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authorGiorgio Arena <giorgio.arena@arm.com>2018-05-01 11:47:24 +0100
committerAnthony Barbier <anthony.barbier@arm.com>2018-11-02 16:50:48 +0000
commit3c520c5a6ca9352560828fdf389d31e38b85afeb (patch)
tree9a7cbbb2fdf0f9f6c8e42cfd36d2ea8b842fe3d4 /tests/benchmark/fixtures
parent6c4212789a530c3655258779219c4ed7f0397b86 (diff)
downloadComputeLibrary-3c520c5a6ca9352560828fdf389d31e38b85afeb.tar.gz
COMPMID-1089 CLPoolingLayer fix padding and add output shape computation to ShapeCalculator
Change-Id: Ide83424e9fe6b8102ed9e3c355c099c3912e7e61 Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/129635 Tested-by: Jenkins <bsgcomp@arm.com> Reviewed-by: Michele DiGiorgio <michele.digiorgio@arm.com> Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com> Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Diffstat (limited to 'tests/benchmark/fixtures')
-rw-r--r--tests/benchmark/fixtures/PoolingLayerFixture.h11
1 files changed, 10 insertions, 1 deletions
diff --git a/tests/benchmark/fixtures/PoolingLayerFixture.h b/tests/benchmark/fixtures/PoolingLayerFixture.h
index bd7c155348..a8263fbcdc 100644
--- a/tests/benchmark/fixtures/PoolingLayerFixture.h
+++ b/tests/benchmark/fixtures/PoolingLayerFixture.h
@@ -26,6 +26,7 @@
#include "arm_compute/core/TensorShape.h"
#include "arm_compute/core/Types.h"
+#include "arm_compute/core/utils/misc/ShapeCalculator.h"
#include "tests/Globals.h"
#include "tests/Utils.h"
#include "tests/framework/Fixture.h"
@@ -36,16 +37,24 @@ namespace test
{
namespace benchmark
{
+using namespace arm_compute::misc::shape_calculator;
+
/** Fixture that can be used for NEON and CL */
template <typename TensorType, typename Function, typename Accessor>
class PoolingLayerFixture : public framework::Fixture
{
public:
template <typename...>
- void setup(TensorShape src_shape, TensorShape dst_shape, PoolingLayerInfo info, DataType data_type, DataLayout data_layout, int batches)
+ void setup(TensorShape src_shape, PoolingLayerInfo info, DataType data_type, DataLayout data_layout, int batches)
{
// Set batched in source and destination shapes
const unsigned int fixed_point_position = 4;
+
+ TensorInfo src_info(src_shape, 1, data_type, fixed_point_position);
+ src_info.set_data_layout(data_layout);
+
+ TensorShape dst_shape = compute_pool_shape(src_info, info);
+
src_shape.set(src_shape.num_dimensions(), batches);
dst_shape.set(dst_shape.num_dimensions(), batches);