Compute Library
 22.05
WidthConcatenateLayer.cpp
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24 #include "arm_compute/core/Types.h"
28 #include "tests/NEON/Accessor.h"
29 #include "tests/datasets/ShapeDatasets.h"
31 #include "tests/framework/Macros.h"
34 #include "tests/validation/fixtures/ConcatenateLayerFixture.h"
35 
36 namespace arm_compute
37 {
38 namespace test
39 {
40 namespace validation
41 {
42 TEST_SUITE(NEON)
43 TEST_SUITE(WidthConcatenateLayer)
44 // *INDENT-OFF*
45 // clang-format off
47  framework::dataset::make("InputInfo1", { TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), // Mismatching data type input/output
48  TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), // Mismatching y dimension
49  TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), // Mismatching total width
50  TensorInfo(TensorShape(16U, 27U, 5U), 1, DataType::F32),
51  TensorInfo(TensorShape(21U, 35U, 5U), 1, DataType::F32)
52  }),
53  framework::dataset::make("InputInfo2", { TensorInfo(TensorShape(24U, 27U, 4U), 1, DataType::F32),
54  TensorInfo(TensorShape(52U, 27U, 5U), 1, DataType::F32),
55  TensorInfo(TensorShape(52U, 27U, 5U), 1, DataType::F32),
56  TensorInfo(TensorShape(16U, 27U, 5U), 1, DataType::F32),
57  TensorInfo(TensorShape(10U, 35U, 5U), 1, DataType::F32)
58  })),
59  framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(47U, 27U, 5U), 1, DataType::F16),
60  TensorInfo(TensorShape(75U, 12U, 5U), 1, DataType::F32),
61  TensorInfo(TensorShape(11U, 27U, 5U), 1, DataType::F32),
62  TensorInfo(TensorShape(32U, 27U, 5U), 1, DataType::F32),
63  TensorInfo(TensorShape(31U, 35U, 5U), 1, DataType::F32)
64  })),
65  framework::dataset::make("Expected", { false, false, false, true, true })),
66  input_info1, input_info2, output_info,expected)
67 {
68  std::vector<TensorInfo> inputs_vector_info;
69  inputs_vector_info.emplace_back(std::move(input_info1));
70  inputs_vector_info.emplace_back(std::move(input_info2));
71 
72  std::vector<const ITensorInfo *> inputs_vector_info_raw;
73  inputs_vector_info_raw.reserve(inputs_vector_info.size());
74  for(auto &input : inputs_vector_info)
75  {
76  inputs_vector_info_raw.emplace_back(&input);
77  }
78 
79  bool is_valid = bool(NEConcatenateLayer::validate(inputs_vector_info_raw, &output_info.clone()->set_is_resizable(true), 0));
81 }
82 // clang-format on
83 // *INDENT-ON*
84 template <typename T>
85 using NEWidthConcatenateLayerFixture = ConcatenateLayerValidationFixture<Tensor, ITensor, Accessor, NEConcatenateLayer, T>;
86 
87 TEST_SUITE(Float)
88 TEST_SUITE(FP32)
89 FIXTURE_DATA_TEST_CASE(RunSmall, NEWidthConcatenateLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(concat(datasets::Small2DShapes(), datasets::Tiny4DShapes()),
90  framework::dataset::make("DataType",
91  DataType::F32)),
92  framework::dataset::make("Axis", 0)))
93 
94 {
95  // Validate output
96  validate(Accessor(_target), _reference);
97 }
99  DataType::F32)),
100  framework::dataset::make("Axis", 0)))
101 
102 {
103  // Validate output
104  validate(Accessor(_target), _reference);
105 }
108 
109 TEST_SUITE(Quantized)
111 FIXTURE_DATA_TEST_CASE(RunSmall, NEWidthConcatenateLayerFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(concat(datasets::Small2DShapes(), datasets::Tiny4DShapes()),
112  framework::dataset::make("DataType",
113  DataType::QASYMM8)),
114  framework::dataset::make("Axis", 0)))
115 
116 {
117  // Validate output
118  validate(Accessor(_target), _reference);
119 }
121 
123 FIXTURE_DATA_TEST_CASE(RunSmall, NEWidthConcatenateLayerFixture<int8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(concat(datasets::Small2DShapes(), datasets::Tiny4DShapes()),
124  framework::dataset::make("DataType",
125  DataType::QASYMM8_SIGNED)),
126  framework::dataset::make("Axis", 0)))
127 
128 {
129  // Validate output
130  validate(Accessor(_target), _reference);
131 }
134 
137 } // namespace validation
138 } // namespace test
139 } // namespace arm_compute
ConcatenateLayerValidationFixture< Tensor, ITensor, Accessor, NEConcatenateLayer, T > NEWidthConcatenateLayerFixture
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]
quantized, asymmetric fixed-point 8-bit number unsigned
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
JoinDataset< T, U > concat(T &&dataset1, U &&dataset2)
Helper function to create a JoinDataset.
Definition: JoinDataset.h:160
quantized, asymmetric fixed-point 8-bit number signed
static Status validate(const std::vector< const ITensorInfo *> &inputs_vector, const ITensorInfo *output, size_t axis)
Static function to check if given info will lead to a valid configuration of NEConcatenateLayer.
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