ngraph/test/backend/broadcast.in.cpp

   1 //*****************************************************************************
   2 // Copyright 2017-2020 Intel Corporation
   3 //
   4 // Licensed under the Apache License, Version 2.0 (the "License");
   5 // you may not use this file except in compliance with the License.
   6 // You may obtain a copy of the License at
   7 //
   8 //     http://www.apache.org/licenses/LICENSE-2.0
   9 //
  10 // Unless required by applicable law or agreed to in writing, software
  11 // distributed under the License is distributed on an "AS IS" BASIS,
  12 // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  13 // See the License for the specific language governing permissions and
  14 // limitations under the License.
  15 //*****************************************************************************
  16
  17 #include <algorithm>
  18 #include <cinttypes>
  19 #include <cmath>
  20 #include <cstdlib>
  21 #include <numeric>
  22 #include <random>
  23 #include <string>
  24
  25 #include "gtest/gtest.h"
  26 #include "ngraph/ngraph.hpp"
  27 #include "ngraph/runtime/tensor.hpp"
  28 #include "runtime/backend.hpp"
  29 #include "util/all_close.hpp"
  30 #include "util/all_close_f.hpp"
  31 #include "util/ndarray.hpp"
  32 #include "util/test_control.hpp"
  33 #include "util/test_tools.hpp"
  34
  35 NGRAPH_SUPPRESS_DEPRECATED_START
  36
  37 using namespace std;
  38 using namespace ngraph;
  39
  40 static string s_manifest = "${MANIFEST}";
  41
  42 NGRAPH_TEST(${BACKEND_NAME}, broadcast_scalar_vector)
  43 {
  44     Shape shape_a{};
  45     auto A = make_shared<op::Parameter>(element::f32, shape_a);
  46     Shape shape_r{4};
  47     auto f = make_shared<Function>(make_shared<op::Broadcast>(A, shape_r, AxisSet{0}),
  48                                    ParameterVector{A});
  49
  50     auto backend = runtime::Backend::create("${BACKEND_NAME}");
  51
  52     // Create some tensors for input/output
  53     auto a = backend->create_tensor(element::f32, shape_a);
  54     copy_data(a, vector<float>{6});
  55     auto result = backend->create_tensor(element::f32, shape_r);
  56
  57     auto handle = backend->compile(f);
  58     handle->call_with_validate({result}, {a});
  59     EXPECT_TRUE(test::all_close_f(
  60         (vector<float>{6, 6, 6, 6}), read_vector<float>(result), MIN_FLOAT_TOLERANCE_BITS));
  61 }
  62
  63 NGRAPH_TEST(${BACKEND_NAME}, broadcast_scalar_matrix)
  64 {
  65     Shape shape_a{};
  66     auto A = make_shared<op::Parameter>(element::f32, shape_a);
  67     Shape shape_r{2, 2};
  68     auto f = make_shared<Function>(make_shared<op::Broadcast>(A, shape_r, AxisSet{0, 1}),
  69                                    ParameterVector{A});
  70
  71     auto backend = runtime::Backend::create("${BACKEND_NAME}");
  72
  73     // Create some tensors for input/output
  74     auto a = backend->create_tensor(element::f32, shape_a);
  75     copy_data(a, vector<float>{6});
  76     auto result = backend->create_tensor(element::f32, shape_r);
  77
  78     auto handle = backend->compile(f);
  79     handle->call_with_validate({result}, {a});
  80     EXPECT_TRUE(test::all_close_f(
  81         (vector<float>{6, 6, 6, 6}), read_vector<float>(result), MIN_FLOAT_TOLERANCE_BITS));
  82 }
  83
  84 NGRAPH_TEST(${BACKEND_NAME}, broadcast_scalar_tensor)
  85 {
  86     Shape shape_a{};
  87     auto A = make_shared<op::Parameter>(element::f32, shape_a);
  88     Shape shape_r{2, 2, 2};
  89     auto f = make_shared<Function>(make_shared<op::Broadcast>(A, shape_r, AxisSet{0, 1, 2}),
  90                                    ParameterVector{A});
  91
  92     auto backend = runtime::Backend::create("${BACKEND_NAME}");
  93
