From 351c20a361521101307d365a4f91ad883fa272ea Mon Sep 17 00:00:00 2001 From: Moritz Pflanzer Date: Mon, 11 Sep 2017 14:28:56 +0100 Subject: 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 Tested-by: Kaizen --- tests/benchmark/CL/ConvolutionLayer.cpp | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) 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(), -- cgit v1.2.1