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| author | Michele Di Giorgio <michele.digiorgio@arm.com> | 2018-03-02 09:43:54 +0000 |
|---|---|---|
| committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:49:37 +0000 |
| commit | 4d33630096c769dd43716dd5607f151e3d5abef7 (patch) | |
| tree | 762897c2acac9553c0dad688d0c21842c8edff16 /tests/benchmark/GLES_COMPUTE | |
| parent | 1cd41495153c4e89d6195b42f870967339c1a13b (diff) | |
| download | ComputeLibrary-4d33630096c769dd43716dd5607f151e3d5abef7.tar.gz | |
COMPMID-987: Make beta and gamma optional in BatchNormalization
Currently we have beta and gamma compulsory in Batch normalization. There are
network that might not need one or both of those. Thus these should be optional
with beta(offset) defaulting to zero and gamma(scale) to 1. Will also reduce
some memory requirements.
Change-Id: I15bf1ec14b814be2acebf1be1a4fba9c4fbd3190
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/123237
Tested-by: Jenkins <bsgcomp@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Diffstat (limited to 'tests/benchmark/GLES_COMPUTE')
| -rw-r--r-- | tests/benchmark/GLES_COMPUTE/BatchNormalizationLayer.cpp | 28 |
1 files changed, 20 insertions, 8 deletions
diff --git a/tests/benchmark/GLES_COMPUTE/BatchNormalizationLayer.cpp b/tests/benchmark/GLES_COMPUTE/BatchNormalizationLayer.cpp index 6e5836ef9e..9a2950b88d 100644 --- a/tests/benchmark/GLES_COMPUTE/BatchNormalizationLayer.cpp +++ b/tests/benchmark/GLES_COMPUTE/BatchNormalizationLayer.cpp @@ -51,19 +51,25 @@ 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::combine(framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::MobileNetBatchNormalizationLayerDataset(), + framework::dataset::combine(framework::dataset::make("UseGamma", { false, true }), + framework::dataset::make("UseBeta", { false, true }))), 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(framework::dataset::combine(datasets::YOLOV2BatchNormalizationLayerDataset(), framework::dataset::make("ActivationInfo", - ActivationLayerInfo())), + framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2BatchNormalizationLayerDataset(), + framework::dataset::combine(framework::dataset::make("UseGamma", { false, true }), + framework::dataset::make("UseBeta", { false, true }))), + 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(framework::dataset::combine(datasets::GoogLeNetInceptionV4BatchNormalizationLayerDataset(), + framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4BatchNormalizationLayerDataset(), + framework::dataset::combine(framework::dataset::make("UseGamma", { false, true }), + framework::dataset::make("UseBeta", { false, true }))), framework::dataset::make("ActivationInfo", ActivationLayerInfo())), data_types), framework::dataset::make("Batches", 1))); @@ -71,19 +77,25 @@ REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4BatchNormalizationLayer, GCB 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::combine(framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::MobileNetBatchNormalizationLayerDataset(), + framework::dataset::combine(framework::dataset::make("UseGamma", { false, true }), + framework::dataset::make("UseBeta", { false, true }))), 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(framework::dataset::combine(datasets::YOLOV2BatchNormalizationLayerDataset(), framework::dataset::make("ActivationInfo", - ActivationLayerInfo())), + framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2BatchNormalizationLayerDataset(), + framework::dataset::combine(framework::dataset::make("UseGamma", { false, true }), + framework::dataset::make("UseBeta", { false, true }))), + 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(framework::dataset::combine(datasets::GoogLeNetInceptionV4BatchNormalizationLayerDataset(), + framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetInceptionV4BatchNormalizationLayerDataset(), + framework::dataset::combine(framework::dataset::make("UseGamma", { false, true }), + framework::dataset::make("UseBeta", { false, true }))), framework::dataset::make("ActivationInfo", ActivationLayerInfo())), data_types), framework::dataset::make("Batches", { 4, 8 }))); |