1 files changed, 0 insertions, 84 deletions
diff --git a/tests/validation/reference/YOLOLayer.cpp b/tests/validation/reference/YOLOLayer.cpp
deleted file mode 100644
index 92bbf5445f..0000000000
--- a/tests/validation/reference/YOLOLayer.cpp
+++ /dev/null
@@ -1,84 +0,0 @@
-/*
- * Copyright (c) 2018-2020 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 "YOLOLayer.h"
-
-#include "ActivationLayer.h"
-
-#include "arm_compute/core/Types.h"
-#include "tests/validation/Helpers.h"
-
-namespace arm_compute
-{
-namespace test
-{
-namespace validation
-{
-namespace reference
-{
-template <typename T, typename std::enable_if<is_floating_point<T>::value, int>::type>
-SimpleTensor<T> yolo_layer(const SimpleTensor<T> &src, const ActivationLayerInfo &info, int32_t num_classes)
-{
-    // Create reference
-    SimpleTensor<T> dst{ src.shape(), src.data_type() };
-
-    // Compute reference
-    const T a(info.a());
-    const T b(info.b());
-
-    const uint32_t num_elements = src.num_elements();
-#if defined(_OPENMP)
-    #pragma omp parallel for
-#endif /* _OPENMP */
-    for(uint32_t i = 0; i < num_elements; ++i)
-    {
-        const size_t z = index2coord(dst.shape(), i).z() % (num_classes + 5);
-
-        if(z != 2 && z != 3)
-        {
-            dst[i] = activate_float<T>(src[i], a, b, info.activation());
-        }
-        else
-        {
-            dst[i] = src[i];
-        }
-    }
-
-    return dst;
-}
-
-template <>
-SimpleTensor<uint8_t> yolo_layer<uint8_t>(const SimpleTensor<uint8_t> &src, const ActivationLayerInfo &info, int32_t num_classes)
-{
-    SimpleTensor<float>   src_tmp = convert_from_asymmetric(src);
-    SimpleTensor<float>   dst_tmp = yolo_layer<float>(src_tmp, info, num_classes);
-    SimpleTensor<uint8_t> dst     = convert_to_asymmetric<uint8_t>(dst_tmp, src.quantization_info());
-    return dst;
-}
-
-template SimpleTensor<float> yolo_layer(const SimpleTensor<float> &src, const ActivationLayerInfo &info, int32_t num_classes);
-template SimpleTensor<half> yolo_layer(const SimpleTensor<half> &src, const ActivationLayerInfo &info, int32_t num_classes);
-} // namespace reference
-} // namespace validation
-} // namespace test
-} // namespace arm_compute