1 /*
2 * Copyright (c) 2019-2021 Arm Limited.
3 *
4 * SPDX-License-Identifier: MIT
5 *
6 * Permission is hereby granted, free of charge, to any person obtaining a copy
7 * of this software and associated documentation files (the "Software"), to
8 * deal in the Software without restriction, including without limitation the
9 * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
10 * sell copies of the Software, and to permit persons to whom the Software is
11 * furnished to do so, subject to the following conditions:
12 *
13 * The above copyright notice and this permission notice shall be included in all
14 * copies or substantial portions of the Software.
15 *
16 * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
17 * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
18 * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
19 * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
20 * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
21 * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
22 * SOFTWARE.
23 */
24 #include "arm_compute/core/Types.h"
25 #include "arm_compute/runtime/NEON/functions/NEBatchToSpaceLayer.h"
26 #include "arm_compute/runtime/Tensor.h"
27 #include "arm_compute/runtime/TensorAllocator.h"
28 #include "tests/NEON/Accessor.h"
29 #include "tests/PaddingCalculator.h"
30 #include "tests/datasets/BatchToSpaceDataset.h"
31 #include "tests/datasets/ShapeDatasets.h"
32 #include "tests/framework/Asserts.h"
33 #include "tests/framework/Macros.h"
34 #include "tests/framework/datasets/Datasets.h"
35 #include "tests/validation/Validation.h"
36 #include "tests/validation/fixtures/BatchToSpaceLayerFixture.h"
37
38 namespace arm_compute
39 {
40 namespace test
41 {
42 namespace validation
43 {
44 TEST_SUITE(NEON)
45 TEST_SUITE(BatchToSpaceLayer)
46
47 template <typename T>
48 using NEBatchToSpaceLayerFixture = BatchToSpaceLayerValidationFixture<Tensor, Accessor, NEBatchToSpaceLayer, T>;
49
50 // *INDENT-OFF*
51 // clang-format off
52 DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(
53 framework::dataset::make("InputInfo", { TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32),
54 TensorInfo(TensorShape(16U, 8U, 2U, 16U), 1, DataType::F32), // blockx != blocky && blockx > blocky
55 TensorInfo(TensorShape(16U, 8U, 2U, 16U), 1, DataType::F32), // blockx != blocky && blocky > blockx
56 TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), // Mismatching data types
57 TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), // Wrong data type block shape
58 TensorInfo(TensorShape(32U, 13U, 2U, 2U, 4U), 1, DataType::F32), // Wrong tensor shape
59 }),
60 framework::dataset::make("BlockShapeInfo",{ TensorInfo(TensorShape(2U, 2U), 1, DataType::S32),
61 TensorInfo(TensorShape(2U, 2U), 1, DataType::S32),
62 TensorInfo(TensorShape(2U, 4U), 1, DataType::S32),
63 TensorInfo(TensorShape(4U, 2U), 1, DataType::S32),
64 TensorInfo(TensorShape(2U, 2U), 1, DataType::F16),
65 TensorInfo(TensorShape(2U, 2U), 1, DataType::S32),
66 })),
67 framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32),
68 TensorInfo(TensorShape(64U, 16U, 2U, 1U), 1, DataType::F32),
69 TensorInfo(TensorShape(32U, 32U, 2U, 1U), 1, DataType::F32),
70 TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F16),
71 TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32),
72 TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32),
73 })),
74 framework::dataset::make("Expected", { true, true, true, false, false, false})),
75 input_info, block_shape_info, output_info, expected)
76 {
