1 files changed, 0 insertions, 88 deletions
diff --git a/tests/validation_new/CPP/L2Normalize.cpp b/tests/validation_new/CPP/L2Normalize.cpp
deleted file mode 100644
index f423702819..0000000000
--- a/tests/validation_new/CPP/L2Normalize.cpp
+++ /dev/null
@@ -1,88 +0,0 @@
-/*
- * Copyright (c) 2017 ARM Limited.
- *
- * SPDX-License-Identifier: MIT
- *
- * Permission is hereby granted, free of charge, to any person obtaining a copy
- * of this software and associated documentation files (the "Software"), to
- * deal in the Software without restriction, including without limitation the
- * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
- * sell copies of the Software, and to permit persons to whom the Software is
- * furnished to do so, subject to the following conditions:
- *
- * The above copyright notice and this permission notice shall be included in all
- * copies or substantial portions of the Software.
- *
- * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
- * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
- * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
- * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
- * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
- * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
- * SOFTWARE.
- */
-#include "L2Normalize.h"
-#include "ReductionOperation.h"
-
-#include "tests/validation_new/Helpers.h"
-
-#include <algorithm>
-#include <cmath>
-
-namespace arm_compute
-{
-namespace test
-{
-namespace validation
-{
-namespace reference
-{
-namespace
-{
-TensorShape get_output_shape(TensorShape shape, unsigned int axis)
-{
-    TensorShape output_shape(shape);
-    output_shape.set(axis, 1);
-    return output_shape;
-}
-} // namespace
-
-template <typename T>
-SimpleTensor<T> l2_normalize(const SimpleTensor<T> &src, unsigned int axis, float epsilon)
-{
-    // Create reference
-    SimpleTensor<T> dst{ src.shape(), src.data_type() };
-
-    // Reduce across given axis
-    SimpleTensor<T> sum = reduction_operation(src, get_output_shape(src.shape(), axis), axis, ReductionOperation::SUM_SQUARE);
-
-    // Compute reference
-    const int elems      = src.shape()[axis];
-    const int upper_dims = src.shape().total_size_upper(axis + 1);
-
-    for(int du = 0; du < upper_dims; ++du)
-    {
-        if(axis == 0)
-        {
-            const T *src_row_ptr         = src.data() + du * elems;
-            T       *dst_row_ptr         = dst.data() + du * elems;
-            const T  normalization_value = std::sqrt(std::max(sum[du], epsilon));
-            std::transform(src_row_ptr, src_row_ptr + elems, dst_row_ptr, [normalization_value](T val)
-            {
-                return val / normalization_value;
-            });
-        }
-        else
-        {
-            ARM_COMPUTE_ERROR("Unsupported normalization axis");
-        }
-    }
-
-    return dst;
-}
-
-template SimpleTensor<float> l2_normalize(const SimpleTensor<float> &src, unsigned int axis, float epsilon);
-} // namespace reference
-} // namespace validation
-} // namespace test
-} // namespace arm_compute