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author | Georgios Pinitas <georgios.pinitas@arm.com> | 2019-12-16 17:00:49 +0000 |
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committer | Manuel Bottini <manuel.bottini@arm.com> | 2019-12-18 17:13:27 +0000 |
commit | d0bbf0351e560bfd35f248ac6137ce88fff23c30 (patch) | |
tree | 2fc1fee5727caf95cfd3700c34276190b997a3e9 /tests/benchmark/NEON/ActivationLayer.cpp | |
parent | 27f223db96c6f5389b3e11a64d815edbd85dfd4c (diff) | |
download | ComputeLibrary-d0bbf0351e560bfd35f248ac6137ce88fff23c30.tar.gz |
COMPMID-2932: Clear untracked benchmarks
- Removes untracked benchmarks
- Leaves a couple per backend for public show-case
Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com>
Change-Id: I5fac2aec8617b03131ec0f3d64ed40fbbd4a63c2
Reviewed-on: https://review.mlplatform.org/c/2492
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Giuseppe Rossini <giuseppe.rossini@arm.com>
Reviewed-by: Michalis Spyrou <michalis.spyrou@arm.com>
Comments-Addressed: Michalis Spyrou <michalis.spyrou@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'tests/benchmark/NEON/ActivationLayer.cpp')
-rw-r--r-- | tests/benchmark/NEON/ActivationLayer.cpp | 132 |
1 files changed, 0 insertions, 132 deletions
diff --git a/tests/benchmark/NEON/ActivationLayer.cpp b/tests/benchmark/NEON/ActivationLayer.cpp deleted file mode 100644 index 1c4ea214b7..0000000000 --- a/tests/benchmark/NEON/ActivationLayer.cpp +++ /dev/null @@ -1,132 +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/TensorShape.h" -#include "arm_compute/core/Types.h" -#include "arm_compute/runtime/NEON/functions/NEActivationLayer.h" -#include "arm_compute/runtime/Tensor.h" -#include "arm_compute/runtime/TensorAllocator.h" -#include "tests/NEON/Accessor.h" -#include "tests/benchmark/fixtures/ActivationLayerFixture.h" -#include "tests/datasets/system_tests/alexnet/AlexNetActivationLayerDataset.h" -#include "tests/datasets/system_tests/googlenet/inceptionv1/GoogLeNetInceptionV1ActivationLayerDataset.h" -#include "tests/datasets/system_tests/googlenet/inceptionv4/GoogLeNetInceptionV4ActivationLayerDataset.h" -#include "tests/datasets/system_tests/lenet5/LeNet5ActivationLayerDataset.h" -#include "tests/datasets/system_tests/mobilenet/MobileNetActivationLayerDataset.h" -#include "tests/datasets/system_tests/squeezenet/SqueezeNetActivationLayerDataset.h" -#include "tests/datasets/system_tests/vgg/vgg16/VGG16ActivationLayerDataset.h" -#include "tests/datasets/system_tests/yolo/v2/YOLOV2ActivationLayerDataset.h" -#include "tests/framework/Macros.h" -#include "tests/framework/datasets/Datasets.h" -#include "utils/TypePrinter.h" - -namespace arm_compute -{ -namespace test -{ -namespace benchmark -{ -namespace -{ -#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC -const auto data_types = framework::dataset::make("DataType", { DataType::F16, DataType::F32 }); -const auto data_types_mobilenet = framework::dataset::make("DataType", { DataType::F16, DataType::F32, DataType::QASYMM8 }); -#else /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ -const auto data_types = framework::dataset::make("DataType", { DataType::F32 }); -const auto data_types_mobilenet = framework::dataset::make("DataType", { DataType::F32, DataType::QASYMM8 }); -#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ -} // namespace - -using NEActivationLayerFixture = ActivationLayerFixture<Tensor, NEActivationLayer, Accessor>; - -TEST_SUITE(NEON) - -REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetActivationLayer, NEActivationLayerFixture, framework::DatasetMode::ALL, - framework::dataset::combine(framework::dataset::combine(datasets::AlexNetActivationLayerDataset(), data_types), - framework::dataset::make("Batches", 1))); - -REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5ActivationLayer, NEActivationLayerFixture, framework::DatasetMode::ALL, - framework::dataset::combine(framework::dataset::combine(datasets::LeNet5ActivationLayerDataset(), data_types), - framework::dataset::make("Batches", 