77 bool has_error = bool(NEBatchToSpaceLayer::validate(&input_info.clone()->set_is_resizable(false), &block_shape_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false)));
78 ARM_COMPUTE_EXPECT(has_error == expected, framework::LogLevel::ERRORS);
79 }
80 DATA_TEST_CASE(ValidateStatic, framework::DatasetMode::ALL, zip(zip(zip(zip(
81 framework::dataset::make("InputInfo", { TensorInfo(TensorShape(16U, 8U, 2U, 4U), 1, DataType::F32),
82 TensorInfo(TensorShape(16U, 8U, 2U, 16U), 1, DataType::F32), // blockx != blocky && blockx > blocky
83 TensorInfo(TensorShape(16U, 8U, 2U, 16U), 1, DataType::F32), // blockx != blocky && blocky > blockx
84 TensorInfo(TensorShape(16U, 8U, 2U, 4U), 1, DataType::F32), // Mismatching data types
85 TensorInfo(TensorShape(16U, 8U, 2U, 4U), 1, DataType::F32), // Negative block shapes
86 TensorInfo(TensorShape(32U, 16U, 2U, 4U, 4U), 1, DataType::F32), // Wrong tensor shape
87 }),
88 framework::dataset::make("BlockShapeX", { 2, 4, 2, 2, 2, 2 })),
89 framework::dataset::make("BlockShapeY", { 2, 2, 4, 2, -2, 2 })),
90 framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 16U, 2U, 1U), 1, DataType::F32),
91 TensorInfo(TensorShape(64U, 16U, 2U, 1U), 1, DataType::F32),
92 TensorInfo(TensorShape(32U, 32U, 2U, 1U), 1, DataType::F32),
93 TensorInfo(TensorShape(32U, 16U, 2U, 1U), 1, DataType::F16),
94 TensorInfo(TensorShape(32U, 16U, 2U, 1U), 1, DataType::F32),
95 TensorInfo(TensorShape(32U, 8U, 2U, 1U), 1, DataType::F32),
96 })),
97 framework::dataset::make("Expected", { true, true, true, false, false, false})),
98 input_info, block_shape_x, block_shape_y, output_info, expected)
99 {
100 bool has_error = bool(NEBatchToSpaceLayer::validate(&input_info.clone()->set_is_resizable(false), block_shape_x, block_shape_y, &output_info.clone()->set_is_resizable(false)));
101 ARM_COMPUTE_EXPECT(has_error == expected, framework::LogLevel::ERRORS);
102 }
103 // clang-format on
104 // *INDENT-ON*
105
106 TEST_SUITE(Float)
TEST_SUITE(FP32)107 TEST_SUITE(FP32)
108 FIXTURE_DATA_TEST_CASE(RunSmall, NEBatchToSpaceLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallBatchToSpaceLayerDataset(), framework::dataset::make("DataType",
109 DataType::F32)),
110 framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))
111 {
112 // Validate output
113 validate(Accessor(_target), _reference);
114 }
115 FIXTURE_DATA_TEST_CASE(RunLarge, NEBatchToSpaceLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeBatchToSpaceLayerDataset(), framework::dataset::make("DataType",
116 DataType::F32)),
117 framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))
118 {
119 // Validate output
120 validate(Accessor(_target), _reference);
121 }
122 TEST_SUITE_END()
123
TEST_SUITE(FP16)124 TEST_SUITE(FP16)
125 FIXTURE_DATA_TEST_CASE(RunSmall, NEBatchToSpaceLayerFixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallBatchToSpaceLayerDataset(), framework::dataset::make("DataType",
126 DataType::F16)),
127 framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))
128 {
129 // Validate output
130 validate(Accessor(_target), _reference);
131 }
132 FIXTURE_DATA_TEST_CASE(RunLarge, NEBatchToSpaceLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeBatchToSpaceLayerDataset(), framework::dataset::make("DataType",
133 DataType::F16)),
134 framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))
135 {
136 // Validate output
137 validate(Accessor(_target), _reference);
138 }
139 TEST_SUITE_END()
140 TEST_SUITE_END()
141
142 TEST_SUITE_END() // BatchToSpace
143 TEST_SUITE_END() // Neon
144 } // namespace validation
145 } // namespace test
146 } // namespace arm_compute
147