Xiao committed
2814
    auto prog = optimize_onnx("implicit_add_bcast_test.onnx");
2815
2816
2817
2818

    EXPECT(p == prog);
}

2819
2820
2821
TEST_CASE(implicit_add_bcast_user_input_shape_test)
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
2822
2823
2824
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("0", migraphx::shape{migraphx::shape::float_type, {3, 4, 5, 6}});
    auto l1  = mm->add_parameter("1", migraphx::shape{migraphx::shape::float_type, {4, 5, 1}});
2825
2826
    auto l3 =
        mm->add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", {3, 4, 5, 6}}}), l1);
2827
    auto r = mm->add_instruction(migraphx::make_op("add"), l0, l3);
Shucai Xiao's avatar
Shucai Xiao committed
2828
    mm->add_return({r});
2829
2830
2831
2832
2833
2834
2835
2836
2837

    migraphx::onnx_options options;
    options.map_input_dims["0"] = {3, 4, 5, 6};
    options.map_input_dims["1"] = {4, 5, 1};
    auto prog                   = migraphx::parse_onnx("implicit_add_bcast_test.onnx", options);

    EXPECT(p == prog);
}

Khalique's avatar
Khalique committed
2838
TEST_CASE(implicit_pow_bcast_test)
2839
2840
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
2841
2842
2843
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("0", migraphx::shape{migraphx::shape::float_type, {2, 3, 4, 5}});
    auto l1  = mm->add_parameter("1", migraphx::shape{migraphx::shape::float_type, {3, 4, 1}});
2844
2845
    auto l3 =
        mm->add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", {2, 3, 4, 5}}}), l1);
2846
    mm->add_instruction(migraphx::make_op("pow"), l0, l3);
Khalique's avatar
Khalique committed
2847

Shucai Xiao's avatar
Shucai Xiao committed
2848
    auto prog = optimize_onnx("implicit_pow_bcast_test.onnx");
2849
2850
2851
2852

    EXPECT(p == prog);
}

Khalique's avatar
Khalique committed
2853
TEST_CASE(implicit_sub_bcast_test)
2854
2855
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
2856
2857
2858
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("0", migraphx::shape{migraphx::shape::uint64_type, {2, 3, 4, 5}});
    auto l1  = mm->add_parameter("1", migraphx::shape{migraphx::shape::uint64_type, {4, 5}});
2859
2860
    auto l3 =
        mm->add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", {2, 3, 4, 5}}}), l1);
2861
    mm->add_instruction(migraphx::make_op("sub"), l0, l3);
Khalique's avatar
Khalique committed
2862

Shucai Xiao's avatar
Shucai Xiao committed
2863
    auto prog = optimize_onnx("implicit_sub_bcast_test.onnx");
2864
2865
2866
2867

    EXPECT(p == prog);
}

2868
2869
2870
TEST_CASE(initializer_not_an_input)
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
2871
    auto* mm             = p.get_main_module();
2872
    std::vector<float> w = {1, 2, 3, 4, 5, 6, 7, 8};
Shucai Xiao's avatar
Shucai Xiao committed
2873
2874
    auto l1 = mm->add_literal(migraphx::literal({migraphx::shape::float_type, {2, 4}}, w));
    auto l0 = mm->add_parameter("x", migraphx::shape{migraphx::shape::float_type, {5, 2}});
2875
    migraphx::add_apply_alpha_beta(*mm, {l0, l1}, migraphx::make_op("dot"), 1.0f, 0.0f);
Shucai Xiao's avatar
Shucai Xiao committed
2876
    auto prog = optimize_onnx("initializer_not_an_input.onnx");
kahmed10's avatar
kahmed10 committed
2877
2878
2879
2880
2881
2882
2883
2884
2885
2886
2887

    EXPECT(p == prog);
}

TEST_CASE(instance_norm_test)
{
    std::vector<size_t> dims{1, 2, 3, 3};
    migraphx::shape s1{migraphx::shape::float_type, dims};
    migraphx::shape s2{migraphx::shape::float_type, {2}};

    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
2888
2889
2890
2891
2892
    auto* mm   = p.get_main_module();
    auto x     = mm->add_parameter("0", s1);
    auto scale = mm->add_parameter("1", s2);
    auto bias  = mm->add_parameter("2", s2);

2893
2894
    auto mean = mm->add_instruction(migraphx::make_op("reduce_mean", {{"axes", {2, 3}}}), x);
    auto mean_bcast =
2895
        mm->add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", dims}}), mean);
2896
2897
2898
    auto l0       = mm->add_instruction(migraphx::make_op("sqdiff"), x, mean_bcast);
    auto variance = mm->add_instruction(migraphx::make_op("reduce_mean", {{"axes", {2, 3}}}), l0);
    auto l1       = mm->add_instruction(migraphx::make_op("sub"), x, mean_bcast);
2899
2900
2901
    auto epsilon_literal =
        mm->add_literal(migraphx::literal{migraphx::shape{migraphx::shape::float_type}, {1e-5}});
    auto epsilon_bcast = mm->add_instruction(
2902
        migraphx::make_op("multibroadcast", {{"out_lens", dims}}), epsilon_literal);
2903
    auto variance_bcast =
2904
2905
2906
2907
2908
2909
2910
2911
        mm->add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", dims}}), variance);
    auto l2          = mm->add_instruction(migraphx::make_op("add"), variance_bcast, epsilon_bcast);
    auto l3          = mm->add_instruction(migraphx::make_op("rsqrt"), l2);
    auto l4          = mm->add_instruction(migraphx::make_op("mul"), l1, l3);
    auto scale_bcast = mm->add_instruction(
        migraphx::make_op("broadcast", {{"axis", 1}, {"out_lens", dims}}), scale);
    auto bias_bcast = mm->add_instruction(
        migraphx::make_op("broadcast", {{"axis", 1}, {"out_lens", dims}}), bias);
2912
2913
    auto l5 = mm->add_instruction(migraphx::make_op("mul"), l4, scale_bcast);
    mm->add_instruction(migraphx::make_op("add"), l5, bias_bcast);
kahmed10's avatar
kahmed10 committed
2914
2915

    auto prog = optimize_onnx("instance_norm_test.onnx");
2916
2917
2918
2919

    EXPECT(p == prog);
}

2920
2921
2922
2923
2924
2925
2926
2927
2928
2929
2930
2931
2932
2933
2934
2935
2936
2937
2938
2939
2940
2941
2942
2943
2944
2945
2946
2947
2948
2949
2950
2951
2952
2953
2954
2955
2956
2957
2958
2959
2960
2961
2962
2963
2964
2965
2966
2967
2968
2969
2970
2971
2972
2973
TEST_CASE(instance_norm_half_test)
{
    std::vector<size_t> dims{1, 2, 3, 3};
    migraphx::shape s1{migraphx::shape::half_type, dims};
    migraphx::shape s2{migraphx::shape::half_type, {2}};

    migraphx::program p;
    auto* mm   = p.get_main_module();
    auto x     = mm->add_parameter("0", s1);
    auto scale = mm->add_parameter("1", s2);
    auto bias  = mm->add_parameter("2", s2);

    auto mean = mm->add_instruction(migraphx::make_op("reduce_mean", {{"axes", {2, 3}}}), x);
    auto mean_bcast =
        mm->add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", dims}}), mean);
    auto l0       = mm->add_instruction(migraphx::make_op("sqdiff"), x, mean_bcast);
    auto variance = mm->add_instruction(migraphx::make_op("reduce_mean", {{"axes", {2, 3}}}), l0);
    auto l1       = mm->add_instruction(migraphx::make_op("sub"), x, mean_bcast);
    auto epsilon_literal =
        mm->add_literal(migraphx::literal{migraphx::shape{migraphx::shape::half_type}, {1e-5}});
    auto epsilon_bcast = mm->add_instruction(
        migraphx::make_op("multibroadcast", {{"out_lens", dims}}), epsilon_literal);
    auto variance_bcast =
        mm->add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", dims}}), variance);
    auto l2          = mm->add_instruction(migraphx::make_op("add"), variance_bcast, epsilon_bcast);
    auto l3          = mm->add_instruction(migraphx::make_op("rsqrt"), l2);
    auto l4          = mm->add_instruction(migraphx::make_op("mul"), l1, l3);
    auto scale_bcast = mm->add_instruction(
        migraphx::make_op("broadcast", {{"axis", 1}, {"out_lens", dims}}), scale);
    auto bias_bcast = mm->add_instruction(
        migraphx::make_op("broadcast", {{"axis", 1}, {"out_lens", dims}}), bias);
    auto l5 = mm->add_instruction(migraphx::make_op("mul"), l4, scale_bcast);
    mm->add_instruction(migraphx::make_op("add"), l5, bias_bcast);

    auto prog = optimize_onnx("instance_norm_half_test.onnx");

    EXPECT(p == prog);
}

TEST_CASE(instance_norm_type_mismatch_test)
{
    EXPECT(test::throws([&] { migraphx::parse_onnx("instance_norm_type_mismatch_test.onnx"); }));
}

TEST_CASE(instance_norm_invalid_type_test)
{
    EXPECT(test::throws([&] { migraphx::parse_onnx("instance_norm_invalid_type_test.onnx"); }));
}

TEST_CASE(instance_norm_nonbroadcastable_test)
{
    EXPECT(test::throws([&] { migraphx::parse_onnx("instance_norm_nonbroadcastable_test.onnx"); }));
}

Khalique's avatar
Khalique committed
2974
TEST_CASE(leaky_relu_test)
2975
2976
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
2977
    auto* mm    = p.get_main_module();
Khalique's avatar
Khalique committed
2978
    float alpha = 0.01f;
Shucai Xiao's avatar
Shucai Xiao committed
2979
    auto l0     = mm->add_parameter("0", {migraphx::shape::float_type, {3}});
2980
    mm->add_instruction(migraphx::make_op("leaky_relu", {{"alpha", alpha}}), l0);
Khalique's avatar
Khalique committed
2981

Shucai Xiao's avatar
Shucai Xiao committed
2982
    auto prog = optimize_onnx("leaky_relu_test.onnx");
2983
2984
2985
2986

    EXPECT(p == prog);
}

2987
2988
2989
TEST_CASE(less_test)
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
2990
    auto* mm = p.get_main_module();
2991
2992
2993
    migraphx::shape s{migraphx::shape::float_type, {2, 3}};
    std::vector<float> data = {1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f};

Shucai Xiao's avatar
Shucai Xiao committed
2994
2995
    auto input1 = mm->add_literal(migraphx::literal(s, data));
    auto input2 = mm->add_parameter("x2", migraphx::shape{migraphx::shape::float_type, {2, 3}});
2996
2997
2998
2999
3000
    auto le     = mm->add_instruction(migraphx::make_op("less"), input1, input2);
    auto ret    = mm->add_instruction(
        migraphx::make_op("convert",
                          {{"target_type", migraphx::to_value(migraphx::shape::bool_type)}}),
        le);
Shucai Xiao's avatar
Shucai Xiao committed
3001
    mm->add_return({ret});
3002
3003
3004
3005
3006
3007
3008
3009

    auto prog = migraphx::parse_onnx("less_test.onnx");
    EXPECT(p == prog);
}

TEST_CASE(less_bool_test)
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
3010
    auto* mm = p.get_main_module();
3011
3012
3013
    migraphx::shape sf{migraphx::shape::float_type, {2, 3}};
    migraphx::shape sb{migraphx::shape::bool_type, {2, 3}};

Shucai Xiao's avatar
Shucai Xiao committed
3014
3015
    auto input1 = mm->add_parameter("x1", sf);
    auto input2 = mm->add_parameter("x2", sb);
3016
3017
3018
3019
3020
    auto cin1   = mm->add_instruction(
        migraphx::make_op("convert",
                          {{"target_type", migraphx::to_value(migraphx::shape::bool_type)}}),
        input1);
    auto ret = mm->add_instruction(migraphx::make_op("less"), cin1, input2);
Shucai Xiao's avatar
Shucai Xiao committed
3021
    mm->add_return({ret});
3022
3023
3024
3025
3026

    auto prog = migraphx::parse_onnx("less_bool_test.onnx");
    EXPECT(p == prog);
}

Cagri Eryilmaz's avatar
Cagri Eryilmaz committed
3027
3028
3029
3030
3031
3032
3033
TEST_CASE(lessorequal_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();

    auto input1 = mm->add_parameter("x1", migraphx::shape{migraphx::shape::float_type, {3}});
    auto input2 = mm->add_parameter("x2", migraphx::shape{migraphx::shape::float_type, {3}});
kahmed10's avatar
kahmed10 committed
3034
    auto temp   = mm->add_instruction(migraphx::make_op("greater"), input1, input2);
Shucai Xiao's avatar
Shucai Xiao committed
3035
3036
3037
    auto bt     = mm->add_instruction(
        migraphx::make_op("convert", {{"target_type", migraphx::shape::bool_type}}), temp);
    auto le = mm->add_instruction(migraphx::make_op("not"), bt);
kahmed10's avatar
kahmed10 committed
3038

Cagri Eryilmaz's avatar
Cagri Eryilmaz committed
3039
3040
3041
3042
3043
3044
    mm->add_return({le});

    auto prog = migraphx::parse_onnx("lessorequal_test.onnx");
    EXPECT(p == prog);
}

Khalique's avatar
Khalique committed
3045
TEST_CASE(log_test)
3046
3047
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
3048
3049
    auto* mm   = p.get_main_module();
    auto input = mm->add_parameter("x", migraphx::shape{migraphx::shape::float_type, {10}});
3050
    mm->add_instruction(migraphx::make_op("log"), input);
3051

Shucai Xiao's avatar
Shucai Xiao committed
3052
    auto prog = optimize_onnx("log_test.onnx");
3053
3054
3055
    EXPECT(p == prog);
}

Shucai Xiao's avatar
Shucai Xiao committed
3056
3057
3058
3059
3060
3061
3062
TEST_CASE(logical_and_bcast_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("0", migraphx::shape{migraphx::shape::bool_type, {2, 3, 4, 5}});
    auto l1  = mm->add_parameter("1", migraphx::shape{migraphx::shape::bool_type, {4, 5}});
    auto l2  = mm->add_instruction(
3063
        migraphx::make_op("multibroadcast", {{"out_lens", l0->get_shape().lens()}}), l1);
Shucai Xiao's avatar
Shucai Xiao committed
3064
3065
3066
3067
3068
3069
3070
3071
3072
3073
3074
3075
3076
3077
3078
3079
3080
3081
3082
3083
3084
3085
3086
3087
3088
3089
3090
3091
3092
    auto ret = mm->add_instruction(migraphx::make_op("logical_and"), l0, l2);
    mm->add_return({ret});

    auto prog = migraphx::parse_onnx("logical_and_bcast_test.onnx");

    EXPECT(p == prog);
}

TEST_CASE(logical_or_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("0", migraphx::shape{migraphx::shape::bool_type, {2, 3, 4, 5}});
    auto l1  = mm->add_parameter("1", migraphx::shape{migraphx::shape::bool_type, {2, 3, 4, 5}});
    auto ret = mm->add_instruction(migraphx::make_op("logical_or"), l0, l1);
    mm->add_return({ret});

    auto prog = migraphx::parse_onnx("logical_or_test.onnx");

    EXPECT(p == prog);
}

TEST_CASE(logical_xor_bcast_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("0", migraphx::shape{migraphx::shape::bool_type, {2, 3, 4, 5}});
    auto l1  = mm->add_parameter("1", migraphx::shape{migraphx::shape::bool_type, {4, 1}});
    auto l2  = mm->add_instruction(
3093
        migraphx::make_op("multibroadcast", {{"out_lens", l0->get_shape().lens()}}), l1);
Shucai Xiao's avatar
Shucai Xiao committed
3094
3095
3096
3097
3098
3099
3100
3101
    auto ret = mm->add_instruction(migraphx::make_op("logical_xor"), l0, l2);
    mm->add_return({ret});

    auto prog = migraphx::parse_onnx("logical_xor_bcast_test.onnx");

    EXPECT(p == prog);
}

Khalique's avatar
Khalique committed
3102
TEST_CASE(logsoftmax_test)
3103
3104
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
3105
3106
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("x", migraphx::shape{migraphx::shape::float_type, {3, 4, 5, 6}});
Khalique's avatar
Khalique committed
3107
    int axis = 1;
3108
    mm->add_instruction(migraphx::make_op("logsoftmax", {{"axis", axis}}), l0);
Shucai Xiao's avatar
Shucai Xiao committed
3109
    auto prog = optimize_onnx("logsoftmax_test.onnx");
3110
3111
3112
3113

    EXPECT(p == prog);
}

3114
3115
3116
3117
3118
3119
3120
TEST_CASE(logsoftmax_nonstd_input_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("0", migraphx::shape{migraphx::shape::float_type, {6, 9}});
    auto l1  = mm->add_instruction(
        migraphx::make_op("slice", {{"axes", {0, 1}}, {"starts", {1, 0}}, {"ends", {4, 4}}}), l0);
Shucai Xiao's avatar
Shucai Xiao committed
3121
    auto l2 = mm->add_instruction(migraphx::make_op("logsoftmax", {{"axis", -1}}), l1);
3122
3123
3124
3125
3126
3127
3128
    mm->add_return({l2});

    auto prog = migraphx::parse_onnx("logsoftmax_nonstd_input_test.onnx");

    EXPECT(p == prog);
}

Shucai Xiao's avatar
Shucai Xiao committed
3129
3130
3131
3132
3133
3134
3135
3136
3137
3138
3139
3140
3141
3142
3143
3144
3145
3146
3147
3148
3149
3150
3151
3152
3153
3154
3155
3156
3157
3158
3159
3160
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
TEST_CASE(loop_default_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();

    migraphx::shape su{migraphx::shape::float_type};
    auto a = mm->add_parameter("a", su);
    auto b = mm->add_parameter("b", su);
    migraphx::shape si{migraphx::shape::int64_type};
    auto max_iter = mm->add_literal(migraphx::literal(si, {10}));
    migraphx::shape sc{migraphx::shape::bool_type};
    auto icond = mm->add_literal(migraphx::literal(sc, {1}));
    mm->add_instruction(migraphx::make_op("undefined"));

    auto* body = p.create_module("Loop_3_loop");
    body->add_parameter("iteration_num", {migraphx::shape::int64_type});
    body->add_parameter("keep_going_inp", {migraphx::shape::bool_type});
    auto var = body->add_parameter("b_in", su);

    auto ad = body->add_instruction(migraphx::make_op("add"), a, var);
    auto sb = body->add_instruction(migraphx::make_op("sub"), a, var);
    auto gt = body->add_instruction(migraphx::make_op("greater"), ad, sb);
    auto cv = body->add_instruction(
        migraphx::make_op("convert", {{"target_type", migraphx::shape::bool_type}}), gt);
    auto ad1 = body->add_instruction(migraphx::make_op("add"), sb, sb);
    body->add_return({cv, sb, ad, ad1});

    auto lp = mm->add_instruction(
        migraphx::make_op("loop", {{"max_iterations", 10}}), {max_iter, icond, b}, {body});
    auto r0 = mm->add_instruction(migraphx::make_op("get_tuple_elem", {{"index", 0}}), lp);
    mm->add_instruction(migraphx::make_op("get_tuple_elem", {{"index", 1}}), lp);
    auto r2 = mm->add_instruction(migraphx::make_op("get_tuple_elem", {{"index", 2}}), lp);
    mm->add_return({r0, r2});

    auto prog = migraphx::parse_onnx("loop_default_test.onnx");

    EXPECT(p == prog);
}

TEST_CASE(loop_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    migraphx::shape si{migraphx::shape::int64_type, {1}};
    auto max_iter = mm->add_parameter("max_trip_count", si);
    migraphx::shape sc{migraphx::shape::bool_type, {1}};
    auto icond = mm->add_parameter("keep_going_cond", sc);
    migraphx::shape su{migraphx::shape::float_type, {1}};
    auto a = mm->add_parameter("a", su);
    auto b = mm->add_parameter("b", su);

    auto* body = p.create_module("Loop_4_loop");
    body->add_parameter("iteration_num", si);
    body->add_parameter("keep_going_inp", sc);
    auto var = body->add_parameter("b_in", su);

    auto ad = body->add_instruction(migraphx::make_op("add"), a, var);
    auto sb = body->add_instruction(migraphx::make_op("sub"), a, var);
    auto gt = body->add_instruction(migraphx::make_op("greater"), ad, sb);
    auto cv = body->add_instruction(
        migraphx::make_op("convert", {{"target_type", migraphx::shape::bool_type}}), gt);
    auto ad1 = body->add_instruction(migraphx::make_op("add"), sb, sb);
    body->add_return({cv, sb, ad, ad1});

    auto lp = mm->add_instruction(
        migraphx::make_op("loop", {{"max_iterations", 10}}), {max_iter, icond, b}, {body});
    auto r0 = mm->add_instruction(migraphx::make_op("get_tuple_elem", {{"index", 0}}), lp);
    mm->add_instruction(migraphx::make_op("get_tuple_elem", {{"index", 1}}), lp);
    auto r2 = mm->add_instruction(migraphx::make_op("get_tuple_elem", {{"index", 2}}), lp);
    mm->add_return({r0, r2});

    auto prog = migraphx::parse_onnx("loop_test.onnx");

    EXPECT(p == prog);
}

Charlie Lin's avatar
Charlie Lin committed
3205
3206
3207
3208
3209
3210
3211
3212
3213
3214
3215
3216
3217
3218
3219
3220
3221
3222
3223
3224
3225
3226
3227
3228
3229
3230
3231
3232
3233
3234
3235
3236
3237
3238
3239
3240
3241
3242
3243
3244
TEST_CASE(lpnormalization_default_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    std::vector<std::size_t> input_lens{3, 4};
    auto input_type = migraphx::shape::float_type;
    migraphx::shape s{input_type, input_lens};
    auto x = mm->add_parameter("x", s);

    std::ptrdiff_t axis = 0;
    auto p_val          = mm->add_instruction(migraphx::make_op("mul"), x, x);
    auto norms = mm->add_instruction(migraphx::make_op("reduce_sum", {{"axes", {axis}}}), p_val);
    norms      = mm->add_instruction(migraphx::make_op("sqrt"), norms);
    norms =
        mm->add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", input_lens}}), norms);
    auto zero_mb =
        mm->add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", input_lens}}),
                            mm->add_literal(migraphx::literal{migraphx::shape{input_type}, {0.}}));
    auto one_mb =
        mm->add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", input_lens}}),
                            mm->add_literal(migraphx::literal{migraphx::shape{input_type}, {1.}}));
    auto is_zero = mm->add_instruction(migraphx::make_op("equal"), norms, zero_mb);
    auto norms_zeros_to_one =
        mm->add_instruction(migraphx::make_op("where"), is_zero, one_mb, norms);
    mm->add_instruction(migraphx::make_op("div"), x, norms_zeros_to_one);

    auto prog = optimize_onnx("lpnormalization_default_test.onnx");
    EXPECT(p == prog);
}

TEST_CASE(lpnormalization_axis_error_test)
{
    EXPECT(test::throws([&] { migraphx::parse_onnx("lpnormalization_axis_error_test.onnx"); }));
}

TEST_CASE(lpnormalization_p_error_test)
{
    EXPECT(test::throws([&] { migraphx::parse_onnx("lpnormalization_p_error_test.onnx"); }));
}

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
TEST_CASE(lppool_l1_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("x", {migraphx::shape::float_type, {1, 3, 5}});
    mm->add_instruction(migraphx::make_op("pooling",
                                          {{"mode", migraphx::op::pooling_mode::lpnorm},
                                           {"padding", {0, 0}},
                                           {"stride", {1}},
                                           {"lengths", {3}},
                                           {"lp_order", 1}}),
                        l0);
    auto prog = optimize_onnx("lppool_l1_test.onnx");
    EXPECT(p == prog);
}

