Compute Library
 22.05
ReductionOperation.cpp
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24 #include "arm_compute/core/Types.h"
28 #include "tests/NEON/Accessor.h"
30 #include "tests/datasets/ShapeDatasets.h"
32 #include "tests/framework/Macros.h"
35 #include "tests/validation/fixtures/ReductionOperationFixture.h"
36 
37 namespace arm_compute
38 {
39 namespace test
40 {
41 namespace validation
42 {
43 namespace
44 {
45 /** Tolerance for float operations */
46 AbsoluteTolerance<float> tolerance_f32(0.0001f);
47 RelativeTolerance<float> rel_tolerance_f32(0.0001f);
48 #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
49 AbsoluteTolerance<float> tolerance_f16(0.2f);
50 RelativeTolerance<float> rel_tolerance_f16(0.1f);
51 #endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
52 /** Tolerance for quantized operations */
53 RelativeTolerance<float> tolerance_quantized(1.f);
54 
55 const auto ReductionOperations = framework::dataset::make("ReductionOperation",
56 {
61 });
62 
63 const auto QuantizationInfos = framework::dataset::make("QuantizationInfo",
64 {
65  QuantizationInfo(1.f / 117, 10), // Numbers chosen so that the quantized values are in range of qasymm8_signed data type
66  QuantizationInfo(1.f / 64, 5),
67  QuantizationInfo(1.f / 32, 2)
68 });
69 
70 const auto Axises = framework::dataset::make("Axis",
71 { 0, 1, 2, 3 });
72 
73 const auto KeepDims = framework::dataset::make("KeepDims", { true, false });
74 
75 } // namespace
76 
77 TEST_SUITE(NEON)
79 
80 // *INDENT-OFF*
81 // clang-format off
82 DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(
83  framework::dataset::make("InputInfo", { TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), // Mismatching data type input/output
84  TensorInfo(TensorShape(128U, 64U), 2, DataType::F32), // Number of Input channels != 1
85  TensorInfo(TensorShape(128U, 64U), 1, DataType::S16), // DataType != F32
86  TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), // Axis >= num_max_dimensions
88  TensorInfo(TensorShape(128U, 64U), 1, DataType::F32) // Kept dimension when keep_dims = false
89  }),
96  })),
97  framework::dataset::make("Axis", { 0U, 0U, 0U, static_cast<unsigned int>(TensorShape::num_max_dimensions), 0U, 0U })),
98  framework::dataset::make("KeepDims", { true, true, true, true, true, false})),
99  framework::dataset::make("Expected", { false, false, false, false, true, false })),
100  input_info, output_info, axis, keep_dims, expected)
101 {
102  bool is_valid = bool(NEReductionOperation::validate(&input_info.clone()->set_is_resizable(false),
103  &output_info.clone()->set_is_resizable(true),
104  axis,
106  keep_dims));
108 }
109 
111 { 0, 1 })), framework::dataset::make("ReductionOperation", {ReductionOperation::SUM,})), KeepDims),
112  shape, data_type, axis, op, keep_dims)
113 {
115  TensorInfo input_info = TensorInfo(input_shape, 1, data_type);
116  const bool is_arg_min_max = (op == ReductionOperation::ARG_IDX_MAX) || (op == ReductionOperation::ARG_IDX_MIN);
117  const bool _keep_dims = keep_dims && !is_arg_min_max;
119 
120  // Create tensors
121  Tensor src = create_tensor<Tensor>(input_shape, data_type, 1, QuantizationInfo());
122  Tensor dst = create_tensor<Tensor>(output_shape, data_type, 1, QuantizationInfo());
123 
124  // Create and configure function
125  NEReductionOperation reduction;
126  reduction.configure(&src, &dst, axis, op, _keep_dims);
127 
128  validate(src.info()->padding(), PaddingSize(0, 0, 0, 0));
129  validate(dst.info()->padding(), PaddingSize(0, 0, 0, 0));
130 }
131 // clang-format on
132 // *INDENT-ON*
133 
134 template <typename T>
135 using NEReductionOperationFixture = ReductionOperationFixture<Tensor, Accessor, NEReductionOperation, T>;
136 
137 TEST_SUITE(FP32)
138 FIXTURE_DATA_TEST_CASE(RunSmall, NEReductionOperationFixture<float>, framework::DatasetMode::PRECOMMIT,
139  combine(combine(combine(combine(datasets::Small4DShapes(), framework::dataset::make("DataType", DataType::F32)), Axises), ReductionOperations), KeepDims))
140 {
141  // Validate output
142  validate(Accessor(_target), _reference, tolerance_f32);
143 }
145  combine(combine(combine(combine(datasets::Large4DShapes(), framework::dataset::make("DataType", DataType::F32)), Axises), ReductionOperations), KeepDims))
146 {
147  // Validate output
148  validate(Accessor(_target), _reference, rel_tolerance_f32, 0, tolerance_f32);
149 }
150 TEST_SUITE_END() // FP32
151 
152 #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
