Compute Library
 23.08
Permute.cpp
Go to the documentation of this file.
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"
28 #include "tests/NEON/Accessor.h"
30 #include "tests/datasets/ShapeDatasets.h"
32 #include "tests/framework/Macros.h"
35 #include "tests/validation/fixtures/PermuteFixture.h"
36 
37 namespace arm_compute
38 {
39 namespace test
40 {
41 namespace validation
42 {
43 namespace
44 {
45 const auto PermuteVectors2 = framework::dataset::make("PermutationVector",
46 {
47  PermutationVector(0U, 1U),
48  PermutationVector(1U, 0U),
49 });
50 const auto PermuteVectors3 = framework::dataset::make("PermutationVector",
51 {
52  PermutationVector(2U, 0U, 1U),
53  PermutationVector(1U, 2U, 0U),
54  PermutationVector(0U, 1U, 2U),
55  PermutationVector(0U, 2U, 1U),
56  PermutationVector(1U, 0U, 2U),
57  PermutationVector(2U, 1U, 0U),
58 });
59 const auto PermuteVectors4 = framework::dataset::make("PermutationVector",
60 {
61  PermutationVector(3U, 2U, 0U, 1U),
62  PermutationVector(3U, 2U, 1U, 0U),
63  PermutationVector(2U, 3U, 1U, 0U),
64  PermutationVector(1U, 3U, 2U, 0U),
65  PermutationVector(3U, 1U, 2U, 0U),
66  PermutationVector(3U, 0U, 2U, 1U),
67  PermutationVector(0U, 3U, 2U, 1U)
68 });
69 const auto PermuteVectors = concat(concat(PermuteVectors2, PermuteVectors3), PermuteVectors4);
70 const auto PermuteParametersSmall = concat(concat(datasets::Small2DShapes(), datasets::Small3DShapes()), datasets::Small4DShapes()) * PermuteVectors;
71 const auto PermuteParametersLarge = datasets::Large4DShapes() * PermuteVectors;
72 } // namespace
73 TEST_SUITE(NEON)
74 TEST_SUITE(Permute)
75 
76 // *INDENT-OFF*
77 // clang-format off
79  framework::dataset::make("InputInfo",{
80  TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), // permutation not supported
81  TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), // permutation not supported
82  TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), // permutation not supported
83  TensorInfo(TensorShape(1U, 7U), 1, DataType::U8), // invalid input size
84  TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), // valid
85  TensorInfo(TensorShape(27U, 13U, 37U, 2U), 1, DataType::F32), // valid
86  TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16), // permutation not supported
87  TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::S16), // permutation not supported
88  TensorInfo(TensorShape(27U, 13U, 37U, 2U), 1, DataType::F32), // permutation not supported
89  TensorInfo(TensorShape(27U, 13U, 37U, 2U), 1, DataType::F32), // permutation not supported
90  TensorInfo(TensorShape(27U, 13U, 37U, 2U), 1, DataType::F32) // permutation not supported
91 
92  }),
93  framework::dataset::make("OutputInfo", {
94  TensorInfo(TensorShape(5U, 7U, 7U, 3U), 1, DataType::U16),
95  TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16),
96  TensorInfo(TensorShape(7U, 7U, 5U, 3U), 1, DataType::U16),
97  TensorInfo(TensorShape(5U, 7U), 1, DataType::U8),
98  TensorInfo(TensorShape(5U, 7U, 7U, 3U), 1, DataType::U16),
99  TensorInfo(TensorShape(13U, 37U, 27U, 2U), 1, DataType::F32),
100  TensorInfo(TensorShape(5U, 7U, 7U, 3U), 1, DataType::U16),
101  TensorInfo(TensorShape(3U, 5U, 7U, 7U), 1, DataType::S16),
102  TensorInfo(TensorShape(13U, 37U, 27U, 2U), 1, DataType::F32),
103  TensorInfo(TensorShape(37U, 2U, 13U, 27U), 1, DataType::F32),
104  TensorInfo(TensorShape(37U, 2U, 13U, 27U), 1, DataType::F32)
105 
106  })),
107  framework::dataset::make("PermutationVector", {
108  PermutationVector(2U, 1U, 0U),
109  PermutationVector(2U, 2U, 1U),
110  PermutationVector(1U, 1U, 1U),
111  PermutationVector(2U, 0U, 1U),
112  PermutationVector(2U, 0U, 1U),
113  PermutationVector(1U, 2U, 0U),
114  PermutationVector(3U, 2U, 0U, 1U),
115  PermutationVector(3U, 2U, 0U, 1U),
116  PermutationVector(2U, 3U, 1U, 0U),
117  PermutationVector(2U, 3U, 1U, 0U),
118  PermutationVector(0U, 0U, 0U, 1000U)
