From 7905f91d0765ea59cf0aadc2a338135f4965586f Mon Sep 17 00:00:00 2001
From: Abe Mbise <abe.mbise@arm.com>
Date: Thu, 7 Sep 2017 18:21:28 +0100
Subject: COMPMID-499: Port Gaussian 3x3 and 5x5 to new validation

Change-Id: Icb82186cb97bd8d6e2c4c63f050ee44e5d753ff7
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/86926
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
Reviewed-by: Moritz Pflanzer <moritz.pflanzer@arm.com>
---
 tests/validation_old/TensorOperations.h | 32 --------------------------------
 1 file changed, 32 deletions(-)

(limited to 'tests/validation_old/TensorOperations.h')

diff --git a/tests/validation_old/TensorOperations.h b/tests/validation_old/TensorOperations.h
index af17ea8dfd..bba09175ca 100644
--- a/tests/validation_old/TensorOperations.h
+++ b/tests/validation_old/TensorOperations.h
@@ -511,38 +511,6 @@ void accumulate_weighted(const Tensor<T> &in, Tensor<T> &out, float alpha)
     }
 }
 
-// Gaussian3x3 filter
-template <typename T, typename = typename std::enable_if<std::is_integral<T>::value>::type>
-void gaussian3x3(const Tensor<T> &in, Tensor<T> &out, BorderMode border_mode, T constant_border_value)
-{
-    const std::array<T, 9> filter{ { 1, 2, 1, 2, 4, 2, 1, 2, 1 } };
-    const float scale = 1.f / 16.f;
-    for(int element_idx = 0; element_idx < in.num_elements(); ++element_idx)
-    {
-        const Coordinates id = index2coord(in.shape(), element_idx);
-        apply_2d_spatial_filter(id, in, out, TensorShape(3U, 3U), filter.data(), scale, border_mode, constant_border_value);
-    }
-}
-
-// Gaussian5x5 filter
-template <typename T, typename = typename std::enable_if<std::is_integral<T>::value>::type>
-void gaussian5x5(const Tensor<T> &in, Tensor<T> &out, BorderMode border_mode, T constant_border_value)
-{
-    const std::array<T, 25> filter{ {
-            1, 4, 6, 4, 1,
-            4, 16, 24, 16, 4,
-            6, 24, 36, 24, 6,
-            4, 16, 24, 16, 4,
-            1, 4, 6, 4, 1
-        } };
-    const float scale = 1.f / 256.f;
-    for(int element_idx = 0; element_idx < in.num_elements(); ++element_idx)
-    {
-        const Coordinates id = index2coord(in.shape(), element_idx);
-        apply_2d_spatial_filter(id, in, out, TensorShape(5U, 5U), filter.data(), scale, border_mode, constant_border_value);
-    }
-}
-
 // Non linear filter
 template <typename T>
 void non_linear_filter(const Tensor<T> &in, Tensor<T> &out, NonLinearFilterFunction function, unsigned int mask_size,
-- 
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