TEST_CASE(lppool_l2_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("x", {migraphx::shape::float_type, {1, 3, 5}});
    mm->add_instruction(migraphx::make_op("pooling",
                                          {{"mode", migraphx::op::pooling_mode::lpnorm},
                                           {"padding", {0, 0}},
                                           {"stride", {1}},
                                           {"lengths", {3}},
                                           {"lp_order", 2}}),
                        l0);
    auto prog = optimize_onnx("lppool_l2_test.onnx");
    EXPECT(p == prog);
}

Khalique's avatar
Khalique committed
3277
TEST_CASE(lrn_test)
3278
3279
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
3280
3281
    auto* mm = p.get_main_module();
    auto l0 = mm->add_parameter("0", migraphx::shape{migraphx::shape::float_type, {1, 28, 24, 24}});
Khalique's avatar
Khalique committed
3282
3283
3284
3285
3286
    migraphx::op::lrn op;
    op.size  = 5;
    op.alpha = 0.0001;
    op.beta  = 0.75;
    op.bias  = 1.0;
Shucai Xiao's avatar
Shucai Xiao committed
3287
    mm->add_instruction(op, l0);
Shucai Xiao's avatar
Shucai Xiao committed
3288
    auto prog = optimize_onnx("lrn_test.onnx");
3289
3290
3291
3292

    EXPECT(p == prog);
}

Khalique's avatar
Khalique committed
3293
TEST_CASE(matmul_bmbm_test)
3294
3295
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
3296
3297
3298
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("1", migraphx::shape{migraphx::shape::float_type, {3, 6, 7}});
    auto l1 = mm->add_parameter("2", migraphx::shape{migraphx::shape::float_type, {5, 2, 1, 7, 8}});
3299
    auto bl0 = mm->add_instruction(
3300
        migraphx::make_op("multibroadcast", {{"out_lens", {5, 2, 3, 6, 7}}}), l0);
3301
    auto bl1 = mm->add_instruction(
3302
        migraphx::make_op("multibroadcast", {{"out_lens", {5, 2, 3, 7, 8}}}), l1);
3303
    migraphx::add_apply_alpha_beta(*mm, {bl0, bl1}, migraphx::make_op("dot"), 1.0f, 0.0f);
Shucai Xiao's avatar
Shucai Xiao committed
3304
    auto prog = optimize_onnx("matmul_bmbm_test.onnx");
3305
3306
3307
3308

    EXPECT(p == prog);
}

Khalique's avatar
Khalique committed
3309
TEST_CASE(matmul_bmv_test)
3310
{
Khalique's avatar
Khalique committed
3311
    migraphx::program p;
3312
3313
3314
3315
3316
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("1", migraphx::shape{migraphx::shape::float_type, {3, 6, 7}});
    auto l1  = mm->add_parameter("2", migraphx::shape{migraphx::shape::float_type, {7}});
    auto sl1 = mm->add_instruction(migraphx::make_op("unsqueeze", {{"axes", {1}}}), l1);
    auto bsl1 =
3317
        mm->add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", {3, 7, 1}}}), sl1);
3318
    auto res =
3319
        migraphx::add_apply_alpha_beta(*mm, {l0, bsl1}, migraphx::make_op("dot"), 1.0f, 0.0f);
3320
    mm->add_instruction(migraphx::make_op("squeeze", {{"axes", {2}}}), res);
3321

Shucai Xiao's avatar
Shucai Xiao committed
3322
    auto prog = optimize_onnx("matmul_bmv_test.onnx");
3323

Khalique's avatar
Khalique committed
3324
    EXPECT(p == prog);
3325
3326
}

Khalique's avatar
Khalique committed
3327
TEST_CASE(matmul_mv_test)
3328
3329
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
3330
3331
3332
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("1", migraphx::shape{migraphx::shape::float_type, {6, 7}});
    auto l1  = mm->add_parameter("2", migraphx::shape{migraphx::shape::float_type, {7}});
3333
    auto sl1 = mm->add_instruction(migraphx::make_op("unsqueeze", {{"axes", {1}}}), l1);
3334
    auto res = migraphx::add_apply_alpha_beta(*mm, {l0, sl1}, migraphx::make_op("dot"), 1.0f, 0.0f);
3335
    mm->add_instruction(migraphx::make_op("squeeze", {{"axes", {1}}}), res);
Khalique's avatar
Khalique committed
3336

Shucai Xiao's avatar
Shucai Xiao committed
3337
    auto prog = optimize_onnx("matmul_mv_test.onnx");
3338
3339
3340
3341

    EXPECT(p == prog);
}

Khalique's avatar
Khalique committed
3342
TEST_CASE(matmul_vbm_test)
3343
3344
{
    migraphx::program p;
3345
3346
3347
3348
3349
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("1", migraphx::shape{migraphx::shape::float_type, {7}});
    auto l1  = mm->add_parameter("2", migraphx::shape{migraphx::shape::float_type, {5, 7, 8}});
    auto sl0 = mm->add_instruction(migraphx::make_op("unsqueeze", {{"axes", {0}}}), l0);
    auto bsl0 =
3350
        mm->add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", {5, 1, 7}}}), sl0);
3351
    auto res =
3352
        migraphx::add_apply_alpha_beta(*mm, {bsl0, l1}, migraphx::make_op("dot"), 1.0f, 0.0f);
3353
    mm->add_instruction(migraphx::make_op("squeeze", {{"axes", {1}}}), res);
Khalique's avatar
Khalique committed
3354

Shucai Xiao's avatar
Shucai Xiao committed
3355
    auto prog = optimize_onnx("matmul_vbm_test.onnx");
3356
3357
3358
3359

    EXPECT(p == prog);
}

Khalique's avatar
Khalique committed
3360
TEST_CASE(matmul_vm_test)
3361
3362
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
3363
3364
3365
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("1", migraphx::shape{migraphx::shape::float_type, {7}});
    auto l1  = mm->add_parameter("2", migraphx::shape{migraphx::shape::float_type, {7, 8}});
3366
    auto sl0 = mm->add_instruction(migraphx::make_op("unsqueeze", {{"axes", {0}}}), l0);
3367
    auto res = migraphx::add_apply_alpha_beta(*mm, {sl0, l1}, migraphx::make_op("dot"), 1.0f, 0.0f);
3368
    mm->add_instruction(migraphx::make_op("squeeze", {{"axes", {0}}}), res);
Khalique's avatar
Khalique committed
3369

Shucai Xiao's avatar
Shucai Xiao committed
3370
    auto prog = optimize_onnx("matmul_vm_test.onnx");
3371
3372
3373
3374

    EXPECT(p == prog);
}

Khalique's avatar
Khalique committed
3375
TEST_CASE(matmul_vv_test)
3376
3377
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
3378
3379
3380
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("1", migraphx::shape{migraphx::shape::float_type, {7}});
    auto l1  = mm->add_parameter("2", migraphx::shape{migraphx::shape::float_type, {7}});
3381
3382
    auto sl0 = mm->add_instruction(migraphx::make_op("unsqueeze", {{"axes", {0}}}), l0);
    auto sl1 = mm->add_instruction(migraphx::make_op("unsqueeze", {{"axes", {1}}}), l1);
3383
    auto res =
3384
        migraphx::add_apply_alpha_beta(*mm, {sl0, sl1}, migraphx::make_op("dot"), 1.0f, 0.0f);
3385
3386
    auto sr0 = mm->add_instruction(migraphx::make_op("squeeze", {{"axes", {0}}}), res);
    mm->add_instruction(migraphx::make_op("squeeze", {{"axes", {0}}}), sr0);
3387

Shucai Xiao's avatar
Shucai Xiao committed
3388
    auto prog = optimize_onnx("matmul_vv_test.onnx");
3389
3390
3391
3392

    EXPECT(p == prog);
}

3393
3394
3395
TEST_CASE(matmulinteger_test)
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
3396
3397
3398
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("1", migraphx::shape{migraphx::shape::int8_type, {3, 6, 16}});
    auto l1  = mm->add_parameter("2", migraphx::shape{migraphx::shape::int8_type, {3, 16, 8}});
3399
    mm->add_instruction(migraphx::make_op("quant_dot"), l0, l1);
3400
3401
3402
3403
3404
3405

    auto prog = optimize_onnx("matmulinteger_test.onnx");

    EXPECT(p == prog);
}

Khalique's avatar
Khalique committed
3406
TEST_CASE(max_test)
3407
3408
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
3409
3410
3411
3412
    auto* mm    = p.get_main_module();
    auto input0 = mm->add_parameter("0", migraphx::shape{migraphx::shape::float_type, {3}});
    auto input1 = mm->add_parameter("1", migraphx::shape{migraphx::shape::float_type, {3}});
    auto input2 = mm->add_parameter("2", migraphx::shape{migraphx::shape::float_type, {3}});
3413
3414
    auto l0     = mm->add_instruction(migraphx::make_op("max"), input0, input1);
    mm->add_instruction(migraphx::make_op("max"), l0, input2);
3415

3416
3417
3418
    auto prog = optimize_onnx("max_test.onnx");

    EXPECT(p == prog);
Khalique's avatar
Khalique committed
3419
}
3420

3421
3422
3423
TEST_CASE(maxpool_notset_test)
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
3424
3425
    auto* mm   = p.get_main_module();
    auto input = mm->add_parameter("x", migraphx::shape{migraphx::shape::float_type, {1, 1, 5, 5}});
3426
3427
3428
3429
3430
3431
    mm->add_instruction(migraphx::make_op("pooling",
                                          {{"mode", migraphx::op::pooling_mode::max},
                                           {"padding", {0, 0, 1, 1}},
                                           {"stride", {2, 2}},
                                           {"lengths", {6, 6}}}),
                        input);
3432
3433
3434
3435
3436
3437
3438
3439
3440

    auto prog = optimize_onnx("maxpool_notset_test.onnx");

    EXPECT(p == prog);
}

TEST_CASE(maxpool_same_upper_test)
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
3441
3442
    auto* mm   = p.get_main_module();
    auto input = mm->add_parameter("x", migraphx::shape{migraphx::shape::float_type, {1, 1, 5, 5}});
3443
3444
3445
3446
3447
3448
    mm->add_instruction(migraphx::make_op("pooling",
                                          {{"mode", migraphx::op::pooling_mode::max},
                                           {"padding", {0, 0, 1, 1}},
                                           {"stride", {1, 1}},
                                           {"lengths", {2, 2}}}),
                        input);
3449
3450
3451
3452
3453
3454

    auto prog = optimize_onnx("maxpool_same_upper_test.onnx");

    EXPECT(p == prog);
}

turneram's avatar
turneram committed
3455
3456
3457
3458
3459
3460
3461
3462
3463
3464
3465
3466
3467
3468
3469
3470
3471
3472
3473
3474
3475
3476
3477
3478
3479
3480
3481
3482
3483
3484
3485
3486
3487
3488
3489
3490
3491
3492
3493
3494
3495
3496
3497
3498
TEST_CASE(mean_invalid_broadcast_test)
{
    EXPECT(test::throws([&] { migraphx::parse_onnx("mean_invalid_broadcast_test.onnx"); }));
}

TEST_CASE(mean_single_input_test)
{
    migraphx::program p;
    auto* mm   = p.get_main_module();
    auto data0 = mm->add_parameter("0", migraphx::shape{migraphx::shape::float_type, {1, 2, 3}});
    mm->add_return({data0});

    auto prog = migraphx::parse_onnx("mean_single_input_test.onnx");

    EXPECT(p == prog);
}

TEST_CASE(mean_test)
{
    const std::size_t num_data = 3;
    migraphx::program p;
    auto* mm = p.get_main_module();
    migraphx::shape s{migraphx::shape::half_type, {1, 2, 3}};
    auto data0   = mm->add_parameter("0", s);
    auto data1   = mm->add_parameter("1", s);
    auto data2   = mm->add_parameter("2", s);
    auto div_lit = mm->add_literal(migraphx::literal{migraphx::shape{s.type()}, {num_data}});
    auto divisor =
        mm->add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", s.lens()}}), div_lit);
    auto mean = mm->add_instruction(migraphx::make_op("div"), data0, divisor);
    divisor =
        mm->add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", s.lens()}}), div_lit);
    data1 = mm->add_instruction(migraphx::make_op("div"), data1, divisor);
    mean  = mm->add_instruction(migraphx::make_op("add"), mean, data1);
    divisor =
        mm->add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", s.lens()}}), div_lit);
    data2 = mm->add_instruction(migraphx::make_op("div"), data2, divisor);
    mean  = mm->add_instruction(migraphx::make_op("add"), mean, data2);

    auto prog = optimize_onnx("mean_fp16_test.onnx");

    EXPECT(p == prog);
}

3499
3500
3501
3502
3503
3504
3505
3506
3507
3508
3509
3510
3511
3512
3513
3514
3515
3516
3517
3518
3519
3520
3521
3522
TEST_CASE(mean_integral_test)
{
    const std::size_t num_data = 10;
    migraphx::program p;
    auto* mm = p.get_main_module();
    migraphx::shape s{migraphx::shape::int32_type, {2, 2, 2}};

    auto mean = mm->add_parameter("0", s);
    for(std::size_t i = 1; i < num_data; ++i)
    {
        auto data = mm->add_parameter(std::to_string(i), s);
        mean      = mm->add_instruction(migraphx::make_op("add"), mean, data);
    }

    auto div_lit = mm->add_literal(migraphx::literal{migraphx::shape{s.type()}, {num_data}});
    auto divisor =
        mm->add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", s.lens()}}), div_lit);
    mean = mm->add_instruction(migraphx::make_op("div"), mean, divisor);

    auto prog = optimize_onnx("mean_integral_test.onnx");

    EXPECT(p == prog);
}

Khalique's avatar
Khalique committed
3523
3524
3525
TEST_CASE(min_test)
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
3526
3527
3528
3529
    auto* mm    = p.get_main_module();
    auto input0 = mm->add_parameter("0", migraphx::shape{migraphx::shape::float_type, {3}});
    auto input1 = mm->add_parameter("1", migraphx::shape{migraphx::shape::float_type, {3}});
    auto input2 = mm->add_parameter("2", migraphx::shape{migraphx::shape::float_type, {3}});
3530
3531
    auto l0     = mm->add_instruction(migraphx::make_op("min"), input0, input1);
    mm->add_instruction(migraphx::make_op("min"), l0, input2);
Khalique's avatar
Khalique committed
3532

3533
3534
3535
    auto prog = optimize_onnx("min_test.onnx");

    EXPECT(p == prog);
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
TEST_CASE(mod_test)
{
    migraphx::program p;
    auto* mm    = p.get_main_module();
    auto input0 = mm->add_parameter("0", migraphx::shape{migraphx::shape::int32_type, {3, 3, 3}});
    auto input1 = mm->add_parameter("1", migraphx::shape{migraphx::shape::int32_type, {3, 3, 3}});
    mm->add_instruction(migraphx::make_op("mod"), input0, input1);

    auto prog = optimize_onnx("mod_test.onnx");

    EXPECT(p == prog);
}

TEST_CASE(mod_test_half)
{
    EXPECT(test::throws([&] { migraphx::parse_onnx("mod_test_half.onnx"); }));
}

TEST_CASE(mod_test_different_dtypes)
{
    migraphx::program p;
    auto* mm    = p.get_main_module();
    auto input0 = mm->add_parameter("0", migraphx::shape{migraphx::shape::int16_type, {3, 3, 3}});
    auto input1 = mm->add_parameter("1", migraphx::shape{migraphx::shape::int32_type, {3, 3, 3}});
    add_common_op(*mm, migraphx::make_op("mod"), {input0, input1});

    auto prog = optimize_onnx("mod_test_different_dtypes.onnx");

    EXPECT(p == prog);
}

TEST_CASE(mod_test_fmod)
{
    migraphx::program p;
    auto* mm    = p.get_main_module();
    auto input0 = mm->add_parameter("0", migraphx::shape{migraphx::shape::float_type, {3, 3, 3}});
    auto input1 = mm->add_parameter("1", migraphx::shape{migraphx::shape::float_type, {3, 3, 3}});
    mm->add_instruction(migraphx::make_op("fmod"), input0, input1);

    auto prog = optimize_onnx("mod_test_fmod.onnx");

    EXPECT(p == prog);
}

TEST_CASE(mod_test_fmod_half)
{
    migraphx::program p;
    auto* mm    = p.get_main_module();
    auto input0 = mm->add_parameter("0", migraphx::shape{migraphx::shape::half_type, {3, 3, 3}});
    auto input1 = mm->add_parameter("1", migraphx::shape{migraphx::shape::half_type, {3, 3, 3}});
    mm->add_instruction(migraphx::make_op("fmod"), input0, input1);

    auto prog = optimize_onnx("mod_test_fmod_half.onnx");

    EXPECT(p == prog);
}

TEST_CASE(mod_test_fmod_different_dtypes)
{
    migraphx::program p;
    auto* mm    = p.get_main_module();
    auto input0 = mm->add_parameter("0", migraphx::shape{migraphx::shape::float_type, {3, 3, 3}});
    auto input1 = mm->add_parameter("1", migraphx::shape{migraphx::shape::int32_type, {3, 3, 3}});
    add_common_op(*mm, migraphx::make_op("fmod"), {input0, input1});

    auto prog = optimize_onnx("mod_test_fmod_different_dtypes.onnx");

    EXPECT(p == prog);
}

turneram's avatar
turneram committed
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
TEST_CASE(multinomial_test)
{
    migraphx::program p;
    auto* mm           = p.get_main_module();
    size_t sample_size = 10;
    float seed         = 0.0f;

    auto input = mm->add_parameter("input", migraphx::shape{migraphx::shape::float_type, {1, 10}});
    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, 10}}}), 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);

    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});

    mm->add_instruction(migraphx::make_op("multinomial"), cdf, rs_lit);

    auto prog = optimize_onnx("multinomial_test.onnx");

    EXPECT(p == prog);
}

TEST_CASE(multinomial_dtype_error_test)
{
    EXPECT(test::throws([&] { migraphx::parse_onnx("multinomial_dtype_error_test.onnx"); }));
}

3643
3644
3645
3646
3647
3648
3649
3650
TEST_CASE(multinomial_generated_seed_test)
{
    auto p1 = optimize_onnx("multinomial_generated_seed_test.onnx");
    auto p2 = optimize_onnx("multinomial_generated_seed_test.onnx");

    EXPECT(p1 != p2);
}

turneram's avatar
turneram committed
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
TEST_CASE(multinomial_int64_test)
{
    migraphx::program p;
    auto* mm                      = p.get_main_module();
    size_t sample_size            = 10;
    float seed                    = 1.0f;
    migraphx::shape::type_t dtype = migraphx::shape::type_t::int64_type;

    auto input = mm->add_parameter("input", migraphx::shape{migraphx::shape::float_type, {1, 10}});
    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, 10}}}), 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);

    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});

    mm->add_instruction(migraphx::make_op("multinomial", {{"dtype", dtype}}), cdf, rs_lit);

    auto prog = optimize_onnx("multinomial_int64_test.onnx");

    EXPECT(p == prog);
}

Khalique's avatar
Khalique committed
3682
TEST_CASE(no_pad_test)
3683
3684
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
3685
3686
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("0", migraphx::shape{migraphx::shape::float_type, {2, 2}});
3687
    mm->add_instruction(migraphx::make_op("identity"), l0);
Shucai Xiao's avatar
Shucai Xiao committed
3688
    auto prog = optimize_onnx("no_pad_test.onnx");
3689

Khalique's avatar
Khalique committed
3690
3691
3692
    EXPECT(p == prog);
}

Shucai Xiao's avatar
Shucai Xiao committed
3693
3694
3695
TEST_CASE(neg_test)
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
3696
    auto* mm = p.get_main_module();
Shucai Xiao's avatar
Shucai Xiao committed
3697
    migraphx::shape s{migraphx::shape::int64_type, {2, 3}};
Shucai Xiao's avatar
Shucai Xiao committed
3698
    auto input = mm->add_parameter("0", s);
3699
    auto ret   = mm->add_instruction(migraphx::make_op("neg"), input);
Shucai Xiao's avatar
Shucai Xiao committed
3700
    mm->add_return({ret});
Shucai Xiao's avatar
Shucai Xiao committed
3701
3702
3703
3704
3705
3706

    auto prog = migraphx::parse_onnx("neg_test.onnx");

    EXPECT(p == prog);
}

3707
3708
3709
3710
3711
3712
3713
3714
3715
3716
3717
3718
3719
3720
3721
3722
3723
3724
3725
3726
TEST_CASE(nms_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    migraphx::shape sb{migraphx::shape::float_type, {1, 6, 4}};
    auto b = mm->add_parameter("boxes", sb);

    migraphx::shape ss{migraphx::shape::float_type, {1, 1, 6}};
    auto s = mm->add_parameter("scores", ss);

    migraphx::shape smo{migraphx::shape::int64_type, {1}};
    auto mo = mm->add_parameter("max_output_boxes_per_class", smo);

    migraphx::shape siou{migraphx::shape::float_type, {1}};
    auto iou = mm->add_parameter("iou_threshold", siou);

    migraphx::shape sst{migraphx::shape::float_type, {1}};
    auto st = mm->add_parameter("score_threshold", sst);

    auto ret = mm->add_instruction(
Charlie Lin's avatar
Charlie Lin committed
3727
        migraphx::make_op("nonmaxsuppression", {{"center_point_box", true}}), b, s, mo, iou, st);
3728
3729
3730
3731
3732
3733
    mm->add_return({ret});

    auto prog = migraphx::parse_onnx("nms_test.onnx");
    EXPECT(p == prog);
}

Charlie Lin's avatar
Charlie Lin committed
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
TEST_CASE(nms_dynamic_batch_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    migraphx::shape sb{migraphx::shape::float_type, {{1, 10, 0}, {6, 6, 0}, {4, 4, 0}}};
    auto b = mm->add_parameter("boxes", sb);
    migraphx::shape ss{migraphx::shape::float_type, {{1, 10, 0}, {1, 1, 0}, {6, 6, 0}}};
    auto s = mm->add_parameter("scores", ss);
    migraphx::shape smo{migraphx::shape::int64_type, {1}};
    auto mo = mm->add_parameter("max_output_boxes_per_class", smo);
    migraphx::shape siou{migraphx::shape::float_type, {1}};
    auto iou = mm->add_parameter("iou_threshold", siou);
    migraphx::shape sst{migraphx::shape::float_type, {1}};
    auto st  = mm->add_parameter("score_threshold", sst);
    auto ret = mm->add_instruction(
        migraphx::make_op("nonmaxsuppression",
                          {{"center_point_box", true}, {"use_dyn_output", true}}),
        b,
        s,
        mo,
        iou,
        st);
    mm->add_return({ret});

    migraphx::onnx_options options;
    options.default_dyn_dim_value = {1, 10, 0};
    options.use_dyn_output        = true;

    auto prog = migraphx::parse_onnx("nms_dynamic_batch_test.onnx", options);
    EXPECT(p == prog);
}

TEST_CASE(nms_dynamic_boxes_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    migraphx::shape sb{migraphx::shape::float_type, {{1, 1, 0}, {6, 20, 0}, {4, 4, 0}}};
    auto b = mm->add_parameter("boxes", sb);
    migraphx::shape ss{migraphx::shape::float_type, {{1, 1, 0}, {1, 1, 0}, {6, 20, 0}}};
    auto s = mm->add_parameter("scores", ss);
    migraphx::shape smo{migraphx::shape::int64_type, {1}};
    auto mo = mm->add_parameter("max_output_boxes_per_class", smo);
    migraphx::shape siou{migraphx::shape::float_type, {1}};
    auto iou = mm->add_parameter("iou_threshold", siou);
    migraphx::shape sst{migraphx::shape::float_type, {1}};
    auto st  = mm->add_parameter("score_threshold", sst);
    auto ret = mm->add_instruction(
        migraphx::make_op("nonmaxsuppression", {{"use_dyn_output", true}}), b, s, mo, iou, st);
    mm->add_return({ret});

    migraphx::onnx_options options;
    options.default_dyn_dim_value = {6, 20, 0};
    options.use_dyn_output        = true;

    auto prog = migraphx::parse_onnx("nms_dynamic_boxes_test.onnx", options);
    EXPECT(p == prog);
}

