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authorAlex Gilday <alexander.gilday@arm.com>2018-01-09 11:40:19 +0000
committerAnthony Barbier <anthony.barbier@arm.com>2018-11-02 16:42:33 +0000
commit345ab188c66017bf80512024a42b8e85ee96c872 (patch)
tree995d7147444483e8d7c342a9c90e615ca9445bc7 /tests/benchmark/fixtures
parent780db4eb6a9e3dee565d14f36d772038cd3253da (diff)
downloadComputeLibrary-345ab188c66017bf80512024a42b8e85ee96c872.tar.gz
COMPMID-742: Add image input support for Harris Corners tests
Change-Id: I4833eec0734776d8683fe867bb4f4d827f1a2fb7 Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/115503 Tested-by: Jenkins <bsgcomp@arm.com> Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Diffstat (limited to 'tests/benchmark/fixtures')
-rw-r--r--tests/benchmark/fixtures/HarrisCornersFixture.h12
1 files changed, 7 insertions, 5 deletions
diff --git a/tests/benchmark/fixtures/HarrisCornersFixture.h b/tests/benchmark/fixtures/HarrisCornersFixture.h
index 1596ede962..c7ce683ab5 100644
--- a/tests/benchmark/fixtures/HarrisCornersFixture.h
+++ b/tests/benchmark/fixtures/HarrisCornersFixture.h
@@ -41,12 +41,15 @@ class HarrisCornersFixture : public framework::Fixture
{
public:
template <typename...>
- void setup(const TensorShape &shape, Format format, float threshold, float min_dist, float sensitivity,
+ void setup(std::string image, Format format, float threshold, float min_dist, float sensitivity,
int32_t gradient_size, int32_t block_size,
BorderMode border_mode, bool use_fp16)
{
+ // Load the image (cached by the library if loaded before)
+ const RawTensor &raw = library->get(image, format);
+
// Create tensor
- src = create_tensor<TensorType>(shape, format);
+ src = create_tensor<TensorType>(raw.shape(), format);
// Create and configure function
harris_corners_func.configure(&src, threshold, min_dist, sensitivity, gradient_size, block_size, &out, border_mode, 0, use_fp16);
@@ -54,9 +57,8 @@ public:
// Allocate tensor
src.allocator()->allocate();
- // Fill tensor
- std::uniform_int_distribution<int32_t> distribution(100, 100);
- library->fill(Accessor(src), distribution, 0);
+ // Copy image data to tensor
+ library->fill(Accessor(src), raw);
}
void run()