aboutsummaryrefslogtreecommitdiff
path: root/tests/benchmark/fixtures/HarrisCornersFixture.h
diff options
context:
space:
mode:
authorGeorgios Pinitas <georgios.pinitas@arm.com>2018-08-30 16:02:11 +0100
committerAnthony Barbier <anthony.barbier@arm.com>2018-11-02 16:54:54 +0000
commit09d3451b4caf8d5e0e7cf2c6097e50a1f815d027 (patch)
tree8e9b8e9882d0120c85ff08473dbf3721b7602677 /tests/benchmark/fixtures/HarrisCornersFixture.h
parentb57be0da77370e5e71fe82dfa281f528279e8127 (diff)
downloadComputeLibrary-09d3451b4caf8d5e0e7cf2c6097e50a1f815d027.tar.gz
COMPMID-1548: NEON FP16 mismatches on CannyEdge and HarrisCorners.
Removes FP16 from HarrisCorners and CannyEdge. Change-Id: I5e4f9205fdbe4de85f04f55ecf1568c837e56cc0 Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/146247 Tested-by: Jenkins <bsgcomp@arm.com> Reviewed-by: Michele DiGiorgio <michele.digiorgio@arm.com>
Diffstat (limited to 'tests/benchmark/fixtures/HarrisCornersFixture.h')
-rw-r--r--tests/benchmark/fixtures/HarrisCornersFixture.h5
1 files changed, 2 insertions, 3 deletions
diff --git a/tests/benchmark/fixtures/HarrisCornersFixture.h b/tests/benchmark/fixtures/HarrisCornersFixture.h
index c7ce683ab5..29d1741156 100644
--- a/tests/benchmark/fixtures/HarrisCornersFixture.h
+++ b/tests/benchmark/fixtures/HarrisCornersFixture.h
@@ -42,8 +42,7 @@ class HarrisCornersFixture : public framework::Fixture
public:
template <typename...>
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)
+ int32_t gradient_size, int32_t block_size, BorderMode border_mode)
{
// Load the image (cached by the library if loaded before)
const RawTensor &raw = library->get(image, format);
@@ -52,7 +51,7 @@ public:
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);
+ harris_corners_func.configure(&src, threshold, min_dist, sensitivity, gradient_size, block_size, &out, border_mode, 0);
// Allocate tensor
src.allocator()->allocate();