119  })),
120  framework::dataset::make("Expected", { true, false, false, false, true, true, false,true, false, true, false })),
121  input_info, output_info, perm_vect, expected)
122 {
123  ARM_COMPUTE_EXPECT(bool(NEPermute::validate(&input_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false), perm_vect)) == expected, framework::LogLevel::ERRORS);
124 }
125 // clang-format on
126 // *INDENT-ON*
127 
128 template <typename T>
129 using NEPermuteFixture = PermuteValidationFixture<Tensor, Accessor, NEPermute, T>;
130 
131 TEST_SUITE(U8)
132 FIXTURE_DATA_TEST_CASE(RunSmall, NEPermuteFixture<uint8_t>, framework::DatasetMode::PRECOMMIT,
133  PermuteParametersSmall * framework::dataset::make("DataType", DataType::U8))
134 {
135  // Validate output
136  validate(Accessor(_target), _reference);
137 }
138 
140  PermuteParametersLarge * framework::dataset::make("DataType", DataType::U8))
141 {
142  // Validate output
143  validate(Accessor(_target), _reference);
144 }
146 
147 TEST_SUITE(U16)
148 FIXTURE_DATA_TEST_CASE(RunSmall, NEPermuteFixture<uint16_t>, framework::DatasetMode::PRECOMMIT,
149  PermuteParametersSmall * framework::dataset::make("DataType", DataType::U16))
150 {
151  // Validate output
152  validate(Accessor(_target), _reference);
153 }
155  PermuteParametersLarge * framework::dataset::make("DataType", DataType::U16))
156 {
157  // Validate output
158  validate(Accessor(_target), _reference);
159 }
161 
162 TEST_SUITE(U32)
163 FIXTURE_DATA_TEST_CASE(RunSmall, NEPermuteFixture<uint32_t>, framework::DatasetMode::PRECOMMIT,
164  PermuteParametersSmall * framework::dataset::make("DataType", DataType::U32))
165 {
166  // Validate output
167  validate(Accessor(_target), _reference);
168 }
170  PermuteParametersLarge * framework::dataset::make("DataType", DataType::U32))
171 {
172  // Validate output
173  validate(Accessor(_target), _reference);
174 }
176 
179 } // namespace validation
180 } // namespace test
181 } // namespace arm_compute
Datasets.h
arm_compute::test::validation::TEST_SUITE_END
TEST_SUITE_END() FIXTURE_DATA_TEST_CASE(RunSmall
[CLActivationLayer Test snippet]
Definition: DequantizationLayer.cpp:111
PaddingCalculator.h
arm_compute::test::validation::input_info
input_info
Definition: DirectConvolutionLayer.cpp:547
arm_compute::test::validation::FIXTURE_DATA_TEST_CASE
FIXTURE_DATA_TEST_CASE(RunSmall, CLAbsLayerFixture< half >, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::F16)))
Definition: AbsLayer.cpp:50
arm_compute::test::validation::DATA_TEST_CASE
DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QSYMM16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QSYMM16), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QSYMM16), }), framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::QASYMM8), TensorInfo(TensorShape(30U, 11U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QSYMM16, QuantizationInfo(1.f/32768.f, 0)), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QSYMM16, QuantizationInfo(1.f/32768.f, 0)), TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::QSYMM16, QuantizationInfo(1.f/32768.f, 0)), })), framework::dataset::make("ActivationInfo", { ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::TANH), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::TANH), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LOGISTIC), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::SQRT), })), framework::dataset::make("Expected", { false, true, true, true, false, false, true, true, false })), input_info, output_info, act_info, expected)
Definition: ActivationLayer.cpp:100
arm_compute::test::validation::NEPermuteFixture
PermuteValidationFixture< Tensor, Accessor, NEPermute, T > NEPermuteFixture
Definition: Permute.cpp:129
arm_compute::DataType::U16
@ U16
unsigned 16-bit number
Types.h
arm_compute::test::Accessor
Accessor implementation for Tensor objects.
