op_shape_test.cpp 79 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.
 */
Paul's avatar
Paul committed
24
25
26
27
#include <migraphx/program.hpp>
#include <migraphx/iterator_for.hpp>
#include <migraphx/instruction.hpp>
#include <migraphx/operators.hpp>
28
#include <sstream>
29
30
31
32
#include <migraphx/make_op.hpp>

#include <migraphx/serialize.hpp>

33
34
#include "test.hpp"

Paul's avatar
Paul committed
35
template <class... Ts>
Paul's avatar
Paul committed
36
void expect_shape(const migraphx::shape& expected, const migraphx::operation& op, Ts... xs)
37
{
Paul's avatar
Paul committed
38
    migraphx::program p;
39
    auto* mm = p.get_main_module();
Paul's avatar
Paul committed
40
41
    std::vector<migraphx::shape> shapes{xs...};
    std::vector<migraphx::instruction_ref> args(shapes.size());
Paul's avatar
Paul committed
42
    std::transform(
43
44
        shapes.begin(), shapes.end(), args.begin(), [&](auto&& s) { return mm->add_outline(s); });
    mm->add_instruction(op, args);
45
    if(p.get_output_shapes().back() != expected)
Paul's avatar
Paul committed
46
    {
47
        std::cout << "FAILED: Incorrect shape for " << op << ": ";
48
        std::cout << expected << " != " << p.get_output_shapes().back() << std::endl;
Paul's avatar
Paul committed
49
        for(auto&& s : shapes)
50
51
52
53
            std::cout << "    " << s << std::endl;
    }
}

Paul's avatar
Paul committed
54
template <class... Ts>
Paul's avatar
Paul committed
55
void throws_shape(const migraphx::operation& op, Ts... xs)
56
{
Paul's avatar
Paul committed
57
    migraphx::program p;
58
    auto* mm = p.get_main_module();
Paul's avatar
Paul committed
59
60
    std::vector<migraphx::shape> shapes{xs...};
    std::vector<migraphx::instruction_ref> args(shapes.size());
Paul's avatar
Paul committed
61
    std::transform(
62
63
        shapes.begin(), shapes.end(), args.begin(), [&](auto&& s) { return mm->add_outline(s); });
    bool thrown = test::throws([&] { mm->add_instruction(op, args); });
Paul's avatar
Paul committed
64
65
    if(not thrown)
    {
66
        std::cout << "FAILED: No error found for " << op.name() << ": ";
Paul's avatar
Paul committed
67
        for(auto&& s : shapes)
68
69
70
71
            std::cout << "    " << s << std::endl;
    }
}

Paul's avatar
Paul committed
72
73
74
75
template <class...>
struct always_false : std::false_type
{
};
76

Paul's avatar
Paul committed
77
template <class... Ts>
Paul's avatar
Paul committed
78
void throws_shape(const migraphx::shape&, Ts...)
79
{
Paul's avatar
Paul committed
80
81
    static_assert(always_false<Ts...>{},
                  "An expected shape should not be passed to throws_shape function");
82
83
}

Shucai Xiao's avatar
Shucai Xiao committed
84
85
86
87
88
89
TEST_CASE(broadcast)
{
    {
        std::vector<std::size_t> lens{1, 1};
        migraphx::shape input{migraphx::shape::float_type, {1}, {0}};
        expect_shape(migraphx::shape{migraphx::shape::float_type, {1, 1}, {0, 0}},
90
                     migraphx::make_op("broadcast", {{"axis", 0}, {"out_lens", lens}}),
Shucai Xiao's avatar
Shucai Xiao committed
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
                     input);
    }

    {
        std::vector<std::size_t> lens{1, 1};
        migraphx::shape input{migraphx::shape::float_type, {2}};
        throws_shape(migraphx::op::broadcast{1, lens}, input);
    }

    {
        std::vector<std::size_t> lens{2, 2};
        migraphx::shape input{migraphx::shape::float_type, {1, 2}};
        throws_shape(migraphx::op::broadcast{1, lens}, input);
    }

    {
        std::vector<std::size_t> lens{3, 2, 4, 3};
        migraphx::shape input{migraphx::shape::float_type, {4, 3}};
        expect_shape(migraphx::shape{migraphx::shape::float_type, {3, 2, 4, 3}, {0, 0, 3, 1}},
110
                     migraphx::make_op("broadcast", {{"axis", 2}, {"out_lens", lens}}),
Shucai Xiao's avatar
Shucai Xiao committed
111
112
113
114
115
116
                     input);
    }

    {
        std::vector<std::size_t> lens{3, 2, 4, 3};
        migraphx::shape input{migraphx::shape::float_type, {4, 4}};
117
        throws_shape(migraphx::make_op("broadcast", {{"axis", 2}, {"out_lens", lens}}), input);
Shucai Xiao's avatar
Shucai Xiao committed
118
119
120
    }
}

Paul's avatar
Paul committed
121
TEST_CASE(convolution_shape)
122
{
Paul's avatar
Paul committed
123
124
125
    migraphx::shape output{migraphx::shape::float_type, {4, 4, 1, 1}};
    migraphx::shape input{migraphx::shape::float_type, {4, 3, 3, 3}};
    migraphx::shape weights{migraphx::shape::float_type, {4, 3, 3, 3}};
126
127
128
129
130
    expect_shape(output, migraphx::make_op("convolution"), input, weights);
    throws_shape(migraphx::make_op("convolution"), input);
    throws_shape(
        migraphx::make_op("convolution", {{"padding", {0}}, {"stride", {1}}, {"dilation", {1}}}),
        input);
Paul's avatar
Paul committed
131
132
133

    migraphx::shape input2{migraphx::shape::float_type, {3, 3}};
    migraphx::shape weights2{migraphx::shape::float_type, {3, 3}};
134
135
    throws_shape(migraphx::make_op("convolution"), input2, weights2);
    throws_shape(migraphx::make_op("convolution"), input2, weights);
136

137
    // 1D convolution
138
139
140
    migraphx::shape output_1d{migraphx::shape::float_type, {4, 4, 1}};
    migraphx::shape input_1d{migraphx::shape::float_type, {4, 3, 3}};
    migraphx::shape weights_1d{migraphx::shape::float_type, {4, 3, 3}};
141
142
143
144
145
    expect_shape(
        output_1d,
        migraphx::make_op("convolution", {{"padding", {0}}, {"stride", {1}}, {"dilation", {1}}}),
        input_1d,
        weights_1d);
146

147
148
149
150
151
    // channel numbers mismatch
    weights_1d = {migraphx::shape::float_type, {4, 8, 3}};
    throws_shape(migraphx::make_op("convolution"), input_1d, weights_1d);

    // 3D convolution
152
153
154
    migraphx::shape output_3d{migraphx::shape::float_type, {4, 4, 1, 1, 1}};
    migraphx::shape input_3d{migraphx::shape::float_type, {4, 3, 3, 3, 3}};
    migraphx::shape weights_3d{migraphx::shape::float_type, {4, 3, 3, 3, 3}};
155
156
157
158
159
160
161
162
    expect_shape(
        output_3d,
        migraphx::make_op("convolution",
                          {{"padding", {0, 0, 0}}, {"stride", {1, 1, 1}}, {"dilation", {1, 1, 1}}}),
        input_3d,
        weights_3d);

    throws_shape(migraphx::make_op("convolution"), input_3d, weights_3d);
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286

    // dynamic batch
    migraphx::shape input_dyn_shape{migraphx::shape::float_type,
                                    {{1, 100, 0}, {3, 3, 0}, {5, 5, 0}, {5, 5, 0}}};
    migraphx::shape weights_shape{migraphx::shape::float_type, {1, 3, 3, 3}};
    migraphx::shape output_dyn_shape{migraphx::shape::float_type,
                                     {{
                                          1,
                                          100,
                                          0,
                                      },
                                      {1, 1, 0},
                                      {3, 3, 0},
                                      {3, 3, 0}}};
    expect_shape(output_dyn_shape,
                 migraphx::make_op("convolution",
                                   {{"padding", {0, 0}}, {"stride", {1, 1}}, {"dilation", {1, 1}}}),
                 input_dyn_shape,
                 weights_shape);

    // dynamic image
    input_dyn_shape = {migraphx::shape::float_type, {{1, 1, 0}, {3, 3, 0}, {5, 20, 0}, {5, 20, 0}}};
    weights_shape   = {migraphx::shape::float_type, {1, 3, 3, 3}};
    output_dyn_shape = {migraphx::shape::float_type,
                        {{
                             1,
                             1,
                             0,
                         },
                         {1, 1, 0},
                         {3, 18, 0},
                         {3, 18, 0}}};
    expect_shape(output_dyn_shape,
                 migraphx::make_op("convolution",
                                   {{"padding", {0, 0}}, {"stride", {1, 1}}, {"dilation", {1, 1}}}),
                 input_dyn_shape,
                 weights_shape);

    // dynamic weights
    input_dyn_shape  = {migraphx::shape::float_type, {1, 3, 10, 10}};
    weights_shape    = {migraphx::shape::float_type, {{1, 1, 0}, {3, 3, 0}, {2, 4, 0}, {2, 4, 0}}};
    output_dyn_shape = {migraphx::shape::float_type,
                        {{
                             1,
                             1,
                             0,
                         },
                         {1, 1, 0},
                         {7, 9, 0},
                         {7, 9, 0}}};
    expect_shape(output_dyn_shape,
                 migraphx::make_op("convolution",
                                   {{"padding", {0, 0}}, {"stride", {1, 1}}, {"dilation", {1, 1}}}),
                 input_dyn_shape,
                 weights_shape);

    // dynamic img and weights
    input_dyn_shape = {migraphx::shape::float_type, {{1, 1, 0}, {3, 3, 0}, {5, 20, 0}, {5, 20, 0}}};
    weights_shape   = {migraphx::shape::float_type, {{1, 1, 0}, {3, 3, 0}, {2, 4, 0}, {2, 4, 0}}};
    output_dyn_shape = {migraphx::shape::float_type,
                        {{
                             1,
                             1,
                             0,
                         },
                         {1, 1, 0},
                         {2, 19, 0},
                         {2, 19, 0}}};
    expect_shape(output_dyn_shape,
                 migraphx::make_op("convolution",
                                   {{"padding", {0, 0}}, {"stride", {1, 1}}, {"dilation", {1, 1}}}),
                 input_dyn_shape,
                 weights_shape);

    // input attr shape mismatch
    input_dyn_shape = {migraphx::shape::float_type,
                       {{1, 100, 0}, {3, 3, 0}, {5, 5, 0}, {5, 5, 0}, {5, 5, 0}}};
    weights_shape   = {migraphx::shape::float_type, {1, 3, 3, 3, 3}};
    throws_shape(migraphx::make_op("convolution",
                                   {{"padding", {0, 0}}, {"stride", {1, 1}}, {"dilation", {1, 1}}}),
                 input_dyn_shape,
                 weights_shape);

    // auto_pad dynamic batch
    input_dyn_shape  = {migraphx::shape::float_type, {{1, 10, 0}, {3, 3, 0}, {5, 5, 0}, {5, 5, 0}}};
    weights_shape    = {migraphx::shape::float_type, {1, 3, 3, 3}};
    output_dyn_shape = {migraphx::shape::float_type, {{1, 10, 0}, {1, 1, 0}, {5, 5, 0}, {5, 5, 0}}};
    expect_shape(output_dyn_shape,
                 migraphx::make_op("convolution",
                                   {{"stride", {1, 1}},
                                    {"dilation", {1, 1}},
                                    {"padding_mode", migraphx::op::padding_mode_t::same_upper},
                                    {"use_dynamic_same_auto_pad", true}}),
                 input_dyn_shape,
                 weights_shape);

    // auto_pad dynamic img
    input_dyn_shape = {migraphx::shape::float_type, {{1, 1, 0}, {3, 3, 0}, {5, 10, 0}, {5, 10, 0}}};
    weights_shape   = {migraphx::shape::float_type, {1, 3, 3, 3}};
    output_dyn_shape = {migraphx::shape::float_type,
                        {{1, 1, 0}, {1, 1, 0}, {5, 10, 0}, {5, 10, 0}}};
    expect_shape(output_dyn_shape,
                 migraphx::make_op("convolution",
                                   {{"stride", {1, 1}},
                                    {"dilation", {1, 1}},
                                    {"padding_mode", migraphx::op::padding_mode_t::same_upper},
                                    {"use_dynamic_same_auto_pad", true}}),
                 input_dyn_shape,
                 weights_shape);

    // auto_pad dynamic kernel
    input_dyn_shape  = {migraphx::shape::float_type,
                       {{1, 1, 0}, {3, 3, 0}, {10, 10, 0}, {10, 10, 0}}};
    weights_shape    = {migraphx::shape::float_type, {{1, 1, 0}, {3, 3, 0}, {2, 4, 0}, {2, 4, 0}}};
    output_dyn_shape = {migraphx::shape::float_type,
                        {{1, 1, 0}, {1, 1, 0}, {10, 10, 0}, {10, 10, 0}}};
    expect_shape(output_dyn_shape,
                 migraphx::make_op("convolution",
                                   {{"stride", {1, 1}},
                                    {"dilation", {1, 1}},
                                    {"padding_mode", migraphx::op::padding_mode_t::same_lower},
                                    {"use_dynamic_same_auto_pad", true}}),
                 input_dyn_shape,
                 weights_shape);
287
288
}

