X-Git-Url: http://review.tizen.org/git/?a=blobdiff_plain;f=documentation%2Fvalidation_2_n_e_o_n_2_l2_normalize_layer_8cpp_source.xhtml;h=0e86e34238083bbe6061fea678438b0b268b3c0e;hb=HEAD;hp=24791c02158d5997c06683c53dbb5d1e01e64935;hpb=67c8c91522e5be8156b77f57e63c0253535c902a;p=platform%2Fupstream%2Farmcl.git diff --git a/documentation/validation_2_n_e_o_n_2_l2_normalize_layer_8cpp_source.xhtml b/documentation/validation_2_n_e_o_n_2_l2_normalize_layer_8cpp_source.xhtml index 24791c0..0e86e34 100644 --- a/documentation/validation_2_n_e_o_n_2_l2_normalize_layer_8cpp_source.xhtml +++ b/documentation/validation_2_n_e_o_n_2_l2_normalize_layer_8cpp_source.xhtml @@ -40,7 +40,7 @@
Compute Library -  18.03 +  18.05
@@ -117,33 +117,40 @@ $(document).ready(function(){initNavTree('validation_2_n_e_o_n_2_l2_normalize_la
L2NormalizeLayer.cpp
-Go to the documentation of this file.
1 /*
2  * Copyright (c) 2017 ARM Limited.
3  *
4  * SPDX-License-Identifier: MIT
5  *
6  * Permission is hereby granted, free of charge, to any person obtaining a copy
7  * of this software and associated documentation files (the "Software"), to
8  * deal in the Software without restriction, including without limitation the
9  * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
10  * sell copies of the Software, and to permit persons to whom the Software is
11  * furnished to do so, subject to the following conditions:
12  *
13  * The above copyright notice and this permission notice shall be included in all
14  * copies or substantial portions of the Software.
15  *
16  * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
17  * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
18  * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
19  * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
20  * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
21  * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
22  * SOFTWARE.
23  */
24 #include "arm_compute/core/Types.h"
25 #include "arm_compute/runtime/NEON/functions/NEL2NormalizeLayer.h"
26 #include "arm_compute/runtime/Tensor.h"
27 #include "arm_compute/runtime/TensorAllocator.h"
28 #include "tests/NEON/Accessor.h"
29 #include "tests/PaddingCalculator.h"
30 #include "tests/datasets/ShapeDatasets.h"
31 #include "tests/framework/Asserts.h"
32 #include "tests/framework/Macros.h"
33 #include "tests/framework/datasets/Datasets.h"
34 #include "tests/validation/Validation.h"
35 #include "tests/validation/fixtures/L2NormalizeLayerFixture.h"
36 
37 namespace arm_compute
38 {
39 namespace test
40 {
41 namespace validation
42 {
43 namespace
44 {
46 RelativeTolerance<float> tolerance_f32(0.00001f);
47 } // namespace
48 
49 TEST_SUITE(NEON)
50 TEST_SUITE(L2NormalizeLayer)
51 
52 template <typename T>
53 using NEL2NormalizeLayerFixture = L2NormalizeLayerValidationFixture<Tensor, Accessor, NEL2NormalizeLayer, T>;
54 
55 TEST_SUITE(FP32)
56 FIXTURE_DATA_TEST_CASE(RunSmall, NEL2NormalizeLayerFixture<float>, framework::DatasetMode::PRECOMMIT,
57  combine(combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::F32)), framework::dataset::make("Axis", { 0 })), framework::dataset::make("Epsilon", { 1e-12 })))
58 {
59  // Validate output
60  validate(Accessor(_target), _reference, tolerance_f32);
61 }
62 
63 FIXTURE_DATA_TEST_CASE(RunLarge, NEL2NormalizeLayerFixture<float>, framework::DatasetMode::NIGHTLY,
64  combine(combine(combine(datasets::LargeShapes(), framework::dataset::make("DataType", DataType::F32)), framework::dataset::make("Axis", { 0 })), framework::dataset::make("Epsilon", { 1e-12 })))
65 {
66  // Validate output
67  validate(Accessor(_target), _reference, tolerance_f32);
68 }
69 TEST_SUITE_END()
70 
71 TEST_SUITE_END()
72 TEST_SUITE_END()
73 } // namespace validation
74 } // namespace test
75 } // namespace arm_compute
Accessor.h
-
arm_compute::test::datasets::LargeShapes
Data set containing large tensor shapes.
