Compute Library
 22.05
Slice.cpp
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24 #include "arm_compute/core/Types.h"
28 
29 #include "tests/NEON/Accessor.h"
30 #include "tests/datasets/SliceOperationsDataset.h"
32 #include "tests/framework/Macros.h"
35 #include "tests/validation/fixtures/SliceOperationsFixtures.h"
36 
37 namespace arm_compute
38 {
39 namespace test
40 {
41 namespace validation
42 {
43 TEST_SUITE(NEON)
44 TEST_SUITE(Slice)
45 
46 // *INDENT-OFF*
47 // clang-format off
49  framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 3U, 2U, 5U, 3U), 1, DataType::F32), // Invalid input shape
50  TensorInfo(TensorShape(27U, 3U, 2U), 1, DataType::F32), // Negative begin
51  TensorInfo(TensorShape(27U, 3U, 2U), 1, DataType::F32), // Big number of coordinates
52  TensorInfo(TensorShape(27U, 3U, 2U), 1, DataType::F32)
53  }),
54  framework::dataset::make("Starts", { Coordinates(3, 1, 0), Coordinates(-3, 1, 0), Coordinates(3, 1, 0), Coordinates(3, 1, 0) })),
55  framework::dataset::make("Ends", { Coordinates(13, 3, 0), Coordinates(13, 3, 1), Coordinates(13, 3, 1, 1), Coordinates(13, 3, 1) })),
56  framework::dataset::make("Expected", { false, false, false, true })),
57  input_info, starts, ends, expected)
58 {
59  TensorInfo output_info;
60  const Status status = NESlice::validate(&input_info.clone()->set_is_resizable(false), &output_info, starts, ends);
62 }
63 // clang-format on
64 // *INDENT-ON*
65 
66 template <typename T>
67 using NESliceFixture = SliceFixture<Tensor, Accessor, NESlice, T>;
68 
69 TEST_SUITE(Float)
70 #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
71 TEST_SUITE(FP16)
72 FIXTURE_DATA_TEST_CASE(RunSmall,
75  combine(datasets::SmallSliceDataset(), framework::dataset::make("DataType", DataType::F16)))
76 {
77  // Validate output
78  validate(Accessor(_target), _reference);
79 }
80 
81 FIXTURE_DATA_TEST_CASE(RunLarge,
84  combine(datasets::LargeSliceDataset(), framework::dataset::make("DataType", DataType::F16)))
85 {
86  // Validate output
87  validate(Accessor(_target), _reference);
88 }
89 TEST_SUITE_END() // FP16
90 #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
91 
92 TEST_SUITE(FP32)
94  NESliceFixture<float>,
95  framework::DatasetMode::PRECOMMIT,
96  combine(datasets::SmallSliceDataset(), framework::dataset::make("DataType", DataType::F32)))
97 {
98  // Validate output
99  validate(Accessor(_target), _reference);
100 }
101 
105  combine(datasets::LargeSliceDataset(), framework::dataset::make("DataType", DataType::F32)))
106 {
107  // Validate output
108  validate(Accessor(_target), _reference);
109 }
110 TEST_SUITE_END() // FP32
111 TEST_SUITE_END() // Float
112 
113 TEST_SUITE_END() // Slice
114 TEST_SUITE_END() // Neon
115 } // namespace validation
116 } // namespace test
117 } // namespace arm_compute
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]
SliceFixture< Tensor, Accessor, NESlice, T > NESliceFixture
Definition: Slice.cpp:67
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
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
static Status validate(const ITensorInfo *input, const ITensorInfo *output, const Coordinates &starts, const Coordinates &ends)
Static function to check if given info will lead to a valid configuration of NESlice.
Definition: NESlice.cpp:82
combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::F32)))
Definition: AbsLayer.cpp:65