Compute Library
 22.05
ReshapeLayer.cpp
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24 #include "arm_compute/core/Types.h"
28 #include "tests/NEON/Accessor.h"
30 #include "tests/datasets/ReshapeLayerDataset.h"
31 #include "tests/datasets/ShapeDatasets.h"
33 #include "tests/framework/Macros.h"
36 #include "tests/validation/fixtures/ReshapeLayerFixture.h"
37 
38 namespace arm_compute
39 {
40 namespace test
41 {
42 namespace validation
43 {
44 TEST_SUITE(NEON)
45 TEST_SUITE(ReshapeLayer)
46 
47 // *INDENT-OFF*
48 // clang-format off
49 
51  framework::dataset::make("InputInfo",
52 {
53  TensorInfo(TensorShape(9U, 5U, 7U, 3U), 1, DataType::F32),
54  TensorInfo(TensorShape(8U, 4U, 6U, 4U), 1, DataType::F32),
55  TensorInfo(TensorShape(8U, 4U, 6U, 4U), 1, DataType::F32), // mismatching dimensions
56  TensorInfo(TensorShape(9U, 5U, 7U, 3U), 1, DataType::F16), // mismatching types
57 }),
58 framework::dataset::make("OutputInfo",
59 {
60  TensorInfo(TensorShape(9U, 5U, 21U), 1, DataType::F32),
61  TensorInfo(TensorShape(8U, 24U, 4U), 1, DataType::F32),
62  TensorInfo(TensorShape(192U, 192U), 1, DataType::F32),
63  TensorInfo(TensorShape(9U, 5U, 21U), 1, DataType::F32),
64 })),
65 framework::dataset::make("Expected", { true, true, false, false })),
67 {
68  // Create Fully Connected layer info
69  Status status = NEReshapeLayer::validate(&input_info.clone()->set_is_resizable(false),
70  &output_info.clone()->set_is_resizable(false));
72 }
73 
74 // clang-format on
75 // *INDENT-ON*
76 
77 template <typename T>
78 using NEReshapeLayerFixture = ReshapeLayerValidationFixture<Tensor, Accessor, NEReshapeLayer, T>;
79 
80 TEST_SUITE(Float)
81 TEST_SUITE(F32)
82 FIXTURE_DATA_TEST_CASE(RunSmall, NEReshapeLayerFixture<float>, framework::DatasetMode::ALL, combine(datasets::SmallReshapeLayerDataset(), framework::dataset::make("DataType", DataType::F32)))
83 {
84  // Validate output
85  validate(Accessor(_target), _reference);
86 }
89 
90 TEST_SUITE(Integer)
92 FIXTURE_DATA_TEST_CASE(RunSmall, NEReshapeLayerFixture<int8_t>, framework::DatasetMode::ALL, combine(datasets::SmallReshapeLayerDataset(), framework::dataset::make("DataType", DataType::S8)))
93 {
94  // Validate output
95  validate(Accessor(_target), _reference);
96 }
98 
100 FIXTURE_DATA_TEST_CASE(RunSmall, NEReshapeLayerFixture<int16_t>, framework::DatasetMode::ALL, combine(datasets::SmallReshapeLayerDataset(), framework::dataset::make("DataType", DataType::S16)))
101 {
102  // Validate output
103  validate(Accessor(_target), _reference);
104 }
107 
110 } // namespace validation
111 } // namespace test
112 } // namespace arm_compute
static Status validate(const ITensorInfo *input, const ITensorInfo *output)
Static function to check if given info will lead to a valid configuration of NEReshapeLayer.
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)
ReshapeLayerValidationFixture< Tensor, Accessor, NEReshapeLayer, T > NEReshapeLayerFixture
1 channel, 1 S16 per channel
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
signed 8-bit number
combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::F32)))
Definition: AbsLayer.cpp:65