Shucai Xiao's avatar
Shucai Xiao committed
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
TEST_CASE(contiguous_shape)
{
    migraphx::shape output{migraphx::shape::float_type, {2, 2}};
    migraphx::shape input{migraphx::shape::float_type, {2, 2}, {1, 2}};
    expect_shape(output, migraphx::make_op("contiguous"), input);
    throws_shape(migraphx::make_op("contiguous"), input, input);

    migraphx::shape single{migraphx::shape::float_type, {2}};
    expect_shape(single, migraphx::make_op("contiguous"), single);
}

TEST_CASE(contiguous_shape_scalar)
{
    migraphx::shape output{migraphx::shape::float_type};
    migraphx::shape input{migraphx::shape::float_type};
    expect_shape(output, migraphx::make_op("contiguous"), input);
}

kahmed10's avatar
kahmed10 committed
307
308
309
310
311
TEST_CASE(deconvolution_shape)
{
    migraphx::shape input{migraphx::shape::float_type, {4, 4, 1, 1}};
    migraphx::shape output{migraphx::shape::float_type, {4, 3, 3, 3}};
    migraphx::shape weights{migraphx::shape::float_type, {4, 3, 3, 3}};
312
313
314
315
316
    expect_shape(output, migraphx::make_op("deconvolution"), input, weights);
    throws_shape(migraphx::make_op("deconvolution"), input);
    throws_shape(
        migraphx::make_op("deconvolution", {{"padding", {0}}, {"stride", {1}}, {"dilation", {1}}}),
        input);
kahmed10's avatar
kahmed10 committed
317
318
319
320

    migraphx::shape input_1d{migraphx::shape::float_type, {4, 4, 1}};
    migraphx::shape output_1d{migraphx::shape::float_type, {4, 3, 3}};
    migraphx::shape weights_1d{migraphx::shape::float_type, {4, 3, 3}};
321
322
323
324
325
    expect_shape(
        output_1d,
        migraphx::make_op("deconvolution", {{"padding", {0}}, {"stride", {1}}, {"dilation", {1}}}),
        input_1d,
        weights_1d);
kahmed10's avatar
kahmed10 committed
326
327
328
329

    migraphx::shape input_3d{migraphx::shape::float_type, {4, 4, 1, 1, 1}};
    migraphx::shape output_3d{migraphx::shape::float_type, {4, 3, 3, 3, 3}};
    migraphx::shape weights_3d{migraphx::shape::float_type, {4, 3, 3, 3, 3}};
330
331
332
333
334
335
    expect_shape(
        output_3d,
        migraphx::make_op("deconvolution",
                          {{"padding", {0, 0, 0}}, {"stride", {1, 1, 1}}, {"dilation", {1, 1, 1}}}),
        input_3d,
        weights_3d);
kahmed10's avatar
kahmed10 committed
336
337
}

Paul's avatar
Paul committed
338
TEST_CASE(flatten_shape)
339
{
Paul's avatar
Paul committed
340
341
    migraphx::shape input{migraphx::shape::float_type, {2, 4, 6, 8}};
    expect_shape(migraphx::shape{migraphx::shape::float_type, {1, 2 * 4 * 6 * 8}},
342
                 migraphx::make_op("flatten", {{"axis", 0}}),
Scott Thornton's avatar
Scott Thornton committed
343
                 input);
344
    expect_shape(migraphx::shape{migraphx::shape::float_type, {1, 2 * 4 * 6 * 8}},
345
                 migraphx::make_op("flatten", {{"axis", -4}}),
346
                 input);
Paul's avatar
Paul committed
347
    expect_shape(migraphx::shape{migraphx::shape::float_type, {2, 4 * 6 * 8}},
348
                 migraphx::make_op("flatten", {{"axis", 1}}),
Paul's avatar
Paul committed
349
                 input);
350
    expect_shape(migraphx::shape{migraphx::shape::float_type, {2, 4 * 6 * 8}},
351
                 migraphx::make_op("flatten", {{"axis", -3}}),
352
                 input);
Paul's avatar
Paul committed
353
    expect_shape(migraphx::shape{migraphx::shape::float_type, {2 * 4, 6 * 8}},
354
                 migraphx::make_op("flatten", {{"axis", 2}}),
Paul's avatar
Paul committed
355
356
                 input);
    expect_shape(migraphx::shape{migraphx::shape::float_type, {2 * 4 * 6, 8}},
357
                 migraphx::make_op("flatten", {{"axis", 3}}),
Paul's avatar
Paul committed
358
                 input);
Paul's avatar
Paul committed
359
    expect_shape(migraphx::shape{migraphx::shape::float_type, {2 * 4 * 6 * 8, 1}},
360
                 migraphx::make_op("flatten", {{"axis", 4}}),
Scott Thornton's avatar
Scott Thornton committed
361
                 input);
362
363
    throws_shape(migraphx::make_op("flatten", {{"axis", 5}}), input);
    throws_shape(migraphx::make_op("flatten", {{"axis", -5}}), input);
364
365
}

Shucai Xiao's avatar
Shucai Xiao committed
366
TEST_CASE(gather)
Scott Thornton's avatar
Scott Thornton committed
367
{
Shucai Xiao's avatar
Shucai Xiao committed
368
369
370
371
372
373
374
375
376
    {
        migraphx::shape input{migraphx::shape::float_type, {2, 3, 4, 5}};
        migraphx::shape indices{migraphx::shape::int32_type, {2, 3}};
        int axis = 1;
        expect_shape(migraphx::shape{migraphx::shape::float_type, {2, 2, 3, 4, 5}},
                     migraphx::make_op("gather", {{"axis", axis}}),
                     input,
                     indices);
    }
Scott Thornton's avatar
Scott Thornton committed
377
378

    {
Shucai Xiao's avatar
Shucai Xiao committed
379
380
381
382
383
384
385
        migraphx::shape input{migraphx::shape::float_type, {2, 3, 4, 5}};
        migraphx::shape indices{migraphx::shape::int32_type, {2, 3}};
        int axis = -4;
        expect_shape(migraphx::shape{migraphx::shape::float_type, {2, 3, 3, 4, 5}},
                     migraphx::make_op("gather", {{"axis", axis}}),
                     input,
                     indices);
Scott Thornton's avatar
Scott Thornton committed
386
    }
Shucai Xiao's avatar
Shucai Xiao committed
387

Scott Thornton's avatar
Scott Thornton committed
388
    {
Shucai Xiao's avatar
Shucai Xiao committed
389
390
391
392
393
394
395
        migraphx::shape input{migraphx::shape::float_type, {2, 3, 4, 5}};
        migraphx::shape indices{migraphx::shape::int32_type, {1}};
        int axis = -4;
        expect_shape(migraphx::shape{migraphx::shape::float_type, {1, 3, 4, 5}},
                     migraphx::make_op("gather", {{"axis", axis}}),
                     input,
                     indices);
Scott Thornton's avatar
Scott Thornton committed
396
    }
Shucai Xiao's avatar
Shucai Xiao committed
397

Scott Thornton's avatar
Scott Thornton committed
398
    {
Shucai Xiao's avatar
Shucai Xiao committed
399
400
401
402
403
404
405
        migraphx::shape input{migraphx::shape::float_type, {2, 3, 4, 5}};
        migraphx::shape indices{migraphx::shape::int32_type};
        int axis = -4;
        expect_shape(migraphx::shape{migraphx::shape::float_type, {3, 4, 5}},
                     migraphx::make_op("gather", {{"axis", axis}}),
                     input,
                     indices);
Scott Thornton's avatar
Scott Thornton committed
406
    }
Shucai Xiao's avatar
Shucai Xiao committed
407

408
409
    {
        migraphx::shape input{migraphx::shape::float_type, {2, 3, 4, 5}};
410
        migraphx::shape indices{migraphx::shape::int32_type};
411
412
        int axis = 3;
        expect_shape(migraphx::shape{migraphx::shape::float_type, {2, 3, 4}},
413
                     migraphx::make_op("gather", {{"axis", axis}}),
414
415
416
417
418
419
                     input,
                     indices);
    }

    {
        migraphx::shape input{migraphx::shape::float_type, {3}};
420
        migraphx::shape indices{migraphx::shape::int32_type};
421
        int axis = 0;
422
        expect_shape(migraphx::shape{migraphx::shape::float_type},
423
                     migraphx::make_op("gather", {{"axis", axis}}),
424
425
426
427
428
429
430
431
432
                     input,
                     indices);
    }

    {
        migraphx::shape input{migraphx::shape::float_type, {3}};
        migraphx::shape indices{migraphx::shape::int32_type, {1}};
        int axis = 0;
        expect_shape(migraphx::shape{migraphx::shape::float_type, {1}},
433
                     migraphx::make_op("gather", {{"axis", axis}}),
434
435
436
437
                     input,
                     indices);
    }

438
439
440
    {
        migraphx::shape input{migraphx::shape::float_type, {2, 3, 4, 5}};
        migraphx::shape indices{migraphx::shape::int32_type, {2, 3}};
441
        int axis = 4;
442
        throws_shape(migraphx::make_op("gather", {{"axis", axis}}), input, indices);
443
    }
444
445
446
447
448

    {
        migraphx::shape input{migraphx::shape::float_type, {2, 3, 4, 5}};
        migraphx::shape indices{migraphx::shape::int32_type, {2, 3}};
        int axis = -5;
449
        throws_shape(migraphx::make_op("gather", {{"axis", axis}}), input, indices);
450
    }
451
452
}

Shucai Xiao's avatar
Shucai Xiao committed
453
454
// 3 input arguments
TEST_CASE(gemm)
455
456
{
    {
Shucai Xiao's avatar
Shucai Xiao committed
457
        migraphx::shape s_m1{migraphx::shape::float_type, {4, 5}};
458
459
        migraphx::shape s_m2{migraphx::shape::float_type, {10, 8}};
        throws_shape(migraphx::make_op("dot"), s_m1, s_m2);
Shucai Xiao's avatar
Shucai Xiao committed
460
461
462
    }

    {
Shucai Xiao's avatar
Shucai Xiao committed
463
464
        migraphx::shape s_m1{migraphx::shape::float_type, {4, 6}};
        migraphx::shape s_m2{migraphx::shape::float_type, {5, 8}};
465
        throws_shape(migraphx::make_op("dot"), s_m1, s_m2);
466
467
468
    }

    {
Shucai Xiao's avatar
Shucai Xiao committed
469
470
471
472
473
        migraphx::shape s_m1{migraphx::shape::float_type, {4, 5}};
        migraphx::shape s_m2{migraphx::shape::float_type, {5, 8}};
        expect_shape(migraphx::shape{migraphx::shape::float_type, {4, 8}},
                     migraphx::make_op("dot"),
                     s_m1,
474
                     s_m2);
475
476
477
    }

    {
Shucai Xiao's avatar
Shucai Xiao committed
478
479
480
481
482
        migraphx::shape s_m1{migraphx::shape::float_type, {1, 4, 5}};
        migraphx::shape s_m2{migraphx::shape::float_type, {1, 5, 8}};
        expect_shape(migraphx::shape{migraphx::shape::float_type, {1, 4, 8}},
                     migraphx::make_op("dot"),
                     s_m1,
483
                     s_m2);
484
485
486
    }

    {
Shucai Xiao's avatar
Shucai Xiao committed
487
        migraphx::shape s_m1{migraphx::shape::float_type, {1, 4, 6}};
488
489
        migraphx::shape s_m2{migraphx::shape::float_type, {2, 5, 8}};
        throws_shape(migraphx::make_op("dot"), s_m1, s_m2);
490
    }
Shucai Xiao's avatar
Shucai Xiao committed
491
}
492

Shucai Xiao's avatar
Shucai Xiao committed
493
TEST_CASE(get_tuple_elem_test)
494
{
Shucai Xiao's avatar
Shucai Xiao committed
495
496
497
498
499
500
501
502
503
504
505
506
    migraphx::shape s0{migraphx::shape::bool_type, {1, 1}};
    migraphx::shape s1{migraphx::shape::float_type, {2, 3}};
    migraphx::shape s2{migraphx::shape::int32_type, {5, 6}};
    migraphx::shape s_tuple({s0, s1, s2});

    expect_shape(s0, migraphx::make_op("get_tuple_elem", {{"index", 0}}), s_tuple);
    expect_shape(s1, migraphx::make_op("get_tuple_elem", {{"index", 1}}), s_tuple);
    expect_shape(s2, migraphx::make_op("get_tuple_elem", {{"index", 2}}), s_tuple);
    throws_shape(migraphx::make_op("get_tuple_elem", {{"index", 3}}), s_tuple);
    throws_shape(migraphx::make_op("get_tuple_elem", {{"index", 0}}), s0);
    throws_shape(migraphx::make_op("get_tuple_elem", {{"index", 1}}), s1);
    throws_shape(migraphx::make_op("get_tuple_elem", {{"index", 0}}), s2);
507
508
}

Shucai Xiao's avatar
Shucai Xiao committed
509
TEST_CASE(gru)
510
{
Shucai Xiao's avatar
Shucai Xiao committed
511
512
513
514
515
516
517
    {
        std::size_t batch_size  = 2;
        std::size_t seq_len     = 2;
        std::size_t hidden_size = 4;
        std::size_t input_size  = 3;
        std::size_t num_dirct   = 1;
        float clip              = 0.0f;
518

Shucai Xiao's avatar
Shucai Xiao committed
519
520
521
522
523
524
525
        migraphx::shape in_shape{migraphx::shape::float_type, {seq_len, batch_size, input_size}};
        migraphx::shape w_shape{migraphx::shape::float_type,
                                {num_dirct, 3 * hidden_size, input_size}};
        migraphx::shape r_shape{migraphx::shape::float_type,
                                {num_dirct, 3 * hidden_size, hidden_size}};
        migraphx::shape b_shape{migraphx::shape::float_type, {num_dirct, 6 * hidden_size}};
        migraphx::shape ih_shape{migraphx::shape::float_type, {num_dirct, batch_size, hidden_size}};
526