TEST_CASE(nms_dynamic_classes_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    migraphx::shape sb{migraphx::shape::float_type, {1, 6, 4}};
    auto b = mm->add_parameter("boxes", sb);
    migraphx::shape ss{migraphx::shape::float_type, {{1, 1, 0}, {1, 10, 0}, {6, 6, 0}}};
    auto s = mm->add_parameter("scores", ss);
    migraphx::shape smo{migraphx::shape::int64_type, {1}};
    auto mo = mm->add_parameter("max_output_boxes_per_class", smo);
    migraphx::shape siou{migraphx::shape::float_type, {1}};
    auto iou = mm->add_parameter("iou_threshold", siou);
    migraphx::shape sst{migraphx::shape::float_type, {1}};
    auto st  = mm->add_parameter("score_threshold", sst);
    auto ret = mm->add_instruction(
        migraphx::make_op("nonmaxsuppression", {{"use_dyn_output", true}}), b, s, mo, iou, st);
    mm->add_return({ret});

    migraphx::onnx_options options;
    options.default_dyn_dim_value = {1, 10, 0};
    options.use_dyn_output        = true;

    auto prog = migraphx::parse_onnx("nms_dynamic_classes_test.onnx", options);
    EXPECT(p == prog);
}

TEST_CASE(nms_overwrite_use_dyn_output_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    migraphx::shape sb{migraphx::shape::float_type, {1, 6, 4}};
    auto b = mm->add_parameter("boxes", sb);

    migraphx::shape ss{migraphx::shape::float_type, {1, 1, 6}};
    auto s = mm->add_parameter("scores", ss);

    migraphx::shape smo{migraphx::shape::int64_type, {1}};
    auto mo = mm->add_parameter("max_output_boxes_per_class", smo);

    migraphx::shape siou{migraphx::shape::float_type, {1}};
    auto iou = mm->add_parameter("iou_threshold", siou);

    migraphx::shape sst{migraphx::shape::float_type, {1}};
    auto st = mm->add_parameter("score_threshold", sst);

    auto ret = mm->add_instruction(
        migraphx::make_op("nonmaxsuppression", {{"use_dyn_output", true}}), b, s, mo, iou, st);
    mm->add_return({ret});

    migraphx::onnx_options options;
    options.use_dyn_output = true;

    auto prog = migraphx::parse_onnx("nms_use_dyn_output_false_test.onnx", options);
    EXPECT(p == prog);
}

Shucai Xiao's avatar
Shucai Xiao committed
3848
3849
3850
3851
3852
3853
3854
3855
3856
3857
3858
3859
3860
TEST_CASE(nonzero_dynamic_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    migraphx::shape s{migraphx::shape::bool_type, {2, 2}};
    auto data = mm->add_parameter("data", s);
    auto r    = mm->add_instruction(migraphx::make_op("nonzero"), data);
    mm->add_return({r});

    auto prog = migraphx::parse_onnx("nonzero_dynamic_test.onnx");
    EXPECT(p == prog);
}

Shucai Xiao's avatar
Shucai Xiao committed
3861
3862
3863
TEST_CASE(nonzero_test)
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
3864
    auto* mm = p.get_main_module();
Shucai Xiao's avatar
Shucai Xiao committed
3865
3866
    migraphx::shape s{migraphx::shape::float_type, {2, 2}};
    std::vector<float> data = {1, 0, 1, 1};
Shucai Xiao's avatar
Shucai Xiao committed
3867
    mm->add_literal(migraphx::literal(s, data));
Shucai Xiao's avatar
Shucai Xiao committed
3868
3869
3870

    migraphx::shape si{migraphx::shape::int64_type, {2, 3}};
    std::vector<int64_t> indices = {0, 1, 1, 0, 0, 1};
Shucai Xiao's avatar
Shucai Xiao committed
3871
3872
    auto r                       = mm->add_literal(migraphx::literal(si, indices));
    mm->add_return({r});
Shucai Xiao's avatar
Shucai Xiao committed
3873
3874
3875
3876
3877
3878
3879
3880

    auto prog = migraphx::parse_onnx("nonzero_test.onnx");
    EXPECT(p == prog);
}

TEST_CASE(nonzero_int_test)
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
3881
    auto* mm = p.get_main_module();
Shucai Xiao's avatar
Shucai Xiao committed
3882
    migraphx::shape s{migraphx::shape::int16_type, {2, 3}};
Shucai Xiao's avatar
Shucai Xiao committed
3883
    std::vector<int> data = {1, 1, 0, 1, 0, 1};
Shucai Xiao's avatar
Shucai Xiao committed
3884
    mm->add_literal(migraphx::literal(s, data.begin(), data.end()));
Shucai Xiao's avatar
Shucai Xiao committed
3885
3886
3887

    migraphx::shape si{migraphx::shape::int64_type, {2, 4}};
    std::vector<int64_t> indices = {0, 0, 1, 1, 0, 1, 0, 2};
Shucai Xiao's avatar
Shucai Xiao committed
3888
3889
    auto r                       = mm->add_literal(migraphx::literal(si, indices));
    mm->add_return({r});
Shucai Xiao's avatar
Shucai Xiao committed
3890
3891
3892
3893
3894

    auto prog = migraphx::parse_onnx("nonzero_int_test.onnx");
    EXPECT(p == prog);
}

3895
3896
3897
3898
3899
3900
3901
3902
3903
3904
3905
3906
3907
3908
3909
3910
3911
3912
3913
3914
3915
3916
3917
3918
3919
3920
TEST_CASE(not_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("0", migraphx::shape{migraphx::shape::int32_type, {4}});
    auto ret = mm->add_instruction(migraphx::make_op("not"), l0);
    mm->add_return({ret});

    auto prog = migraphx::parse_onnx("not_test.onnx");

    EXPECT(p == prog);
}

TEST_CASE(not_bool_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("0", migraphx::shape{migraphx::shape::bool_type, {4}});
    auto ret = mm->add_instruction(migraphx::make_op("not"), l0);
    mm->add_return({ret});

    auto prog = migraphx::parse_onnx("not_bool_test.onnx");

    EXPECT(p == prog);
}

kahmed10's avatar
kahmed10 committed
3921
3922
3923
TEST_CASE(onehot_test)
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
3924
    auto* mm = p.get_main_module();
Shucai Xiao's avatar
Shucai Xiao committed
3925
3926
    migraphx::shape s_ind{migraphx::shape::int32_type, {5, 2}};
    migraphx::shape s_val{migraphx::shape::half_type, {2}};
Shucai Xiao's avatar
Shucai Xiao committed
3927
3928
3929
    mm->add_literal(3);
    auto l_ind = mm->add_parameter("indices", s_ind);
    auto l_val = mm->add_parameter("values", s_val);
Shucai Xiao's avatar
Shucai Xiao committed
3930
3931
    migraphx::shape s_dep{migraphx::shape::half_type, {3, 3}};
    std::vector<float> data_dep{1, 0, 0, 0, 1, 0, 0, 0, 1};
Shucai Xiao's avatar
Shucai Xiao committed
3932
    auto l_dep      = mm->add_literal(migraphx::literal(s_dep, data_dep));
3933
    auto gather_out = mm->add_instruction(migraphx::make_op("gather", {{"axis", 0}}), l_dep, l_ind);
3934
3935
    auto tr_out  = mm->add_instruction(migraphx::make_op("transpose", {{"permutation", {2, 0, 1}}}),
                                      gather_out);
3936
3937
3938
3939
3940
3941
    auto off_val = mm->add_instruction(
        migraphx::make_op("slice", {{"axes", {0}}, {"starts", {0}}, {"ends", {1}}}), l_val);
    auto on_val = mm->add_instruction(
        migraphx::make_op("slice", {{"axes", {0}}, {"starts", {1}}, {"ends", {2}}}), l_val);
    auto diff       = mm->add_instruction(migraphx::make_op("sub"), on_val, off_val);
    auto mb_off_val = mm->add_instruction(
3942
3943
3944
        migraphx::make_op("multibroadcast", {{"out_lens", {3, 5, 2}}}), off_val);
    auto mb_diff =
        mm->add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", {3, 5, 2}}}), diff);
3945
3946
    auto mul = mm->add_instruction(migraphx::make_op("mul"), tr_out, mb_diff);
    auto r   = mm->add_instruction(migraphx::make_op("add"), mul, mb_off_val);
Shucai Xiao's avatar
Shucai Xiao committed
3947
    mm->add_return({r});
Shucai Xiao's avatar
Shucai Xiao committed
3948
3949

    auto prog = migraphx::parse_onnx("onehot_test.onnx");
kahmed10's avatar
kahmed10 committed
3950
3951
3952
3953

    EXPECT(p == prog);
}

Khalique's avatar
Khalique committed
3954
3955
3956
TEST_CASE(pad_test)
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
3957
3958
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("0", migraphx::shape{migraphx::shape::float_type, {2, 2}});
3959
    mm->add_instruction(migraphx::make_op("pad", {{"pads", {1, 1, 1, 1}}}), l0);
Shucai Xiao's avatar
Shucai Xiao committed
3960
    auto prog = optimize_onnx("pad_test.onnx");
3961
3962
3963
3964

    EXPECT(p == prog);
}

3965
3966
3967
TEST_CASE(pad_3arg_test)
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
3968
3969
3970
3971
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("0", migraphx::shape{migraphx::shape::float_type, {2, 2}});
    mm->add_literal({migraphx::shape{migraphx::shape::float_type}, {1.0f}});
    mm->add_literal({migraphx::shape{migraphx::shape::int32_type, {4}}, {1, 1, 2, 2}});
3972
3973
    auto r = mm->add_instruction(
        migraphx::make_op("pad", {{"pads", {1, 1, 2, 2}}, {"value", 1.0f}}), l0);
Shucai Xiao's avatar
Shucai Xiao committed
3974
    mm->add_return({r});
3975
3976
3977
3978
3979
3980

    auto prog = migraphx::parse_onnx("pad_3arg_test.onnx");

    EXPECT(p == prog);
}

kahmed10's avatar
kahmed10 committed
3981
3982
3983
TEST_CASE(pad_reflect_test)
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
3984
3985
3986
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("0", migraphx::shape{migraphx::shape::float_type, {2, 2}});
    mm->add_literal({migraphx::shape{migraphx::shape::int32_type, {4}}, {0, 2, 0, 1}});
3987
3988
3989
3990
3991
3992
3993
    auto l1 = mm->add_instruction(
        migraphx::make_op("slice", {{"axes", {0, 1}}, {"starts", {0, 1}}, {"ends", {2, 2}}}), l0);
    auto l2 = mm->add_instruction(
        migraphx::make_op("slice", {{"axes", {0, 1}}, {"starts", {0, 0}}, {"ends", {2, 1}}}), l0);
    auto l3 = mm->add_instruction(
        migraphx::make_op("slice", {{"axes", {0, 1}}, {"starts", {0, 0}}, {"ends", {2, 1}}}), l0);
    auto r = mm->add_instruction(migraphx::make_op("concat", {{"axis", 1}}), l2, l1, l0, l3);
Shucai Xiao's avatar
Shucai Xiao committed
3994
    mm->add_return({r});
kahmed10's avatar
kahmed10 committed
3995
3996
3997
3998
3999
4000
4001
4002
4003

    auto prog = migraphx::parse_onnx("pad_reflect_test.onnx");

    EXPECT(p == prog);
}

TEST_CASE(pad_reflect_multiaxis_test)
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
4004
4005
4006
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("0", migraphx::shape{migraphx::shape::float_type, {2, 3}});
    mm->add_literal({migraphx::shape{migraphx::shape::int32_type, {4}}, {0, 2, 2, 0}});
4007
4008
4009
4010
4011
4012
4013
4014
4015
4016
    auto l1 = mm->add_instruction(
        migraphx::make_op("slice", {{"axes", {0, 1}}, {"starts", {0, 1}}, {"ends", {2, 2}}}), l0);
    auto l2 = mm->add_instruction(
        migraphx::make_op("slice", {{"axes", {0, 1}}, {"starts", {0, 2}}, {"ends", {2, 3}}}), l0);
    auto l3 = mm->add_instruction(migraphx::make_op("concat", {{"axis", 1}}), l2, l1, l0);
    auto l4 = mm->add_instruction(
        migraphx::make_op("slice", {{"axes", {0, 1}}, {"starts", {0, 0}}, {"ends", {1, 5}}}), l3);
    auto l5 = mm->add_instruction(
        migraphx::make_op("slice", {{"axes", {0, 1}}, {"starts", {1, 0}}, {"ends", {2, 5}}}), l3);
    auto r = mm->add_instruction(migraphx::make_op("concat", {{"axis", 0}}), l3, l4, l5);
Shucai Xiao's avatar
Shucai Xiao committed
4017
    mm->add_return({r});
kahmed10's avatar
kahmed10 committed
4018
4019
4020
4021
4022
4023

    auto prog = migraphx::parse_onnx("pad_reflect_multiaxis_test.onnx");

    EXPECT(p == prog);
}

Khalique's avatar
Khalique committed
4024
TEST_CASE(pow_test)
4025
4026
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
4027
4028
4029
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("0", migraphx::shape{migraphx::shape::float_type, {2, 3, 4, 5}});
    auto l1  = mm->add_parameter("1", migraphx::shape{migraphx::shape::float_type, {2, 3, 4, 5}});
4030
    mm->add_instruction(migraphx::make_op("pow"), l0, l1);
4031

Shucai Xiao's avatar
Shucai Xiao committed
4032
    auto prog = optimize_onnx("pow_test.onnx");
4033
4034
4035
4036

    EXPECT(p == prog);
}

Shucai Xiao's avatar
Shucai Xiao committed
4037
4038
4039
4040
4041
4042
4043
4044
4045
4046
4047
4048
4049
4050
4051
4052
4053
4054
4055
4056
4057
4058
4059
4060
4061
4062
4063
4064
4065
4066
4067
4068
4069
4070
TEST_CASE(pow_fp32_i64_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("0", migraphx::shape{migraphx::shape::float_type, {2, 3, 4, 5}});
    auto l1  = mm->add_parameter("1", migraphx::shape{migraphx::shape::int64_type, {2, 3, 4, 5}});
    auto l1f = mm->add_instruction(
        migraphx::make_op("convert", {{"target_type", migraphx::shape::float_type}}), l1);
    auto ret = mm->add_instruction(migraphx::make_op("pow"), l0, l1f);
    mm->add_return({ret});

    auto prog = migraphx::parse_onnx("pow_fp32_i64_test.onnx");

    EXPECT(p == prog);
}

TEST_CASE(pow_i64_fp32_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("0", migraphx::shape{migraphx::shape::int64_type, {2, 3, 4, 5}});
    auto l1  = mm->add_parameter("1", migraphx::shape{migraphx::shape::float_type, {2, 3, 4, 5}});
    auto l0f = mm->add_instruction(
        migraphx::make_op("convert", {{"target_type", migraphx::shape::float_type}}), l0);
    auto fr = mm->add_instruction(migraphx::make_op("pow"), l0f, l1);
    auto ir = mm->add_instruction(
        migraphx::make_op("convert", {{"target_type", migraphx::shape::int64_type}}), fr);
    mm->add_return({ir});

    auto prog = migraphx::parse_onnx("pow_i64_fp32_test.onnx");

    EXPECT(p == prog);
}

turneram's avatar
turneram committed
4071
4072
4073
4074
4075
4076
4077
4078
4079
4080
4081
4082
4083
4084
4085
TEST_CASE(prefix_scan_sum)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    mm->add_literal({migraphx::shape{migraphx::shape::int32_type, {1}, {1}}, {0}});
    auto l0  = mm->add_parameter("x", migraphx::shape{migraphx::shape::float_type, {2, 2, 2}});
    auto ret = mm->add_instruction(
        migraphx::make_op("prefix_scan_sum", {{"axis", 0}, {"exclusive", true}, {"reverse", true}}),
        l0);
    mm->add_return({ret});

    auto prog = migraphx::parse_onnx("prefix_scan_sum_test.onnx");
    EXPECT(p == prog);
}

Shucai Xiao's avatar
Shucai Xiao committed
4086
4087
4088
TEST_CASE(prelu_brcst_test)
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
4089
4090
4091
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("0", migraphx::shape{migraphx::shape::float_type, {2, 3, 4, 5}});
    auto l1  = mm->add_parameter("1", migraphx::shape{migraphx::shape::float_type, {4, 5}});
4092
    auto bl1 = mm->add_instruction(
4093
        migraphx::make_op("multibroadcast", {{"out_lens", l0->get_shape().lens()}}), l1);
4094
    auto ret = mm->add_instruction(migraphx::make_op("prelu"), l0, bl1);
Shucai Xiao's avatar
Shucai Xiao committed
4095
    mm->add_return({ret});
Shucai Xiao's avatar
Shucai Xiao committed
4096
4097
4098
4099
4100
4101

    auto prog = migraphx::parse_onnx("prelu_brcst_test.onnx");

    EXPECT(p == prog);
}

4102
4103
4104
TEST_CASE(quantizelinear_test)
{
    migraphx::program p;
turneram's avatar
turneram committed
4105
4106
4107
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("0", {migraphx::shape::float_type, {5}});
    auto l1  = mm->add_parameter("1", {migraphx::shape::float_type, {1}});
4108
    auto l1_mbcast =
4109
        mm->add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", {5}}}), l1);
turneram's avatar
turneram committed
4110
4111
4112
4113
4114
4115
4116
4117
4118
4119
4120
4121
    auto div   = mm->add_instruction(migraphx::make_op("div"), l0, l1_mbcast);
    auto round = mm->add_instruction(migraphx::make_op("round"), div);
    auto s     = round->get_shape();
    std::vector<int> min_data(s.elements(), 0);
    std::vector<int> max_data(s.elements(), 255);
    auto min_arg = mm->add_literal(s, min_data);
    auto max_arg = mm->add_literal(s, max_data);
    auto clip    = mm->add_instruction(migraphx::make_op("clip"), round, min_arg, max_arg);
    mm->add_instruction(
        migraphx::make_op("convert",
                          {{"target_type", migraphx::to_value(migraphx::shape::uint8_type)}}),
        clip);
4122

turneram's avatar
turneram committed
4123
4124
4125
    auto prog = optimize_onnx("quantizelinear_test.onnx", true);
    EXPECT(p.sort() == prog.sort());
}
4126

turneram's avatar
turneram committed
4127
4128
4129
4130
4131
4132
4133
TEST_CASE(quantizelinear_int32_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("0", {migraphx::shape::int32_type, {5}});
    auto l1  = mm->add_parameter("1", {migraphx::shape::float_type, {1}});
    auto l1_mbcast =
4134
        mm->add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", {5}}}), l1);
turneram's avatar
turneram committed
4135
4136
4137
4138
    l0 = mm->add_instruction(
        migraphx::make_op("convert",
                          {{"target_type", migraphx::to_value(migraphx::shape::float_type)}}),
        l0);
4139
4140
    auto div   = mm->add_instruction(migraphx::make_op("div"), l0, l1_mbcast);
    auto round = mm->add_instruction(migraphx::make_op("round"), div);
turneram's avatar
turneram committed
4141
4142
4143
4144
4145
4146
4147
    auto s     = round->get_shape();
    std::vector<int> min_data(s.elements(), 0);
    std::vector<int> max_data(s.elements(), 255);
    auto min_arg = mm->add_literal(s, min_data);
    auto max_arg = mm->add_literal(s, max_data);
    auto clip    = mm->add_instruction(migraphx::make_op("clip"), round, min_arg, max_arg);
    mm->add_instruction(
4148
        migraphx::make_op("convert",
turneram's avatar
turneram committed
4149
4150
4151
4152
4153
4154
4155
4156
4157
4158
4159
4160
4161
4162
4163
                          {{"target_type", migraphx::to_value(migraphx::shape::uint8_type)}}),
        clip);

    auto prog = optimize_onnx("quantizelinear_int32_test.onnx", true);
    EXPECT(p.sort() == prog.sort());
}

TEST_CASE(quantizelinear_zero_point_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("0", {migraphx::shape::float_type, {5}});
    auto l1  = mm->add_parameter("1", {migraphx::shape::float_type, {1}});
    auto l2  = mm->add_parameter("2", {migraphx::shape::int8_type, {1}});
    auto l1_mbcast =
4164
        mm->add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", {5}}}), l1);
turneram's avatar
turneram committed
4165
4166
    auto div   = mm->add_instruction(migraphx::make_op("div"), l0, l1_mbcast);
    auto round = mm->add_instruction(migraphx::make_op("round"), div);
4167
    auto l2_mbcast =
4168
        mm->add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", {5}}}), l2);
turneram's avatar
turneram committed
4169
    l2_mbcast = mm->add_instruction(
4170
        migraphx::make_op("convert",
turneram's avatar
turneram committed
4171
4172
                          {{"target_type", migraphx::to_value(migraphx::shape::float_type)}}),
        l2_mbcast);
Shucai Xiao's avatar
Shucai Xiao committed
4173
    auto add = mm->add_instruction(migraphx::make_op("add"), round, l2_mbcast);
turneram's avatar
turneram committed
4174
4175
4176
4177
4178
4179
    auto s   = round->get_shape();
    std::vector<int> min_data(s.elements(), -128);
    std::vector<int> max_data(s.elements(), 127);
    auto min_arg = mm->add_literal(s, min_data);
    auto max_arg = mm->add_literal(s, max_data);
    auto clip    = mm->add_instruction(migraphx::make_op("clip"), add, min_arg, max_arg);
4180
4181
4182
4183
4184
    mm->add_instruction(
        migraphx::make_op("convert",
                          {{"target_type", migraphx::to_value(migraphx::shape::int8_type)}}),
        clip);

turneram's avatar
turneram committed
4185
    auto prog = optimize_onnx("quantizelinear_zero_point_test.onnx", true);
4186
4187
4188
4189
4190
4191
4192
4193
4194
4195
    EXPECT(p.sort() == prog.sort());
}

migraphx::program make_quantizelinear_axis_prog()
{
    migraphx::program p;
    std::vector<size_t> input_lens{1, 1, 5, 1};
    int axis = 2;
    auto* mm = p.get_main_module();

turneram's avatar
turneram committed
4196
4197
4198
    auto l0       = mm->add_parameter("0", {migraphx::shape::float_type, input_lens});
    auto l1       = mm->add_parameter("1", {migraphx::shape::float_type, {5}});
    auto l2       = mm->add_parameter("2", {migraphx::shape::int8_type, {5}});
4199
    auto l1_bcast = mm->add_instruction(
4200
        migraphx::make_op("broadcast", {{"axis", axis}, {"out_lens", input_lens}}), l1);
4201
4202
4203
4204

    auto div      = mm->add_instruction(migraphx::make_op("div"), l0, l1_bcast);
    auto round    = mm->add_instruction(migraphx::make_op("round"), div);
    auto l2_bcast = mm->add_instruction(
4205
        migraphx::make_op("broadcast", {{"axis", axis}, {"out_lens", input_lens}}), l2);
4206
4207
    l2_bcast = mm->add_instruction(
        migraphx::make_op("convert",
turneram's avatar
turneram committed
4208
                          {{"target_type", migraphx::to_value(migraphx::shape::float_type)}}),
4209
        l2_bcast);
Shucai Xiao's avatar
Shucai Xiao committed
4210
    auto add = mm->add_instruction(migraphx::make_op("add"), round, l2_bcast);
turneram's avatar
turneram committed
4211
4212
4213
4214
4215
4216
    auto s   = round->get_shape();
    std::vector<int> min_data(s.elements(), -128);
    std::vector<int> max_data(s.elements(), 127);
    auto min_arg = mm->add_literal(s, min_data);
    auto max_arg = mm->add_literal(s, max_data);
    auto clip    = mm->add_instruction(migraphx::make_op("clip"), add, min_arg, max_arg);
4217
4218
4219
4220
4221
4222
4223
4224
4225
4226
4227
    mm->add_instruction(
        migraphx::make_op("convert",
                          {{"target_type", migraphx::to_value(migraphx::shape::int8_type)}}),
        clip);
    return p;
}

