1 /*
2 * Copyright (c) 2018-2020 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/CL/CLTensor.h"
26 #include "arm_compute/runtime/CL/CLTensorAllocator.h"
27 #include "arm_compute/runtime/CL/functions/CLSpaceToBatchLayer.h"
28 #include "tests/CL/CLAccessor.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/Helpers.h"
36 #include "tests/validation/Validation.h"
37 #include "tests/validation/fixtures/SpaceToBatchFixture.h"
38
39 namespace arm_compute
40 {
41 namespace test
42 {
43 namespace validation
44 {
45 TEST_SUITE(CL)
46 TEST_SUITE(SpaceToBatchLayer)
47
48 template <typename T>
49 using CLSpaceToBatchLayerFixture = SpaceToBatchLayerValidationFixture<CLTensor, CLAccessor, CLSpaceToBatchLayer, T>;
50
51 // *INDENT-OFF*
52 // clang-format off
53 DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(
54 framework::dataset::make("InputInfo", { TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32),
55 TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), // Mismatching data types
56 TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), // Wrong data type block shape
57 TensorInfo(TensorShape(32U, 13U, 2U, 2U, 4U), 1, DataType::F32), // Wrong tensor shape
58 }),
59 framework::dataset::make("BlockShapeInfo",{ TensorInfo(TensorShape(2U), 1, DataType::S32),
60 TensorInfo(TensorShape(2U), 1, DataType::S32),
61 TensorInfo(TensorShape(2U), 1, DataType::F16),
62 TensorInfo(TensorShape(2U), 1, DataType::S32),
63 })),
64 framework::dataset::make("PaddingsShapeInfo",{ TensorInfo(TensorShape(2U, 2U), 1, DataType::S32),
65 TensorInfo(TensorShape(2U, 2U), 1, DataType::S32),
66 TensorInfo(TensorShape(2U, 2U), 1, DataType::F16),
67 TensorInfo(TensorShape(2U, 2U), 1, DataType::S32),
68 })),
69 framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 13U, 2U, 2U), 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, false, false, false})),
75 input_info, block_shape_info, paddings_info, output_info, expected)
76 {
77 bool has_error = bool(CLSpaceToBatchLayer::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)));
78 ARM_COMPUTE_EXPECT(has_error == expected, framework::LogLevel::ERRORS);
79 }
80 DATA_TEST_CASE(ValidateStatic, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(
81 framework::dataset::make("InputInfo", { TensorInfo(TensorShape(32U, 16U, 2U, 1U), 1, DataType::F32),
82 TensorInfo(TensorShape(32U, 16U, 2U, 1U), 1, DataType::F32), // Mismatching data types
83 TensorInfo(TensorShape(32U, 16U, 2U, 1U), 1, DataType::F32), // Negative block shapes
84 TensorInfo(TensorShape(32U, 16U, 2U, 1U, 4U), 1, DataType::F32), // Wrong tensor shape
85 TensorInfo(TensorShape(32U, 16U, 2U, 1U, 4U), 1, DataType::F32), // Wrong paddings
86 }),
87 framework::dataset::make("BlockShapeX", { 2, 2, 2, 2, 2 })),
88 framework::dataset::make("BlockShapeY", { 2, 2, -2, 2, 2 })),
89 framework::dataset::make("PadLeft", { Size2D(0, 0), Size2D(0, 0), Size2D(0, 0), Size2D(0, 0), Size2D(3, 11) })),
90 framework::dataset::make("PadRight", { Size2D(0, 0), Size2D(0, 0), Size2D(0, 0), Size2D(0, 0), Size2D(3, 11) })),
91 framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(16U, 8U, 2U, 4U), 1, DataType::F32),
92 TensorInfo(TensorShape(32U, 8U, 2U, 4U), 1, DataType::F16),
93 TensorInfo(TensorShape(32U, 8U, 2U, 4U), 1, DataType::F32),
94 TensorInfo(TensorShape(32U, 8U, 2U, 4U), 1, DataType::F32),
95 TensorInfo(TensorShape(32U, 8U, 2U, 4U), 1, DataType::F32),
96 })),
97 framework::dataset::make("Expected", { true, false, false, false, false})),
98 input_info, block_shape_x, block_shape_y, padding_left, padding_right, output_info, expected)
99 {
100 bool has_error = bool(CLSpaceToBatchLayer::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)));
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(Small, CLSpaceToBatchLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallSpaceToBatchLayerDataset(),
109 framework::dataset::make("DataType", DataType::F32)),
110 framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))
111 {
112 // Validate output
113 validate(CLAccessor(_target), _reference);
114 }
115 FIXTURE_DATA_TEST_CASE(Large, CLSpaceToBatchLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeSpaceToBatchLayerDataset(),
116 framework::dataset::make("DataType", DataType::F32)),
117 framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))
118 {
119 // Validate output
120 validate(CLAccessor(_target), _reference);
121 }
122 TEST_SUITE_END() // FP32
123
TEST_SUITE(FP16)124 TEST_SUITE(FP16)
125 FIXTURE_DATA_TEST_CASE(Small, CLSpaceToBatchLayerFixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallSpaceToBatchLayerDataset(),
126 framework::dataset::make("DataType", DataType::F16)),
127 framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))
128 {
129 // Validate output
130 validate(CLAccessor(_target), _reference);
131 }
132 FIXTURE_DATA_TEST_CASE(Large, CLSpaceToBatchLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeSpaceToBatchLayerDataset(),
133 framework::dataset::make("DataType", DataType::F16)),
134 framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))
135 {
136 // Validate output
137 validate(CLAccessor(_target), _reference);
138 }
139 TEST_SUITE_END() // FP16
140 TEST_SUITE_END() // Float
141
142 template <typename T>
143 using CLSpaceToBatchLayerQuantizedFixture = SpaceToBatchLayerValidationQuantizedFixture<CLTensor, CLAccessor, CLSpaceToBatchLayer, T>;
144
145 TEST_SUITE(Quantized)
TEST_SUITE(QASYMM8)146 TEST_SUITE(QASYMM8)
147 FIXTURE_DATA_TEST_CASE(Small, CLSpaceToBatchLayerQuantizedFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallSpaceToBatchLayerDataset(),
148 framework::dataset::make("DataType", DataType::QASYMM8)),
149 framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
150 framework::dataset::make("QuantizationInfo", { 1.f / 255.f, 9.f })))
151 {
152 // Validate output
153 validate(CLAccessor(_target), _reference);
154 }
155 FIXTURE_DATA_TEST_CASE(Large, CLSpaceToBatchLayerQuantizedFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeSpaceToBatchLayerDataset(),
156 framework::dataset::make("DataType", DataType::QASYMM8)),
157 framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
158 framework::dataset::make("QuantizationInfo", { 1.f / 255.f, 9.f })))
159 {
160 // Validate output
161 validate(CLAccessor(_target), _reference);
162 }
163 TEST_SUITE_END() // QASYMM8
164 TEST_SUITE_END() // Quantized
165 TEST_SUITE_END() // SpaceToBatch
166 TEST_SUITE_END() // CL
167 } // namespace validation
168 } // namespace test
169 } // namespace arm_compute
170