Compute Library
 23.11
Transpose.cpp
Go to the documentation of this file.
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"
28 #include "tests/NEON/Accessor.h"
30 #include "tests/datasets/ShapeDatasets.h"
32 #include "tests/framework/Macros.h"
35 #include "tests/validation/fixtures/TransposeFixture.h"
36 
37 namespace arm_compute
38 {
39 namespace test
40 {
41 namespace validation
42 {
43 TEST_SUITE(NEON)
44 TEST_SUITE(Transpose)
45 
46 // *INDENT-OFF*
47 // clang-format off
48 DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(
49  framework::dataset::make("InputInfo", { TensorInfo(TensorShape(21U, 13U), 1, DataType::U16), // Invalid shape
50  TensorInfo(TensorShape(20U, 13U), 1, DataType::U8), // Wrong data type
53  }),
54  framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(21U, 13U), 1, DataType::U16),
55  TensorInfo(TensorShape(31U, 20U), 1, DataType::U16),
56  TensorInfo(TensorShape(16U, 20U), 1, DataType::U16),
57  TensorInfo(TensorShape(16U, 20U), 1, DataType::U32),
58  })),
59  framework::dataset::make("Expected", { false, false, true, true })),
60  a_info, output_info, expected)
61 {
62  // Lock tensors
63  Status status = NETranspose::validate(&a_info.clone()->set_is_resizable(false),
64  &output_info.clone()->set_is_resizable(false));
66 }
67 // clang-format on
68 // *INDENT-ON*
69 
70 template <typename T>
71 using NETransposeFixture = TransposeValidationFixture<Tensor, Accessor, NETranspose, T>;
72 
73 TEST_SUITE(U8)
74 FIXTURE_DATA_TEST_CASE(RunSmall, NETransposeFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(concat(datasets::Small1DShapes(), datasets::Small2DShapes()),
75  framework::dataset::make("DataType", DataType::U8)))
76 {
77  // Validate output
78  validate(Accessor(_target), _reference);
79 }
80 FIXTURE_DATA_TEST_CASE(RunLarge, NETransposeFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(concat(datasets::Large1DShapes(), datasets::Large2DShapes()),
82 {
83  // Validate output
84  validate(Accessor(_target), _reference);
85 }
87 
88 TEST_SUITE(U16)
89 FIXTURE_DATA_TEST_CASE(RunSmall, NETransposeFixture<uint16_t>, framework::DatasetMode::PRECOMMIT, combine(concat(datasets::Small1DShapes(), datasets::Small2DShapes()),
90  framework::dataset::make("DataType", DataType::U16)))
91 {
92  // Validate output
93  validate(Accessor(_target), _reference);
94 }
95 FIXTURE_DATA_TEST_CASE(RunLarge, NETransposeFixture<uint16_t>, framework::DatasetMode::NIGHTLY, combine(concat(datasets::Large1DShapes(), datasets::Large2DShapes()),
97 {
98  // Validate output
99  validate(Accessor(_target), _reference);
100 }
102 
103 TEST_SUITE(U32)
104 FIXTURE_DATA_TEST_CASE(RunSmall, NETransposeFixture<uint32_t>, framework::DatasetMode::PRECOMMIT, combine(concat(datasets::Small1DShapes(), datasets::Small2DShapes()),
105  framework::dataset::make("DataType", DataType::U32)))
106 {
107  // Validate output
108  validate(Accessor(_target), _reference);
109 }
110 FIXTURE_DATA_TEST_CASE(RunLarge, NETransposeFixture<uint32_t>, framework::DatasetMode::NIGHTLY, combine(concat(datasets::Large1DShapes(), datasets::Large2DShapes()),
112 {
113  // Validate output
114  validate(Accessor(_target), _reference);
115 }
117 
120 } // namespace validation
121 } // namespace test
122 } // 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::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::combine
combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::F32)))
Definition: AbsLayer.cpp:65
arm_compute::NETranspose::validate
static Status validate(const ITensorInfo *input, const ITensorInfo *output)
Static function to check if given info will lead to a valid configuration of NETranspose.
Definition: NETranspose.cpp:57
arm_compute::DataType::U16
@ U16
unsigned 16-bit number
arm_compute::TensorShape
Shape of a tensor.
Definition: TensorShape.h:39
Types.h
arm_compute::test::Accessor
Accessor implementation for Tensor objects.
Definition: Accessor.h:35
arm_compute::test::validation::NETransposeFixture
TransposeValidationFixture< Tensor, Accessor, NETranspose, T > NETransposeFixture
Definition: Transpose.cpp:71
arm_compute::test::validation::validate
validate(CLAccessor(output_state), expected_output)
arm_compute::utils::cast::U
U
Definition: SaturateCast.h:65
TensorAllocator.h
arm_compute::test::validation::output_info
output_info
Definition: DirectConvolutionLayer.cpp:547
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
Accessor.h
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
NETranspose.h
Validation.h
arm_compute::TensorInfo
Store the tensor's metadata.
Definition: TensorInfo.h:41
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::test::framework::DatasetMode
DatasetMode
Possible dataset modes.
Definition: DatasetModes.h:40
arm_compute::DataType
DataType
Available data types.
Definition: CoreTypes.h:83
arm_compute::test::framework::LogLevel::ERRORS
@ ERRORS