TEST_CASE(quantizelinear_axis_test)
{
    migraphx::program p = make_quantizelinear_axis_prog();

turneram's avatar
turneram committed
4228
    auto prog = optimize_onnx("quantizelinear_axis_test.onnx", true);
4229
4230
4231
4232
4233
4234
4235
    EXPECT(p.sort() == prog.sort());
}

TEST_CASE(quantizelinear_neg_axis_test)
{
    migraphx::program p = make_quantizelinear_axis_prog();

turneram's avatar
turneram committed
4236
    auto prog = optimize_onnx("quantizelinear_neg_axis_test.onnx", true);
4237
4238
4239
    EXPECT(p.sort() == prog.sort());
}

4240
4241
4242
4243
4244
4245
4246
4247
4248
4249
4250
4251
4252
4253
4254
4255
4256
4257
4258
4259
4260
4261
4262
4263
4264
4265
4266
4267
TEST_CASE(randomnormal_test)
{
    float mean  = 10.0;
    float scale = 1.5;
    float seed  = 0.0;
    std::vector<int> shape_attr{2, 3, 4};

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

    migraphx::shape s{migraphx::shape::double_type, shape_attr};
    std::vector<double> rand_vals(s.elements());
    std::mt19937 gen(seed);
    std::normal_distribution<> d(mean, scale);
    std::generate(rand_vals.begin(), rand_vals.end(), [&]() { return d(gen); });

    mm->add_literal(migraphx::literal{s, rand_vals});

    auto prog = optimize_onnx("randomnormal_test.onnx");

    EXPECT(p == prog);
}

TEST_CASE(randomnormal_dtype_error_test)
{
    EXPECT(test::throws([&] { migraphx::parse_onnx("randomnormal_dtype_error_test.onnx"); }));
}

4268
4269
4270
4271
4272
4273
4274
4275
TEST_CASE(randomnormal_generated_seed_test)
{
    auto p1 = optimize_onnx("randomnormal_generated_seed_test.onnx");
    auto p2 = optimize_onnx("randomnormal_generated_seed_test.onnx");

    EXPECT(p1 != p2);
}

4276
4277
4278
4279
4280
4281
4282
4283
4284
4285
4286
4287
4288
4289
4290
4291
4292
4293
4294
4295
4296
4297
4298
4299
4300
4301
4302
4303
4304
4305
4306
4307
4308
4309
4310
4311
4312
4313
4314
4315
4316
4317
4318
4319
4320
4321
4322
4323
4324
4325
4326
4327
4328
4329
4330
4331
4332
4333
4334
4335
4336
4337
TEST_CASE(randomnormal_shape_error_test)
{
    EXPECT(test::throws([&] { migraphx::parse_onnx("randomnormal_shape_error_test.onnx"); }));
}

TEST_CASE(randomnormallike_test)
{
    float mean  = 10.0;
    float scale = 1.5;
    float seed  = 0.0;
    std::vector<int> shape_attr{2, 3, 4};

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

    migraphx::shape s{migraphx::shape::half_type, shape_attr};
    std::vector<double> rand_vals(s.elements());
    std::mt19937 gen(seed);
    std::normal_distribution<> d(mean, scale);
    std::generate(rand_vals.begin(), rand_vals.end(), [&]() { return d(gen); });

    mm->add_parameter("input", s);
    mm->add_literal(migraphx::literal{s, rand_vals});

    auto prog = optimize_onnx("randomnormallike_test.onnx");

    EXPECT(p == prog);
}

TEST_CASE(randomnormallike_type_error_test)
{
    EXPECT(test::throws([&] { migraphx::parse_onnx("randomnormallike_type_error_test.onnx"); }));
}

TEST_CASE(randomuniform_test)
{
    float high = 1.0;
    float low  = 0.0;
    float seed = 0.0;
    std::vector<int> shape_attr{2, 3, 4};

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

    migraphx::shape s{migraphx::shape::double_type, shape_attr};
    std::vector<double> rand_vals(s.elements());
    std::mt19937 gen(seed);
    std::uniform_real_distribution<> d(low, high);
    std::generate(rand_vals.begin(), rand_vals.end(), [&]() { return d(gen); });

    mm->add_literal(migraphx::literal{s, rand_vals});

    auto prog = optimize_onnx("randomuniform_test.onnx");

    EXPECT(p == prog);
}

TEST_CASE(randomuniform_dtype_error_test)
{
    EXPECT(test::throws([&] { migraphx::parse_onnx("randomuniform_dtype_error_test.onnx"); }));
}

4338
4339
4340
4341
4342
4343
4344
4345
TEST_CASE(randomuniform_generated_seed_test)
{
    auto p1 = optimize_onnx("randomuniform_generated_seed_test.onnx");
    auto p2 = optimize_onnx("randomuniform_generated_seed_test.onnx");

    EXPECT(p1 != p2);
}

4346
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
TEST_CASE(randomuniform_shape_error_test)
{
    EXPECT(test::throws([&] { migraphx::parse_onnx("randomuniform_shape_error_test.onnx"); }));
}

TEST_CASE(randomuniformlike_test)
{
    float high = 10.0;
    float low  = 1.0;
    float seed = 0.0;
    std::vector<int> shape_attr{2, 3, 4};

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

    migraphx::shape s{migraphx::shape::half_type, shape_attr};
    std::vector<double> rand_vals(s.elements());
    std::mt19937 gen(seed);
    std::uniform_real_distribution<> d(low, high);
    std::generate(rand_vals.begin(), rand_vals.end(), [&]() { return d(gen); });

    mm->add_parameter("input", s);
    mm->add_literal(migraphx::literal{s, rand_vals});

    auto prog = optimize_onnx("randomuniformlike_test.onnx");

    EXPECT(p == prog);
}

TEST_CASE(randomuniformlike_type_error_test)
{
    EXPECT(test::throws([&] { migraphx::parse_onnx("randomuniformlike_type_error_test.onnx"); }));
}

kahmed10's avatar
kahmed10 committed
4380
4381
4382
TEST_CASE(range_test)
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
4383
4384
4385
4386
4387
    auto* mm = p.get_main_module();
    mm->add_literal(int64_t{10});
    mm->add_literal(int64_t{6});
    mm->add_literal(int64_t{-3});
    mm->add_literal(migraphx::literal{{migraphx::shape::int64_type, {2}}, {10, 7}});
kahmed10's avatar
kahmed10 committed
4388
4389
4390
4391
4392
4393
4394
4395
4396

    auto prog = optimize_onnx("range_test.onnx");

    EXPECT(p == prog);
}

TEST_CASE(range_float_test)
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
4397
4398
4399
4400
4401
    auto* mm = p.get_main_module();
    mm->add_literal(float{2});
    mm->add_literal(float{11});
    mm->add_literal(float{2});
    mm->add_literal(migraphx::literal{{migraphx::shape::float_type, {5}}, {2, 4, 6, 8, 10}});
kahmed10's avatar
kahmed10 committed
4402
4403
4404
4405
4406
4407

    auto prog = optimize_onnx("range_float_test.onnx");

    EXPECT(p == prog);
}

kahmed10's avatar
kahmed10 committed
4408
4409
4410
TEST_CASE(recip_test)
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
4411
4412
    auto* mm   = p.get_main_module();
    auto input = mm->add_parameter("x", migraphx::shape{migraphx::shape::float_type, {3}});
4413
    mm->add_instruction(migraphx::make_op("recip"), input);
kahmed10's avatar
kahmed10 committed
4414
4415
4416
4417
4418
4419

    auto prog = optimize_onnx("recip_test.onnx");

    EXPECT(p == prog);
}

Shucai Xiao's avatar
Shucai Xiao committed
4420
4421
4422
TEST_CASE(reducel1_test)
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
4423
4424
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("x", migraphx::shape{migraphx::shape::float_type, {3, 4, 5, 6}});
4425
4426
4427
    auto abs_l0 = mm->add_instruction(migraphx::make_op("abs"), l0);
    auto sum_l0 = mm->add_instruction(migraphx::make_op("reduce_sum", {{"axes", {-2}}}), abs_l0);
    mm->add_instruction(migraphx::make_op("squeeze", {{"axes", {-2}}}), sum_l0);
Shucai Xiao's avatar
Shucai Xiao committed
4428
4429
4430
4431
4432
4433
4434
4435
    auto prog = optimize_onnx("reducel1_test.onnx");

    EXPECT(p == prog);
}

TEST_CASE(reducel2_test)
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
4436
4437
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("x", migraphx::shape{migraphx::shape::float_type, {3, 4, 5, 6}});
4438
4439
4440
4441
    auto square_l0 = mm->add_instruction(migraphx::make_op("mul"), l0, l0);
    auto sum_l0 = mm->add_instruction(migraphx::make_op("reduce_sum", {{"axes", {-1}}}), square_l0);
    auto squ_l0 = mm->add_instruction(migraphx::make_op("squeeze", {{"axes", {-1}}}), sum_l0);
    mm->add_instruction(migraphx::make_op("sqrt"), squ_l0);
Shucai Xiao's avatar
Shucai Xiao committed
4442
4443
4444
4445
4446
4447
4448
4449
    auto prog = optimize_onnx("reducel2_test.onnx");

    EXPECT(p == prog);
}

TEST_CASE(reduce_log_sum_test)
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
4450
4451
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("x", migraphx::shape{migraphx::shape::float_type, {3, 4, 5, 6}});
4452
4453
    auto sum_l0 = mm->add_instruction(migraphx::make_op("reduce_sum", {{"axes", {-3}}}), l0);
    mm->add_instruction(migraphx::make_op("log"), sum_l0);
Shucai Xiao's avatar
Shucai Xiao committed
4454
4455
4456
4457
4458
4459
4460
4461
    auto prog = optimize_onnx("reduce_log_sum_test.onnx");

    EXPECT(p == prog);
}

TEST_CASE(reduce_log_sum_exp_test)
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
4462
4463
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("x", migraphx::shape{migraphx::shape::float_type, {3, 4, 5, 6}});
4464
4465
4466
    auto exp_l0 = mm->add_instruction(migraphx::make_op("exp"), l0);
    auto sum_l0 = mm->add_instruction(migraphx::make_op("reduce_sum", {{"axes", {-4}}}), exp_l0);
    mm->add_instruction(migraphx::make_op("log"), sum_l0);
Shucai Xiao's avatar
Shucai Xiao committed
4467
4468
4469
4470
4471
    auto prog = optimize_onnx("reduce_log_sum_exp_test.onnx");

    EXPECT(p == prog);
}

Shucai Xiao's avatar
Shucai Xiao committed
4472
4473
4474
TEST_CASE(reducemax_test)
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
4475
4476
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("x", migraphx::shape{migraphx::shape::float_type, {3, 4, 5, 6}});
4477
    mm->add_instruction(migraphx::make_op("reduce_max", {{"axes", {2}}}), l0);
Shucai Xiao's avatar
Shucai Xiao committed
4478
    auto prog = optimize_onnx("reducemax_test.onnx");
Shucai Xiao's avatar
Shucai Xiao committed
4479
4480
4481
4482

    EXPECT(p == prog);
}

Khalique's avatar
Khalique committed
4483
TEST_CASE(reducemean_test)
4484
4485
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
4486
4487
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("x", migraphx::shape{migraphx::shape::float_type, {3, 4, 5, 6}});
4488
4489
    auto l1  = mm->add_instruction(migraphx::make_op("reduce_mean", {{"axes", {2, 3}}}), l0);
    mm->add_instruction(migraphx::make_op("squeeze", {{"axes", {2, 3}}}), l1);
Shucai Xiao's avatar
Shucai Xiao committed
4490
    auto prog = optimize_onnx("reducemean_test.onnx");
4491
4492
4493
4494

    EXPECT(p == prog);
}

Khalique's avatar
Khalique committed
4495
TEST_CASE(reducemean_keepdims_test)
4496
4497
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
4498
4499
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("x", migraphx::shape{migraphx::shape::float_type, {3, 4, 5, 6}});
4500
    mm->add_instruction(migraphx::make_op("reduce_mean", {{"axes", {2}}}), l0);
Shucai Xiao's avatar
Shucai Xiao committed
4501
    auto prog = optimize_onnx("reducemean_keepdims_test.onnx");
4502
4503
4504
4505

    EXPECT(p == prog);
}

Shucai Xiao's avatar
Shucai Xiao committed
4506
4507
4508
TEST_CASE(reducemin_test)
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
4509
4510
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("x", migraphx::shape{migraphx::shape::float_type, {3, 4, 5, 6}});
4511
4512
    auto l1  = mm->add_instruction(migraphx::make_op("reduce_min", {{"axes", {2, 3}}}), l0);
    mm->add_instruction(migraphx::make_op("squeeze", {{"axes", {2, 3}}}), l1);
Shucai Xiao's avatar
Shucai Xiao committed
4513
    auto prog = optimize_onnx("reducemin_test.onnx");
Shucai Xiao's avatar
Shucai Xiao committed
4514
4515
4516
4517

    EXPECT(p == prog);
}

Shucai Xiao's avatar
Shucai Xiao committed
4518
4519
4520
TEST_CASE(reduceprod_test)
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
4521
4522
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("x", migraphx::shape{migraphx::shape::float_type, {3, 4, 5, 6}});
4523
    mm->add_instruction(migraphx::make_op("reduce_prod", {{"axes", {2}}}), l0);
Shucai Xiao's avatar
Shucai Xiao committed
4524
4525
4526
4527
4528
    auto prog = optimize_onnx("reduceprod_test.onnx");

    EXPECT(p == prog);
}

Khalique's avatar
Khalique committed
4529
TEST_CASE(reducesum_test)
Khalique's avatar
Khalique committed
4530
4531
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
4532
4533
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("x", migraphx::shape{migraphx::shape::float_type, {3, 4, 5, 6}});
4534
4535
    auto l1  = mm->add_instruction(migraphx::make_op("reduce_sum", {{"axes", {2}}}), l0);
    mm->add_instruction(migraphx::make_op("squeeze", {{"axes", {2}}}), l1);
Shucai Xiao's avatar
Shucai Xiao committed
4536
    auto prog = optimize_onnx("reducesum_test.onnx");
4537
4538

    EXPECT(p == prog);
Khalique's avatar
Khalique committed
4539
4540
}

Shucai Xiao's avatar
Shucai Xiao committed
4541
4542
4543
4544
TEST_CASE(reducesum_empty_axes_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
4545
    mm->add_literal(migraphx::literal{migraphx::shape::int64_type});
Shucai Xiao's avatar
Shucai Xiao committed
4546
4547
4548
4549
4550
4551
4552
4553
4554
4555
4556
4557
4558
4559
    auto x  = mm->add_parameter("x", migraphx::shape{migraphx::shape::float_type, {3, 4, 5, 6}});
    auto l1 = mm->add_instruction(migraphx::make_op("reduce_sum", {{"axes", {0, 1, 2, 3}}}), x);
    auto r  = mm->add_instruction(migraphx::make_op("squeeze", {{"axes", {0, 1, 2, 3}}}), l1);
    mm->add_return({r});

    auto prog = migraphx::parse_onnx("reducesum_empty_axes_test.onnx");

    EXPECT(p == prog);
}

TEST_CASE(reducesum_noop_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
4560
    mm->add_literal(migraphx::literal{migraphx::shape::int64_type});
Shucai Xiao's avatar
Shucai Xiao committed
4561
4562
4563
4564
4565
4566
4567
    auto x = mm->add_parameter("x", migraphx::shape{migraphx::shape::float_type, {3, 4, 5, 6}});
    mm->add_return({x});
    auto prog = migraphx::parse_onnx("reducesum_noop_test.onnx");

    EXPECT(p == prog);
}

Khalique's avatar
Khalique committed
4568
TEST_CASE(reducesum_multiaxis_test)
Khalique's avatar
Khalique committed
4569
4570
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
4571
4572
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("x", migraphx::shape{migraphx::shape::float_type, {3, 4, 5, 6}});
4573
4574
    auto l1  = mm->add_instruction(migraphx::make_op("reduce_sum", {{"axes", {2, 3}}}), l0);
    mm->add_instruction(migraphx::make_op("squeeze", {{"axes", {2, 3}}}), l1);
Shucai Xiao's avatar
Shucai Xiao committed
4575
    auto prog = optimize_onnx("reducesum_multiaxis_test.onnx");
4576
4577

    EXPECT(p == prog);
Khalique's avatar
Khalique committed
4578
4579
}

Khalique's avatar
Khalique committed
4580
TEST_CASE(reducesum_keepdims_test)
Khalique's avatar
Khalique committed
4581
4582
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
4583
4584
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("x", migraphx::shape{migraphx::shape::float_type, {3, 4, 5, 6}});
4585
    mm->add_instruction(migraphx::make_op("reduce_sum", {{"axes", {2, 3}}}), l0);
Shucai Xiao's avatar
Shucai Xiao committed
4586
    auto prog = optimize_onnx("reducesum_keepdims_test.onnx");
4587
4588
4589
4590

    EXPECT(p == prog);
}

Shucai Xiao's avatar
Shucai Xiao committed
4591
4592
4593
TEST_CASE(reducesum_square_test)
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
4594
4595
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("x", migraphx::shape{migraphx::shape::float_type, {3, 4, 5, 6}});
4596
4597
4598
    auto squ_l0 = mm->add_instruction(migraphx::make_op("mul"), l0, l0);
    auto sum_l0 = mm->add_instruction(migraphx::make_op("reduce_sum", {{"axes", {-2}}}), squ_l0);
    mm->add_instruction(migraphx::make_op("squeeze", {{"axes", {-2}}}), sum_l0);
Shucai Xiao's avatar
Shucai Xiao committed
4599
4600
4601
4602
4603
    auto prog = optimize_onnx("reducesum_square_test.onnx");

    EXPECT(p == prog);
}

Khalique's avatar
Khalique committed
4604
TEST_CASE(reshape_test)
4605
{
Khalique's avatar
Khalique committed
4606
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
4607
    auto* mm = p.get_main_module();
Khalique's avatar
Khalique committed
4608
4609
    migraphx::op::reshape op;
    std::vector<int64_t> reshape_dims{3, 8};
Shucai Xiao's avatar
Shucai Xiao committed
4610
    mm->add_literal(
Khalique's avatar
Khalique committed
4611
        migraphx::literal{migraphx::shape{migraphx::shape::int64_type, {2}}, reshape_dims});
Shucai Xiao's avatar
Shucai Xiao committed
4612
    auto l0 = mm->add_parameter("0", migraphx::shape{migraphx::shape::float_type, {4, 2, 3}});
Khalique's avatar
Khalique committed
4613
    op.dims = reshape_dims;
Shucai Xiao's avatar
Shucai Xiao committed
4614
4615
    mm->add_instruction(op, l0);
    mm->add_instruction(op, l0);
Shucai Xiao's avatar
Shucai Xiao committed
4616
    auto prog = optimize_onnx("reshape_test.onnx");
4617
4618

    EXPECT(p == prog);
Khalique's avatar
Khalique committed
4619
4620
}

Khalique's avatar
Khalique committed
4621
TEST_CASE(reshape_non_standard_test)
4622
4623
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
4624
    auto* mm = p.get_main_module();
Khalique's avatar
Khalique committed
4625
4626
    migraphx::op::reshape op;
    migraphx::shape s{migraphx::shape::float_type, {2, 3, 4}};
4627
4628
4629
    auto x = mm->add_parameter("x", s);
    auto tran_x =
        mm->add_instruction(migraphx::make_op("transpose", {{"permutation", {0, 2, 1}}}), x);
4630
4631
    auto cont_x = mm->add_instruction(migraphx::make_op("contiguous"), tran_x);
    mm->add_instruction(migraphx::make_op("reshape", {{"dims", {4, 3, 2}}}), cont_x);
Shucai Xiao's avatar
Shucai Xiao committed
4632
    auto prog = optimize_onnx("reshape_non_standard_test.onnx");
4633
4634
4635
4636

    EXPECT(p == prog);
}

4637
TEST_CASE(resize_downsample_c_test)
Shucai Xiao's avatar
Shucai Xiao committed
4638
4639
{
    migraphx::program p;
4640
4641
    auto* mm = p.get_main_module();

Shucai Xiao's avatar
Shucai Xiao committed
4642
4643
    std::vector<float> ds = {1.0f, 1.0f, 0.6f, 0.6f};
    migraphx::shape ss{migraphx::shape::float_type, {4}};
4644
    mm->add_literal(migraphx::literal{ss, ds});
Shucai Xiao's avatar
Shucai Xiao committed
4645
4646

    migraphx::shape sx{migraphx::shape::float_type, {1, 1, 2, 4}};
4647
    auto inx = mm->add_parameter("X", sx);
Shucai Xiao's avatar
Shucai Xiao committed
4648

4649
    mm->add_instruction(migraphx::make_op("undefined"));
Shucai Xiao's avatar
Shucai Xiao committed
4650
4651

    migraphx::shape si{migraphx::shape::int32_type, {1, 1, 1, 2}};
4652
    std::vector<int> ind = {0, 2};
4653
    auto li              = mm->add_literal(migraphx::literal(si, ind));
Shucai Xiao's avatar
Shucai Xiao committed
4654

4655
4656
    auto lrsp = mm->add_instruction(migraphx::make_op("reshape", {{"dims", {8}}}), inx);
    auto r    = mm->add_instruction(migraphx::make_op("gather", {{"axis", 0}}), lrsp, li);
4657
    mm->add_return({r});
Shucai Xiao's avatar
Shucai Xiao committed
4658

4659
    auto prog = migraphx::parse_onnx("resize_downsample_c_test.onnx");
Shucai Xiao's avatar
Shucai Xiao committed
4660
4661
4662
4663

    EXPECT(p == prog);
}

4664
TEST_CASE(resize_downsample_f_test)
Shucai Xiao's avatar
Shucai Xiao committed
4665
4666
{
    migraphx::program p;
4667
    auto* mm              = p.get_main_module();
Shucai Xiao's avatar
Shucai Xiao committed
4668
4669
    std::vector<float> ds = {1.0f, 1.0f, 0.6f, 0.6f};
    migraphx::shape ss{migraphx::shape::float_type, {4}};
4670
    mm->add_literal(migraphx::literal{ss, ds});
Shucai Xiao's avatar
Shucai Xiao committed
4671
4672

    migraphx::shape sx{migraphx::shape::float_type, {1, 1, 2, 4}};
4673
    auto inx = mm->add_parameter("X", sx);
Shucai Xiao's avatar
Shucai Xiao committed
4674

4675
    mm->add_instruction(migraphx::make_op("undefined"));
Shucai Xiao's avatar
Shucai Xiao committed
4676
4677

    migraphx::shape si{migraphx::shape::int32_type, {1, 1, 1, 2}};
4678
    std::vector<int> ind = {0, 3};
4679
    auto li              = mm->add_literal(migraphx::literal(si, ind));
Shucai Xiao's avatar
Shucai Xiao committed
4680

4681
4682
    auto lrsp = mm->add_instruction(migraphx::make_op("reshape", {{"dims", {8}}}), inx);
    auto r    = mm->add_instruction(migraphx::make_op("gather", {{"axis", 0}}), lrsp, li);
4683
    mm->add_return({r});
Shucai Xiao's avatar
Shucai Xiao committed
4684

