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authorIsabella Gottardi <isabella.gottardi@arm.com>2017-07-04 11:21:28 +0100
committerAnthony Barbier <anthony.barbier@arm.com>2018-09-17 14:17:31 +0100
commit6203153b25fda2c4b8d94fe71337d1145a36c132 (patch)
treeaee1e7db73d09eabf01ed8fb7680f98f97e07c93 /tests/validation/Helpers.h
parentd6253602ec7ebcbe6adb0acc51a97a5d8c167495 (diff)
downloadComputeLibrary-6203153b25fda2c4b8d94fe71337d1145a36c132.tar.gz
COMPMID-424 Implemented reference implementation and validation tests (NEON and CL) for Warp Perspective
Changed the behaviour in NEWarpKernel for border mode replicate and constant to stick with the VX specs. When the new coords are out of the valid region, the output will be computed using the values from the border. In the validation tests the validate will be called with tolerance_value 1 and tolerance_number 0.2%, due to some float arithmetic related mismatches. Change-Id: Id4f9d0ef87178f8f8fd38ee17fee0e6f4beb85cd Reviewed-on: http://mpd-gerrit.cambridge.arm.com/80283 Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com> Reviewed-by: Moritz Pflanzer <moritz.pflanzer@arm.com> Reviewed-by: Steven Niu <steven.niu@arm.com>
Diffstat (limited to 'tests/validation/Helpers.h')
-rw-r--r--tests/validation/Helpers.h25
1 files changed, 25 insertions, 0 deletions
diff --git a/tests/validation/Helpers.h b/tests/validation/Helpers.h
index 8d70de6958..09ffda8957 100644
--- a/tests/validation/Helpers.h
+++ b/tests/validation/Helpers.h
@@ -225,6 +225,31 @@ inline TensorShape calculate_depth_concatenate_shape(std::vector<TensorShape> in
return out_shape;
}
+/** Fill matrix random.
+ *
+ * @param[in,out] matrix Matrix
+ * @param[in] cols Columns (width) of matrix
+ * @param[in] rows Rows (height) of matrix
+ */
+template <std::size_t SIZE>
+inline void fill_warp_matrix(std::array<float, SIZE> &matrix, int cols, int rows)
+{
+ std::mt19937 gen(user_config.seed.get());
+ std::uniform_real_distribution<float> dist(-1, 1);
+
+ for(int v = 0, r = 0; r < rows; ++r)
+ {
+ for(int c = 0; c < cols; ++c, ++v)
+ {
+ matrix[v] = dist(gen);
+ }
+ }
+ if(SIZE == 9)
+ {
+ matrix[(cols * rows) - 1] = 1;
+ }
+}
+
/** Create a vector of random ROIs.
*
* @param[in] shape The shape of the input tensor.