Definition: ShapeDatasets.h:242
-
ShapeDatasets.h
+Go to the documentation of this file.
1 /*
2  * Copyright (c) 2017-2018 ARM Limited.
3  *
4  * SPDX-License-Identifier: MIT
5  *
6  * Permission is hereby granted, free of charge, to any person obtaining a copy
7  * of this software and associated documentation files (the "Software"), to
8  * deal in the Software without restriction, including without limitation the
9  * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
10  * sell copies of the Software, and to permit persons to whom the Software is
11  * furnished to do so, subject to the following conditions:
12  *
13  * The above copyright notice and this permission notice shall be included in all
14  * copies or substantial portions of the Software.
15  *
16  * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
17  * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
18  * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
19  * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
20  * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
21  * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
22  * SOFTWARE.
23  */
24 #include "arm_compute/core/Types.h"
25 #include "arm_compute/runtime/NEON/functions/NEL2NormalizeLayer.h"
26 #include "arm_compute/runtime/Tensor.h"
27 #include "arm_compute/runtime/TensorAllocator.h"
28 #include "tests/NEON/Accessor.h"
29 #include "tests/PaddingCalculator.h"
30 #include "tests/datasets/ShapeDatasets.h"
31 #include "tests/framework/Asserts.h"
32 #include "tests/framework/Macros.h"
33 #include "tests/framework/datasets/Datasets.h"
34 #include "tests/validation/Validation.h"
35 #include "tests/validation/fixtures/L2NormalizeLayerFixture.h"
36 
37 namespace arm_compute
38 {
39 namespace test
40 {
41 namespace validation
42 {
43 namespace
44 {
46 RelativeTolerance<float> tolerance_f32(0.00001f);
47 } // namespace
48 
49 TEST_SUITE(NEON)
50 TEST_SUITE(L2NormalizeLayer)
51 
52 // *INDENT-OFF*
53 // clang-format off
54 DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(
55  framework::dataset::make("InputInfo", { TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), // Mismatching data type input/output
56  TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), // Mismatching shape input/output
57  TensorInfo(TensorShape(128U, 64U), 2, DataType::F32), // Number of Input channels != 1
58  TensorInfo(TensorShape(128U, 64U), 1, DataType::S16), // DataType != F32
59  TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), // Axis >= num_max_dimensions
60  TensorInfo(TensorShape(128U, 64U), 1, DataType::F32), // Axis > 0
61  TensorInfo(TensorShape(128U, 64U), 1, DataType::F32)
62  }),
63  framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(128U, 64U), 1, DataType::F16),
64  TensorInfo(TensorShape(256U, 64U), 1, DataType::F32),
65  TensorInfo(TensorShape(128U, 64U), 1, DataType::F32),
66  TensorInfo(TensorShape(128U, 64U), 1, DataType::S16),
67  TensorInfo(TensorShape(128U, 64U), 1, DataType::F32),
68  TensorInfo(TensorShape(128U, 64U), 1, DataType::F32),
69  TensorInfo(TensorShape(128U, 64U), 1, DataType::F32)
70  })),
71  framework::dataset::make("Axis", { 0U, 0U, 0U, 0U, static_cast<unsigned int>(TensorShape::num_max_dimensions), 1U, 0U })),
72  framework::dataset::make("Expected", { false, false, false, false, false, false, true })),
73  input_info, output_info, axis, expected)
74 {
75  bool is_valid = bool(NEL2NormalizeLayer::validate(&input_info.clone()->set_is_resizable(false),
