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| author | Moritz Pflanzer <moritz.pflanzer@arm.com> | 2017-09-11 14:28:56 +0100 |
|---|---|---|
| committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:35:24 +0000 |
| commit | 351c20a361521101307d365a4f91ad883fa272ea (patch) | |
| tree | 40e70d1ad92c6c2d0f8128f87e422713f7775330 | |
| parent | cde1e8adeacea5c33a1682ef7b05a0ef643463b8 (diff) | |
| download | ComputeLibrary-351c20a361521101307d365a4f91ad883fa272ea.tar.gz | |
COMPMID-417: Remove 8 batches for CL VGG convolution layer
Change-Id: Ib93d5515d64e26f0dc8acc65fbfdf80958b6ee2e
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/87253
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
| -rw-r--r-- | tests/benchmark/CL/ConvolutionLayer.cpp | 3 |
1 files changed, 2 insertions, 1 deletions
diff --git a/tests/benchmark/CL/ConvolutionLayer.cpp b/tests/benchmark/CL/ConvolutionLayer.cpp index 122e19bbe5..620feafa83 100644 --- a/tests/benchmark/CL/ConvolutionLayer.cpp +++ b/tests/benchmark/CL/ConvolutionLayer.cpp @@ -103,10 +103,11 @@ REGISTER_FIXTURE_DATA_TEST_CASE(SqueezeNetConvolutionLayer, CLConvolutionLayerFi data_types), framework::dataset::make("Batches", { 4, 8 }))); +// 8 batches use about 1.8GB of memory which is too much for most devices! REGISTER_FIXTURE_DATA_TEST_CASE(VGG16ConvolutionLayer, CLConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::VGG16ConvolutionLayerDataset(), data_types), - framework::dataset::make("Batches", { 1, 4, 8 }))); + framework::dataset::make("Batches", { 1, 4 }))); REGISTER_FIXTURE_DATA_TEST_CASE(YOLOV2ConvolutionLayer, CLConvolutionLayerFixture, framework::DatasetMode::NIGHTLY, framework::dataset::combine(framework::dataset::combine(datasets::YOLOV2ConvolutionLayerDataset(), |