diff options
Diffstat (limited to 'tests/benchmark')
-rw-r--r-- | tests/benchmark/CL/BatchNormalizationLayer.cpp | 26 | ||||
-rw-r--r--[-rwxr-xr-x] | tests/benchmark/GLES_COMPUTE/BatchNormalizationLayer.cpp | 28 | ||||
-rw-r--r-- | tests/benchmark/NEON/BatchNormalizationLayer.cpp | 27 | ||||
-rw-r--r-- | tests/benchmark/fixtures/BatchNormalizationLayerFixture.h | 4 |
4 files changed, 70 insertions, 15 deletions
diff --git a/tests/benchmark/CL/BatchNormalizationLayer.cpp b/tests/benchmark/CL/BatchNormalizationLayer.cpp index 0fc8727241..a61e7cc745 100644 --- a/tests/benchmark/CL/BatchNormalizationLayer.cpp +++ b/tests/benchmark/CL/BatchNormalizationLayer.cpp @@ -29,6 +29,7 @@ #include "tests/CL/CLAccessor.h" #include "tests/benchmark/fixtures/BatchNormalizationLayerFixture.h" #include "tests/datasets/system_tests/googlenet/inceptionv4/GoogLeNetInceptionV4BatchNormalizationLayerDataset.h" +#include "tests/datasets/system_tests/mobilenet/MobileNetBatchNormalizationLayerDataset.h" #include "tests/datasets/system_tests/yolo/v2/YOLOV2BatchNormalizationLayerDataset.h" #include "tests/framework/Macros.h" #include "tests/framework/datasets/Datasets.h" @@ -47,24 +48,41 @@ using CLBatchNormalizationLayerFixture = BatchNormalizationLayerFixture<CLTensor TEST_SUITE(CL) +REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetBatchNormalizationLayer, CLBatchNormalizationLayerFixture, framework::DatasetMode::ALL, + framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::MobileNetBatchNormalizationLayerDataset(), + framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 6.f))), + data_types), + framework::dataset::make("Batches", 1))); + REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2BatchNormalizationLayer, CLBatchNormalizationLayerFixture, framework::DatasetMode::ALL, - framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2BatchNormalizationLayerDataset(), + framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2BatchNormalizationLayerDataset(), + framework::dataset::make("ActivationInfo", ActivationLayerInfo())), data_types), framework::dataset::make("Batches", 1))); REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4BatchNormalizationLayer, CLBatchNormalizationLayerFixture, framework::DatasetMode::ALL, - framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4BatchNormalizationLayerDataset(), + framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4BatchNormalizationLayerDataset(), + framework::dataset::make("ActivationInfo", ActivationLayerInfo())), data_types), framework::dataset::make("Batches", 1))); TEST_SUITE(NIGHTLY) + +REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetBatchNormalizationLayer, CLBatchNormalizationLayerFixture, framework::DatasetMode::NIGHTLY, + framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::MobileNetBatchNormalizationLayerDataset(), + framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 6.f))), + data_types), + framework::dataset::make("Batches", { 4, 8 }))); + REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2BatchNormalizationLayer, CLBatchNormalizationLayerFixture, framework::DatasetMode::NIGHTLY, - framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2BatchNormalizationLayerDataset(), + framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2BatchNormalizationLayerDataset(), + framework::dataset::make("ActivationInfo", ActivationLayerInfo())), data_types), framework::dataset::make("Batches", { 4, 8 }))); REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4BatchNormalizationLayer, CLBatchNormalizationLayerFixture, framework::DatasetMode::NIGHTLY, - framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4BatchNormalizationLayerDataset(), + framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4BatchNormalizationLayerDataset(), + framework::dataset::make("ActivationInfo", ActivationLayerInfo())), data_types), framework::dataset::make("Batches", { 4, 8 }))); TEST_SUITE_END() diff --git a/tests/benchmark/GLES_COMPUTE/BatchNormalizationLayer.cpp b/tests/benchmark/GLES_COMPUTE/BatchNormalizationLayer.cpp index 4464ea2401..e615860ec8 