From 0b1c2db5c29ed80b7f4dd0c4fd6d4ed91b3d1538 Mon Sep 17 00:00:00 2001 From: Georgios Pinitas Date: Fri, 4 Dec 2020 15:51:34 +0000 Subject: Remove (NE/CL)YoloLayer support YOLO layer is too specialized and specific to a single model type. Can be decomposed using split, activation and concatenate layers Partially Resolves: COMPMID-3996 Signed-off-by: Georgios Pinitas Change-Id: I3cde88f8d4cc7d8c70ce1bb3b32b00f8d09bdca2 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/4678 Tested-by: Arm Jenkins Reviewed-by: Michele Di Giorgio --- tests/validation/CL/YOLOLayer.cpp | 140 -------------------------------------- 1 file changed, 140 deletions(-) delete mode 100644 tests/validation/CL/YOLOLayer.cpp (limited to 'tests/validation/CL') diff --git a/tests/validation/CL/YOLOLayer.cpp b/tests/validation/CL/YOLOLayer.cpp deleted file mode 100644 index 95c18d3d95..0000000000 --- a/tests/validation/CL/YOLOLayer.cpp +++ /dev/null @@ -1,140 +0,0 @@ -/* - * Copyright (c) 2018-2020 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/CL/CLTensor.h" -#include "arm_compute/runtime/CL/CLTensorAllocator.h" -#include "arm_compute/runtime/CL/functions/CLYOLOLayer.h" -#include "tests/CL/CLAccessor.h" -#include "tests/PaddingCalculator.h" -#include "tests/datasets/ActivationFunctionsDataset.h" -#include "tests/datasets/ShapeDatasets.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/YOLOLayerFixture.h" - -namespace arm_compute -{ -namespace test -{ -namespace validation -{ -namespace -{ -constexpr AbsoluteTolerance tolerance_f32(1e-6f); -constexpr RelativeTolerance tolerance_f16(0.01f); - -/** Floating point data sets. */ -const auto YOLODataset = combine(combine(combine(combine(framework::dataset::make("InPlace", { false, true }), framework::dataset::make("ActivationFunction", - ActivationLayerInfo::ActivationFunction::LOGISTIC)), - framework::dataset::make("AlphaBeta", { 0.5f, 1.f })), - framework::dataset::make("Classes", 40)), - framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })); -} // namespace - -TEST_SUITE(CL) -TEST_SUITE(YOLOLayer) - -// *INDENT-OFF* -// clang-format off -DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip( - framework::dataset::make("InputInfo", { TensorInfo(TensorShape(16U, 16U, 6U), 1, DataType::U8), // Wrong input data type - TensorInfo(TensorShape(16U, 16U, 6U), 1, DataType::F32), // Invalid activation info - TensorInfo(TensorShape(16U, 16U, 6U), 1, DataType::F32), // Wrong output data type - TensorInfo(TensorShape(16U, 16U, 6U), 1, DataType::F32), // wrong number of classes - TensorInfo(TensorShape(16U, 16U, 6U), 1, DataType::F32), // Mismatching shapes - TensorInfo(TensorShape(17U, 16U, 6U), 1, DataType::F32), // Shrink window - TensorInfo(TensorShape(17U, 16U, 7U), 1, DataType::F32), // Channels not multiple of (num_classes + 5) - TensorInfo(TensorShape(16U, 16U, 6U), 1, DataType::F32), // Valid - }), - framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(16U, 16U, 6U), 1, DataType::F32), - TensorInfo(TensorShape(16U, 16U, 6U), 1, DataType::F32), - TensorInfo(TensorShape(16U, 16U, 6U), 1, DataType::U16), - TensorInfo(TensorShape(16U, 16U, 6U), 1, DataType::F32), - TensorInfo(TensorShape(16U, 11U, 6U), 1, DataType::F32), - TensorInfo(TensorShape(16U, 16U, 6U), 1, DataType::F32), - TensorInfo(TensorShape(16U, 16U, 7U), 1, DataType::F32), - TensorInfo(TensorShape(16U, 16U, 6U), 1, DataType::F32), - })), - framework::dataset::make("ActivationInfo", { ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LOGISTIC), - ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), - ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LOGISTIC), - ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LOGISTIC), - ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LOGISTIC), - ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LOGISTIC), - ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LOGISTIC), - ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LOGISTIC), - })), - framework::dataset::make("Numclasses", { 1, 1, 1, 0, 1, 1, 1, 1 - })), - framework::dataset::make("Expected", { false, false, false, false, false, false, false, true})), - input_info, output_info, act_info, num_classes, expected) -{ - ARM_COMPUTE_EXPECT(bool(CLYOLOLayer::validate(&input_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false), act_info, num_classes)) == expected, framework::LogLevel::ERRORS); -} -// clang-format on -// *INDENT-ON* - -template -using CLYOLOLayerFixture = YOLOValidationFixture; - -TEST_SUITE(Float) -TEST_SUITE(FP32) -FIXTURE_DATA_TEST_CASE(RunSmall, CLYOLOLayerFixture, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallYOLOShapes(), YOLODataset), framework::dataset::make("DataType", - DataType::F32))) -{ - // Validate output - validate(CLAccessor(_target), _reference, tolerance_f32); -} - -FIXTURE_DATA_TEST_CASE(RunLarge, CLYOLOLayerFixture, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeYOLOShapes(), YOLODataset), framework::dataset::make("DataType", - DataType::F32))) -{ - // Validate output - validate(CLAccessor(_target), _reference, tolerance_f32); -} -TEST_SUITE_END() // FP32 - -TEST_SUITE(FP16) -FIXTURE_DATA_TEST_CASE(RunSmall, CLYOLOLayerFixture, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallYOLOShapes(), YOLODataset), framework::dataset::make("DataType", - DataType::F16))) -{ - // Validate output - validate(CLAccessor(_target), _reference, tolerance_f16); -} -FIXTURE_DATA_TEST_CASE(RunLarge, CLYOLOLayerFixture, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeYOLOShapes(), YOLODataset), framework::dataset::make("DataType", - DataType::F16))) -{ - // Validate output - validate(CLAccessor(_target), _reference, tolerance_f16); -} -TEST_SUITE_END() // FP16 -TEST_SUITE_END() // Float - -TEST_SUITE_END() // YOLOLayer -TEST_SUITE_END() // CL -} // namespace validation -} // namespace test -} // namespace arm_compute -- cgit v1.2.1