Shucai Xiao's avatar
Shucai Xiao committed
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
        expect_shape(
            migraphx::shape{migraphx::shape::float_type,
                            {seq_len, num_dirct, batch_size, hidden_size}},
            migraphx::make_op(
                "gru",
                {{"hidden_size", hidden_size},
                 {"actv_func",
                  migraphx::to_value(std::vector<migraphx::operation>{migraphx::make_op("tanh")})},
                 {"direction", migraphx::to_value(migraphx::op::rnn_direction::forward)},
                 {"clip", clip}}),
            in_shape,
            w_shape,
            r_shape,
            b_shape,
            ih_shape);
    }
543

Shucai Xiao's avatar
Shucai Xiao committed
544
545
546
547
548
549
550
    {
        std::size_t batch_size  = 2;
        std::size_t seq_len     = 2;
        std::size_t hidden_size = 4;
        std::size_t input_size  = 3;
        std::size_t num_dirct   = 1;
        float clip              = 0.0f;
551

Shucai Xiao's avatar
Shucai Xiao committed
552
553
554
555
556
557
558
        migraphx::shape in_shape{migraphx::shape::float_type, {seq_len, batch_size, input_size}};
        migraphx::shape w_shape{migraphx::shape::float_type,
                                {num_dirct, 3 * hidden_size, input_size}};
        migraphx::shape r_shape{migraphx::shape::float_type,
                                {num_dirct, 3 * hidden_size, hidden_size}};
        migraphx::shape b_shape{migraphx::shape::float_type, {num_dirct, 6 * hidden_size}};
        migraphx::shape ih_shape{migraphx::shape::float_type, {num_dirct, batch_size, hidden_size}};
559

Shucai Xiao's avatar
Shucai Xiao committed
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
        expect_shape(
            migraphx::shape{migraphx::shape::float_type,
                            {seq_len, num_dirct, batch_size, hidden_size}},
            migraphx::make_op(
                "gru",
                {{"hidden_size", hidden_size},
                 {"actv_func",
                  migraphx::to_value(std::vector<migraphx::operation>{migraphx::make_op("tanh")})},
                 {"direction", migraphx::to_value(migraphx::op::rnn_direction::reverse)},
                 {"clip", clip}}),
            in_shape,
            w_shape,
            r_shape,
            b_shape,
            ih_shape);
    }
576

Shucai Xiao's avatar
Shucai Xiao committed
577
578
579
580
581
582
583
    {
        std::size_t batch_size  = 2;
        std::size_t seq_len     = 2;
        std::size_t hidden_size = 4;
        std::size_t input_size  = 3;
        std::size_t num_dirct   = 2;
        float clip              = 0.0f;
584

Shucai Xiao's avatar
Shucai Xiao committed
585
586
587
588
589
590
591
        migraphx::shape in_shape{migraphx::shape::float_type, {seq_len, batch_size, input_size}};
        migraphx::shape w_shape{migraphx::shape::float_type,
                                {num_dirct, 3 * hidden_size, input_size}};
        migraphx::shape r_shape{migraphx::shape::float_type,
                                {num_dirct, 3 * hidden_size, hidden_size}};
        migraphx::shape b_shape{migraphx::shape::float_type, {num_dirct, 6 * hidden_size}};
        migraphx::shape ih_shape{migraphx::shape::float_type, {num_dirct, batch_size, hidden_size}};
592

Shucai Xiao's avatar
Shucai Xiao committed
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
        expect_shape(
            migraphx::shape{migraphx::shape::float_type,
                            {seq_len, num_dirct, batch_size, hidden_size}},
            migraphx::make_op(
                "gru",
                {{"hidden_size", hidden_size},
                 {"actv_func",
                  migraphx::to_value(std::vector<migraphx::operation>{migraphx::make_op("tanh")})},
                 {"direction", migraphx::to_value(migraphx::op::rnn_direction::bidirectional)},
                 {"clip", clip}}),
            in_shape,
            w_shape,
            r_shape,
            b_shape,
            ih_shape);
    }

    {
        std::size_t batch_size  = 2;
        std::size_t seq_len     = 2;
        std::size_t hidden_size = 4;
        std::size_t input_size  = 3;
        std::size_t num_dirct   = 1;
        float clip              = 0.0f;

        migraphx::shape in_shape{migraphx::shape::float_type, {seq_len, batch_size, input_size}};
        migraphx::shape w_shape{migraphx::shape::float_type,
                                {num_dirct, 3 * hidden_size, input_size}};
        migraphx::shape r_shape{migraphx::shape::float_type,
                                {num_dirct, 3 * hidden_size, hidden_size}};
        migraphx::shape b_shape{migraphx::shape::float_type, {num_dirct, 6 * hidden_size}};
        migraphx::shape ih_shape{migraphx::shape::float_type, {num_dirct, batch_size, hidden_size}};

        throws_shape(
            migraphx::make_op(
                "gru",
                {{"hidden_size", hidden_size + 1},
                 {"actv_func",
                  migraphx::to_value(std::vector<migraphx::operation>{migraphx::make_op("tanh")})},
                 {"direction", migraphx::to_value(migraphx::op::rnn_direction::forward)},
                 {"clip", clip}}),
            in_shape,
            w_shape,
            r_shape,
            b_shape,
            ih_shape);
    }

    {
        std::size_t batch_size  = 2;
        std::size_t seq_len     = 2;
        std::size_t hidden_size = 4;
        std::size_t input_size  = 3;
        std::size_t num_dirct   = 1;
        float clip              = 0.0f;

        migraphx::shape in_shape{migraphx::shape::float_type, {seq_len, batch_size, input_size}};
        migraphx::shape w_shape{migraphx::shape::float_type,
                                {num_dirct, 3 * hidden_size, input_size}};
        migraphx::shape r_shape{migraphx::shape::float_type,
                                {num_dirct, 3 * hidden_size, hidden_size}};
        migraphx::shape b_shape{migraphx::shape::float_type, {num_dirct, 6 * hidden_size}};
        migraphx::shape ih_shape{migraphx::shape::float_type, {num_dirct, batch_size, hidden_size}};

        throws_shape(
            migraphx::make_op(
                "gru",
                {{"hidden_size", hidden_size},
                 {"actv_func",
                  migraphx::to_value(std::vector<migraphx::operation>{migraphx::make_op("tanh")})},
                 {"direction", migraphx::to_value(migraphx::op::rnn_direction::bidirectional)},
                 {"clip", clip}}),
            in_shape,
            w_shape,
            r_shape,
            b_shape,
            ih_shape);
    }

    {
        std::size_t batch_size  = 2;
        std::size_t seq_len     = 2;
        std::size_t hidden_size = 4;
        std::size_t input_size  = 3;
        std::size_t num_dirct   = 2;
        float clip              = 0.0f;

        migraphx::shape in_shape{migraphx::shape::float_type, {seq_len, batch_size, input_size}};
        migraphx::shape w_shape{migraphx::shape::float_type,
                                {num_dirct, 3 * hidden_size, input_size}};
        migraphx::shape r_shape{migraphx::shape::float_type,
                                {num_dirct, 3 * hidden_size, hidden_size}};
        migraphx::shape b_shape{migraphx::shape::float_type, {num_dirct, 6 * hidden_size}};
        migraphx::shape ih_shape{migraphx::shape::float_type, {num_dirct, batch_size, hidden_size}};

        throws_shape(
            migraphx::make_op(
                "gru",
                {{"hidden_size", hidden_size},
                 {"actv_func",
                  migraphx::to_value(std::vector<migraphx::operation>{migraphx::make_op("tanh")})},
                 {"direction", migraphx::to_value(migraphx::op::rnn_direction::forward)},
                 {"clip", clip}}),
            in_shape,
            w_shape,
            r_shape,
            b_shape,
            ih_shape);
    }
702
703
}

Shucai Xiao's avatar
Shucai Xiao committed
704
TEST_CASE(inconsistent_attr_shape)
705
{
Shucai Xiao's avatar
Shucai Xiao committed
706
707
708
709
710
711
712
713
714
715
    migraphx::shape input{migraphx::shape::float_type, {4, 3, 3, 3}};
    migraphx::shape weights{migraphx::shape::float_type, {4, 3, 3, 3}};
    throws_shape(migraphx::make_op("convolution",
                                   {{"padding", {1, 1}}, {"stride", {2}}, {"dilation", {3, 3, 3}}}),
                 input,
                 weights);
    throws_shape(migraphx::make_op("deconvolution",
                                   {{"padding", {1, 1}}, {"stride", {2}}, {"dilation", {3, 3, 3}}}),
                 input,
                 weights);
716
717
718
719
720
721
    throws_shape(migraphx::make_op("pooling",
                                   {{"mode", migraphx::op::pooling_mode::max},
                                    {"padding", {1}},
                                    {"stride", {0}},
                                    {"lengths", {1, 1}}}),
                 input);
722
723
}

Shucai Xiao's avatar
Shucai Xiao committed
724
template <class T>
Shucai Xiao's avatar
Shucai Xiao committed
725
void test_softmax_variations()
Shucai Xiao's avatar
Shucai Xiao committed
726
{
727
728
    {
        migraphx::shape input{migraphx::shape::float_type, {2, 3, 4, 5}};
Shucai Xiao's avatar
Shucai Xiao committed
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
795
796
797
798
799
800
801
802
803
804
805
806
807
808
809
810
811
812
813
814
815
816
        expect_shape(migraphx::shape{migraphx::shape::float_type, {2, 3, 4, 5}}, T{0}, input);
    }

    {
        migraphx::shape input{migraphx::shape::float_type, {2, 3, 4, 5}};
        expect_shape(migraphx::shape{migraphx::shape::float_type, {2, 3, 4, 5}}, T{1}, input);
    }

    {
        migraphx::shape input{migraphx::shape::float_type, {2, 3, 4, 5}};
        expect_shape(migraphx::shape{migraphx::shape::float_type, {2, 3, 4, 5}}, T{2}, input);
    }

    {
        migraphx::shape input{migraphx::shape::float_type, {2, 3, 4, 5}};
        expect_shape(migraphx::shape{migraphx::shape::float_type, {2, 3, 4, 5}}, T{3}, input);
    }

    {
        migraphx::shape input{migraphx::shape::float_type, {2, 3, 4, 5}};
        int axis = 4;
        throws_shape(T{axis}, input);
    }
}
TEST_CASE(logsoftmax) { test_softmax_variations<migraphx::op::logsoftmax>(); }

TEST_CASE(lstm)
{
    {
        std::size_t batch_size  = 2;
        std::size_t seq_len     = 2;
        std::size_t hidden_size = 4;
        std::size_t input_size  = 3;
        std::size_t num_dirct   = 1;
        float clip              = 0.0f;

        migraphx::shape in_shape{migraphx::shape::float_type, {seq_len, batch_size, input_size}};
        migraphx::shape w_shape{migraphx::shape::float_type,
                                {num_dirct, 3 * hidden_size, input_size}};
        migraphx::shape r_shape{migraphx::shape::float_type,
                                {num_dirct, 3 * hidden_size, hidden_size}};

        expect_shape(
            migraphx::shape{migraphx::shape::float_type,
                            {seq_len, num_dirct, batch_size, hidden_size}},
            migraphx::make_op(
                "lstm",
                {{"hidden_size", hidden_size},
                 {"actv_func",
                  migraphx::to_value(std::vector<migraphx::operation>{migraphx::make_op("tanh")})},
                 {"direction", migraphx::to_value(migraphx::op::rnn_direction::forward)},
                 {"clip", clip}}),
            in_shape,
            w_shape,
            r_shape);
    }

    {
        std::size_t batch_size  = 2;
        std::size_t seq_len     = 2;
        std::size_t hidden_size = 4;
        std::size_t input_size  = 3;
        std::size_t num_dirct   = 1;
        float clip              = 0.0f;

        migraphx::shape in_shape{migraphx::shape::float_type, {seq_len, batch_size, input_size}};
        migraphx::shape w_shape{migraphx::shape::float_type,
                                {num_dirct, 3 * hidden_size, input_size}};
        migraphx::shape r_shape{migraphx::shape::float_type,
                                {num_dirct, 3 * hidden_size, hidden_size}};
        migraphx::shape b_shape{migraphx::shape::float_type, {num_dirct, 6 * hidden_size}};
        migraphx::shape ih_shape{migraphx::shape::float_type, {num_dirct, batch_size, hidden_size}};

        expect_shape(
            migraphx::shape{migraphx::shape::float_type,
                            {seq_len, num_dirct, batch_size, hidden_size}},
            migraphx::make_op(
                "lstm",
                {{"hidden_size", hidden_size},
                 {"actv_func",
                  migraphx::to_value(std::vector<migraphx::operation>{migraphx::make_op("tanh")})},
                 {"direction", migraphx::to_value(migraphx::op::rnn_direction::reverse)},
                 {"clip", clip}}),
            in_shape,
            w_shape,
            r_shape,
            b_shape,
            ih_shape);
817
818
819
    }

