Compute Library
 22.05
CropResize.cpp
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24 #include "arm_compute/core/Types.h"
28 
29 #include "tests/NEON/Accessor.h"
30 #include "tests/datasets/CropResizeDataset.h"
32 #include "tests/framework/Macros.h"
35 #include "tests/validation/fixtures/CropResizeFixture.h"
36 
37 namespace arm_compute
38 {
39 namespace test
40 {
41 namespace validation
42 {
43 TEST_SUITE(NEON)
44 TEST_SUITE(CropResize)
45 
46 RelativeTolerance<float> tolerance_fp32(0.001f);
47 
48 template <typename T>
49 using NECropResizeFixture = CropResizeFixture<Tensor, Accessor, NECropResize, T>;
50 
51 // *INDENT-OFF*
52 // clang-format off
54  framework::dataset::make("InputInfo", { TensorInfo(TensorShape(15U, 30U, 40U, 10U), 1, DataType::S32),
55  TensorInfo(TensorShape(15U, 30U, 40U, 10U), 1, DataType::S32), // Invalid box_ind shape.
56  TensorInfo(TensorShape(15U, 30U, 40U, 10U), 1, DataType::S32), // Invalid output shape.
57  TensorInfo(TensorShape(15U, 30U, 40U, 10U), 1, DataType::S32), // Invalid output data type.
58  TensorInfo(TensorShape(15U, 30U, 40U, 10U), 1, DataType::S32), // Invalid output shape.
59  TensorInfo(TensorShape(15U, 30U, 40U, 10U), 1, DataType::S32), // Invalid boxes shape.
60  }),
67  })),
74  })),
75  framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(15U, 5, 5, 20U), 1, DataType::F32),
76  TensorInfo(TensorShape(15U, 5, 5, 20U), 1, DataType::F32),
77  TensorInfo(TensorShape(15U, 5, 5, 10U), 1, DataType::F32),
78  TensorInfo(TensorShape(15U, 5, 5, 20U), 1, DataType::S32),
79  TensorInfo(TensorShape(5U, 5, 5, 20U), 1, DataType::F32),
80  TensorInfo(TensorShape(15U, 5, 5, 20U), 1, DataType::F32),
81  })),
82  framework::dataset::make("Expected", { true, false, false, false, false, false})),
83  input, boxes, box_ind, output, expected)
84 {
85  ARM_COMPUTE_EXPECT(bool(NECropResize::validate(&input.clone()->set_data_layout(DataLayout::NHWC).set_is_resizable(false),
86  &boxes.clone()->set_is_resizable(false),
87  &box_ind.clone()->set_is_resizable(false),
88  &output.clone()->set_data_layout(DataLayout::NHWC).set_is_resizable(false),
90 }
91 // clang-format on
92 // *INDENT-ON*
93 
94 TEST_SUITE(Float)
95 #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
97 FIXTURE_DATA_TEST_CASE(RunSmall,
100  combine(datasets::SmallCropResizeDataset(),
101  combine(framework::dataset::make("IsOutOfBounds", { true, false }),
103 {
104  // Validate output
105  validate(Accessor(_target), _reference, tolerance_fp32, 0.01);
106 }
107 TEST_SUITE_END() // F16
108 #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
109 
112  NECropResizeFixture<float>,
113  framework::DatasetMode::ALL,
114  combine(datasets::SmallCropResizeDataset(),
115  combine(framework::dataset::make("IsOutOfBounds", { true, false }),
117 {
118  // Validate output
119  validate(Accessor(_target), _reference, tolerance_fp32, 0.01);
120 }
121 TEST_SUITE_END() // F32
122 TEST_SUITE_END() // Float
123 
124 TEST_SUITE(U8)
125 FIXTURE_DATA_TEST_CASE(RunSmall,
128  combine(datasets::SmallCropResizeDataset(),
129  combine(framework::dataset::make("IsOutOfBounds", { true, false }),
130  framework::dataset::make("DataType", DataType::U8))))
131 {
132  // Validate output
133  validate(Accessor(_target), _reference, tolerance_fp32, 0.01);
134 }
135 TEST_SUITE_END() // U8
136 
138 FIXTURE_DATA_TEST_CASE(RunSmall,
141  combine(datasets::SmallCropResizeDataset(),
142  combine(framework::dataset::make("IsOutOfBounds", { true, false }),
144 {
145  // Validate output
146  validate(Accessor(_target), _reference, tolerance_fp32, 0.01);
147 }
148 TEST_SUITE_END() // U16
149 
151 FIXTURE_DATA_TEST_CASE(RunSmall,
154  combine(datasets::SmallCropResizeDataset(),
155  combine(framework::dataset::make("IsOutOfBounds", { true, false }),
157 {
158  // Validate output
159  validate(Accessor(_target), _reference, tolerance_fp32, 0.01);
160 }
161 TEST_SUITE_END() // S16
162 
164 FIXTURE_DATA_TEST_CASE(RunSmall,
167  combine(datasets::SmallCropResizeDataset(),
168  combine(framework::dataset::make("IsOutOfBounds", { true, false }),
170 {
171  // Validate output
172  validate(Accessor(_target), _reference, tolerance_fp32, 0.01);
173 }
174 TEST_SUITE_END() // U32
175 
177 FIXTURE_DATA_TEST_CASE(RunSmall,
180  combine(datasets::SmallCropResizeDataset(),
181  combine(framework::dataset::make("IsOutOfBounds", { true, false }),
183 {
184  // Validate output
185  validate(Accessor(_target), _reference, tolerance_fp32, 0.01);
186 }
187 TEST_SUITE_END() // S32
188 
189 TEST_SUITE_END() // CropResize
190 TEST_SUITE_END() // Neon
191 } // namespace validation
192 } // namespace test
193 } // namespace arm_compute
Shape of a tensor.
Definition: TensorShape.h:39
1 channel, 1 U8 per channel
1 channel, 1 F32 per channel
ARM_COMPUTE_EXPECT(has_error==expected, framework::LogLevel::ERRORS)
Output values are defined by bilinear interpolation between the pixels.
1 channel, 1 U16 per channel
std::enable_if< is_container< T >::value, ContainerDataset< T > >::type make(std::string name, T &&values)
Helper function to create a ContainerDataset.
RelativeTolerance< float > tolerance_fp32(0.001f)
Copyright (c) 2017-2022 Arm Limited.
1 channel, 1 F16 per channel
1 channel, 1 S32 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
1 channel, 1 U32 per channel
TEST_SUITE_END() FIXTURE_DATA_TEST_CASE(RunSmall
[CLActivationLayer Test snippet]
static Status validate(const ITensorInfo *input, const ITensorInfo *boxes, const ITensorInfo *box_ind, const ITensorInfo *output, Coordinates2D crop_size, InterpolationPolicy method, float extrapolation_value)
Static function to check if given info will lead to a valid configuration of NESlice.
validate(CLAccessor(output_state), expected_output)
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
Coordinate type.
Definition: Types.h:435
Num samples, height, width, channels.
Store the tensor&#39;s metadata.
Definition: TensorInfo.h:43
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
combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::F32)))
Definition: AbsLayer.cpp:65
CropResizeFixture< Tensor, Accessor, NECropResize, T > NECropResizeFixture
Definition: CropResize.cpp:49