| /* |
| * Copyright (c) 2017 ARM Limited. |
| * |
| * SPDX-License-Identifier: MIT |
| * |
| * Permission is hereby granted, free of charge, to any person obtaining a copy |
| * of this software and associated documentation files (the "Software"), to |
| * deal in the Software without restriction, including without limitation the |
| * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or |
| * sell copies of the Software, and to permit persons to whom the Software is |
| * furnished to do so, subject to the following conditions: |
| * |
| * The above copyright notice and this permission notice shall be included in all |
| * copies or substantial portions of the Software. |
| * |
| * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR |
| * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, |
| * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE |
| * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER |
| * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, |
| * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE |
| * SOFTWARE. |
| */ |
| #include "NEON/NEAccessor.h" |
| #include "TypePrinter.h" |
| #include "tests/Globals.h" |
| #include "tests/Utils.h" |
| #include "validation/Datasets.h" |
| #include "validation/Reference.h" |
| #include "validation/Validation.h" |
| |
| #include "arm_compute/runtime/NEON/functions/NENormalizationLayer.h" |
| |
| #include <random> |
| |
| using namespace arm_compute; |
| using namespace arm_compute::test; |
| using namespace arm_compute::test::neon; |
| using namespace arm_compute::test::validation; |
| |
| namespace |
| { |
| /** Define tolerance of the normalization layer depending on values data type. |
| * |
| * @param[in] dt Data type of the tensors' values. |
| * |
| * @return Tolerance depending on the data type. |
| */ |
| float normalization_layer_tolerance(DataType dt) |
| { |
| switch(dt) |
| { |
| case DataType::QS8: |
| return 2.0f; |
| case DataType::F16: |
| return 0.001f; |
| case DataType::F32: |
| return 1e-05; |
| default: |
| return 0.f; |
| } |
| } |
| |
| /** Compute Neon normalization layer function. |
| * |
| * @param[in] shape Shape of the input and output tensors. |
| * @param[in] dt Data type of input and output tensors. |
| * @param[in] norm_info Normalization Layer information. |
| * @param[in] fixed_point_position (Optional) Fixed point position that expresses the number of bits for the fractional part of the number when the tensor's data type is QS8 or QS16 (default = 0). |
| * |
| * @return Computed output tensor. |
| */ |
| Tensor compute_normalization_layer(const TensorShape &shape, DataType dt, NormalizationLayerInfo norm_info, int fixed_point_position = 0) |
| { |
| // Create tensors |
| Tensor src = create_tensor<Tensor>(shape, dt, 1, fixed_point_position); |
| Tensor dst = create_tensor<Tensor>(shape, dt, 1, fixed_point_position); |
| |
| // Create and configure function |
| NENormalizationLayer norm; |
| norm.configure(&src, &dst, norm_info); |
| |
| // Allocate tensors |
| src.allocator()->allocate(); |
| dst.allocator()->allocate(); |
| |
| BOOST_TEST(!src.info()->is_resizable()); |
| BOOST_TEST(!dst.info()->is_resizable()); |
| |
| // Fill tensors |
| if(dt == DataType::QS8) |
| { |
| const int8_t one_fixed_point = 1 << fixed_point_position; |
| const int8_t minus_one_fixed_point = -one_fixed_point; |
| library->fill_tensor_uniform(NEAccessor(src), 0, minus_one_fixed_point, one_fixed_point); |
| } |
| else |
| { |
| library->fill_tensor_uniform(NEAccessor(src), 0); |
| } |
| |
| // Compute function |
| norm.run(); |
| |
| return dst; |
| } |
| } // namespace |
| |
| #ifndef DOXYGEN_SKIP_THIS |
| BOOST_AUTO_TEST_SUITE(NEON) |
| BOOST_AUTO_TEST_SUITE(NormalizationLayer) |
| |
| #ifdef ARM_COMPUTE_ENABLE_FP16 |
| BOOST_AUTO_TEST_SUITE(Float16) |
| BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit")) |
| BOOST_DATA_TEST_CASE(RunSmall, |
| SmallShapes() * DataType::F16 *NormalizationTypes() * boost::unit_test::data::xrange(3, 9, 2) * boost::unit_test::data::make({ 0.5f, 1.0f, 2.0f }), |
| shape, dt, norm_type, norm_size, beta) |
| { |
| // Provide normalization layer information |
| NormalizationLayerInfo norm_info(norm_type, norm_size, 5, beta); |
| |
| // Compute function |
| Tensor dst = compute_normalization_layer(shape, dt, norm_info); |
| |
| // Compute reference |
| RawTensor ref_dst = Reference::compute_reference_normalization_layer(shape, dt, norm_info); |
| |
| // Validate output |
| validate(NEAccessor(dst), ref_dst, normalization_layer_tolerance(DataType::F16)); |
| } |
| |
| BOOST_AUTO_TEST_SUITE_END() |
| #endif /* ARM_COMPUTE_ENABLE_FP16 */ |
| |
| BOOST_AUTO_TEST_SUITE(Float) |
| BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit")) |
| BOOST_DATA_TEST_CASE(RunSmall, |
| SmallShapes() * DataType::F32 *NormalizationTypes() * boost::unit_test::data::xrange(3, 9, 2) * boost::unit_test::data::make({ 0.5f, 1.0f, 2.0f }), |
| shape, dt, norm_type, norm_size, beta) |
| { |
| // Provide normalization layer information |
| NormalizationLayerInfo norm_info(norm_type, norm_size, 5, beta); |
| |
| // Compute function |
| Tensor dst = compute_normalization_layer(shape, dt, norm_info); |
| |
| // Compute reference |
| RawTensor ref_dst = Reference::compute_reference_normalization_layer(shape, dt, norm_info); |
| |
| // Validate output |
| validate(NEAccessor(dst), ref_dst, normalization_layer_tolerance(DataType::F32)); |
| } |
| BOOST_AUTO_TEST_SUITE_END() |
| |
| BOOST_AUTO_TEST_SUITE(Quantized) |
| BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit")) |
| BOOST_DATA_TEST_CASE(RunSmall, |
| SmallShapes() * DataType::QS8 *NormalizationTypes() * boost::unit_test::data::xrange(3, 7, 2) * (boost::unit_test::data::xrange(1, 6) * boost::unit_test::data::make({ 0.5f, 1.0f, 2.0f })), |
| shape, dt, norm_type, norm_size, fixed_point_position, beta) |
| { |
| // Provide normalization layer information |
| NormalizationLayerInfo norm_info(norm_type, norm_size, 5, beta, 1.f); |
| |
| // Compute function |
| Tensor dst = compute_normalization_layer(shape, dt, norm_info, fixed_point_position); |
| |
| // Compute reference |
| RawTensor ref_dst = Reference::compute_reference_normalization_layer(shape, dt, norm_info, fixed_point_position); |
| |
| // Validate output |
| validate(NEAccessor(dst), ref_dst, normalization_layer_tolerance(DataType::QS8)); |
| } |
| BOOST_AUTO_TEST_SUITE_END() |
| |
| BOOST_AUTO_TEST_SUITE_END() |
| BOOST_AUTO_TEST_SUITE_END() |
| #endif /* DOXYGEN_SKIP_THIS */ |