tests/validation/NEON/L2NormalizeLayer.cpp

   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 {
  45 /** Tolerance for float operations */
  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