diff options
Diffstat (limited to 'tests/validation/NEON')
-rw-r--r-- | tests/validation/NEON/LocallyConnected.cpp | 159 |
1 files changed, 0 insertions, 159 deletions
diff --git a/tests/validation/NEON/LocallyConnected.cpp b/tests/validation/NEON/LocallyConnected.cpp deleted file mode 100644 index 37c77520a0..0000000000 --- a/tests/validation/NEON/LocallyConnected.cpp +++ /dev/null @@ -1,159 +0,0 @@ -/* - * Copyright (c) 2017-2018 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/NELocallyConnectedLayer.h" -#include "arm_compute/runtime/Tensor.h" -#include "arm_compute/runtime/TensorAllocator.h" -#include "tests/NEON/Accessor.h" -#include "tests/PaddingCalculator.h" -#include "tests/datasets/LocallyConnectedDataset.h" -#include "tests/framework/Asserts.h" -#include "tests/framework/Macros.h" -#include "tests/framework/datasets/Datasets.h" -#include "tests/validation/Validation.h" -#include "tests/validation/fixtures/LocallyConnectedFixture.h" - -namespace arm_compute -{ -namespace test -{ -namespace validation -{ -namespace -{ -constexpr RelativeTolerance<float> tolerance_f32(0.0001f); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F32 */ -} // namespace - -TEST_SUITE(NEON) -TEST_SUITE(LocallyConnected) - -// *INDENT-OFF* -// clang-format off -DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip( - framework::dataset::make("InputInfo", { TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), // Mismatching data type input/weights - TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), // Mismatching data type input/bias - TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), // Mismatching data type input/output - TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), // Mismatching shape input/weights - TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), // Mismatching shape input/bias - TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), // Mismatching shape input/output - TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), // Asymmetric padding - TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32) - }), - framework::dataset::make("WeightsInfo",{ TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F16), - TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32), - TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32), - TensorInfo(TensorShape(3U, 3U, 5U, 21U, 274U), 1, DataType::F32), - TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32), - TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32), - TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32), - TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32) - })), - framework::dataset::make("BiasInfo", { TensorInfo(TensorShape(21U, 275U), 1, DataType::F32), - TensorInfo(TensorShape(21U, 275U), 1, DataType::F16), - TensorInfo(TensorShape(21U, 275U), 1, DataType::F32), - TensorInfo(TensorShape(21U, 275U), 1, DataType::F32), - TensorInfo(TensorShape(21U, 274U), 1, DataType::F32), - TensorInfo(TensorShape(21U, 275U), 1, DataType::F32), - TensorInfo(TensorShape(21U, 275U), 1, DataType::F32), - TensorInfo(TensorShape(21U, 275U), 1, DataType::F32) - })), - framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), - TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), - TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F16), - TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), - TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), - TensorInfo(TensorShape(11U, 25U, 22U), 1, DataType::F32), - TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32), - TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32) - })), - framework::dataset::make("PadStride", { PadStrideInfo(2, 1, 0, 0), - PadStrideInfo(2, 1, 0, 0), - PadStrideInfo(2, 1, 0, 0), - PadStrideInfo(2, 1, 0, 0), - PadStrideInfo(2, 1, 0, 0), - PadStrideInfo(2, 1, 0, 0), - PadStrideInfo(2, 1, 1, 0, 0, 0, DimensionRoundingType::FLOOR), - PadStrideInfo(2, 1, 0, 0) - })), - framework::dataset::make("Expected", { false, false, false, false, false, false, false, true })), - input_info, weights_info, bias_info, output_info, conv_info, expected) -{ - bool is_valid = bool(NELocallyConnectedLayer::validate(&input_info.clone()->set_is_resizable(false), - &weights_info.clone()->set_is_resizable(false), - &bias_info.clone()->set_is_resizable(false), - &output_info.clone()->set_is_resizable(false), - conv_info)); - ARM_COMPUTE_EXPECT(is_valid == expected, framework::LogLevel::ERRORS); -} -// clang-format on -// *INDENT-ON* - -DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(framework::dataset::concat(datasets::SmallLocallyConnectedDataset(), datasets::LargeLocallyConnectedDataset()), - framework::dataset::make("DataType", DataType::F32)), - src_shape, weights_shape, bias_shape, dst_shape, info, dilation, data_type) -{ - ARM_COMPUTE_UNUSED(dilation); - - // Create tensors - Tensor src = create_tensor<Tensor>(src_shape, data_type); - Tensor weights = create_tensor<Tensor>(weights_shape, data_type); - Tensor bias = create_tensor<Tensor>(bias_shape, data_type); - Tensor dst = create_tensor<Tensor>(dst_shape, data_type); - - 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. - NELocallyConnectedLayer lc; - lc.configure(&src, &weights, &bias, &dst, info); - - // Validate valid region - const ValidRegion dst_valid_region = shape_to_valid_region(dst_shape); - validate(dst.info()->valid_region(), dst_valid_region); -} - -template <typename T> -using NELocallyConnectedFixture = LocallyConnectedValidationFixture<Tensor, Accessor, NELocallyConnectedLayer, T>; -FIXTURE_DATA_TEST_CASE(RunSmall, NELocallyConnectedFixture<float>, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallLocallyConnectedDataset(), - framework::dataset::make("DataType", - DataType::F32))) -{ - // Validate output - validate(Accessor(_target), _reference, tolerance_f32); -} - -FIXTURE_DATA_TEST_CASE(RunLarge, NELocallyConnectedFixture<float>, framework::DatasetMode::NIGHTLY, combine(datasets::LargeLocallyConnectedDataset(), - framework::dataset::make("DataType", - DataType::F32))) -{ - // Validate output - validate(Accessor(_target), _reference, tolerance_f32); -} -TEST_SUITE_END() -TEST_SUITE_END() -} // namespace validation -} // namespace test -} // namespace arm_compute |