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Diffstat (limited to 'tests/validation_new/NEON/ConvolutionLayer.cpp')
| -rw-r--r-- | tests/validation_new/NEON/ConvolutionLayer.cpp | 192 |
1 files changed, 0 insertions, 192 deletions
diff --git a/tests/validation_new/NEON/ConvolutionLayer.cpp b/tests/validation_new/NEON/ConvolutionLayer.cpp deleted file mode 100644 index 1efff02428..0000000000 --- a/tests/validation_new/NEON/ConvolutionLayer.cpp +++ /dev/null @@ -1,192 +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 "arm_compute/core/Types.h" -#include "arm_compute/runtime/NEON/functions/NEConvolutionLayer.h" -#include "arm_compute/runtime/Tensor.h" -#include "arm_compute/runtime/TensorAllocator.h" -#include "framework/Asserts.h" -#include "framework/Macros.h" -#include "framework/datasets/Datasets.h" -#include "tests/NEON/Accessor.h" -#include "tests/PaddingCalculator.h" -#include "tests/datasets_new/LargeConvolutionLayerDataset.h" -#include "tests/datasets_new/SmallConvolutionLayerDataset.h" -#include "tests/validation_new/Validation.h" -#include "tests/validation_new/fixtures/ConvolutionLayerFixture.h" -#include "tests/validation_new/half.h" - -namespace arm_compute -{ -namespace test -{ -namespace validation -{ -namespace -{ -const AbsoluteTolerance<float> tolerance_f32(0.001f); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F32 */ -#ifdef ARM_COMPUTE_ENABLE_FP16 -const AbsoluteTolerance<float> tolerance_f16(0.01f); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F16 */ -#endif /* ARM_COMPUTE_ENABLE_FP16 */ -const AbsoluteTolerance<float> tolerance_q(1.0f); /**< Tolerance value for comparing reference's output against implementation's output for fixed point data types */ - -/** CNN data types */ -const auto CNNDataTypes = framework::dataset::make("DataType", -{ -#ifdef ARM_COMPUTE_ENABLE_FP16 - DataType::F16, -#endif /* ARM_COMPUTE_ENABLE_FP16 */ - DataType::F32, - DataType::QS8, - DataType::QS16, -}); -} // namespace - -TEST_SUITE(NEON) -TEST_SUITE(ConvolutionLayer) - -DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::SmallConvolutionLayerDataset(), datasets::LargeConvolutionLayerDataset()), CNNDataTypes), - input_shape, weights_shape, bias_shape, output_shape, info, data_type) -{ - // Set fixed point position data type allowed - int fixed_point_position = is_data_type_fixed_point(data_type) ? 3 : 0; - - // Create tensors - Tensor src = create_tensor<Tensor>(input_shape, data_type, 1, fixed_point_position); - Tensor weights = create_tensor<Tensor>(weights_shape, data_type, 1, fixed_point_position); - Tensor bias = create_tensor<Tensor>(bias_shape, data_type, 1, fixed_point_position); - Tensor dst = create_tensor<Tensor>(output_shape, data_type, 1, fixed_point_position); - - ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS); - ARM_COMPUTE_EXPECT(weights.info()->is_resizable(), framework::LogLevel::ERRORS); - ARM_COMPUTE_EXPECT(bias.info()->is_resizable(), framework::LogLevel::ERRORS); - ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS); - - // Create and configure function - NEConvolutionLayer conv; - conv.configure(&src, &weights, &bias, &dst, info); - - // Validate valid region - const ValidRegion src_valid_region = shape_to_valid_region(input_shape); - const ValidRegion weights_valid_region = shape_to_valid_region(weights_shape); - const ValidRegion bias_valid_region = shape_to_valid_region(bias_shape); - const ValidRegion dst_valid_region = shape_to_valid_region(output_shape); - - validate(src.info()->valid_region(), src_valid_region); - validate(weights.info()->valid_region(), weights_valid_region); - validate(bias.info()->valid_region(), bias_valid_region); - validate(dst.info()->valid_region(), dst_valid_region); - - // Validate padding - //TODO(COMPMID-415) Need to validate padding? -} - -template <typename T> -using NEConvolutionLayerFixture = ConvolutionValidationFixture<Tensor, Accessor, NEConvolutionLayer, T>; - -TEST_SUITE(Float) -#ifdef ARM_COMPUTE_ENABLE_FP16 -TEST_SUITE(FP16) -FIXTURE_DATA_TEST_CASE(RunSmall, NEConvolutionLayerFixture<half_float::half>, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallConvolutionLayerDataset(), - framework::dataset::make("DataType", - DataType::F16))) -{ - // Validate output - validate(Accessor(_target), _reference, tolerance_f16); -} -FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionLayerFixture<half_float::half>, framework::DatasetMode::NIGHTLY, combine(datasets::LargeConvolutionLayerDataset(), - framework::dataset::make("DataType", - DataType::F16))) -{ - // Validate output - validate(Accessor(_target), _reference, tolerance_f16); -} -TEST_SUITE_END() -#endif /* ARM_COMPUTE_ENABLE_FP16 */ - -TEST_SUITE(FP32) -FIXTURE_DATA_TEST_CASE(RunSmall, NEConvolutionLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallConvolutionLayerDataset(), framework::dataset::make("DataType", - DataType::F32))) -{ - // Validate output - validate(Accessor(_target), _reference, tolerance_f32); -} -FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(datasets::LargeConvolutionLayerDataset(), framework::dataset::make("DataType", - DataType::F32))) -{ - // Validate output - validate(Accessor(_target), _reference, tolerance_f32); -} -TEST_SUITE_END() -TEST_SUITE_END() - -template <typename T> -using NEConvolutionLayerFixedPointFixture = ConvolutionValidationFixedPointFixture<Tensor, Accessor, NEConvolutionLayer, T>; - -TEST_SUITE(Quantized) -TEST_SUITE(QS8) -// We test for fixed point precision [4,6] -FIXTURE_DATA_TEST_CASE(RunSmall, NEConvolutionLayerFixedPointFixture<int8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallConvolutionLayerDataset(), - framework::dataset::make("DataType", - DataType::QS8)), - framework::dataset::make("FractionalBits", 4, 7))) -{ - // Validate output - validate(Accessor(_target), _reference, tolerance_q); -} -FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionLayerFixedPointFixture<int8_t>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeConvolutionLayerDataset(), - framework::dataset::make("DataType", - DataType::QS8)), - framework::dataset::make("FractionalBits", 4, 7))) -{ - // Validate output - validate(Accessor(_target), _reference, tolerance_q); -} -TEST_SUITE_END() - -TEST_SUITE(QS16) -// Testing for fixed point position [1,14) -FIXTURE_DATA_TEST_CASE(RunSmall, NEConvolutionLayerFixedPointFixture<int16_t>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallConvolutionLayerDataset(), - framework::dataset::make("DataType", - DataType::QS16)), - framework::dataset::make("FractionalBits", 1, 14))) -{ - // Validate output - validate(Accessor(_target), _reference, tolerance_q); -} -FIXTURE_DATA_TEST_CASE(RunLarge, NEConvolutionLayerFixedPointFixture<int16_t>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeConvolutionLayerDataset(), - framework::dataset::make("DataType", - DataType::QS16)), - framework::dataset::make("FractionalBits", 1, 14))) -{ - // Validate output - validate(Accessor(_target), _reference, tolerance_q); -} -TEST_SUITE_END() -TEST_SUITE_END() - -TEST_SUITE_END() -TEST_SUITE_END() -} // namespace validation -} // namespace test -} // namespace arm_compute |