76  &output_info.clone()->set_is_resizable(false),
77  axis));
78  ARM_COMPUTE_EXPECT(is_valid == expected, framework::LogLevel::ERRORS);
79 }
80 // clang-format on
81 // *INDENT-ON*
82 
83 template <typename T>
84 using NEL2NormalizeLayerFixture = L2NormalizeLayerValidationFixture<Tensor, Accessor, NEL2NormalizeLayer, T>;
85 
86 TEST_SUITE(FP32)
87 FIXTURE_DATA_TEST_CASE(RunSmall, NEL2NormalizeLayerFixture<float>, framework::DatasetMode::PRECOMMIT,
88  combine(combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::F32)), framework::dataset::make("Axis", { 0 })), framework::dataset::make("Epsilon", { 1e-12 })))
89 {
90  // Validate output
91  validate(Accessor(_target), _reference, tolerance_f32);
92 }
93 
94 FIXTURE_DATA_TEST_CASE(RunLarge, NEL2NormalizeLayerFixture<float>, framework::DatasetMode::NIGHTLY,
95  combine(combine(combine(datasets::LargeShapes(), framework::dataset::make("DataType", DataType::F32)), framework::dataset::make("Axis", { 0 })), framework::dataset::make("Epsilon", { 1e-12 })))
96 {
97  // Validate output
98  validate(Accessor(_target), _reference, tolerance_f32);
99 }
100 TEST_SUITE_END()
101 
102 TEST_SUITE_END()
103 TEST_SUITE_END()
104 } // namespace validation
105 } // namespace test
106 } // namespace arm_compute
Accessor.h
PaddingCalculator.h
+
arm_compute::test::validation::expected
expected
Definition: Winograd.cpp:174
TensorAllocator.h
-
arm_compute::NEL2NormalizeLayer
Basic function to perform a L2 normalization on a given axis.
Definition: NEL2NormalizeLayer.h:46
arm_compute::Format::F32
1 channel, 1 F32 per channel
-
arm_compute::test::framework::dataset::make
std::enable_if< is_container< T >::value, ContainerDataset< T > >::type make(std::string name, T &&values)
Helper function to create a ContainerDataset.
Definition: ContainerDataset.h:141
+
arm_compute::test::validation::NEL2NormalizeLayerFixture
L2NormalizeLayerValidationFixture< Tensor, Accessor, NEL2NormalizeLayer, T > NEL2NormalizeLayerFixture
Definition: L2NormalizeLayer.cpp:84
+
arm_compute::test::validation::output_info
output_info
Definition: Winograd.cpp:173
+
arm_compute::test::framework::dataset::make
std::enable_if< is_container< T >::value, ContainerDataset< T > >::type make(std::string name, T &&values)
Helper function to create a ContainerDataset.
Definition: ContainerDataset.h:160
arm_compute
This file contains all available output stages for GEMMLowp on OpenCL.
Definition: 00_introduction.dox:1
-
arm_compute::test::validation::L2NormalizeLayerValidationFixture
Definition: L2NormalizeLayerFixture.h:44
+
arm_compute::Format::F16
1 channel, 1 F16 per channel
+
arm_compute::NEL2NormalizeLayer::validate
static Status validate(const ITensorInfo *input, const ITensorInfo *output, unsigned int axis, float epsilon=1e-12)
Static function to check if given info will lead to a valid configuration of NEL2NormalizeLayer.
TEST_SUITE
#define TEST_SUITE(SUITE_NAME)
Definition: Macros.h:34
NEL2NormalizeLayer.h
arm_compute::test::validation::FIXTURE_DATA_TEST_CASE
FIXTURE_DATA_TEST_CASE(RunSmall, CLAbsoluteDifferenceFixture< uint8_t >, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), AbsoluteDifferenceU8Dataset))
Definition: AbsoluteDifference.cpp:83
arm_compute::test::validation::validate
validate(dst.info() ->valid_region(), dst_valid_region)
arm_compute::test::Accessor
Accessor implementation for Tensor objects.
Definition: Accessor.h:35
arm_compute::test::framework::DatasetMode
DatasetMode
Possible dataset modes.