100755..100644 --- a/tests/benchmark/GLES_COMPUTE/BatchNormalizationLayer.cpp +++ b/tests/benchmark/GLES_COMPUTE/BatchNormalizationLayer.cpp @@ -1,5 +1,5 @@ /* - * Copyright (c) 2017 ARM Limited. + * Copyright (c) 2017-2018 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -29,6 +29,7 @@ #include "tests/GLES_COMPUTE/GCAccessor.h" #include "tests/benchmark/fixtures/BatchNormalizationLayerFixture.h" #include "tests/datasets/system_tests/googlenet/inceptionv4/GoogLeNetInceptionV4BatchNormalizationLayerDataset.h" +#include "tests/datasets/system_tests/mobilenet/MobileNetBatchNormalizationLayerDataset.h" #include "tests/datasets/system_tests/yolo/v2/YOLOV2BatchNormalizationLayerDataset.h" #include "tests/framework/Macros.h" #include "tests/framework/datasets/Datasets.h" @@ -47,24 +48,41 @@ using GCBatchNormalizationLayerFixture = BatchNormalizationLayerFixture<GCTensor TEST_SUITE(GC) +REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetBatchNormalizationLayer, GCBatchNormalizationLayerFixture, framework::DatasetMode::ALL, + framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::MobileNetBatchNormalizationLayerDataset(), + framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 6.f))), + data_types), + framework::dataset::make("Batches", 1))); + REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2BatchNormalizationLayer, GCBatchNormalizationLayerFixture, framework::DatasetMode::ALL, - framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2BatchNormalizationLayerDataset(), + framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2BatchNormalizationLayerDataset(), framework::dataset::make("ActivationInfo", + ActivationLayerInfo())), data_types), framework::dataset::make("Batches", 1))); REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4BatchNormalizationLayer, GCBatchNormalizationLayerFixture, framework::DatasetMode::ALL, - framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4BatchNormalizationLayerDataset(), + framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4BatchNormalizationLayerDataset(), + framework::dataset::make("ActivationInfo", ActivationLayerInfo())), data_types), framework::dataset::make("Batches", 1))); TEST_SUITE(NIGHTLY) + +REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetBatchNormalizationLayer, GCBatchNormalizationLayerFixture, framework::DatasetMode::NIGHTLY, + framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::MobileNetBatchNormalizationLayerDataset(), + framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 6.f))), + data_types), + framework::dataset::make("Batches", { 4, 8 }))); + REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2BatchNormalizationLayer, GCBatchNormalizationLayerFixture, framework::DatasetMode::NIGHTLY, - framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2BatchNormalizationLayerDataset(), + framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2BatchNormalizationLayerDataset(), framework::dataset::make("ActivationInfo", + ActivationLayerInfo())), data_types), framework::dataset::make("Batches", { 4, 8 }))); REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4BatchNormalizationLayer, GCBatchNormalizationLayerFixture, framework::DatasetMode::NIGHTLY, - framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4BatchNormalizationLayerDataset(), + framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4BatchNormalizationLayerDataset(), + framework::dataset::make("ActivationInfo", ActivationLayerInfo())), data_types), framework::dataset::make("Batches", { 4, 8 }))); TEST_SUITE_END() diff --git a/tests/benchmark/NEON/BatchNormalizationLayer.cpp b/tests/benchmark/NEON/BatchNormalizationLayer.cpp index 3a7f2c6b63..2aae3a480b 100644 --- a/tests/benchmark/NEON/BatchNormalizationLayer.cpp +++ b/tests/benchmark/NEON/BatchNormalizationLayer.cpp @@ -33,6 +33,7 @@ #include "tests/benchmark/fixtures/BatchNormalizationLayerFixture.h" #include "tests/datasets/system_tests/googlenet/inceptionv4/GoogLeNetInceptionV4BatchNormalizationLayerDataset.h" +#include "tests/datasets/system_tests/mobilenet/MobileNetBatchNormalizationLayerDataset.h" #include "tests/datasets/system_tests/yolo/v2/YOLOV2BatchNormalizationLayerDataset.h" namespace arm_compute @@ -52,21 +53,39 @@ using NEBatchNormalizationLayerFixture = BatchNormalizationLayerFixture<Tensor, TEST_SUITE(NEON) +REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetBatchNormalizationLayer, NEBatchNormalizationLayerFixture, framework::DatasetMode::ALL, + framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::MobileNetBatchNormalizationLayerDataset(), + framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 6.f))), + data_types), + framework::dataset::make("Batches", 1))); REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2BatchNormalizationLayer, NEBatchNormalizationLayerFixture, framework::DatasetMode::ALL, - framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2BatchNormalizationLayerDataset(), data_types), + framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2BatchNormalizationLayerDataset(), + framework::dataset::make("ActivationInfo", ActivationLayerInfo())), + data_types), framework::dataset::make("Batches", 1))); REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4BatchNormalizationLayer, NEBatchNormalizationLayerFixture, framework::DatasetMode::ALL, - framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4BatchNormalizationLayerDataset(), data_types), + framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4BatchNormalizationLayerDataset(), + framework::dataset::make("ActivationInfo", ActivationLayerInfo())), + data_types), framework::dataset::make("Batches", 1))); TEST_SUITE(NIGHTLY) +REGISTER_FIXTURE_DATA_TEST_CASE(MobileNetBatchNormalizationLayer, NEBatchNormalizationLayerFixture, framework::DatasetMode::NIGHTLY, + framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::MobileNetBatchNormalizationLayerDataset(), + framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 6.f))), + data_types), + framework::dataset::make("Batches", { 4, 8 }))); REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2BatchNormalizationLayer, NEBatchNormalizationLayerFixture, framework::DatasetMode::NIGHTLY, - framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2BatchNormalizationLayerDataset(), data_types), + framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2BatchNormalizationLayerDataset(), + framework::dataset::make("ActivationInfo", ActivationLayerInfo())), + data_types), framework::dataset::make("Batches", { 4, 8 }))); REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4BatchNormalizationLayer, NEBatchNormalizationLayerFixture, framework::DatasetMode::NIGHTLY, - framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4BatchNormalizationLayerDataset(), data_types), + framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4BatchNormalizationLayerDataset(), + framework::dataset::make("ActivationInfo", ActivationLayerInfo())), + data_types), framework::dataset::make("Batches", { 4, 8 }))); TEST_SUITE_END() TEST_SUITE_END() diff --git a/tests/benchmark/fixtures/BatchNormalizationLayerFixture.h b/tests/benchmark/fixtures/BatchNormalizationLayerFixture.h index 38a3263203..a031ec6d96 100644 --- a/tests/benchmark/fixtures/BatchNormalizationLayerFixture.h +++ b/tests/benchmark/fixtures/BatchNormalizationLayerFixture.h @@ -40,7 +40,7 @@ class BatchNormalizationLayerFixture : public framework::Fixture { public: template <typename...> - void setup(TensorShape tensor_shape, TensorShape param_shape, float epsilon, DataType data_type, int batches) + void setup(TensorShape tensor_shape, TensorShape param_shape, float epsilon, ActivationLayerInfo act_info, DataType data_type, int batches) { // Set batched in source and destination shapes const unsigned int fixed_point_position = 4; @@ -55,7 +55,7 @@ public: gamma = create_tensor<TensorType>(param_shape, data_type, 1, fixed_point_position); // Create and configure function - batch_norm_layer.configure(&src, &dst, &mean, &variance, &beta, &gamma, epsilon); + batch_norm_layer.configure(&src, &dst, &mean, &variance, &beta, &gamma, epsilon, act_info); // Allocate tensors src.allocator()->allocate(); |