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/NESpaceToBatchLayer.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/ShapeDatasets.h"
31 #include "tests/datasets/SpaceToBatchDataset.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/SpaceToBatchFixture.h"
37
38 namespace arm_compute
39 {
40 namespace test
41 {
42 namespace validation
43 {
44 TEST_SUITE(NEON)
45 TEST_SUITE(SpaceToBatchLayer)
46
47 template <typename T>
48 using NESpaceToBatchLayerFixture = SpaceToBatchLayerValidationFixture<Tensor, Accessor, NESpaceToBatchLayer, T>;
49
50 // *INDENT-OFF*
51 // clang-format off
52 DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(
53 framework::dataset::make("InputInfo", { TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32),
54 TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), // Mismatching data types
55 TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), // Wrong data type block shape
56 TensorInfo(TensorShape(32U, 13U, 2U, 2U, 4U), 1, DataType::F32), // Wrong tensor shape
57 }),
58 framework::dataset::make("BlockShapeInfo",{ TensorInfo(TensorShape(2U), 1, DataType::S32),
59 TensorInfo(TensorShape(2U), 1, DataType::S32),
60 TensorInfo(TensorShape(2U), 1, DataType::F16),
61 TensorInfo(TensorShape(2U), 1, DataType::S32),
62 })),
63 framework::dataset::make("PaddingsShapeInfo",{ TensorInfo(TensorShape(2U, 2U), 1, DataType::S32),
64 TensorInfo(TensorShape(2U, 2U), 1, DataType::S32),
65 TensorInfo(TensorShape(2U, 2U), 1, DataType::F16),
66 TensorInfo(TensorShape(2U, 2U), 1, DataType::S32),
67 })),
68 framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32),
69 TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F16),
70 TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32),
71 TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32),
72 })),
73 framework::dataset::make("Expected", { true, false, false, false})),
74 input_info, block_shape_info, paddings_info, output_info, expected)
75 {
76 bool has_error = bool(NESpaceToBatchLayer::validate(&input_info.clone()->set_is_resizable(false), &block_shape_info.clone()->set_is_resizable(false), &paddings_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false)));
77 ARM_COMPUTE_EXPECT(has_error == expected, framework::LogLevel::ERRORS);
78 }
79 DATA_TEST_CASE(ValidateStatic, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(
80 framework::dataset::make("InputInfo", { TensorInfo(TensorShape(32U, 16U, 2U, 1U), 1, DataType::F32),
81 TensorInfo(TensorShape(32U, 16U, 2U, 1U), 1, DataType::F32), // Mismatching data types
82 TensorInfo(TensorShape(32U, 16U, 2U, 1U), 1, DataType::F32), // Negative block shapes
83 TensorInfo(TensorShape(32U, 16U, 2U, 1U, 4U), 1, DataType::F32), // Wrong tensor shape
84 TensorInfo(TensorShape(32U, 16U, 2U, 1U, 4U), 1, DataType::F32), // Wrong paddings
85 }),
86 framework::dataset::make("BlockShapeX", { 2, 2, 2, 2, 2 })),
87 framework::dataset::make("BlockShapeY", { 2, 2, -2, 2, 2 })),
88 framework::dataset::make("PadLeft", { Size2D(0, 0), Size2D(0, 0), Size2D(0, 0), Size2D(0, 0), Size2D(3, 11) })),
89 framework::dataset::make("PadRight", { Size2D(0, 0), Size2D(0, 0), Size2D(0, 0), Size2D(0, 0), Size2D(3, 11) })),
90 framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(16U, 8U, 2U, 4U), 1, DataType::F32),
91 TensorInfo(TensorShape(32U, 8U, 2U, 4U), 1, DataType::F16),
92 TensorInfo(TensorShape(32U, 8U, 2U, 4U), 1, DataType::F32),
93 TensorInfo(TensorShape(32U, 8U, 2U, 4U), 1, DataType::F32),
94 TensorInfo(TensorShape(32U, 8U, 2U, 4U), 1, DataType::F32),
95 })),
96 framework::dataset::make("Expected", { true, false, false, false, false})),
97 input_info, block_shape_x, block_shape_y, padding_left, padding_right, output_info, expected)
98 {
99 bool has_error = bool(NESpaceToBatchLayer::validate(&input_info.clone()->set_is_resizable(false), block_shape_x, block_shape_y, padding_left, padding_right, &output_info.clone()->set_is_resizable(false)));
100 ARM_COMPUTE_EXPECT(has_error == expected, framework::LogLevel::ERRORS);
101 }
102 // clang-format on
103 // *INDENT-ON*
104
105 TEST_SUITE(Float)
TEST_SUITE(FP32)106 TEST_SUITE(FP32)
107 FIXTURE_DATA_TEST_CASE(Small, NESpaceToBatchLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallSpaceToBatchLayerDataset(), framework::dataset::make("DataType",
108 DataType::F32)),
109 framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))
110 {
111 // Validate output
112 validate(Accessor(_target), _reference);
113 }
114 FIXTURE_DATA_TEST_CASE(Large, NESpaceToBatchLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeSpaceToBatchLayerDataset(), framework::dataset::make("DataType",
115 DataType::F32)),
116 framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))
117 {
118 // Validate output
119 validate(Accessor(_target), _reference);
120 }
121 TEST_SUITE_END() // FP32
122
TEST_SUITE(FP16)123 TEST_SUITE(FP16)
124 FIXTURE_DATA_TEST_CASE(Small, NESpaceToBatchLayerFixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallSpaceToBatchLayerDataset(),
125 framework::dataset::make("DataType", DataType::F16)),
126 framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))
127 {
128 // Validate output
129 validate(Accessor(_target), _reference);
130 }
131 FIXTURE_DATA_TEST_CASE(Large, NESpaceToBatchLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeSpaceToBatchLayerDataset(),
132 framework::dataset::make("DataType", DataType::F16)),
133 framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))
134 {
135 // Validate output
136 validate(Accessor(_target), _reference);
137 }
138 TEST_SUITE_END() // FP16
139 TEST_SUITE_END() // Float
140
141 template <typename T>
142 using NESpaceToBatchLayerQuantizedFixture = SpaceToBatchLayerValidationQuantizedFixture<Tensor, Accessor, NESpaceToBatchLayer, T>;
143
144 TEST_SUITE(Quantized)
TEST_SUITE(QASYMM8)145 TEST_SUITE(QASYMM8)
146 FIXTURE_DATA_TEST_CASE(Small, NESpaceToBatchLayerQuantizedFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallSpaceToBatchLayerDataset(),
147 framework::dataset::make("DataType", DataType::QASYMM8)),
148 framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
149 framework::dataset::make("QuantizationInfo", { 1.f / 255.f, 9.f })))
150 {
151 // Validate output
152 validate(Accessor(_target), _reference);
153 }
154 FIXTURE_DATA_TEST_CASE(Large, NESpaceToBatchLayerQuantizedFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeSpaceToBatchLayerDataset(),
155 framework::dataset::make("DataType", DataType::QASYMM8)),
156 framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
157 framework::dataset::make("QuantizationInfo", { 1.f / 255.f, 9.f })))
158 {
159 // Validate output
160 validate(Accessor(_target), _reference);
161 }
162 TEST_SUITE_END() // QASYMM8
163 TEST_SUITE_END() // Quantized
164 TEST_SUITE_END() // SpaceToBatch
165 TEST_SUITE_END() // Neon
166 } // namespace validation
167 } // namespace test
168 } // namespace arm_compute
169