1 /*
2 * Copyright (c) 2017-2020 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/CLDequantizationLayer.h"
28 #include "tests/CL/CLAccessor.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 const auto dataset_quant_f32 = combine(combine(combine(datasets::SmallShapes(), datasets::QuantizedTypes()),
47 framework::dataset::make("DataType", DataType::F32)),
48 framework::dataset::make("DataLayout", { DataLayout::NCHW }));
49 const auto dataset_quant_f16 = combine(combine(combine(datasets::SmallShapes(), datasets::QuantizedTypes()),
50 framework::dataset::make("DataType", DataType::F16)),
51 framework::dataset::make("DataLayout", { DataLayout::NCHW }));
52 const auto dataset_quant_per_channel_f32 = combine(combine(combine(datasets::SmallShapes(), datasets::QuantizedPerChannelTypes()),
53 framework::dataset::make("DataType", DataType::F32)),
54 framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }));
55 const auto dataset_quant_per_channel_f16 = combine(combine(combine(datasets::SmallShapes(), datasets::QuantizedPerChannelTypes()),
56 framework::dataset::make("DataType", DataType::F16)),
57 framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }));
58 const auto dataset_quant_nightly_f32 = combine(combine(combine(datasets::LargeShapes(), datasets::QuantizedTypes()),
59 framework::dataset::make("DataType", DataType::F32)),
60 framework::dataset::make("DataLayout", { DataLayout::NCHW }));
61 const auto dataset_quant_nightly_f16 = combine(combine(combine(datasets::LargeShapes(), datasets::QuantizedTypes()),
62 framework::dataset::make("DataType", DataType::F16)),
63 framework::dataset::make("DataLayout", { DataLayout::NCHW }));
64 const auto dataset_quant_per_channel_nightly_f32 = combine(combine(combine(datasets::LargeShapes(), datasets::QuantizedPerChannelTypes()),
65 framework::dataset::make("DataType", DataType::F32)),
66 framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }));
67 const auto dataset_quant_per_channel_nightly_f16 = combine(combine(combine(datasets::LargeShapes(), datasets::QuantizedPerChannelTypes()),
68 framework::dataset::make("DataType", DataType::F16)),
69 framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC }));
70 } // namespace
71 TEST_SUITE(CL)
TEST_SUITE(DequantizationLayer)72 TEST_SUITE(DequantizationLayer)
73
74 // *INDENT-OFF*
75 // clang-format off
76 DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(
77 framework::dataset::make("InputInfo", { TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::F32), // Wrong input data type
78 TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::QASYMM8), // Wrong output data type
79 TensorInfo(TensorShape(16U, 16U, 2U, 5U), 1, DataType::QASYMM8), // Missmatching shapes
80 TensorInfo(TensorShape(17U, 16U, 16U, 5U), 1, DataType::QASYMM8), // Valid
81 TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::QASYMM8), // Valid
82 }),
83 framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::F32),
84 TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::U8),
85 TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::F32),
86 TensorInfo(TensorShape(17U, 16U, 16U, 5U), 1, DataType::F32),
87 TensorInfo(TensorShape(16U, 16U, 16U, 5U), 1, DataType::F32),
88 })),
89 framework::dataset::make("Expected", { false, false, false, true, true})),
90 input_info, output_info, expected)
91 {
92 ARM_COMPUTE_EXPECT(bool(CLDequantizationLayer::validate(&input_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false))) == expected, framework::LogLevel::ERRORS);
93 }
94 // clang-format on
95 // *INDENT-ON*
96
97 template <typename T>
98 using CLDequantizationLayerFixture = DequantizationValidationFixture<CLTensor, CLAccessor, CLDequantizationLayer, T>;
99
100 TEST_SUITE(FP16)
FIXTURE_DATA_TEST_CASE(RunSmall,CLDequantizationLayerFixture<half>,framework::DatasetMode::PRECOMMIT,concat (dataset_quant_f16,dataset_quant_per_channel_f16))101 FIXTURE_DATA_TEST_CASE(RunSmall, CLDequantizationLayerFixture<half>, framework::DatasetMode::PRECOMMIT, concat(dataset_quant_f16, dataset_quant_per_channel_f16))
102 {
103 // Validate output
104 validate(CLAccessor(_target), _reference);
105 }
FIXTURE_DATA_TEST_CASE(RunLarge,CLDequantizationLayerFixture<half>,framework::DatasetMode::NIGHTLY,concat (dataset_quant_nightly_f16,dataset_quant_per_channel_nightly_f16))106 FIXTURE_DATA_TEST_CASE(RunLarge, CLDequantizationLayerFixture<half>, framework::DatasetMode::NIGHTLY, concat(dataset_quant_nightly_f16, dataset_quant_per_channel_nightly_f16))
107 {
108 // Validate output
109 validate(CLAccessor(_target), _reference);
110 }
111 TEST_SUITE_END() // FP16
112
TEST_SUITE(FP32)113 TEST_SUITE(FP32)
114 FIXTURE_DATA_TEST_CASE(RunSmall, CLDequantizationLayerFixture<float>, framework::DatasetMode::PRECOMMIT, concat(dataset_quant_f32, dataset_quant_per_channel_f32))
115 {
116 // Validate output
117 validate(CLAccessor(_target), _reference);
118 }
FIXTURE_DATA_TEST_CASE(RunLarge,CLDequantizationLayerFixture<float>,framework::DatasetMode::NIGHTLY,concat (dataset_quant_nightly_f32,dataset_quant_per_channel_nightly_f32))119 FIXTURE_DATA_TEST_CASE(RunLarge, CLDequantizationLayerFixture<float>, framework::DatasetMode::NIGHTLY, concat(dataset_quant_nightly_f32, dataset_quant_per_channel_nightly_f32))
120 {
121 // Validate output
122 validate(CLAccessor(_target), _reference);
123 }
124 TEST_SUITE_END() // FP32
125
126 TEST_SUITE_END() // DequantizationLayer
127 TEST_SUITE_END() // CL
128 } // namespace validation
129 } // namespace test
130 } // namespace arm_compute
131