Definition: DatasetModes.h:40
+
arm_compute::Channel::U
Cb/U channel.
Datasets.h
-
arm_compute::Tensor
Basic implementation of the tensor interface.
Definition: Tensor.h:37
- +
arm_compute::test::validation::input_info
input_info
Definition: Winograd.cpp:173
+
arm_compute::Format::S16
1 channel, 1 S16 per channel
+
arm_compute::test::validation::DATA_TEST_CASE
DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), AbsoluteDifferenceU8Dataset), shape, data_type0, data_type1, output_data_type)
Definition: AbsoluteDifference.cpp:60
arm_compute::test::framework::DatasetMode::NIGHTLY
arm_compute::test::validation::TEST_SUITE_END
TEST_SUITE_END() DATA_TEST_CASE(Configuration
+
arm_compute::test::validation::ARM_COMPUTE_EXPECT
ARM_COMPUTE_EXPECT(src.info() ->is_resizable(), framework::LogLevel::ERRORS)
Validation.h
arm_compute::test::validation::combine
combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make("DataType",{DataType::U8, DataType::S16})), datasets::BorderModes()), framework::dataset::make("filter_size",{5}))
+
arm_compute::test::framework::LogLevel::ERRORS
+
arm_compute::Dimensions< size_t >::num_max_dimensions
static constexpr size_t num_max_dimensions
Number of dimensions the tensor has.
Definition: Dimensions.h:45
Types.h
arm_compute::DataType
DataType
Available data types.
Definition: Types.h:72
+
arm_compute::test::validation::zip
zip(zip(zip(framework::dataset::make("InputInfo",{TensorInfo(TensorShape(3U, 3U, 5U, 3U), 1, DataType::F16), TensorInfo(TensorShape(3U, 3U, 5U, 3U), 1, DataType::QASYMM8), TensorInfo(TensorShape(5U, 5U, 5U, 3U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 5U, 3U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 37U, 2U), 1, DataType::F32), TensorInfo(TensorShape(3U, 3U, 37U, 22U), 1, DataType::F32)}), framework::dataset::make("OutputInfo",{TensorInfo(TensorShape(3U, 5U, 16U), 1, DataType::F16), TensorInfo(TensorShape(3U, 5U, 16U), 1, DataType::QASYMM8), TensorInfo(TensorShape(3U, 5U, 16U), 1, DataType::F32), TensorInfo(TensorShape(1U, 1U, 16U), 1, DataType::F32), TensorInfo(TensorShape(3U, 5U, 16U), 1, DataType::F32), TensorInfo(TensorShape(2U, 37U, 16U), 1, DataType::F32), TensorInfo(TensorShape(22U, 37U, 36U), 1, DataType::F32)})), framework::dataset::make("WinogradInfo",{WinogradInfo(Size2D(2U, 2U), Size2D(3U, 3U), Size2D(), PadStrideInfo(), DataLayout::NCHW), WinogradInfo(Size2D(2U, 2U), Size2D(3U, 3U), Size2D(), PadStrideInfo(), DataLayout::NCHW), WinogradInfo(Size2D(2U, 2U), Size2D(3U, 3U), Size2D(), PadStrideInfo(), DataLayout::NCHW), WinogradInfo(Size2D(3U, 3U), Size2D(3U, 3U), Size2D(), PadStrideInfo(), DataLayout::NCHW), WinogradInfo(Size2D(2U, 2U), Size2D(3U, 3U), Size2D(), PadStrideInfo(), DataLayout::NCHW), WinogradInfo(Size2D(2U, 2U), Size2D(3U, 3U), Size2D(), PadStrideInfo(), DataLayout::NCHW), WinogradInfo(Size2D(4U, 4U), Size2D(3U, 3U), Size2D(), PadStrideInfo(), DataLayout::NCHW)})), framework::dataset::make("Expected",{false, false, false, false, true, true, true}))
Asserts.h
@@ -151,7 +158,7 @@ $(document).ready(function(){initNavTree('validation_2_n_e_o_n_2_l2_normalize_la