Compute Library
 22.05
Floor.cpp
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24 #include "arm_compute/core/Types.h"
30 #include "tests/NEON/Accessor.h"
32 #include "tests/datasets/ShapeDatasets.h"
34 #include "tests/framework/Macros.h"
37 #include "tests/validation/fixtures/FloorFixture.h"
38 
39 namespace arm_compute
40 {
41 namespace test
42 {
43 namespace validation
44 {
45 TEST_SUITE(NEON)
46 TEST_SUITE(Floor)
47 
48 // *INDENT-OFF*
49 // clang-format off
51  framework::dataset::make("InputInfo", { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), // Wrong data type
52  TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), // Invalid data type combination
53  TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), // Mismatching shapes
54  TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
55  }),
56  framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
57  TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F16),
58  TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32),
59  TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
60  })),
61  framework::dataset::make("Expected", { false, false, false, true })),
63 {
64  const Status status = NEFloor::validate(&input_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false));
66 }
67 
68 
70  combine(framework::dataset::make("CpuExt", std::string("NEON")),
73  })),
75 {
76  using namespace cpu::kernels;
77 
79  cpu_isa.neon = (cpu_ext == "NEON");
81 
82  const auto *selected_impl = CpuFloorKernel::get_implementation(DataTypeISASelectorData{data_type, cpu_isa}, cpu::KernelSelectionType::Preferred);
83 
85 
86  std::string expected = lower_string(cpu_ext) + "_" + cpu_impl_dt(data_type) + "_floor";
87  std::string actual = selected_impl->name;
88 
90 }
91 // clang-format on
92 // *INDENT-ON*
93 
94 template <typename T>
95 using NEFloorFixture = FloorValidationFixture<Tensor, Accessor, NEFloor, T>;
96 
97 TEST_SUITE(Float)
98 #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
99 TEST_SUITE(FP16)
101 {
102  // Validate output
103  validate(Accessor(_target), _reference);
104 }
106 {
107  // Validate output
108  validate(Accessor(_target), _reference);
109 }
110 TEST_SUITE_END() // FP16
111 #endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
112 
113 TEST_SUITE(FP32)
114 FIXTURE_DATA_TEST_CASE(RunSmall, NEFloorFixture<float>, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::F32)))
115 {
116  // Validate output
117  validate(Accessor(_target), _reference);
118 }
120 {
121  // Validate output
122  validate(Accessor(_target), _reference);
123 }
124 TEST_SUITE_END() // FP32
125 TEST_SUITE_END() // Float
126 
129 } // namespace validation
130 } // namespace test
131 } // namespace arm_compute
Retrieve the best implementation available for the given Cpu ISA, ignoring the build flags...
1 channel, 1 U8 per channel
const CpuCastKernel::CastKernel * selected_impl
Definition: Cast.cpp:205
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.
std::string lower_string(const std::string &val)
Lower a given string.
Definition: Utils.cpp:351
Copyright (c) 2017-2022 Arm Limited.
cpuinfo::CpuIsaInfo cpu_isa
Definition: Cast.cpp:207
std::string cpu_impl_dt(const DataType &data_type)
Returns the suffix string of CPU kernel implementation names based on the given data type...
Definition: Utils.h:1245
1 channel, 1 F16 per channel
CPU ISA (Instruction Set Architecture) information.
Definition: CpuIsaInfo.h:37
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]
static Status validate(const ITensorInfo *input, const ITensorInfo *output)
Static function to check if given info will lead to a valid configuration of NEFloor.
Definition: NEFloor.cpp:57
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
ARM_COMPUTE_ERROR_ON_NULLPTR(selected_impl)
ARM_COMPUTE_EXPECT_EQUAL(expected, actual, framework::LogLevel::ERRORS)
FloorValidationFixture< Tensor, Accessor, NEFloor, T > NEFloorFixture
Definition: Floor.cpp:95
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