Compute Library
 21.02
Transpose.cpp
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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  }),
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 
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 
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
Shape of a tensor.
Definition: TensorShape.h:39
1 channel, 1 U8 per channel
ARM_COMPUTE_EXPECT(has_error==expected, framework::LogLevel::ERRORS)
1 channel, 1 U16 per channel
std::enable_if< is_container< T >::value, ContainerDataset< T > >::type make(std::string name, T &&values)
Helper function to create a ContainerDataset.
Status class.
Definition: Error.h:52
Copyright (c) 2017-2021 Arm Limited.
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)
Accessor implementation for Tensor objects.
Definition: Accessor.h:35
DatasetMode
Possible dataset modes.
Definition: DatasetModes.h:40
1 channel, 1 U32 per channel
TEST_SUITE_END() FIXTURE_DATA_TEST_CASE(RunSmall
[CLActivationLayer Test snippet]
TEST_SUITE(U8_to_S8) FIXTURE_DATA_TEST_CASE(RunSmall
validate(CLAccessor(output_state), expected_output)
FIXTURE_DATA_TEST_CASE(RunSmall, CLAbsLayerFixture< half >, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::F16)))
Definition: AbsLayer.cpp:50
Store the tensor&#39;s metadata.
Definition: TensorInfo.h:45
JoinDataset< T, U > concat(T &&dataset1, U &&dataset2)
Helper function to create a JoinDataset.
Definition: JoinDataset.h:160
TransposeValidationFixture< Tensor, Accessor, NETranspose, T > NETransposeFixture
Definition: Transpose.cpp:71
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}))
DataType
Available data types.
Definition: Types.h:77
combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::F32)))
Definition: AbsLayer.cpp:65
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:39