1 files changed, 0 insertions, 127 deletions
diff --git a/src/runtime/NEON/functions/NEConvolution.cpp b/src/runtime/NEON/functions/NEConvolution.cpp
deleted file mode 100644
index 255cb3d704..0000000000
--- a/src/runtime/NEON/functions/NEConvolution.cpp
+++ /dev/null
@@ -1,127 +0,0 @@
-/*
- * Copyright (c) 2016-2020 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 "arm_compute/runtime/NEON/functions/NEConvolution.h"
-
-#include "arm_compute/core/Error.h"
-#include "arm_compute/core/ITensor.h"
-#include "arm_compute/core/NEON/kernels/NEConvolutionKernel.h"
-#include "arm_compute/core/PixelValue.h"
-#include "arm_compute/core/TensorInfo.h"
-#include "arm_compute/core/Utils.h"
-#include "arm_compute/core/Validate.h"
-#include "arm_compute/runtime/NEON/NEScheduler.h"
-#include "arm_compute/runtime/TensorAllocator.h"
-#include "support/MemorySupport.h"
-
-#include <array>
-#include <utility>
-
-using namespace arm_compute;
-
-void NEConvolution3x3::configure(ITensor *input, ITensor *output, const int16_t *conv, uint32_t scale, BorderMode border_mode, uint8_t constant_border_value)
-{
-    auto k = arm_compute::support::cpp14::make_unique<NEConvolution3x3Kernel>();
-    k->configure(input, output, conv, scale, border_mode == BorderMode::UNDEFINED);
-    _kernel = std::move(k);
-    _border_handler.configure(input, _kernel->border_size(), border_mode, PixelValue(constant_border_value));
-}
-
-template <unsigned int matrix_size>
-NEConvolutionSquare<matrix_size>::NEConvolutionSquare(std::shared_ptr<IMemoryManager> memory_manager)
-    : _memory_group(std::move(memory_manager)), _tmp(), _is_separable(false), _kernel_hor(), _kernel_vert(), _kernel(), _border_handler()
-{
-}
-
-template <unsigned int matrix_size>
-void NEConvolutionSquare<matrix_size>::configure(ITensor *input, ITensor *output, const int16_t *conv, uint32_t scale, BorderMode border_mode,
-                                                 uint8_t constant_border_value)
-{
-    ARM_COMPUTE_ERROR_ON(conv == nullptr);
-    ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::U8);
-    ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::U8, DataType::S16);
-
-    std::array<int16_t, matrix_size> conv_col{ { 0 } };
-    std::array<int16_t, matrix_size> conv_row{ { 0 } };
-
-    _is_separable = separate_matrix(conv, conv_col.data(), conv_row.data(), matrix_size);
-
-    if(_is_separable)
-    {
-        DataType intermediate_type = DataType::UNKNOWN;
-        std::tie(std::ignore, intermediate_type) = data_type_for_convolution(conv_col.data(), conv_row.data(), matrix_size);
-
-        _tmp.allocator()->init(TensorInfo(input->info()->tensor_shape(), 1, intermediate_type));
-
-        // Manage intermediate buffers
-        _memory_group.manage(&_tmp);
-
-        // Calculate scale
-        if(scale == 0)
-        {
-            scale = calculate_matrix_scale(conv, matrix_size);
-        }
-
-        _kernel_hor.configure(input, &_tmp, conv_row.data(), border_mode == BorderMode::UNDEFINED);
-        _kernel_vert.configure(&_tmp, output, conv_col.data(), scale, border_mode == BorderMode::UNDEFINED);
-
-        _tmp.allocator()->allocate();
-
-        _border_handler.configure(input, _kernel_hor.border_size(), border_mode, PixelValue(constant_border_value));
-    }
-    else
-    {
-        _kernel.configure(input, output, conv, scale, border_mode == BorderMode::UNDEFINED);
-        _border_handler.configure(input, _kernel.border_size(), border_mode, PixelValue(constant_border_value));
-    }
-}
-
-template <unsigned int matrix_size>
-void                   NEConvolutionSquare<matrix_size>::run()
-{
-    NEScheduler::get().schedule(&_border_handler, Window::DimZ);
-
-    if(_is_separable)
-    {
-        MemoryGroupResourceScope scope_mg(_memory_group);
-
-        NEScheduler::get().schedule(&_kernel_hor, Window::DimY);
-        NEScheduler::get().schedule(&_kernel_vert, Window::DimY);
-    }
-    else
-    {
-        NEScheduler::get().schedule(&_kernel, Window::DimY);
-    }
-}
-
-template class arm_compute::NEConvolutionSquare<5>;
-template class arm_compute::NEConvolutionSquare<7>;
-template class arm_compute::NEConvolutionSquare<9>;
-
-void NEConvolutionRectangle::configure(ITensor *input, ITensor *output, const int16_t *conv, uint32_t rows, uint32_t cols, uint32_t scale, BorderMode border_mode, uint8_t constant_border_value)
-{
-    auto k = arm_compute::support::cpp14::make_unique<NEConvolutionRectangleKernel>();
-    k->configure(input, output, conv, rows, cols, scale, border_mode == BorderMode::UNDEFINED);
-    _kernel = std::move(k);
-    _border_handler.configure(input, _kernel->border_size(), border_mode, PixelValue(constant_border_value));
-}