Compute Library
 22.11
Permute.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/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 
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 
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
PermuteValidationFixture< Tensor, Accessor, NEPermute, T > NEPermuteFixture
Definition: Permute.cpp:129
1 channel, 1 U8 per channel
1 channel, 1 F32 per channel
ARM_COMPUTE_EXPECT(has_error==expected, framework::LogLevel::ERRORS)
Strides PermutationVector
Permutation vector.
Definition: Types.h:51
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
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.
Copyright (c) 2017-2022 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]
validate(CLAccessor(output_state), expected_output)
1 channel, 1 S16 per channel
FIXTURE_DATA_TEST_CASE(RunSmall, CLAbsLayerFixture< half >, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::F16)))
Definition: AbsLayer.cpp:50
JoinDataset< T, U > concat(T &&dataset1, U &&dataset2)
Helper function to create a JoinDataset.
Definition: JoinDataset.h:160
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}))
TEST_SUITE(QASYMM8_to_F32) FIXTURE_DATA_TEST_CASE(RunSmall
DataType
Available data types.
Definition: Types.h:79