  94     // Create some tensors for input/output
  95     auto a = backend->create_tensor(element::f32, shape_a);
  96     copy_data(a, vector<float>{6});
  97     auto result = backend->create_tensor(element::f32, shape_r);
  98
  99     auto handle = backend->compile(f);
 100     handle->call_with_validate({result}, {a});
 101     EXPECT_TRUE(test::all_close_f((vector<float>{6, 6, 6, 6, 6, 6, 6, 6}),
 102                                   read_vector<float>(result),
 103                                   MIN_FLOAT_TOLERANCE_BITS));
 104 }
 105
 106 NGRAPH_TEST(${BACKEND_NAME}, broadcast_trivial)
 107 {
 108     Shape shape{2, 2, 2};
 109     auto A = make_shared<op::Parameter>(element::f32, shape);
 110     auto f =
 111         make_shared<Function>(make_shared<op::Broadcast>(A, shape, AxisSet{}), ParameterVector{A});
 112
 113     auto backend = runtime::Backend::create("${BACKEND_NAME}");
 114
 115     // Create some tensors for input/output
 116     auto a = backend->create_tensor(element::f32, shape);
 117     copy_data(a, vector<float>{2, 4, 6, 8, 16, 32, 64, 128});
 118     auto result = backend->create_tensor(element::f32, shape);
 119
 120     auto handle = backend->compile(f);
 121     handle->call_with_validate({result}, {a});
 122     EXPECT_TRUE(test::all_close_f((vector<float>{2, 4, 6, 8, 16, 32, 64, 128}),
 123                                   read_vector<float>(result),
 124                                   MIN_FLOAT_TOLERANCE_BITS));
 125 }
 126
 127 NGRAPH_TEST(${BACKEND_NAME}, broadcast_vector_colwise)
 128 {
 129     Shape shape_a{3};
 130     auto A = make_shared<op::Parameter>(element::f32, shape_a);
 131     Shape shape_r{3, 4};
 132     auto f = make_shared<Function>(make_shared<op::Broadcast>(A, shape_r, AxisSet{1}),
 133                                    ParameterVector{A});
 134
 135     auto backend = runtime::Backend::create("${BACKEND_NAME}");
 136
 137     // Create some tensors for input/output
 138     auto a = backend->create_tensor(element::f32, shape_a);
 139     copy_data(a, vector<float>{1, 2, 3});
 140     auto result = backend->create_tensor(element::f32, shape_r);
 141
 142     auto handle = backend->compile(f);
 143     handle->call_with_validate({result}, {a});
 144     EXPECT_TRUE(test::all_close_f((vector<float>{1, 1, 1, 1, 2, 2, 2, 2, 3, 3, 3, 3}),
 145                                   read_vector<float>(result),
 146                                   MIN_FLOAT_TOLERANCE_BITS));
 147 }
 148
 149 NGRAPH_TEST(${BACKEND_NAME}, broadcast_vector_rowwise)
 150 {
 151     Shape shape_a{4};
 152     auto A = make_shared<op::Parameter>(element::f32, shape_a);
 153     Shape shape_r{3, 4};
 154     auto f = make_shared<Function>(make_shared<op::Broadcast>(A, shape_r, AxisSet{0}),
 155                                    ParameterVector{A});
 156
 157     auto backend = runtime::Backend::create("${BACKEND_NAME}");
 158
 159     // Create some tensors for input/output
 160     auto a = backend->create_tensor(element::f32, shape_a);
 161     copy_data(a, vector<float>{1, 2, 3, 4});
 162     auto result = backend->create_tensor(element::f32, shape_r);
 163
 164     auto handle = backend->compile(f);
 165     handle->call_with_validate({result}, {a});
 166     EXPECT_TRUE(test::all_close_f((vector<float>{1, 2, 3, 4, 1, 2, 3, 4, 1, 2, 3, 4}),
 167                                   read_vector<float>(result),
 168                                   MIN_FLOAT_TOLERANCE_BITS));
 169 }
 170
 171 // Test hybrid mechanism after broadcast
 172 NGRAPH_TEST(${BACKEND_NAME}, broadcast_vector_rowwise_reversed)
 173 {
 174     Shape shape_a{4};
 175     auto A = make_shared<op::Parameter>(element::f32, shape_a);
 176     Shape shape_r{3, 4};
