1 /*
2 * Copyright (c) 2017-2021 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/NEDequantizationLayer.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/DatatypeDataset.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/DequantizationLayerFixture.h"
37
38 namespace arm_compute
39 {
40 namespace test
41 {
42 namespace validation
43 {
44 namespace
45 {
46 #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
47 const auto data_types = framework::dataset::make("DataType", { DataType::F16, DataType::F32 });
48 #else /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
49 const auto data_types = framework::dataset::make("DataType", { DataType::F32 });
50 #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
51
52 const auto dataset_quant_f32 = combine(combine(combine(datasets::SmallShapes(), datasets::QuantizedTypes()),
53 framework::dataset::make("DataType", DataType::F32)),
54 framework::dataset::make("DataLayout", { DataLayout::NCHW }));
55 const auto dataset_quant_f16 = combine(combine(combine(datasets::SmallShapes(), datasets::QuantizedTypes()),
56 framework::dataset::make("DataType", DataType::F16)),
57 framework::dataset::make("DataLayout", { DataLayout::NCHW }));
58 const auto dataset_quant_asymm_signed_f32 = combine(combine(combine(datasets::SmallShapes(),
59 framework::dataset::make("QuantizedTypes", { DataType::QASYMM8_SIGNED })),
60 framework::dataset::make("DataType", DataType::F32)),
61 framework::dataset::make("DataLayout", { DataLayout::NCHW }));
62 const auto dataset_quant_asymm_signed_f16 = combine(combine(combine(datasets::SmallShapes(),
63 framework::dataset::make("QuantizedTypes", { DataType::QASYMM8_SIGNED })),
64 framework::dataset::make("DataType", DataType::F16)),
65 framework::dataset::make("DataLayout", { DataLayout::NCHW }));
66 const auto dataset_quant_per_channel_f32 = combine(combine(combine(datasets::SmallShapes(), datasets::QuantizedPerChannelTypes()),
67 framework::dataset::make("DataType", DataType::F32)),
68 framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }));
69 const auto dataset_quant_per_channel_f16 = combine(combine(combine(datasets::SmallShapes(), datasets::QuantizedPerChannelTypes()),
70 framework::dataset::make("DataType", DataType::F16)),
71 framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }));
72 const auto dataset_quant_nightly_f32 = combine(combine(combine(datasets::LargeShapes(), datasets::QuantizedTypes()),
73 framework::dataset::make("DataType", DataType::F32)),
74 framework::dataset::make("DataLayout", { DataLayout::NCHW }));
75 const auto dataset_quant_nightly_f16 = combine(combine(combine(datasets::LargeShapes(), datasets::QuantizedTypes()),
76 framework::dataset::make("DataType", DataType::F16)),
77 framework::dataset::make("DataLayout", { DataLayout::NCHW }));
78 const auto dataset_quant_per_channel_nightly_f32 = combine(combine(combine(datasets::LargeShapes(), datasets::QuantizedPerChannelTypes()),
79 framework::dataset::make("DataType", DataType::F32)),
80 framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }));
81 const auto dataset_quant_per_channel_nightly_f16 = combine(combine(combine(datasets::LargeShapes(), datasets::QuantizedPerChannelTypes()),
82 framework::dataset::make("DataType", DataType::F16)),
83 framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }));
84
85 const auto dataset_precommit_f16 = concat(concat(dataset_quant_f16, dataset_quant_per_channel_f16), dataset_quant_asymm_signed_f16);
86 const auto dataset_precommit_f32 = concat(concat(dataset_quant_f32, dataset_quant_per_channel_f32), dataset_quant_asymm_signed_f32);
87 const auto dataset_nightly_f16 = concat(dataset_quant_f16, dataset_quant_per_channel_f16);
88 const auto dataset_nightly_f32 = concat(dataset_quant_f32, dataset_quant_per_channel_f32);
89
90 } // namespace
91
92 TEST_SUITE(NEON)
TEST_SUITE(DequantizationLayer)93 TEST_SUITE(DequantizationLayer)
94
95 // *INDENT-OFF*
96 // clang-format off
97 DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(
98 framework::dataset::make("InputInfo", { TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::F32), // Wrong input data type
99 TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::QASYMM8), // Wrong output data type
100 TensorInfo(TensorShape(16U, 16U, 2U, 5U), 1, DataType::QASYMM8), // Missmatching shapes
101 TensorInfo(TensorShape(17U, 16U, 16U, 5U), 1, DataType::QASYMM8), // Valid
102 TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::QASYMM8), // Valid
103 TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::QASYMM8_SIGNED), // Valid
104 }),
105 framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::F32),
106 TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::U8),
107 TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::F32),
108 TensorInfo(TensorShape(17U, 16U, 16U, 5U), 1, DataType::F32),
109 TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::F32),
110 TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::F32),
111 })),
112 framework::dataset::make("Expected", { false, false, false, true, true, true })),
113 input_info, output_info, expected)
114 {
115 ARM_COMPUTE_EXPECT(bool(NEDequantizationLayer::validate(&input_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false))) == expected, framework::LogLevel::ERRORS);
116 }
117 // clang-format on
118 // *INDENT-ON*
119
120 template <typename T>
121 using NEDequantizationLayerFixture = DequantizationValidationFixture<Tensor, Accessor, NEDequantizationLayer, T>;
122
123 #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
124 TEST_SUITE(FP16)
FIXTURE_DATA_TEST_CASE(RunSmall,NEDequantizationLayerFixture<half>,framework::DatasetMode::PRECOMMIT,dataset_precommit_f16)125 FIXTURE_DATA_TEST_CASE(RunSmall, NEDequantizationLayerFixture<half>, framework::DatasetMode::PRECOMMIT, dataset_precommit_f16)
126 {
127 // Validate output
128 validate(Accessor(_target), _reference);
129 }
FIXTURE_DATA_TEST_CASE(RunLarge,NEDequantizationLayerFixture<half>,framework::DatasetMode::NIGHTLY,dataset_nightly_f16)130 FIXTURE_DATA_TEST_CASE(RunLarge, NEDequantizationLayerFixture<half>, framework::DatasetMode::NIGHTLY, dataset_nightly_f16)
131 {
132 // Validate output
133 validate(Accessor(_target), _reference);
134 }
135 TEST_SUITE_END() // FP16
136 #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
137
TEST_SUITE(FP32)138 TEST_SUITE(FP32)
139 FIXTURE_DATA_TEST_CASE(RunSmall, NEDequantizationLayerFixture<float>, framework::DatasetMode::PRECOMMIT, dataset_precommit_f32)
140 {
141 // Validate output
142 validate(Accessor(_target), _reference);
143 }
FIXTURE_DATA_TEST_CASE(RunLarge,NEDequantizationLayerFixture<float>,framework::DatasetMode::NIGHTLY,dataset_nightly_f32)144 FIXTURE_DATA_TEST_CASE(RunLarge, NEDequantizationLayerFixture<float>, framework::DatasetMode::NIGHTLY, dataset_nightly_f32)
145 {
146 // Validate output
147 validate(Accessor(_target), _reference);
148 }
149 TEST_SUITE_END() // FP32
150
151 TEST_SUITE_END() // DequantizationLayer
152 TEST_SUITE_END() // Neon
153 } // namespace validation
154 } // namespace test
155 } // namespace arm_compute
156