1 files changed, 0 insertions, 103 deletions
diff --git a/tests/validation/CPP/Accumulate.cpp b/tests/validation/CPP/Accumulate.cpp
deleted file mode 100644
index 29a2007bbd..0000000000
--- a/tests/validation/CPP/Accumulate.cpp
+++ /dev/null
@@ -1,103 +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 "Accumulate.h"
-
-#include "arm_compute/core/Types.h"
-#include "tests/validation/FixedPoint.h"
-#include "tests/validation/Helpers.h"
-
-namespace arm_compute
-{
-namespace test
-{
-namespace validation
-{
-namespace reference
-{
-template <typename T1, typename T2>
-SimpleTensor<T2> accumulate(const SimpleTensor<T1> &src, DataType output_data_type)
-{
-    SimpleTensor<T2> dst{ src.shape(), output_data_type };
-
-    library->fill_tensor_uniform(dst, 1, static_cast<T2>(0), static_cast<T2>(std::numeric_limits<T1>::max()));
-
-    using intermediate_type = typename common_promoted_signed_type<T1, T2>::intermediate_type;
-
-    for(int i = 0; i < src.num_elements(); ++i)
-    {
-        intermediate_type val = static_cast<intermediate_type>(src[i]) + static_cast<intermediate_type>(dst[i]);
-        dst[i]                = saturate_cast<T2>(val);
-    }
-
-    return dst;
-}
-
-template <typename T1, typename T2>
-SimpleTensor<T2> accumulate_weighted(const SimpleTensor<T1> &src, float alpha, DataType output_data_type)
-{
-    ARM_COMPUTE_ERROR_ON_MSG(alpha < 0.f || alpha > 1.f, "Weight (alpha) specified in accumulate_weighted must be within the range [0, 1]");
-
-    SimpleTensor<T2> dst{ src.shape(), output_data_type };
-
-    library->fill_tensor_uniform(dst, 1, static_cast<T2>(0), static_cast<T2>(std::numeric_limits<T1>::max()));
-
-    using intermediate_type = typename common_promoted_signed_type<T1, T2>::intermediate_type;
-
-    for(int i = 0; i < src.num_elements(); ++i)
-    {
-        double val = (1. - static_cast<double>(alpha)) * static_cast<intermediate_type>(dst[i]) + static_cast<double>(alpha) * static_cast<intermediate_type>(src[i]);
-        dst[i]     = static_cast<T2>(val);
-    }
-
-    return dst;
-}
-
-template <typename T1, typename T2>
-SimpleTensor<T2> accumulate_squared(const SimpleTensor<T1> &src, uint32_t shift, DataType output_data_type)
-{
-    ARM_COMPUTE_ERROR_ON_MSG(shift > 15, "Shift in accumulate_squared must be within the range [0, 15]");
-
-    SimpleTensor<T2> dst{ src.shape(), output_data_type };
-
-    library->fill_tensor_uniform(dst, 1, static_cast<T2>(0), static_cast<T2>(std::numeric_limits<T1>::max()));
-
-    using intermediate_type = typename common_promoted_signed_type<T1, T2>::intermediate_type;
-    intermediate_type denom = 1 << shift;
-
-    for(int i = 0; i < src.num_elements(); ++i)
-    {
-        intermediate_type val = static_cast<intermediate_type>(dst[i]) + (static_cast<intermediate_type>(src[i]) * static_cast<intermediate_type>(src[i]) / denom);
-        dst[i]                = saturate_cast<T2>(val);
-    }
-
-    return dst;
-}
-
-template SimpleTensor<int16_t> accumulate(const SimpleTensor<uint8_t> &src, DataType output_data_type);
-template SimpleTensor<uint8_t> accumulate_weighted(const SimpleTensor<uint8_t> &src, float alpha, DataType output_data_type);
-template SimpleTensor<int16_t> accumulate_squared(const SimpleTensor<uint8_t> &src, uint32_t shift, DataType output_data_type);
-} // namespace reference
-} // namespace validation
-} // namespace test
-} // namespace arm_compute