1 /*
2 * Copyright (c) 2020-2022 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/NEMaxUnpoolingLayer.h"
26 #include "arm_compute/runtime/NEON/functions/NEPoolingLayer.h"
27 #include "arm_compute/runtime/Tensor.h"
28 #include "arm_compute/runtime/TensorAllocator.h"
29 #include "src/cpu/kernels/CpuMaxUnpoolingLayerKernel.h"
30 #include "tests/NEON/Accessor.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/MaxUnpoolingLayerFixture.h"
37 namespace arm_compute
38 {
39 namespace test
40 {
41 namespace validation
42 {
43 TEST_SUITE(NEON)
44 TEST_SUITE(PoolingLayer)
45
46 template <typename T>
47 using NEMaxUnpoolingLayerFixture = MaxUnpoolingLayerValidationFixture<Tensor, Accessor, NEPoolingLayer, NEMaxUnpoolingLayer, T>;
48
49 const auto PoolingLayerIndicesDatasetFPSmall = combine(combine(framework::dataset::make("PoolType", { PoolingType::MAX }), framework::dataset::make("PoolingSize", { Size2D(2, 2) })),
50 framework::dataset::make("PadStride", { PadStrideInfo(2, 2, 0, 0), PadStrideInfo(2, 1, 0, 0) }));
51
52 TEST_SUITE(Float)
TEST_SUITE(FP32)53 TEST_SUITE(FP32)
54 FIXTURE_DATA_TEST_CASE(MaxUnpooling, NEMaxUnpoolingLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallNoneUnitShapes(), combine(PoolingLayerIndicesDatasetFPSmall,
55 framework::dataset::make("DataType", DataType::F32))),
56 framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })
57
58 ))
59 {
60 // Validate output
61 validate(Accessor(_target), _reference);
62 }
63 TEST_SUITE_END() // FP32
64 #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
TEST_SUITE(FP16)65 TEST_SUITE(FP16)
66 FIXTURE_DATA_TEST_CASE(MaxUnpooling, NEMaxUnpoolingLayerFixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallNoneUnitShapes(), combine(PoolingLayerIndicesDatasetFPSmall,
67 framework::dataset::make("DataType", DataType::F16))),
68 framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })
69
70 ))
71 {
72 // Validate output
73 validate(Accessor(_target), _reference);
74 }
75 TEST_SUITE_END() // FP16
76 #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
77
TEST_SUITE_END()78 TEST_SUITE_END() // Float
79
80 TEST_SUITE(KernelSelection)
81
82 DATA_TEST_CASE(KernelSelection, framework::DatasetMode::ALL,
83 combine(framework::dataset::make("CpuExt", std::string("NEON")),
84 framework::dataset::make("DataType", { DataType::F32,
85 DataType::F16,
86 DataType::QASYMM8,
87 DataType::QASYMM8_SIGNED
88 })),
89 cpu_ext, data_type)
90 {
91 using namespace cpu::kernels;
92
93 cpuinfo::CpuIsaInfo cpu_isa{};
94 cpu_isa.neon = (cpu_ext == "NEON");
95 cpu_isa.sve = (cpu_ext == "SVE");
96 cpu_isa.fp16 = (data_type == DataType::F16);
97
98 const auto *selected_impl = CpuMaxUnpoolingLayerKernel::get_implementation(DataTypeISASelectorData{ data_type, cpu_isa }, cpu::KernelSelectionType::Preferred);
99
100 ARM_COMPUTE_ERROR_ON_NULLPTR(selected_impl);
101
102 std::string expected = lower_string(cpu_ext) + "_" + cpu_impl_dt(data_type) + "_maxunpooling";
103 std::string actual = selected_impl->name;
104
105 ARM_COMPUTE_EXPECT_EQUAL(expected, actual, framework::LogLevel::ERRORS);
106 }
107 TEST_SUITE_END() // KernelSelection
108 TEST_SUITE_END() // PoolingLayer
109 TEST_SUITE_END() // Neon
110 } // namespace validation
111 } // namespace test
112 } // namespace arm_compute
113