Compute Library
 22.05
Flatten.cpp
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2  * Copyright (c) 2017-2021 Arm Limited.
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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/FlattenLayerFixture.h"
36 
37 namespace arm_compute
38 {
39 namespace test
40 {
41 namespace validation
42 {
43 TEST_SUITE(NEON)
44 TEST_SUITE(FlattenLayer)
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(4U, 4U, 4U), 1, DataType::U8), // Mismatching data_type
50  TensorInfo(TensorShape(4U, 5U, 4U), 1, DataType::F32), // Mismatching shapes
51  TensorInfo(TensorShape(4U, 4U, 4U), 1, DataType::F32), // Valid
52  }),
56  })),
57  framework::dataset::make("Expected", { false, false, true})),
59 {
60  ARM_COMPUTE_EXPECT(bool(NEFlattenLayer::validate(&input_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false))) == expected, framework::LogLevel::ERRORS);
61 }
62 // clang-format on
63 // *INDENT-ON*
64 
65 template <typename T>
66 using NEFlattenLayerFixture = FlattenLayerValidationFixture<Tensor, Accessor, NEFlattenLayer, T>;
67 
68 TEST_SUITE(Float)
69 TEST_SUITE(FP32)
70 FIXTURE_DATA_TEST_CASE(RunSmall, NEFlattenLayerFixture<float>, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::Small3DShapes(), datasets::Small4DShapes()),
71  framework::dataset::make("DataType", DataType::F32)))
72 {
73  // Validate output
74  validate(Accessor(_target), _reference);
75 }
78 {
79  // Validate output
80  validate(Accessor(_target), _reference);
81 }
82 TEST_SUITE_END() // FP32
83 
84 #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
85 TEST_SUITE(FP16)
86 FIXTURE_DATA_TEST_CASE(RunSmall, NEFlattenLayerFixture<half>, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::Small3DShapes(), datasets::Small4DShapes()),
88 {
89  // Validate output
90  validate(Accessor(_target), _reference);
91 }
92 FIXTURE_DATA_TEST_CASE(RunLarge, NEFlattenLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(framework::dataset::concat(datasets::Large3DShapes(), datasets::Large4DShapes()),
94 {
95  // Validate output
96  validate(Accessor(_target), _reference);
97 }
98 TEST_SUITE_END() // FP16
99 #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
100 TEST_SUITE_END() // Float
101 
102 TEST_SUITE_END() // FlattenLayer
103 TEST_SUITE_END() // Neon
104 } // namespace validation
105 } // namespace test
106 } // namespace arm_compute
Shape of a tensor.
Definition: TensorShape.h:39
1 channel, 1 U8 per channel
1 channel, 1 F32 per channel
ARM_COMPUTE_EXPECT(has_error==expected, framework::LogLevel::ERRORS)
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.
1 channel, 1 F16 per channel
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
TEST_SUITE_END() FIXTURE_DATA_TEST_CASE(RunSmall
[CLActivationLayer Test snippet]
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
FlattenLayerValidationFixture< Tensor, Accessor, NEFlattenLayer, T > NEFlattenLayerFixture
Definition: Flatten.cpp:66
Store the tensor&#39;s metadata.
Definition: TensorInfo.h:43
static Status validate(const ITensorInfo *input, const ITensorInfo *output)
Static function to check if given info will lead to a valid configuration of NEFlattenLayer.
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
combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::F32)))
Definition: AbsLayer.cpp:65