153 TEST_SUITE(FP16)
155  combine(combine(combine(combine(datasets::Small4DShapes(), framework::dataset::make("DataType", DataType::F16)), Axises), ReductionOperations), KeepDims))
156 {
157  // Validate output
158  validate(Accessor(_target), _reference, tolerance_f16);
159 }
161  combine(combine(combine(combine(datasets::Large4DShapes(), framework::dataset::make("DataType", DataType::F16)), Axises), ReductionOperations), KeepDims))
162 {
163  // Validate output
164  validate(Accessor(_target), _reference, rel_tolerance_f16, 0, tolerance_f16);
165 }
166 TEST_SUITE_END() // FP16
167 #endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
168 
169 template <typename T>
170 using NEReductionOperationQuantizedFixture = ReductionOperationQuantizedFixture<Tensor, Accessor, NEReductionOperation, T>;
171 
173 FIXTURE_DATA_TEST_CASE(RunSmall, NEReductionOperationQuantizedFixture<uint8_t>, framework::DatasetMode::ALL,
174  combine(combine(combine(combine(combine(datasets::Small4DShapes(), framework::dataset::make("DataType", DataType::QASYMM8)), Axises),
175  ReductionOperations),
176  QuantizationInfos),
177  KeepDims))
178 {
179  // Validate output
180  validate(Accessor(_target), _reference, tolerance_quantized);
181 }
182 TEST_SUITE_END() // QASYMM8
183 
185 FIXTURE_DATA_TEST_CASE(RunSmall, NEReductionOperationQuantizedFixture<int8_t>, framework::DatasetMode::ALL,
186  combine(combine(combine(combine(combine(datasets::Small4DShapes(), framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)), Axises),
187  ReductionOperations),
188  QuantizationInfos),
189  KeepDims))
190 {
191  // Validate output
192  validate(Accessor(_target), _reference, tolerance_quantized);
193 }
194 TEST_SUITE_END() // QASYMM8_SIGNED
195 
196 TEST_SUITE_END() // ReductionOperation
197 TEST_SUITE_END() // Neon
198 } // namespace validation
199 } // namespace test
200 } // namespace arm_compute
Shape of a tensor.
Definition: TensorShape.h:39
RelativeTolerance< float > tolerance_f32(0.001f)
F32 Tolerance value for comparing reference&#39;s output against implementation&#39;s output for floating poi...
ReductionOperation
Available reduction operations.
Definition: Types.h:476
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.
SimpleTensor< float > src
Definition: DFT.cpp:155
Copyright (c) 2017-2022 Arm Limited.
1 channel, 1 F16 per channel
ITensorInfo * info() const override
Interface to be implemented by the child class to return the tensor&#39;s metadata.
Definition: Tensor.cpp:33
Quantization information.
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)
const auto input_shape
Validate test suite is to test ARM_COMPUTE_RETURN_ON_* macros we use to check the validity of given a...
Accessor implementation for Tensor objects.
Definition: Accessor.h:35
DatasetMode
Possible dataset modes.
Definition: DatasetModes.h:40
static Status validate(const ITensorInfo *input, const ITensorInfo *output, unsigned int axis, ReductionOperation op, bool keep_dims=true)
Static function to check if given info will lead to a valid configuration of NEReductionOperation.
TEST_SUITE_END() FIXTURE_DATA_TEST_CASE(RunSmall
[CLActivationLayer Test snippet]
quantized, asymmetric fixed-point 8-bit number unsigned
TensorShape compute_reduced_shape(const TensorShape &input, unsigned int axis, bool keep_dims=true)
Calculate the reduced shape of a tensor given an axis.
ReductionOperationFixture< Tensor, Accessor, NEReductionOperation, T > NEReductionOperationFixture
Basic implementation of the tensor interface.
Definition: Tensor.h:37
validate(CLAccessor(output_state), expected_output)
virtual PaddingSize padding() const =0
Padding of tensor.
BorderSize PaddingSize
Container for 2D padding size.
Definition: Types.h:397
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
Store the tensor&#39;s metadata.
Definition: TensorInfo.h:43
quantized, asymmetric fixed-point 8-bit number signed
RelativeTolerance< half_float::half > tolerance_f16(half(0.2))
F16 Tolerance value for comparing reference&#39;s output against implementation&#39;s output for floating poi...
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}))
Basic function to simulate a reduction operation.
static constexpr size_t num_max_dimensions
Number of dimensions the tensor has.
Definition: Dimensions.h:46
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
void configure(ITensor *input, ITensor *output, unsigned int axis, ReductionOperation op, bool keep_dims=true)
Set the input and output tensors.