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| author | Vidhya Sudhan Loganathan <vidhyasudhan.loganathan@arm.com> | 2018-08-31 16:10:16 +0100 |
|---|---|---|
| committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:54:54 +0000 |
| commit | 71ecf396bb08e302dc06b2c7ed44001894d3a2ea (patch) | |
| tree | 41a0143c3acd77c9c995c7d97ade143e49719392 /tests/benchmark | |
| parent | 553b999ccc4233b163377e0a55e2377614899a3e (diff) | |
| download | ComputeLibrary-71ecf396bb08e302dc06b2c7ed44001894d3a2ea.tar.gz | |
COMPMID-1266 : support for FP16 in CLWinogradConvolutionLayer
Added support for FP16 in CLWinogradConvolutionLayer: 5x5 kernels and 3x3 kernels(COMPMID-937)
Change-Id: I0f394cbdc978dd04176416e9f612aca3986b09e6
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/145537
Tested-by: Jenkins <bsgcomp@arm.com>
Reviewed-by: Giorgio Arena <giorgio.arena@arm.com>
Diffstat (limited to 'tests/benchmark')
| -rw-r--r-- | tests/benchmark/CL/ConvolutionLayer.cpp | 16 |
1 files changed, 8 insertions, 8 deletions
diff --git a/tests/benchmark/CL/ConvolutionLayer.cpp b/tests/benchmark/CL/ConvolutionLayer.cpp index 1eb219075c..5eb33658ff 100644 --- a/tests/benchmark/CL/ConvolutionLayer.cpp +++ b/tests/benchmark/CL/ConvolutionLayer.cpp @@ -62,25 +62,25 @@ using CLWinogradLayerFixture = WinogradConvolutionLayerFixture<CLTensor, CLWinog REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetWinogradLayer, CLWinogradLayerFixture, 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("DataType", { DataType::F16, DataType::F32 })), framework::dataset::make("Batches", 1))); REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1WinogradLayer, CLWinogradLayerFixture, 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("DataType", { DataType::F16, DataType::F32 })), framework::dataset::make("Batches", 1))); REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4WinogradLayer, CLWinogradLayerFixture, 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("DataType", { DataType::F16, DataType::F32 })), framework::dataset::make("Batches", 1))); REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetWinogradLayer, CLWinogradLayerFixture, 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)), + framework::dataset::make("DataType", { DataType::F16, DataType::F32 })), framework::dataset::make("Batches", 1))); REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetConvolutionLayer, CLGEMMConvolutionLayerFixture, framework::DatasetMode::ALL, @@ -163,25 +163,25 @@ REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2ConvolutionLayer, CLGEMMConvolutionLayerFi REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetWinogradLayer, CLWinogradLayerFixture, 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("DataType", { DataType::F16, DataType::F32 })), framework::dataset::make("Batches", { 4, 8 }))); REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV1WinogradLayer, CLWinogradLayerFixture, 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("DataType", { DataType::F16, DataType::F32 })), framework::dataset::make("Batches", { 4, 8 }))); REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetInceptionV4WinogradLayer, CLWinogradLayerFixture, 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("DataType", { DataType::F16, DataType::F32 })), framework::dataset::make("Batches", { 4, 8 }))); REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetWinogradLayer, CLWinogradLayerFixture, 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)), + framework::dataset::make("DataType", { DataType::F16, DataType::F32 })), framework::dataset::make("Batches", { 4, 8 }))); TEST_SUITE_END() TEST_SUITE_END() |