4685
4686
4687
4688
4689
4690
4691
4692
4693
4694
4695
4696
4697
4698
4699
4700
4701
4702
4703
4704
4705
4706
4707
4708
4709
4710
4711
4712
4713
4714
4715
    auto prog = migraphx::parse_onnx("resize_downsample_f_test.onnx");

    EXPECT(p == prog);
}

TEST_CASE(resize_downsample_linear_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    migraphx::shape ss{migraphx::shape::float_type, {4}};
    std::vector<float> ds = {1, 1, 0.6, 0.5};
    mm->add_literal(migraphx::literal(ss, ds));

    migraphx::shape sx{migraphx::shape::float_type, {1, 1, 2, 4}};
    auto x = mm->add_parameter("X", sx);
    migraphx::shape s_ind{migraphx::shape::int32_type, {16, 1, 1, 2}};
    std::vector<int> d_ind = {0, 2, 0, 2, 0, 2, 0, 2, 4, 6, 4, 6, 4, 6, 4, 6,
                              1, 3, 1, 3, 1, 3, 1, 3, 5, 7, 5, 7, 5, 7, 5, 7};
    auto l_ind             = mm->add_literal(migraphx::literal(s_ind, d_ind));

    migraphx::shape s8{migraphx::shape::float_type, {8, 1, 1, 2}};
    std::vector<float> d8(16, 0.5f);
    auto l8 = mm->add_literal(migraphx::literal(s8, d8));

    migraphx::shape s4{migraphx::shape::float_type, {4, 1, 1, 2}};
    std::vector<float> d4(8, 1.0f / 3.0f);
    auto l4 = mm->add_literal(migraphx::literal(s4, d4));

    migraphx::shape s2{migraphx::shape::float_type, {2, 1, 1, 2}};
    std::vector<float> d2(4, 0);
    auto l2 = mm->add_literal(migraphx::literal(s2, d2));
Shucai Xiao's avatar
Shucai Xiao committed
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
    migraphx::shape s1{migraphx::shape::float_type, {1, 1, 1, 2}};
    std::vector<float> d1(2, 0.0f);
    auto l1 = mm->add_literal(migraphx::literal(s1, d1));

    mm->add_instruction(migraphx::make_op("undefined"));
    auto rsp   = mm->add_instruction(migraphx::make_op("reshape", {{"dims", {8}}}), x);
    auto data  = mm->add_instruction(migraphx::make_op("gather", {{"axis", 0}}), rsp, l_ind);
    auto slc80 = mm->add_instruction(
        migraphx::make_op("slice", {{"axes", {0}}, {"starts", {0}}, {"ends", {8}}}), data);
    auto slc81 = mm->add_instruction(
        migraphx::make_op("slice", {{"axes", {0}}, {"starts", {8}}, {"ends", {16}}}), data);
    auto diff8 = mm->add_instruction(migraphx::make_op("sub"), slc81, slc80);
    auto mul8  = mm->add_instruction(migraphx::make_op("mul"), diff8, l8);
    auto add8  = mm->add_instruction(migraphx::make_op("add"), mul8, slc80);
    auto slc40 = mm->add_instruction(
        migraphx::make_op("slice", {{"axes", {0}}, {"starts", {0}}, {"ends", {4}}}), add8);
    auto slc41 = mm->add_instruction(
        migraphx::make_op("slice", {{"axes", {0}}, {"starts", {4}}, {"ends", {8}}}), add8);
    auto diff4 = mm->add_instruction(migraphx::make_op("sub"), slc41, slc40);
    auto mul4  = mm->add_instruction(migraphx::make_op("mul"), diff4, l4);
    auto add4  = mm->add_instruction(migraphx::make_op("add"), mul4, slc40);
    auto slc20 = mm->add_instruction(
        migraphx::make_op("slice", {{"axes", {0}}, {"starts", {0}}, {"ends", {2}}}), add4);
    auto slc21 = mm->add_instruction(
        migraphx::make_op("slice", {{"axes", {0}}, {"starts", {2}}, {"ends", {4}}}), add4);
    auto diff2 = mm->add_instruction(migraphx::make_op("sub"), slc21, slc20);
    auto mul2  = mm->add_instruction(migraphx::make_op("mul"), diff2, l2);
    auto add2  = mm->add_instruction(migraphx::make_op("add"), mul2, slc20);
    auto slc10 = mm->add_instruction(
        migraphx::make_op("slice", {{"axes", {0}}, {"starts", {0}}, {"ends", {1}}}), add2);
    auto slc11 = mm->add_instruction(
        migraphx::make_op("slice", {{"axes", {0}}, {"starts", {1}}, {"ends", {2}}}), add2);
    auto diff1 = mm->add_instruction(migraphx::make_op("sub"), slc11, slc10);
    auto mul1  = mm->add_instruction(migraphx::make_op("mul"), diff1, l1);
    auto add1  = mm->add_instruction(migraphx::make_op("add"), mul1, slc10);
    mm->add_return({add1});

    auto prog = migraphx::parse_onnx("resize_downsample_linear_test.onnx");
Shucai Xiao's avatar
Shucai Xiao committed
4755
4756
4757
4758
4759
4760
    EXPECT(p == prog);
}

TEST_CASE(resize_outsize_test)
{
    migraphx::program p;
4761
    auto* mm = p.get_main_module();
Shucai Xiao's avatar
Shucai Xiao committed
4762
4763
4764

    std::vector<int64_t> out_len = {1, 1, 4, 6};
    migraphx::shape so{migraphx::shape::int64_type, {4}};
4765
    mm->add_literal(migraphx::literal(so, out_len));
Shucai Xiao's avatar
Shucai Xiao committed
4766
4767

    migraphx::shape sx{migraphx::shape::float_type, {1, 1, 2, 2}};
4768
    auto inx = mm->add_parameter("X", sx);
Shucai Xiao's avatar
Shucai Xiao committed
4769

4770
    mm->add_instruction(migraphx::make_op("undefined"));
Shucai Xiao's avatar
Shucai Xiao committed
4771
4772
4773

    migraphx::shape si{migraphx::shape::int32_type, {1, 1, 4, 6}};
    std::vector<int> ind = {0, 0, 1, 1, 1, 1, 2, 2, 3, 3, 3, 3, 2, 2, 3, 3, 3, 3, 2, 2, 3, 3, 3, 3};
4774
    auto li              = mm->add_literal(migraphx::literal(si, ind));
Shucai Xiao's avatar
Shucai Xiao committed
4775

4776
4777
    auto lrsp = mm->add_instruction(migraphx::make_op("reshape", {{"dims", {4}}}), inx);
    auto r    = mm->add_instruction(migraphx::make_op("gather", {{"axis", 0}}), lrsp, li);
4778
    mm->add_return({r});
Shucai Xiao's avatar
Shucai Xiao committed
4779
4780
4781
4782
4783
4784

    auto prog = migraphx::parse_onnx("resize_outsize_test.onnx");

    EXPECT(p == prog);
}

4785
4786
4787
4788
4789
4790
4791
4792
4793
4794
4795
4796
4797
4798
4799
4800
TEST_CASE(resize_nonstd_input_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();

    std::vector<float> ds = {1.0f, 1.0f, 0.6f, 0.6f};
    migraphx::shape ss{migraphx::shape::float_type, {4}};
    mm->add_literal(migraphx::literal{ss, ds});

    migraphx::shape sx{migraphx::shape::float_type, {1, 1, 4, 2}};
    auto inx = mm->add_parameter("X", sx);

    migraphx::shape si{migraphx::shape::int32_type, {1, 1, 1, 2}};
    std::vector<int> ind = {0, 4};
    auto li              = mm->add_literal(migraphx::literal(si, ind));

4801
4802
    auto tx =
        mm->add_instruction(migraphx::make_op("transpose", {{"permutation", {0, 1, 3, 2}}}), inx);
4803
4804
4805
4806
4807
4808
4809
4810
4811
4812
4813
4814
    mm->add_instruction(migraphx::make_op("undefined"));
    auto tx_cont = mm->add_instruction(migraphx::make_op("contiguous"), tx);

    auto lrsp = mm->add_instruction(migraphx::make_op("reshape", {{"dims", {8}}}), tx_cont);
    auto r    = mm->add_instruction(migraphx::make_op("gather", {{"axis", 0}}), lrsp, li);
    mm->add_return({r});

    auto prog = migraphx::parse_onnx("resize_nonstd_input_test.onnx");

    EXPECT(p == prog);
}

Shucai Xiao's avatar
Shucai Xiao committed
4815
static auto create_upsample_linear_prog()
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
4882
4883
4884
4885
4886
4887
4888
4889
4890
4891
4892
4893
4894
4895
4896
4897
4898
4899
4900
4901
4902
4903
4904
4905
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    migraphx::shape ss{migraphx::shape::float_type, {4}};
    std::vector<float> ds = {1, 1, 2, 2};
    mm->add_literal(migraphx::literal(ss, ds));

    migraphx::shape sx{migraphx::shape::float_type, {1, 1, 2, 2}};
    auto x = mm->add_parameter("X", sx);
    migraphx::shape s_ind{migraphx::shape::int32_type, {16, 1, 4, 4}};
    std::vector<int> d_ind = {
        0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 2, 2, 3, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2,
        2, 2, 3, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 2, 2, 3, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0,
        0, 1, 2, 2, 2, 3, 0, 0, 0, 1, 2, 2, 2, 3, 2, 2, 2, 3, 2, 2, 2, 3, 0, 0, 0, 1, 2, 2, 2,
        3, 2, 2, 2, 3, 2, 2, 2, 3, 0, 0, 0, 1, 2, 2, 2, 3, 2, 2, 2, 3, 2, 2, 2, 3, 0, 0, 0, 1,
        2, 2, 2, 3, 2, 2, 2, 3, 2, 2, 2, 3, 0, 1, 1, 1, 0, 1, 1, 1, 0, 1, 1, 1, 2, 3, 3, 3, 0,
        1, 1, 1, 0, 1, 1, 1, 0, 1, 1, 1, 2, 3, 3, 3, 0, 1, 1, 1, 0, 1, 1, 1, 0, 1, 1, 1, 2, 3,
        3, 3, 0, 1, 1, 1, 0, 1, 1, 1, 0, 1, 1, 1, 2, 3, 3, 3, 0, 1, 1, 1, 2, 3, 3, 3, 2, 3, 3,
        3, 2, 3, 3, 3, 0, 1, 1, 1, 2, 3, 3, 3, 2, 3, 3, 3, 2, 3, 3, 3, 0, 1, 1, 1, 2, 3, 3, 3,
        2, 3, 3, 3, 2, 3, 3, 3, 0, 1, 1, 1, 2, 3, 3, 3, 2, 3, 3, 3, 2, 3, 3, 3};
    auto l_ind = mm->add_literal(migraphx::literal(s_ind, d_ind));

    migraphx::shape s8{migraphx::shape::float_type, {8, 1, 4, 4}};
    std::vector<float> d8 = {
        0, 1.0f / 3, 2.0f / 3, 0, 0, 1.0f / 3, 2.0f / 3, 0, 0, 1.0f / 3, 2.0f / 3, 0,
        0, 1.0f / 3, 2.0f / 3, 0, 0, 1.0f / 3, 2.0f / 3, 0, 0, 1.0f / 3, 2.0f / 3, 0,
        0, 1.0f / 3, 2.0f / 3, 0, 0, 1.0f / 3, 2.0f / 3, 0, 0, 1.0f / 3, 2.0f / 3, 0,
        0, 1.0f / 3, 2.0f / 3, 0, 0, 1.0f / 3, 2.0f / 3, 0, 0, 1.0f / 3, 2.0f / 3, 0,
        0, 1.0f / 3, 2.0f / 3, 0, 0, 1.0f / 3, 2.0f / 3, 0, 0, 1.0f / 3, 2.0f / 3, 0,
        0, 1.0f / 3, 2.0f / 3, 0, 0, 1.0f / 3, 2.0f / 3, 0, 0, 1.0f / 3, 2.0f / 3, 0,
        0, 1.0f / 3, 2.0f / 3, 0, 0, 1.0f / 3, 2.0f / 3, 0, 0, 1.0f / 3, 2.0f / 3, 0,
        0, 1.0f / 3, 2.0f / 3, 0, 0, 1.0f / 3, 2.0f / 3, 0, 0, 1.0f / 3, 2.0f / 3, 0,
        0, 1.0f / 3, 2.0f / 3, 0, 0, 1.0f / 3, 2.0f / 3, 0, 0, 1.0f / 3, 2.0f / 3, 0,
        0, 1.0f / 3, 2.0f / 3, 0, 0, 1.0f / 3, 2.0f / 3, 0, 0, 1.0f / 3, 2.0f / 3, 0,
        0, 1.0f / 3, 2.0f / 3, 0, 0, 1.0f / 3, 2.0f / 3, 0};
    auto l8 = mm->add_literal(migraphx::literal(s8, d8));

    migraphx::shape s4{migraphx::shape::float_type, {4, 1, 4, 4}};
    std::vector<float> d4 = {
        0,        0,        0,        0,        1.0f / 3, 1.0f / 3, 1.0f / 3, 1.0f / 3,
        2.0f / 3, 2.0f / 3, 2.0f / 3, 2.0f / 3, 0,        0,        0,        0,
        0,        0,        0,        0,        1.0f / 3, 1.0f / 3, 1.0f / 3, 1.0f / 3,
        2.0f / 3, 2.0f / 3, 2.0f / 3, 2.0f / 3, 0,        0,        0,        0,
        0,        0,        0,        0,        1.0f / 3, 1.0f / 3, 1.0f / 3, 1.0f / 3,
        2.0f / 3, 2.0f / 3, 2.0f / 3, 2.0f / 3, 0,        0,        0,        0,
        0,        0,        0,        0,        1.0f / 3, 1.0f / 3, 1.0f / 3, 1.0f / 3,
        2.0f / 3, 2.0f / 3, 2.0f / 3, 2.0f / 3, 0,        0,        0,        0};
    auto l4 = mm->add_literal(migraphx::literal(s4, d4));

    migraphx::shape s2{migraphx::shape::float_type, {2, 1, 4, 4}};
    std::vector<float> d2(32, 0);
    auto l2 = mm->add_literal(migraphx::literal(s2, d2));

    migraphx::shape s1{migraphx::shape::float_type, {1, 1, 4, 4}};
    std::vector<float> d1(16, 0.0f);
    auto l1 = mm->add_literal(migraphx::literal(s1, d1));

    mm->add_instruction(migraphx::make_op("undefined"));
    auto rsp   = mm->add_instruction(migraphx::make_op("reshape", {{"dims", {4}}}), x);
    auto data  = mm->add_instruction(migraphx::make_op("gather", {{"axis", 0}}), rsp, l_ind);
    auto slc80 = mm->add_instruction(
        migraphx::make_op("slice", {{"axes", {0}}, {"starts", {0}}, {"ends", {8}}}), data);
    auto slc81 = mm->add_instruction(
        migraphx::make_op("slice", {{"axes", {0}}, {"starts", {8}}, {"ends", {16}}}), data);
    auto diff8 = mm->add_instruction(migraphx::make_op("sub"), slc81, slc80);
    auto mul8  = mm->add_instruction(migraphx::make_op("mul"), diff8, l8);
    auto add8  = mm->add_instruction(migraphx::make_op("add"), mul8, slc80);
    auto slc40 = mm->add_instruction(
        migraphx::make_op("slice", {{"axes", {0}}, {"starts", {0}}, {"ends", {4}}}), add8);
    auto slc41 = mm->add_instruction(
        migraphx::make_op("slice", {{"axes", {0}}, {"starts", {4}}, {"ends", {8}}}), add8);
    auto diff4 = mm->add_instruction(migraphx::make_op("sub"), slc41, slc40);
    auto mul4  = mm->add_instruction(migraphx::make_op("mul"), diff4, l4);
    auto add4  = mm->add_instruction(migraphx::make_op("add"), mul4, slc40);
    auto slc20 = mm->add_instruction(
        migraphx::make_op("slice", {{"axes", {0}}, {"starts", {0}}, {"ends", {2}}}), add4);
    auto slc21 = mm->add_instruction(
        migraphx::make_op("slice", {{"axes", {0}}, {"starts", {2}}, {"ends", {4}}}), add4);
    auto diff2 = mm->add_instruction(migraphx::make_op("sub"), slc21, slc20);
    auto mul2  = mm->add_instruction(migraphx::make_op("mul"), diff2, l2);
    auto add2  = mm->add_instruction(migraphx::make_op("add"), mul2, slc20);
    auto slc10 = mm->add_instruction(
        migraphx::make_op("slice", {{"axes", {0}}, {"starts", {0}}, {"ends", {1}}}), add2);
    auto slc11 = mm->add_instruction(
        migraphx::make_op("slice", {{"axes", {0}}, {"starts", {1}}, {"ends", {2}}}), add2);
    auto diff1 = mm->add_instruction(migraphx::make_op("sub"), slc11, slc10);
    auto mul1  = mm->add_instruction(migraphx::make_op("mul"), diff1, l1);
    auto add1  = mm->add_instruction(migraphx::make_op("add"), mul1, slc10);
    mm->add_return({add1});

Shucai Xiao's avatar
Shucai Xiao committed
4906
4907
4908
4909
4910
4911
    return p;
}

TEST_CASE(resize_upsample_linear_ac_test)
{
    auto p    = create_upsample_linear_prog();
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
    auto prog = migraphx::parse_onnx("resize_upsample_linear_ac_test.onnx");
    EXPECT(p == prog);
}

TEST_CASE(resize_upsample_linear_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    migraphx::shape ss{migraphx::shape::float_type, {4}};
    std::vector<float> ds = {1, 1, 2, 2};
    mm->add_literal(migraphx::literal(ss, ds));

    migraphx::shape sx{migraphx::shape::float_type, {1, 1, 2, 2}};
    auto x = mm->add_parameter("X", sx);
    migraphx::shape s_ind{migraphx::shape::int32_type, {16, 1, 4, 4}};
    std::vector<int> d_ind = {
        0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 2, 2, 3, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2,
        2, 2, 3, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 2, 2, 2, 3, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0,
        0, 1, 2, 2, 2, 3, 0, 0, 0, 1, 2, 2, 2, 3, 2, 2, 2, 3, 2, 2, 2, 3, 0, 0, 0, 1, 2, 2, 2,
        3, 2, 2, 2, 3, 2, 2, 2, 3, 0, 0, 0, 1, 2, 2, 2, 3, 2, 2, 2, 3, 2, 2, 2, 3, 0, 0, 0, 1,
        2, 2, 2, 3, 2, 2, 2, 3, 2, 2, 2, 3, 0, 1, 1, 1, 0, 1, 1, 1, 0, 1, 1, 1, 2, 3, 3, 3, 0,
        1, 1, 1, 0, 1, 1, 1, 0, 1, 1, 1, 2, 3, 3, 3, 0, 1, 1, 1, 0, 1, 1, 1, 0, 1, 1, 1, 2, 3,
        3, 3, 0, 1, 1, 1, 0, 1, 1, 1, 0, 1, 1, 1, 2, 3, 3, 3, 0, 1, 1, 1, 2, 3, 3, 3, 2, 3, 3,
        3, 2, 3, 3, 3, 0, 1, 1, 1, 2, 3, 3, 3, 2, 3, 3, 3, 2, 3, 3, 3, 0, 1, 1, 1, 2, 3, 3, 3,
        2, 3, 3, 3, 2, 3, 3, 3, 0, 1, 1, 1, 2, 3, 3, 3, 2, 3, 3, 3, 2, 3, 3, 3};
    auto l_ind = mm->add_literal(migraphx::literal(s_ind, d_ind));

    migraphx::shape s8{migraphx::shape::float_type, {8, 1, 4, 4}};
    std::vector<float> d8 = {
        0, 1.0f / 3, 2.0f / 3, 0, 0, 1.0f / 3, 2.0f / 3, 0, 0, 1.0f / 3, 2.0f / 3, 0,
        0, 1.0f / 3, 2.0f / 3, 0, 0, 1.0f / 3, 2.0f / 3, 0, 0, 1.0f / 3, 2.0f / 3, 0,
        0, 1.0f / 3, 2.0f / 3, 0, 0, 1.0f / 3, 2.0f / 3, 0, 0, 1.0f / 3, 2.0f / 3, 0,
        0, 1.0f / 3, 2.0f / 3, 0, 0, 1.0f / 3, 2.0f / 3, 0, 0, 1.0f / 3, 2.0f / 3, 0,
        0, 1.0f / 3, 2.0f / 3, 0, 0, 1.0f / 3, 2.0f / 3, 0, 0, 1.0f / 3, 2.0f / 3, 0,
        0, 1.0f / 3, 2.0f / 3, 0, 0, 1.0f / 3, 2.0f / 3, 0, 0, 1.0f / 3, 2.0f / 3, 0,
        0, 1.0f / 3, 2.0f / 3, 0, 0, 1.0f / 3, 2.0f / 3, 0, 0, 1.0f / 3, 2.0f / 3, 0,
        0, 1.0f / 3, 2.0f / 3, 0, 0, 1.0f / 3, 2.0f / 3, 0, 0, 1.0f / 3, 2.0f / 3, 0,
        0, 1.0f / 3, 2.0f / 3, 0, 0, 1.0f / 3, 2.0f / 3, 0, 0, 1.0f / 3, 2.0f / 3, 0,
        0, 1.0f / 3, 2.0f / 3, 0, 0, 1.0f / 3, 2.0f / 3, 0, 0, 1.0f / 3, 2.0f / 3, 0,
        0, 1.0f / 3, 2.0f / 3, 0, 0, 1.0f / 3, 2.0f / 3, 0};
    auto l8 = mm->add_literal(migraphx::literal(s8, d8));

    migraphx::shape s4{migraphx::shape::float_type, {4, 1, 4, 4}};
    std::vector<float> d4 = {
        0,        0,        0,        0,        1.0f / 3, 1.0f / 3, 1.0f / 3, 1.0f / 3,
        2.0f / 3, 2.0f / 3, 2.0f / 3, 2.0f / 3, 0,        0,        0,        0,
        0,        0,        0,        0,        1.0f / 3, 1.0f / 3, 1.0f / 3, 1.0f / 3,
        2.0f / 3, 2.0f / 3, 2.0f / 3, 2.0f / 3, 0,        0,        0,        0,
        0,        0,        0,        0,        1.0f / 3, 1.0f / 3, 1.0f / 3, 1.0f / 3,
        2.0f / 3, 2.0f / 3, 2.0f / 3, 2.0f / 3, 0,        0,        0,        0,
        0,        0,        0,        0,        1.0f / 3, 1.0f / 3, 1.0f / 3, 1.0f / 3,
        2.0f / 3, 2.0f / 3, 2.0f / 3, 2.0f / 3, 0,        0,        0,        0};
    auto l4 = mm->add_literal(migraphx::literal(s4, d4));

    migraphx::shape s2{migraphx::shape::float_type, {2, 1, 4, 4}};
    std::vector<float> d2(32, 0);
    auto l2 = mm->add_literal(migraphx::literal(s2, d2));

    migraphx::shape s1{migraphx::shape::float_type, {1, 1, 4, 4}};
    std::vector<float> d1(16, 0.0f);
    auto l1 = mm->add_literal(migraphx::literal(s1, d1));

    mm->add_instruction(migraphx::make_op("undefined"));
    auto rsp   = mm->add_instruction(migraphx::make_op("reshape", {{"dims", {4}}}), x);
    auto data  = mm->add_instruction(migraphx::make_op("gather", {{"axis", 0}}), rsp, l_ind);
    auto slc80 = mm->add_instruction(
        migraphx::make_op("slice", {{"axes", {0}}, {"starts", {0}}, {"ends", {8}}}), data);
    auto slc81 = mm->add_instruction(
        migraphx::make_op("slice", {{"axes", {0}}, {"starts", {8}}, {"ends", {16}}}), data);
    auto diff8 = mm->add_instruction(migraphx::make_op("sub"), slc81, slc80);
    auto mul8  = mm->add_instruction(migraphx::make_op("mul"), diff8, l8);
    auto add8  = mm->add_instruction(migraphx::make_op("add"), mul8, slc80);
    auto slc40 = mm->add_instruction(
        migraphx::make_op("slice", {{"axes", {0}}, {"starts", {0}}, {"ends", {4}}}), add8);
    auto slc41 = mm->add_instruction(
        migraphx::make_op("slice", {{"axes", {0}}, {"starts", {4}}, {"ends", {8}}}), add8);
    auto diff4 = mm->add_instruction(migraphx::make_op("sub"), slc41, slc40);
    auto mul4  = mm->add_instruction(migraphx::make_op("mul"), diff4, l4);
    auto add4  = mm->add_instruction(migraphx::make_op("add"), mul4, slc40);
    auto slc20 = mm->add_instruction(
        migraphx::make_op("slice", {{"axes", {0}}, {"starts", {0}}, {"ends", {2}}}), add4);
    auto slc21 = mm->add_instruction(
        migraphx::make_op("slice", {{"axes", {0}}, {"starts", {2}}, {"ends", {4}}}), add4);
    auto diff2 = mm->add_instruction(migraphx::make_op("sub"), slc21, slc20);
    auto mul2  = mm->add_instruction(migraphx::make_op("mul"), diff2, l2);
    auto add2  = mm->add_instruction(migraphx::make_op("add"), mul2, slc20);
    auto slc10 = mm->add_instruction(
        migraphx::make_op("slice", {{"axes", {0}}, {"starts", {0}}, {"ends", {1}}}), add2);
    auto slc11 = mm->add_instruction(
        migraphx::make_op("slice", {{"axes", {0}}, {"starts", {1}}, {"ends", {2}}}), add2);
    auto diff1 = mm->add_instruction(migraphx::make_op("sub"), slc11, slc10);
    auto mul1  = mm->add_instruction(migraphx::make_op("mul"), diff1, l1);
    auto add1  = mm->add_instruction(migraphx::make_op("add"), mul1, slc10);
    mm->add_return({add1});

    auto prog = migraphx::parse_onnx("resize_upsample_linear_test.onnx");
    EXPECT(p == prog);
}