 177     auto broadcast = make_shared<op::Broadcast>(A, shape_r, AxisSet{0});
 178     auto reverse = make_shared<op::Reverse>(broadcast, AxisSet{1});
 179     auto f = make_shared<Function>(reverse, ParameterVector{A});
 180
 181     auto backend = runtime::Backend::create("${BACKEND_NAME}");
 182
 183     // Create some tensors for input/output
 184     auto a = backend->create_tensor(element::f32, shape_a);
 185     copy_data(a, vector<float>{1, 2, 3, 4});
 186     auto result = backend->create_tensor(element::f32, shape_r);
 187
 188     auto handle = backend->compile(f);
 189     handle->call_with_validate({result}, {a});
 190     EXPECT_TRUE(test::all_close_f((vector<float>{4, 3, 2, 1, 4, 3, 2, 1, 4, 3, 2, 1}),
 191                                   read_vector<float>(result),
 192                                   MIN_FLOAT_TOLERANCE_BITS));
 193 }
 194
 195 NGRAPH_TEST(${BACKEND_NAME}, broadcast_vector_rowwise_int64)
 196 {
 197     Shape shape_a{4};
 198     auto A = make_shared<op::Parameter>(element::i64, shape_a);
 199     Shape shape_r{3, 4};
 200     auto f = make_shared<Function>(make_shared<op::Broadcast>(A, shape_r, AxisSet{0}),
 201                                    ParameterVector{A});
 202
 203     auto backend = runtime::Backend::create("${BACKEND_NAME}");
 204
 205     // Create some tensors for input/output
 206     auto a = backend->create_tensor(element::i64, shape_a);
 207     copy_data(a, vector<int64_t>{1, 2, 3, 4});
 208     auto result = backend->create_tensor(element::i64, shape_r);
 209
 210     auto handle = backend->compile(f);
 211     handle->call_with_validate({result}, {a});
 212     EXPECT_EQ((vector<int64_t>{1, 2, 3, 4, 1, 2, 3, 4, 1, 2, 3, 4}), read_vector<int64_t>(result));
 213 }
 214
 215 NGRAPH_TEST(${BACKEND_NAME}, broadcast_scalar_to_matrix_int64)
 216 {
 217     Shape shape_a{1};
 218     auto A = make_shared<op::Parameter>(element::i64, shape_a);
 219     Shape shape_r{3, 1};
 220     auto f = make_shared<Function>(make_shared<op::Broadcast>(A, shape_r, AxisSet{0}),
 221                                    ParameterVector{A});
 222
 223     auto backend = runtime::Backend::create("${BACKEND_NAME}");
 224
 225     // Create some tensors for input/output
 226     auto a = backend->create_tensor(element::i64, shape_a);
 227     copy_data(a, vector<int64_t>{4});
 228     auto result = backend->create_tensor(element::i64, shape_r);
 229
 230     auto handle = backend->compile(f);
 231     handle->call_with_validate({result}, {a});
 232     EXPECT_EQ((vector<int64_t>{4, 4, 4}), read_vector<int64_t>(result));
 233 }
 234
 235 NGRAPH_TEST(${BACKEND_NAME}, broadcast_scalar_to_matrix_int32)
 236 {
 237     Shape shape_a{1};
 238     auto A = make_shared<op::Parameter>(element::i32, shape_a);
 239     Shape shape_r{3, 1};
 240     auto f = make_shared<Function>(make_shared<op::Broadcast>(A, shape_r, AxisSet{0}),
 241                                    ParameterVector{A});
 242
 243     auto backend = runtime::Backend::create("${BACKEND_NAME}");
 244
 245     // Create some tensors for input/output
 246     auto a = backend->create_tensor(element::i32, shape_a);
 247     copy_data(a, vector<int32_t>{4});
 248     auto result = backend->create_tensor(element::i32, shape_r);
 249
 250     auto handle = backend->compile(f);
 251     handle->call_with_validate({result}, {a});
 252     EXPECT_EQ((vector<int32_t>{4, 4, 4}), read_vector<int32_t>(result));
 253 }
 254
 255 static void broadcast_test_helper(const Shape& shape_a, const Shape& shape_r, const AxisSet& axis)
 256 {
 257     auto A = make_shared<op::Parameter>(element::f32, shape_a);
 258
 259     vector<float> inp_data(shape_size<const Shape>(shape_a));
 260     iota(inp_data.begin(), inp_data.end(), 1.f);