    {
Shucai Xiao's avatar
Shucai Xiao committed
820
821
822
823
824
825
826
827
828
829
830
831
832
833
834
        std::size_t batch_size  = 2;
        std::size_t seq_len     = 2;
        std::size_t hidden_size = 4;
        std::size_t input_size  = 3;
        std::size_t num_dirct   = 2;
        float clip              = 0.0f;

        migraphx::shape in_shape{migraphx::shape::float_type, {seq_len, batch_size, input_size}};
        migraphx::shape w_shape{migraphx::shape::float_type,
                                {num_dirct, 3 * hidden_size, input_size}};
        migraphx::shape r_shape{migraphx::shape::float_type,
                                {num_dirct, 3 * hidden_size, hidden_size}};
        migraphx::shape b_shape{migraphx::shape::float_type, {num_dirct, 6 * hidden_size}};
        migraphx::shape ih_shape{migraphx::shape::float_type, {num_dirct, batch_size, hidden_size}};

Shucai Xiao's avatar
Shucai Xiao committed
835
        expect_shape(
Shucai Xiao's avatar
Shucai Xiao committed
836
837
838
839
840
841
842
843
844
845
846
847
848
849
            migraphx::shape{migraphx::shape::float_type,
                            {seq_len, num_dirct, batch_size, hidden_size}},
            migraphx::make_op(
                "lstm",
                {{"hidden_size", hidden_size},
                 {"actv_func",
                  migraphx::to_value(std::vector<migraphx::operation>{migraphx::make_op("tanh")})},
                 {"direction", migraphx::to_value(migraphx::op::rnn_direction::bidirectional)},
                 {"clip", clip}}),
            in_shape,
            w_shape,
            r_shape,
            b_shape,
            ih_shape);
Shucai Xiao's avatar
Shucai Xiao committed
850
    }
Shucai Xiao's avatar
Shucai Xiao committed
851

Shucai Xiao's avatar
Shucai Xiao committed
852
    {
Shucai Xiao's avatar
Shucai Xiao committed
853
854
855
856
857
858
859
860
861
862
863
864
865
866
867
868
869
870
871
872
873
874
875
876
877
878
879
880
        std::size_t batch_size  = 2;
        std::size_t seq_len     = 2;
        std::size_t hidden_size = 4;
        std::size_t input_size  = 3;
        std::size_t num_dirct   = 1;
        float clip              = 0.0f;

        migraphx::shape in_shape{migraphx::shape::float_type, {seq_len, batch_size, input_size}};
        migraphx::shape w_shape{migraphx::shape::float_type,
                                {num_dirct, 3 * hidden_size, input_size}};
        migraphx::shape r_shape{migraphx::shape::float_type,
                                {num_dirct, 3 * hidden_size, hidden_size}};
        migraphx::shape b_shape{migraphx::shape::float_type, {num_dirct, 6 * hidden_size}};
        migraphx::shape ih_shape{migraphx::shape::float_type, {num_dirct, batch_size, hidden_size}};

        throws_shape(
            migraphx::make_op(
                "lstm",
                {{"hidden_size", hidden_size + 1},
                 {"actv_func",
                  migraphx::to_value(std::vector<migraphx::operation>{migraphx::make_op("tanh")})},
                 {"direction", migraphx::to_value(migraphx::op::rnn_direction::forward)},
                 {"clip", clip}}),
            in_shape,
            w_shape,
            r_shape,
            b_shape,
            ih_shape);
Shucai Xiao's avatar
Shucai Xiao committed
881
    }
Shucai Xiao's avatar
Shucai Xiao committed
882

883
    {
Shucai Xiao's avatar
Shucai Xiao committed
884
885
886
887
888
889
890
891
892
893
894
895
896
897
898
899
900
901
902
903
904
905
906
907
908
909
910
911
        std::size_t batch_size  = 2;
        std::size_t seq_len     = 2;
        std::size_t hidden_size = 4;
        std::size_t input_size  = 3;
        std::size_t num_dirct   = 1;
        float clip              = 0.0f;

        migraphx::shape in_shape{migraphx::shape::float_type, {seq_len, batch_size, input_size}};
        migraphx::shape w_shape{migraphx::shape::float_type,
                                {num_dirct, 3 * hidden_size, input_size}};
        migraphx::shape r_shape{migraphx::shape::float_type,
                                {num_dirct, 3 * hidden_size, hidden_size}};
        migraphx::shape b_shape{migraphx::shape::float_type, {num_dirct, 6 * hidden_size}};
        migraphx::shape ih_shape{migraphx::shape::float_type, {num_dirct, batch_size, hidden_size}};

        throws_shape(
            migraphx::make_op(
                "lstm",
                {{"hidden_size", hidden_size},
                 {"actv_func",
                  migraphx::to_value(std::vector<migraphx::operation>{migraphx::make_op("tanh")})},
                 {"direction", migraphx::to_value(migraphx::op::rnn_direction::bidirectional)},
                 {"clip", clip}}),
            in_shape,
            w_shape,
            r_shape,
            b_shape,
            ih_shape);
912
    }
Shucai Xiao's avatar
Shucai Xiao committed
913

914
    {
Shucai Xiao's avatar
Shucai Xiao committed
915
916
917
918
919
920
921
922
923
924
925
926
927
928
929
930
931
932
933
934
935
936
937
938
939
940
941
942
        std::size_t batch_size  = 2;
        std::size_t seq_len     = 2;
        std::size_t hidden_size = 4;
        std::size_t input_size  = 3;
        std::size_t num_dirct   = 2;
        float clip              = 0.0f;

        migraphx::shape in_shape{migraphx::shape::float_type, {seq_len, batch_size, input_size}};
        migraphx::shape w_shape{migraphx::shape::float_type,
                                {num_dirct, 3 * hidden_size, input_size}};
        migraphx::shape r_shape{migraphx::shape::float_type,
                                {num_dirct, 3 * hidden_size, hidden_size}};
        migraphx::shape b_shape{migraphx::shape::float_type, {num_dirct, 6 * hidden_size}};
        migraphx::shape ih_shape{migraphx::shape::float_type, {num_dirct, batch_size, hidden_size}};

        throws_shape(
            migraphx::make_op(
                "lstm",
                {{"hidden_size", hidden_size},
                 {"actv_func",
                  migraphx::to_value(std::vector<migraphx::operation>{migraphx::make_op("tanh")})},
                 {"direction", migraphx::to_value(migraphx::op::rnn_direction::forward)},
                 {"clip", clip}}),
            in_shape,
            w_shape,
            r_shape,
            b_shape,
            ih_shape);
943
944
945
    }
}

946
947
// 2 inputs arguments
TEST_CASE(matmul)
948
949
{
    {
950
951
        migraphx::shape s_m1{migraphx::shape::float_type, {5}};
        migraphx::shape s_m2{migraphx::shape::float_type, {5}};
952
        throws_shape(migraphx::make_op("dot"), s_m1, s_m2);
953
954
955
956
957
    }

    {
        migraphx::shape s_m1{migraphx::shape::float_type, {5}};
        migraphx::shape s_m2{migraphx::shape::float_type, {5, 2}};
958
        throws_shape(migraphx::make_op("dot"), s_m1, s_m2);
959
960
961
962
963
    }

    {
        migraphx::shape s_m1{migraphx::shape::float_type, {1, 5}};
        migraphx::shape s_m2{migraphx::shape::float_type, {5}};
964
        throws_shape(migraphx::make_op("dot"), s_m1, s_m2);
965
966
967
968
969
    }

    {
        migraphx::shape s_m1{migraphx::shape::float_type, {1, 5}};
        migraphx::shape s_m2{migraphx::shape::float_type, {5, 4}};
970
971
972
973
        expect_shape(migraphx::shape{migraphx::shape::float_type, {1, 4}},
                     migraphx::make_op("dot"),
                     s_m1,
                     s_m2);
974
975
976
    }

    {
977
978
        migraphx::shape s_m1{migraphx::shape::float_type, {1, 5}};
        migraphx::shape s_m2{migraphx::shape::float_type, {4, 4}};
979
        throws_shape(migraphx::make_op("dot"), s_m1, s_m2);
980
981
982
983
984
    }

    {
        migraphx::shape s_m1{migraphx::shape::float_type, {1, 5}};
        migraphx::shape s_m2{migraphx::shape::float_type, {6, 5, 4}};
985
        throws_shape(migraphx::make_op("dot"), s_m1, s_m2);
986
987
    }

988
989
990
    {
        migraphx::shape s_m1{migraphx::shape::float_type, {6, 1, 5}};
        migraphx::shape s_m2{migraphx::shape::float_type, {6, 5, 4}};
Shucai Xiao's avatar
Shucai Xiao committed
991
        expect_shape(migraphx::shape{migraphx::shape::float_type, {6, 1, 4}},
992
                     migraphx::make_op("dot"),
Shucai Xiao's avatar
Shucai Xiao committed
993
994
                     s_m1,
                     s_m2);
995
996
997
998
999
    }

    {
        migraphx::shape s_m1{migraphx::shape::float_type, {1, 6, 1, 5}};
        migraphx::shape s_m2{migraphx::shape::float_type, {1, 6, 5, 4}};
Shucai Xiao's avatar
Shucai Xiao committed
1000
        expect_shape(migraphx::shape{migraphx::shape::float_type, {1, 6, 1, 4}},
1001
                     migraphx::make_op("dot"),
Shucai Xiao's avatar
Shucai Xiao committed
1002
1003
                     s_m1,
                     s_m2);
1004
1005
1006
1007
1008
    }

    {
        migraphx::shape s_m1{migraphx::shape::float_type, {4, 5}};
        migraphx::shape s_m2{migraphx::shape::float_type, {5, 8}};
1009
1010
1011
1012
        expect_shape(migraphx::shape{migraphx::shape::float_type, {4, 8}},
                     migraphx::make_op("dot"),
                     s_m1,
                     s_m2);
1013
1014
    }

1015
1016
1017
    {
        migraphx::shape s_m1{migraphx::shape::float_type, {1, 1}};
        migraphx::shape s_m2{migraphx::shape::float_type, {1, 1}};
1018
1019
1020
1021
        expect_shape(migraphx::shape{migraphx::shape::float_type, {1, 1}},
                     migraphx::make_op("dot"),
                     s_m1,
                     s_m2);
1022
1023
1024
1025
1026
1027
    }

    {
        migraphx::shape s_m1{migraphx::shape::float_type, {1, 4, 5}};
        migraphx::shape s_m2{migraphx::shape::float_type, {1, 5, 7}};
        expect_shape(migraphx::shape{migraphx::shape::float_type, {1, 4, 7}},
1028
                     migraphx::make_op("dot"),
1029
1030
1031
1032
1033
                     s_m1,
                     s_m2);
    }

    {
1034
1035
        migraphx::shape s_m1{migraphx::shape::float_type, {4, 5}};
        migraphx::shape s_m2{migraphx::shape::float_type, {1, 1, 5, 7}};
1036
        throws_shape(migraphx::make_op("dot"), s_m1, s_m2);
1037
1038
1039
1040
    }

    {
        migraphx::shape s_m1{migraphx::shape::float_type, {1, 1, 4, 5}};
1041
        migraphx::shape s_m2{migraphx::shape::float_type, {1, 2, 5, 7}};
1042
        throws_shape(migraphx::make_op("dot"), s_m1, s_m2);
1043
1044
1045
    }
}