Shucai Xiao's avatar
Shucai Xiao committed
5011
5012
5013
TEST_CASE(resize_upsample_pc_test)
{
    migraphx::program p;
5014
    auto* mm = p.get_main_module();
Shucai Xiao's avatar
Shucai Xiao committed
5015
5016
5017

    std::vector<float> ds = {1.0f, 1.0f, 2.0f, 1.5f};
    migraphx::shape ss{migraphx::shape::float_type, {4}};
5018
    mm->add_literal(migraphx::literal{ss, ds});
Shucai Xiao's avatar
Shucai Xiao committed
5019
5020

    migraphx::shape sx{migraphx::shape::float_type, {1, 1, 2, 4}};
5021
    auto inx = mm->add_parameter("X", sx);
Shucai Xiao's avatar
Shucai Xiao committed
5022

5023
    mm->add_instruction(migraphx::make_op("undefined"));
Shucai Xiao's avatar
Shucai Xiao committed
5024
5025
5026

    migraphx::shape si{migraphx::shape::int32_type, {1, 1, 4, 6}};
    std::vector<int> ind = {0, 1, 1, 2, 3, 3, 0, 1, 1, 2, 3, 3, 4, 5, 5, 6, 7, 7, 4, 5, 5, 6, 7, 7};
5027
    auto li              = mm->add_literal(migraphx::literal(si, ind));
Shucai Xiao's avatar
Shucai Xiao committed
5028

5029
5030
    auto lrsp = mm->add_instruction(migraphx::make_op("reshape", {{"dims", {8}}}), inx);
    auto r    = mm->add_instruction(migraphx::make_op("gather", {{"axis", 0}}), lrsp, li);
5031
    mm->add_return({r});
Shucai Xiao's avatar
Shucai Xiao committed
5032
5033
5034
5035
5036
5037
5038
5039
5040

    auto prog = migraphx::parse_onnx("resize_upsample_pc_test.onnx");

    EXPECT(p == prog);
}

TEST_CASE(resize_upsample_pf_test)
{
    migraphx::program p;
5041
    auto* mm = p.get_main_module();
Shucai Xiao's avatar
Shucai Xiao committed
5042
5043
5044

    std::vector<float> ds = {1.0f, 1.0f, 2.0f, 3.0f};
    migraphx::shape ss{migraphx::shape::float_type, {4}};
5045
    mm->add_literal(migraphx::literal{ss, ds});
Shucai Xiao's avatar
Shucai Xiao committed
5046
5047

    migraphx::shape sx{migraphx::shape::float_type, {1, 1, 2, 2}};
5048
    auto inx = mm->add_parameter("X", sx);
Shucai Xiao's avatar
Shucai Xiao committed
5049

5050
    mm->add_instruction(migraphx::make_op("undefined"));
Shucai Xiao's avatar
Shucai Xiao committed
5051
5052
5053

    migraphx::shape si{migraphx::shape::int32_type, {1, 1, 4, 6}};
    std::vector<int> ind = {0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 1, 2, 2, 2, 3, 3, 3, 2, 2, 2, 3, 3, 3};
5054
    auto li              = mm->add_literal(migraphx::literal(si, ind));
Shucai Xiao's avatar
Shucai Xiao committed
5055

5056
5057
    auto lrsp = mm->add_instruction(migraphx::make_op("reshape", {{"dims", {4}}}), inx);
    auto r    = mm->add_instruction(migraphx::make_op("gather", {{"axis", 0}}), lrsp, li);
5058
    mm->add_return({r});
Shucai Xiao's avatar
Shucai Xiao committed
5059
5060
5061
5062
5063
5064

    auto prog = migraphx::parse_onnx("resize_upsample_pf_test.onnx");

    EXPECT(p == prog);
}

Charlie Lin's avatar
Charlie Lin committed
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
TEST_CASE(reversesequence_batch_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();

    int batch_axis = 0;
    int time_axis  = 1;

    migraphx::shape sx{migraphx::shape::float_type, {4, 4}};
    auto input = mm->add_parameter("x", sx);

    std::vector<int64_t> sequence_lens = {1, 2, 3, 4};
    mm->add_literal({{migraphx::shape::int64_type, {4}}, sequence_lens});

    int batch_size = sx.lens()[batch_axis];
    int time_size  = sx.lens()[time_axis];

    auto add_slice =
        [&mm, &input, batch_axis, time_axis](int b_start, int b_end, int t_start, int t_end) {
            return mm->add_instruction(migraphx::make_op("slice",
                                                         {{"axes", {batch_axis, time_axis}},
                                                          {"starts", {b_start, t_start}},
                                                          {"ends", {b_end, t_end}}}),
                                       input);
        };
    auto ret = add_slice(0, 1, 0, time_size);
    for(int b = 1; b < batch_size; ++b)
    {
        auto s0 = add_slice(b, b + 1, 0, sequence_lens[b]);
        s0      = mm->add_instruction(migraphx::make_op("reverse", {{"axes", {time_axis}}}), s0);
        if(sequence_lens[b] < time_size)
        {
            auto s1 = add_slice(b, b + 1, sequence_lens[b], time_size);
            s0 = mm->add_instruction(migraphx::make_op("concat", {{"axis", time_axis}}), s0, s1);
        }
        ret = mm->add_instruction(migraphx::make_op("concat", {{"axis", batch_axis}}), ret, s0);
    }
    mm->add_return({ret});

    auto prog = migraphx::parse_onnx("reversesequence_batch_test.onnx");
    EXPECT(p == prog);
}

TEST_CASE(reversesequence_batch_axis_err_test)
{
    EXPECT(test::throws([&] { migraphx::parse_onnx("reversesequence_batch_axis_err_test.onnx"); }));
}

TEST_CASE(reversesequence_rank_err_test)
{
    EXPECT(test::throws([&] { migraphx::parse_onnx("reversesequence_rank_err_test.onnx"); }));
}

TEST_CASE(reversesequence_sequence_lens_shape_err_test)
{
    EXPECT(test::throws(
        [&] { migraphx::parse_onnx("reversesequence_sequence_lens_shape_err_test.onnx"); }));
}

TEST_CASE(reversesequence_same_axis_err_test)
{
    EXPECT(test::throws([&] { migraphx::parse_onnx("reversesequence_same_axis_err_test.onnx"); }));
}

TEST_CASE(reversesequence_time_axis_err_test)
{
    EXPECT(test::throws([&] { migraphx::parse_onnx("reversesequence_time_axis_err_test.onnx"); }));
}

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

    int batch_axis = 1;
    int time_axis  = 0;

    migraphx::shape sx{migraphx::shape::float_type, {4, 4}};
    auto input = mm->add_parameter("x", sx);

    int batch_size                     = sx.lens()[batch_axis];
    int time_size                      = sx.lens()[time_axis];
    std::vector<int64_t> sequence_lens = {4, 3, 2, 1};

    auto add_slice =
        [&mm, &input, batch_axis, time_axis](int b_start, int b_end, int t_start, int t_end) {
            return mm->add_instruction(migraphx::make_op("slice",
                                                         {{"axes", {batch_axis, time_axis}},
                                                          {"starts", {b_start, t_start}},
                                                          {"ends", {b_end, t_end}}}),
                                       input);
        };

    migraphx::instruction_ref ret;
    for(int b = 0; b < batch_size - 1; ++b)
    {
        auto s0 = add_slice(b, b + 1, 0, sequence_lens[b]);
        s0      = mm->add_instruction(migraphx::make_op("reverse", {{"axes", {time_axis}}}), s0);
        if(sequence_lens[b] < time_size)
        {
            auto s1 = add_slice(b, b + 1, sequence_lens[b], time_size);
            s0 = mm->add_instruction(migraphx::make_op("concat", {{"axis", time_axis}}), s0, s1);
        }
        if(b == 0)
        {
            ret = s0;
        }
        else
        {
            ret = mm->add_instruction(migraphx::make_op("concat", {{"axis", batch_axis}}), ret, s0);
        }
    }
    auto s0 = add_slice(batch_size - 1, batch_size, 0, time_size);
    ret     = mm->add_instruction(migraphx::make_op("concat", {{"axis", batch_axis}}), ret, s0);
    mm->add_return({ret});

    auto prog = migraphx::parse_onnx("reversesequence_time_test.onnx");
    EXPECT(p == prog);
}

Shucai Xiao's avatar
Shucai Xiao committed
5185
5186
5187
5188
5189
5190
5191
5192
5193
5194
5195
5196
5197
5198
5199
5200
5201
5202
5203
5204
5205
5206
5207
5208
5209
5210
5211
5212
5213
5214
5215
5216
5217
5218
5219
5220
5221
5222
5223
5224
5225
5226
5227
5228
5229
5230
5231
5232
5233
TEST_CASE(roialign_default_test)
{
    migraphx::shape sx{migraphx::shape::float_type, {10, 4, 7, 8}};
    migraphx::shape srois{migraphx::shape::float_type, {8, 4}};
    migraphx::shape sbi{migraphx::shape::int64_type, {8}};

    migraphx::program p;
    auto* mm  = p.get_main_module();
    auto x    = mm->add_parameter("x", sx);
    auto rois = mm->add_parameter("rois", srois);
    auto bi   = mm->add_parameter("batch_ind", sbi);

    auto r = mm->add_instruction(migraphx::make_op("roialign"), x, rois, bi);
    mm->add_return({r});

    auto prog = migraphx::parse_onnx("roialign_default_test.onnx");

    EXPECT(p == prog);
}

TEST_CASE(roialign_test)
{
    migraphx::shape sx{migraphx::shape::float_type, {10, 5, 4, 7}};
    migraphx::shape srois{migraphx::shape::float_type, {8, 4}};
    migraphx::shape sbi{migraphx::shape::int64_type, {8}};

    migraphx::program p;
    auto* mm  = p.get_main_module();
    auto x    = mm->add_parameter("x", sx);
    auto rois = mm->add_parameter("rois", srois);
    auto bi   = mm->add_parameter("batch_ind", sbi);

    auto r = mm->add_instruction(
        migraphx::make_op("roialign",
                          {{"coordinate_transformation_mode", "output_half_pixel"},
                           {"spatial_scale", 2.0f},
                           {"output_height", 5},
                           {"output_width", 5},
                           {"sampling_ratio", 3}}),
        x,
        rois,
        bi);
    mm->add_return({r});

    auto prog = migraphx::parse_onnx("roialign_test.onnx");

    EXPECT(p == prog);
}

Khalique's avatar
Khalique committed
5234
5235
5236
TEST_CASE(round_test)
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
5237
5238
    auto* mm   = p.get_main_module();
    auto input = mm->add_parameter("x", migraphx::shape{migraphx::shape::double_type, {10, 5}});
5239
    mm->add_instruction(migraphx::make_op("round"), input);
Khalique's avatar
Khalique committed
5240

Shucai Xiao's avatar
Shucai Xiao committed
5241
    auto prog = optimize_onnx("round_test.onnx");
Khalique's avatar
Khalique committed
5242
5243
5244
    EXPECT(p == prog);
}

5245
5246
// the ScatterElements op has 3 reduction modes, which map to separate reference ops
migraphx::program create_scatter_program(const std::string& scatter_mode, int axis)
Shucai Xiao's avatar
Shucai Xiao committed
5247
5248
5249
5250
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    auto l0 = mm->add_parameter("data", migraphx::shape{migraphx::shape::float_type, {3, 4, 5, 6}});
Shucai Xiao's avatar
Shucai Xiao committed
5251
5252
5253
5254
    auto l1 =
        mm->add_parameter("indices", migraphx::shape{migraphx::shape::int32_type, {2, 3, 4, 5}});
    auto l2 =
        mm->add_parameter("update", migraphx::shape{migraphx::shape::float_type, {2, 3, 4, 5}});
5255
    auto r = mm->add_instruction(migraphx::make_op(scatter_mode, {{"axis", axis}}), l0, l1, l2);
Shucai Xiao's avatar
Shucai Xiao committed
5256
    mm->add_return({r});
5257
5258
5259
5260
5261
5262
5263
5264
5265
5266
5267
5268
5269
5270
5271
5272
5273
5274
5275
5276
5277
5278
    return p;
}

TEST_CASE(scatter_add_test)
{
    migraphx::program p = create_scatter_program("scatter_add", -2);
    auto prog           = migraphx::parse_onnx("scatter_add_test.onnx");

    EXPECT(p == prog);
}

TEST_CASE(scatter_mul_test)
{
    migraphx::program p = create_scatter_program("scatter_mul", -2);
    auto prog           = migraphx::parse_onnx("scatter_mul_test.onnx");

    EXPECT(p == prog);
}
TEST_CASE(scatter_none_test)
{
    migraphx::program p = create_scatter_program("scatter_none", -2);
    auto prog           = migraphx::parse_onnx("scatter_none_test.onnx");
Shucai Xiao's avatar
Shucai Xiao committed
5279
5280
5281
5282

    EXPECT(p == prog);
}

turneram's avatar
turneram committed
5283
5284
5285
5286
5287
5288
5289
5290
5291
5292
5293
5294
5295
5296
5297
5298
5299
5300
5301
5302
5303
5304
5305
5306
5307
5308
5309
5310
5311
5312
5313
5314
5315
5316
5317
5318
5319
5320
5321
5322
5323
5324
5325
5326
5327
5328
5329
5330
5331
5332
5333
TEST_CASE(scatternd_test)
{
    {
        migraphx::program p;
        auto* mm = p.get_main_module();
        auto l0 =
            mm->add_parameter("data", migraphx::shape{migraphx::shape::float_type, {2, 2, 2}});
        auto l1 =
            mm->add_parameter("indices", migraphx::shape{migraphx::shape::int64_type, {2, 1, 2}});
        auto l2 =
            mm->add_parameter("updates", migraphx::shape{migraphx::shape::float_type, {2, 1, 2}});
        auto r = mm->add_instruction(migraphx::make_op("scatternd_none"), l0, l1, l2);
        mm->add_return({r});
        auto prog = migraphx::parse_onnx("scatternd_test.onnx");

        EXPECT(p == prog);
    }

    {
        migraphx::program p;
        auto* mm = p.get_main_module();
        auto l0 =
            mm->add_parameter("data", migraphx::shape{migraphx::shape::float_type, {2, 2, 2}});
        auto l1 =
            mm->add_parameter("indices", migraphx::shape{migraphx::shape::int64_type, {2, 1, 2}});
        auto l2 =
            mm->add_parameter("updates", migraphx::shape{migraphx::shape::float_type, {2, 1, 2}});
        auto r = mm->add_instruction(migraphx::make_op("scatternd_add"), l0, l1, l2);
        mm->add_return({r});
        auto prog = migraphx::parse_onnx("scatternd_add_test.onnx");

        EXPECT(p == prog);
    }

    {
        migraphx::program p;
        auto* mm = p.get_main_module();
        auto l0 =
            mm->add_parameter("data", migraphx::shape{migraphx::shape::float_type, {2, 2, 2}});
        auto l1 =
            mm->add_parameter("indices", migraphx::shape{migraphx::shape::int64_type, {2, 1, 2}});
        auto l2 =
            mm->add_parameter("updates", migraphx::shape{migraphx::shape::float_type, {2, 1, 2}});
        auto r = mm->add_instruction(migraphx::make_op("scatternd_mul"), l0, l1, l2);
        mm->add_return({r});
        auto prog = migraphx::parse_onnx("scatternd_mul_test.onnx");

        EXPECT(p == prog);
    }
}

Shucai Xiao's avatar
Shucai Xiao committed
5334
5335
5336
TEST_CASE(selu_test)
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
5337
    auto* mm                      = p.get_main_module();
Shucai Xiao's avatar
Shucai Xiao committed
5338
5339
    std::vector<std::size_t> lens = {2, 3};
    migraphx::shape s{migraphx::shape::double_type, lens};
Shucai Xiao's avatar
Shucai Xiao committed
5340
    auto x = mm->add_parameter("x", s);
Shucai Xiao's avatar
Shucai Xiao committed
5341
5342

    migraphx::shape ls{migraphx::shape::double_type, {1}};
5343
5344
5345
5346
    auto la   = mm->add_literal({ls, {0.3}});
    auto lg   = mm->add_literal({ls, {0.25}});
    auto mbla = mm->add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", lens}}), la);
    auto mblg = mm->add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", lens}}), lg);
Shucai Xiao's avatar
Shucai Xiao committed
5347

5348
5349
    auto sign_x = mm->add_instruction(migraphx::make_op("sign"), x);
    auto exp_x  = mm->add_instruction(migraphx::make_op("exp"), x);
Shucai Xiao's avatar
Shucai Xiao committed
5350

5351
5352
    auto mlax  = mm->add_instruction(migraphx::make_op("mul"), mbla, exp_x);
    auto smlax = mm->add_instruction(migraphx::make_op("sub"), mlax, mbla);
Shucai Xiao's avatar
Shucai Xiao committed
5353

5354
5355
    auto item1 = mm->add_instruction(migraphx::make_op("add"), smlax, x);
    auto item2 = mm->add_instruction(migraphx::make_op("sub"), smlax, x);
Shucai Xiao's avatar
Shucai Xiao committed
5356

5357
5358
5359
    auto sitem2 = mm->add_instruction(migraphx::make_op("mul"), sign_x, item2);
    auto item12 = mm->add_instruction(migraphx::make_op("sub"), item1, sitem2);
    auto r      = mm->add_instruction(migraphx::make_op("mul"), item12, mblg);
Shucai Xiao's avatar
Shucai Xiao committed
5360
    mm->add_return({r});
Shucai Xiao's avatar
Shucai Xiao committed
5361
5362
5363
5364
5365
5366

    auto prog = migraphx::parse_onnx("selu_test.onnx");

    EXPECT(p == prog);
}

Khalique's avatar
Khalique committed
5367
TEST_CASE(shape_test)
5368
5369
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
5370
    auto* mm = p.get_main_module();
Khalique's avatar
Khalique committed
5371
    migraphx::shape s{migraphx::shape::float_type, {3, 4, 5, 6}};
Shucai Xiao's avatar
Shucai Xiao committed
5372
    auto l0 = mm->add_parameter("x", s);
Khalique's avatar
Khalique committed
5373
    migraphx::shape s_shape{migraphx::shape::int64_type, {4}};
Shucai Xiao's avatar
Shucai Xiao committed
5374
    mm->add_literal(s_shape, l0->get_shape().lens());
Shucai Xiao's avatar
Shucai Xiao committed
5375
    auto prog = optimize_onnx("shape_test.onnx");
5376
5377
5378
5379

    EXPECT(p == prog);
}

Khalique's avatar
Khalique committed
5380
TEST_CASE(shape_gather_test)
5381
5382
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
5383
5384
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("x", migraphx::shape{migraphx::shape::float_type, {7, 3, 10}});
5385
    migraphx::shape const_shape{migraphx::shape::int32_type, {1}};
Shucai Xiao's avatar
Shucai Xiao committed
5386
    auto l2 = mm->add_literal(migraphx::literal{const_shape, {1}});
Khalique's avatar
Khalique committed
5387
    auto l1 =
Shucai Xiao's avatar
Shucai Xiao committed
5388
        mm->add_literal(migraphx::shape{migraphx::shape::int64_type, {3}}, l0->get_shape().lens());
Khalique's avatar
Khalique committed
5389
    int axis = 0;
5390
    mm->add_instruction(migraphx::make_op("gather", {{"axis", axis}}), l1, l2);
Shucai Xiao's avatar
Shucai Xiao committed
5391
    auto prog = optimize_onnx("shape_gather_test.onnx");
5392
5393
5394
5395

    EXPECT(p == prog);
}

Khalique's avatar
Khalique committed
5396
TEST_CASE(sign_test)
Khalique's avatar
Khalique committed
5397
5398
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
5399
5400
    auto* mm   = p.get_main_module();
    auto input = mm->add_parameter("x", migraphx::shape{migraphx::shape::double_type, {10, 5}});
5401
    mm->add_instruction(migraphx::make_op("sign"), input);
Khalique's avatar
Khalique committed
5402

Shucai Xiao's avatar
Shucai Xiao committed
5403
    auto prog = optimize_onnx("sign_test.onnx");
Khalique's avatar
Khalique committed
5404
5405
5406
    EXPECT(p == prog);
}

Khalique's avatar
Khalique committed
5407
TEST_CASE(sin_test)
5408
5409
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
5410
5411
    auto* mm   = p.get_main_module();
    auto input = mm->add_parameter("x", migraphx::shape{migraphx::shape::float_type, {10}});
5412
    mm->add_instruction(migraphx::make_op("sin"), input);
5413

Shucai Xiao's avatar
Shucai Xiao committed
5414
    auto prog = optimize_onnx("sin_test.onnx");
5415
5416
5417
    EXPECT(p == prog);
}

Khalique's avatar
Khalique committed
5418
TEST_CASE(sinh_test)
5419
5420
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
5421
5422
    auto* mm   = p.get_main_module();
    auto input = mm->add_parameter("x", migraphx::shape{migraphx::shape::float_type, {10}});
5423
    mm->add_instruction(migraphx::make_op("sinh"), input);
Khalique's avatar
Khalique committed
5424

Shucai Xiao's avatar
Shucai Xiao committed
5425
    auto prog = optimize_onnx("sinh_test.onnx");
5426
5427
5428
5429