 261
 262     auto f =
 263         make_shared<Function>(make_shared<op::Broadcast>(A, shape_r, axis), ParameterVector{A});
 264
 265     auto ref_backend = runtime::Backend::create("INTERPRETER");
 266     auto wrk_backend = runtime::Backend::create("${BACKEND_NAME}");
 267
 268     auto wrk_a = wrk_backend->create_tensor(element::f32, shape_a);
 269     copy_data(wrk_a, inp_data);
 270
 271     auto ref_a = ref_backend->create_tensor(element::f32, shape_a);
 272     copy_data(ref_a, inp_data);
 273
 274     auto wrk_result = wrk_backend->create_tensor(element::f32, shape_r);
 275     auto ref_result = ref_backend->create_tensor(element::f32, shape_r);
 276
 277     auto wrk_handle = wrk_backend->compile(f);
 278     auto ref_handle = ref_backend->compile(f);
 279     wrk_handle->call_with_validate({wrk_result}, {wrk_a});
 280     ref_handle->call_with_validate({ref_result}, {ref_a});
 281     EXPECT_TRUE(test::all_close_f(
 282         read_vector<float>(ref_result), read_vector<float>(wrk_result), MIN_FLOAT_TOLERANCE_BITS));
 283 }
 284
 285 NGRAPH_TEST(${BACKEND_NAME}, broadcast_algo_vector_middle)
 286 {
 287     Shape shape_a{2};
 288     Shape shape_r{3, 2, 4};
 289     AxisSet axis{0, 2};
 290     broadcast_test_helper(shape_a, shape_r, axis);
 291 }
 292
 293 NGRAPH_TEST(${BACKEND_NAME}, broadcast_algo_vector_forward_2)
 294 {
 295     Shape shape_a{2};
 296     Shape shape_r{3, 2};
 297     AxisSet axis{0};
 298     broadcast_test_helper(shape_a, shape_r, axis);
 299 }
 300
 301 NGRAPH_TEST(${BACKEND_NAME}, broadcast_algo_vector_forward_3)
 302 {
 303     Shape shape_a{2};
 304     Shape shape_r{4, 3, 2};
 305     AxisSet axis{0, 1};
 306     broadcast_test_helper(shape_a, shape_r, axis);
 307 }
 308 NGRAPH_TEST(${BACKEND_NAME}, broadcast_algo_vector_forward_4)
 309 {
 310     Shape shape_a{2};
 311     Shape shape_r{5, 4, 3, 2};
 312     AxisSet axis{0, 1, 2};
 313     broadcast_test_helper(shape_a, shape_r, axis);
 314 }
 315
 316 NGRAPH_TEST(${BACKEND_NAME}, broadcast_algo_scalar)
 317 {
 318     Shape shape_a{};
 319     Shape shape_r{5, 4, 3, 2};
 320     AxisSet axis{0, 1, 2, 3};
 321     broadcast_test_helper(shape_a, shape_r, axis);
 322 }
 323
 324 NGRAPH_TEST(${BACKEND_NAME}, broadcast_algo_vector_backward_2)
 325 {
 326     Shape shape_a{2};
 327     Shape shape_r{2, 3};
 328     AxisSet axis{1};
 329     broadcast_test_helper(shape_a, shape_r, axis);
 330 }
 331
 332 NGRAPH_TEST(${BACKEND_NAME}, broadcast_algo_vector_backward_3)
 333 {
 334     Shape shape_a{2};
 335     Shape shape_r{2, 3, 4};
 336     AxisSet axis{1, 2};
 337     broadcast_test_helper(shape_a, shape_r, axis);
 338 }
 339
 340 NGRAPH_TEST(${BACKEND_NAME}, broadcast_algo_vector_backward_4)
 341 {
 342     Shape shape_a{2};
 343     Shape shape_r{2, 3, 4, 5};
 344     AxisSet axis{1, 2, 3};
 345     broadcast_test_helper(shape_a, shape_r, axis);
 346 }
 347
 348 NGRAPH_TEST(${BACKEND_NAME}, broadcast_algo_matrix_backward_4)
 349 {
 350     Shape shape_a{4, 5};
 351     Shape shape_r{2, 3, 4, 5};
 352     AxisSet axis{0, 1};
 353     broadcast_test_helper(shape_a, shape_r, axis);
 354 }
 355
 356 NGRAPH_TEST(${BACKEND_NAME}, broadcast_algo_matrix_stride_1)
 357 {
 358     Shape shape_a{3, 5};
 359     Shape shape_r{2, 3, 4, 5};
 360     AxisSet axis{0, 2};
 361     broadcast_test_helper(shape_a, shape_r, axis);
 362 }
 363
 364 NGRAPH_TEST(${BACKEND_NAME}, broadcast_algo_matrix_stride_2)
 365 {
 366     Shape shape_a{3, 4};
 367     Shape shape_r{2, 3, 4, 5};
 368     AxisSet axis{0, 3};
 369     broadcast_test_helper(shape_a, shape_r, axis);
 370 }
 371
 372 NGRAPH_TEST(${BACKEND_NAME}, broadcast_algo_matrix_stride_3)
 373 {
 374     Shape shape_a{2, 4};
 375     Shape shape_r{2, 3, 4, 5};