Shucai Xiao's avatar
Shucai Xiao committed
1046
TEST_CASE(multibroadcast)
1047
1048
{
    {
Shucai Xiao's avatar
Shucai Xiao committed
1049
1050
1051
        std::vector<std::size_t> lens{4, 2, 5, 3};
        migraphx::shape input{migraphx::shape::float_type, {2, 1, 3}};
        expect_shape(migraphx::shape{migraphx::shape::float_type, lens, {0, 3, 0, 1}},
1052
                     migraphx::make_op("multibroadcast", {{"out_lens", lens}}),
Shucai Xiao's avatar
Shucai Xiao committed
1053
                     input);
1054
1055
    }
    {
Shucai Xiao's avatar
Shucai Xiao committed
1056
1057
1058
        std::vector<std::size_t> lens{4, 2, 5, 3};
        migraphx::shape input{migraphx::shape::float_type, {2, 1, 1}};
        expect_shape(migraphx::shape{migraphx::shape::float_type, lens, {0, 1, 0, 0}},
1059
                     migraphx::make_op("multibroadcast", {{"out_lens", lens}}),
Shucai Xiao's avatar
Shucai Xiao committed
1060
                     input);
1061
1062
    }
    {
Shucai Xiao's avatar
Shucai Xiao committed
1063
1064
1065
        std::vector<std::size_t> lens{4, 2, 5, 3};
        migraphx::shape input{migraphx::shape::float_type, {5, 1}};
        expect_shape(migraphx::shape{migraphx::shape::float_type, lens, {0, 0, 1, 0}},
1066
                     migraphx::make_op("multibroadcast", {{"out_lens", lens}}),
Shucai Xiao's avatar
Shucai Xiao committed
1067
                     input);
1068
1069
    }
    {
Shucai Xiao's avatar
Shucai Xiao committed
1070
1071
1072
        std::vector<std::size_t> lens{4, 2, 5, 3};
        migraphx::shape input{migraphx::shape::float_type, {4, 1, 1, 1}};
        expect_shape(migraphx::shape{migraphx::shape::float_type, lens, {1, 0, 0, 0}},
1073
                     migraphx::make_op("multibroadcast", {{"out_lens", lens}}),
Shucai Xiao's avatar
Shucai Xiao committed
1074
                     input);
1075
1076
    }
    {
Shucai Xiao's avatar
Shucai Xiao committed
1077
1078
1079
        std::vector<std::size_t> lens{4, 2, 5, 3};
        migraphx::shape input{migraphx::shape::float_type, {3}};
        expect_shape(migraphx::shape{migraphx::shape::float_type, lens, {0, 0, 0, 1}},
1080
                     migraphx::make_op("multibroadcast", {{"out_lens", lens}}),
Shucai Xiao's avatar
Shucai Xiao committed
1081
                     input);
1082
    }
1083
    {
Shucai Xiao's avatar
Shucai Xiao committed
1084
1085
1086
        std::vector<std::size_t> lens{4, 4, 1, 3};
        migraphx::shape input{migraphx::shape::float_type, {4, 1, 3}};
        expect_shape(migraphx::shape{migraphx::shape::float_type, lens, {0, 3, 3, 1}},
1087
                     migraphx::make_op("multibroadcast", {{"out_lens", lens}}),
Shucai Xiao's avatar
Shucai Xiao committed
1088
                     input);
1089
1090
    }
    {
Shucai Xiao's avatar
Shucai Xiao committed
1091
1092
1093
        std::vector<std::size_t> lens{4, 1, 1, 3};
        migraphx::shape input{migraphx::shape::float_type, {4, 1, 1, 1}};
        expect_shape(migraphx::shape{migraphx::shape::float_type, lens, {1, 1, 1, 0}},
1094
                     migraphx::make_op("multibroadcast", {{"out_lens", lens}}),
Shucai Xiao's avatar
Shucai Xiao committed
1095
                     input);
1096
1097
    }
    {
Shucai Xiao's avatar
Shucai Xiao committed
1098
1099
        std::vector<std::size_t> lens{4, 1, 3};
        migraphx::shape input{migraphx::shape::float_type, {4, 1, 1, 1}};
1100
        throws_shape(migraphx::make_op("multibroadcast", {{"out_lens", lens}}), input);
1101
1102
    }
    {
Shucai Xiao's avatar
Shucai Xiao committed
1103
        std::vector<std::size_t> lens{4, 1, 3};
Charlie Lin's avatar
Charlie Lin committed
1104
1105
        std::vector<std::size_t> empt = {};
        migraphx::shape input{migraphx::shape::float_type, empt};
1106
        throws_shape(migraphx::make_op("multibroadcast", {{"out_lens", lens}}), input);
1107
1108
    }
    {
Shucai Xiao's avatar
Shucai Xiao committed
1109
1110
        std::vector<std::size_t> lens{2, 3, 4, 5};
        migraphx::shape input{migraphx::shape::float_type, {3, 4}};
1111
        throws_shape(migraphx::make_op("multibroadcast", {{"out_lens", lens}}), input);
Shucai Xiao's avatar
Shucai Xiao committed
1112
1113
1114
1115
    }
    {
        std::vector<std::size_t> lens{2, 3, 4, 5};
        migraphx::shape input{migraphx::shape::float_type, {2, 3, 4}};
1116
        throws_shape(migraphx::make_op("multibroadcast", {{"out_lens", lens}}), input);
1117
1118
1119
    }
}

turneram's avatar
turneram committed
1120
1121
1122
1123
1124
1125
1126
1127
TEST_CASE(multinomial)
{
    migraphx::shape s{migraphx::shape::float_type, {2, 5}};
    int dtype = 0;

    throws_shape(migraphx::make_op("multinomial", {{"dtype", dtype}}), s, s);
}

Charlie Lin's avatar
Charlie Lin committed
1128
1129
1130
1131
1132
1133
1134
1135
1136
1137
1138
1139
1140
1141
1142
1143
1144
1145
1146
1147
1148
1149
1150
1151
1152
1153
1154
1155
1156
1157
1158
1159
1160
1161
1162
1163
1164
1165
1166
1167
1168
1169
1170
1171
1172
1173
1174
1175
1176
1177
1178
1179
1180
1181
1182
1183
1184
1185
1186
1187
1188
1189
1190
1191
1192
1193
1194
1195
1196
1197
1198
1199
1200
1201
1202
1203
1204
1205
1206
1207
1208
1209
1210
1211
1212
1213
1214
1215
1216
1217
1218
1219
1220
1221
1222
1223
1224
1225
1226
1227
1228
1229
1230
1231
1232
1233
1234
1235
1236
1237
1238
1239
1240
1241
1242
1243
1244
1245
1246
1247
1248
1249
1250
1251
1252
1253
1254
1255
1256
1257
1258
1259
1260
1261
1262
1263
1264
1265
1266
1267
1268
1269
1270
TEST_CASE(nms_shape)
{
    // use_dyn_output == false
    migraphx::shape boxes_s{migraphx::shape::float_type, {1, 6, 4}};
    migraphx::shape scores_s{migraphx::shape::float_type, {1, 1, 6}};
    migraphx::shape max_out_s{migraphx::shape::int64_type, {1}};
    migraphx::shape iou_thres_s{migraphx::shape::float_type, {1}};
    migraphx::shape score_thres_s{migraphx::shape::float_type, {1}};
    migraphx::shape output_s{migraphx::shape::int64_type, {6, 3}};
    expect_shape(output_s,
                 migraphx::make_op("nonmaxsuppression",
                                   {{"center_point_box", true}, {"use_dyn_output", false}}),
                 boxes_s,
                 scores_s,
                 max_out_s,
                 iou_thres_s,
                 score_thres_s);

    // use_dyn_output == true
    output_s = {migraphx::shape::int64_type, {{0, 6, 0}, {3, 3, 0}}};
    expect_shape(output_s,
                 migraphx::make_op("nonmaxsuppression",
                                   {{"center_point_box", true}, {"use_dyn_output", true}}),
                 boxes_s,
                 scores_s,
                 max_out_s,
                 iou_thres_s,
                 score_thres_s);

    // dynamic batches
    boxes_s  = {migraphx::shape::float_type, {{1, 3, 0}, {6, 6, 0}, {4, 4, 0}}};
    scores_s = {migraphx::shape::float_type, {{1, 3, 0}, {1, 1, 0}, {6, 6, 0}}};
    output_s = {migraphx::shape::int64_type, {{0, 18, 0}, {3, 3, 0}}};
    expect_shape(output_s,
                 migraphx::make_op("nonmaxsuppression",
                                   {{"center_point_box", true}, {"use_dyn_output", true}}),
                 boxes_s,
                 scores_s,
                 max_out_s,
                 iou_thres_s,
                 score_thres_s);

    // dynamic num boxes
    boxes_s  = {migraphx::shape::float_type, {{1, 1, 0}, {6, 20, 0}, {4, 4, 0}}};
    scores_s = {migraphx::shape::float_type, {{1, 1, 0}, {1, 1, 0}, {6, 20, 0}}};
    output_s = {migraphx::shape::int64_type, {{0, 20, 0}, {3, 3, 0}}};
    expect_shape(output_s,
                 migraphx::make_op("nonmaxsuppression",
                                   {{"center_point_box", true}, {"use_dyn_output", true}}),
                 boxes_s,
                 scores_s,
                 max_out_s,
                 iou_thres_s,
                 score_thres_s);

    // use_dyn_output false with dynamic input shape
    throws_shape(migraphx::make_op("nonmaxsuppression",
                                   {{"center_point_box", true}, {"use_dyn_output", false}}),
                 boxes_s,
                 scores_s,
                 max_out_s,
                 iou_thres_s,
                 score_thres_s);

    // dynamic classes
    boxes_s  = {migraphx::shape::float_type, {{1, 1, 0}, {6, 6, 0}, {4, 4, 0}}};
    scores_s = {migraphx::shape::float_type, {{1, 1, 0}, {1, 3, 0}, {6, 6, 0}}};
    output_s = {migraphx::shape::int64_type, {{0, 6, 0}, {3, 3, 0}}};
    expect_shape(output_s,
                 migraphx::make_op("nonmaxsuppression",
                                   {{"center_point_box", true}, {"use_dyn_output", true}}),
                 boxes_s,
                 scores_s,
                 max_out_s,
                 iou_thres_s,
                 score_thres_s);

    // fixed mismatch batches
    boxes_s  = {migraphx::shape::float_type, {2, 6, 4}};
    scores_s = {migraphx::shape::float_type, {1, 1, 6}};
    throws_shape(migraphx::make_op("nonmaxsuppression",
                                   {{"center_point_box", true}, {"use_dyn_output", true}}),
                 boxes_s,
                 scores_s,
                 max_out_s,
                 iou_thres_s,
                 score_thres_s);

    // fixed mismatch num boxes
    boxes_s  = {migraphx::shape::float_type, {1, 6, 4}};
    scores_s = {migraphx::shape::float_type, {1, 1, 4}};
    throws_shape(migraphx::make_op("nonmaxsuppression",
                                   {{"center_point_box", true}, {"use_dyn_output", true}}),
                 boxes_s,
                 scores_s,
                 max_out_s,
                 iou_thres_s,
                 score_thres_s);

    // dynamic mismatch batches
    boxes_s  = {migraphx::shape::float_type, {{1, 4, 0}, {6, 6, 0}, {4, 4, 0}}};
    scores_s = {migraphx::shape::float_type, {{2, 8, 0}, {1, 1, 0}, {6, 6, 0}}};
    throws_shape(migraphx::make_op("nonmaxsuppression",
                                   {{"center_point_box", true}, {"use_dyn_output", true}}),
                 boxes_s,
                 scores_s,
                 max_out_s,
                 iou_thres_s,
                 score_thres_s);

    // dynamic mismatch num boxes
    boxes_s  = {migraphx::shape::float_type, {{1, 1, 0}, {6, 8, 0}, {4, 4, 0}}};
    scores_s = {migraphx::shape::float_type, {{1, 1, 0}, {1, 1, 0}, {3, 9, 0}}};
    throws_shape(migraphx::make_op("nonmaxsuppression",
                                   {{"center_point_box", true}, {"use_dyn_output", true}}),
                 boxes_s,
                 scores_s,
                 max_out_s,
                 iou_thres_s,
                 score_thres_s);

    // dynamic number of classes, fixed boxes_s, mismatch batches
    boxes_s  = {migraphx::shape::float_type, {1, 6, 4}};
    scores_s = {migraphx::shape::float_type, {{1, 3, 0}, {1, 3, 0}, {6, 6, 0}}};
    throws_shape(migraphx::make_op("nonmaxsuppression",
                                   {{"center_point_box", true}, {"use_dyn_output", true}}),
                 boxes_s,
                 scores_s,
                 max_out_s,
                 iou_thres_s,
                 score_thres_s);
    // dynamic number of classes, fixed boxes_s, mismatch num boxes
    boxes_s  = {migraphx::shape::float_type, {1, 6, 4}};
    scores_s = {migraphx::shape::float_type, {{1, 1, 0}, {1, 3, 0}, {4, 8, 0}}};
    throws_shape(migraphx::make_op("nonmaxsuppression",
                                   {{"center_point_box", true}, {"use_dyn_output", true}}),
                 boxes_s,
                 scores_s,
                 max_out_s,
                 iou_thres_s,
                 score_thres_s);
}

Shucai Xiao's avatar
Shucai Xiao committed
1271
TEST_CASE(pooling_shape)
1272
{
Shucai Xiao's avatar
Shucai Xiao committed
1273
1274
    migraphx::shape output{migraphx::shape::float_type, {4, 3, 1, 1}};
    migraphx::shape input{migraphx::shape::float_type, {4, 3, 3, 3}};
1275
1276
1277
1278
1279
1280
1281
1282
1283
1284
1285
1286
1287
    throws_shape(migraphx::make_op("pooling",
                                   {{"mode", migraphx::op::pooling_mode::max},
                                    {"padding", {1}},
                                    {"stride", {0}},
                                    {"lengths", {1}}}),
                 input);
    expect_shape(output,
                 migraphx::make_op("pooling",
                                   {{"mode", migraphx::op::pooling_mode::max},
                                    {"padding", {0, 0}},
                                    {"stride", {3, 3}},
                                    {"lengths", {1, 1}}}),
                 input);
1288

Shucai Xiao's avatar
Shucai Xiao committed
1289
1290
1291
    migraphx::shape output1{migraphx::shape::float_type, {4, 3, 2, 2}};
    expect_shape(output1,
                 migraphx::make_op("pooling",
1292
                                   {{"mode", migraphx::op::pooling_mode::max},
Shucai Xiao's avatar
Shucai Xiao committed
1293
1294
1295
1296
1297
1298
                                    {"padding", {0, 0}},
                                    {"stride", {3, 3}},
                                    {"lengths", {1, 1}},
                                    {"ceil_mode", true}}),
                 input);
}
1299

Shucai Xiao's avatar
Shucai Xiao committed
1300
1301
TEST_CASE(prefix_scan_sum)
{
1302
    {
Shucai Xiao's avatar
Shucai Xiao committed
1303
1304
1305
1306
        migraphx::shape s{migraphx::shape::float_type, {1, 2, 3}};
        throws_shape(
            migraphx::make_op("prefix_scan_sum", {{"axis", 3}, {"exclusive", 0}, {"reverse", 0}}),
            s);
1307
1308
1309
    }

    {
Shucai Xiao's avatar
Shucai Xiao committed
1310
1311
1312
1313
        migraphx::shape s{migraphx::shape::float_type, {1, 2}};
        throws_shape(
            migraphx::make_op("prefix_scan_sum", {{"axis", -3}, {"exclusive", 0}, {"reverse", 0}}),
            s);
1314
    }
Shucai Xiao's avatar
Shucai Xiao committed
1315
}
1316

