Compute Library
 21.02
TensorShape.cpp
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24 #include "tests/framework/Macros.h"
27 
28 namespace arm_compute
29 {
30 namespace test
31 {
32 namespace validation
33 {
34 TEST_SUITE(UNIT)
35 TEST_SUITE(TensorShapeValidation)
36 
37 // *INDENT-OFF*
38 // clang-format off
39 DATA_TEST_CASE(Construction, framework::DatasetMode::ALL, zip(zip(
40  framework::dataset::make("TensorShape", {
41  TensorShape{},
42  TensorShape{ 1U },
43  TensorShape{ 2U },
44  TensorShape{ 2U, 3U },
45  TensorShape{ 2U, 3U, 5U },
46  TensorShape{ 2U, 3U, 5U, 7U },
47  TensorShape{ 2U, 3U, 5U, 7U, 11U },
48  TensorShape{ 2U, 3U, 5U, 7U, 11U, 13U }}),
49  framework::dataset::make("NumDimensions", { 0U, 1U, 1U, 2U, 3U, 4U, 5U, 6U })),
50  framework::dataset::make("TotalSize", { 0U, 1U, 2U, 6U, 30U, 210U, 2310U, 30030U })),
51  shape, num_dimensions, total_size)
52 {
53  ARM_COMPUTE_EXPECT(shape.num_dimensions() == num_dimensions, framework::LogLevel::ERRORS);
54  ARM_COMPUTE_EXPECT(shape.total_size() == total_size, framework::LogLevel::ERRORS);
55 }
56 // clang-format on
57 // *INDENT-ON*
58 
59 DATA_TEST_CASE(SetEmpty, framework::DatasetMode::ALL, framework::dataset::make("Dimension", { 0U, 1U, 2U, 3U, 4U, 5U }), dimension)
60 {
62 
63  shape.set(dimension, 10);
64 
67 }
68 
69 TEST_SUITE_END() // TensorShapeValidation
71 } // namespace validation
72 } // namespace test
73 } // namespace arm_compute
Shape of a tensor.
Definition: TensorShape.h:39
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) 2017-2021 Arm Limited.
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)
DatasetMode
Possible dataset modes.
Definition: DatasetModes.h:40
TEST_SUITE_END() FIXTURE_DATA_TEST_CASE(RunSmall
[CLActivationLayer Test snippet]
size_t total_size() const
Collapses all dimensions to a single linear total size.
Definition: TensorShape.h:172
TEST_SUITE(U8_to_S8) FIXTURE_DATA_TEST_CASE(RunSmall
unsigned int num_dimensions() const
Returns the effective dimensionality of the tensor.
Definition: Dimensions.h:143
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}))
TensorShape & set(size_t dimension, size_t value, bool apply_dim_correction=true, bool increase_dim_unit=true)
Accessor to set the value of one of the dimensions.
Definition: TensorShape.h:79