    EXPECT(p == prog);
}

Charlie Lin's avatar
Charlie Lin committed
5430
5431
5432
5433
5434
5435
5436
5437
5438
5439
5440
5441
5442
5443
5444
5445
5446
5447
5448
5449
5450
5451
5452
5453
5454
5455
5456
5457
5458
5459
5460
5461
5462
5463
TEST_CASE(size_float_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    auto s   = migraphx::shape{migraphx::shape::float_type, {2, 3, 4}};
    mm->add_parameter("x", s);
    mm->add_literal(migraphx::literal{migraphx::shape::int64_type, {s.elements()}});

    auto prog = optimize_onnx("size_float_test.onnx");
    EXPECT(p == prog);
}

TEST_CASE(size_half_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    auto s   = migraphx::shape{migraphx::shape::half_type, {3, 1}};
    mm->add_parameter("x", s);
    mm->add_literal(migraphx::literal{migraphx::shape::int64_type, {s.elements()}});
    auto prog = optimize_onnx("size_half_test.onnx");
    EXPECT(p == prog);
}

TEST_CASE(size_int_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    auto s   = migraphx::shape{migraphx::shape::int32_type, {8, 2, 3}};
    mm->add_parameter("x", s);
    mm->add_literal(migraphx::literal{migraphx::shape::int64_type, {s.elements()}});
    auto prog = optimize_onnx("size_int_test.onnx");
    EXPECT(p == prog);
}

kahmed10's avatar
kahmed10 committed
5464
5465
5466
TEST_CASE(slice_test)
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
5467
5468
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("0", migraphx::shape{migraphx::shape::float_type, {3, 2}});
5469
5470
    mm->add_instruction(
        migraphx::make_op("slice", {{"axes", {0, 1}}, {"starts", {1, 0}}, {"ends", {2, 2}}}), l0);
kahmed10's avatar
kahmed10 committed
5471
5472
5473
5474
5475
5476
5477
5478
    auto prog = optimize_onnx("slice_test.onnx");

    EXPECT(p == prog);
}

TEST_CASE(slice_3arg_test)
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
5479
5480
5481
5482
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("0", migraphx::shape{migraphx::shape::float_type, {5, 5}});
    mm->add_literal({{migraphx::shape::int32_type, {2}}, {0, 0}});
    mm->add_literal({{migraphx::shape::int32_type, {2}}, {2, 5}});
5483
5484
    auto ret = mm->add_instruction(
        migraphx::make_op("slice", {{"axes", {0, 1}}, {"starts", {0, 0}}, {"ends", {2, 5}}}), l0);
Shucai Xiao's avatar
Shucai Xiao committed
5485
    mm->add_return({ret});
kahmed10's avatar
kahmed10 committed
5486
5487
5488
5489
5490
5491

    auto prog = migraphx::parse_onnx("slice_3arg_test.onnx");

    EXPECT(p == prog);
}

Shucai Xiao's avatar
Shucai Xiao committed
5492
5493
5494
TEST_CASE(slice_5arg_test)
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
5495
5496
5497
5498
5499
5500
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("0", migraphx::shape{migraphx::shape::float_type, {5, 5}});
    mm->add_literal({{migraphx::shape::int32_type, {2}}, {1, 1}});
    mm->add_literal({{migraphx::shape::int32_type, {2}}, {-1, -2}});
    mm->add_literal({{migraphx::shape::int32_type, {2}}, {-1, -1}});
    mm->add_literal({{migraphx::shape::int32_type, {2}}, {-5, -3}});
5501
5502
5503
    auto ret = mm->add_instruction(
        migraphx::make_op("slice", {{"axes", {-1, -2}}, {"starts", {-5, -3}}, {"ends", {-1, -1}}}),
        l0);
Shucai Xiao's avatar
Shucai Xiao committed
5504
    mm->add_return({ret});
Shucai Xiao's avatar
Shucai Xiao committed
5505
5506
5507
5508
5509
5510

    auto prog = migraphx::parse_onnx("slice_5arg_test.onnx");

    EXPECT(p == prog);
}

Cagri Eryilmaz's avatar
Cagri Eryilmaz committed
5511
5512
5513
5514
5515
5516
5517
TEST_CASE(slice_5arg_reverse_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("0", migraphx::shape{migraphx::shape::float_type, {5, 5}});
    mm->add_literal({{migraphx::shape::int32_type, {2}}, {-1, 1}});
    mm->add_literal({{migraphx::shape::int32_type, {2}}, {-1, -2}});
5518
5519
    mm->add_literal({{migraphx::shape::int32_type, {2}}, {-5, -1}});
    mm->add_literal({{migraphx::shape::int32_type, {2}}, {-1, -3}});
Cagri Eryilmaz's avatar
Cagri Eryilmaz committed
5520
    auto slice_out = mm->add_instruction(
5521
5522
        migraphx::make_op("slice",
                          {{"axes", {-1, -2}}, {"starts", {-4, -3}}, {"ends", {2147483647, -1}}}),
Cagri Eryilmaz's avatar
Cagri Eryilmaz committed
5523
5524
5525
5526
5527
5528
5529
5530
5531
        l0);
    auto ret = mm->add_instruction(migraphx::make_op("reverse", {{"axes", {-1}}}), slice_out);
    mm->add_return({ret});

    auto prog = migraphx::parse_onnx("slice_5arg_reverse_test.onnx");

    EXPECT(p == prog);
}

5532
5533
5534
5535
5536
5537
5538
5539
5540
5541
5542
5543
5544
5545
5546
5547
5548
5549
5550
5551
5552
5553
5554
5555
TEST_CASE(slice_5arg_step_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("0", migraphx::shape{migraphx::shape::float_type, {5, 5}});
    mm->add_literal({{migraphx::shape::int32_type, {2}}, {-2, 2}});
    mm->add_literal({{migraphx::shape::int32_type, {2}}, {-1, -2}});
    mm->add_literal({{migraphx::shape::int32_type, {2}}, {-5, -1}});
    mm->add_literal({{migraphx::shape::int32_type, {2}}, {-1, -3}});
    auto slice_out = mm->add_instruction(
        migraphx::make_op("slice",
                          {{"axes", {-1, -2}}, {"starts", {-4, -3}}, {"ends", {2147483647, -1}}}),
        l0);
    auto reverse_out =
        mm->add_instruction(migraphx::make_op("reverse", {{"axes", {-1}}}), slice_out);
    auto step_out = mm->add_instruction(
        migraphx::make_op("step", {{"axes", {-1, -2}}, {"steps", {2, 2}}}), reverse_out);
    mm->add_return({step_out});

    auto prog = migraphx::parse_onnx("slice_5arg_step_test.onnx");

    EXPECT(p == prog);
}

5556
5557
5558
TEST_CASE(slice_max_end_test)
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
5559
5560
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("0", migraphx::shape{migraphx::shape::float_type, {10, 20}});
5561
5562
5563
5564
    mm->add_instruction(
        migraphx::make_op("slice",
                          {{"axes", {0, 1}}, {"starts", {1, 2}}, {"ends", {3000000000, -1}}}),
        l0);
5565
5566
5567
5568
5569
    auto prog = optimize_onnx("slice_max_end_test.onnx");

    EXPECT(p == prog);
}

Khalique's avatar
Khalique committed
5570
TEST_CASE(softmax_test)
Shucai Xiao's avatar
Shucai Xiao committed
5571
5572
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
5573
5574
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("0", migraphx::shape{migraphx::shape::float_type, {1, 3}});
5575
    mm->add_instruction(migraphx::make_op("softmax", {{"axis", 1}}), l0);
Shucai Xiao's avatar
Shucai Xiao committed
5576
    auto prog = optimize_onnx("softmax_test.onnx");
Shucai Xiao's avatar
Shucai Xiao committed
5577
5578
5579
5580

    EXPECT(p == prog);
}

5581
5582
5583
5584
5585
5586
5587
TEST_CASE(softmax_nonstd_input_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("0", migraphx::shape{migraphx::shape::float_type, {6, 8}});
    auto l1  = mm->add_instruction(
        migraphx::make_op("slice", {{"axes", {0, 1}}, {"starts", {1, 0}}, {"ends", {4, 4}}}), l0);
Shucai Xiao's avatar
Shucai Xiao committed
5588
    auto l2 = mm->add_instruction(migraphx::make_op("softmax", {{"axis", -1}}), l1);
5589
5590
5591
5592
5593
5594
5595
    mm->add_return({l2});

    auto prog = migraphx::parse_onnx("softmax_nonstd_input_test.onnx");

    EXPECT(p == prog);
}

turneram's avatar
turneram committed
5596
5597
5598
5599
5600
5601
5602
5603
5604
5605
5606
5607
5608
5609
5610
5611
5612
5613
5614
5615
5616
5617
5618
5619
5620
5621
5622
5623
5624
5625
5626
5627
5628
5629
5630
5631
5632
5633
5634
5635
TEST_CASE(softplus_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();

    std::vector<std::size_t> input_lens{5};
    auto input_type = migraphx::shape::float_type;

    auto x = mm->add_parameter("x", migraphx::shape{input_type, input_lens});
    auto mb_ones =
        mm->add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", input_lens}}),
                            mm->add_literal(migraphx::literal{migraphx::shape{input_type}, {1}}));
    auto exp = mm->add_instruction(migraphx::make_op("exp"), x);
    auto add = mm->add_instruction(migraphx::make_op("add"), exp, mb_ones);
    mm->add_instruction(migraphx::make_op("log"), add);

    auto prog = optimize_onnx("softplus_test.onnx");
    EXPECT(p == prog);
}

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

    std::vector<std::size_t> input_lens{3, 4, 5};
    auto input_type = migraphx::shape::half_type;

    auto x = mm->add_parameter("x", migraphx::shape{input_type, input_lens});
    auto mb_ones =
        mm->add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", input_lens}}),
                            mm->add_literal(migraphx::literal{migraphx::shape{input_type}, {1}}));
    auto exp = mm->add_instruction(migraphx::make_op("exp"), x);
    auto add = mm->add_instruction(migraphx::make_op("add"), exp, mb_ones);
    mm->add_instruction(migraphx::make_op("log"), add);

    auto prog = optimize_onnx("softplus_nd_test.onnx");
    EXPECT(p == prog);
}

turneram's avatar
turneram committed
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
5663
5664
5665
5666
5667
5668
5669
5670
5671
5672
5673
5674
5675
TEST_CASE(softsign_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();

    std::vector<std::size_t> input_lens{5};
    auto input_type = migraphx::shape::float_type;

    auto x = mm->add_parameter("x", migraphx::shape{input_type, input_lens});
    auto mb_ones =
        mm->add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", input_lens}}),
                            mm->add_literal(migraphx::literal{migraphx::shape{input_type}, {1}}));
    auto abs = mm->add_instruction(migraphx::make_op("abs"), x);
    auto add = mm->add_instruction(migraphx::make_op("add"), abs, mb_ones);
    mm->add_instruction(migraphx::make_op("div"), x, add);

    auto prog = optimize_onnx("softsign_test.onnx");
    EXPECT(p == prog);
}

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

    std::vector<std::size_t> input_lens{3, 4, 5};
    auto input_type = migraphx::shape::half_type;

    auto x = mm->add_parameter("x", migraphx::shape{input_type, input_lens});
    auto mb_ones =
        mm->add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", input_lens}}),
                            mm->add_literal(migraphx::literal{migraphx::shape{input_type}, {1}}));
    auto abs = mm->add_instruction(migraphx::make_op("abs"), x);
    auto add = mm->add_instruction(migraphx::make_op("add"), abs, mb_ones);
    mm->add_instruction(migraphx::make_op("div"), x, add);

    auto prog = optimize_onnx("softsign_nd_test.onnx");
    EXPECT(p == prog);
}

Shucai Xiao's avatar
Shucai Xiao committed
5676
5677
5678
TEST_CASE(split_minus_axis_test)
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
5679
5680
    auto* mm   = p.get_main_module();
    auto input = mm->add_parameter("x", migraphx::shape{migraphx::shape::float_type, {10, 15}});
5681
5682
5683
5684
5685
5686
    auto r1    = mm->add_instruction(
        migraphx::make_op("slice", {{"axes", {-1}}, {"starts", {0}}, {"ends", {5}}}), input);
    auto r2 = mm->add_instruction(
        migraphx::make_op("slice", {{"axes", {-1}}, {"starts", {5}}, {"ends", {10}}}), input);
    auto r3 = mm->add_instruction(
        migraphx::make_op("slice", {{"axes", {-1}}, {"starts", {10}}, {"ends", {15}}}), input);
Shucai Xiao's avatar
Shucai Xiao committed
5687
    mm->add_return({r1, r2, r3});
Shucai Xiao's avatar
Shucai Xiao committed
5688
5689
5690
5691
5692
5693

    auto prog = migraphx::parse_onnx("split_minus_axis_test.onnx");

    EXPECT(p == prog);
}

5694
5695
5696
TEST_CASE(split_test)
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
5697
5698
    auto* mm   = p.get_main_module();
    auto input = mm->add_parameter("x", migraphx::shape{migraphx::shape::float_type, {10, 15}});
5699
5700
5701
5702
5703
5704
    auto r1    = mm->add_instruction(
        migraphx::make_op("slice", {{"axes", {1}}, {"starts", {0}}, {"ends", {7}}}), input);
    auto r2 = mm->add_instruction(
        migraphx::make_op("slice", {{"axes", {1}}, {"starts", {7}}, {"ends", {11}}}), input);
    auto r3 = mm->add_instruction(
        migraphx::make_op("slice", {{"axes", {1}}, {"starts", {11}}, {"ends", {15}}}), input);
Shucai Xiao's avatar
Shucai Xiao committed
5705
    mm->add_return({r1, r2, r3});
5706
5707
5708
5709
5710
5711
5712
5713

    auto prog = migraphx::parse_onnx("split_test.onnx");
    EXPECT(p == prog);
}

TEST_CASE(split_test_default)
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
5714
5715
    auto* mm   = p.get_main_module();
    auto input = mm->add_parameter("x", migraphx::shape{migraphx::shape::float_type, {10, 15}});
5716
5717
5718
5719
    auto r1    = mm->add_instruction(
        migraphx::make_op("slice", {{"axes", {0}}, {"starts", {0}}, {"ends", {5}}}), input);
    auto r2 = mm->add_instruction(
        migraphx::make_op("slice", {{"axes", {0}}, {"starts", {5}}, {"ends", {10}}}), input);
Shucai Xiao's avatar
Shucai Xiao committed
5720
    mm->add_return({r1, r2});
5721
5722
5723
5724
5725

    auto prog = migraphx::parse_onnx("split_test_default.onnx");
    EXPECT(p == prog);
}

Khalique's avatar
Khalique committed
5726
TEST_CASE(sqrt_test)
Shucai Xiao's avatar
Shucai Xiao committed
5727
5728
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
5729
5730
    auto* mm   = p.get_main_module();
    auto input = mm->add_parameter("x", migraphx::shape{migraphx::shape::float_type, {10, 15}});
5731
    mm->add_instruction(migraphx::make_op("sqrt"), input);
Shucai Xiao's avatar
Shucai Xiao committed
5732

Shucai Xiao's avatar
Shucai Xiao committed
5733
    auto prog = optimize_onnx("sqrt_test.onnx");
Shucai Xiao's avatar
Shucai Xiao committed
5734
5735
5736
    EXPECT(p == prog);
}

Khalique's avatar
Khalique committed
5737
TEST_CASE(squeeze_unsqueeze_test)
Khalique's avatar
Khalique committed
5738
5739
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
5740
    auto* mm = p.get_main_module();
Khalique's avatar
Khalique committed
5741
5742
5743
    std::vector<int64_t> squeeze_axes{0, 2, 3, 5};
    std::vector<int64_t> unsqueeze_axes{0, 1, 3, 5};
    auto l0 =
Shucai Xiao's avatar
Shucai Xiao committed
5744
        mm->add_parameter("0", migraphx::shape{migraphx::shape::float_type, {1, 3, 1, 1, 2, 1}});
5745
5746
    auto l1 = mm->add_instruction(migraphx::make_op("squeeze", {{"axes", squeeze_axes}}), l0);
    mm->add_instruction(migraphx::make_op("unsqueeze", {{"axes", unsqueeze_axes}}), l1);
Shucai Xiao's avatar
Shucai Xiao committed
5747
    auto prog = optimize_onnx("squeeze_unsqueeze_test.onnx");
Khalique's avatar
Khalique committed
5748
5749
5750
5751

    EXPECT(p == prog);
}

Shucai Xiao's avatar
Shucai Xiao committed
5752
5753
5754
5755
5756
5757
5758
5759
5760
5761
5762
5763
5764
5765
5766
5767
5768
5769
TEST_CASE(squeeze_axes_input_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    mm->add_literal(migraphx::literal({migraphx::shape::int64_type, {2}}, {1, 3}));
    auto l0 = mm->add_parameter("x", migraphx::shape{migraphx::shape::float_type, {3, 1, 5, 1}});
    auto l1 = mm->add_instruction(migraphx::make_op("squeeze", {{"axes", {1, 3}}}), l0);
    mm->add_return({l1});

    auto prog = migraphx::parse_onnx("squeeze_axes_input_test.onnx");

    EXPECT(p == prog);
}

TEST_CASE(squeeze_empty_axes_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
5770
    mm->add_literal(migraphx::literal{migraphx::shape::int64_type});
Shucai Xiao's avatar
Shucai Xiao committed
5771
5772
5773
5774
5775
5776
5777
5778
5779
    auto l0 = mm->add_parameter("x", migraphx::shape{migraphx::shape::float_type, {3, 1, 5, 1}});
    auto l1 = mm->add_instruction(migraphx::make_op("squeeze"), l0);
    mm->add_return({l1});

    auto prog = migraphx::parse_onnx("squeeze_empty_axes_test.onnx");

    EXPECT(p == prog);
}

Khalique's avatar
Khalique committed
5780
TEST_CASE(sub_bcast_test)
Shucai Xiao's avatar
Shucai Xiao committed
5781
5782
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
5783
5784
5785
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("0", migraphx::shape{migraphx::shape::float_type, {2, 3, 4, 5}});
    auto l1  = mm->add_parameter("1", migraphx::shape{migraphx::shape::float_type, {3, 4}});
5786
    auto l2  = mm->add_instruction(
5787
        migraphx::make_op("broadcast", {{"axis", 1}, {"out_lens", l0->get_shape().lens()}}), l1);
5788
    mm->add_instruction(migraphx::make_op("sub"), l0, l2);
Shucai Xiao's avatar
Shucai Xiao committed
5789

Shucai Xiao's avatar
Shucai Xiao committed
5790
    auto prog = optimize_onnx("sub_bcast_test.onnx");
Shucai Xiao's avatar
Shucai Xiao committed
5791
5792
5793
5794

    EXPECT(p == prog);
}

Khalique's avatar
Khalique committed
5795
TEST_CASE(sub_scalar_test)
Shucai Xiao's avatar
Shucai Xiao committed
5796
5797
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
5798
5799
5800
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("0", migraphx::shape{migraphx::shape::float_type, {2, 3, 4, 5}});
    auto l1 = mm->add_literal(migraphx::literal{migraphx::shape{migraphx::shape::float_type}, {1}});
5801
5802
    auto m1 =
        mm->add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", {2, 3, 4, 5}}}), l1);
5803
    mm->add_instruction(migraphx::make_op("sub"), l0, m1);
Shucai Xiao's avatar
Shucai Xiao committed
5804
    auto prog = optimize_onnx("sub_scalar_test.onnx");
Shucai Xiao's avatar
Shucai Xiao committed
5805
5806
5807
5808

    EXPECT(p == prog);
}

Shucai Xiao's avatar
Shucai Xiao committed
5809
5810
5811
TEST_CASE(sum_int_test)
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
5812
5813
5814
5815
    auto* mm    = p.get_main_module();
    auto input0 = mm->add_parameter("0", migraphx::shape{migraphx::shape::int16_type, {3}});
    auto input1 = mm->add_parameter("1", migraphx::shape{migraphx::shape::uint16_type, {3}});
    auto input2 = mm->add_parameter("2", migraphx::shape{migraphx::shape::uint32_type, {3}});
5816
5817
5818
5819
5820
5821
5822
5823
5824
5825
    auto cin0   = mm->add_instruction(
        migraphx::make_op("convert",
                          {{"target_type", migraphx::to_value(migraphx::shape::uint32_type)}}),
        input0);
    auto cin1 = mm->add_instruction(
        migraphx::make_op("convert",
                          {{"target_type", migraphx::to_value(migraphx::shape::uint32_type)}}),
        input1);
    auto l0 = mm->add_instruction(migraphx::make_op("add"), cin0, cin1);
    mm->add_instruction(migraphx::make_op("add"), l0, input2);
Shucai Xiao's avatar
Shucai Xiao committed
5826
5827
5828
5829
5830

    auto prog = optimize_onnx("sum_int_test.onnx");
    EXPECT(p == prog);
}

Khalique's avatar
Khalique committed
5831
TEST_CASE(sum_test)
5832
5833
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
5834
5835
5836
5837
    auto* mm    = p.get_main_module();
    auto input0 = mm->add_parameter("0", migraphx::shape{migraphx::shape::float_type, {3}});
    auto input1 = mm->add_parameter("1", migraphx::shape{migraphx::shape::float_type, {3}});
    auto input2 = mm->add_parameter("2", migraphx::shape{migraphx::shape::float_type, {3}});
5838
5839
    auto l0     = mm->add_instruction(migraphx::make_op("add"), input0, input1);
    mm->add_instruction(migraphx::make_op("add"), l0, input2);
5840

Shucai Xiao's avatar
Shucai Xiao committed
5841
    auto prog = optimize_onnx("sum_test.onnx");
5842
5843
5844
    EXPECT(p == prog);
}

Shucai Xiao's avatar
Shucai Xiao committed
5845
5846
5847
TEST_CASE(sum_type_test)
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
5848
5849
5850
5851
5852
5853
5854
5855
5856
    auto* mm      = p.get_main_module();
    auto l_bool   = mm->add_literal({migraphx::shape{migraphx::shape::bool_type, {2}}, {1, 0}});
    auto l_int8   = mm->add_literal({migraphx::shape{migraphx::shape::int8_type, {2}}, {1, 1}});
    auto l_uint8  = mm->add_literal({migraphx::shape{migraphx::shape::uint8_type, {2}}, {1, 1}});
    auto l_uint16 = mm->add_literal({migraphx::shape{migraphx::shape::uint16_type, {2}}, {1, 1}});
    auto l_uint32 = mm->add_literal({migraphx::shape{migraphx::shape::uint32_type, {2}}, {1, 1}});
    auto l_uint64 = mm->add_literal({migraphx::shape{migraphx::shape::uint64_type, {2}}, {1, 1}});
    auto l_double = mm->add_literal({migraphx::shape{migraphx::shape::double_type, {2}}, {1, 1}});
    auto l_raw  = mm->add_literal({migraphx::shape{migraphx::shape::double_type, {2}}, {1.5, 2.0}});
5857
5858
5859
5860
5861
5862
5863
5864
5865
5866
5867
5868
5869
5870
5871
5872
5873
5874
5875
5876
5877
5878
5879
5880
5881
5882
5883
5884
5885
5886
5887
    auto o_bool = mm->add_instruction(
        migraphx::make_op("convert",
                          {{"target_type", migraphx::to_value(migraphx::shape::double_type)}}),
        l_bool);
    auto o_int8 = mm->add_instruction(
        migraphx::make_op("convert",
                          {{"target_type", migraphx::to_value(migraphx::shape::double_type)}}),
        l_int8);
    auto o_uint8 = mm->add_instruction(
        migraphx::make_op("convert",
                          {{"target_type", migraphx::to_value(migraphx::shape::double_type)}}),
        l_uint8);
    auto o_uint16 = mm->add_instruction(
        migraphx::make_op("convert",
                          {{"target_type", migraphx::to_value(migraphx::shape::double_type)}}),
        l_uint16);
    auto o_uint32 = mm->add_instruction(
        migraphx::make_op("convert",
                          {{"target_type", migraphx::to_value(migraphx::shape::double_type)}}),
        l_uint32);
    auto o_uint64 = mm->add_instruction(
        migraphx::make_op("convert",
                          {{"target_type", migraphx::to_value(migraphx::shape::double_type)}}),
        l_uint64);
    auto s0 = mm->add_instruction(migraphx::make_op("add"), o_bool, o_int8);
    auto s1 = mm->add_instruction(migraphx::make_op("add"), s0, o_uint8);
    auto s2 = mm->add_instruction(migraphx::make_op("add"), s1, o_uint16);
    auto s3 = mm->add_instruction(migraphx::make_op("add"), s2, o_uint32);
    auto s4 = mm->add_instruction(migraphx::make_op("add"), s3, o_uint64);
    auto s5 = mm->add_instruction(migraphx::make_op("add"), s4, l_double);
    auto s6 = mm->add_instruction(migraphx::make_op("add"), s5, l_raw);
Shucai Xiao's avatar
Shucai Xiao committed
5888
    mm->add_return({s6});
Shucai Xiao's avatar
Shucai Xiao committed
5889
5890
5891
5892
5893
5894

    auto prog = migraphx::parse_onnx("sum_type_test.onnx");