Shucai Xiao's avatar
Shucai Xiao committed
1317
1318
1319
1320
1321
1322
1323
1324
1325
1326
1327
1328
1329
1330
1331
TEST_CASE(quant_convolution_shape)
{
    migraphx::shape output{migraphx::shape::int32_type, {4, 4, 1, 1}};
    migraphx::shape input{migraphx::shape::int8_type, {4, 3, 3, 3}};
    migraphx::shape weights{migraphx::shape::int8_type, {4, 3, 3, 3}};
    expect_shape(output, migraphx::make_op("quant_convolution"), input, weights);
    throws_shape(migraphx::make_op("quant_convolution"), input);
    throws_shape(migraphx::make_op("quant_convolution",
                                   {{"padding", {0}}, {"stride", {1, 1}}, {"dilation", {1, 1}}}),
                 input,
                 weights);
    throws_shape(migraphx::make_op("quant_convolution",
                                   {{"padding", {0}}, {"stride", {1}}, {"dilation", {1}}}),
                 input,
                 weights);
1332

Shucai Xiao's avatar
Shucai Xiao committed
1333
1334
1335
1336
    migraphx::shape input2{migraphx::shape::int32_type, {3, 3}};
    migraphx::shape weights2{migraphx::shape::float_type, {3, 3}};
    throws_shape(migraphx::make_op("quant_convolution"), input2, weights2);
    throws_shape(migraphx::make_op("quant_convolution"), input2, weights);
1337

Shucai Xiao's avatar
Shucai Xiao committed
1338
1339
1340
1341
1342
1343
    migraphx::shape input3{migraphx::shape::int32_type, {4, 3, 3, 3}};
    migraphx::shape weight3{migraphx::shape::float_type, {4, 3, 3, 3}};
    throws_shape(migraphx::make_op("quant_convolution"), input3, weights);
    throws_shape(migraphx::make_op("quant_convolution"), input, weight3);
    throws_shape(migraphx::make_op("quant_convolution"), input3, weight3);
}
1344

Shucai Xiao's avatar
Shucai Xiao committed
1345
1346
1347
// quant_dot
TEST_CASE(quant_dot_2args)
{
1348
    {
Shucai Xiao's avatar
Shucai Xiao committed
1349
1350
1351
1352
1353
1354
        migraphx::shape s_m1{migraphx::shape::int8_type, {2, 4}};
        migraphx::shape s_m2{migraphx::shape::int8_type, {4, 8}};
        expect_shape(migraphx::shape{migraphx::shape::int32_type, {2, 8}},
                     migraphx::make_op("quant_dot"),
                     s_m1,
                     s_m2);
1355
1356
1357
    }

    {
Shucai Xiao's avatar
Shucai Xiao committed
1358
1359
1360
        migraphx::shape s_m1{migraphx::shape::int8_type, {3, 8}};
        migraphx::shape s_m2{migraphx::shape::int8_type, {8, 7}};
        expect_shape(migraphx::shape{migraphx::shape::int32_type, {3, 7}},
1361
                     migraphx::make_op("quant_dot"),
Shucai Xiao's avatar
Shucai Xiao committed
1362
1363
1364
                     s_m1,
                     s_m2);
    }
1365

Shucai Xiao's avatar
Shucai Xiao committed
1366
1367
1368
1369
    {
        migraphx::shape s_m1{migraphx::shape::int8_type, {2, 4}};
        migraphx::shape s_m2{migraphx::shape::int8_type, {8, 8}};
        throws_shape(migraphx::make_op("quant_dot"), s_m1, s_m2);
1370
1371
1372
    }
}

Shucai Xiao's avatar
Shucai Xiao committed
1373
1374
1375
template <class T>
void test_reduce_ops()
{
Shucai Xiao's avatar
Shucai Xiao committed
1376
    {
Shucai Xiao's avatar
Shucai Xiao committed
1377
1378
1379
        migraphx::shape input{migraphx::shape::float_type, {2, 3, 4, 5}};
        expect_shape(migraphx::shape{migraphx::shape::float_type, {1, 1, 1, 1}}, T{}, input);
    }
Shucai Xiao's avatar
Shucai Xiao committed
1380

Shucai Xiao's avatar
Shucai Xiao committed
1381
1382
    {
        migraphx::shape input{migraphx::shape::float_type, {2, 3, 4, 5}};
1383
        expect_shape(
Shucai Xiao's avatar
Shucai Xiao committed
1384
            migraphx::shape{migraphx::shape::float_type, {1, 1, 1, 1}}, T{{0, 1, 2, 3}}, input);
Shucai Xiao's avatar
Shucai Xiao committed
1385
1386
    }
    {
Shucai Xiao's avatar
Shucai Xiao committed
1387
1388
        migraphx::shape input{migraphx::shape::float_type, {2, 3, 4, 5}};
        expect_shape(migraphx::shape{migraphx::shape::float_type, {2, 3, 1, 1}}, T{{2, 3}}, input);
Shucai Xiao's avatar
Shucai Xiao committed
1389
1390
    }
    {
Shucai Xiao's avatar
Shucai Xiao committed
1391
1392
1393
1394
1395
1396
1397
1398
1399
1400
1401
1402
        migraphx::shape input{migraphx::shape::float_type, {2, 3, 4, 5}};
        expect_shape(migraphx::shape{migraphx::shape::float_type, {1, 3, 4, 5}}, T{{0}}, input);
    }
    {
        migraphx::shape input{migraphx::shape::float_type, {2, 3, 4, 5}};
        expect_shape(migraphx::shape{migraphx::shape::float_type, {2, 3, 4, 1}}, T{{-1}}, input);
    }
    {
        migraphx::shape input{migraphx::shape::float_type, {2, 3, 4, 5}};
        throws_shape(T{{4}}, input);
    }
}
Shucai Xiao's avatar
Shucai Xiao committed
1403

Shucai Xiao's avatar
Shucai Xiao committed
1404
1405
TEST_CASE(reduce_mean) { test_reduce_ops<migraphx::op::reduce_mean>(); }
TEST_CASE(reduce_sum) { test_reduce_ops<migraphx::op::reduce_sum>(); }
Shucai Xiao's avatar
Shucai Xiao committed
1406

Shucai Xiao's avatar
Shucai Xiao committed
1407
1408
1409
1410
1411
1412
1413
1414
1415
1416
TEST_CASE(reshape_shape)
{
    migraphx::shape input{migraphx::shape::float_type, {24, 1, 1, 1}};
    for(auto&& new_shape :
        std::vector<std::vector<int64_t>>{{8, 3, 1, 1}, {1, 3, 4, 2}, {1, 3, 4, 2}})
    {
        std::vector<std::size_t> lens(new_shape.size());
        std::copy(new_shape.begin(), new_shape.end(), lens.begin());
        migraphx::shape output{migraphx::shape::float_type, lens};
        expect_shape(output, migraphx::make_op("reshape", {{"dims", new_shape}}), input);
Shucai Xiao's avatar
Shucai Xiao committed
1417
1418
    }

Shucai Xiao's avatar
Shucai Xiao committed
1419
1420
    for(auto&& new_shape :
        std::vector<std::vector<int64_t>>{{8, 3, 2, 2}, {1, 3, -1, -1}, {3, 0, 0}, {3, 2, 0}})
Shucai Xiao's avatar
Shucai Xiao committed
1421
    {
Shucai Xiao's avatar
Shucai Xiao committed
1422
1423
        throws_shape(migraphx::make_op("reshape", {{"dims", new_shape}}), input);
    }
Shucai Xiao's avatar
Shucai Xiao committed
1424

Shucai Xiao's avatar
Shucai Xiao committed
1425
1426
1427
1428
1429
1430
1431
1432
1433
1434
    std::vector<std::pair<std::vector<int64_t>, migraphx::shape>> minus1_tests{
        {{2, -1, 3}, {migraphx::shape::float_type, {2, 4, 3}}},
        {{0, -1, 0}, {migraphx::shape::float_type, {24, 1, 1}}},
        {{2, -1, 0}, {migraphx::shape::float_type, {2, 12, 1}}},
        {{0, 0, -1}, {migraphx::shape::float_type, {24, 1, 1}}},
        {{2, 0, -1}, {migraphx::shape::float_type, {2, 1, 12}}},
        {{-1, 2, 3}, {migraphx::shape::float_type, {4, 2, 3}}},
        {{-1, 0, 3}, {migraphx::shape::float_type, {8, 1, 3}}},
        {{-1, 0, 0}, {migraphx::shape::float_type, {24, 1, 1}}},
        {{-1, 3, 0}, {migraphx::shape::float_type, {8, 3, 1}}}};
Shucai Xiao's avatar
Shucai Xiao committed
1435

Shucai Xiao's avatar
Shucai Xiao committed
1436
1437
1438
    for(auto& it : minus1_tests)
    {
        expect_shape(it.second, migraphx::make_op("reshape", {{"dims", it.first}}), input);
Shucai Xiao's avatar
Shucai Xiao committed
1439
1440
1441
    }
}

Shucai Xiao's avatar
Shucai Xiao committed
1442
TEST_CASE(rnn)
1443
1444
1445
1446
1447
1448
1449
1450
1451
1452
{
    {
        std::size_t batch_size  = 2;
        std::size_t seq_len     = 2;
        std::size_t hidden_size = 4;
        std::size_t input_size  = 3;
        std::size_t num_dirct   = 1;
        float clip              = 0.0f;

        migraphx::shape in_shape{migraphx::shape::float_type, {seq_len, batch_size, input_size}};
Shucai Xiao's avatar
Shucai Xiao committed
1453
1454
1455
1456
        migraphx::shape ih_shape{migraphx::shape::float_type, {num_dirct, batch_size, hidden_size}};
        migraphx::shape w_shape{migraphx::shape::float_type, {num_dirct, hidden_size, input_size}};
        migraphx::shape r_shape{migraphx::shape::float_type, {num_dirct, hidden_size, hidden_size}};
        migraphx::shape b_shape{migraphx::shape::float_type, {num_dirct, 2 * hidden_size}};
1457
1458
1459
1460

        expect_shape(
            migraphx::shape{migraphx::shape::float_type,
                            {seq_len, num_dirct, batch_size, hidden_size}},
1461
            migraphx::make_op(
Shucai Xiao's avatar
Shucai Xiao committed
1462
                "rnn",
1463
1464
1465
1466
1467
                {{"hidden_size", hidden_size},
                 {"actv_func",
                  migraphx::to_value(std::vector<migraphx::operation>{migraphx::make_op("tanh")})},
                 {"direction", migraphx::to_value(migraphx::op::rnn_direction::forward)},
                 {"clip", clip}}),
1468
1469
            in_shape,
            w_shape,
Shucai Xiao's avatar
Shucai Xiao committed
1470
1471
1472
            r_shape,
            b_shape,
            ih_shape);
1473
1474
1475
1476
1477
1478
1479
1480
1481
1482
1483
1484
    }

    {
        std::size_t batch_size  = 2;
        std::size_t seq_len     = 2;
        std::size_t hidden_size = 4;
        std::size_t input_size  = 3;
        std::size_t num_dirct   = 1;
        float clip              = 0.0f;

        migraphx::shape in_shape{migraphx::shape::float_type, {seq_len, batch_size, input_size}};
        migraphx::shape ih_shape{migraphx::shape::float_type, {num_dirct, batch_size, hidden_size}};
Shucai Xiao's avatar
Shucai Xiao committed
1485
1486
1487
        migraphx::shape w_shape{migraphx::shape::float_type, {num_dirct, hidden_size, input_size}};
        migraphx::shape r_shape{migraphx::shape::float_type, {num_dirct, hidden_size, hidden_size}};
        migraphx::shape b_shape{migraphx::shape::float_type, {num_dirct, 2 * hidden_size}};
1488
1489
1490
1491

        expect_shape(
            migraphx::shape{migraphx::shape::float_type,
                            {seq_len, num_dirct, batch_size, hidden_size}},
1492
            migraphx::make_op(
Shucai Xiao's avatar
Shucai Xiao committed
1493
                "rnn",
1494
1495
1496
1497
1498
                {{"hidden_size", hidden_size},
                 {"actv_func",
                  migraphx::to_value(std::vector<migraphx::operation>{migraphx::make_op("tanh")})},
                 {"direction", migraphx::to_value(migraphx::op::rnn_direction::reverse)},
                 {"clip", clip}}),
1499
1500
1501
1502
1503
1504
1505
1506
1507
1508
1509
1510
1511
1512
1513
1514
1515
            in_shape,
            w_shape,
            r_shape,
            b_shape,
            ih_shape);
    }

    {
        std::size_t batch_size  = 2;
        std::size_t seq_len     = 2;
        std::size_t hidden_size = 4;
        std::size_t input_size  = 3;
        std::size_t num_dirct   = 2;
        float clip              = 0.0f;

        migraphx::shape in_shape{migraphx::shape::float_type, {seq_len, batch_size, input_size}};
        migraphx::shape ih_shape{migraphx::shape::float_type, {num_dirct, batch_size, hidden_size}};
Shucai Xiao's avatar
Shucai Xiao committed
1516
1517
1518
        migraphx::shape w_shape{migraphx::shape::float_type, {num_dirct, hidden_size, input_size}};
        migraphx::shape r_shape{migraphx::shape::float_type, {num_dirct, hidden_size, hidden_size}};
        migraphx::shape b_shape{migraphx::shape::float_type, {num_dirct, 2 * hidden_size}};
1519

