1 files changed, 0 insertions, 138 deletions
diff --git a/src/core/NEON/kernels/NEFillInnerBorderKernel.cpp b/src/core/NEON/kernels/NEFillInnerBorderKernel.cpp
deleted file mode 100644
index 50060b2376..0000000000
--- a/src/core/NEON/kernels/NEFillInnerBorderKernel.cpp
+++ /dev/null
@@ -1,138 +0,0 @@
-/*
- * Copyright (c) 2016-2019 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 "arm_compute/core/NEON/kernels/NEFillInnerBorderKernel.h"
-
-#include "arm_compute/core/Error.h"
-#include "arm_compute/core/Helpers.h"
-#include "arm_compute/core/ITensor.h"
-#include "arm_compute/core/TensorInfo.h"
-#include "arm_compute/core/Validate.h"
-#include "arm_compute/core/Window.h"
-
-#include <algorithm>
-#include <cstddef>
-#include <cstdint>
-
-using namespace arm_compute;
-
-namespace arm_compute
-{
-class Coordinates;
-} // namespace arm_compute
-
-NEFillInnerBorderKernel::NEFillInnerBorderKernel()
-    : _tensor(nullptr), _border_size(0), _constant_border_value(static_cast<float>(0.f))
-{
-}
-
-void NEFillInnerBorderKernel::configure(ITensor *input, BorderSize border_size, const PixelValue &constant_border_value)
-{
-    ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::U8, DataType::S16, DataType::S32, DataType::F32);
-
-    _tensor                = input;
-    _border_size           = border_size;
-    _constant_border_value = constant_border_value;
-
-    Window win;
-    win.set(Window::DimX, Window::Dimension(0, 1, 1));
-    win.set(Window::DimY, Window::Dimension(0, 1, 1));
-    win.use_tensor_dimensions(_tensor->info()->tensor_shape(), Window::DimZ);
-    INEKernel::configure(win);
-}
-
-void NEFillInnerBorderKernel::run(const Window &window, const ThreadInfo &info)
-{
-    ARM_COMPUTE_UNUSED(info);
-    ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
-    ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(INEKernel::window(), window);
-
-    // If there is no border: early exit
-    if(_border_size.empty())
-    {
-        return;
-    }
-
-    switch(_tensor->info()->data_type())
-    {
-        case DataType::U8:
-            fill_value_single_channel<uint8_t>(window);
-            break;
-        case DataType::S16:
-            fill_value_single_channel<int16_t>(window);
-            break;
-        case DataType::S32:
-            fill_value_single_channel<int32_t>(window);
-            break;
-        case DataType::F32:
-            static_assert(sizeof(float) == 4, "Float must be 32 bit");
-            fill_value_single_channel<float>(window);
-            break;
-        default:
-            ARM_COMPUTE_ERROR("Not handled");
-            break;
-    }
-}
-
-template <typename T>
-void NEFillInnerBorderKernel::fill_value_single_channel(const Window &window)
-{
-    const size_t stride = _tensor->info()->strides_in_bytes()[1];
-    const size_t width  = _tensor->info()->dimension(0);
-    const size_t height = _tensor->info()->dimension(1);
-
-    T constant_border_value;
-    _constant_border_value.get(constant_border_value);
-
-    // Left and right border
-    // All X values are set at once
-    Window vertical(window);
-    vertical.set(Window::DimY, Window::Dimension(0, height, 1));
-
-    Iterator vertical_it(_tensor, vertical);
-
-    execute_window_loop(vertical, [&](const Coordinates &)
-    {
-        std::fill_n(reinterpret_cast<T *>(vertical_it.ptr()), _border_size.left, constant_border_value);
-        std::fill_n(reinterpret_cast<T *>(vertical_it.ptr()) + width - _border_size.right, _border_size.right, constant_border_value);
-    },
-    vertical_it);
-
-    // Top and bottom border
-    // All values are set at once
-    Iterator horizontal_it(_tensor, window);
-
-    execute_window_loop(window, [&](const Coordinates &)
-    {
-        for(size_t i = 0; i < _border_size.top; ++i)
-        {
-            std::fill_n(reinterpret_cast<T *>(horizontal_it.ptr() + i * stride), width, constant_border_value);
-        }
-
-        for(size_t i = 0; i < _border_size.bottom; ++i)
-        {
-            std::fill_n(reinterpret_cast<T *>(horizontal_it.ptr() + (height - i - 1) * stride), width, constant_border_value);
-        }
-    },
-    horizontal_it);
-}