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authorsteniu01 <steven.niu@arm.com>2017-07-28 14:40:58 +0100
committerAnthony Barbier <anthony.barbier@arm.com>2018-09-17 14:16:42 +0100
commita629da13544c361ba9580a233109b2418fd6bb73 (patch)
tree7097c661b2455cd9ad008c314eab1bfea7fdf1f4 /tests/fixtures_new
parentc51b72fe34e6018a1807a2c78228da7beeee1750 (diff)
downloadComputeLibrary-a629da13544c361ba9580a233109b2418fd6bb73.tar.gz
COMPMID-458 add direct convolution to benchmark
Change-Id: I475cb1e3c69831aa5574305e9188251846cee6ba Reviewed-on: http://mpd-gerrit.cambridge.arm.com/82008 Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com> Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Diffstat (limited to 'tests/fixtures_new')
-rw-r--r--tests/fixtures_new/AlexNetFixture.h6
1 files changed, 4 insertions, 2 deletions
diff --git a/tests/fixtures_new/AlexNetFixture.h b/tests/fixtures_new/AlexNetFixture.h
index 75384e53f0..0fbc1b77e3 100644
--- a/tests/fixtures_new/AlexNetFixture.h
+++ b/tests/fixtures_new/AlexNetFixture.h
@@ -39,6 +39,7 @@ template <typename ITensorType,
typename Accessor,
typename ActivationLayerFunction,
typename ConvolutionLayerFunction,
+ typename DirectConvolutionLayerFunction,
typename FullyConnectedLayerFunction,
typename NormalizationLayerFunction,
typename PoolingLayerFunction,
@@ -50,10 +51,10 @@ public:
template <typename...>
void setup(DataType data_type, int batches)
{
- constexpr bool weights_transposed = true;
+ constexpr bool weights_reshaped = true;
constexpr int fixed_point_position = 4;
- network.init(data_type, fixed_point_position, batches, weights_transposed);
+ network.init(data_type, fixed_point_position, batches, weights_reshaped);
network.build();
network.allocate();
network.fill_random();
@@ -76,6 +77,7 @@ private:
Accessor,
ActivationLayerFunction,
ConvolutionLayerFunction,
+ DirectConvolutionLayerFunction,
FullyConnectedLayerFunction,
NormalizationLayerFunction,
PoolingLayerFunction,