1520
1521
1522
1523
        expect_shape(
            migraphx::shape{migraphx::shape::float_type,
                            {seq_len, num_dirct, batch_size, hidden_size}},
            migraphx::make_op(
Shucai Xiao's avatar
Shucai Xiao committed
1524
                "rnn",
1525
1526
1527
1528
1529
1530
1531
1532
1533
1534
                {{"hidden_size", hidden_size},
                 {"actv_func",
                  migraphx::to_value(std::vector<migraphx::operation>{migraphx::make_op("tanh")})},
                 {"direction", migraphx::to_value(migraphx::op::rnn_direction::bidirectional)},
                 {"clip", clip}}),
            in_shape,
            w_shape,
            r_shape,
            b_shape,
            ih_shape);
1535
1536
1537
1538
1539
1540
1541
1542
1543
1544
1545
1546
    }

    {
        std::size_t batch_size  = 2;
        std::size_t seq_len     = 2;
        std::size_t hidden_size = 4;
        std::size_t input_size  = 3;
        std::size_t num_dirct   = 1;
        float clip              = 0.0f;

        migraphx::shape in_shape{migraphx::shape::float_type, {seq_len, batch_size, input_size}};
        migraphx::shape ih_shape{migraphx::shape::float_type, {num_dirct, batch_size, hidden_size}};
Shucai Xiao's avatar
Shucai Xiao committed
1547
1548
1549
        migraphx::shape w_shape{migraphx::shape::float_type, {num_dirct, hidden_size, input_size}};
        migraphx::shape r_shape{migraphx::shape::float_type, {num_dirct, hidden_size, hidden_size}};
        migraphx::shape b_shape{migraphx::shape::float_type, {num_dirct, 2 * hidden_size}};
1550

1551
1552
        throws_shape(
            migraphx::make_op(
Shucai Xiao's avatar
Shucai Xiao committed
1553
                "rnn",
1554
1555
1556
1557
1558
1559
1560
1561
1562
1563
                {{"hidden_size", hidden_size + 1},
                 {"actv_func",
                  migraphx::to_value(std::vector<migraphx::operation>{migraphx::make_op("tanh")})},
                 {"direction", migraphx::to_value(migraphx::op::rnn_direction::forward)},
                 {"clip", clip}}),
            in_shape,
            w_shape,
            r_shape,
            b_shape,
            ih_shape);
1564
1565
1566
1567
1568
1569
1570
1571
1572
1573
1574
1575
    }

    {
        std::size_t batch_size  = 2;
        std::size_t seq_len     = 2;
        std::size_t hidden_size = 4;
        std::size_t input_size  = 3;
        std::size_t num_dirct   = 1;
        float clip              = 0.0f;

        migraphx::shape in_shape{migraphx::shape::float_type, {seq_len, batch_size, input_size}};
        migraphx::shape ih_shape{migraphx::shape::float_type, {num_dirct, batch_size, hidden_size}};
Shucai Xiao's avatar
Shucai Xiao committed
1576
1577
1578
        migraphx::shape w_shape{migraphx::shape::float_type, {num_dirct, hidden_size, input_size}};
        migraphx::shape r_shape{migraphx::shape::float_type, {num_dirct, hidden_size, hidden_size}};
        migraphx::shape b_shape{migraphx::shape::float_type, {num_dirct, 2 * hidden_size}};
1579

1580
1581
        throws_shape(
            migraphx::make_op(
Shucai Xiao's avatar
Shucai Xiao committed
1582
                "rnn",
1583
1584
1585
1586
1587
1588
1589
1590
1591
1592
                {{"hidden_size", hidden_size},
                 {"actv_func",
                  migraphx::to_value(std::vector<migraphx::operation>{migraphx::make_op("tanh")})},
                 {"direction", migraphx::to_value(migraphx::op::rnn_direction::bidirectional)},
                 {"clip", clip}}),
            in_shape,
            w_shape,
            r_shape,
            b_shape,
            ih_shape);
1593
1594
1595
1596
1597
1598
1599
1600
1601
1602
1603
1604
    }

    {
        std::size_t batch_size  = 2;
        std::size_t seq_len     = 2;
        std::size_t hidden_size = 4;
        std::size_t input_size  = 3;
        std::size_t num_dirct   = 2;
        float clip              = 0.0f;

        migraphx::shape in_shape{migraphx::shape::float_type, {seq_len, batch_size, input_size}};
        migraphx::shape ih_shape{migraphx::shape::float_type, {num_dirct, batch_size, hidden_size}};
Shucai Xiao's avatar
Shucai Xiao committed
1605
1606
1607
        migraphx::shape w_shape{migraphx::shape::float_type, {num_dirct, hidden_size, input_size}};
        migraphx::shape r_shape{migraphx::shape::float_type, {num_dirct, hidden_size, hidden_size}};
        migraphx::shape b_shape{migraphx::shape::float_type, {num_dirct, 2 * hidden_size}};
1608
1609

        throws_shape(
1610
            migraphx::make_op(
Shucai Xiao's avatar
Shucai Xiao committed
1611
                "rnn",
1612
1613
1614
1615
1616
                {{"hidden_size", hidden_size},
                 {"actv_func",
                  migraphx::to_value(std::vector<migraphx::operation>{migraphx::make_op("tanh")})},
                 {"direction", migraphx::to_value(migraphx::op::rnn_direction::forward)},
                 {"clip", clip}}),
1617
1618
1619
1620
1621
1622
1623
1624
            in_shape,
            w_shape,
            r_shape,
            b_shape,
            ih_shape);
    }
}

Shucai Xiao's avatar
Shucai Xiao committed
1625
1626
1627
1628
1629
1630
1631
1632
1633
1634
1635
1636
1637
1638
1639
1640
1641
1642
TEST_CASE(slice_shape)
{
    migraphx::shape input{migraphx::shape::int32_type, {2, 2, 3}};
    expect_shape(migraphx::shape{migraphx::shape::int32_type, {2, 2, 2}, {6, 3, 1}},
                 migraphx::make_op("slice", {{"axes", {2}}, {"starts", {1}}, {"ends", {3}}}),
                 input);
    expect_shape(migraphx::shape{migraphx::shape::int32_type, {2, 2, 2}, {6, 3, 1}},
                 migraphx::make_op(
                     "slice", {{"axes", {0, 1, 2}}, {"starts", {0, 0, 1}}, {"ends", {2, 2, 3}}}),
                 input);
    expect_shape(migraphx::shape{migraphx::shape::int32_type, {2, 2, 1}, {6, 3, 1}},
                 migraphx::make_op("slice", {{"axes", {2}}, {"starts", {2}}, {"ends", {10}}}),
                 input);
}

TEST_CASE(softmax) { test_softmax_variations<migraphx::op::softmax>(); }

TEST_CASE(test_argmax)
turneram's avatar
turneram committed
1643
1644
{
    {
Shucai Xiao's avatar
Shucai Xiao committed
1645
1646
1647
1648
        migraphx::shape input{migraphx::shape::half_type, {2, 3, 4, 5}};
        expect_shape(migraphx::shape{migraphx::shape::int64_type, {1, 3, 4, 5}},
                     migraphx::make_op("argmax", {{"axis", 0}}),
                     input);
turneram's avatar
turneram committed
1649
1650
1651
    }

    {
Shucai Xiao's avatar
Shucai Xiao committed
1652
1653
1654
1655
1656
1657
1658
1659
1660
1661
1662
1663
1664
1665
1666
1667
1668
1669
1670
1671
1672
1673
1674
1675
1676
1677
1678
1679
1680
1681
1682
1683
1684
1685
1686
1687
1688
1689
1690
1691
1692
1693
1694
1695
1696
1697
1698
1699
1700
1701
1702
1703
1704
1705
        migraphx::shape input{migraphx::shape::half_type, {2, 3, 4, 5}};
        expect_shape(migraphx::shape{migraphx::shape::int64_type, {2, 1, 4, 5}},
                     migraphx::make_op("argmax", {{"axis", 1}}),
                     input);
    }

    {
        migraphx::shape input{migraphx::shape::half_type, {2, 3, 4, 5}};
        expect_shape(migraphx::shape{migraphx::shape::int64_type, {2, 3, 1, 5}},
                     migraphx::make_op("argmax", {{"axis", 2}}),
                     input);
    }

    {
        migraphx::shape input{migraphx::shape::half_type, {2, 3, 4, 5}};
        expect_shape(migraphx::shape{migraphx::shape::int64_type, {2, 3, 4, 1}},
                     migraphx::make_op("argmax", {{"axis", 3}}),
                     input);
    }

    {
        migraphx::shape input{migraphx::shape::float_type, {2, 3, 4, 5}};
        throws_shape(migraphx::make_op("argmax", {{"axis", 4}}), input);
    }
}

TEST_CASE(test_argmin)
{
    {
        migraphx::shape input{migraphx::shape::half_type, {2, 3, 4, 5}};
        expect_shape(migraphx::shape{migraphx::shape::int64_type, {1, 3, 4, 5}},
                     migraphx::make_op("argmin", {{"axis", 0}}),
                     input);
    }

    {
        migraphx::shape input{migraphx::shape::half_type, {2, 3, 4, 5}};
        expect_shape(migraphx::shape{migraphx::shape::int64_type, {2, 1, 4, 5}},
                     migraphx::make_op("argmin", {{"axis", 1}}),
                     input);
    }

    {
        migraphx::shape input{migraphx::shape::half_type, {2, 3, 4, 5}};
        expect_shape(migraphx::shape{migraphx::shape::int64_type, {2, 3, 1, 5}},
                     migraphx::make_op("argmin", {{"axis", 2}}),
                     input);
    }

    {
        migraphx::shape input{migraphx::shape::half_type, {2, 3, 4, 5}};
        expect_shape(migraphx::shape{migraphx::shape::int64_type, {2, 3, 4, 1}},
                     migraphx::make_op("argmin", {{"axis", 3}}),
                     input);
turneram's avatar
turneram committed
1706
    }
Shucai Xiao's avatar
Shucai Xiao committed
1707
1708
1709
1710
1711
1712
1713
1714
1715
1716
1717
1718
1719
1720
1721
1722
1723
1724
1725
1726

    {
        migraphx::shape input{migraphx::shape::float_type, {2, 3, 4, 5}};
        throws_shape(migraphx::make_op("argmin", {{"axis", 4}}), input);
    }
}

TEST_CASE(test_scalar)
{
    migraphx::shape s1{migraphx::shape::float_type, {1}, {1}};
    migraphx::shape s2{migraphx::shape::float_type, {2, 3, 4, 5}, {0, 0, 0, 0}};
    expect_shape(s2, migraphx::make_op("scalar", {{"scalar_bcst_dims", {2, 3, 4, 5}}}), s1);
}

TEST_CASE(test_scalar_nelemnts)
{
    migraphx::shape input{migraphx::shape::float_type, {2, 3, 4, 5}};
    throws_shape(migraphx::make_op("scalar", {{"scalar_bcst_dims", {2, 3, 4, 5}}}), input);
}

turneram's avatar
turneram committed
1727
1728
1729
1730
1731
1732
1733
1734
1735
1736
1737
1738
1739
1740
1741
1742
1743
1744
1745
1746
1747
1748
1749
TEST_CASE(test_scatternd)
{
    {
        // k > r
        auto dtype = migraphx::shape::float_type;
        auto itype = migraphx::shape::int64_type;
        migraphx::shape ds{dtype, {8}};
        migraphx::shape is{itype, {4, 2}};
        migraphx::shape us{dtype, {4}};
        throws_shape(migraphx::make_op("scatternd_none"), ds, is, us);
    }

    {
        // update.lens != indices.lens[0:q-1] ++ data.lens[k:r-1]
        auto dtype = migraphx::shape::float_type;
        auto itype = migraphx::shape::int64_type;
        migraphx::shape ds{dtype, {8}};
        migraphx::shape is{itype, {4, 1}};
        migraphx::shape us{dtype, {2, 2}};
        throws_shape(migraphx::make_op("scatternd_none"), ds, is, us);
    }
}

Shucai Xiao's avatar
Shucai Xiao committed
1750
1751
1752
1753
1754
1755
1756
1757
1758
1759
1760
1761
1762
1763
TEST_CASE(test_squeeze)
{
    migraphx::shape s1{migraphx::shape::float_type, {4, 1, 3, 1, 3}};
    migraphx::shape s2{migraphx::shape::float_type, {4, 1, 3, 3}};
    expect_shape(s2, migraphx::make_op("squeeze", {{"axes", {3}}}), s1);
}

TEST_CASE(test_squeeze_all)
{
    migraphx::shape s1{migraphx::shape::float_type, {1}};
    migraphx::shape s2{migraphx::shape::float_type};
    expect_shape(s2, migraphx::make_op("squeeze", {{"axes", {0}}}), s1);
}

1764
1765
1766
1767
1768
1769
1770
1771
1772
1773
1774
1775
1776
1777
1778
1779
1780
1781
1782
1783
1784
TEST_CASE(test_squeeze_transpose)
{
    migraphx::shape s1{migraphx::shape::float_type, {4, 4, 1}, {4, 1, 4}};
    migraphx::shape s2{migraphx::shape::float_type, {4, 4}, {4, 1}};
    expect_shape(s2, migraphx::make_op("squeeze", {{"axes", {2}}}), s1);
}

TEST_CASE(test_squeeze_multibroadcast)
{
    migraphx::shape s1{migraphx::shape::float_type, {2, 3, 1, 4}, {0, 1, 1, 0}};
    migraphx::shape s2{migraphx::shape::float_type, {2, 3, 4}, {0, 1, 0}};
    expect_shape(s2, migraphx::make_op("squeeze", {{"axes", {2}}}), s1);
}

TEST_CASE(test_squeeze_slice)
{
    migraphx::shape s1{migraphx::shape::float_type, {2, 3, 1, 4}, {108, 36, 6, 1}};
    migraphx::shape s2{migraphx::shape::float_type, {2, 3, 4}, {108, 36, 1}};
    expect_shape(s2, migraphx::make_op("squeeze", {{"axes", {2}}}), s1);
}

