Revert "COMPMID-1766: Implemented CPP Non Max Suppression"

This reverts commit a0a0e29f635de08092c2325f8f049ffb286aabaf.

Change-Id: I2a2a37ba7531f93a1562748054a3c29573c9753f
Reviewed-on: https://review.mlplatform.org/705
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: VidhyaSudhan Loganathan <vidhyasudhan.loganathan@arm.com>

1 files changed, 0 insertions, 37 deletions

diff --git a/tests/AssetsLibrary.h b/tests/AssetsLibrary.h
index 366c1450ba..d09e22762d 100644
--- a/tests/AssetsLibrary.h
+++ b/tests/AssetsLibrary.h
@@ -207,9 +207,6 @@ public:
     template <typename T, typename D>
     void fill(T &&tensor, D &&distribution, std::random_device::result_type seed_offset) const;
 
-    template <typename T, typename D>
-    void fill_boxes(T &&tensor, D &&distribution, std::random_device::result_type seed_offset) const;
-
     /** Fills the specified @p raw tensor with random values drawn from @p
      * distribution.
      *
@@ -485,40 +482,6 @@ void AssetsLibrary::fill_borders_with_garbage(T &&tensor, D &&distribution, std:
 }
 
 template <typename T, typename D>
-void AssetsLibrary::fill_boxes(T &&tensor, D &&distribution, std::random_device::result_type seed_offset) const
-{
-    using ResultType = typename std::remove_reference<D>::type::result_type;
-    std::mt19937 gen(_seed + seed_offset);
-    TensorShape  shape(tensor.shape());
-    const int    num_boxes = tensor.num_elements() / 4;
-    // Iterate over all elements
-    std::uniform_real_distribution<> size_dist(0.f, 1.f);
-    for(int element_idx = 0; element_idx < num_boxes * 4; element_idx += 4)
-    {
-        const ResultType delta   = size_dist(gen);
-        const ResultType epsilon = size_dist(gen);
-        const ResultType left    = distribution(gen);
-        const ResultType top     = distribution(gen);
-        const ResultType right   = left + delta;
-        const ResultType bottom  = top + epsilon;
-        const std::tuple<ResultType, ResultType, ResultType, ResultType> box(left, top, right, bottom);
-        Coordinates x1              = index2coord(shape, element_idx);
-        Coordinates y1              = index2coord(shape, element_idx + 1);
-        Coordinates x2              = index2coord(shape, element_idx + 2);
-        Coordinates y2              = index2coord(shape, element_idx + 3);
-        ResultType &target_value_x1 = reinterpret_cast<ResultType *>(tensor(x1))[0];
-        ResultType &target_value_y1 = reinterpret_cast<ResultType *>(tensor(y1))[0];
-        ResultType &target_value_x2 = reinterpret_cast<ResultType *>(tensor(x2))[0];
-        ResultType &target_value_y2 = reinterpret_cast<ResultType *>(tensor(y2))[0];
-        store_value_with_data_type(&target_value_x1, std::get<0>(box), tensor.data_type());
-        store_value_with_data_type(&target_value_y1, std::get<1>(box), tensor.data_type());
-        store_value_with_data_type(&target_value_x2, std::get<2>(box), tensor.data_type());
-        store_value_with_data_type(&target_value_y2, std::get<3>(box), tensor.data_type());
-    }
-    fill_borders_with_garbage(tensor, distribution, seed_offset);
-}
-
-template <typename T, typename D>
 void AssetsLibrary::fill(T &&tensor, D &&distribution, std::random_device::result_type seed_offset) const
 {
     using ResultType = typename std::remove_reference<D>::type::result_type;