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author | Georgios Pinitas <georgios.pinitas@arm.com> | 2018-08-30 16:02:11 +0100 |
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committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:54:54 +0000 |
commit | 09d3451b4caf8d5e0e7cf2c6097e50a1f815d027 (patch) | |
tree | 8e9b8e9882d0120c85ff08473dbf3721b7602677 /tests/benchmark/fixtures/HarrisCornersFixture.h | |
parent | b57be0da77370e5e71fe82dfa281f528279e8127 (diff) | |
download | ComputeLibrary-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.h | 5 |
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(); |