    EXPECT(p == prog);
}

Khalique's avatar
Khalique committed
5895
TEST_CASE(tan_test)
5896
5897
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
5898
5899
    auto* mm   = p.get_main_module();
    auto input = mm->add_parameter("x", migraphx::shape{migraphx::shape::float_type, {10}});
5900
    mm->add_instruction(migraphx::make_op("tan"), input);
5901

Shucai Xiao's avatar
Shucai Xiao committed
5902
    auto prog = optimize_onnx("tan_test.onnx");
5903
5904
5905
    EXPECT(p == prog);
}

Khalique's avatar
Khalique committed
5906
TEST_CASE(tanh_test)
5907
5908
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
5909
5910
    auto* mm   = p.get_main_module();
    auto input = mm->add_parameter("x", migraphx::shape{migraphx::shape::float_type, {1}});
5911
    mm->add_instruction(migraphx::make_op("tanh"), input);
5912

Shucai Xiao's avatar
Shucai Xiao committed
5913
    auto prog = optimize_onnx("tanh_test.onnx");
5914
5915
5916
5917

    EXPECT(p == prog);
}

5918
5919
5920
5921
5922
5923
5924
5925
5926
5927
5928
5929
5930
5931
5932
5933
5934
5935
5936
5937
5938
5939
5940
5941
5942
5943
5944
5945
5946
5947
5948
5949
5950
5951
5952
5953
5954
5955
5956
5957
5958
5959
5960
5961
5962
5963
5964
5965
5966
5967
5968
5969
5970
5971
5972
5973
5974
TEST_CASE(thresholdedrelu_default_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    auto x   = mm->add_parameter("x", migraphx::shape{migraphx::shape::float_type, {2, 2, 3}});
    auto lz  = mm->add_literal(migraphx::literal{migraphx::shape{x->get_shape().type()}, {0}});
    auto la  = mm->add_literal(migraphx::literal{migraphx::shape{x->get_shape().type()}, {1.0f}});
    auto mbz = mm->add_instruction(
        migraphx::make_op("multibroadcast", {{"out_lens", x->get_shape().lens()}}), lz);
    auto mba = mm->add_instruction(
        migraphx::make_op("multibroadcast", {{"out_lens", x->get_shape().lens()}}), la);
    auto condition = mm->add_instruction(migraphx::make_op("greater"), x, mba);
    mm->add_instruction(migraphx::make_op("where"), condition, x, mbz);

    auto prog = optimize_onnx("thresholdedrelu_default_test.onnx");

    EXPECT(p == prog);
}

TEST_CASE(thresholdedrelu_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    auto x   = mm->add_parameter("x", migraphx::shape{migraphx::shape::float_type, {2, 2, 3}});
    auto lz  = mm->add_literal(migraphx::literal{migraphx::shape{x->get_shape().type()}, {0}});
    auto la  = mm->add_literal(migraphx::literal{migraphx::shape{x->get_shape().type()}, {3.0f}});
    auto mbz = mm->add_instruction(
        migraphx::make_op("multibroadcast", {{"out_lens", x->get_shape().lens()}}), lz);
    auto mba = mm->add_instruction(
        migraphx::make_op("multibroadcast", {{"out_lens", x->get_shape().lens()}}), la);
    auto condition = mm->add_instruction(migraphx::make_op("greater"), x, mba);
    mm->add_instruction(migraphx::make_op("where"), condition, x, mbz);

    auto prog = optimize_onnx("thresholdedrelu_test.onnx");

    EXPECT(p == prog);
}

TEST_CASE(thresholdedrelu_int_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    auto x   = mm->add_parameter("x", migraphx::shape{migraphx::shape::int32_type, {2, 2, 3}});
    auto lz  = mm->add_literal(migraphx::literal{migraphx::shape{x->get_shape().type()}, {0}});
    auto la  = mm->add_literal(migraphx::literal{migraphx::shape{x->get_shape().type()}, {3}});
    auto mbz = mm->add_instruction(
        migraphx::make_op("multibroadcast", {{"out_lens", x->get_shape().lens()}}), lz);
    auto mba = mm->add_instruction(
        migraphx::make_op("multibroadcast", {{"out_lens", x->get_shape().lens()}}), la);
    auto condition = mm->add_instruction(migraphx::make_op("greater"), x, mba);
    mm->add_instruction(migraphx::make_op("where"), condition, x, mbz);

    auto prog = optimize_onnx("thresholdedrelu_int_test.onnx");

    EXPECT(p == prog);
}

kahmed10's avatar
kahmed10 committed
5975
5976
5977
TEST_CASE(tile_test)
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
5978
5979
5980
    auto* mm = p.get_main_module();
    mm->add_literal(migraphx::literal{migraphx::shape{migraphx::shape::int64_type, {2}}, {1, 2}});
    auto input = mm->add_parameter("x", migraphx::shape{migraphx::shape::float_type, {2, 2}});
5981
    mm->add_instruction(migraphx::make_op("concat", {{"axis", 1}}), input, input);
kahmed10's avatar
kahmed10 committed
5982
5983
5984
5985
5986
5987
5988
5989
5990

    auto prog = optimize_onnx("tile_test.onnx");

    EXPECT(p == prog);
}

TEST_CASE(tile_test_3x2)
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
5991
5992
5993
    auto* mm = p.get_main_module();
    mm->add_literal(migraphx::literal{migraphx::shape{migraphx::shape::int64_type, {2}}, {3, 2}});
    auto input = mm->add_parameter("x", migraphx::shape{migraphx::shape::float_type, {2, 2}});
5994
5995
5996
    auto l0    = mm->add_instruction(migraphx::make_op("concat", {{"axis", 0}}), input, input);
    auto l1    = mm->add_instruction(migraphx::make_op("concat", {{"axis", 0}}), l0, input);
    mm->add_instruction(migraphx::make_op("concat", {{"axis", 1}}), l1, l1);
kahmed10's avatar
kahmed10 committed
5997
5998
5999
6000
6001
6002

    auto prog = optimize_onnx("tile_test_3x2.onnx");

    EXPECT(p == prog);
}

Shucai Xiao's avatar
Shucai Xiao committed
6003
6004
6005
6006
6007
6008
6009
6010
6011
6012
6013
6014
6015
6016
6017
6018
6019
6020
6021
TEST_CASE(transpose_default_perm_test)
{
    migraphx::program p;
    auto* mm   = p.get_main_module();
    auto input = mm->add_parameter("0", migraphx::shape{migraphx::shape::float_type, {1, 5, 2, 3}});
    std::vector<int64_t> perm{3, 2, 1, 0};
    auto r = mm->add_instruction(migraphx::make_op("transpose", {{"permutation", perm}}), input);
    mm->add_return({r});

    auto prog = migraphx::parse_onnx("transpose_default_perm_test.onnx");

    EXPECT(p == prog);
}

TEST_CASE(transpose_invalid_perm_test)
{
    EXPECT(test::throws([&] { migraphx::parse_onnx("transpose_invalid_perm_test.onnx"); }));
}

Khalique's avatar
Khalique committed
6022
TEST_CASE(transpose_test)
6023
6024
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
6025
6026
    auto* mm   = p.get_main_module();
    auto input = mm->add_parameter("0", migraphx::shape{migraphx::shape::float_type, {1, 2, 2, 3}});
Khalique's avatar
Khalique committed
6027
    std::vector<int64_t> perm{0, 3, 1, 2};
6028
    mm->add_instruction(migraphx::make_op("transpose", {{"permutation", perm}}), input);
Khalique's avatar
Khalique committed
6029

Shucai Xiao's avatar
Shucai Xiao committed
6030
    auto prog = optimize_onnx("transpose_test.onnx");
6031
6032
6033
6034

    EXPECT(p == prog);
}

Shucai Xiao's avatar
Shucai Xiao committed
6035
6036
6037
6038
6039
6040
6041
6042
6043
6044
6045
6046
6047
6048
6049
6050
6051
6052
6053
6054
6055
6056
6057
6058
6059
6060
6061
6062
6063
6064
6065
6066
6067
6068
6069
6070
6071
6072
6073
6074
6075
6076
6077
6078
6079
6080
6081
6082
6083
6084
6085
6086
6087
6088
TEST_CASE(topk_attrk_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    migraphx::shape s{migraphx::shape::float_type, {2, 5, 3, 2}};
    auto data = mm->add_parameter("data", s);
    auto out  = mm->add_instruction(migraphx::make_op("topk", {{"k", 2}, {"axis", -1}}), data);
    auto val  = mm->add_instruction(migraphx::make_op("get_tuple_elem", {{"index", 0}}), out);
    auto ind  = mm->add_instruction(migraphx::make_op("get_tuple_elem", {{"index", 1}}), out);
    mm->add_return({val, ind});

    auto prog = migraphx::parse_onnx("topk_attrk_test.onnx");

    EXPECT(p == prog);
}

TEST_CASE(topk_neg_axis_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    migraphx::shape sk{migraphx::shape::int64_type, {1}};
    mm->add_literal(migraphx::literal(sk, {3}));
    migraphx::shape s{migraphx::shape::float_type, {3, 4, 5, 6}};
    auto data = mm->add_parameter("data", s);
    auto out  = mm->add_instruction(
        migraphx::make_op("topk", {{"k", 3}, {"axis", -2}, {"largest", 1}}), data);
    auto val = mm->add_instruction(migraphx::make_op("get_tuple_elem", {{"index", 0}}), out);
    auto ind = mm->add_instruction(migraphx::make_op("get_tuple_elem", {{"index", 1}}), out);
    mm->add_return({val, ind});

    auto prog = migraphx::parse_onnx("topk_neg_axis_test.onnx");

    EXPECT(p == prog);
}

TEST_CASE(topk_test)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    migraphx::shape sk{migraphx::shape::int64_type, {1}};
    mm->add_literal(migraphx::literal(sk, {4}));
    migraphx::shape s{migraphx::shape::float_type, {2, 5, 3, 2}};
    auto data = mm->add_parameter("data", s);
    auto out  = mm->add_instruction(
        migraphx::make_op("topk", {{"k", 4}, {"axis", 1}, {"largest", 0}}), data);
    auto val = mm->add_instruction(migraphx::make_op("get_tuple_elem", {{"index", 0}}), out);
    auto ind = mm->add_instruction(migraphx::make_op("get_tuple_elem", {{"index", 1}}), out);
    mm->add_return({val, ind});

    auto prog = migraphx::parse_onnx("topk_test.onnx");

    EXPECT(p == prog);
}

Khalique's avatar
Khalique committed
6089
TEST_CASE(transpose_gather_test)
6090
6091
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
6092
6093
    auto* mm             = p.get_main_module();
    auto make_contiguous = [&mm](migraphx::instruction_ref ins) {
Khalique's avatar
Khalique committed
6094
6095
6096
6097
6098
        if(ins->get_shape().standard())
        {
            return ins;
        }

6099
        return mm->add_instruction(migraphx::make_op("contiguous"), ins);
Khalique's avatar
Khalique committed
6100
6101
    };

Shucai Xiao's avatar
Shucai Xiao committed
6102
6103
    auto data =
        mm->add_parameter("data", migraphx::shape{migraphx::shape::float_type, {3, 5, 4, 6}});
Khalique's avatar
Khalique committed
6104
    auto ind =
Shucai Xiao's avatar
Shucai Xiao committed
6105
        mm->add_parameter("indices", migraphx::shape{migraphx::shape::int32_type, {2, 4, 3, 5}});
6106
    auto tr_data =
6107
        mm->add_instruction(migraphx::make_op("transpose", {{"permutation", {0, 2, 1, 3}}}), data);
6108
    auto tr_ind =
6109
        mm->add_instruction(migraphx::make_op("transpose", {{"permutation", {0, 2, 1, 3}}}), ind);
6110
6111
6112
6113
    int axis = 1;
    mm->add_instruction(migraphx::make_op("gather", {{"axis", axis}}),
                        make_contiguous(tr_data),
                        make_contiguous(tr_ind));
Khalique's avatar
Khalique committed
6114

Shucai Xiao's avatar
Shucai Xiao committed
6115
    auto prog = optimize_onnx("transpose_gather_test.onnx");
6116

6117
    EXPECT(p.sort() == prog.sort());
6118
6119
}

6120
6121
6122
TEST_CASE(undefined_test)
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
6123
6124
    auto* mm = p.get_main_module();
    mm->add_parameter("0", migraphx::shape{migraphx::shape::float_type, {2, 3, 4, 5}});
6125
6126
    auto l1 = mm->add_instruction(migraphx::make_op("undefined"));
    auto l2 = mm->add_instruction(migraphx::make_op("identity"), l1);
Shucai Xiao's avatar
Shucai Xiao committed
6127
    mm->add_return({l2});
6128
6129
6130
6131
6132
6133

    auto prog = migraphx::parse_onnx("undefined_test.onnx");

    EXPECT(p == prog);
}

Khalique's avatar
Khalique committed
6134
TEST_CASE(unknown_test)
6135
6136
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
6137
6138
6139
6140
6141
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("0", migraphx::shape{migraphx::shape::float_type, {2, 3, 4, 5}});
    auto l1  = mm->add_parameter("1", migraphx::shape{migraphx::shape::float_type, {3, 4}});
    auto l2  = mm->add_instruction(migraphx::op::unknown{"Unknown"}, l0, l1);
    mm->add_instruction(migraphx::op::unknown{"Unknown"}, l2);
Shucai Xiao's avatar
Shucai Xiao committed
6142
    auto prog = optimize_onnx("unknown_test.onnx");
6143
6144
6145
6146

    EXPECT(p == prog);
}

6147
6148
6149
6150
6151
TEST_CASE(unknown_aten_test)
{
    EXPECT(test::throws([&] { migraphx::parse_onnx("unknown_aten_test.onnx"); }));
}

6152
6153
6154
6155
6156
TEST_CASE(unknown_test_throw)
{
    EXPECT(test::throws([&] { migraphx::parse_onnx("unknown_test.onnx"); }));
}

Shucai Xiao's avatar
Shucai Xiao committed
6157
6158
6159
6160
6161
6162
6163
TEST_CASE(upsample_linear_test)
{
    auto p    = create_upsample_linear_prog();
    auto prog = migraphx::parse_onnx("upsample_linear_test.onnx");
    EXPECT(p == prog);
}

Shucai Xiao's avatar
Shucai Xiao committed
6164
6165
6166
TEST_CASE(upsample_test)
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
6167
    auto* mm = p.get_main_module();
Shucai Xiao's avatar
Shucai Xiao committed
6168
    migraphx::shape ss{migraphx::shape::float_type, {4}};
Shucai Xiao's avatar
Shucai Xiao committed
6169
    mm->add_literal(migraphx::literal(ss, {1.0f, 1.0f, 2.0f, 3.0f}));
Shucai Xiao's avatar
Shucai Xiao committed
6170
6171

    migraphx::shape sx{migraphx::shape::float_type, {1, 1, 2, 2}};
Shucai Xiao's avatar
Shucai Xiao committed
6172
    auto ix = mm->add_parameter("X", sx);
Shucai Xiao's avatar
Shucai Xiao committed
6173
6174
6175
6176

    migraphx::shape si{migraphx::shape::int32_type, {1, 1, 4, 6}};
    std::vector<int> ind = {0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 1, 2, 2, 2, 3, 3, 3, 2, 2, 2, 3, 3, 3};

Shucai Xiao's avatar
Shucai Xiao committed
6177
    auto li  = mm->add_literal(migraphx::literal(si, ind));
6178
6179
    auto rsp = mm->add_instruction(migraphx::make_op("reshape", {{"dims", {4}}}), ix);
    auto r   = mm->add_instruction(migraphx::make_op("gather", {{"axis", 0}}), rsp, li);
Shucai Xiao's avatar
Shucai Xiao committed
6180
    mm->add_return({r});
Shucai Xiao's avatar
Shucai Xiao committed
6181
6182
6183
6184
6185
6186

    auto prog = migraphx::parse_onnx("upsample_test.onnx");

    EXPECT(p == prog);
}

6187
6188
6189
6190
6191
6192
6193
TEST_CASE(unknown_test_throw_print_error)
{
    migraphx::onnx_options options;
    options.print_program_on_error = true;
    EXPECT(test::throws([&] { migraphx::parse_onnx("unknown_test.onnx", options); }));
}

6194
6195
6196
TEST_CASE(variable_batch_test)
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
6197
6198
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("0", migraphx::shape{migraphx::shape::float_type, {1, 3, 16, 16}});
6199
    mm->add_instruction(migraphx::make_op("identity"), l0);
Shucai Xiao's avatar
Shucai Xiao committed
6200
    auto prog = optimize_onnx("variable_batch_test.onnx");
6201
6202
6203
6204

    EXPECT(p == prog);
}

6205
6206
6207
6208
6209
6210
6211
6212
6213
6214
6215
6216
6217
6218
6219
6220
6221
6222
6223
6224
6225
6226
6227
6228
6229
6230
6231
6232
6233
6234
6235
6236
6237
6238
6239
6240
6241
6242
6243
6244
6245
6246
6247
6248
6249
6250
6251
6252
6253
6254
6255
6256
6257
TEST_CASE(variable_batch_user_input_test1)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("0", migraphx::shape{migraphx::shape::float_type, {2, 3, 16, 16}});
    auto r   = mm->add_instruction(migraphx::make_op("identity"), l0);
    mm->add_return({r});

    migraphx::onnx_options options;
    options.default_dyn_dim_value = {2, 2, 0};

    auto prog = migraphx::parse_onnx("variable_batch_test.onnx", options);

    EXPECT(p == prog);
}

TEST_CASE(variable_batch_user_input_test2)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("0",
                                migraphx::shape{migraphx::shape::float_type,
                                                {{2, 5, 0}, {3, 3, 0}, {16, 16, 0}, {16, 16, 0}}});
    auto r   = mm->add_instruction(migraphx::make_op("identity"), l0);
    mm->add_return({r});

    migraphx::onnx_options options;
    options.default_dyn_dim_value = {2, 5, 0};

    auto prog = migraphx::parse_onnx("variable_batch_test.onnx", options);

    EXPECT(p == prog);
}

TEST_CASE(variable_batch_user_input_test3)
{
    migraphx::program p;
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("0",
                                migraphx::shape{migraphx::shape::float_type,
                                                {{2, 5, 0}, {3, 3, 0}, {16, 16, 0}, {16, 16, 0}}});
    auto r   = mm->add_instruction(migraphx::make_op("identity"), l0);
    mm->add_return({r});

    migraphx::onnx_options options;
    options.map_dyn_input_dims["0"] = {{2, 5, 0}, {3, 3, 0}, {16, 16, 0}, {16, 16, 0}};

    auto prog = migraphx::parse_onnx("variable_batch_test.onnx", options);

    EXPECT(p == prog);
}

TEST_CASE(variable_batch_user_input_test4)
6258
6259
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
6260
6261
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("0", migraphx::shape{migraphx::shape::float_type, {2, 3, 16, 16}});
6262
    auto r   = mm->add_instruction(migraphx::make_op("identity"), l0);
Shucai Xiao's avatar
Shucai Xiao committed
6263
    mm->add_return({r});
6264
6265
6266
6267
6268
6269
6270
6271
6272

    migraphx::onnx_options options;
    options.default_dim_value = 2;

    auto prog = migraphx::parse_onnx("variable_batch_test.onnx", options);

    EXPECT(p == prog);
}

6273
6274
6275
6276
6277
6278
6279
6280
6281
6282
6283
6284
6285
6286
6287
6288
6289
6290
6291
6292
TEST_CASE(variable_batch_user_input_test5)
{
    // Error using default_dim_value and default_dyn_dim_value
    migraphx::onnx_options options;
    options.default_dim_value     = 2;
    options.default_dyn_dim_value = {1, 2, 0};

    EXPECT(test::throws([&] { migraphx::parse_onnx("variable_batch_test.onnx", options); }));
}

TEST_CASE(variable_batch_user_input_test6)
{
    // Error using both map_dyn_input_dims and map_input_dims
    migraphx::onnx_options options;
    options.map_dyn_input_dims["0"] = {{2, 5, 0}, {3, 3, 0}, {16, 16, 0}, {16, 16, 0}};
    options.map_input_dims["0"]     = {2, 3, 16, 16};

    EXPECT(test::throws([&] { migraphx::parse_onnx("variable_batch_test.onnx", options); }));
}

6293
6294
6295
TEST_CASE(variable_batch_leq_zero_test)
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
6296
6297
6298
    auto* mm = p.get_main_module();
    auto l0  = mm->add_parameter("0", migraphx::shape{migraphx::shape::float_type, {1, 3, 16, 16}});
    auto l1  = mm->add_parameter("1", migraphx::shape{migraphx::shape::float_type, {1, 3, 16, 16}});
6299
    mm->add_instruction(migraphx::make_op("add"), l0, l1);
Shucai Xiao's avatar
Shucai Xiao committed
6300
    auto prog = optimize_onnx("variable_batch_leq_zero_test.onnx");
6301
6302
6303
6304

    EXPECT(p == prog);
}

Shucai Xiao's avatar
Shucai Xiao committed
6305
6306
6307
TEST_CASE(where_test)
{
    migraphx::program p;
Shucai Xiao's avatar
Shucai Xiao committed
6308
6309
6310
6311
6312
    auto* mm = p.get_main_module();
    auto lc  = mm->add_parameter("c", migraphx::shape{migraphx::shape::bool_type, {2}});
    auto lx  = mm->add_parameter("x", migraphx::shape{migraphx::shape::float_type, {2, 2, 2}});
    auto ly  = mm->add_parameter("y", migraphx::shape{migraphx::shape::float_type, {2, 1, 2, 2}});

turneram's avatar
turneram committed
6313
6314
    auto lccm =
        mm->add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", {2, 2, 2, 2}}}), lc);
6315
6316
6317
6318
    auto lxm =
        mm->add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", {2, 2, 2, 2}}}), lx);
    auto lym =
        mm->add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", {2, 2, 2, 2}}}), ly);
6319

turneram's avatar
turneram committed
6320
    auto r = mm->add_instruction(migraphx::make_op("where"), lccm, lxm, lym);
Shucai Xiao's avatar
Shucai Xiao committed
6321
    mm->add_return({r});
Shucai Xiao's avatar
Shucai Xiao committed
6322
6323
6324
6325
6326
6327

    auto prog = migraphx::parse_onnx("where_test.onnx");

    EXPECT(p == prog);
}

Khalique's avatar
Khalique committed
6328
int main(int argc, const char* argv[]) { test::run(argc, argv); }