Shucai Xiao's avatar
Shucai Xiao committed
1785
1786
1787
1788
1789
1790
1791
1792
1793
1794
1795
1796
1797
1798
1799
TEST_CASE(test_squeeze_negative_axis)
{
    migraphx::shape s1{migraphx::shape::float_type, {4, 1, 3, 1, 3}};
    migraphx::shape s2{migraphx::shape::float_type, {4, 1, 3, 3}};
    expect_shape(s2, migraphx::make_op("squeeze", {{"axes", {-2}}}), s1);
}

TEST_CASE(test_squeeze_wrong_axis)
{
    migraphx::shape s1{migraphx::shape::float_type, {4, 1, 3, 1, 3}};
    throws_shape(migraphx::make_op("squeeze", {{"axes", {0}}}), s1);
}

TEST_CASE(test_unsqueeze)
{
1800
1801
    migraphx::shape s1{migraphx::shape::float_type, {4, 5, 3}};
    migraphx::shape s2{migraphx::shape::float_type, {4, 5, 1, 3}};
Shucai Xiao's avatar
Shucai Xiao committed
1802
1803
1804
    expect_shape(s2, migraphx::make_op("unsqueeze", {{"axes", {2}}}), s1);
}

1805
1806
1807
1808
1809
1810
1811
1812
1813
1814
1815
1816
1817
1818
1819
1820
1821
1822
1823
1824
1825
1826
1827
1828
1829
1830
1831
1832
1833
1834
1835
TEST_CASE(test_unsqueeze_step)
{
    migraphx::shape s1{migraphx::shape::float_type, {4, 5, 12}};
    migraphx::shape s2{migraphx::shape::float_type, {4, 5, 2, 6}};
    expect_shape(s2, migraphx::make_op("unsqueeze", {{"axes", {2}}, {"steps", {2}}}), s1);
}

TEST_CASE(test_unsqueeze_step_non_divisable)
{
    migraphx::shape s1{migraphx::shape::float_type, {4, 5, 3}};
    throws_shape(migraphx::make_op("unsqueeze", {{"axes", {2}}, {"steps", {2}}}), s1);
}

TEST_CASE(test_unsqueeze_step_zero)
{
    migraphx::shape s1{migraphx::shape::float_type, {4, 5, 12}};
    throws_shape(migraphx::make_op("unsqueeze", {{"axes", {2}}, {"steps", {0}}}), s1);
}

TEST_CASE(test_unsqueeze_step_at_end)
{
    migraphx::shape s1{migraphx::shape::float_type, {4, 5, 12}};
    throws_shape(migraphx::make_op("unsqueeze", {{"axes", {3}}, {"steps", {2}}}), s1);
}

TEST_CASE(test_unsqueeze_mismatch_step_axis)
{
    migraphx::shape s1{migraphx::shape::float_type, {4, 5, 12}};
    throws_shape(migraphx::make_op("unsqueeze", {{"axes", {2}}, {"steps", {2, 3}}}), s1);
}

Shucai Xiao's avatar
Shucai Xiao committed
1836
1837
TEST_CASE(test_unsqueeze_negative_axis)
{
1838
1839
    migraphx::shape s1{migraphx::shape::float_type, {4, 5, 3}};
    migraphx::shape s2{migraphx::shape::float_type, {4, 5, 1, 3}};
Shucai Xiao's avatar
Shucai Xiao committed
1840
1841
1842
1843
1844
1845
1846
1847
1848
1849
1850
1851
1852
1853
1854
1855
1856
1857
1858
1859
1860
1861
    expect_shape(s2, migraphx::make_op("unsqueeze", {{"axes", {-2}}}), s1);
}

TEST_CASE(test_unsqueeze_scalar)
{
    migraphx::shape s1{migraphx::shape::float_type, {1}, {0}};
    migraphx::shape s2{migraphx::shape::float_type, {1}, {1}};
    expect_shape(s2, migraphx::make_op("unsqueeze", {{"axes", {0}}}), s1);
}

TEST_CASE(test_unsqueeze_scalar_tensor1)
{
    migraphx::shape s{migraphx::shape::float_type, {4, 3, 3}, {0, 0, 0}};
    throws_shape(migraphx::make_op("unsqueeze", {{"axes", {-2}}}), s);
}

TEST_CASE(test_unsqueeze_scalar_tensor2)
{
    migraphx::shape s{migraphx::shape::float_type, {1, 1, 1}, {0, 0, 0}};
    throws_shape(migraphx::make_op("unsqueeze", {{"axes", {-2}}}), s);
}

1862
1863
1864
TEST_CASE(test_unsqueeze_transpose)
{
    migraphx::shape s1{migraphx::shape::float_type, {4, 4, 3}, {12, 1, 4}};
1865
    migraphx::shape s2{migraphx::shape::float_type, {4, 4, 1, 3}, {12, 1, 12, 4}};
1866
1867
1868
    expect_shape(s2, migraphx::make_op("unsqueeze", {{"axes", {2}}}), s1);
}

1869
1870
1871
1872
1873
1874
1875
TEST_CASE(test_unsqueeze_transpose_step)
{
    migraphx::shape s1{migraphx::shape::float_type, {4, 4, 6}, {24, 1, 4}};
    migraphx::shape s2{migraphx::shape::float_type, {4, 4, 2, 3}, {24, 1, 12, 4}};
    expect_shape(s2, migraphx::make_op("unsqueeze", {{"axes", {2}}, {"steps", {2}}}), s1);
}

1876
1877
1878
TEST_CASE(test_unsqueeze_multibroadcast)
{
    migraphx::shape s1{migraphx::shape::float_type, {2, 3, 4}, {0, 1, 0}};
1879
    migraphx::shape s2{migraphx::shape::float_type, {2, 3, 1, 4}, {0, 1, 0, 0}};
1880
1881
1882
1883
1884
1885
    expect_shape(s2, migraphx::make_op("unsqueeze", {{"axes", {2}}}), s1);
}

TEST_CASE(test_unsqueeze_slice)
{
    migraphx::shape s1{migraphx::shape::float_type, {2, 3, 4}, {108, 36, 1}};
1886
    migraphx::shape s2{migraphx::shape::float_type, {2, 3, 1, 4}, {108, 36, 4, 1}};
1887
1888
1889
1890
1891
1892
1893
1894
1895
1896
1897
1898
1899
1900
1901
1902
1903
1904
1905
1906
1907
1908
1909
1910
1911
1912
1913
1914
1915
1916
1917
    expect_shape(s2, migraphx::make_op("unsqueeze", {{"axes", {2}}}), s1);
}

TEST_CASE(test_unsqueeze_axis_zero)
{
    migraphx::shape s1{migraphx::shape::float_type, {2, 3, 4}};
    migraphx::shape s2{migraphx::shape::float_type, {1, 2, 3, 4}};
    expect_shape(s2, migraphx::make_op("unsqueeze", {{"axes", {0}}}), s1);
}

TEST_CASE(test_unsqueeze_axis_last)
{
    migraphx::shape s1{migraphx::shape::float_type, {2, 3, 4}};
    migraphx::shape s2{migraphx::shape::float_type, {2, 3, 4, 1}};
    expect_shape(s2, migraphx::make_op("unsqueeze", {{"axes", {-1}}}), s1);
}

TEST_CASE(test_unsqueeze_multiple_axes_1)
{
    migraphx::shape s1{migraphx::shape::float_type, {2, 3, 4}};
    migraphx::shape s2{migraphx::shape::float_type, {1, 2, 3, 4, 1}};
    expect_shape(s2, migraphx::make_op("unsqueeze", {{"axes", {0, -1}}}), s1);
}

TEST_CASE(test_unsqueeze_multiple_axes_2)
{
    migraphx::shape s1{migraphx::shape::float_type, {2, 3, 4}};
    migraphx::shape s2{migraphx::shape::float_type, {1, 1, 2, 3, 4}};
    expect_shape(s2, migraphx::make_op("unsqueeze", {{"axes", {0, 1}}}), s1);
}

1918
1919
1920
1921
1922
1923
1924
1925
1926
1927
1928
1929
1930
1931
1932
1933
1934
1935
1936
1937
1938
TEST_CASE(test_unsqueeze_multiple_axes_3)
{
    migraphx::shape s1{migraphx::shape::float_type, {3, 4, 5}};
    migraphx::shape s2{migraphx::shape::float_type, {3, 4, 1, 5, 1, 1}};
    expect_shape(s2, migraphx::make_op("unsqueeze", {{"axes", {2, 4, 5}}}), s1);
}

TEST_CASE(test_unsqueeze_multiple_axes_4)
{
    migraphx::shape s1{migraphx::shape::float_type, {3, 4, 5}};
    migraphx::shape s2{migraphx::shape::float_type, {3, 4, 1, 5, 1, 1}};
    expect_shape(s2, migraphx::make_op("unsqueeze", {{"axes", {5, 4, 2}}}), s1);
}

TEST_CASE(test_unsqueeze_multiple_axes_step)
{
    migraphx::shape s1{migraphx::shape::float_type, {3, 4, 10}};
    migraphx::shape s2{migraphx::shape::float_type, {3, 4, 2, 5, 1, 1}};
    expect_shape(s2, migraphx::make_op("unsqueeze", {{"axes", {2, 4, 5}}, {"steps", {2}}}), s1);
}

Shucai Xiao's avatar
Shucai Xiao committed
1939
1940
1941
1942
TEST_CASE(transpose_shape)
{
    migraphx::shape input{migraphx::shape::float_type, {2, 2}};
    migraphx::shape output{migraphx::shape::float_type, {2, 2}, {1, 2}};
1943
1944
1945
    expect_shape(input, migraphx::make_op("transpose", {{"permutation", {0, 1}}}), input);
    expect_shape(output, migraphx::make_op("transpose", {{"permutation", {1, 0}}}), input);
    throws_shape(migraphx::make_op("transpose", {{"permutation", {1, 2}}}), input);
turneram's avatar
turneram committed
1946
1947
}

Shucai Xiao's avatar
Shucai Xiao committed
1948
1949
1950
1951
1952
1953
1954
1955
1956
1957
1958
1959
1960
1961
1962
1963
1964
1965
1966
TEST_CASE(step_test)
{
    migraphx::shape s1{migraphx::shape::float_type, {1, 2, 4}};
    {
        migraphx::shape s2{migraphx::shape::float_type, {1, 1, 2}, {8, 8, 3}};
        expect_shape(s2, migraphx::make_op("step", {{"axes", {1, 2}}, {"steps", {2, 3}}}), s1);
    }

    {
        migraphx::shape s{migraphx::shape::float_type, {1, 2, 4}};
        throws_shape(migraphx::make_op("step", {{"axes", {1, 2}}, {"steps", {1}}}), s1);
    }

    {
        migraphx::shape s{migraphx::shape::float_type, {1, 2, 4}};
        throws_shape(migraphx::make_op("step", {{"axes", {2, 3}}, {"steps", {2, 3}}}), s1);
    }
}

1967
1968
1969
1970
1971
1972
1973
1974
1975
TEST_CASE(unary_scalar_input)
{
    migraphx::shape ss{migraphx::shape::half_type};
    expect_shape(ss, migraphx::make_op("sin"), ss);

    migraphx::shape s{migraphx::shape::float_type, {1}};
    expect_shape(s, migraphx::make_op("sin"), s);
}

1976
1977
1978
1979
1980
1981
1982
TEST_CASE(unary_broadcast_input)
{
    migraphx::shape ss{migraphx::shape::half_type, {2, 3}, {1, 0}};
    migraphx::shape s{migraphx::shape::half_type, {2, 3}};
    expect_shape(s, migraphx::make_op("sin"), ss);
}

turneram's avatar
turneram committed
1983
1984
1985
1986
1987
1988
1989
1990
TEST_CASE(where_broadcast_input)
{
    migraphx::shape s1{migraphx::shape::float_type, {2, 2}, {3, 0}};
    migraphx::shape s2{migraphx::shape::float_type, {2, 2}};
    migraphx::shape s3{migraphx::shape::bool_type, {2, 2}};
    expect_shape(s2, migraphx::make_op("where"), s3, s1, s2);
}

Shucai Xiao's avatar
Shucai Xiao committed
1991
1992
1993
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
TEST_CASE(roialign_test)
{
    migraphx::shape sx{migraphx::shape::float_type, {3, 4, 5, 6}};
    migraphx::shape srois{migraphx::shape::float_type, {2, 4}};
    migraphx::shape sbi{migraphx::shape::int64_type, {2}};
    migraphx::shape sout{migraphx::shape::float_type, {2, 4, 1, 1}};

    expect_shape(sout, migraphx::make_op("roialign"), sx, srois, sbi);

    migraphx::shape sbi1{migraphx::shape::int64_type, {2, 3}};
    throws_shape(migraphx::make_op("roialign"), sx, srois, sbi1);

    migraphx::shape sbi2{migraphx::shape::int64_type, {3}};
    throws_shape(migraphx::make_op("roialign"), sx, srois, sbi2);

    migraphx::shape srois1{migraphx::shape::float_type, {2, 4, 3}};
    throws_shape(migraphx::make_op("roialign"), sx, srois1, sbi);

    migraphx::shape srois2{migraphx::shape::float_type, {2, 3}};
    throws_shape(migraphx::make_op("roialign"), sx, srois2, sbi);
}

Paul's avatar
Paul committed
2013
int main(int argc, const char* argv[]) { test::run(argc, argv); }