 376     AxisSet axis{1, 3};
 377     broadcast_test_helper(shape_a, shape_r, axis);
 378 }
 379
 380 NGRAPH_TEST(${BACKEND_NAME}, broadcast_algo_3d_backward)
 381 {
 382     Shape shape_a{2, 3, 4};
 383     Shape shape_r{5, 2, 3, 4};
 384     AxisSet axis{0};
 385     broadcast_test_helper(shape_a, shape_r, axis);
 386 }
 387
 388 NGRAPH_TEST(${BACKEND_NAME}, broadcast_algo_3d_stride_1)
 389 {
 390     Shape shape_a{2, 3, 4};
 391     Shape shape_r{2, 5, 3, 4};
 392     AxisSet axis{1};
 393     broadcast_test_helper(shape_a, shape_r, axis);
 394 }
 395
 396 NGRAPH_TEST(${BACKEND_NAME}, broadcast_algo_3d_stride_2)
 397 {
 398     Shape shape_a{2, 3, 4};
 399     Shape shape_r{2, 3, 5, 4};
 400     AxisSet axis{2};
 401     broadcast_test_helper(shape_a, shape_r, axis);
 402 }
 403
 404 NGRAPH_TEST(${BACKEND_NAME}, broadcast_matrix_0)
 405 {
 406     Shape shape_a{2, 2};
 407     auto A = make_shared<op::Parameter>(element::f32, shape_a);
 408     Shape shape_r{2, 2, 2};
 409     auto f = make_shared<Function>(make_shared<op::Broadcast>(A, shape_r, AxisSet{0}),
 410                                    ParameterVector{A});
 411
 412     auto backend = runtime::Backend::create("${BACKEND_NAME}");
 413
 414     // Create some tensors for input/output
 415     auto a = backend->create_tensor(element::f32, shape_a);
 416     copy_data(a, vector<float>{1, 2, 3, 4});
 417     auto result = backend->create_tensor(element::f32, shape_r);
 418
 419     auto handle = backend->compile(f);
 420     handle->call_with_validate({result}, {a});
 421     EXPECT_TRUE(test::all_close_f((vector<float>{1, 2, 3, 4, 1, 2, 3, 4}),
 422                                   read_vector<float>(result),
 423                                   MIN_FLOAT_TOLERANCE_BITS));
 424 }
 425
 426 NGRAPH_TEST(${BACKEND_NAME}, broadcast_matrix_1)
 427 {
 428     Shape shape_a{2, 2};
 429     auto A = make_shared<op::Parameter>(element::f32, shape_a);
 430     Shape shape_r{2, 2, 2};
 431     auto f = make_shared<Function>(make_shared<op::Broadcast>(A, shape_r, AxisSet{1}),
 432                                    ParameterVector{A});
 433
 434     auto backend = runtime::Backend::create("${BACKEND_NAME}");
 435
 436     // Create some tensors for input/output
 437     auto a = backend->create_tensor(element::f32, shape_a);
 438     copy_data(a, vector<float>{1, 2, 3, 4});
 439     auto result = backend->create_tensor(element::f32, shape_r);
 440
 441     auto handle = backend->compile(f);
 442     handle->call_with_validate({result}, {a});
 443     EXPECT_TRUE(test::all_close_f((vector<float>{1, 2, 1, 2, 3, 4, 3, 4}),
 444                                   read_vector<float>(result),
 445                                   MIN_FLOAT_TOLERANCE_BITS));
 446 }
 447
 448 NGRAPH_TEST(${BACKEND_NAME}, broadcast_matrix_2)
 449 {
 450     Shape shape_a{2, 2};
 451     auto A = make_shared<op::Parameter>(element::f32, shape_a);
 452     Shape shape_r{2, 2, 2};
 453     auto f = make_shared<Function>(make_shared<op::Broadcast>(A, shape_r, AxisSet{2}),
 454                                    ParameterVector{A});
 455
 456     auto backend = runtime::Backend::create("${BACKEND_NAME}");
 457
 458     // Create some tensors for input/output
 459     auto a = backend->create_tensor(element::f32, shape_a);
 460     copy_data(a, vector<float>{1, 2, 3, 4});
 461     auto result = backend->create_tensor(element::f32, shape_r);
 462
 463     auto handle = backend->compile(f);
 464     handle->call_with_validate({result}, {a});
 465     EXPECT_TRUE(test::all_close_f((vector<float>{1, 1, 2, 2, 3, 3, 4, 4}),
 466                                   read_vector<float>(result),
 467                                   MIN_FLOAT_TOLERANCE_BITS));
 468 }