diff options
-rw-r--r-- | tests/benchmark_new/NEON/DirectConvolutionLayer.cpp | 5 | ||||
-rw-r--r-- | tests/datasets_new/DirectConvolutionLayerDataset.h | 12 |
2 files changed, 14 insertions, 3 deletions
diff --git a/tests/benchmark_new/NEON/DirectConvolutionLayer.cpp b/tests/benchmark_new/NEON/DirectConvolutionLayer.cpp index ee0989d5df..892976d316 100644 --- a/tests/benchmark_new/NEON/DirectConvolutionLayer.cpp +++ b/tests/benchmark_new/NEON/DirectConvolutionLayer.cpp @@ -31,6 +31,7 @@ #include "tests/NEON/Accessor.h" #include "tests/TypePrinter.h" #include "tests/datasets_new/AlexNetConvolutionLayerDataset.h" +#include "tests/datasets_new/DirectConvolutionLayerDataset.h" #include "tests/datasets_new/GoogLeNetConvolutionLayerDataset.h" #include "tests/datasets_new/SqueezeNetConvolutionLayerDataset.h" #include "tests/fixtures_new/ConvolutionLayerFixture.h" @@ -52,6 +53,10 @@ using NEConvolutionLayerFixture = ConvolutionLayerFixture<Tensor, NEDirectConvol TEST_SUITE(NEON) +REGISTER_FIXTURE_DATA_TEST_CASE(DirectConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::ALL, + framework::dataset::combine(framework::dataset::combine(datasets::DirectConvolutionLayerDataset(), data_types), + framework::dataset::make("Batches", { 1, 4, 8 }))); + REGISTER_FIXTURE_DATA_TEST_CASE(AlexNetDirectConvolutionLayer, NEConvolutionLayerFixture, framework::DatasetMode::ALL, framework::dataset::combine(framework::dataset::combine(datasets::AlexNetDirectConvolutionLayerDataset(), data_types), framework::dataset::make("Batches", { 1, 4, 8 }))); diff --git a/tests/datasets_new/DirectConvolutionLayerDataset.h b/tests/datasets_new/DirectConvolutionLayerDataset.h index ae1538dbef..1d7b06ce41 100644 --- a/tests/datasets_new/DirectConvolutionLayerDataset.h +++ b/tests/datasets_new/DirectConvolutionLayerDataset.h @@ -43,9 +43,15 @@ class DirectConvolutionLayerDataset final : public ConvolutionLayerDataset public: DirectConvolutionLayerDataset() { - add_config(TensorShape(13U, 13U, 256U), TensorShape(3U, 3U, 256U, 384U), TensorShape(384U), TensorShape(13U, 13U, 384U), PadStrideInfo(1, 1, 1, 1)); - add_config(TensorShape(13U, 13U, 384U), TensorShape(3U, 3U, 384U, 384U), TensorShape(384U), TensorShape(13U, 13U, 384U), PadStrideInfo(1, 1, 1, 1)); - add_config(TensorShape(13U, 13U, 384U), TensorShape(3U, 3U, 384U, 256U), TensorShape(256U), TensorShape(13U, 13U, 256U), PadStrideInfo(1, 1, 1, 1)); + add_config(TensorShape(13U, 13U, 256U), TensorShape(3U, 3U, 256U, 3U), TensorShape(3U), TensorShape(13U, 13U, 3U), PadStrideInfo(1, 1, 1, 1)); + add_config(TensorShape(13U, 13U, 384U), TensorShape(3U, 3U, 384U, 4U), TensorShape(4U), TensorShape(13U, 13U, 4U), PadStrideInfo(1, 1, 1, 1)); + add_config(TensorShape(13U, 13U, 384U), TensorShape(3U, 3U, 384U, 5U), TensorShape(5U), TensorShape(13U, 13U, 5U), PadStrideInfo(1, 1, 1, 1)); + add_config(TensorShape(13U, 13U, 256U), TensorShape(3U, 3U, 256U, 3U), TensorShape(3U), TensorShape(13U, 13U, 3U), PadStrideInfo(2, 2, 1, 1)); + add_config(TensorShape(13U, 13U, 384U), TensorShape(3U, 3U, 384U, 4U), TensorShape(4U), TensorShape(13U, 13U, 4U), PadStrideInfo(2, 2, 1, 1)); + add_config(TensorShape(13U, 13U, 384U), TensorShape(3U, 3U, 384U, 5U), TensorShape(5U), TensorShape(13U, 13U, 5U), PadStrideInfo(2, 2, 1, 1)); + add_config(TensorShape(13U, 13U, 256U), TensorShape(3U, 3U, 256U, 3U), TensorShape(3U), TensorShape(13U, 13U, 3U), PadStrideInfo(3, 3, 1, 1)); + add_config(TensorShape(13U, 13U, 384U), TensorShape(3U, 3U, 384U, 4U), TensorShape(4U), TensorShape(13U, 13U, 4U), PadStrideInfo(3, 3, 1, 1)); + add_config(TensorShape(13U, 13U, 384U), TensorShape(3U, 3U, 384U, 5U), TensorShape(5U), TensorShape(13U, 13U, 5U), PadStrideInfo(3, 3, 1, 1)); } }; } // namespace datasets |