1))); - -REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetActivationLayer, NEActivationLayerFixture, framework::DatasetMode::ALL, - framework::dataset::combine(framework::dataset::combine(datasets::MobileNetActivationLayerDataset(), data_types_mobilenet), - framework::dataset::make("Batches", 1))); - -REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1ActivationLayer, NEActivationLayerFixture, framework::DatasetMode::ALL, - framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1ActivationLayerDataset(), data_types), - framework::dataset::make("Batches", 1))); - -REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4ActivationLayer, NEActivationLayerFixture, framework::DatasetMode::ALL, - framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4ActivationLayerDataset(), data_types), - framework::dataset::make("Batches", 1))); - -REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetActivationLayer, NEActivationLayerFixture, framework::DatasetMode::ALL, - framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetActivationLayerDataset(), data_types), - framework::dataset::make("Batches", 1))); - -REGISTER_FIXTURE_DATA_TEST_CASE(VGG16ActivationLayer, NEActivationLayerFixture, framework::DatasetMode::ALL, - framework::dataset::combine(framework::dataset::combine(datasets::VGG16ActivationLayerDataset(), data_types), - framework::dataset::make("Batches", 1))); - -REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2ActivationLayer, NEActivationLayerFixture, framework::DatasetMode::ALL, - framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2ActivationLayerDataset(), data_types), - framework::dataset::make("Batches", 1))); - -TEST_SUITE(NIGHTLY) -REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetActivationLayer, NEActivationLayerFixture, framework::DatasetMode::NIGHTLY, - framework::dataset::combine(framework::dataset::combine(datasets::AlexNetActivationLayerDataset(), data_types), - framework::dataset::make("Batches", { 4, 8 }))); - -REGISTER_FIXTURE_DATA_TEST_CASE(LeNet5ActivationLayer, NEActivationLayerFixture, framework::DatasetMode::NIGHTLY, - framework::dataset::combine(framework::dataset::combine(datasets::LeNet5ActivationLayerDataset(), data_types), - framework::dataset::make("Batches", { 4, 8 }))); - -REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetActivationLayer, NEActivationLayerFixture, framework::DatasetMode::NIGHTLY, - framework::dataset::combine(framework::dataset::combine(datasets::MobileNetActivationLayerDataset(), data_types_mobilenet), - framework::dataset::make("Batches", { 4, 8 }))); - -REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1ActivationLayer, NEActivationLayerFixture, framework::DatasetMode::NIGHTLY, - framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1ActivationLayerDataset(), data_types), - framework::dataset::make("Batches", { 4, 8 }))); - -REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4ActivationLayer, NEActivationLayerFixture, framework::DatasetMode::NIGHTLY, - framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4ActivationLayerDataset(), data_types), - framework::dataset::make("Batches", { 4, 8 }))); - -REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetActivationLayer, NEActivationLayerFixture, framework::DatasetMode::NIGHTLY, - framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetActivationLayerDataset(), data_types), - framework::dataset::make("Batches", { 4, 8 }))); - -REGISTER_FIXTURE_DATA_TEST_CASE(VGG16ActivationLayer, NEActivationLayerFixture, framework::DatasetMode::NIGHTLY, - framework::dataset::combine(framework::dataset::combine(datasets::VGG16ActivationLayerDataset(), data_types), - framework::dataset::make("Batches", { 2 }))); - -REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2ActivationLayer, NEActivationLayerFixture, framework::DatasetMode::NIGHTLY, - framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2ActivationLayerDataset(), data_types), - framework::dataset::make("Batches", { 4, 8 }))); -TEST_SUITE_END() -TEST_SUITE_END() -} // namespace benchmark -} // namespace test -} // namespace arm_compute |