commit 351c20a361521101307d365a4f91ad883fa272ea
author Moritz Pflanzer <moritz.pflanzer@arm.com> Mon Sep 11 14:28:56 2017 +0100
committer Anthony Barbier <anthony.barbier@arm.com> Fri Nov 02 16:35:24 2018 +0000
tree 40e70d1ad92c6c2d0f8128f87e422713f7775330
parent cde1e8adeacea5c33a1682ef7b05a0ef643463b8

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>

tests/benchmark/CL/ConvolutionLayer.cpp

diff --git a/tests/benchmark/CL/ConvolutionLayer.cpp b/tests/benchmark/CL/ConvolutionLayer.cpp
index 122e19b..620feaf 100644
--- a/tests/benchmark/CL/ConvolutionLayer.cpp
+++ b/tests/benchmark/CL/ConvolutionLayer.cpp
@@ -103,10 +103,11 @@
                                                                                         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(),