Definition: Accessor.h:35
arm_compute::test::validation::validate
validate(CLAccessor(output_state), expected_output)
arm_compute::PermutationVector
Strides PermutationVector
Permutation vector.
Definition: CoreTypes.h:37
TensorAllocator.h
arm_compute::test::validation::output_info
output_info
Definition: DirectConvolutionLayer.cpp:547
arm_compute::test::framework::DatasetMode::ALL
@ ALL
NEPermute.h
arm_compute::DataType::U32
@ U32
unsigned 32-bit number
arm_compute::test::validation::ARM_COMPUTE_EXPECT
ARM_COMPUTE_EXPECT(has_error==expected, framework::LogLevel::ERRORS)
arm_compute::test::framework::dataset::concat
JoinDataset< T, U > concat(T &&dataset1, U &&dataset2)
Helper function to create a JoinDataset.
Definition: JoinDataset.h:160
arm_compute::test::framework::DatasetMode::NIGHTLY
@ NIGHTLY
arm_compute::DataType::U8
@ U8
unsigned 8-bit number
Asserts.h
arm_compute::NEPermute::validate
static Status validate(const ITensorInfo *input, const ITensorInfo *output, const PermutationVector &perm)
Static function to check if given info will lead to a valid configuration of NEPermute.
Definition: NEPermute.cpp:55
Accessor.h
arm_compute::DataType::S16
@ S16
signed 16-bit number
Macros.h
Tensor.h
arm_compute::test::framework::dataset::make
std::enable_if< is_container< T >::value, ContainerDataset< T > >::type make(std::string name, T &&values)
Helper function to create a ContainerDataset.
Definition: ContainerDataset.h:160
Validation.h
arm_compute::test::validation::zip
zip(zip(framework::dataset::make("Weights", { TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U, 2U), 1, DataType::F32), TensorInfo(TensorShape(32U, 13U, 2U, 1U), 1, DataType::F32), }), framework::dataset::make("MVBGInfo",{ TensorInfo(TensorShape(2U), 1, DataType::F32), TensorInfo(TensorShape(2U), 1, DataType::F16), TensorInfo(TensorShape(5U), 1, DataType::F32), })), framework::dataset::make("Expected", { true, false, false}))
arm_compute
Copyright (c) 2017-2023 Arm Limited.
Definition: introduction.dox:24
arm_compute::test::validation::TEST_SUITE
TEST_SUITE(QASYMM8_to_F32) FIXTURE_DATA_TEST_CASE(RunSmall
arm_compute::test::validation::expected
expected
Definition: BatchNormalizationLayer.cpp:166
arm_compute::DataType::F32
@ F32
32-bit floating-point number
arm_compute::test::framework::DatasetMode
DatasetMode
Possible dataset modes.
Definition: DatasetModes.h:40
arm_compute::DataType
DataType
Available data types.
Definition: CoreTypes.h:82
arm_compute::test::framework::LogLevel::ERRORS
@ ERRORS