Compute Library
 22.05
ReorgLayer.cpp
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24 #include "arm_compute/core/Types.h"
28 
29 #include "tests/NEON/Accessor.h"
31 #include "tests/datasets/ReorgLayerDataset.h"
33 #include "tests/framework/Macros.h"
36 #include "tests/validation/fixtures/ReorgLayerFixture.h"
37 
38 namespace arm_compute
39 {
40 namespace test
41 {
42 namespace validation
43 {
44 TEST_SUITE(NEON)
45 TEST_SUITE(ReorgLayer)
46 
47 // *INDENT-OFF*
48 // clang-format off
50  framework::dataset::make("InputInfo", { TensorInfo(TensorShape(10U, 12U, 1U, 2U), 1, DataType::S64), // Wrong output tensor
51  TensorInfo(TensorShape(10U, 12U, 1U, 2U), 1, DataType::F32),
52  TensorInfo(TensorShape(10U, 12U, 1U, 2U), 1, DataType::F32), // Wrong output tensor
53  TensorInfo(TensorShape(3U, 12U, 4U, 2U), 1, DataType::F32),
54  TensorInfo(TensorShape(3U, 12U, 4U, 2U), 1, DataType::F32), // Wrong data type
55  }),
56  framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(3U, 4U, 10U, 2U), 1, DataType::S64),
57  TensorInfo(TensorShape(5U, 6U, 4U, 2U), 1, DataType::F32),
58  TensorInfo(TensorShape(5U, 6U, 2, 2U), 1, DataType::F32),
59  TensorInfo(TensorShape(1U, 4U, 36U, 2U), 1, DataType::F32),
60  TensorInfo(TensorShape(1U, 4U, 36U, 2U), 1, DataType::F16),
61  })),
62  framework::dataset::make("Stride", { 2, 2, 4, 3 })),
63  framework::dataset::make("Expected", { false, true, false, true, false })),
65 {
66  bool status = bool(NEReorgLayer::validate(&input_info, &output_info, stride));
68 }
69 // clang-format on
70 // *INDENT-ON*
71 
72 template <typename T>
73 using NEReorgLayerFixture = ReorgLayerValidationFixture<Tensor, Accessor, NEReorgLayer, T>;
74 
75 TEST_SUITE(S32)
76 FIXTURE_DATA_TEST_CASE(RunSmall, NEReorgLayerFixture<int32_t>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallReorgLayerDataset(), framework::dataset::make("DataType",
77  DataType::S32)),
78  framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))
79 {
80  // Validate output
81  validate(Accessor(_target), _reference);
82 }
83 
85  DataType::S32)),
87 {
88  // Validate output
89  validate(Accessor(_target), _reference);
90 }
91 TEST_SUITE_END() // S32
92 
94 FIXTURE_DATA_TEST_CASE(RunSmall, NEReorgLayerFixture<int16_t>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallReorgLayerDataset(), framework::dataset::make("DataType",
95  DataType::S16)),
96  framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))
97 {
98  // Validate output
99  validate(Accessor(_target), _reference);
100 }
101 
103  DataType::S16)),
105 {
106  // Validate output
107  validate(Accessor(_target), _reference);
108 }
109 TEST_SUITE_END() // S16
110 
111 TEST_SUITE(S8)
112 FIXTURE_DATA_TEST_CASE(RunSmall, NEReorgLayerFixture<int8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallReorgLayerDataset(), framework::dataset::make("DataType",
113  DataType::S8)),
114  framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))
115 {
116  // Validate output
117  validate(Accessor(_target), _reference);
118 }
119 
122 {
123  // Validate output
124  validate(Accessor(_target), _reference);
125 }
126 TEST_SUITE_END() // S8
127 
128 TEST_SUITE_END() // ReorgLayer
129 TEST_SUITE_END() // Neon
130 } // namespace validation
131 } // namespace test
132 } // namespace arm_compute
1 channel, 1 F32 per channel
ARM_COMPUTE_EXPECT(has_error==expected, framework::LogLevel::ERRORS)
ReorgLayerValidationFixture< Tensor, Accessor, NEReorgLayer, T > NEReorgLayerFixture
Definition: ReorgLayer.cpp:73
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.
static Status validate(const ITensorInfo *input, const ITensorInfo *output, int32_t stride)
Static function to check if given info will lead to a valid configuration of NEReorgLayer.
1 channel, 1 F16 per channel
1 channel, 1 S32 per channel
signed 64-bit number
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)
1 channel, 1 S16 per channel
Num samples, channels, height, width.
FIXTURE_DATA_TEST_CASE(RunSmall, CLAbsLayerFixture< half >, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::F16)))
Definition: AbsLayer.cpp:50
Num samples, height, width, channels.
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
DataLayout
[DataLayout enum definition]
Definition: Types.h:113
signed 8-bit number
combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::F32)))
Definition: AbsLayer.cpp:65