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author | Moritz Pflanzer <moritz.pflanzer@arm.com> | 2017-07-19 10:18:42 +0100 |
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committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-09-17 14:16:42 +0100 |
commit | 6db73ce5222d4b27b06c4e4aa9e466ceb9a09ba2 (patch) | |
tree | d8649ef21112bd68936904a2008ada1360472320 /tests/validation/NEON/NormalizationLayer.cpp | |
parent | afde732eb016f18c781923cf1e6c9edf68f586f7 (diff) | |
download | ComputeLibrary-6db73ce5222d4b27b06c4e4aa9e466ceb9a09ba2.tar.gz |
COMPMID-415: Move NormalizationLayer to new validation
Change-Id: Icf5781c920836fe87d2db27ca3f9cc4eb2bea554
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/80999
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
Diffstat (limited to 'tests/validation/NEON/NormalizationLayer.cpp')
-rw-r--r-- | tests/validation/NEON/NormalizationLayer.cpp | 177 |
1 files changed, 0 insertions, 177 deletions
diff --git a/tests/validation/NEON/NormalizationLayer.cpp b/tests/validation/NEON/NormalizationLayer.cpp deleted file mode 100644 index 8a5db369d1..0000000000 --- a/tests/validation/NEON/NormalizationLayer.cpp +++ /dev/null @@ -1,177 +0,0 @@ -/* - * 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/Accessor.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::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(Accessor(src), 0, minus_one_fixed_point, one_fixed_point); - } - else - { - library->fill_tensor_uniform(Accessor(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(Accessor(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(Accessor(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(Accessor(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 */ |