COMPMID-415: Rename and move tests

The boost validation is now "standalone" in validation_old and builds as
arm_compute_validation_old. The new validation builds now as
arm_compute_validation.

Change-Id: Ib93ba848a25680ac60afb92b461d574a0757150d
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/86187
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>

1 files changed, 0 insertions, 107 deletions

diff --git a/tests/benchmark_new/CL/DirectConvolutionLayer.cpp b/tests/benchmark_new/CL/DirectConvolutionLayer.cpp
deleted file mode 100644
index 675739bac9..0000000000
--- a/tests/benchmark_new/CL/DirectConvolutionLayer.cpp
+++ /dev/null
@@ -1,107 +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/TensorShape.h"
-#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/CLDirectConvolutionLayer.h"
-#include "framework/Macros.h"
-#include "framework/datasets/Datasets.h"
-#include "tests/CL/CLAccessor.h"
-#include "tests/TypePrinter.h"
-#include "tests/datasets_new/system_tests/alexnet/AlexNetConvolutionLayerDataset.h"
-#include "tests/datasets_new/system_tests/googlenet/inceptionv1/GoogLeNetInceptionV1ConvolutionLayerDataset.h"
-#include "tests/datasets_new/system_tests/googlenet/inceptionv4/GoogLeNetInceptionV4ConvolutionLayerDataset.h"
-#include "tests/datasets_new/system_tests/squeezenet/SqueezeNetConvolutionLayerDataset.h"
-#include "tests/datasets_new/system_tests/vgg/vgg16/VGG16ConvolutionLayerDataset.h"
-#include "tests/datasets_new/system_tests/yolo/v2/YOLOV2ConvolutionLayerDataset.h"
-#include "tests/fixtures_new/ConvolutionLayerFixture.h"
-
-namespace arm_compute
-{
-namespace test
-{
-namespace
-{
-const auto data_types = framework::dataset::make("DataType", { DataType::F16, DataType::F32 });
-} // namespace
-
-using CLConvolutionLayerFixture = ConvolutionLayerFixture<CLTensor, CLDirectConvolutionLayer, CLAccessor>;
-
-TEST_SUITE(CL)
-
-REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetDirectConvolutionLayer, CLConvolutionLayerFixture, framework::DatasetMode::ALL,
-                                framework::dataset::combine(framework::dataset::combine(datasets::AlexNetDirectConvolutionLayerDataset(),
-                                                                                        data_types),
-                                                            framework::dataset::make("Batches", 1)));
-
-REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1DirectConvolutionLayer, CLConvolutionLayerFixture, framework::DatasetMode::ALL,
-                                framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1DirectConvolutionLayerDataset(),
-                                                                                        data_types),
-                                                            framework::dataset::make("Batches", 1)));
-
-REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4DirectConvolutionLayer, CLConvolutionLayerFixture, framework::DatasetMode::ALL,
-                                framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4DirectConvolutionLayerDataset(),
-                                                                                        data_types),
-                                                            framework::dataset::make("Batches", 1)));
-
-REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetDirectConvolutionLayer, CLConvolutionLayerFixture, framework::DatasetMode::ALL,
-                                framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(),
-                                                                                        data_types),
-                                                            framework::dataset::make("Batches", 1)));
-
-TEST_SUITE(NIGHTLY)
-REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetDirectConvolutionLayer, CLConvolutionLayerFixture, framework::DatasetMode::NIGHTLY,
-                                framework::dataset::combine(framework::dataset::combine(datasets::AlexNetDirectConvolutionLayerDataset(),
-                                                                                        data_types),
-                                                            framework::dataset::make("Batches", { 4, 8 })));
-
-REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1DirectConvolutionLayer, CLConvolutionLayerFixture, framework::DatasetMode::NIGHTLY,
-                                framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1DirectConvolutionLayerDataset(),
-                                                                                        data_types),
-                                                            framework::dataset::make("Batches", { 4, 8 })));
-
-REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4DirectConvolutionLayer, CLConvolutionLayerFixture, framework::DatasetMode::NIGHTLY,
-                                framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4DirectConvolutionLayerDataset(),
-                                                                                        data_types),
-                                                            framework::dataset::make("Batches", { 4, 8 })));
-
-REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetDirectConvolutionLayer, CLConvolutionLayerFixture, framework::DatasetMode::NIGHTLY,
-                                framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(),
-                                                                                        data_types),
-                                                            framework::dataset::make("Batches", { 4, 8 })));
-
-REGISTER_FIXTURE_DATA_TEST_CASE(VGG16DirectConvolutionLayer, CLConvolutionLayerFixture, framework::DatasetMode::NIGHTLY,
-                                framework::dataset::combine(framework::dataset::combine(datasets::VGG16ConvolutionLayerDataset(),
-                                                                                        data_types),
-                                                            framework::dataset::make("Batches", { 1, 4, 8 })));
-
-REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2DirectConvolutionLayer, CLConvolutionLayerFixture, framework::DatasetMode::NIGHTLY,
-                                framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2ConvolutionLayerDataset(),
-                                                                                        data_types),
-                                                            framework::dataset::make("Batches", { 1, 4, 8 })));
-TEST_SUITE_END()
-TEST_SUITE_END()
-} // namespace test
-} // namespace arm_compute