diff options
| author | SiCong Li <sicong.li@arm.com> | 2017-07-21 18:24:36 +0100 |
|---|---|---|
| committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-09-17 14:16:42 +0100 |
| commit | 0aea890b2c572013678c61327e2d53da8f402713 (patch) | |
| tree | 0851af5a7033c4db4232217d3076db861a54b65a /tests/benchmark_new/NEON/ConvolutionLayer.cpp | |
| parent | 0d176141ca759f0f45b47ed32547f1e44fd875fb (diff) | |
| download | ComputeLibrary-0aea890b2c572013678c61327e2d53da8f402713.tar.gz | |
COMPMID-450 Add SqueezeNetV1.1 benchmark tests
Change-Id: I489cd7cbc77ac389679ad41876acfb8b09584c0b
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/81360
Reviewed-by: Moritz Pflanzer <moritz.pflanzer@arm.com>
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
Diffstat (limited to 'tests/benchmark_new/NEON/ConvolutionLayer.cpp')
| -rw-r--r-- | tests/benchmark_new/NEON/ConvolutionLayer.cpp | 15 |
1 files changed, 11 insertions, 4 deletions
diff --git a/tests/benchmark_new/NEON/ConvolutionLayer.cpp b/tests/benchmark_new/NEON/ConvolutionLayer.cpp index 6dd4df89a4..7406180e95 100644 --- a/tests/benchmark_new/NEON/ConvolutionLayer.cpp +++ b/tests/benchmark_new/NEON/ConvolutionLayer.cpp @@ -33,6 +33,7 @@ #include "tests/datasets_new/AlexNetConvolutionLayerDataset.h" #include "tests/datasets_new/GoogLeNetConvolutionLayerDataset.h" #include "tests/datasets_new/LeNet5ConvolutionLayerDataset.h" +#include "tests/datasets_new/SqueezeNetConvolutionLayerDataset.h" #include "tests/fixtures_new/ConvolutionLayerFixture.h" namespace arm_compute @@ -42,11 +43,13 @@ namespace test namespace { #ifdef ARM_COMPUTE_ENABLE_FP16 -const auto alexnet_data_types = framework::dataset::make("DataType", { DataType::QS8, DataType::F16, DataType::F32 }); -const auto lenet_data_types = framework::dataset::make("DataType", { DataType::F16, DataType::F32 }); +const auto alexnet_data_types = framework::dataset::make("DataType", { DataType::QS8, DataType::F16, DataType::F32 }); +const auto lenet_data_types = framework::dataset::make("DataType", { DataType::F16, DataType::F32 }); +const auto squeezenet_data_types = framework::dataset::make("DataType", { DataType::F16, DataType::F32 }); #else /* ARM_COMPUTE_ENABLE_FP16 */ -const auto alexnet_data_types = framework::dataset::make("DataType", { DataType::QS8, DataType::F32 }); -const auto lenet_data_types = framework::dataset::make("DataType", { DataType::F32 }); +const auto alexnet_data_types = framework::dataset::make("DataType", { DataType::QS8, DataType::F32 }); +const auto lenet_data_types = framework::dataset::make("DataType", { DataType::F32 }); +const auto squeezenet_data_types = framework::dataset::make("DataType", { DataType::F32 }); #endif /* ARM_COMPUTE_ENABLE_FP16 */ } // namespace @@ -66,6 +69,10 @@ REGISTER_FIXTURE_DATA_TEST_CASE(GoogLeNetConvolutionLayer, NEConvolutionLayerFix framework::dataset::combine(framework::dataset::combine(datasets::GoogLeNetConvolutionLayerDataset(), lenet_data_types), framework::dataset::make("Batches", { 1, 4, 8 }))); +REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::ALL, + framework::dataset::combine(framework::dataset::combine(datasets::SqueezeNetConvolutionLayerDataset(), squeezenet_data_types), + framework::dataset::make("Batches", { 1, 4, 8 }))); + TEST_SUITE_END() } // namespace test } // namespace arm_compute |