1 files changed, 0 insertions, 126 deletions
diff --git a/src/core/NEON/kernels/NEConvertFullyConnectedWeightsKernel.cpp b/src/core/NEON/kernels/NEConvertFullyConnectedWeightsKernel.cpp
deleted file mode 100644
index 597c283a9c..0000000000
--- a/src/core/NEON/kernels/NEConvertFullyConnectedWeightsKernel.cpp
+++ /dev/null
@@ -1,126 +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 "src/core/NEON/kernels/NEConvertFullyConnectedWeightsKernel.h"
-
-#include "arm_compute/core/Helpers.h"
-#include "arm_compute/core/Types.h"
-#include "src/core/helpers/AutoConfiguration.h"
-#include "src/core/helpers/WindowHelpers.h"
-
-namespace arm_compute
-{
-NEConvertFullyConnectedWeightsKernel::NEConvertFullyConnectedWeightsKernel()
-    : _input(nullptr), _output(nullptr), _factor1(0), _factor2(0)
-{
-}
-
-void NEConvertFullyConnectedWeightsKernel::configure(const ITensor *input, ITensor *output, const TensorShape &original_input_shape,
-                                                     DataLayout data_layout)
-{
-    ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
-
-    // Output tensor auto initialisation if not yet initialized
-    auto_init_if_empty(*output->info(), *input->info()->clone());
-
-    ARM_COMPUTE_ERROR_THROW_ON(NEConvertFullyConnectedWeightsKernel::validate(input->info(), output->info(), original_input_shape, data_layout));
-
-    _input  = input;
-    _output = output;
-
-    const DataLayout input_data_layout = (data_layout == DataLayout::NCHW) ? DataLayout::NHWC : DataLayout::NCHW;
-
-    const int width_idx   = get_data_layout_dimension_index(input_data_layout, DataLayoutDimension::WIDTH);
-    const int height_idx  = get_data_layout_dimension_index(input_data_layout, DataLayoutDimension::HEIGHT);
-    const int channel_idx = get_data_layout_dimension_index(input_data_layout, DataLayoutDimension::CHANNEL);
-
-    const unsigned int num_elems_per_input_plane = original_input_shape[width_idx] * original_input_shape[height_idx];
-    const unsigned int num_channels              = original_input_shape[channel_idx];
-
-    _factor1 = (data_layout == DataLayout::NCHW) ? num_elems_per_input_plane : num_channels;
-    _factor2 = (data_layout == DataLayout::NCHW) ? num_channels : num_elems_per_input_plane;
-
-    // Configure kernel window
-    Window win = calculate_max_window(*input->info(), Steps());
-    INEKernel::configure(win);
-}
-
-Status NEConvertFullyConnectedWeightsKernel::validate(const ITensorInfo *input, const ITensorInfo *output, const TensorShape &original_input_shape,
-                                                      DataLayout data_layout)
-{
-    ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input);
-    //Note: ARM_COMPUTE_RETURN_ERROR_ON_CPU_F16_UNSUPPORTED(input) is not needed here as this kernel doesn't use NEON FP16 instructions.
-    ARM_COMPUTE_RETURN_ERROR_ON(input->data_type() == DataType::UNKNOWN);
-    ARM_COMPUTE_RETURN_ERROR_ON(input->num_dimensions() != 2);
-    ARM_COMPUTE_RETURN_ERROR_ON(input->dimension(1) != original_input_shape.total_size_lower(3));
-    ARM_COMPUTE_RETURN_ERROR_ON(data_layout == DataLayout::UNKNOWN);
-
-    // Checks performed when output is configured
-    if((output != nullptr) && (output->total_size() != 0))
-    {
-        ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output);
-        ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(input, output);
-    }
-
-    return Status{};
-}
-
-template <typename T>
-void NEConvertFullyConnectedWeightsKernel::run_convert_fc_weights(const Window &window)
-{
-    const unsigned int dst_stride_x = _output->info()->strides_in_bytes().x();
-    const unsigned int dst_stride_y = _output->info()->strides_in_bytes().y();
-
-    Iterator input(_input, window);
-    Iterator output(_output, window);
-
-    execute_window_loop(window, [&](const Coordinates & id)
-    {
-        *reinterpret_cast<T *>(output.ptr() + id.x() * dst_stride_x + (id.y() % _factor1 * _factor2 + id.y() / _factor1) * dst_stride_y) = *reinterpret_cast<T *>(input.ptr());
-    },
-    input);
-}
-
-void NEConvertFullyConnectedWeightsKernel::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);
-
-    switch(_input->info()->element_size())
-    {
-        case 1:
-            run_convert_fc_weights<uint8_t>(window);
-            break;
-        case 2:
-            run_convert_fc_weights<uint16_t>(window);
-            break;
-        case 4:
-            run_convert_fc_weights<uint32_t>(window);
-            break;
-        default:
-            ARM_COMPUTE_ERROR("Data type not supported.");
-            break;
-    }
-}
-} // namespace arm_compute