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authorGeorgios Pinitas <georgios.pinitas@arm.com>2018-04-26 20:34:58 +0100
committerAnthony Barbier <anthony.barbier@arm.com>2018-11-02 16:50:15 +0000
commit9fb1159e2501f276a27d32264bece54b3d42d258 (patch)
tree9b23fa7f12d889096b9fd36897f61f8d67f98a3b /tests/benchmark
parent43f6afef70c29264c9c40032faf35a1f1d3379af (diff)
downloadComputeLibrary-9fb1159e2501f276a27d32264bece54b3d42d258.tar.gz
COMPMID-1074: Rename WinograLayer.cpp to WinogradConvolutionLayer.cpp
Change-Id: Iccac7cd6cb458469568d0cd6fb36b262353f4188 Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/129261 Tested-by: Jenkins <bsgcomp@arm.com> Reviewed-by: Pablo Tello <pablo.tello@arm.com>
Diffstat (limited to 'tests/benchmark')
-rw-r--r--tests/benchmark/CL/ConvolutionLayer.cpp4
-rw-r--r--tests/benchmark/NEON/ConvolutionLayer.cpp22
-rw-r--r--tests/benchmark/fixtures/WinogradConvolutionLayerFixture.h (renamed from tests/benchmark/fixtures/WinogradLayerFixture.h)8
3 files changed, 17 insertions, 17 deletions
diff --git a/tests/benchmark/CL/ConvolutionLayer.cpp b/tests/benchmark/CL/ConvolutionLayer.cpp
index 3cf04295e4..e1cf99b573 100644
--- a/tests/benchmark/CL/ConvolutionLayer.cpp
+++ b/tests/benchmark/CL/ConvolutionLayer.cpp
@@ -29,7 +29,7 @@
#include "arm_compute/runtime/CL/functions/CLWinogradConvolutionLayer.h"
#include "tests/CL/CLAccessor.h"
#include "tests/benchmark/fixtures/ConvolutionLayerFixture.h"
-#include "tests/benchmark/fixtures/WinogradLayerFixture.h"
+#include "tests/benchmark/fixtures/WinogradConvolutionLayerFixture.h"
#include "tests/datasets/system_tests/alexnet/AlexNetConvolutionLayerDataset.h"
#include "tests/datasets/system_tests/googlenet/inceptionv1/GoogLeNetInceptionV1ConvolutionLayerDataset.h"
#include "tests/datasets/system_tests/googlenet/inceptionv4/GoogLeNetInceptionV4ConvolutionLayerDataset.h"
@@ -57,7 +57,7 @@ using CLGEMMConvolutionLayerFixture = ConvolutionLayerFixture<CLTensor, CLGEMMCo
TEST_SUITE(CL)
-using CLWinogradLayerFixture = WinogradLayerFixture<CLTensor, CLWinogradConvolutionLayer, CLAccessor>;
+using CLWinogradLayerFixture = WinogradConvolutionLayerFixture<CLTensor, CLWinogradConvolutionLayer, CLAccessor>;
REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetWinogradLayer, CLWinogradLayerFixture, framework::DatasetMode::ALL,
framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetWinogradLayerDataset(),
diff --git a/tests/benchmark/NEON/ConvolutionLayer.cpp b/tests/benchmark/NEON/ConvolutionLayer.cpp
index e7f2788020..ac27e7ad31 100644
--- a/tests/benchmark/NEON/ConvolutionLayer.cpp
+++ b/tests/benchmark/NEON/ConvolutionLayer.cpp
@@ -24,12 +24,12 @@
#include "arm_compute/core/TensorShape.h"
#include "arm_compute/core/Types.h"
#include "arm_compute/runtime/NEON/functions/NEConvolutionLayer.h"
-#include "arm_compute/runtime/NEON/functions/NEWinogradLayer.h"
+#include "arm_compute/runtime/NEON/functions/NEWinogradConvolutionLayer.h"
#include "arm_compute/runtime/Tensor.h"
#include "arm_compute/runtime/TensorAllocator.h"
#include "tests/NEON/Accessor.h"
#include "tests/benchmark/fixtures/ConvolutionLayerFixture.h"
-#include "tests/benchmark/fixtures/WinogradLayerFixture.h"
+#include "tests/benchmark/fixtures/WinogradConvolutionLayerFixture.h"
#include "tests/datasets/system_tests/alexnet/AlexNetConvolutionLayerDataset.h"
#include "tests/datasets/system_tests/googlenet/inceptionv1/GoogLeNetInceptionV1ConvolutionLayerDataset.h"
#include "tests/datasets/system_tests/googlenet/inceptionv4/GoogLeNetInceptionV4ConvolutionLayerDataset.h"
@@ -62,27 +62,27 @@ using NEGEMMConvolutionLayerFixture = ConvolutionLayerFixture<Tensor, NEGEMMConv
TEST_SUITE(NEON)
#if defined(__aarch64__)
-using NEWinogradLayerFixture = WinogradLayerFixture<Tensor, NEWinogradLayer, Accessor>;
+using NEWinogradConvolutionLayerFixture = WinogradConvolutionLayerFixture<Tensor, NEWinogradConvolutionLayer, Accessor>;
-REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetWinogradLayer, NEWinogradLayerFixture, framework::DatasetMode::ALL,
+REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetWinogradLayer, NEWinogradConvolutionLayerFixture, framework::DatasetMode::ALL,
framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetWinogradLayerDataset(),
framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))),
framework::dataset::make("DataType", DataType::F32)),
framework::dataset::make("Batches", 1)));
-REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1WinogradLayer, NEWinogradLayerFixture, framework::DatasetMode::ALL,
+REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1WinogradLayer, NEWinogradConvolutionLayerFixture, framework::DatasetMode::ALL,
framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1WinogradLayerDataset(),
framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))),
framework::dataset::make("DataType", DataType::F32)),
framework::dataset::make("Batches", 1)));
-REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4WinogradLayer, NEWinogradLayerFixture, framework::DatasetMode::ALL,
+REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4WinogradLayer, NEWinogradConvolutionLayerFixture, framework::DatasetMode::ALL,
framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4WinogradLayerDataset(),
framework::dataset::make("ActivationInfo", ActivationLayerInfo())),
framework::dataset::make("DataType", DataType::F32)),
framework::dataset::make("Batches", 1)));
-REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetWinogradLayer, NEWinogradLayerFixture, framework::DatasetMode::ALL,
+REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetWinogradLayer, NEWinogradConvolutionLayerFixture, framework::DatasetMode::ALL,
framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetWinogradLayerDataset(),
framework::dataset::make("ActivationInfo", ActivationLayerInfo())),
framework::dataset::make("DataType", DataType::F32)),
@@ -170,25 +170,25 @@ REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2ConvolutionLayer, NEGEMMConvolutionLayerFi
framework::dataset::make("Batches", { 1, 4, 8 })));
#if defined(__aarch64__)
-REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetWinogradLayer, NEWinogradLayerFixture, framework::DatasetMode::NIGHTLY,
+REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetWinogradLayer, NEWinogradConvolutionLayerFixture, framework::DatasetMode::NIGHTLY,
framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::AlexNetWinogradLayerDataset(),
framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))),
framework::dataset::make("DataType", DataType::F32)),
framework::dataset::make("Batches", { 4, 8 })));
-REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1WinogradLayer, NEWinogradLayerFixture, framework::DatasetMode::NIGHTLY,
+REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1WinogradLayer, NEWinogradConvolutionLayerFixture, framework::DatasetMode::NIGHTLY,
framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV1WinogradLayerDataset(),
framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))),
framework::dataset::make("DataType", DataType::F32)),
framework::dataset::make("Batches", { 4, 8 })));
-REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4WinogradLayer, NEWinogradLayerFixture, framework::DatasetMode::NIGHTLY,
+REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4WinogradLayer, NEWinogradConvolutionLayerFixture, framework::DatasetMode::NIGHTLY,
framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4WinogradLayerDataset(),
framework::dataset::make("ActivationInfo", ActivationLayerInfo())),
framework::dataset::make("DataType", DataType::F32)),
framework::dataset::make("Batches", { 4, 8 })));
-REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetWinogradLayer, NEWinogradLayerFixture, framework::DatasetMode::NIGHTLY,
+REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetWinogradLayer, NEWinogradConvolutionLayerFixture, framework::DatasetMode::NIGHTLY,
framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetWinogradLayerDataset(),
framework::dataset::make("ActivationInfo", ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU))),
framework::dataset::make("DataType", DataType::F32)),
diff --git a/tests/benchmark/fixtures/WinogradLayerFixture.h b/tests/benchmark/fixtures/WinogradConvolutionLayerFixture.h
index 0be535f4cc..8ed75af664 100644
--- a/tests/benchmark/fixtures/WinogradLayerFixture.h
+++ b/tests/benchmark/fixtures/WinogradConvolutionLayerFixture.h
@@ -21,8 +21,8 @@
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
-#ifndef ARM_COMPUTE_TEST_WINOGRADLAYERFIXTURE
-#define ARM_COMPUTE_TEST_WINOGRADLAYERFIXTURE
+#ifndef ARM_COMPUTE_TEST_WINOGRAD_CONVOLUTION_LAYER_FIXTURE
+#define ARM_COMPUTE_TEST_WINOGRAD_CONVOLUTION_LAYER_FIXTURE
#include "arm_compute/core/TensorShape.h"
#include "arm_compute/core/Types.h"
@@ -38,7 +38,7 @@ namespace benchmark
{
/** Fixture that can be used for NEON and CL */
template <typename TensorType, typename Function, typename Accessor>
-class WinogradLayerFixture : public framework::Fixture
+class WinogradConvolutionLayerFixture : public framework::Fixture
{
public:
template <typename...>
@@ -98,4 +98,4 @@ private:
} // namespace benchmark
} // namespace test
} // namespace arm_compute
-#endif /* ARM_COMPUTE_TEST_WINOGRADLAYERFIXTURE */
+#endif /* ARM_COMPUTE_TEST_WINOGRAD_CONVOLUTION_LAYER_FIXTURE */
generated by cgit v1.2.1 (git 2.23.0) at 2024-05-20 02:22:51 +0000